rwicc (“Regression With Interval-Censored Covariates”)is an R software package implementing an analysis for a regression modelinvolving an interval-censored covariate, as described in “Regressionwith Interval-Censored Covariates: Application to Cross-SectionalIncidence Estimation” by Morrison, Laeyendecker, and Brookmeyer(Biometrics, 2021):https://onlinelibrary.wiley.com/doi/10.1111/biom.13472.
This analysis uses a joint model for the distributions of the outcomeof interest and the interval-censored covariate, which is treated as alatent variable; the model parameters are estimated by maximumlikelihood using an EM algorithm. The submodel used for the distributionof the interval-censored covariate is somewhat specific to theapplication of interest (estimation of the mean duration of abiomarker-defined window period for cross-sectional incidenceestimation), so this package may not be immediately applicable to otherproblems. We are publishing it with the goal of making the results inour paper easier to reproduce and with the hope that others might adaptpieces of this code for their own applications. Please feel free tocontact uswith any questions about the code or the paper!
You can install the current released version fromCRAN with:
install.packages("rwicc")You can install the development version fromGitHub with:
install.packages("devtools")devtools::install_github("d-morrison/rwicc")See:https://d-morrison.github.io/rwicc/articles/how-to-use-rwicc.html
Please note that the rwicc project is released with aContributorCode of Conduct. By contributing to this project, you agree to abideby its terms.