version 0.3.0

DESCRIPTION

@@ -1,8 +1,8 @@
 Package: pivmet
 Type: Package
 Title: Pivotal Methods for Bayesian Relabelling and k-Means Clustering
-Version: 0.2.0
-Date: 2019-06-23
+Version: 0.3.0
+Date: 2020-06-01
 Author: Leonardo Egidi[aut, cre], 
         Roberta Pappadà[aut], 
         Francesco Pauli[aut], 
@@ -21,13 +21,14 @@ Encoding: UTF-8
 LazyData: true
 LazyLoad: yes
 SystemRequirements: pandoc (>= 1.12.3), pandoc-citeproc
-Depends: bayesmix, rjags, mvtnorm, RcmdrMisc
-Imports: cluster, mclust, MASS, corpcor, runjags, rstan
+Depends: R (>= 3.1.0)
+Imports: cluster, mclust, MASS, corpcor, runjags, rstan, bayesmix,
+        rjags, mvtnorm, RcmdrMisc, bayesplot
 Suggests: knitr, rmarkdown
 VignetteBuilder: knitr
-RoxygenNote: 6.1.0
+RoxygenNote: 7.1.0
 BuildManual: yes
 NeedsCompilation: no
-Packaged: 2019-06-24 16:34:12 UTC; leoeg
+Packaged: 2020-06-03 15:34:32 UTC; leoeg
 Repository: CRAN
-Date/Publication: 2019-06-24 16:50:03 UTC
+Date/Publication: 2020-06-03 16:00:03 UTC

MD5

@@ -1,36 +1,36 @@
-b1bb55055b5109870d8a8dbc9831f3a3 *DESCRIPTION
-5d9f03ce2737ba18b95fdc5bb9af8cf4 *NAMESPACE
-1408e32bed72983ffb72525b7886e30e *NEWS.md
-289515c40ba1d4f146c914dca542a818 *R/bayes_mcmc.R
+2d67a32d66963f93eedc11925b50240c *DESCRIPTION
+3aa35170c13d0fdb7128cd4e332fe200 *NAMESPACE
+466cf791d0f7e2263cebce2e7a53f3eb *NEWS.md
+1583004459342bada788b1ae6af719f4 *R/bayes_mcmc.R
 4d44c58648506db591eb555dd52f0d0e *R/mus.R
-68c6d00c9e15c8f79d91246288890b3f *R/musk.R
+3feee1c2b73aad3d60e41e295cad3bbd *R/musk.R
 d4ed00a925ec98b801a718df387e3895 *R/pivotal.R
-9fe17395d40d8b65d166ba0dde949cb8 *R/plot.R
-32d5653664bf73e0bf89351d0810c513 *R/relab.R
-94e689ce4cad315e568e8500bc70d9cb *R/sim.R
+175f218e2732d4607ccec20593d25e98 *R/plot.R
+c66feba4425dc375249e06477286274e *R/relab.R
+9c01247fc760bb1e584b551eb8761267 *R/sim.R
 87606bf157b96b52f5b702f34951f885 *README.md
-510662c227cf4dd72a8bcf3ae43469f2 *build/vignette.rds
-83e37e5245796587040cd7fbd6a66a90 *inst/doc/K-means_clustering_using_the_MUS_algorithm.R
-3ff415f107be9ed39ef989e2680befdf *inst/doc/K-means_clustering_using_the_MUS_algorithm.Rmd
-41dd29112371ace304d7a3745aac47e9 *inst/doc/K-means_clustering_using_the_MUS_algorithm.html
-e5aaf256b4eb70e3a1995ec90c8cb9be *inst/doc/Relabelling_in_Bayesian_mixtures_by_pivotal_units.R
-2287794ea6095c7226a72baa3a0ff00d *inst/doc/Relabelling_in_Bayesian_mixtures_by_pivotal_units.Rmd
-1474980080f02950b82b8b0cdae7a62d *inst/doc/Relabelling_in_Bayesian_mixtures_by_pivotal_units.html
+6ee2012d1bfa7c51834c10336ece55a6 *build/vignette.rds
+9cbb93e3c363d2fbb5d57ead44fa1795 *inst/doc/K-means_clustering_using_the_MUS_algorithm.R
+a41635a5daf726815a3dc1ce9dc985e9 *inst/doc/K-means_clustering_using_the_MUS_algorithm.Rmd
+1ef5027874d415d8e0881767419e384b *inst/doc/K-means_clustering_using_the_MUS_algorithm.html
+39a6c3150de69f5c6e9dec870108ada0 *inst/doc/Relabelling_in_Bayesian_mixtures_by_pivotal_units.R
+6cb98f378e7b69662202049abfbc738c *inst/doc/Relabelling_in_Bayesian_mixtures_by_pivotal_units.Rmd
+fab773169134384bb43726926cc5291f *inst/doc/Relabelling_in_Bayesian_mixtures_by_pivotal_units.html
 14b018d2b8d5b3ff6060ce2dc9be103a *man/MUS.Rd
 83b55b9e457e02bcfb781b0781f06bf2 *man/figures/README-kmeans_plots-1.png
 387d2506d151432d2ab11212700884fa *man/figures/README-musk-1.png
 9bb0dfd1d8cdbfa77d0772d3c20c3de9 *man/figures/README-plot-1.png
 3d48ce33fa5475a43821cfcc735faba4 *man/figures/README-plot-2.png
-0d02a9db83f0edc9cf8d03726fe5697e *man/piv_KMeans.Rd
-3fd1b7bef45588816d749483b83dcd8d *man/piv_MCMC.Rd
-280286df4cd9476e674cc91530a7bfdf *man/piv_plot.Rd
-a3c65e21d5b6ceb0ad32842638343f47 *man/piv_rel.Rd
+6b8a2c6fc409a382f6587387e036a29e *man/piv_KMeans.Rd
+8bccbd3092e56186661989d07be35ff8 *man/piv_MCMC.Rd
+4ec5457f592dff5313e1752d5418e226 *man/piv_plot.Rd
+1495ea94519ec6a1f3dcc1974f85f666 *man/piv_rel.Rd
 63c33936022c37de6581db9f5a410ec3 *man/piv_sel.Rd
-60cc646bc8387133c832cca8488694ca *man/piv_sim.Rd
+0082e12811345c6b9f11b561ea0d639d *man/piv_sim.Rd
 d565fe1d140bd6770f832d28a6606458 *tests/testthat/test-bayesMCMC.R
 1cd9a2b29c1aa0cc8934f47a77800059 *tests/testthat/test-bayesMCMCbiv.R
 c410e73d8c2d40bdb9c3fe39c6c184fe *tests/testthat/test-mus.R
 e2d84ff6c6e19838a8101d236bcd74bb *tests/testthat/testthat.R
-3ff415f107be9ed39ef989e2680befdf *vignettes/K-means_clustering_using_the_MUS_algorithm.Rmd
-2287794ea6095c7226a72baa3a0ff00d *vignettes/Relabelling_in_Bayesian_mixtures_by_pivotal_units.Rmd
-4ba2fe1c5cb39e918396e888bd206053 *vignettes/ref.bib
+a41635a5daf726815a3dc1ce9dc985e9 *vignettes/K-means_clustering_using_the_MUS_algorithm.Rmd
+6cb98f378e7b69662202049abfbc738c *vignettes/Relabelling_in_Bayesian_mixtures_by_pivotal_units.Rmd
+19fa512f8bfd56e38f4a5e5fc31b1b2a *vignettes/ref.bib

