This package is considered a duplicate. The official version of this package is found at:https://luzhangstat.r-universe.dev/phase1PRMD

Package: phase1PRMD 1.0.2

Lu Zhang

phase1PRMD: Personalized Repeated Measurement Design for Phase I Clinical Trials

Implements Bayesian phase I repeated measurement design that accounts for multidimensional toxicity endpoints and longitudinal efficacy measure from multiple treatment cycles. The package provides flags to fit a variety of model-based phase I design, including 1 stage models with or without individualized dose modification, 3-stage models with or without individualized dose modification, etc. Functions are provided to recommend dosage selection based on the data collected in the available patient cohorts and to simulate trial characteristics given design parameters. Yin, Jun, et al. (2017) <doi:10.1002/sim.7134>.

Authors:Lu Zhang, Jun Yin

phase1PRMD_1.0.2.tar.gz
phase1PRMD_1.0.2.tar.gz(r-4.5-noble)phase1PRMD_1.0.2.tar.gz(r-4.4-noble)
phase1PRMD_1.0.2.tgz(r-4.4-emscripten)phase1PRMD_1.0.2.tgz(r-4.3-emscripten)
phase1PRMD.pdf |phase1PRMD.html✨
phase1PRMD/json (API)
NEWS

# Install 'phase1PRMD' in R:

install.packages('phase1PRMD', 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

Datasets:

eff - Efficacy response generation parameters
patlist_sim - A list of patient information
prob - Toxicity probability matrix

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

jags cpp

1.70 score 11 scripts 157 downloads 7 exports 68 dependencies

Last updated 5 years agofrom:3227d3276f. Checks:OK: 2. Indexed: no.

Target	Result	Date
Doc / Vignettes	OK	Dec 11 2024
R-4.5-linux	OK	Dec 11 2024

Exports:eff_suggest eff_summary nTTP_summary nTTP.array patlist.display RunPRMD SimPRMD

Dependencies:arrayhelpers base64enc bslib cachem cli coda colorspace cpp11 digest dplyr evaluate fansi farver fastmap fontawesome fs generics ggplot2 glue gridExtra gtable highr htmltools isoband jquerylib jsonlite kableExtra knitr labeling lattice lifecycle magrittr MASS Matrix memoise mgcv mime munsell nlme pillar pkgconfig plyr R6 rappdirs RColorBrewer Rcpp reshape2 rjags rlang rmarkdown rstudioapi sass scales stringi stringr svglite svUnit systemfonts tibble tidyselect tinytex utf8 vctrs viridisLite withr xfun xml2 yaml

Help page	Topics
Efficacy response generation parameters	eff
Suggest the input 'eff.structure' of function 'SimPRMD' with selected 'eff.sd_tran'	eff_suggest
Compute the summary statistics of efficacy measure with specified parameters.	eff_summary
Generate the mean nTTP score and the probability of observing DLT for all doses and cycles	nTTP_summary
Generate the nTTP dictionary	nTTP.array
A list of patient information	patlist_sim
Display patient records	patlist.display
Plot nTTP and efficacy boxplots of a RunPRMD object	plot.RunPRMD
Plots of a SimPRMD object	plot.SimPRMD
Displays a useful description of a summary.RunPRMD object	print.summary.RunPRMD
Displays a useful description of a summary.SimPRMD object	print.summary.SimPRMD
Toxicity probability matrix	prob
Implement a Multi-Stage Phase I Dose-Finding Design to recommend dosage selection based on the data collected in the available patient cohorts	RunPRMD
Simulation for a Multi-Stage Phase I Dose-Finding Design	SimPRMD
Summary a RunPRMD object	summary.RunPRMD
Summary a SimPRMD object	summary.SimPRMD

Package: phase1PRMD 1.0.2

phase1PRMD: Personalized Repeated Measurement Design for Phase I Clinical Trials

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)