Return Data Frame of Parameters
Usage
# S3 method for class 'emc.prior'
parameters(x, selection = "mu", N = 1000, covariates = NULL, ...)
# S3 method for class 'emc'
parameters(x, selection = "mu", N = NULL, resample = FALSE, ...)
parameters(x, ...)Arguments
- x
An emc or emc.prior object
- selection
String designating parameter type (e.g. mu, sigma2, correlation, alpha)
- N
Integer. How many samples to take from the posterior/prior. If
NULLwill return the full posterior- covariates
For priors, possible covariates in the design
- ...
Optional arguments that can be passed to
get_pars- resample
Boolean. If
TRUEwill sample N samples from the posterior with replacement
Value
A data frame with one row for each sample (with a subjects column if selection = "alpha" and using draws from the posterior)
Examples
# For prior inference:
# First set up a prior
design_DDMaE <- design(data = forstmann,model=DDM,
formula =list(v~0+S,a~E, t0~1, s~1, Z~1, sv~1, SZ~1),
constants=c(s=log(1)))
#> Parameter(s) st0 not specified in formula and assumed constant.
#>
#> Sampled Parameters:
#> [1] "v_Sleft" "v_Sright" "a" "a_Eneutral" "a_Eaccuracy"
#> [6] "t0" "Z" "sv" "SZ"
#>
#> Design Matrices:
#> $v
#> S v_Sleft v_Sright
#> left 1 0
#> right 0 1
#>
#> $a
#> E a a_Eneutral a_Eaccuracy
#> speed 1 0 0
#> neutral 1 1 0
#> accuracy 1 0 1
#>
#> $t0
#> t0
#> 1
#>
#> $s
#> s
#> 1
#>
#> $Z
#> Z
#> 1
#>
#> $sv
#> sv
#> 1
#>
#> $SZ
#> SZ
#> 1
#>
#> $st0
#> st0
#> 1
#>
# Then set up a prior using make_prior
p_vector=c(v_Sleft=-2,v_Sright=2,a=log(1),a_Eneutral=log(1.5),a_Eaccuracy=log(2),
t0=log(.2),Z=qnorm(.5),sv=log(.5),SZ=qnorm(.5))
psd <- c(v_Sleft=1,v_Sright=1,a=.3,a_Eneutral=.3,a_Eaccuracy=.3,
t0=.4,Z=1,sv=.4,SZ=1)
# Here we left the variance prior at default
prior_DDMaE <- prior(design_DDMaE,mu_mean=p_vector,mu_sd=psd)
# Get our prior samples
parameters(prior_DDMaE, N = 100)
#> v_Sleft v_Sright a a_Eneutral a_Eaccuracy t0
#> 1 -2.0143473 1.78891874 -0.261933308 0.67291215 1.05183887 -1.9073356
#> 2 -1.4920929 4.38879007 0.366179650 -0.38161813 0.63465539 -1.3839875
#> 3 -1.6328156 1.99761939 -0.653497420 1.02898161 0.70464278 -1.6807870
#> 4 -2.1356472 1.21686627 0.148646518 0.10976533 1.05564610 -1.1632452
#> 5 -3.0129731 2.19832175 -0.051958008 0.13019161 0.30377074 -1.9009357
#> 6 0.1045036 2.50421575 0.208772122 0.18641907 0.76272526 -1.7093602
#> 7 -2.9753893 1.93035268 0.306900232 1.00526243 1.08944611 -1.4841607
#> 8 -2.0121300 2.62866158 0.140683450 0.81067334 0.75426995 -0.7763488
#> 9 -1.1135732 1.59763392 -0.015118507 0.73629775 1.01042205 -1.8351078
#> 10 -0.7081644 1.48925534 0.106587112 -0.20269143 1.00790680 -1.4713140
#> 11 -1.3083241 1.04251640 -0.069995656 -0.01120208 0.67992973 -1.6358492
#> 12 -1.7609404 1.50390491 -0.032066995 0.26185780 0.67641547 -1.4190669
#> 13 -2.5757008 1.61125711 0.055954704 0.39296454 1.25939131 -2.2844338
#> 14 -2.8197489 3.83452578 0.799668875 0.38129145 0.94927458 -0.7505563
#> 15 -1.5765657 1.86447628 -0.437822001 -0.26268756 0.68978357 -1.2512241
#> 16 -1.5261317 3.23703979 0.319168690 0.00215092 1.10314698 -1.6419070
#> 17 -0.9811881 2.02022515 -0.487662423 0.80993170 0.50704526 -1.9898548
#> 18 -2.6537607 1.47810689 0.361387347 0.40417719 0.56568479 -1.9324431
#> 19 -2.4147664 0.17366614 -0.186058325 0.48252091 0.73549159 -1.8110409
#> 20 -1.7907836 3.36346565 0.089008657 0.75834686 0.79613702 -1.5899029
