| ahs | Australian Health Survey |
| anova.mcglm | Anova Tables |
| 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 in Pico Basile, Bioko Island, Equatorial Guinea. |
| mc_anova_disp | Anova Tables 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 | Auxiliary 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 Auto regressive Model Structure |
| mc_complete_data | Complete data in case of missing observations |
| mc_compute_rho | Autocorrelation Estimates |
| mc_conditional_test | Conditional Hypotheses Tests |
| mc_core_pearson | Core of Pearson estimating functions |
| 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 Models Structure |
| mc_manova | MANOVA-type test for mcglm objects. |
| mc_manova_disp | MANOVA-type test for mcglm objects. |
| mc_matrix_linear_predictor | Matrix Linear Predictor |
| mc_mixed | Mixed Models Structure |
| mc_ns | Non-structure Model Structure |
| mc_pearson | Pearson estimating function |
| mc_quasi_score | Quasi-score function |
| 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_sandwich | Matrix product in sandwich form |
| mc_sensitivity | Sensitivity matrix |
| mc_sic | Score Information Criterion - Regression |
| mc_sic_covariance | Score Information Criterion - Covariance |
| mc_transform_list_bdiag | Auxiliar function to compute the derivatives of the C matrix. |
| mc_twin | Twin Models Structure |
| mc_updateBeta | Updated regression parameters |
| mc_updateCov | Updated covariance parameters |
| mc_variability | Variability matrix |
| mc_variance_function | Variance Functions |
| 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 | Residuals and algorithm check plots |
| print.mcglm | |
| residuals.mcglm | Residuals |
| RJC | Rotnitzky-Jewell Information Criterion |
| soil | Soil Chemistry Properties Data |
| soya | Soybeans |
| summary.mcglm | Summarizing |
| vcov.mcglm | Variance-Covariance Matrix |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.