version 2.1.2

DESCRIPTION

@@ -1,6 +1,6 @@
 Package: RoBMA
 Title: Robust Bayesian Meta-Analyses
-Version: 2.1.1
+Version: 2.1.2
 Maintainer: František Bartoš <f.bartos96@gmail.com>
 Authors@R: c( 
     person("František", "Bartoš",     role = c("aut", "cre"),
@@ -44,7 +44,7 @@ Suggests: parallel, rstan, metaBMA, testthat, vdiffr, knitr, rmarkdown,
         covr
 RdMacros: Rdpack
 VignetteBuilder: knitr
-Packaged: 2021-11-03 07:37:37 UTC; fbart
+Packaged: 2022-01-05 21:37:49 UTC; fbart
 Author: František Bartoš [aut, cre] (<https://orcid.org/0000-0002-0018-5573>),
   Maximilian Maier [aut] (<https://orcid.org/0000-0002-9873-6096>),
   Eric-Jan Wagenmakers [ths] (<https://orcid.org/0000-0003-1596-1034>),
@@ -54,4 +54,4 @@ Author: František Bartoš [aut, cre] (<https://orcid.org/0000-0002-0018-5573>),
   Martyn Plummer [cph] (Original copyright holder of some modified code
     where indicated.)
 Repository: CRAN
-Date/Publication: 2021-11-03 08:10:16 UTC
+Date/Publication: 2022-01-12 08:32:42 UTC

MD5

@@ -1,7 +1,7 @@
-e9a39589749d86bee13ad3e48435e822 *DESCRIPTION
+30bd7fd1420fc5e3cea3018093aaa6ae *DESCRIPTION
 2723104b2f68b322211c88171a2dfb4d *NAMESPACE
-26f01b738882a4f980347d6612483701 *NEWS.md
-668cc0ea4342439d50113c0b19d81190 *R/RoBMA-package.R
+0ae080c4c34b104e0f67d443374a16a0 *NEWS.md
+1c2efbb44d4f84af0da4bca0d5495d23 *R/RoBMA-package.R
 43a305505d6f00fdc56010907a696f80 *R/check-input-and-settings.R
 645fe5f115e3c9262173ac755b611c2d *R/check-priors-and-models.R
 2611c65fd6537461b882cefdce2c7e70 *R/data.R
@@ -16,11 +16,11 @@ a72ea2f538d05806699a536d733e53e7 *R/distributions.R
 cd22dde138d15b99465b04eb97e49d17 *R/tools.R
 cc0fc23f9331953e8fa547a01b36226a *R/transformations-tools.R
 0455cd7fb4bbd536cdcbc151d26c4cd4 *R/transformations.R
-efdd2dbb3052820a84fb738082533608 *R/utilities.R
-4f84f749fa62366ea684a9ee8507719c *R/zzz.R
-d1741f20e282cf4a8a04d22f137c53a8 *README.md
-f16c626af796d707c59084e6c1843a5f *build/partial.rdb
-470650cac0221e3c92b46e60099ef79e *build/vignette.rds
+a4cb727df4c91b72678a25b808b16e2b *R/utilities.R
+60dc1e710fdc90848b25dde2130644f7 *R/zzz.R
+b1db4cf7f89c168131908261d4e3d9c8 *README.md
+7b649b24a1daec7d44665f8791bf8216 *build/partial.rdb
+aab22ea31319c88be663c6f78faefff3 *build/vignette.rds
 760dc96e9df5cdd5e94af60cede37069 *cleanup
 d57e4d76f7d4fb66d04dcd60b679ac0f *configure
 548c3a101f8e31059dbcedf6a2f934ff *configure.ac
@@ -32,18 +32,18 @@ c7cc6f9a65faceb858ad7dba5876eecd *inst/CITATION
