Package: ICcalib 1.0.8

ICcalib: Cox Model with Interval-Censored Starting Time of a Covariate

Calibration and risk-set calibration methods for fitting Cox proportional hazard model when a binary covariate is measured intermittently. Methods include functions to fit calibration models from interval-censored data and modified partial likelihood for the proportional hazard model, Nevo et al. (2018+) <arxiv:1801.01529>.

Authors:Daniel Nevo

ICcalib_1.0.8.tar.gz
ICcalib_1.0.8.zip(r-4.7-x86_64)ICcalib_1.0.8.zip(r-4.7-arm64)ICcalib_1.0.8.zip(r-4.6-x86_64)ICcalib_1.0.8.zip(r-4.6-arm64)ICcalib_1.0.8.zip(r-4.5-x86_64)
ICcalib_1.0.8.tgz(r-4.6-x86_64)ICcalib_1.0.8.tgz(r-4.6-arm64)ICcalib_1.0.8.tgz(r-4.5-x86_64)ICcalib_1.0.8.tgz(r-4.5-arm64)
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ICcalib_1.0.8.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
ICcalib/json (API)

# Install 'ICcalib' in R:

install.packages('ICcalib', repos = c('https://daniel258.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/daniel258/iccalib/issues

Uses libs:

c++– GNU Standard C++ Library v3

On CRAN:

cpp

2.78 score 12 scripts 313 downloads 18 exports 31 dependencies

Last updated from:d079eefc73. Checks:15 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	165
linux-devel-x86_64	OK	162
source / vignettes	OK	226
linux-release-arm64	OK	163
linux-release-x86_64	OK	166
macos-release-arm64	OK	152
macos-release-x86_64	OK	311
macos-oldrel-arm64	OK	115
macos-oldrel-x86_64	OK	301
windows-devel-arm64	OK	501
windows-devel-x86_64	OK	217
windows-release-arm64	OK	502
windows-release-x86_64	OK	196
windows-oldrel-x86_64	OK	237
wasm-release	OK	150

Exports:CalcCoxCalibP CalcCoxCalibRSIntsP CalcNpmleCalibP CalcNpmleRSP CalcVarNpmle CalcVarNpmleRS CalcVarParam CalcVarParamRSInts CalcVarThetaWeib CalcVarThetaWeibRS CalcWeibullCalibP CalcWeibullRSP FitCalibCox FitCalibCoxRS FitCalibCoxRSInts FitCalibNpmle FitCalibWeibull FitCalibWeibullRS

Dependencies:cli coda codetools expm fitdistrplus foreach generics glue icenReg ICsurv iterators lattice lifecycle magrittr MASS Matrix matrixcalc MLEcens msm mvtnorm numDeriv pillar pkgconfig Rcpp RcppArmadillo RcppEigen rlang survival tibble utf8 vctrs

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Calculating the probabilities of positive binary exposure status at a given time point using a proportional hazards calibration model	CalcCoxCalibP
Calculating the probabilities of positive binary exposure status at a given time point using proportional hazards grouped risk-set calibration models	CalcCoxCalibRSIntsP
Calculating the probabilities of positive binary exposure status at a given time point using a nonparametric calibration model	CalcNpmleCalibP
Calculating the probabilities of positive binary exposure status at a given time point using a nonparametric risk-set calibration models	CalcNpmleRSP
Variance estimation for the main proportional hazards model	CalcVarNpmle CalcVarNpmleRS CalcVarParam CalcVarParamRSInts CalcVarThetaWeib CalcVarThetaWeibRS
Calculating the probabilities of positive binary exposure status at a given time point using a Weibull calibration model	CalcWeibullCalibP
Calculating the probabilities of positive binary exposure status at a given time point using risk-set Weibull calibration models	CalcWeibullRSP
Fitting Proportional Hazards Calibration Models with Covariates	FitCalibCox
Fitting Proportional Hazards Risk-Set Calibration Models with Covariates	FitCalibCoxRS FitCalibCoxRSInts
Fitting Nonparametric Calibration Models	FitCalibNpmle
Fitting Weibull Calibration Models	FitCalibWeibull
Fitting Weibull Risk-Set Calibration Models	FitCalibWeibullRS