02fd9be8cec8f0131146fe203538aa96 *DESCRIPTION
956b3c415ef0083c726275888822e0b5 *NAMESPACE
a10509ad81dbe17c229c4ba2b4400116 *NEWS.md
e286d0c04b5cc3acf4818cef46490ea8 *R/BuildIt-data.R
e04cb0c8c58d9d65b86427da9dc956a1 *R/allowances-data.R
9ae609fb663742c800db05f333ce7778 *R/auditPrior.R
34feed94321223e85f7e1202adb5db61 *R/benchmark-data.R
6ea4bdb52c911e5e5dc37379e61cc63e *R/carrier-data.R
ebb8f6c271bee13cbdf5459b83f2c279 *R/compas-data.R
e1048d6091d051f1a0638c9102b2e00d *R/digit_test.R
9d05b460ae008b9f248404914b25a657 *R/evaluation.R
a66f26cb838eb548153e3771234ff466 *R/jfa-internal.R
9f7b18bb4621a8088e4e4f865c7837af *R/jfa-methods.R
9b122b947c1f5da4f2473b6939eadcce *R/jfa-package.R
243de14a9b221c7349788d7249baed23 *R/methods.R
b6b8ec52629e8f2ea3b5c20fa72713a4 *R/model_fairness.R
3ae6692f988485a90ea3c21b1750471b *R/planning.R
77461c9182c43eafd05bcb600d155166 *R/repeated_test.R
cc50786d56848544ba91c4955f12b855 *R/report.R
b2f5ed21a2b04e3c68b92d390c617cc7 *R/retailer-data.R
8fd5672c484a14a2d13e27de6e6bd339 *R/sanitizer-data.R
3cda0b0b24acf69b98864aa6d1aa80e4 *R/selection.R
69be9e1ffea088a1b253b0f102ce741c *R/sinoForest-data.R
d211f4cd9882903ad2d119fc3a350a54 *R/stanmodels.R
6db1bca8b93d3189178d555d2028ce5c *README.md
ea124a494ad7922985532ad3b308e4d5 *build/partial.rdb
9f797ce243c06327a74c173b555250d3 *build/vignette.rds
7e297a31e37e77c201a2bacff2f979eb *configure
5fdedca26c8830d7bb06aa1c4a634204 *configure.win
e1c87e84cf5018f44aaed7d34f49f403 *data/BuildIt.RData
84e064c9be719f6ba8decc3bb1a3a7d1 *data/allowances.RData
1ded0033ef096512b241843d8564c098 *data/benchmark.RData
d25086ccbadc59985c9052a651918360 *data/carrier.RData
f54488904e4191b4f45e7814623c6607 *data/compas.RData
741b55064e712930914903ae248ab40c *data/retailer.RData
c664e6ec708b09d463da24798dbaaca3 *data/sanitizer.RData
895e1e524bd4a2599bd29d6a736a9bfd *data/sinoForest.RData
a7e56963e37f8ae20c722e1507955652 *inst/CITATION
d62716a4233c465d5a85817dfd725f12 *inst/doc/algorithm-auditing.R
0659b9c3339d55524c28c79a8c9980b7 *inst/doc/algorithm-auditing.Rmd
bbc625874307508c3439493ab00afebb *inst/doc/algorithm-auditing.html
e47de1c11d803bc712bdcbed01dd1cd3 *inst/doc/audit-sampling.R
c1da57068ec50518943a4ffa7e58ba8c *inst/doc/audit-sampling.Rmd
979a5190c543132525cabbcb7f0a218d *inst/doc/audit-sampling.html
194778d8c60d86ea2906f6ae5a0e8fbc *inst/doc/bayesian-sampling-workflow.R
dc9fa254867b126773dd72ee83ff7717 *inst/doc/bayesian-sampling-workflow.Rmd
1e586eeb6be9b3495986f62f113749e1 *inst/doc/bayesian-sampling-workflow.html
f48fed659d423962fb282d340cf6b85f *inst/doc/creating-prior.R
2e6f2a4bf848498e490806cac38c02c0 *inst/doc/creating-prior.Rmd
04db21789ab873bd9625b0a6c49cf6af *inst/doc/creating-prior.html
a0ee24de3fda5666f3a7f8b8f99f50e2 *inst/doc/data-auditing.R
ffe3d0b9909b5c3bc8e6ec7130e1be35 *inst/doc/data-auditing.Rmd
6203c5de28143d49cfbb86ff4b54301b *inst/doc/data-auditing.html
08b667f41861fc75489b82ea292ff465 *inst/doc/digit-analysis.R
ea28dd70fc7aae7f1859d3ee551905e2 *inst/doc/digit-analysis.Rmd