#> 21 -3.0362220 2.60699035 0.004878018 0.53227471 0.66022568 -2.3216600
#> 22 -1.7180383 3.41903170 -0.246475780 0.19374901 0.50105881 -1.1770062
#> 23 -1.3414607 1.42611077 -0.432534848 0.06513992 0.30043654 -1.2920012
#> 24 -2.5990365 2.59835922 0.162190243 0.24643496 0.31564972 -1.0655531
#> 25 -2.4904163 2.23565132 0.448761643 0.32001586 1.03628769 -1.6879314
#> 26 -3.2222596 0.82895036 0.617402180 0.49166638 0.22657421 -2.2470308
#> 27 -0.4540213 1.91858817 -0.034867440 0.35992412 1.43366607 -0.8930882
#> 28 -0.6061965 2.33676969 0.049436458 0.47119745 0.82056985 -2.2069569
#> 29 -1.8190485 0.46871925 -0.245640654 -0.31060723 1.12895332 -1.8495090
#> 30 -0.6606711 0.16859230 0.070632220 0.35030844 0.87000614 -1.7273717
#> 31 -1.7480227 2.46943001 -0.072197078 0.16494739 0.63673064 -1.4873194
#> 32 -2.0717568 0.51743571 0.172151924 0.10712461 0.55077378 -2.1905759
#> 33 -2.2463177 1.51277562 0.299982797 0.50563806 0.57599072 -1.4371626
#> 34 -2.1375424 1.92551504 0.182561192 0.45840489 0.29932999 -1.0709574
#> 35 -3.5945949 0.41530733 -0.666468354 0.48240859 0.45244897 -1.2286038
#> 36 -0.6443133 0.94553323 -0.194578969 0.30901464 0.50824370 -1.3573647
#> 37 -3.0745248 3.63901981 0.496661572 0.59588438 0.64760420 -1.6677018
#> 38 -1.3263277 0.81380201 0.226381859 0.22848618 0.86814600 -2.1170268
#> 39 -2.6002265 2.75404973 0.439440688 0.35551414 0.16930247 -1.1585471
#> 40 -1.8902167 2.00633338 0.187233922 0.15531870 0.71638111 -1.6584367
#> 41 -0.3506815 0.65712326 0.124590202 0.14602453 0.83267864 -1.2821551
#> 42 -1.7837295 1.76090501 0.139878565 0.64983773 0.86290101 -1.4694361
#> 43 -3.6142509 0.66046938 0.089001213 0.64494967 0.36536972 -1.1575108
#> 44 -1.9055272 2.21560428 0.199034658 0.33432340 0.67165223 -1.1518064
#> 45 -1.8393616 2.14529086 0.288626315 0.51007543 0.84878169 -1.3868753
#> 46 -0.7396521 1.30887511 0.437796758 0.67422886 0.45740392 -1.4195329
#> 47 -1.6506564 -0.01694964 -0.195005766 0.29520024 0.59923935 -1.3074945
#> 48 -2.0556672 1.06278336 -0.108748823 0.50400573 0.88809168 -1.7700736
#> 49 -2.1491511 1.83977198 -0.447567199 1.08947178 1.12578624 -1.4761280
#> 50 -3.1185333 3.66932285 0.267315479 0.13243125 0.83256782 -1.8296790
#> 51 -4.0062619 2.80797762 -0.376837704 0.15521746 0.97644048 -1.8526641
#> 52 -3.7454473 2.79972485 0.078312679 0.43204175 0.59326672 -1.7349650
#> 53 -1.9918031 4.10376430 -0.652563644 0.12849963 0.75754783 -1.9006405
#> 54 -3.1541262 -0.59310899 0.045360038 0.11656977 0.99791596 -1.3899005
#> 55 0.2709917 1.15635791 -0.152897545 0.56752395 0.80859915 -0.7065183
#> 56 -1.8434427 1.06267931 -0.479596196 0.72756089 0.61588207 -1.8525609
#> 57 -2.3041881 0.36345683 -0.080066329 0.32171799 0.78866559 -1.5394183
#> 58 -2.3058235 1.08298495 -0.230040535 0.41759375 0.40846155 -1.9996819
#> 59 -2.2516425 -0.28696357 0.684312927 0.26534504 0.79000427 -1.4953243
#> 60 -1.4472151 1.22579742 0.386538387 0.36148356 0.49377867 -1.6232733
#> 61 -2.5227432 3.37478968 -0.234251599 1.25234090 0.54734572 -1.8409318
#> 62 -3.6310159 1.02320402 -0.439648638 0.17552012 0.70305163 -1.7905780
#> 63 -1.6893639 3.75527168 0.234418687 -0.52188084 0.67596741 -1.3903173
#> 64 -2.1409833 1.24673945 0.048071163 -0.25048316 0.88114878 -1.9164633
#> 65 -2.9969414 3.49372860 -0.097728352 0.73430679 0.71983061 -2.0451052
#> 66 -2.8949088 1.74063196 0.180747449 0.31142614 1.14131240 -0.8202211
#> 67 -2.1718411 -0.43918954 0.118671897 -0.51212332 0.56926866 -1.6471991
