Package: JPSurv 3.0.20

JPSurv: Joinpoint Model for Relative and Cause-Specific Survival

Contains functions for fitting a joinpoint proportional hazards model to relative survival or cause-specific survival data, including estimates of joinpoint years at which survival trends have changed and trend measures in the hazard and cumulative survival scale. See Yu et al.(2009) <doi:10.1111/j.1467-985X.2009.00580.x>.

Authors:Angela Mariotto [aut], Theresa Devasia [aut], Yongwu Shao [aut], Jun Luo [ctb], Daniel Miller [ctb], Fanni Zhang [aut], Bill Wheeler [cre]

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JPSurv/json (API)

# Install 'JPSurv' in R:

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

Datasets:

breast.example - Data for examples
fit1 - Fitted joinpoint object and subset string
fit2 - Fitted joinpoint object and subset string
fit3 - Fitted joinpoint object and subset string
subsetStr1 - Fitted joinpoint object and subset string
subsetStr2 - Fitted joinpoint object and subset string
subsetStr3 - Fitted joinpoint object and subset string

On CRAN:

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

1.30 score 2 stars 1 scripts 594 downloads 17 exports 19 dependencies

Last updated from:10049edffe. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	136
source / vignettes	OK	196
linux-release-x86_64	OK	124
macos-release-arm64	OK	116
macos-oldrel-arm64	OK	96
windows-devel	OK	98
windows-release	OK	123
windows-oldrel	OK	93
wasm-release	OK	101

Exports:aapc aapc.multiints dictionary.overview download.data input.valid joinpoint joinpoint.choose.cutpoint joinpoint.cond joinpoint.conditional joinpoint.relaxProp joinpoint.seerdata jp.plot.cond.year jp.plot.death jp.plot.surv Plot.dying.year.annotate Plot.surv.int.multiyears Plot.surv.year.annotate

Dependencies:cli cpp11 farver ggplot2 ggrepel glue gtable isoband labeling lifecycle R6 RColorBrewer Rcpp rlang S7 scales vctrs viridisLite withr

Help page	Topics
Joinpoint Model for Relative and Cause-Specific Survival	JPSurv-package JPSurv
Trend summary measures for joinpoint relative survival model	aapc
Trend summary measures for multiple selected intervals	aapc.multiints
Data for examples	breast.example
SEERStat Dictionary Overview	dictionary.overview
Combine inputs and outputs	download.data
Fitted joinpoint object and subset string	fit1 subsetStr1
Fitted joinpoint object and subset string	fit2 subsetStr2
Fitted joinpoint object and subset string	fit3 subsetStr3
Input data validation	input.valid
Fitting a join point relative survival model	joinpoint
Choose cutpoint from joinpoint.relaxProp results	joinpoint.choose.cutpoint
Fitting a join point conditional relative survival model	joinpoint.cond
Fitting a join point conditional relative survival model from the unconditional model	joinpoint.conditional
Relaxing the proportionality assumption	joinpoint.relaxProp
Read in and format SEER*Stat data	joinpoint.seerdata
Plot of conditional survival versus year at diagnosis	jp.plot.cond.year
Plot of the annual probability of dying	jp.plot.death
Plot of conditional survival versus interval	jp.plot.surv
Figure - Percent Change in the Annual Probability of Dying of Cancer by Diagnosis Year	Plot.dying.year.annotate
Figure - Cumulative Survival by Interval	Plot.surv.int.multiyears
Figure - Average Change in Cumulative Survival by Diagnosis Year	Plot.surv.year.annotate

Package: JPSurv 3.0.20

JPSurv: Joinpoint Model for Relative and Cause-Specific Survival

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