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TwoStepCLogit
View on CRAN: Click
here
Download and install TwoStepCLogit package within the R console
Install from CRAN:
install.packages("TwoStepCLogit")
Install from Github:
library("remotes")
install_github("cran/TwoStepCLogit")
Install by package version:
library("remotes")
install_version("TwoStepCLogit", "1.2.6")
Attach the package and use:
library("TwoStepCLogit")
Maintained by
Thierry Duchesne
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.TwoStepCLogit . TwoStepCLogit results . TwoStepCLogit.pdf . TwoStepCLogit_1.2.6.tar.gz . TwoStepCLogit_1.2.6.zip . TwoStepCLogit_1.2.6.zip . TwoStepCLogit_1.2.6.zip . TwoStepCLogit_1.2.6.tgz . TwoStepCLogit_1.2.6.tgz . TwoStepCLogit_1.2.6.tgz . TwoStepCLogit_1.2.6.tgz . TwoStepCLogit archive . https://CRAN.R-project.org/package=TwoStepCLogit .
First Published: 2011-02-17
Latest Update: 2016-03-21
Description:
Conditional logistic regression with longitudinal follow up and individual-level random coefficients: A stable and efficient two-step estimation method.
How to cite:
Thierry Duchesne (2011). TwoStepCLogit: Conditional Logistic Regression: A Two-Step Estimation Method. R package version 1.2.6, https://cran.r-project.org/web/packages/TwoStepCLogit. Accessed 05 May. 2025.
Previous versions and publish date:
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Other R packages that TwoStepCLogit depends,
imports, suggests or enhances
Complete documentation for TwoStepCLogit
Functions, R codes and Examples using
the TwoStepCLogit R package
Some associated functions: Ts.estim . TwoStepCLogit-package . bison . ddim .
Some associated R codes: Ts.estim.R . TwoStepCLogit.R . ddim.R . internal.R . Full TwoStepCLogit package functions and examples
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