Accepted on Cran

Switched to Development Version

CRAN-SUBMISSION

@@ -1,3 +1,3 @@
 Version: 0.1.0
-Date: 2023-10-06 12:16:39 UTC
-SHA: 995484a9774331f23ddac53b62c70997768a0c28
+Date: 2023-10-09 15:12:17 UTC
+SHA: 46c9f0ebabdd38528516b0da692c197435679144

NEWS.md

@@ -1,5 +1,7 @@
 # SANple (development version)
 
+* ...
+
 # SANple 0.1.0
 
 * Submitted to CRAN

README.Rmd

@@ -13,12 +13,17 @@ knitr::opts_chunk$set(
 )
 ```
 
-# SANple v0.1.0 <img src="man/figures/sanple_draft.png" align="right" width="120" />
+# SANple v0.1.0.9000 <img src="man/figures/sanple_draft.png" align="right" width="120" />
 
 <!-- badges: start -->
 [![R-CMD-check](https://github.com/laura-dangelo/SANple/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/laura-dangelo/SANple/actions/workflows/R-CMD-check.yaml)
+[![CRAN](https://www.r-pkg.org/badges/version/SANple)](https://cran.r-project.org/package=SANple)
+[![Last Commit](https://img.shields.io/github/last-commit/laura-dangelo/SANple)](https://github.com/laura-dangelo/SANple)
+[![Downloads (monthly)](https://cranlogs.r-pkg.org/badges/SANple?color=brightgreen)](https://www.r-pkg.org/pkg/SANple)
+[![Downloads (total)](https://cranlogs.r-pkg.org/badges/grand-total/SANple?color=brightgreen)](https://www.r-pkg.org/pkg/SANple)
 <!-- badges: end -->
-
+
+
 The goal of SANple is to estimate Bayesian nested mixture models via MCMC methods. Specifically, the package implements the common atoms model (Denti et al., 2023), its finite version (D'Angelo et al., 2023), and a hybrid finite-infinite model (D'Angelo and Denti, 2023+). All models use Gaussian mixtures with a normal-inverse-gamma prior distribution on the parameters. Additional functions are provided to help analyzing the results of the fitting procedure.
 
 ## Installation

README.md

@@ -1,11 +1,18 @@
 
 <!-- README.md is generated from README.Rmd. Please edit that file -->
 
-# SANple v0.1.0 <img src="man/figures/sanple_draft.png" align="right" width="120" />
+# SANple v0.1.0.9000 <img src="man/figures/sanple_draft.png" align="right" width="120" />
 
 <!-- badges: start -->
 
 [![R-CMD-check](https://github.com/laura-dangelo/SANple/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/laura-dangelo/SANple/actions/workflows/R-CMD-check.yaml)
+[![CRAN](https://www.r-pkg.org/badges/version/SANple)](https://cran.r-project.org/package=SANple)
+[![Last
+Commit](https://img.shields.io/github/last-commit/laura-dangelo/SANple)](https://github.com/laura-dangelo/SANple)
+[![Downloads
+(monthly)](https://cranlogs.r-pkg.org/badges/SANple?color=brightgreen)](https://www.r-pkg.org/pkg/SANple)
+[![Downloads
+(total)](https://cranlogs.r-pkg.org/badges/grand-total/SANple?color=brightgreen)](https://www.r-pkg.org/pkg/SANple)
 <!-- badges: end -->
 
 The goal of SANple is to estimate Bayesian nested mixture models via
@@ -57,7 +64,7 @@ out
 #> Model estimated on 290 total observations and 2 groups 
 #> Total MCMC iterations: 3000 
 #> maxL: 50 - maxK: 50 
-#> Elapsed time: 1.553 secs
+#> Elapsed time: 1.548 secs
 clusters <- estimate_clusters(out, burnin = 2000)
 clusters
 #>