#> 68 -2.1609394 2.32006369 0.238384325 0.61376148 0.12238497 -2.1590119
#> 69 -2.6278425 2.93026533 -0.017108963 0.50464102 0.94598176 -1.4601512
#> 70 -0.2126303 2.15926161 0.183616732 0.56480578 0.82209618 -1.8195393
#> 71 -1.4908624 3.33614353 -0.197042356 0.50618526 0.24153308 -1.0063018
#> 72 -3.5769896 3.55296906 -0.102185834 0.26066324 0.75603730 -1.9385794
#> 73 -3.6350317 2.23777912 -0.334165268 0.23200084 0.77475785 -1.3451795
#> 74 -2.3146025 2.86650383 -0.190400366 -0.07673109 0.50099224 -2.2199757
#> 75 -1.5046980 2.81710516 0.364539940 0.29149160 0.84815080 -1.5847241
#> 76 -1.4865265 2.15355633 -0.407680111 -0.08411235 0.62322196 -1.6416483
#> 77 -0.8616512 2.24206126 -0.078002850 0.94565597 0.57242812 -1.1695833
#> 78 -3.2821607 2.03900413 0.114598086 0.46964719 0.92001305 -1.2431130
#> 79 -2.9466407 0.78128488 -0.746701856 0.18621035 1.08189644 -1.1184695
#> 80 1.4937916 1.34760234 -0.011231984 0.53588603 0.42612420 -1.7220827
#> 81 -1.0334671 0.39512177 -0.343223574 0.38329377 0.72592625 -1.5367905
#> 82 -2.2147505 3.51896713 -0.248443959 0.62456658 0.68439846 -1.6384294
#> 83 -2.9796294 2.46408059 0.181841228 0.47714306 0.70219257 -1.9567201
#> 84 -1.3003269 2.16756717 -0.292312729 0.61820006 0.72325119 -1.0724587
#> 85 -2.9683101 2.21966363 0.146670663 0.37324087 0.57782324 -2.0217419
#> 86 -1.4688865 0.79845685 0.255705848 0.04393180 0.44159995 -1.7239125
#> 87 -1.5397461 3.22482249 -0.268176131 0.37166118 0.86968259 -1.3441057
#> 88 -2.3755934 2.19696841 0.062315200 0.82503458 1.02320585 -1.4840548
#> 89 -1.6364581 1.96913920 0.356041434 0.62811848 0.91058560 -1.0908256
#> 90 -1.2487058 0.41516166 -0.514014153 0.13074164 0.83699811 -1.4348356
#> 91 -3.2887542 0.88731049 0.059591332 -0.26547745 0.30254585 -1.6531145
#> 92 -1.4423882 1.82295005 -0.471632432 0.65341336 1.05260068 -1.6523470
#> 93 -1.5424756 2.17339148 0.250735515 0.51253276 0.34095635 -1.3242183
#> 94 -1.1921800 1.09270850 0.014595889 0.75042495 0.74830554 -1.5482880
#> 95 -1.3698247 2.24915258 0.038175671 0.25015183 0.03916751 -1.9327165
#> 96 -1.7905089 0.51881828 0.417293422 0.79514155 0.34338556 -2.3454227
#> 97 -0.8432153 1.89794267 -0.068820623 0.35442899 0.48701497 -2.0793568
#> 98 -0.9092566 1.48666838 -0.337446908 -0.06185172 0.57023473 -1.7494508
#> 99 0.3119862 1.20966602 -0.668400818 0.53162758 0.46446379 -1.6040856
#> 100 -3.8486804 1.64775874 -0.357280396 0.88359300 1.35622245 -1.7724956
#> Z sv SZ
#> 1 -1.22582614 -1.05554600 -0.715218998
#> 2 0.70103065 -0.31650267 -0.461237346
#> 3 0.57457987 -1.02163052 0.583482081
#> 4 0.18970537 -0.63504871 -0.059579545
#> 5 -2.95806605 -1.43882533 -1.561036115
#> 6 -1.91909720 -0.49564339 -0.333768284
#> 7 0.16176803 -1.43682238 -0.472848623
#> 8 1.70350206 -0.07644533 -0.044023779
#> 9 -1.19600214 -0.58984444 -0.310846108
#> 10 1.68941053 -0.83234814 -0.530763727
#> 11 0.14824852 -0.91280372 0.485460656
#> 12 -0.04797968 -0.87417233 1.204219269
#> 13 0.65222992 -0.29639806 -0.604044718
#> 14 -0.85046837 -0.76162046 -0.903802994
#> 15 -2.37438334 -0.51215684 0.805777826
#> 16 -0.86351945 -1.26512164 1.400852236
#> 17 -1.54990428 -0.41732998 -1.150181367
#> 18 0.11144852 -0.59540697 1.540816688
#> 19 -1.21434652 -0.75852085 -0.488598480
#> 20 -0.43830664 -1.29392267 -2.298117806
#> 21 0.55858479 -1.27295624 0.882854600
#> 22 -0.64228731 -1.06781352 2.464855080
#> 23 -0.27339526 -0.67946576 0.679806035
