Package: icenReg 2.0.16

icenReg: Regression Models for Interval Censored Data

Regression models for interval censored data. Currently supports Cox-PH, proportional odds, and accelerated failure time models. Allows for semi and fully parametric models (parametric only for accelerated failure time models) and Bayesian parametric models. Includes functions for easy visual diagnostics of model fits and imputation of censored data.

Authors:Clifford Anderson-Bergman

icenReg_2.0.16.tar.gz
icenReg_2.0.16.zip(r-4.5)icenReg_2.0.16.zip(r-4.4)icenReg_2.0.16.zip(r-4.3)
icenReg_2.0.16.tgz(r-4.4-x86_64)icenReg_2.0.16.tgz(r-4.4-arm64)icenReg_2.0.16.tgz(r-4.3-x86_64)icenReg_2.0.16.tgz(r-4.3-arm64)
icenReg_2.0.16.tar.gz(r-4.5-noble)icenReg_2.0.16.tar.gz(r-4.4-noble)
icenReg_2.0.16.tgz(r-4.4-emscripten)icenReg_2.0.16.tgz(r-4.3-emscripten)
icenReg.pdf |icenReg.html✨
icenReg/json (API)
NEWS

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

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • IR_diabetes - Interval censored time from diabetes onset to diabetic nephronpathy
  • miceData - Lung Tumor Interval Censored Data from Hoel and Walburg 1972

On CRAN:

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

22 exports 1 stars 2.92 score 10 dependencies 10 dependents 6 mentions 114 scripts 1.3k downloads

Last updated 8 months agofrom:26fadac37c. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 10 2024
R-4.5-win-x86_64OKSep 10 2024
R-4.5-linux-x86_64OKSep 10 2024
R-4.4-win-x86_64OKSep 10 2024
R-4.4-mac-x86_64OKSep 10 2024
R-4.4-mac-aarch64OKSep 10 2024
R-4.3-win-x86_64OKSep 10 2024
R-4.3-mac-x86_64OKSep 10 2024
R-4.3-mac-aarch64OKSep 10 2024

Exports:bayesControlscs2icdiag_baselinediag_covargetFitEstsgetSCurvesic_bayesic_npic_paric_sampleic_spimputeCensir_clustBootlines.icenReg_fitmakeCtrls_icspplot.icenReg_fitsampleSurvsimCS_weibsimDC_weibsimIC_clustersimIC_weibsurvCIs

Dependencies:codacodetoolsforeachiteratorslatticeMatrixMLEcensRcppRcppEigensurvival

Using icenReg

Rendered fromicenReg.Rnwusingutils::Sweaveon Sep 10 2024.

Last update: 2020-10-04
Started: 2015-12-10

Readme and manuals

Help Manual

Help pageTopics
Control parameters for ic_bayesbayesControls
Convert current status data into interval censored formatcs2ic
Compare parametric baseline distributions with semi-parametric baselinediag_baseline
Evaluate covariate effect for regression modeldiag_covar
Get Survival Curve Estimates from icenReg ModelgetFitEsts
Get Estimated Survival Curves from Semi-parametric Model for Interval Censored DatagetSCurves
Bayesian Regression Models for Interval Censored Dataic_bayes
Non-Parametric Estimator for Interval Censored Dataic_np
Parametric Regression Models for Interval Censored Dataic_par
Draw samples from an icenReg modelic_sample
Semi-Parametric models for Interval Censored Dataic_sp
Impute Interval Censored Data from icenReg Regression ModelimputeCens
Updates the covariance using cluster bootstrapir_clustBoot
Interval censored time from diabetes onset to diabetic nephronpathyIR_diabetes
Plotting for icenReg Fitslines.icenReg_fit
Control Parameters for ic_spmakeCtrls_icsp
Lung Tumor Interval Censored Data from Hoel and Walburg 1972miceData
Plotting for icenReg Fitsplot.icenReg_fit
Predictions from icenReg Regression Modelpredict.icenReg_fit
Samples fitted survival functionsampleSurv
Simulate Current Status DatasimCS_weib
Simulate Doubly Censored DatasimDC_weib
Simulates data with multiple observations per subjectsimIC_cluster
Simulates interval censored data from regression model with a Weibull baselinesimIC_weib
Confidence/Credible intervals for survival curvessurvCIs