Function reference • mcglm

All functions
`ESS()`	Generalized Error Sum of Squares
`GOSHO()`	Gosho Information Criterion
`Hunting`	Hunting in Pico Basile, Bioko Island, Equatorial Guinea.
`NewBorn`	Respiratory Physiotherapy on Premature Newborns.
`RJC()`	Rotnitzky-Jewell Information Criterion
`ahs`	Australian Health Survey
`anova(<mcglm>)`	Anova Tables
`coef(<mcglm>)`	Model Coefficients
`confint(<mcglm>)`	Confidence Intervals for Model Parameters
`fit_mcglm()`	Chaser and Reciprocal Likelihood Algorithms
`fitted(<mcglm>)`	Fitted Values
`gof()`	Measures of Goodness-of-Fit
`mc_anova_disp()`	Anova Tables for dispersion components
`mc_bias_corrected_std()`	Bias-corrected Standard Error for Regression Parameters
`mc_car()`	Conditional Autoregressive Model Structure
`mc_complete_data()`	Complete Data Set with NA
`mc_compute_rho()`	Autocorrelation Estimates
`mc_conditional_test()`	Conditional Hypotheses Tests
`mc_dglm()`	Double Generalized Linear Models Structure
`mc_dist()`	Distance Models Structure
`mc_id()`	Independent Model Structure
`mc_initial_values()`	Automatic Initial Values
`mc_link_function()` `mc_logit()` `mc_probit()` `mc_cauchit()` `mc_cloglog()` `mc_loglog()` `mc_identity()` `mc_log()` `mc_sqrt()` `mc_invmu2()` `mc_inverse()`	Link Functions
`mc_ma()`	Moving Average Models Structure
`mc_matrix_linear_predictor()`	Matrix Linear Predictor
`mc_mixed()`	Mixed Models Structure
`mc_ns()`	Non-structure Model Structure
`mc_remove_na()`	Remove NA from Matrix Linear Predictor
`mc_robust_std()`	Robust Standard Error for Regression Parameters
`mc_rw()`	Random Walk Models Structure
`mc_sic()`	Score Information Criterion - Regression
`mc_sic_covariance()`	Score Information Criterion - Covariance
`mc_twin()` `mc_twin_bio()` `mc_twin_full()`	Twin Models Structure
`mc_variance_function()` `mc_power()` `mc_binomialP()` `mc_binomialPQ()`	Variance Functions
`mcglm()`	Fitting Multivariate Covariance Generalized Linear Models
`pAIC()`	Pseudo Akaike Information Criterion
`pBIC()`	Pseudo Bayesian Information Criterion
`pKLIC()`	Pseudo Kullback-Leibler Information Criterion
`plogLik()`	Gaussian Pseudo-loglikelihood
`plot(<mcglm>)`	Residuals and algorithm check plots
`print(<mcglm>)`	Print
`residuals(<mcglm>)`	Residuals
`soil`	Soil Chemistry Properties Data
`soya`	Soybeans
`summary(<mcglm>)`	Summarizing
`vcov(<mcglm>)`	Variance-Covariance Matrix

Reference

All functions