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.tar.gz(r-4.5-noble)intccr_3.0.4.tar.gz(r-4.4-noble)
intccr_3.0.4.tgz(r-4.4-emscripten)intccr_3.0.4.tgz(r-4.3-emscripten)
intccr.pdf |intccr.html✨
intccr/json (API)

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

Peer review:

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

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

2.57 score 1 stars 37 scripts 364 downloads 7 exports 10 dependencies

Last updated 3 years agofrom:252644c0d3. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 21 2024
R-4.5-linuxNOTEDec 21 2024

Exports:ciregicciregic_aipwciregic_ltdataprepdataprep_ltSurv2waldtest

Dependencies:alabamacodetoolsdoParallelforeachiteratorsMASSnumDerivRcppRcppArmadillosplines2

R package: intccr

Rendered frompark2019intccr.pdf.asisusingR.rsp::asison Dec 21 2024.

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

Readme and manuals

Help Manual

Help pageTopics
Derivative of B-splinebs.derivs
B-spline Sieve Maximum Likelihood Estimationbssmle
B-spline Sieve Maximum Likelihood Estimation for Interval-Censored Competing Risks Data and Missing Cause of Failurebssmle_aipw
Least-Squares Estimator of the Information Matrixbssmle_lse
Least-Squares Estimator of the Information Matrixbssmle_lse_lt
B-spline Sieve Maximum Likelihood Estimation for Left-Truncated and Interval-Censored Competing Risks Databssmle_lt
Bootstrap varince-covariance estimationbssmle_se
Bootstrap varince-covariance estimation for interval-censored competing risks data and missing cause of failurebssmle_se_aipw
Competing Risks Regression with Interval-Censored Dataciregic
Competing Risks Regression with Interval-Censored Data and Missing Cause of Failureciregic_aipw
Competing Risks Regression with Left-truncated and Interval-Censored Dataciregic_lt
Data manipulationdataprep
Data preparationdataprep_lt
Derivative of B-splinedbs
Output of 'ciregic'fit
Output of 'ciregic_aipw'fit_aipw
Output of 'ciregic_lt'fit_lt
Simulated interval-censored competing risks data - long formatlongdata
Simulated left-truncated and interval-censored competing risks data - long formatlongdata_lt
Initial values for the sieve maximum likelihood estimationnaive_b
Covariate-Specific Cumulative Incidence Predictionpredict.ciregic
Covariate-Specific Cumulative Incidence Predictionpredict.ciregic_aipw
Covariate-Specific Cumulative Incidence Predictionpredict.ciregic_lt
Prediction of derivative of B-splinepredict.dbs
Artificial HIV datasetpseudo.HIV.long
Simulated interval-censored competing risks data with 2 covariates - wide formatsimdata
Simulated interval censored data with 2 covariates in the presence of 50\% of missing cause of failure - wide formatsimdata_aipw
Simulated left-truncated and interval-censored competing risks data with 2 covariates - wide formatsimdata_lt
Summary of 'ciregic'summary.ciregic
Summary of 'ciregic_aipw'summary.ciregic_aipw
Summary of 'ciregic_lt'summary.ciregic_lt
Creating data frameSurv2
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