5d9bdc3dd8a952d28bf016c011d6c2d1 *inst/doc/digit-analysis.html
8aa4ac940df5c70cf46e3dcd4eb2bdae *inst/doc/jfa.R
429883a03ebdae677a21ff879aaffaa0 *inst/doc/jfa.Rmd
b19314d79516f4cdae06df0ca7164812 *inst/doc/jfa.html
486a256e781a3eaa773a3e5087523ee6 *inst/doc/model-fairness.R
025ba29151e8ab873bcf618aeea179f1 *inst/doc/model-fairness.Rmd
2ac1021d9f7a33480871e6eaccb41f43 *inst/doc/model-fairness.html
4f943d981cb17a0dd6b047d88dc5dcb5 *inst/doc/sample-evaluation.R
c3f38b966ee6ef2b2b090b103c0bac56 *inst/doc/sample-evaluation.Rmd
410bae0d55e11c80f1994b0137605914 *inst/doc/sample-evaluation.html
ecf2d64d3c6ad09e662f9230c1883a20 *inst/doc/sample-planning.R
ecd0fe6280059e58230c2d02142273fb *inst/doc/sample-planning.Rmd
79d66af4bc51d75fc79c6e1a2b8fbcd3 *inst/doc/sample-planning.html
9adbb5486b6b3bd5b468082e8acc27b7 *inst/doc/sample-selection.R
17647d9f2aaefd0a680934cf87c2f787 *inst/doc/sample-selection.Rmd
e561cb8133f383d97167049619dfea38 *inst/doc/sample-selection.html
aa5e5701ebe194967bc77223859922b2 *inst/doc/sampling-workflow.R
2731f92aac47aabd9914a29b1ffe9484 *inst/doc/sampling-workflow.Rmd
53acc13132d8427fd864a27ce518cdcb *inst/doc/sampling-workflow.html
855c064dbf8deaff96c8dc8a87169109 *inst/include/stan_meta_header.hpp
fca74b9685176cceb6ac6fe05619d059 *inst/rmd/jfaLogo.png
5ebe458b0c95f545637258d8157c4c41 *inst/rmd/report_evaluation.Rmd
7793ccdadfdf5a4d9b0cbbb60991c510 *inst/rmd/report_planning.Rmd
9866d77b8a6b16a4de585fc268f7897c *inst/stan/include/license.stan
462f09bd40104d5c06251365ed1d327d *inst/stan/or_fairness.stan
4cce289a31e02a4e7379e633b73bf152 *inst/stan/pp_error.stan
6b787551deca5e15dbb183b5560f4ddb *inst/stan/pp_taint.stan
b4e5288339586de722e0f0da8754ae3b *man/BuildIt.Rd
9fc9f2b6a4e441a6ff12f5fae961e5fb *man/allowances.Rd
65a27b173c8451b4c24235ab34d8d2a2 *man/auditPrior.Rd
01b774c062338c3cdb441a060e107b10 *man/benchmark.Rd
b227c3c904cc26121b99119b9d51f0bf *man/carrier.Rd
75abff27925a5f59af0f55ea39ebdc87 *man/compas.Rd
6e6263af59b2493e5c00f187bf692c39 *man/digit_test.Rd
8960c3d5635c1b7829ad673f29d506db *man/evaluation.Rd
30aa4db24e1a9b8c8b1cd39018f08af0 *man/figures/fairness-tree.pdf
0f15a211aa2a7635e473534eb5dd3316 *man/figures/fairness-tree.png
fca74b9685176cceb6ac6fe05619d059 *man/figures/logo.png
a0297faeeb5bd081a837aeba137680d0 *man/jfa-methods.Rd
f95a226512f0ed0de67cdfb8d942f6d3 *man/jfa.Rd
ff5a445db93c091526bcea47e9e5050f *man/model_fairness.Rd
6f1f366ffaa6a01e85951bbdd40072e6 *man/planning.Rd
b8e65dde3ac5cd0f57d4e0ce3e547efb *man/repeated_test.Rd
6aab8ac596e48dc53c86c36bf9116566 *man/report.Rd
dcf5806bacae4650acf0f78ee12bbb93 *man/retailer.Rd
7fa8ecea3f0f7a17e48476338e460ca3 *man/sanitizer.Rd
5f939dc5819dc2f1b07665bfde1286d7 *man/selection.Rd
da556118e62940dcc685c40e54a7524b *man/sinoForest.Rd
564c40d0e86bb1e58d039ff240e97b9f *src/Makevars
457929755cc1db9abe969d16b0006005 *src/Makevars.win
8103ee46a4fd542f55824caf44559879 *src/RcppExports.cpp
36842c21cbb45ace84038eba78494764 *src/stanExports_or_fairness.cc
27779192dc8880de356e1927aa4a6439 *src/stanExports_or_fairness.h