#> 24 -1.16347291 -0.41608439 -0.527637571
#> 25 -1.66503829 -0.94783061 2.852394689
#> 26 -0.86636598 -1.23452926 1.289062466
#> 27 1.24033955 -0.37277889 0.336996233
#> 28 1.65891412 -0.53935469 1.653519794
#> 29 -0.39107820 -1.05435668 -1.005577880
#> 30 -2.37161374 -0.27899569 -0.726065796
#> 31 0.90709531 -0.62075780 -1.616039577
#> 32 -0.71223125 -0.74793980 -0.035116848
#> 33 0.32583398 -1.04734711 -0.321182269
#> 34 -0.19190403 -0.72346487 -1.212844373
#> 35 -0.02058647 -0.40782638 0.558042306
#> 36 -0.58101340 -0.03837019 -2.031389517
#> 37 -0.62764363 -0.55004507 0.102742884
#> 38 0.31055858 -1.28575540 -0.251662980
#> 39 -1.01517378 -1.08433589 0.210649975
#> 40 -1.49772193 -0.78848026 0.587740295
#> 41 0.25160603 -0.94541644 -1.712726105
#> 42 -2.75610623 -0.22225368 1.575143352
#> 43 -0.54690822 -0.57553137 -1.540775524
#> 44 -0.62590573 -1.07687190 0.509232139
#> 45 2.43055756 -0.70114170 1.550736959
#> 46 0.81946193 -0.23299123 0.754627933
#> 47 1.26608778 -0.48027743 0.935595976
#> 48 0.30286906 -0.26941473 -0.542916133
#> 49 1.81138305 -0.90241569 -1.201113700
#> 50 -0.06032026 -0.55167362 -1.107995877
#> 51 1.34654515 -0.82391737 -0.018650438
#> 52 -0.01183713 -0.82770055 -0.586206048
#> 53 -1.04128119 -1.35559008 0.258114420
#> 54 0.78411773 -1.13979931 -0.003997843
#> 55 -2.10425840 0.14908099 0.100061206
#> 56 -0.66379082 -0.34285734 1.189663979
#> 57 0.15485019 -0.28410666 -1.177648672
#> 58 -0.60633288 -0.61584138 -0.033978848
#> 59 0.18267264 -0.90689438 -1.217229236
#> 60 -0.47970138 -0.63985061 -0.528237503
#> 61 1.25210867 -0.74736962 1.411625711
#> 62 0.32736306 -0.84071291 -0.261182086
#> 63 2.88717869 -0.80202960 0.729857785
#> 64 -0.16657264 -0.60230338 0.216178016
#> 65 -1.01019528 -0.54460827 0.246837866
#> 66 1.19270437 -0.26786847 0.268282875
#> 67 -2.09230498 -1.48619389 0.075932903
#> 68 -1.18260537 -0.93170751 -0.396179179
#> 69 0.87143586 -0.60114575 -0.230183208
#> 70 -0.09314059 -1.17151687 -0.964258521
#> 71 0.13182360 -0.43839945 -0.203668509
#> 72 -0.48832828 -0.55110712 -0.999867294
#> 73 -1.02479856 -0.59212884 -2.277350806
#> 74 -0.64588535 -0.16112568 0.169976898
#> 75 -2.20987601 -0.02123250 -0.080757637
#> 76 0.94512171 -0.45043801 -1.090049117
#> 77 0.76875085 -0.58474055 0.253551316
#> 78 -1.13362281 -0.22114761 -0.855694616
#> 79 1.61447849 -0.96295220 1.348162529
#> 80 -0.02478524 -1.06603344 -0.470736268
#> 81 -0.65144252 -0.34610095 0.210197601
#> 82 -1.64571662 -0.88028765 -0.795846079
#> 83 -0.40977768 -1.64831432 -0.034097913
#> 84 -0.21291117 -0.78014769 1.105979069
#> 85 -0.76587738 -0.72203718 -0.861374288
#> 86 0.55681791 -1.17210617 0.365565824
#> 87 -0.28829517 -0.68211278 -0.731734598
#> 88 1.54905310 -0.70498911 0.396697414
#> 89 -0.33720572 -0.51056801 0.718778901
#> 90 -0.66251271 -0.43107645 -0.097474354
#> 91 -2.04298672 -1.32298989 0.260577396
#> 92 -0.19671813 -1.01941998 1.497260227
#> 93 -1.87480902 -0.54101888 0.466305639
#> 94 0.71137683 -1.08686189 -0.058258819
#> 95 -0.11840783 -0.36662827 -0.882426039
#> 96 0.39918848 0.04704393 1.008509798
#> 97 0.06557379 -0.64460402 -0.665613094
#> 98 0.70375989 -0.66456341 0.507603042
#> 99 -0.63693774 -1.04710758 0.565451306
#> 100 -0.75014880 -1.22450786 -0.640293345
# For posterior inference:
# Get 100 samples of the group-level mean (the default)
parameters(samples_LNR, N = 100)
#> m m_lMd s t0
#> 1 -0.9811196 -0.78261637 -0.550915549 -1.5701987
