49bf948da266b6ad6954863cef2ffb5b *DESCRIPTION
5bf64af16eb6e36082a4e3efc24f41bd *INDEX
129d4fd87309c515f421bacb3c869689 *LICENSE
69050ea9e7dbb31adad37c8d1e8a8378 *Meta/Rd.rds
73392dd22050dcfd8174177083a37623 *Meta/data.rds
854c930838846579e84a22a721624a4d *Meta/features.rds
dc405dc7429218d6c4151aa25d92d653 *Meta/hsearch.rds
9353799ea2eba85cee62723b2476c4a4 *Meta/links.rds
506cace222156ef0b65fd45278ccad6b *Meta/nsInfo.rds
980b8f71650f2ef038e44289c5a54994 *Meta/package.rds
568dab0af14fc3137d78c45cdaa64e1f *Meta/vignette.rds
6914812fd20df551cd07baed73b75938 *NAMESPACE
afed614cdf191c7bd04e0f0ae87234a8 *NEWS.md
d6c68f1fe41ced6e98a766a3757313da *R/BayesianPlatformDesignTimeTrend
9e202fe4ee85fd5b821bb401fc139b30 *R/BayesianPlatformDesignTimeTrend.rdb
dc23350378a78dd27e36f8a50019bf26 *R/BayesianPlatformDesignTimeTrend.rdx
620684b173b682b5a348ef9db4fa637b *data/Rdata.rdb
bbc2af5d39cd9b67187eabfd74576d02 *data/Rdata.rds
87800bb73fd9389d35948a557d256d23 *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
3270019c778613b58b26d22253c127c0 *help/BayesianPlatformDesignTimeTrend.rdb
941ce018729a8f8c5aeac25b1d40dc3d *help/BayesianPlatformDesignTimeTrend.rdx
df0d4aee83f1c854451afc0a4f30748b *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
79e6bbfcac258cc8be2ee18bca19400a *help/paths.rds
ec260f56bfb6113ce3be337950bcf2db *html/00Index.html
8b9362669af13540a86a3ac6cf22f99d *html/R.css
855c064dbf8deaff96c8dc8a87169109 *include/stan_meta_header.hpp
d8be1247fd7469468f81dbca2064da6e *libs/x64/BayesianPlatformDesignTimeTrend.dll
5ea4730fea5a47327ab3b4ada2608f50 *libs/x64/symbols.rds
5fe2fb64a7b7b4d1180c7cb024e6c7f1 *stan/betabinom.stan
4b77270bf8f20674ff01d06ea45fe4cd *stan/include/license.stan
50ea37e06da6c3aaad42150a4b8abb47 *stan/logisticdummy.stan
722e7399dc1cd9063d64a67124534bfc *stan/randomeffect.stan
