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logbin  

Relative Risk Regression Using the Log-Binomial Model
View on CRAN: Click here


Download and install logbin package within the R console
Install from CRAN:
install.packages("logbin")

Install from Github:
library("remotes")
install_github("cran/logbin")

Install by package version:
library("remotes")
install_version("logbin", "2.0.5")



Attach the package and use:
library("logbin")
Maintained by
Mark W. Donoghoe
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-10-16
Latest Update: 2021-08-09
Description:
Methods for fitting log-link GLMs and GAMs to binomial data, including EM-type algorithms with more stable convergence properties than standard methods.
How to cite:
Mark W. Donoghoe (2014). logbin: Relative Risk Regression Using the Log-Binomial Model. R package version 2.0.5, https://cran.r-project.org/web/packages/logbin. Accessed 03 Dec. 2024.
Previous versions and publish date:
1.0 (2014-10-16 07:58), 1.2 (2015-05-12 09:16), 2.0.1 (2016-07-19 02:37), 2.0.2 (2017-03-07 23:51), 2.0.3 (2017-05-05 05:15), 2.0.4 (2018-08-31 10:08), 2.0 (2016-07-18 13:36)
Other packages that cited logbin R package
View logbin citation profile
Other R packages that logbin depends, imports, suggests or enhances
Complete documentation for logbin
Functions, R codes and Examples using the logbin R package
Some associated functions: B.Iso . anova.logbin . confint.logbin . contr.isotonic.rev . interpret.logbin.smooth . logbin-package . logbin.control . logbin . logbin.smooth . nplbin . plot.logbin.smooth . predict.logbin . predict.logbin.smooth . summary.logbin . vcov.logbin . 
Some associated R codes: Full logbin package functions and examples
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