Package: tidycmprsk 1.1.0.9000

Daniel D. Sjoberg

tidycmprsk: Competing Risks Estimation

Provides an intuitive interface for working with the competing risk endpoints. The package wraps the 'cmprsk' package, and exports functions for univariate cumulative incidence estimates and competing risk regression. Methods follow those introduced in Fine and Gray (1999) <doi:10.1002/sim.7501>.

Authors:Daniel D. Sjoberg [aut, cre, cph], Teng Fei [aut]

tidycmprsk_1.1.0.9000.tar.gz
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tidycmprsk.pdf |tidycmprsk.html✨
tidycmprsk/json (API)
NEWS

# Install 'tidycmprsk' in R:

install.packages('tidycmprsk', repos = c('https://mskcc-epi-bio.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mskcc-epi-bio/tidycmprsk/issues

Datasets:

trial - Results from a simulated study of two chemotherapy agents

On CRAN:

competing-risks

15 exports 21 stars 2.62 score 77 dependencies 1 dependents 104 scripts 4.6k downloads

Last updated 1 months agofrom:d9acd3084a. Checks:OK: 7. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Sep 16 2024
R-4.5-win	OK	Sep 16 2024
R-4.5-linux	OK	Sep 16 2024
R-4.4-win	OK	Sep 16 2024
R-4.4-mac	OK	Sep 16 2024
R-4.3-win	OK	Sep 16 2024
R-4.3-mac	OK	Sep 16 2024

Exports:%>%add_n add_nevent add_p augment autoplot crr cuminc glance global_pvalue_fun inline_text Surv tbl_cuminc tbl_regression tidy

Dependencies:backports base64enc bigD bitops broom bslib cachem cards cli cmprsk colorspace commonmark cpp11 curl digest dplyr evaluate fansi farver fastmap fontawesome fs generics ggplot2 glue gt gtable gtsummary hardhat highr htmltools htmlwidgets isoband jquerylib jsonlite juicyjuice knitr labeling lattice lifecycle magrittr markdown MASS Matrix memoise mgcv mime munsell nlme pillar pkgconfig purrr R6 rappdirs RColorBrewer Rcpp reactable reactR rlang rmarkdown sass scales stringi stringr survival tibble tidyr tidyselect tinytex utf8 V8 vctrs viridisLite withr xfun xml2 yaml

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Additional Functions for 'tbl_cuminc()'	add_cuminc add_n.tbl_cuminc add_nevent.tbl_cuminc add_p.tbl_cuminc inline_text.tbl_cuminc
Functions for tidycrr objects	base_methods_crr coef.tidycrr model.frame.tidycrr model.matrix.tidycrr terms.tidycrr vcov.tidycrr
Functions for tidycuminc objects	base_methods_cuminc model.frame.tidycuminc model.matrix.tidycuminc
Broom methods for tidycrr objects	augment.tidycrr broom_methods_crr glance.tidycrr tidy.tidycrr
Broom methods for tidy cuminc objects	broom_methods_cuminc glance.tidycuminc tidy.tidycuminc
Competing Risks Regression	crr crr.default crr.formula
Competing Risks Cumulative Incidence	cuminc cuminc.default cuminc.formula
gtsummary methods	global_pvalue_fun.tidycrr gtsummary_s3_methods tbl_regression.tidycrr
Estimate subdistribution functions for crr objects	predict.tidycrr
Tabular Summary of Cumulative Incidence	tbl_cuminc tbl_cuminc.tidycuminc
Results from a simulated study of two chemotherapy agents	trial