da23b379b66b12297a497c374a522475 *src/stanExports_pp_error.cc
ef5bcc650f2cc18fc7bd879ac663b23f *src/stanExports_pp_error.h
7952068d33ed163c282b40e3fca8b20f *src/stanExports_pp_taint.cc
64db2552cc2cc510ab5a9509912bd001 *src/stanExports_pp_taint.h
362bbdc023f90efb40232f5332ab0809 *tests/testthat.R
9e53327e4c3b22a33a54dc08673b81d0 *tests/testthat/test-MUS.R
4e8834068e392af23607dde154a0f774 *tests/testthat/test-aicpa-appendix-a.R
52eaebf405d045840ada643a62ddf9ca *tests/testthat/test-aicpa-appendix-c.R
d6d3e58c35b3e4bf5c4061e499802159 *tests/testthat/test-audit-sampler.R
f23adeffb625fd0d47cb5155eb37765f *tests/testthat/test-auditPrior.R
c9067cb97686778b22c4bbfd9926d249 *tests/testthat/test-digit-test.R
e64917d3be694f56c0f10ddd81a63dc4 *tests/testthat/test-evaluation.R
3c1c16e35c1d95e3fc2c50dfe07dda65 *tests/testthat/test-extract_digits.R
4cc1de10fa3c65436120aac49310a819 *tests/testthat/test-ezquant.R
b406649a5f187cdc7cf0fe110e0d45e7 *tests/testthat/test-model-fairness.R
610e95a77a3c250e6d7055211d2ac9f3 *tests/testthat/test-other.R
d428a708396b7dbfa999ca878832dfb0 *tests/testthat/test-planning.R
3a5d4e5caeb63e67a95e19544db181a6 *tests/testthat/test-repeated-values.R
a9231c2b62af1c91b1f1e189a2f326db *tests/testthat/test-samplingbook.R
823f438f40df1716d05d2023dfb2051f *tests/testthat/test-selection.R
900aac18261cdb7cfe772001c1bf8681 *tests/testthat/test-smash21.R
318fd0a19d565c735328a6efe1f9f132 *tests/testthat/test-sra.R
bf4ba00efcf44088ee1d635cf4c33fa5 *tests/testthat/test-statistical-tables.R
939328563602eef6d7006690eb5bce18 *tests/testthat/test-touwhoogduin.R
32c45c85105bc36f52ab20c60a4ecf83 *tests/testthat/test-workflow.R
0659b9c3339d55524c28c79a8c9980b7 *vignettes/algorithm-auditing.Rmd
c1da57068ec50518943a4ffa7e58ba8c *vignettes/audit-sampling.Rmd
dc9fa254867b126773dd72ee83ff7717 *vignettes/bayesian-sampling-workflow.Rmd
849f75f337b39208ad99e57574bf7847 *vignettes/cellSampling.png
595a445ea59689c7a710675cb59cb84c *vignettes/cheatsheet.png
2e6f2a4bf848498e490806cac38c02c0 *vignettes/creating-prior.Rmd
ffe3d0b9909b5c3bc8e6ec7130e1be35 *vignettes/data-auditing.Rmd
ea28dd70fc7aae7f1859d3ee551905e2 *vignettes/digit-analysis.Rmd
86aa05fb281b250e5aea433035a5ede0 *vignettes/evaluation.png
0f15a211aa2a7635e473534eb5dd3316 *vignettes/fairness-tree.png
8fbed9dfac3933785eaa43af663d378f *vignettes/fixedIntervalSampling.png
429883a03ebdae677a21ff879aaffaa0 *vignettes/jfa.Rmd
da264537027582d11d0f6573e8d528b8 *vignettes/jfaBanner.png
025ba29151e8ab873bcf618aeea179f1 *vignettes/model-fairness.Rmd
04f380a856a5e60676f972b0cc019fab *vignettes/planning.png
d02133e442227587665af831428df849 *vignettes/randomSampling.png
c3f38b966ee6ef2b2b090b103c0bac56 *vignettes/sample-evaluation.Rmd
ecd0fe6280059e58230c2d02142273fb *vignettes/sample-planning.Rmd
17647d9f2aaefd0a680934cf87c2f787 *vignettes/sample-selection.Rmd
2731f92aac47aabd9914a29b1ffe9484 *vignettes/sampling-workflow.Rmd
7939a2bf0d45f1e9c1b6211e72dd0ae3 *vignettes/selection.png
5b8521e2042375996fc0cf309b681894 *vignettes/workflow.png
