b3d33598f2d17c497c8fe69f99408925 *DESCRIPTION
5bf64af16eb6e36082a4e3efc24f41bd *INDEX
129d4fd87309c515f421bacb3c869689 *LICENSE
e01f0c607f93c7baf4588930a9194c84 *Meta/Rd.rds
446fd4f807b3fd9f17ec11d8feda2cdf *Meta/data.rds
86d0636b4c700e416386835098fcba6f *Meta/features.rds
dadb657be26c8b3623f317c8f12bad86 *Meta/hsearch.rds
39d71ab6adf4fd7762650cd6e34ceb8f *Meta/links.rds
854ab5cc91b69b68eb312523381d2bea *Meta/nsInfo.rds
d301fa1b9aa0f26b49984fdfc160c2f6 *Meta/package.rds
568dab0af14fc3137d78c45cdaa64e1f *Meta/vignette.rds
6914812fd20df551cd07baed73b75938 *NAMESPACE
afed614cdf191c7bd04e0f0ae87234a8 *NEWS.md
d6c68f1fe41ced6e98a766a3757313da *R/BayesianPlatformDesignTimeTrend
07e4458a927af333bc84cc15f5ca04f1 *R/BayesianPlatformDesignTimeTrend.rdb
501c1a6fb9d2dfa36e7114697c6b7caa *R/BayesianPlatformDesignTimeTrend.rdx
d3b188ece1bdcaa36af179f9655eb3e6 *data/Rdata.rdb
8837c6ebc0075e63913751a416510ddd *data/Rdata.rds
858c3356758c13e1b9bef5fe3b26db06 *data/Rdata.rdx
aaf5a8fcb015ea8f3ccf554811a2bd60 *doc/MAMS-CutoffScreening-GP-Asymmetric-tutorial.R
89365571a25c155dd1a59a15c8a24141 *doc/MAMS-CutoffScreening-GP-Asymmetric-tutorial.Rmd
c40bd67eabbea2927c508d153d7cd369 *doc/MAMS-CutoffScreening-GP-Asymmetric-tutorial.html
dc10c9fb072ad4973c9ac796d39f09be *doc/MAMS-CutoffScreening-GP-Symmetric-tutorial.R
cedd4ea1b692815a3c8c49d6ab6aa680 *doc/MAMS-CutoffScreening-GP-Symmetric-tutorial.Rmd
1fa81f716e0ab8f00bba117c82ad71a8 *doc/MAMS-CutoffScreening-GP-Symmetric-tutorial.html
6af9d558ee105ef2ca87e008eee4e4c5 *doc/MAMS-CutoffScreening-tutorial.R
778e3103bb8cd3c5e00e12e136dce323 *doc/MAMS-CutoffScreening-tutorial.Rmd
fbdb4c617798de49904c17c77309a6b7 *doc/MAMS-CutoffScreening-tutorial.html
890c3f37d920e8ee26b4e3139708be9f *doc/MAMS-trial-simulation-tutorial.R
5002f6365b0c8a244d1d45ab5c4fea31 *doc/MAMS-trial-simulation-tutorial.Rmd
224a61bc275352c028ebc053d14d8f1e *doc/MAMS-trial-simulation-tutorial.html
a32c3daaab9f84ac5bc109fd568dc904 *doc/index.html
477e79011119cea747f4dfde4deff8c9 *help/AnIndex
b281730f49d789d40717c32e663df1a3 *help/BayesianPlatformDesignTimeTrend.rdb
f5722d1ca6e71e9e3e972618536af4f6 *help/BayesianPlatformDesignTimeTrend.rdx
a004b3ef649cd9204a9f2bd99e50e135 *help/aliases.rds
bc26f5b0c9b5066998f032a95d94d508 *help/figures/Asymmetric.png
4e42f29b249ea09bc7374de3622085a9 *help/figures/Asymmetricscreening.png
863064901d6a6e51e4dadfbaab9fc434 *help/figures/Designevaluation.png
d7325ea4917c2e677ade5cf01c7c60ae *help/figures/Designevaluationwhiteback.png
7fc5b01aca971d47a523c00e11ccff12 *help/figures/Symmetric.png
33cb59c9a34d6a47e3fedede9c3e19fc *help/figures/Symmetricscreening.png
1aa34cb1fe96b60e2c556d2d62fbb2e8 *help/figures/Trippa.png
e3a026a0a7b1c30796631c4616af2b06 *help/figures/Trippascreening.png
e38723525e0461cf04ec2dfafcc6764c *help/paths.rds
ec260f56bfb6113ce3be337950bcf2db *html/00Index.html
8b9362669af13540a86a3ac6cf22f99d *html/R.css
855c064dbf8deaff96c8dc8a87169109 *include/stan_meta_header.hpp
c2e06be96a6bbda485f11a6e67609c60 *libs/x64/BayesianPlatformDesignTimeTrend.dll
4e3ccd9d92cb4a85169be37896e086b4 *libs/x64/symbols.rds
5fe2fb64a7b7b4d1180c7cb024e6c7f1 *stan/betabinom.stan
4b77270bf8f20674ff01d06ea45fe4cd *stan/include/license.stan
50ea37e06da6c3aaad42150a4b8abb47 *stan/logisticdummy.stan
722e7399dc1cd9063d64a67124534bfc *stan/randomeffect.stan
