Man pages for lcomm/rstanmed
Mediation in Stan

bin_bin_sens_stanBinary (M) - binary (Y) sensitivity analysis
bin_bin_stanSimple binary (M) binary (Y) mediation analysis in Stan
calculate_biasCalculate bias of posterior mean in Stan parameter samples
check_coverageEvaluate Y/N credible interval coverage
make_bl_typesConstruct all 4 possible combinations of binary Z1 and Z2
make_bl_weightsCalculate population prevalance of baseline covariate types
make_priorConstruct prior list based on type of sensitivity analysis
make_x_mConstruct design matrix for mediator regression model
make_x_uConstruct design matrix for unmeasured confounder regression...
make_x_yConstruct design matrix for outcome regression model
rstanmed-packageBayesian Mediation in Stan
simulate_dataSimulate data set
lcomm/rstanmed documentation built on Dec. 6, 2020, 9:11 a.m.