9a03a4575161be3f37e06d05bbe97019 *DESCRIPTION
69dbabaf84769b9435e080efef258eb2 *NAMESPACE
4031e9cae22db78b54a46e3234bed2d8 *NEWS.md
873aa0264b4d7c0f50dc91d7bbf50468 *R/data.R
a88352398b59cccc01dadee92df20247 *R/epred_draws_metad.R
91af110ce62c15b3557f3dcc5f8a8b87 *R/hmetad-package.R
5e760146304bec69ec38ece2ae975120 *R/hmetad.R
4db6f325bbc5f19fd89a7f0971eb8f7b *R/linpred_draws_metad.R
b462503a9944e7f88ce5b490598edf79 *R/mean_confidence_draws.R
27678645c11c0f6d3036c2ceb3295fe2 *R/metacognitive_bias_draws.R
0e62de436b61f7169ac2a06ae5a85ad9 *R/metad_family.R
5a127133e903b0998819dedbc8d8878a *R/predicted_draws_metad.R
0d47afba880dc16625e1ce6a1b709030 *R/roc_draws.R
5d506f899983c6c250aaebf172952049 *R/simulate.R
71f0c706a8cd47fb14fc29602b6ab245 *README.md
f51ba7c8bc94d8cf1fd072b85c6e53ab *build/partial.rdb
c7d4e82437a0ecef197f2dd2e1bd4cd1 *build/vignette.rds
c7721cdd8aa0a7e80d9646e6213de02e *inst/doc/alternative_distributions.R
95ec8d0d0cb5760a64d5cb9ce771ab0e *inst/doc/alternative_distributions.Rmd
bb31804dacb647945b6415e3a30f8564 *inst/doc/alternative_distributions.html
647855d82592b5ddf70b2ed17751383b *inst/doc/categorical.Rmd
1e99285f59a1e68e7ec5371c22ace361 *inst/doc/categorical.html
4b73eb641175b24140225b50974d32e2 *inst/doc/history.R
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649ad6d441c50d21f964d158db11d665 *inst/doc/hmetad.R
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e8950152041f1a7f3bece0979188e973 *inst/doc/parameterization.html
c4fb0984cc7823b91285d762941879af *man/aggregate_metad.Rd
380e805eb5666715c2e56803f9c2f7b4 *man/bias_draws.Rd
35f040366c01139b19d1e3c5c63757cd *man/cor_matrix.Rd
026b1ae99c2c95f7a89965bd78aaae0a *man/cov_matrix.Rd
80aa665c9979f2b508e917e57d66e131 *man/epred_draws_metad.Rd
dbaa908dd6128a0be69911fa972745cb *man/example_data.Rd
3e583f7a7cf4a50cb43807f02a746cd7 *man/example_model.Rd
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7ed67c722555e3a414be5d5ac3cba820 *man/fit_metad.Rd
d113902440391420278be9aa1a4e2c34 *man/hmetad-package.Rd
9fa2c7d32b239008c5403e2ffacc3b4e *man/linpred_draws_metad.Rd
3d1b155d735747cd83f8818ce825f637 *man/mean_conf_draws.Rd
e4dd8378226d1388b7032c82a0c88008 *man/metac2_parameters.Rd
a989daba2255c47ae56102f5f5031cc6 *man/metad.Rd
70d58f2f38af2037de910a52bfc0d2bb *man/metad_pmf.Rd
5861461f343b35f585daf33229b1ae4f *man/normal_dist.Rd
d0e8227fb2e00456a69b62ebf462b208 *man/predicted_draws_metad.Rd
f1081a64133272950fc2d056588b67c0 *man/response_probabilities.Rd
d4b88837bec72bbc3e25532ced3f54ac *man/responses.Rd
619b3e9dc50e656c2f32a52a67b194db *man/rmatrixnorm.Rd
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19ce200560900ab72d40e4390413e372 *man/roc2_draws.Rd
7a0cd42d14d9413026808703bc838caf *man/signed.Rd
52485d669277f8d235021b803ea12047 *man/sim_metad.Rd
94f48fd2d5ce793e7ee7835cd98fe947 *man/sim_metad_condition.Rd
dc38aba4173e50ba375add4b0aca4a30 *man/sim_metad_participant.Rd
f13cb75c199292dedfa93cc9158b8582 *man/sim_metad_participant_condition.Rd
5f7106501f9d9bcb05aa6e134132bce4 *man/stanvars_metad.Rd
3aa6154481b722e5228c68206320800a *tests/testthat.R
d704c22a0944c5181be857155d55b5ed *tests/testthat/test-draws.R
d834e73da873d246e33d7e15735e0793 *tests/testthat/test-hmetad.R
2019ea07629cb02d174112d165464438 *tests/testthat/test-metad_family.R
83591568bde086d1b16a509f21f0c7fd *tests/testthat/test-simulate.R
95ec8d0d0cb5760a64d5cb9ce771ab0e *vignettes/alternative_distributions.Rmd
c5154d8535845bb731e99d4c55af2069 *vignettes/apa.csl
647855d82592b5ddf70b2ed17751383b *vignettes/categorical.Rmd
1997a58cbb7c2cc7954415c12f0755f6 *vignettes/citations.bib
7a1115e83b2f32f6cd60e3f332c23892 *vignettes/history.Rmd
729253ef560335a90454d45509cd3bd1 *vignettes/hmetad.Rmd
c6994e151e15f185b61b0ba6828a3abe *vignettes/parameterization.Rmd
0b5146c768085fd1ef9b76c055ffa62a *vignettes/precompile.R
454997efa187edefbeec2298038cb1ad *vignettes/src/_categorical.Rmd
