Mcmc

DESCRIPTION

@@ -63,5 +63,5 @@ Imports: Rcpp, purrr, stringr, lavaan, rlang, MplusAutomation, nlme, dplyr,
 Depends: 
     R (>= 4.1.0)
 URL: https://modsem.org
-Suggests: knitr, rmarkdown, ggpubr, RColorBrewer
+Suggests: knitr, rmarkdown, ggpubr, RColorBrewer, rstan
 VignetteBuilder: knitr

NAMESPACE

@@ -18,6 +18,7 @@ S3method(centered_estimates,modsem_da)
 S3method(coef,modsem_da)
 S3method(coef,modsem_mplus)
 S3method(coef,modsem_pi)
+S3method(coef,modsem_stan)
 S3method(coefficients,modsem_da)
 S3method(coefficients,modsem_pi)
 S3method(compare_fit,modsem_da)
@@ -59,6 +60,7 @@ S3method(parameter_estimates,lavaan)
 S3method(parameter_estimates,modsem_da)
 S3method(parameter_estimates,modsem_mplus)
 S3method(parameter_estimates,modsem_pi)
+S3method(parameter_estimates,modsem_stan)
 S3method(print,ModsemMatrix)
 S3method(print,ModsemParTable)
 S3method(print,ModsemRelcorr)
@@ -68,6 +70,7 @@ S3method(print,modsem_da)
 S3method(print,modsem_mplus)
 S3method(print,modsem_partable_summary)
 S3method(print,modsem_pi)
+S3method(print,modsem_stan)
 S3method(print,simple_slopes)
 S3method(print,summary_da)
 S3method(print,summary_modsem_pi)
@@ -77,19 +80,23 @@ S3method(standardized_estimates,lavaan)
 S3method(standardized_estimates,modsem_da)
 S3method(standardized_estimates,modsem_mplus)
 S3method(standardized_estimates,modsem_pi)
+S3method(standardized_estimates,modsem_stan)
 S3method(summary,modsem_da)
 S3method(summary,modsem_mplus)
 S3method(summary,modsem_pi)
+S3method(summary,modsem_stan)
 S3method(var_interactions,data.frame)
 S3method(var_interactions,modsem_da)
 S3method(var_interactions,modsem_mplus)
 S3method(vcov,modsem_da)
 S3method(vcov,modsem_mplus)
 S3method(vcov,modsem_pi)
+S3method(vcov,modsem_stan)
 export(bootstrap_modsem)
 export(centered_estimates)
 export(colorize_output)
 export(compare_fit)
+export(compile_stan_model)
 export(default_settings_da)
 export(default_settings_pi)
 export(estimate_h0)
@@ -107,6 +114,7 @@ export(modsem_mplus)
 export(modsem_nobs)
 export(modsem_pi)
 export(modsem_predict)
+export(modsem_stan)
 export(modsem_vcov)
 export(modsemify)
 export(parameter_estimates)

R/construct_matrices_da.R

@@ -198,7 +198,6 @@ constructGamma <- function(DVs, IVs, parTable, auto.fix.first = TRUE) {
 
   exprsGamma <- rbind(exprsGamma1, exprsGamma3)
 
-
   numDVs <- length(DVs)
   numIVs <- length(IVs)
   gamma  <- matrix(0, nrow = numDVs, ncol = numIVs, dimnames = list(DVs, IVs))

R/generics_modsem_da.R

@@ -854,7 +854,8 @@ centered_estimates.modsem_da <- function(object,
 
 
 
-#' @describeIn modsem_predict
+#' @describeIn modsem_predict Predict From \code{modsem} Models
+#'
 #' Computes (optionally standardised) factor scores via the
 #'   regression method using the baseline model unless \code{H0 = FALSE}.
 #'