Man pages for mcglm
Multivariate Covariance Generalized Linear Models

ahs	Australian Health Survey Data
anova.mcglm	Wald Tests for Fixed Effects in mcglm Models
coef.mcglm	Model Coefficients
confint.mcglm	Confidence Intervals for Model Parameters
covprod	Cross variability matrix
ESS	Generalized Error Sum of Squares
fit_mcglm	Chaser and Reciprocal Likelihood Algorithms
fitted.mcglm	Fitted Values
gof	Measures of Goodness-of-Fit
GOSHO	Gosho Information Criterion
Hunting	Hunting Data from Pico Basile, Bioko Island, Equatorial...
mc_anova_disp	Wald Tests for Dispersion Components
mc_bias_corrected_std	Bias-corrected Standard Error for Regression Parameters
mc_build_bdiag	Build a block-diagonal matrix of zeros.
mc_build_C	Build the joint covariance matrix
mc_build_F	Auxiliar function: Build F matrix for Wald multivariate test
mc_build_omega	Build omega matrix
mc_build_sigma	Build variance-covariance matrix
mc_build_sigma_between	Build the correlation matrix between response variables
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_core_pearson	Core of the Pearson estimating function.
mc_correction	Pearson correction term
mc_cross_sensitivity	Cross-sensitivity
mc_cross_variability	Compute the cross-variability matrix
mc_derivative_cholesky	Derivatives of the Cholesky decomposition
mc_derivative_C_rho	Derivative of C with respect to rho.
mc_derivative_expm	Derivative of exponential-matrix function
mc_derivative_sigma_beta	Derivatives of V ^{1/2} with respect to beta.
mc_dexp_gold	Exponential-matrix and its derivatives
mc_dglm	Double Generalized Linear Models Structure
mc_dist	Distance Models Structure
mc_expm	Exponential-matrix covariance link function
mc_getInformation	Getting information about model parameters
mcglm	Fitting Multivariate Covariance Generalized Linear Models
mc_id	Independent Model Structure
mc_initial_values	Automatic Initial Values
mc_link_function	Link Functions
mc_list2vec	Auxiliar function transforms list to a vector.
mc_ma	Moving Average Model Structure
mc_manova	MANOVA-Type Test for Multivariate Covariance GLMs
mc_manova_disp	MANOVA-Type Test for Dispersion Components of mcglm Models
mc_matrix_linear_predictor	Matrix Linear Predictor
mc_mixed	Mixed Models Structure
mc_ns	Non-structured Covariance Model
mc_pearson	Pearson Estimating Function
mc_quasi_score	Quasi-Score Function
mc_remove_na	Remove Missing Observations from Matrix Linear Predictor
mc_robust_std	Robust Standard Errors for Regression Parameters
mc_rw	Random Walk Model Structure
mc_sandwich	Matrix product in sandwich form
mc_sensitivity	Sensitivity matrix
mc_sic	Score Information Criterion for Regression Components
mc_sic_covariance	Score Information Criterion for Covariance Components
mc_transform_list_bdiag	Auxiliary Function for Block-Diagonal Matrix Construction
mc_twin	Twin Model Covariance Structures
mc_updateBeta	Update Regression Parameters
mc_updateCov	Update Covariance Parameters
mc_variability	Variability Matrix
mc_variance_function	Variance Functions for Generalized Linear Models
NewBorn	Respiratory Physiotherapy on Premature Newborns
pAIC	Pseudo Akaike Information Criterion
pBIC	Pseudo Bayesian Information Criterion
pKLIC	Pseudo Kullback-Leibler Information Criterion
plogLik	Gaussian Pseudo-Loglikelihood
plot.mcglm	Diagnostic Plots for mcglm Objects
print.mcglm	Print Method for mcglm Objects
residuals.mcglm	Residuals for mcglm Objects
RJC	Rotnitzky-Jewell Information Criterion
soil	Soil Chemistry Properties Dataset
soya	Soybeans Experiment Data
summary.mcglm	Summary for mcglm Objects
vcov.mcglm	Variance-Covariance Matrix for mcglm Objects