Package: intccr 3.0.4

Jun Park

intccr: Semiparametric Competing Risks Regression under Interval Censoring

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.

Authors:Giorgos Bakoyannis <[email protected]>, Jun Park <[email protected]>

intccr_3.0.4.tar.gz
intccr_3.0.4.zip(r-4.7-any)intccr_3.0.4.zip(r-4.6-any)
intccr_3.0.4.tar.gz(r-4.7-any)intccr_3.0.4.tar.gz(r-4.6-any)
intccr_3.0.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
intccr/json (API)

# Install 'intccr' in R:

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

Datasets:

fit - Output of 'ciregic'
fit_aipw - Output of 'ciregic_aipw'
fit_lt - Output of 'ciregic_lt'
longdata - Simulated interval-censored competing risks data - long format
longdata_lt - Simulated left-truncated and interval-censored competing risks data - long format
pseudo.HIV.long - Artificial HIV dataset
simdata - Simulated interval-censored competing risks data with 2 covariates - wide format
simdata_aipw - Simulated interval censored data with 2 covariates in the presence of 50\% of missing cause of failure - wide format
simdata_lt - Simulated left-truncated and interval-censored competing risks data with 2 covariates - wide format

On CRAN:

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

2.56 score 1 stars 36 scripts 406 downloads 7 exports 10 dependencies

Last updated from:252644c0d3. Checks:4 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel	NOTE	127
source / vignettes	OK	177
linux-release	NOTE	128
windows-devel	NOTE	80
windows-release	NOTE	73
wasm-release	OK	122

Exports:ciregic ciregic_aipw ciregic_lt dataprep dataprep_lt Surv2 waldtest

Dependencies:alabama codetools doParallel foreach iterators MASS numDeriv Rcpp RcppArmadillo splines2

R package: intccr

Semiparametric competing risks regression under interval censoring using the R package intccr

Rendered frompark2019intccr.pdf.asisusingR.rsp::asis

Last update: 2019-11-04
Started: 2019-11-04

Help page	Topics
Derivative of B-spline	bs.derivs
B-spline Sieve Maximum Likelihood Estimation	bssmle
B-spline Sieve Maximum Likelihood Estimation for Interval-Censored Competing Risks Data and Missing Cause of Failure	bssmle_aipw
Least-Squares Estimator of the Information Matrix	bssmle_lse
Least-Squares Estimator of the Information Matrix	bssmle_lse_lt
B-spline Sieve Maximum Likelihood Estimation for Left-Truncated and Interval-Censored Competing Risks Data	bssmle_lt
Bootstrap varince-covariance estimation	bssmle_se
Bootstrap varince-covariance estimation for interval-censored competing risks data and missing cause of failure	bssmle_se_aipw
Competing Risks Regression with Interval-Censored Data	ciregic
Competing Risks Regression with Interval-Censored Data and Missing Cause of Failure	ciregic_aipw
Competing Risks Regression with Left-truncated and Interval-Censored Data	ciregic_lt
Data manipulation	dataprep
Data preparation	dataprep_lt
Derivative of B-spline	dbs
Output of 'ciregic'	fit
Output of 'ciregic_aipw'	fit_aipw
Output of 'ciregic_lt'	fit_lt
Simulated interval-censored competing risks data - long format	longdata
Simulated left-truncated and interval-censored competing risks data - long format	longdata_lt
Initial values for the sieve maximum likelihood estimation	naive_b
Covariate-Specific Cumulative Incidence Prediction	predict.ciregic
Covariate-Specific Cumulative Incidence Prediction	predict.ciregic_aipw
Covariate-Specific Cumulative Incidence Prediction	predict.ciregic_lt
Prediction of derivative of B-spline	predict.dbs
Artificial HIV dataset	pseudo.HIV.long
Simulated interval-censored competing risks data with 2 covariates - wide format	simdata
Simulated interval censored data with 2 covariates in the presence of 50\% of missing cause of failure - wide format	simdata_aipw
Simulated left-truncated and interval-censored competing risks data with 2 covariates - wide format	simdata_lt
Summary of 'ciregic'	summary.ciregic
Summary of 'ciregic_aipw'	summary.ciregic_aipw
Summary of 'ciregic_lt'	summary.ciregic_lt
Creating data frame	Surv2
Variance-covariance matrix of 'ciregic'	vcov.ciregic
Variance-covariance matrix of 'ciregic_aipw'	vcov.ciregic_aipw
Variance-covariance matrix of 'ciregic_lt'	vcov.ciregic_lt
Variance-covariance matrix of 'summary.ciregic'	vcov.summary.ciregic
Variance-covariance matrix of 'summary.ciregic_aipw'	vcov.summary.ciregic_aipw
Variance-covariance matrix of 'summary.ciregic_lt'	vcov.summary.ciregic_lt
Wald test for 'ciregic' and 'ciregic_lt'	waldtest

Package: intccr 3.0.4

intccr: Semiparametric Competing Risks Regression under Interval Censoring

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)