Man pages for wbonat/mglm4twin
Multivariate Generalized linear models for twin data

coef.mglm4twinModel Coefficients
covprodCross variability matrix
ef_core_pearsonCore of the Pearson estimating function.
ef_correctionPearson correction term
ef_cross_sensitivityCross-sensitivity
ef_cross_variabilityCompute the cross-variability matrix
ef_pearsonPearson estimating function
ef_quasi_scoreQuasi-score function
ef_sandwichMatrix product in sandwich form
ef_sensitivitySensitivity matrix
ef_variabilityVariability matrix
fit_mglmChaser and Reciprocal Likelihood algorithms
gofMeasures of Goodness-of-Fit
mglm4twinFitting Multivariate Covariance Generalized Linear Models to...
mt_build_omegaBuild omega matrix
mt_build_sigmaBuild variance-covariance matrix
mt_compute_genCompute genetic measures and their standard errors
mt_compute_rhoCompute correlation and its standard errors
mt_delta_methodDelta Method
mt_derivative_V_sqrt_betaDerivatives of V^1/2 with respect to beta.
mt_emp_variabilityEmpirical variability matrix
mt_getInformationGetting information about model parameters
mt_initial_valuesAutomatic Initial Values
mt_link_functionLink Functions
mt_list2vecAuxiliar function transforms list to a vector.
mt_matrix_linear_predictorMatrix Linear Predictor
mt_strucBuild structural matrix
mt_twinBuild twin matrix linear predictor components
mt_updateBetaUpdated regression parameters
mt_updateCovUpdated covariance parameters
mt_variance_functionVariance Functions
pAICPseudo Akaike Information Criterion
pBICPseudo Bayesian Information Criterion
pKLICPseudo Kullback-Leibler Information Criterion
plogLikGaussian Pseudo-loglikelihood
print.mglm4twinPrint
summary.mglm4twinSummarizing
vcov.mglm4twinVariance-Covariance Matrix
wbonat/mglm4twin documentation built on May 15, 2019, 3:22 p.m.