Package: blrm 1.0-2

Furong Sun

blrm: Dose Escalation Design in Phase I Oncology Trial Using Bayesian Logistic Regression Modeling

Design dose escalation using Bayesian logistic regression modeling in Phase I oncology trial.

Authors:Furong Sun <[email protected]>, Zhonggai Li <[email protected]>

blrm_1.0-2.tar.gz
blrm_1.0-2.zip(r-4.7-any)blrm_1.0-2.zip(r-4.6-any)
blrm_1.0-2.tar.gz(r-4.7-any)blrm_1.0-2.tar.gz(r-4.6-any)
blrm_1.0-2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
blrm/json (API)

# Install 'blrm' in R:
install.packages('blrm', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

jagscpp

1.70 score 1 stars 1 scripts 299 downloads 4 exports 42 dependencies

Last updated from:87e8c92758. Checks:4 NOTE, 2 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-develNOTE128
source / vignettesOK159
linux-releaseNOTE111
windows-develNOTE61
windows-releaseNOTE84
wasm-releaseOK89

Exports:blrm_combo_msblrm_combo_ssblrm_mono_msblrm_mono_ss

Dependencies:base64encbootbslibcachemclicodacommonmarkdigestfastmapfontawesomefsgluehtmltoolshttpuvjquerylibjsonlitelaterlatticelifecyclemagrittrmemoisemimemvtnormopenxlsxotelplyrpromisesR6rappdirsRcppreshape2rjagsrlangsassshinysourcetoolsstringistringrvctrswithrxtablezip