NAMESPACE

@@ -1,4 +1,4 @@
-exportPattern("^[[:alpha:]]+")
+#exportPattern("^[[:alpha:]]+")
 export(piv_rel)
 export(piv_MCMC)
 export(piv_sel)
@@ -7,29 +7,22 @@ export(piv_sim)
 export(MUS)
 export(piv_KMeans)
 import(rjags)
-import(bayesmix)
-import(mvtnorm)
-#import(rstan)
+import(bayesplot)
+importFrom(bayesmix, BMMmodel, BMMpriors, priorsFish,
+           JAGScontrol, JAGSrun)
+importFrom(mvtnorm, rmvnorm)
 importFrom(rstan,
-           #rstan-package,
-           #as.array,
            As.mcmc.list,
            check_hmc_diagnostics ,
-           #Diagnostic plots ,
            expose_stan_functions ,
            extract ,
            extract_sparse_parts ,
-           #log_prob-methods ,
-           #loo.stanfit ,
            lookup ,
            makeconf_path ,
            monitor ,
            optimizing ,
-           #pairs.stanfit,
-           #print ,
            read_rdump,
            read_stan_csv,
-           #rstan-plotting-functions,
            rstan.package.skeleton ,
            rstan_gg_options ,
            rstan_options ,
@@ -39,12 +32,9 @@ importFrom(rstan,
            stan,
            stanc ,
            #stanfit-class ,
-           #stanmodel-class ,
-           #stan_demo ,
            stan_model,
            stan_rdump ,
            stan_version ,
-           #summary-methods ,
            traceplot ,
            vb
            )

NEWS.md

@@ -1,3 +1,18 @@
+# pivmet 0.3.0
+
+## Major fix
+
+* multivariate mixtures allowed 
+* stan divergences
+* stan fit available (e.g. for bayesplot package)
+
+## Minor fix
+
+* drop packages dependencies
+* vignettes updated
+* runjags arguments renamed (mu, tau, eta)
+* more checks in piv_rel function
+
 # pivmet 0.2.0
 
 * rstan now incorporated to fit mixtures