#> 2 -0.9661313 -0.94391805 -0.374097927 -1.6407631
#> 3 -0.9826687 -0.45909686 -0.453095494 -1.5494807
#> 4 -0.9091190 -0.58215610 -0.583051882 -1.6288851
#> 5 -0.2347931 -0.40856077 -0.318005546 -1.8275333
#> 6 -0.9630477 -0.48595524 -0.851498474 -1.8425821
#> 7 -0.9289952 -0.56134356 -0.564343650 -1.7183571
#> 8 -0.9624463 -0.44454834 -0.393587605 -1.5837815
#> 9 -0.9526650 -0.41553245 -0.582071394 -1.7019723
#> 10 -0.9554050 -0.71563385 -0.362949261 -1.4185379
#> 11 -0.8140972 -0.26612308 -0.768833193 -1.6967899
#> 12 -0.9700553 -0.65848436 -0.452489583 -1.6002041
#> 13 -0.9133665 -0.68743892 -1.093544394 -1.7526855
#> 14 -0.9676942 -0.50167285 -0.745485585 -1.7214540
#> 15 -0.9304879 -0.55000731 -0.422394639 -1.2028143
#> 16 -0.9978517 -0.34314664 -0.416217621 -1.6497508
#> 17 -0.8820441 -0.31286621 -1.054195718 -1.8928151
#> 18 -1.0833885 -0.56306190 -0.324133381 -1.4020840
#> 19 -0.9051631 -0.72807168 -0.607005848 -1.6111211
#> 20 -0.9304912 -0.45985783 -0.336760158 -1.5513197
#> 21 -0.7404763 -0.51271531 -0.523377481 -1.6586290
#> 22 -1.0187790 -0.50733200 -0.398569682 -1.5282437
#> 23 -0.9667462 -0.50268188 0.219079443 -1.7472997
#> 24 -0.9582441 -0.52672186 -0.497889445 -1.6796394
#> 25 -0.9562441 -0.49078944 -0.436195364 -1.5368417
#> 26 -0.9663854 -0.50560942 -0.717922815 -1.5744469
#> 27 -1.0639107 -0.67385177 -0.314030962 -1.4792762
#> 28 -1.0224155 -0.56975173 -0.603173569 -1.3855251
#> 29 -0.9982484 -0.54367301 -0.491158919 -1.7003176
#> 30 -0.9903443 -0.56946833 -0.708312367 -1.6394673
#> 31 -1.0251776 -0.68233892 -0.554351915 -1.6956811
#> 32 -1.1291780 -0.75686292 -0.248538853 -1.5232408
#> 33 -0.9796944 -0.61680796 -0.620540699 -1.6505963
#> 34 -0.8113945 -0.51235466 -0.693188889 -1.7945636
#> 35 -1.2200772 -0.97315003 -0.297626169 -1.2112230
#> 36 -0.9201198 -0.57223551 -0.259050612 -1.6016039
#> 37 -0.9142194 -0.49761480 -0.302216539 -1.5773389
#> 38 -0.9616561 -0.40710868 -0.534711732 -1.7406819
#> 39 -0.9492449 -0.55375334 -0.413224737 -1.5423728
#> 40 -0.9894384 -0.39938793 -0.682662659 -1.9928827
#> 41 -0.8806886 -0.51984748 -0.573467032 -1.4341995
#> 42 -0.9679518 -0.41888690 -0.787556953 -1.9248131
#> 43 -1.0198531 -0.41597227 -0.589020660 -1.6237633
#> 44 -1.0808396 -0.43678203 -0.469510191 -1.6236085
#> 45 -0.9283611 -0.42075473 -0.634612323 -1.7550151
#> 46 -1.1426424 -0.52704506 -0.499286173 -1.5166501
#> 47 -1.3017300 -0.66544623 -0.335280194 -1.2440264
#> 48 -0.9751348 -0.47633672 -0.386779406 -1.6351779
#> 49 -0.9342233 -0.50224789 -0.620946883 -1.6489467
#> 50 -0.9985964 -0.45330474 -0.630421878 -1.5630470
#> 51 -0.9315878 -0.51966481 -0.465783536 -1.7370025
#> 52 -0.9870514 -0.89181965 -0.111344331 -1.4699460
#> 53 -0.9169195 -0.55404444 -0.353231656 -1.5539168
#> 54 -0.8786327 -0.54303675 -0.346648089 -1.5058297
#> 55 -0.9477902 -0.61595771 -0.556930477 -1.1847693
#> 56 -0.9776619 -0.40318795 -0.531056056 -1.2977443
#> 57 -0.8434763 -0.31870875 -0.789633438 -2.0120383
#> 58 -0.9119672 -0.49924716 -0.293699621 -1.5967863
#> 59 -1.0127207 -0.50425518 -0.449933515 -1.5165119
#> 60 -0.7353512 -0.32838606 -0.819073724 -2.0949358
#> 61 -0.9699761 -0.68924491 -0.484697162 -1.5171890
#> 62 -0.9522664 -0.07751097 -0.483834810 -1.6472381
#> 63 -1.0367669 -0.60408727 -0.527622950 -1.4247506
#> 64 -1.3134263 -0.93463755 -0.007397619 -1.3883584
#> 65 -1.0032964 -0.64708915 -0.614916236 -1.7384065
#> 66 -0.9177661 -0.43309888 -0.461699589 -1.6036037
