Package index • bayesianmasem

All functions

Norton13: Studies on the Hospital Anxiety and Depression Scale.
bayesianmasem bayesianmasem-package: The 'bayesianmasem' package.
bmasem-class: A class for models fitted with the package.
bmasem(): Fit random-effects Bayesian meta-analytic CFAs with minor factors assumed.
bmasem_composite_reliability(): Obtain composite reliability from a fitted model
bmasem_plot(): Plot model results
bmasem_residual_network(): Compute residual network
bmasem_stage_1(): Pool multiple correlation matrices.
bmasem_stage_2(): Fit random-effects Bayesian meta-analytic CFAs with minor factors assumed.
bmasempriors-class: A class for setting up priors.
g_inv_map(): Transform unbounded vector to correlation matrix
g_map(): Log matrix function using eigendecomposition
get_asy_cov(): Asymptotic variance matrix of lower half vector of correlation matrix
get_avar_mat(): Asymptotic variance matrix of lower half vector of log(correlation matrix)
issp89: Another dataset from the metaSEM package.
log_m(): Log matrix function using eigendecomposition
new_bmasempriors(): Set priors in package
pp_summary(): Pretty print model results