Package: blrm 1.0-2

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
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blrm.pdf |blrm.html✨
blrm/json (API)

# Install 'blrm' in R:
install.packages('blrm', repos = c('https://minniesun.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC
  • c++– GNU Standard C++ Library v3

On CRAN:

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

1.70 score 1 stars 1 scripts 218 downloads 4 exports 42 dependencies

Last updated 2 years agofrom:87e8c92758. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 30 2024
R-4.5-winNOTEOct 30 2024
R-4.5-linuxNOTEOct 30 2024
R-4.4-winNOTEOct 30 2024
R-4.4-macNOTEOct 30 2024
R-4.3-winNOTEOct 30 2024
R-4.3-macNOTEOct 30 2024

Exports:blrm_combo_msblrm_combo_ssblrm_mono_msblrm_mono_ss

Dependencies:base64encbootbslibcachemclicodacommonmarkcrayondigestfastmapfontawesomefsgluehtmltoolshttpuvjquerylibjsonlitelaterlatticelifecyclemagrittrmemoisemimemvtnormopenxlsxplyrpromisesR6rappdirsRcppreshape2rjagsrlangsassshinysourcetoolsstringistringrvctrswithrxtablezip