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intccr
View on CRAN: Click
here
Download and install intccr package within the R console
Install from CRAN:
install.packages("intccr")
Install from Github:
library("remotes")
install_github("cran/intccr") Install by package version:
library("remotes")
install_version("intccr", "3.0.4") Attach the package and use:
library("intccr")
Maintained by
Jun Park
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-08-30
Latest Update: 2022-05-10
Description:
Semiparametric regression models on the cumulative incidence function for interval-censored competing risks data as described in Bakoyannis, Yu, & Yiannoutsos (2017) /doi{10.1002/sim.7350} and the models with missing event types as described in Park, Bakoyannis, Zhang, & Yiannoutsos (2021) \doi{10.1093/biostatistics/kxaa052}. The proportional subdistribution hazards model (Fine-Gray model), the proportional odds model, and other models that belong to the class of semiparametric generalized odds rate transformation models.
How to cite:
Jun Park (2017). intccr: Semiparametric Competing Risks Regression under Interval Censoring. R package version 3.0.4, https://cran.r-project.org/web/packages/intccr. Accessed 25 Jun. 2026.
Previous versions and publish date:
0.1.0 (2017-08-30 10:50), 0.2.0 (2017-09-12 22:39), 1.0.0 (2018-03-30 20:25), 1.0.1 (2018-04-25 21:51), 1.0.2 (2018-05-17 20:15), 1.0.3 (2018-08-30 19:20), 1.0.4 (2018-11-30 00:00), 1.0.5 (2019-01-16 19:00), 1.1.0 (2019-01-24 22:20), 1.1.1 (2019-02-20 07:10), 1.1.2 (2019-04-29 21:10), 1.1.3 (2019-05-06 23:50), 1.1.4 (2019-05-09 22:10), 2.0.0 (2019-11-04 19:20), 3.0.0 (2019-12-09 20:20), 3.0.1 (2020-01-21 07:30), 3.0.2 (2020-02-20 07:00), 3.0.3 (2021-06-26 01:00)
Other packages that cited intccr R package
View intccr citation profile
Other R packages that intccr depends,
imports, suggests or enhances
Complete documentation for intccr
Functions, R codes and Examples using
the intccr R package
Some associated functions: Surv2 . bs.derivs . bssmle . bssmle_aipw . bssmle_lse . bssmle_lse_lt . bssmle_lt . bssmle_se . bssmle_se_aipw . ciregic . ciregic_aipw . ciregic_lt . dataprep . dataprep_lt . dbs . fit . fit_aipw . fit_lt . longdata . longdata_lt . naive_b . predict.ciregic . predict.ciregic_aipw . predict.ciregic_lt . predict.dbs . pseudo.HIV.long . simdata . simdata_aipw . simdata_lt . summary.ciregic . summary.ciregic_aipw . summary.ciregic_lt . vcov.ciregic . vcov.ciregic_aipw . vcov.ciregic_lt . vcov.summary.ciregic . vcov.summary.ciregic_aipw . vcov.summary.ciregic_lt . waldtest .
Some associated R codes: Surv2.R . bsderivs.R . bssmle.R . bssmle_aipw.R . bssmle_lse.R . bssmle_lse_lt.R . bssmle_lt.R . bssmle_se.R . bssmle_se_aipw.R . ciregic.R . ciregic_aipw.R . ciregic_lt.R . dataprep.R . dataprep_lt.R . longdata.R . longdata_lt.R . naive_b.R . output.R . output_aipw.R . output_lt.R . pseudoHIVlong.R . simdata.R . simdata_aipw.R . simdata_lt.R . waldtest.R . Full intccr package functions and examples
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