From 4967ff7fcb772375675278531546813fa529af25 Mon Sep 17 00:00:00 2001 From: fradenti Date: Tue, 10 Oct 2023 21:29:47 +0200 Subject: [PATCH] Accepted on Cran Switched to Development Version --- CRAN-SUBMISSION | 4 ++-- NEWS.md | 2 ++ README.Rmd | 9 +++++++-- README.md | 11 +++++++++-- 4 files changed, 20 insertions(+), 6 deletions(-) diff --git a/CRAN-SUBMISSION b/CRAN-SUBMISSION index 193e23d..2a6472c 100644 --- a/CRAN-SUBMISSION +++ b/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 diff --git a/NEWS.md b/NEWS.md index 7a333af..028c9be 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,5 +1,7 @@ # SANple (development version) +* ... + # SANple 0.1.0 * Submitted to CRAN diff --git a/README.Rmd b/README.Rmd index 31e7472..02f1122 100644 --- a/README.Rmd +++ b/README.Rmd @@ -13,12 +13,17 @@ knitr::opts_chunk$set( ) ``` -# SANple v0.1.0 +# SANple v0.1.0.9000 [![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) - + + 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 diff --git a/README.md b/README.md index 8e42e14..245cc78 100644 --- a/README.md +++ b/README.md @@ -1,11 +1,18 @@ -# SANple v0.1.0 +# SANple v0.1.0.9000 [![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) 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 #>