GLRT P-Values in Generalized Linear Models


[Up] [Top]

Documentation for package ‘glmglrt’ version 0.1.0

Help Pages

df_for_wald Gets the degree of freedom for Wald tests involving the model
df_for_wald.default Gets the degree of freedom for Wald tests involving the model
df_for_wald.glm Gets the degree of freedom for Wald tests involving the model
fixcoef Generic function to get fixed effects of a model
fixcoef.default Generic function to get fixed effects of a model
fixcoef.glmerMod Generic function to get fixed effects of a model
fixcoef.lme Generic function to get fixed effects of a model
fixcoef.lmerMod Generic function to get fixed effects of a model
fixcoef.lmerModLmerTest Generic function to get fixed effects of a model
fixcoef.mlm Generic function to get fixed effects of a model
fixcoef.multinom Generic function to get fixed effects of a model
glmglrt glmglrt: GLRT P-Values in Generalized Linear Models
override_summary Overrides the Generalized Linear Models summary methods
print.summary.glmglrt Prints the summary generated by 'summarylr'
p_value.glm Computing p-values of hypothesis tests on coefficients of Generalized Linear Models
p_value_contrast Hypothesis tests on contrasts
p_value_contrast.default Hypothesis tests on contrasts
p_value_contrast.glm Hypothesis tests on contrasts
summarylr Summarizes a glm, adding a column of GLRT or Rao score P-values
vcov_fixcoef Gets the variance-covariance matrix of fixed effects of a fitted model
vcov_fixcoef.default Gets the variance-covariance matrix of fixed effects of a fitted model
vcov_fixcoef.survreg Gets the variance-covariance matrix of fixed effects of a fitted model