diff --git a/R/fit.bayesreg.R b/R/fit.bayesreg.R
index 97f0f68..f3d7ff6 100644
--- a/R/fit.bayesreg.R
+++ b/R/fit.bayesreg.R
@@ -61,7 +61,7 @@ fit.bayesreg <- function(dat, algorithm = "Binomial", draws = 10000) {
         # parameters to track
         ParsStage <- c("alpha", "alpha_mu", "ynew", "fit", "fitnew")
         # 
-        modfile <- paste0(tempdir(), "/Bayesian/Intercept.jags")
+        modfile <- paste0(tempdir(), "/Intercept.jags")
         interceptToJags(modfile)
         # 
         m1 <- do.call(R2jags::jags.parallel, list(data = modelDat, model.file = modfile, 
@@ -75,7 +75,7 @@ fit.bayesreg <- function(dat, algorithm = "Binomial", draws = 10000) {
         ParsStage <- c("alpha", "beta", "alpha_mu", "alpha_sigma", "beta_sigma", 
             "beta_mu", "ynew", "fit", "fitnew")
         # 
-        modfile <- paste0(tempdir(), "/Bayesian/Binomial.jags")
+        modfile <- paste0(tempdir(), "/Binomial.jags")
         binomialToJags(modfile)
         m1 <- do.call(R2jags::jags.parallel, list(data = modelDat, parameters.to.save = ParsStage, 
             model.file = modfile, n.thin = nt, n.iter = ni, n.burnin = nb, n.chains = nc, 
@@ -88,7 +88,7 @@ fit.bayesreg <- function(dat, algorithm = "Binomial", draws = 10000) {
         ParsStage <- c("alpha", "beta", "alpha_mu", "alpha_sigma", "beta_sigma", 
             "beta_mu", "ynew", "fit", "fitnew")
         # jags file.
-        modfile <- paste0(tempdir(), "/Bayesian/Poisson.jags")
+        modfile <- paste0(tempdir(), "/Poisson.jags")
         poissonToJags(modfile)
         # 
         m1 <- do.call(R2jags::jags.parallel(list(data = modelDat, parameters.to.save = ParsStage, 
@@ -102,7 +102,7 @@ fit.bayesreg <- function(dat, algorithm = "Binomial", draws = 10000) {
         ParsStage <- c("alpha", "beta", "alpha_mu", "alpha_sigma", "beta_sigma", 
             "beta_mu", "ynew", "fit", "fitnew")
         # jags file.
-        modfile <- paste0(tempdir(), "/Bayesian/Multinomial.jags")
+        modfile <- paste0(tempdir(), "/Multinomial.jags")
         multinomialToJags(modfile)
         # 
         m1 <- do.call(R2jags::jags.parallel, list(data = modelDat, parameters.to.save = ParsStage, 
diff --git a/tests/testthat/test-bayes.R b/tests/testthat/test-bayes.R
new file mode 100644
index 0000000..695a3b7
--- /dev/null
+++ b/tests/testthat/test-bayes.R
@@ -0,0 +1,18 @@
+context("Bayesian model")
+
+fl1 <- paste0(tempdir(), "/binjag.jags")
+fl2 <- paste0(tempdir(), "/intjag.jags")
+fl3 <- paste0(tempdir(), "/muljag.jags")
+fl4 <- paste0(tempdir(), "/poijag.jags")
+binomialToJags(fl1)
+interceptToJags(fl2)
+multinomialToJags(fl3)
+poissonToJags(fl4)
+
+
+test_that("generating models as jags files", {
+  expect_equal(TRUE, file.exists(fl1))
+  expect_equal(TRUE, file.exists(fl2))
+  expect_equal(TRUE, file.exists(fl3))
+  expect_equal(TRUE, file.exists(fl4))
+})