mcglm-package | Fitting Multivariate Covariance Generalized Linear Models (McGLM) |
ahs | Australian health survey |
anova.mcglm | ANOVA method for McGLMs. |
coef.mcglm | Extract model coefficients for mcglm class |
confint.mcglm | Confidence Intervals for mcglm |
covprod | Cross variability matrix |
fitted.mcglm | Extract Model Fitted Values of McGLM |
fit_mcglm | Chaser and reciprocal likelihood algorithms. |
Hunting | Hunting in Pico Basile, Bioko Island, Equatorial Guinea. |
mcglm | Fitting Multivariate Covariance Generalized Linear Models (McGLM) |
mc_bias_corrected_std | Bias-corrected standard error for regression parameters |
mc_binomialP | Variance function |
mc_binomialPQ | Variance function |
mc_build_bdiag | Build a block-diagonal matrix of zeros. |
mc_build_C | Build the joint covariance matrix |
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_cauchit | Link functions |
mc_cloglog | Link functions |
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_derivative_sigma_between | Build the correlation matrix between response variables |
mc_dexp_gold | Exponential-matrix and its derivatives |
mc_expm | Exponential-matrix covariance link function |
mc_getInformation | Getting information about model parameters |
mc_identity | Link functions |
mc_initial_values | Automatic initial values for McGLMs. |
mc_inverse | Link functions |
mc_invmu2 | Link functions |
mc_link_function | Link functions |
mc_list2vec | Auxiliar function transforms list to a vector. |
mc_log | Link functions |
mc_logit | Link functions |
mc_loglog | Link functions |
mc_matrix_linear_predictor | Matrix linear predictor |
mc_pearson | Pearson estimating function |
mc_power | Variance function |
mc_probit | Link functions |
mc_quasi_score | Quasi-score function |
mc_robust_std | Robust standard error for regression parameters |
mc_sandwich | Matrix product in sandwich form |
mc_sensitivity | Sensitivity matrix |
mc_sic | Compute the score information criterion (SIC) for multivariate covariance generalized linear models. |
mc_sic_covariance | Compute the score information criterion (SIC) for multivariate covariance generalized linear models. |
mc_sqrt | Link functions |
mc_transform_list_bdiag | Auxiliar function to compute the derivatives of the C matrix. |
mc_updateBeta | Updated regression parameters |
mc_updateCov | Updated covariance parameters |
mc_variability | Variability matrix |
mc_variance_function | Variance function |
NewBorn | Respiratory physiotherapy on premature newborns. |
plot.mcglm | Default Multivariate Covariance Generalized Linear models plotting |
print.mcglm | Print method for Multivariate Covariance Generalized Linear Model |
residuals.mcglm | Residuals for Multivariate Covariance Generalized Linear Models (McGLM) |
summary.mcglm | Summarizing Multivariate Covariance Generalized Linear Models fits. |
vcov.mcglm | Calculate Variance-Covariance matrix for a fitted McGLM object. |