 2dd5ac933d12333c2b8a87ad1d482b1a *inst/REFERENCES.bib
 bb4253fc50b5772dcbafae0756498e0b *inst/apa.csl
 ac2e03d3e7e6e59360ffe5c372956810 *inst/doc/CustomEnsembles.R
-ace7ab3742c5014a639730982a2f4251 *inst/doc/CustomEnsembles.Rmd
-805e8da6ac8d08f6ca4ed8877e6cbbc0 *inst/doc/CustomEnsembles.html
+b004b57447e2dcb83e2339ec2b3e10b8 *inst/doc/CustomEnsembles.Rmd
+1b13d9582a16f06ff737da5a26149753 *inst/doc/CustomEnsembles.html
 62e8e58cc0b4e1683e5dd8e1769a7104 *inst/doc/MedicineBMA.R
-cb479cfd3dde776e6cab16cd2ec41f0e *inst/doc/MedicineBMA.Rmd
-33b79c67ce8ca89483d0e2c8e9cdc4f2 *inst/doc/MedicineBMA.html
+81f1f65d1d6e88ebc484c096b8ad1b74 *inst/doc/MedicineBMA.Rmd
+cbda6afc88bfeb1ac5f0d89ba03c15ec *inst/doc/MedicineBMA.html
 9a1dbc7f078c153388f460c8dc983392 *inst/doc/ReproducingBMA.R
 b1c1852c7de459c4421ae87949cd9802 *inst/doc/ReproducingBMA.Rmd
-9dd13ea08f5023e6413d5321fc48a817 *inst/doc/ReproducingBMA.html
+8d58bca285cbc21944f046bb0207747a *inst/doc/ReproducingBMA.html
 60cf5e03077f6969f5d0c85c17260e4d *man/Anderson2010.Rd
 5324a3e1e554e2e230ebce87149a7b6c *man/Bem2011.Rd
 223236109c7a979824a985d3cc3cac37 *man/Poulsen2006.Rd
-c8fb945b759b7ab98859fcd963660dc9 *man/RoBMA-package.Rd
+1566ef4dc00fbfdff5d60fd1abc76ed9 *man/RoBMA-package.Rd
 088d1e0cb83b052447fbe1c2ca50a217 *man/RoBMA.Rd
 aad724c2ea0020421a2dc6cd17b904da *man/RoBMA_control.Rd
 32dba31d6713776b551b1bb3699d205c *man/RoBMA_options.Rd
@@ -79,6 +79,7 @@ c1c1f994c4e52b88d35a01ba98780fd6 *man/prior_none.Rd
 c03013f1f30dff82fecb19366048a53f *man/update.RoBMA.Rd
 d0709638b1704656ba678caddfc8fd68 *man/weighted_normal.Rd
 69fe3562edeef5b116af2a1fc145d2b8 *src/Makevars.in
+612b3fe82ecd0c90e7d37525e33f1b44 *src/Makevars.ucrt
 60fe6dfe3087d85baa810358806c43e0 *src/Makevars.win
 fdb4160bcc24b8f24262463f4f6e40a3 *src/RoBMA.cc
 3057280c857f91e278b62eca9148aba5 *src/distributions/DWN1.cc
@@ -104,6 +105,6 @@ f7d37918118160039f9e9d0e19bf48ba *src/transformations/logOR.cc
 420cd69dfbbad14035813bda1b0d0ff7 *src/transformations/z.h
 a44b750a42f3ec1655e214439ed62f98 *tests/testthat.R
 bef8892dff0ab25ee7359dbff70fe60e *tests/testthat/test-0-CRAN.R
-ace7ab3742c5014a639730982a2f4251 *vignettes/CustomEnsembles.Rmd
-cb479cfd3dde776e6cab16cd2ec41f0e *vignettes/MedicineBMA.Rmd
+b004b57447e2dcb83e2339ec2b3e10b8 *vignettes/CustomEnsembles.Rmd
+81f1f65d1d6e88ebc484c096b8ad1b74 *vignettes/MedicineBMA.Rmd
 b1c1852c7de459c4421ae87949cd9802 *vignettes/ReproducingBMA.Rmd

