GLRT P-Values in Generalized Linear Models
Confidence interval estimation of contrasts
Gets the degree of freedom for Wald tests involving the model
Computes point estimates, confidence intervals and P-values of a contr...
Point estimates of contrasts
Generic function to get fixed effects of a model
glmglrt: GLRT P-Values in Generalized Linear Models
Overrides the Generalized Linear Models summary methods
Computing p-values of hypothesis tests on coefficients of Generalized ...
Hypothesis tests on contrasts
Prints the summary generated by summarylr
Newton-Raphson algorithm when parameters may not be estimable outside ...
Summarizes a glm, adding a column of GLRT or Rao score P-values
Gets the variance-covariance matrix of fixed effects of a fitted model
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) <doi:10.1214/aoms/1177732360> for the LRT chi-square approximation. See Rao (1948) <doi:10.1017/S0305004100023987> for Rao's score test. See Wald (1943) <doi:10.2307/1990256> for Wald's test.