#> 67 -1.0272529 -0.72496932 -0.028530760 -1.8904442
#> 68 -0.7828386 -0.36599802 -0.887909725 -1.9098846
#> 69 -0.9893040 -0.50524756 -0.622618992 -1.7356624
#> 70 -0.9539401 -0.43292314 -0.708360568 -1.9231819
#> 71 -0.7878306 -0.39772668 -0.543149953 -1.6056142
#> 72 -0.9994864 -0.69351118 -0.405460899 -1.0117419
#> 73 -1.0497741 -0.50217850 -0.474831935 -2.0087113
#> 74 -1.0139782 -0.45067914 -0.662114619 -2.1055082
#> 75 -1.1013596 -0.54601993 -0.410663264 -1.5231039
#> 76 -0.9018078 -0.36172083 -0.813482345 -1.8808036
#> 77 -0.8985171 -0.53372756 -0.516235249 -1.6973150
#> 78 -0.9947448 -0.58090808 -0.574309776 -1.6330763
#> 79 -0.9571102 -0.28786304 -0.549653244 -1.6012989
#> 80 -0.9639456 -0.46655578 -0.537054621 -1.7091922
#> 81 -0.9073231 -0.13683258 -0.458140184 -1.2824003
#> 82 -0.8228464 -0.41598224 -0.901945703 -1.8475220
#> 83 -0.9821921 -0.51472643 -0.600772843 -1.6982912
#> 84 -0.9044736 -0.70538364 -0.811337429 -1.4543041
#> 85 -0.7528521 -0.58467753 -0.738577861 -0.6768273
#> 86 -1.0532265 -0.57457383 -0.346887444 -1.3267671
#> 87 -1.0273203 -0.43054779 -0.626083765 -1.5889587
#> 88 -0.9992775 -0.73110696 -0.520787631 -1.7935877
#> 89 -1.0463057 -0.74508312 -0.113591348 -1.2245920
#> 90 -0.9786128 -0.04573991 -0.535787685 -1.7672893
#> 91 -0.9862878 -0.55763510 -0.528719731 -1.5286193
#> 92 -0.8887304 -0.31649320 -0.638359478 -1.6257021
#> 93 -0.9084803 -0.55503472 -0.687918729 -1.8579733
#> 94 -0.9313091 -0.47280438 -0.731479665 -1.8076099
#> 95 -1.0004912 -0.48937830 -0.603968635 -1.5828861
#> 96 -0.9248655 -0.54723492 -0.301369406 -1.4633857
#> 97 -0.8763110 -0.46918520 -0.650341487 -1.4310851
#> 98 -0.8957991 -0.40858245 -0.605396604 -1.7572215
#> 99 -0.9637624 -0.58609448 -0.594637143 -1.2356965
#> 100 -0.9967384 -0.72002983 -0.302294464 -1.3738543
# or from the individual-level parameters and mapped
parameters(samples_LNR, selection = "alpha", map = TRUE)
#> subjects m_lMTRUE m_lMFALSE s t0
#> 1 alpha -1.1570009 -0.7872438 0.4293839 0.16801658
#> 2 alpha -1.0670096 -0.7817840 0.3717159 0.14567906
#> 3 alpha -1.0295195 -0.7175014 0.3760064 0.13708996
#> 4 alpha -1.1770163 -0.7872028 0.4502336 0.17448345
#> 5 alpha -1.1393071 -0.8156149 0.4427031 0.16686474
#> 6 alpha -1.0305718 -0.7005892 0.3546520 0.12159670
#> 7 alpha -1.0596583 -0.7276130 0.4041022 0.14341162
#> 8 alpha -1.1365971 -0.6935565 0.4350651 0.15456096
#> 9 alpha -1.1358369 -0.7700018 0.4360685 0.16459899
#> 10 alpha -0.9864615 -0.6749056 0.3510998 0.11346567
#> 11 alpha -1.0364228 -0.7195639 0.3797011 0.13824446
#> 12 alpha -1.0233665 -0.6886324 0.3852578 0.12726889
#> 13 alpha -1.1124558 -0.7752946 0.4240553 0.16281209
#> 14 alpha -1.1012901 -0.7462984 0.4000909 0.14921527
#> 15 alpha -0.9069335 -0.6106710 0.3531630 0.09617918
#> 16 alpha -1.0258826 -0.7053379 0.3770549 0.13104244
#> 17 alpha -1.0791789 -0.7111617 0.4077908 0.14479556
#> 18 alpha -0.9917101 -0.6936841 0.3761668 0.12990626
#> 19 alpha -0.9866716 -0.6627641 0.3776492 0.12364275
#> 20 alpha -1.0138732 -0.7133038 0.3855606 0.13554326
#> 21 alpha -1.0104788 -0.7217930 0.3803812 0.12913389
#> 22 alpha -1.0842174 -0.7242903 0.4153931 0.15084367
#> 23 alpha -1.0589072 -0.7430621 0.3734719 0.13889447
#> 24 alpha -1.0165478 -0.7216585 0.3891099 0.12822946
#> 25 alpha -0.9176045 -0.6406681 0.3260429 0.08373377
#> 26 alpha -1.0351993 -0.7306344 0.4037468 0.14109172
#> 27 alpha -1.0112245 -0.7127998 0.3723586 0.12499177
