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TwoStepCLogit  

Conditional Logistic Regression: A Two-Step Estimation Method
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", "1.2.5")



Attach the package and use:
library("TwoStepCLogit")
Maintained by
Thierry Duchesne
[Scholar Profile | Author Map]
All associated links for this package
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 1.2.5, https://cran.r-project.org/web/packages/TwoStepCLogit. Accessed 03 Dec. 2024.
Previous versions and publish date:
1.0 (2011-02-17 14:06), 1.2.1 (2012-09-18 20:41), 1.2.2 (2013-06-11 23:47), 1.2.3 (2014-10-25 01:18), 1.2.4 (2015-12-07 22:56), 1.2 (2012-07-18 17:46)
Other packages that cited TwoStepCLogit R package
View TwoStepCLogit citation profile
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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