Man pages for mcglm
Multivariate Covariance Generalized Linear Models

ahsAustralian Health Survey
anova.mcglmAnova Tables
coef.mcglmModel Coefficients
confint.mcglmConfidence Intervals for Model Parameters
covprodCross variability matrix
ESSGeneralized Error Sum of Squares
fit_mcglmChaser and Reciprocal Likelihood Algorithms
fitted.mcglmFitted Values
gofMeasures of Goodness-of-Fit
GOSHOGosho Information Criterion
HuntingHunting in Pico Basile, Bioko Island, Equatorial Guinea.
mc_bias_corrected_stdBias-corrected Standard Error for Regression Parameters
mc_build_bdiagBuild a block-diagonal matrix of zeros.
mc_build_CBuild the joint covariance matrix
mc_build_omegaBuild omega matrix
mc_build_sigmaBuild variance-covariance matrix
mc_build_sigma_betweenBuild the correlation matrix between response variables
mc_carConditional Autoregressive Model Structure
mc_complete_dataComplete Data Set with NA
mc_compute_rhoAutocorrelation Estimates
mc_conditional_testConditional Hypotheses Tests
mc_core_pearsonCore of the Pearson estimating function.
mc_correctionPearson correction term
mc_cross_sensitivityCross-sensitivity
mc_cross_variabilityCompute the cross-variability matrix
mc_derivative_choleskyDerivatives of the Cholesky decomposition
mc_derivative_C_rhoDerivative of C with respect to rho.
mc_derivative_expmDerivative of exponential-matrix function
mc_derivative_sigma_betaDerivatives of V^1/2 with respect to beta.
mc_dexp_goldExponential-matrix and its derivatives
mc_dglmDouble Generalized Linear Models Structure
mc_distDistance Models Structure
mc_expmExponential-matrix covariance link function
mc_getInformationGetting information about model parameters
mcglmFitting Multivariate Covariance Generalized Linear Models
mc_idIndependent Model Structure
mc_initial_valuesAutomatic Initial Values
mc_link_functionLink Functions
mc_list2vecAuxiliar function transforms list to a vector.
mc_maMoving Average Models Structure
mc_matrix_linear_predictorMatrix Linear Predictor
mc_mixedMixed Models Structure
mc_nsNon-structure Model Structure
mc_pearsonPearson estimating function
mc_quasi_scoreQuasi-score function
mc_remove_naRemove NA from Matrix Linear Predictor
mc_robust_stdRobust Standard Error for Regression Parameters
mc_rwRandom Walk Models Structure
mc_sandwichMatrix product in sandwich form
mc_sensitivitySensitivity matrix
mc_sicScore Information Criterion - Regression
mc_sic_covarianceScore Information Criterion - Covariance
mc_transform_list_bdiagAuxiliar function to compute the derivatives of the C matrix.
mc_twinTwin Models Structure
mc_updateBetaUpdated regression parameters
mc_updateCovUpdated covariance parameters
mc_variabilityVariability matrix
mc_variance_functionVariance Functions
NewBornRespiratory Physiotherapy on Premature Newborns.
pAICPseudo Akaike Information Criterion
pBICPseudo Bayesian Information Criterion
pKLICPseudo Kullback-Leibler Information Criterion
plogLikGaussian Pseudo-loglikelihood
plot.mcglmResiduals and algorithm check plots
print.mcglmPrint
residuals.mcglmResiduals
RJCRotnitzky-Jewell Information Criterion
soilSoil Chemistry Properties Data
soyaSoybeans
summary.mcglmSummarizing
vcov.mcglmVariance-Covariance Matrix
mcglm documentation built on April 11, 2018, 1:03 a.m.