#> 28 alpha -1.0676239 -0.7520092 0.3880921 0.13833993
#> 29 alpha -1.0776054 -0.7197328 0.4354251 0.14710947
#> 30 alpha -1.0773372 -0.7508607 0.4036126 0.14451288
#> 31 alpha -1.1358475 -0.8226264 0.4509304 0.17333695
#> 32 alpha -1.0697305 -0.7310913 0.4300572 0.15202498
#> 33 alpha -1.0969674 -0.7679438 0.4221040 0.15768440
#> 34 alpha -1.0786683 -0.7487090 0.4103467 0.15054198
#> 35 alpha -1.1214514 -0.7744996 0.4273802 0.16064738
#> 36 alpha -1.1579801 -0.7964629 0.4383740 0.17228062
#> 37 alpha -1.0641653 -0.7588610 0.4163428 0.14988124
#> 38 alpha -0.9791781 -0.7009921 0.3613880 0.12306163
#> 39 alpha -1.0893286 -0.7238464 0.4301851 0.15178784
#> 40 alpha -1.1000332 -0.7874175 0.4229469 0.16014793
#> 41 alpha -1.0853779 -0.7362570 0.4086294 0.14536702
#> 42 alpha -1.1307905 -0.7485656 0.4460703 0.16851289
#> 43 alpha -1.0286610 -0.7016076 0.3867210 0.12909833
#> 44 alpha -1.1115560 -0.7480559 0.4081617 0.15523067
#> 45 alpha -0.9043945 -0.6405006 0.3300171 0.08445788
#> 46 alpha -0.9626391 -0.6532296 0.3666730 0.10895569
#> 47 alpha -1.0324869 -0.7040148 0.3857555 0.12999493
#> 48 alpha -1.2122631 -0.8352284 0.4708365 0.18429295
#> 49 alpha -1.0798260 -0.7168437 0.4053278 0.14665948
#> 50 alpha -0.9358713 -0.6070935 0.3426830 0.09980805
#> 51 alpha -1.0873505 -0.7368567 0.4186030 0.14979388
#> 52 alpha -0.9806645 -0.6763175 0.3642130 0.11359139
#> 53 alpha -0.9637161 -0.6563292 0.3392152 0.10255932
#> 54 alpha -0.9678162 -0.6533387 0.3786926 0.11947505
#> 55 alpha -1.0141181 -0.6614038 0.3805165 0.12434530
#> 56 alpha -1.1200091 -0.7628625 0.4249748 0.15856903
#> 57 alpha -1.0545759 -0.7220144 0.3871085 0.13975675
#> 58 alpha -1.0279435 -0.7109095 0.3778541 0.13365437
#> 59 alpha -1.0651132 -0.7501589 0.4012592 0.14492181
#> 60 alpha -1.0563478 -0.7381576 0.4046139 0.14626901
#> 61 alpha -1.0399877 -0.7546098 0.3718251 0.13782127
#> 62 alpha -1.0632520 -0.7144881 0.4133738 0.14429825
#> 63 alpha -1.0881057 -0.7515780 0.4403547 0.16440378
#> 64 alpha -1.1556270 -0.7798450 0.4233238 0.16633895
#> 65 alpha -1.0001065 -0.6620950 0.3842340 0.12108479
#> 66 alpha -1.0198099 -0.6893782 0.3836754 0.13544359
#> 67 alpha -0.9439693 -0.6438970 0.3623025 0.11101413
#> 68 alpha -1.0808029 -0.7697418 0.3930781 0.15268079
#> 69 alpha -0.9473575 -0.6505703 0.3612524 0.10499307
#> 70 alpha -1.0355221 -0.7703158 0.3595023 0.13163747
#> 71 alpha -1.0192035 -0.7131389 0.3764897 0.12869942
#> 72 alpha -1.1597054 -0.7582343 0.4607373 0.17565856
#> 73 alpha -1.0493961 -0.7258235 0.3710301 0.13354864
#> 74 alpha -1.0734022 -0.7536389 0.4099012 0.14678890
#> 75 alpha -0.9055053 -0.6551253 0.3138597 0.08324387
#> 76 alpha -1.0160926 -0.6970351 0.3937478 0.12578117
#> 77 alpha -1.0431399 -0.7232982 0.3814829 0.13246155
#> 78 alpha -1.1271240 -0.8060048 0.4442186 0.16721360
#> 79 alpha -1.0670625 -0.7345962 0.4141387 0.14790988
#> 80 alpha -1.1114749 -0.7428704 0.4221870 0.15689487
#> 81 alpha -0.9443908 -0.6804092 0.3542292 0.10661996
#> 82 alpha -0.9729386 -0.6949539 0.3710433 0.11339297
#> 83 alpha -0.9456366 -0.6530277 0.3498557 0.09910587
#> 84 alpha -0.9683943 -0.6868948 0.3505727 0.10914970
#> 85 alpha -1.1186404 -0.7890304 0.4038738 0.15641637
#> 86 alpha -1.0697365 -0.7200119 0.4116401 0.14756638
#> 87 alpha -1.1054970 -0.7872433 0.4214496 0.15929478
#> 88 alpha -0.9471675 -0.6662281 0.3635858 0.09885393
#> 89 alpha -1.0787862 -0.7117497 0.3971265 0.14352790
