Package: impower133 1.0.0

Lu Huang

impower133: Reproduce IMpower133 Clinical Trial Results

Provides functions to simulate baseline characteristics, reconstruct overall survival data from published Kaplan-Meier curves, and generate publication-ready tables and forest plots reproducing the IMpower133 clinical trial results (Horn et al., 2018, <doi:10.1056/NEJMoa1809064>). The IPD reconstruction method is based on Liu et al. (2021, <doi:10.1186/s12874-021-01285-7>).

Authors:Lu Huang [aut, cre], Wenkai Nie [aut], Qingyang Jiang [aut], Qinxin Chen [aut]

impower133_1.0.0.tar.gz
impower133_1.0.0.zip(r-4.7)impower133_1.0.0.zip(r-4.6)impower133_1.0.0.zip(r-4.5)
impower133_1.0.0.tgz(r-4.6-any)impower133_1.0.0.tgz(r-4.5-any)
impower133_1.0.0.tar.gz(r-4.7-any)impower133_1.0.0.tar.gz(r-4.6-any)
impower133_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
impower133/json (API)

# Install 'impower133' in R:

install.packages('impower133', repos = c('https://fanfande131.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/fanfande131/impower133/issues

On CRAN:

2.70 score 10 exports 125 dependencies

Last updated from:b25ec78614. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	228
source / vignettes	OK	246
linux-release-x86_64	OK	156
macos-release-arm64	OK	144
macos-oldrel-arm64	OK	161
windows-devel	OK	80
windows-release	OK	78
windows-oldrel	OK	180
wasm-release	OK	134

Exports:%>%analyze_survival make_table1 make_table2 make_table3 plot_figure2c plot_survival reconstruct_survival rtriang simulate_impower133

Dependencies:abind backports base64enc bigD bitops bmp boot broom bslib cachem car carData checkmate cli colorspace commonmark corrplot cowplot cpp11 curl Deriv digest doBy dplyr evaluate exactRankTests farver fastmap fontawesome forecast forestplot Formula fracdiff fs generics ggplot2 ggpubr ggrepel ggsci ggsignif ggtext glue gridExtra gridtext gt gtable highr htmltools htmlwidgets IPDfromKM isoband jpeg jquerylib jsonlite juicyjuice knitr labeling lattice lifecycle litedown lme4 lmtest magrittr markdown MASS Matrix MatrixModels maxstat memoise mgcv microbenchmark mime minqa modelr mvtnorm nlme nloptr nnet numDeriv pbkrtest pillar pkgconfig png polynom purrr quantreg R6 rappdirs rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack reactable reactR readbitmap reformulas rlang rmarkdown rstatix S7 sass scales SparseM stringi stringr survival survminer tibble tidyr tidyselect tiff timeDate tinytex urca utf8 V8 vctrs viridisLite withr xfun xml2 yaml zoo

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Analyze survival data and print key statistics	analyze_survival
Generate Table 1: Baseline characteristics	make_table1
Generate Table 2: Response rate and disease progression	make_table2
Generate Table 3: Adverse events	make_table3
Plot Figure 2C: Subgroup forest plot	plot_figure2c
Plot survival K-M curve	plot_survival
Reconstruct individual patient data from K-M curves	reconstruct_survival
Triangular distribution random number generator	rtriang
Simulate IMpower133 complete ITT population	simulate_impower133