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glmglrt (version 0.2.2)

GLRT P-Values in Generalized Linear Models

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.

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Version

Install

install.packages('glmglrt')

Monthly Downloads

284

Version

0.2.2

License

GPL-2

Maintainer

Andr<c3><a9> GILLIBERT

Last Published

August 7th, 2020

Functions in glmglrt (0.2.2)

override_summary

Overrides the Generalized Linear Models summary methods
print.summary.glmglrt

Prints the summary generated by summarylr
p_value_contrast

Hypothesis tests on contrasts
estimate_contrast

Point estimates of contrasts
estimate_confint_contrast

Computes point estimates, confidence intervals and P-values of a contrast
df_for_wald

Gets the degree of freedom for Wald tests involving the model
confint_contrast

Confidence interval estimation of contrasts
summarylr

Summarizes a glm, adding a column of GLRT or Rao score P-values
ps_newtonRaphson

Newton-Raphson algorithm when parameters may not be estimable outside of their parameter space
fixcoef

Generic function to get fixed effects of a model
glmglrt

glmglrt: GLRT P-Values in Generalized Linear Models
p_value.glm

Computing p-values of hypothesis tests on coefficients of Generalized Linear Models and other
vcov_fixcoef

Gets the variance-covariance matrix of fixed effects of a fitted model