#> 90 alpha -1.0730467 -0.7362955 0.4080333 0.14282382
#> 91 alpha -0.9914230 -0.7085223 0.3706027 0.12439652
#> 92 alpha -0.9993865 -0.6873189 0.3658255 0.12085522
#> 93 alpha -1.0646996 -0.7544896 0.3937386 0.14296763
#> 94 alpha -1.0580397 -0.7358224 0.4243844 0.14750745
#> 95 alpha -1.1130749 -0.7346204 0.4230006 0.15585541
#> 96 alpha -1.0558257 -0.7138059 0.3967373 0.13531140
#> 97 alpha -1.0695557 -0.7394513 0.4269228 0.15792581
#> 98 alpha -1.1564659 -0.7780094 0.4371126 0.16932010
#> 99 alpha -1.0237728 -0.7107497 0.3842627 0.13000473
#> 100 alpha -0.9618811 -0.6560182 0.3676605 0.11373738
#> 101 alpha -1.0235771 -0.6897257 0.3662859 0.12513523
#> 102 alpha -0.9393513 -0.6448309 0.3552599 0.10750156
#> 103 alpha -1.0443786 -0.7055384 0.4001313 0.12742383
#> 104 alpha -1.0847885 -0.7928594 0.4082327 0.15822779
#> 105 alpha -1.0292111 -0.7365530 0.3648745 0.12942239
#> 106 alpha -1.0995296 -0.7177378 0.4279220 0.15486906
#> 107 alpha -1.0667479 -0.7282988 0.3957993 0.14382537
#> 108 alpha -0.9850518 -0.6581731 0.3958601 0.12613933
#> 109 alpha -0.9367062 -0.6849032 0.3523640 0.10495299
#> 110 alpha -1.1277728 -0.7819916 0.4476395 0.16881901
#> 111 alpha -1.0571453 -0.7464033 0.3996287 0.14370013
#> 112 alpha -1.0237487 -0.7394211 0.3614820 0.12631052
#> 113 alpha -1.0025288 -0.6748217 0.3877831 0.12048503
#> 114 alpha -1.1086645 -0.8301767 0.4256795 0.16050426
#> 115 alpha -1.0403600 -0.7341616 0.3852665 0.13002827
#> 116 alpha -1.0900099 -0.7806913 0.4230767 0.16333041
#> 117 alpha -1.0471909 -0.7226619 0.4004733 0.14200933
#> 118 alpha -1.0127200 -0.6909032 0.3779048 0.12319567
#> 119 alpha -0.9335804 -0.6556374 0.3592914 0.10205537
#> 120 alpha -0.9541202 -0.6773315 0.3514517 0.10763646
#> 121 alpha -1.0693791 -0.7308815 0.4089236 0.14606731
#> 122 alpha -1.1640536 -0.8084877 0.4288452 0.17343929
#> 123 alpha -1.1375975 -0.7754573 0.4076061 0.15629489
#> 124 alpha -1.0507805 -0.6994638 0.3841095 0.13423306
#> 125 alpha -1.0846929 -0.7351153 0.4029959 0.14618218
#> 126 alpha -0.9881773 -0.7053132 0.3759156 0.12005471
#> 127 alpha -1.0521620 -0.7068017 0.4113915 0.13817453
#> 128 alpha -1.0667811 -0.7201335 0.4146586 0.14560177
#> 129 alpha -0.9819987 -0.6750864 0.3853135 0.12153688
#> 130 alpha -1.1377099 -0.7736763 0.4028053 0.15886852
#> 131 alpha -1.0467212 -0.7447093 0.3831709 0.13651159
#> 132 alpha -1.0786933 -0.7338470 0.4182813 0.15261339
#> 133 alpha -1.0312194 -0.7421994 0.3958864 0.13284598
#> 134 alpha -1.1543569 -0.8002066 0.4381499 0.17128686
#> 135 alpha -1.0832061 -0.7767270 0.4038499 0.15294995
#> 136 alpha -0.9798464 -0.6775429 0.3551291 0.11139055
#> 137 alpha -0.9587767 -0.6990903 0.3635988 0.11530345
#> 138 alpha -0.9534068 -0.6852145 0.3682995 0.11259044
#> 139 alpha -1.0243337 -0.7074813 0.3674736 0.12586707
#> 140 alpha -1.1842117 -0.8186786 0.4459840 0.18868285
#> 141 alpha -1.0433496 -0.7409972 0.3704495 0.13948958
#> 142 alpha -1.1117800 -0.8193618 0.4157302 0.16859284
#> 143 alpha -0.9432500 -0.6300303 0.3442393 0.09394759
#> 144 alpha -1.0718319 -0.7176486 0.3998227 0.13953618
#> 145 alpha -0.9898864 -0.6202097 0.3695391 0.10954006
#> 146 alpha -1.0706455 -0.7162288 0.3884072 0.14315521
#> 147 alpha -0.9637710 -0.6499030 0.3661698 0.10857226
#> 148 alpha -1.1166088 -0.7311733 0.4181847 0.15157460
#> 149 alpha -1.1899999 -0.8229935 0.4918894 0.18452999
#> 150 alpha -0.9450893 -0.6669010 0.3621561 0.11003797