Package: AdverseEvents 0.0.5

Z Thompson

AdverseEvents: 'shiny' Application for Adverse Event Analysis of 'OnCore' Data

An application for analysis of Adverse Events, as described in Chen, et al., (2023) <doi:10.3390/cancers15092521>. The required data for the application includes demographics, follow up, adverse event, drug administration and optional tumor measurement data. The app can produce swimmers plots of adverse events, Kaplan-Meier plots and Cox Proportional Hazards model results for the association of adverse event biomarkers and overall survival and progression free survival. The adverse event biomarkers include occurrence of grade 3, low grade (1-2), and treatment related adverse events. Plots and tables of results are downloadable.

Authors:Z Thompson [aut, cre], A Obermayer [aut], DT Chen [aut]

AdverseEvents_0.0.5.tar.gz
AdverseEvents_0.0.5.zip(r-4.7-any)AdverseEvents_0.0.5.zip(r-4.6-any)AdverseEvents_0.0.5.zip(r-4.5-any)
AdverseEvents_0.0.5.tgz(r-4.6-any)AdverseEvents_0.0.5.tgz(r-4.5-any)
AdverseEvents_0.0.5.tar.gz(r-4.7-any)AdverseEvents_0.0.5.tar.gz(r-4.6-any)
AdverseEvents_0.0.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
AdverseEvents/json (API)

# Install 'AdverseEvents' in R:

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

Bug tracker:https://github.com/dungtsa/adverseevents/issues

On CRAN:

3.70 score 1 stars 346 downloads 2 exports 179 dependencies

Last updated from:79e350e621. Checks:9 OK. Indexed: yes.

Target	Result	Time	Files	Syslog
linux-devel	OK	200
source / vignettes	OK	235
linux-release	OK	221
macos-release	OK	189
macos-oldrel	OK	219
windows-devel	OK	131
windows-release	OK	113
windows-oldrel	OK	114
wasm-release	OK	152

Exports:resp_code_transform runAEapp

Dependencies:abind askpass backports base64enc bit bit64 blob boot broom bslib cachem callr car carData cellranger cli clipr colorspace commonmark conflicted corrplot cowplot cpp11 crayon crosstalk curl data.table DBI dbplyr Deriv digest doBy dplyr DT dtplyr evaluate exactRankTests farver fastmap fontawesome forcats forecast foreign Formula fracdiff fs gargle generics ggnewscale ggplot2 ggpubr ggrepel ggsci ggsignif ggtext glue googledrive googlesheets4 gridExtra gridtext gtable haven highr hms htmltools htmlwidgets httpuv httr ids isoband janitor jpeg jquerylib jsonlite knitr labeling later lattice lazyeval lifecycle litedown lme4 lmtest lubridate magrittr markdown MASS Matrix MatrixModels maxstat memoise mgcv mime minqa modelr mvtnorm nlme nloptr nnet numDeriv openssl otel pbkrtest pillar pkgconfig png polynom prettyunits processx progress promises ps purrr quantreg R.methodsS3 R.oo R.utils R6 ragg rappdirs rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack readr readxl reformulas rematch rematch2 repr reprex rio rlang rmarkdown rstatix rstudioapi rvest S7 sass scales selectr shiny shinycssloaders shinyjs shinythemes skimr snakecase sourcetools SparseM stringi stringr survival survminer sys systemfonts textshaping tibble tidyr tidyselect tidyverse timechange timeDate tinytex tzdb urca utf8 uuid vctrs viridisLite vroom withr writexl xfun xml2 xtable yaml zoo

Introduction | Running the app | RECIST data | Key Aspects of RECIST: | Importance of RECIST: | Data tab | AE Plots and Measures | AE measures | Survival Analysis | Response and Correlation tab | Tables and reports

Rendered fromAdverseEvents.Rmdusingknitr::rmarkdown

Last update: 2024-11-05
Started: 2024-11-05

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Convert RECIST response code	resp_code_transform
Run Adverse Events App	runAEapp

Usage by other packages (reverse dependencies)