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glmglrt  

GLRT P-Values in Generalized Linear Models
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Download and install glmglrt package within the R console
Install from CRAN:
install.packages("glmglrt")

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

Install by package version:
library("remotes")
install_version("glmglrt", "0.2.2")



Attach the package and use:
library("glmglrt")
Maintained by
André GILLIBERT
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-03-19
Latest Update: 2020-08-07
Description:
Provides functions to compute Generalized Likelihood Ratio Tests (GLRT) also known as Likelihood Ratio Tests (LRT) and Rao's score tests of simple and complex contrasts of Generalized Linear Models (GLMs). It provides the same interface as summary.glm(), adding GLRT P-values, less biased than Wald's P-values and consistent with profile-likelihood confidence interval generated by confint(). See Wilks (1938) for the LRT chi-square approximation. See Rao (1948) for Rao's score test. See Wald (1943) for Wald's test.
How to cite:
André GILLIBERT (2020). glmglrt: GLRT P-Values in Generalized Linear Models. R package version 0.2.2, https://cran.r-project.org/web/packages/glmglrt. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.0 (2020-03-19 18:20)
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Complete documentation for glmglrt
Functions, R codes and Examples using the glmglrt R package
Some associated functions: confint_contrast . df_for_wald . estimate_confint_contrast . estimate_contrast . fixcoef . glmglrt . override_summary . p_value.glm . p_value_contrast . print.summary.glmglrt . ps_newtonRaphson . summarylr . vcov_fixcoef . 
Some associated R codes: main.R .  Full glmglrt package functions and examples
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