rwicc: rwicc: Regression with Interval-Censored Covariates
In d-morrison/rwicc: Regression with Interval-Censored Covariates
rwicc R Documentation
rwicc: Regression with Interval-Censored Covariates
Description
The rwicc package implements a regression model with an
interval-censored covariate using an EM algorithm, as described in Morrison et al (2021); \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1111/biom.13472")}.
rwicc functions
The main rwicc functions are:
-
simulate_interval_censoring
-
fit_joint_model
References
Morrison, Laeyendecker, and Brookmeyer (2021).
"Regression with interval-censored covariates: Application to cross-sectional incidence estimation".
Biometrics. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1111/biom.13472")}.
d-morrison/rwicc documentation built on Feb. 8, 2024, 5:02 a.m.
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| rwicc | R Documentation |
rwicc: Regression with Interval-Censored Covariates
Description
The rwicc package implements a regression model with an
interval-censored covariate using an EM algorithm, as described in Morrison et al (2021); \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1111/biom.13472")}.
rwicc functions
The main rwicc functions are:
-
simulate_interval_censoring -
fit_joint_model
References
Morrison, Laeyendecker, and Brookmeyer (2021). "Regression with interval-censored covariates: Application to cross-sectional incidence estimation". Biometrics. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1111/biom.13472")}.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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