NEWS.md

@@ -1,3 +1,8 @@
+## version 2.1.2
+### Fixes
+- adding Windows ucrt patch (thanks to Tomas Kalibera)
+- adding BayesTools version check
+
 ## version 2.1.1
 ### Fixes
 - incorrectly formatted citations in vignettes and capitalization

R/RoBMA-package.R

@@ -19,7 +19,7 @@
 ##' More details regarding customization of the model ensembles are provided in the
 ##' \href{../doc/ReproducingBMA.html}{\bold{Reproducing BMA}},
 ##' \href{../doc/MedicineBMA.html}{\bold{BMA in Medicine}}, and
-##' \href{../doc/CustomEnsembles.html}{\bold{Fitting custom meta-analytic ensembles}}
+##' \href{../doc/CustomEnsembles.html}{\bold{Fitting Custom Meta-Analytic Ensembles}}
 ##' vignettes. Please, use the "Issues" section in the GitHub repository to ask any
 ##' further questions.
 ##'

R/utilities.R

@@ -73,3 +73,48 @@ assign("options",         RoBMA.private$defaultoptions,   envir = RoBMA.private)
 assign("RoBMA_version",   "notset",                       envir = RoBMA.private)
 assign("min_jags_major",  4,                              envir = RoBMA.private)
 assign("max_jags_major",  4,                              envir = RoBMA.private)
+
+
+# check proper BayesTools package version
+.check_BayesTools <- function(){
+
+  RoBMA.version      <- try(utils::packageVersion("RoBMA"))
+  BayesTools.version <- try(utils::packageVersion("BayesTools"))
+
+  if(inherits(RoBMA.version, "try-error") | inherits(BayesTools.version, "try-error")){
+    return(invisible(FALSE))
+  }
+
+  if(is.null(RoBMA.version) | is.null(BayesTools.version)){
+    return(invisible(FALSE))
+  }
+
+  BayesTools_min <- switch(
+    paste0(RoBMA.version, collapse = "."),
+    "2.1.1" = "0.1.3",
+    "2.1.2" = "0.1.3",
+    stop("New RoBMA version needs to be defined in '.check_BayesTools' function!")
+  )
+  BayesTools_max <- switch(
+    paste0(RoBMA.version, collapse = "."),
+    "2.1.1" = "0.1.3",
+    "2.1.2" = "0.1.3",
+    stop("New RoBMA version needs to be defined in '.check_BayesTools' function!")
+  )
+
+  min_OK <- all(as.integer(strsplit(BayesTools_min, ".", fixed = TRUE)[[1]]) <= unlist(BayesTools.version))
+  max_OK <- all(as.integer(strsplit(BayesTools_max, ".", fixed = TRUE)[[1]]) >= unlist(BayesTools.version))
+
+  if(min_OK && max_OK){
+    return(invisible(TRUE))
+  }else{
+    warning(sprintf(
+      "RoBMA version %1$s requires BayesTools version higher or equal %2$s and lower or equal %3$s.",
+      paste0(RoBMA.version, collapse = "."),
+      BayesTools_min,
+      BayesTools_max
+    ), call.=FALSE)
+    return(invisible(FALSE))
+  }
+}
+

R/zzz.R

@@ -24,11 +24,13 @@
     }
   }
 
+  .check_BayesTools()
+
 }
 
 .onAttach <- function(libname, pkgname){
 
-  packageStartupMessage("This is a 2.1 version of the RoBMA package (see NEWS for detailed overview of the changes).")
+  # packageStartupMessage("This is a 2.1 version of the RoBMA package (see NEWS for detailed overview of the changes).")
 
 }
 

README.md

@@ -25,14 +25,14 @@ heterogeneity, and publication bias components (including selection,
 PET, and PEESE style models). The package provides convenient functions
 for summary, visualizations, and fit diagnostics.
 
-See our new pre-print Bartoš et al. (2021)
+See our new pre-print Bartoš, Maier, Wagenmakers, et al. (2021)
 (<https://doi.org/10.31234/osf.io/kvsp7>) for the description of the
 newest version, RoBMA-PSMA, or our previous paper introducing the method
 Maier et al. (in press) (<https://doi.org/10.31234/osf.io/u4cns>). The
 previous version of the methods is also implemented within the the
 user-friendly graphical user interface of JASP (JASP Team, 2020) and
-accompanied by a tutorial paper with more examples (Bartoš et al., 2020)
-(<https://doi.org/10.31234/osf.io/75bqn>).
+accompanied by a tutorial paper with more examples (Bartoš, Maier,
+Quintana, et al., 2021) (<https://doi.org/10.31234/osf.io/75bqn>).
 
 We also prepared multiple vignettes that illustrate functionality of the
 package:
@@ -41,12 +41,15 @@ package:
     (BMA)](https://fbartos.github.io/RoBMA/articles/ReproducingBMA.html)
 -   [Fitting custom meta-analytic
     ensembles](https://fbartos.github.io/RoBMA/articles/CustomEnsembles.html)
+-   [Informed Bayesian model-averaged meta-analysis in
+    medicine](https://fbartos.github.io/RoBMA/articles/MedicineBMA.html)
 
 ## Updates
 
 The package was updated to version 2.0 to provides Bayesian
 model-averaging across selection models and PET-PEESE (as described in
-Bartoš et al. (2021) at <https://doi.org/10.31234/osf.io/kvsp7>).
+Bartoš, Maier, Wagenmakers, et al. (2021) at
+<https://doi.org/10.31234/osf.io/kvsp7>).
 
 ### Backwards Compatibility
 
@@ -81,7 +84,7 @@ The 2.0 version brings several updates to the package:
     `prior_PEESE(distribution = "Cauchy", parameters = ...)`),
 -   new default prior distribution specification for the publication
     bias adjustment part of the models (corresponding to the RoBMA-PSMA
-    model from Bartoš et al. (2021)),
+    model from Bartoš, Maier, Wagenmakers, et al. (2021)),
 -   new `model_type` argument allowing to specify different “pre-canned”
     models (`"PSMA"` = RoBMA-PSMA, `"PP"` = RoBMA-PP, `"2w"` =
     corresponding to Maier et al. (in press)),
@@ -117,21 +120,20 @@ devtools::install_github("fbartos/RoBMA")
 ## Example
 
 To illustrate the functionality of the package, we fit the RoBMA-PSMA
-model from the example in Bartoš et al. (2021) to adjust for publication
-bias in the infamous Bem (2011) “Feeling the future” pre-cognition
-study. The RoBMA-PSMA model combines six selection models and PET-PEESE
-to adjust for publication bias. As in the pre-print, we analyze the data
-as described by Bem et al. (2011) in his reply to methodological
-critiques.
+model from the example in Bartoš, Maier, Wagenmakers, et al. (2021) to
+adjust for publication bias in the infamous Bem (2011) “Feeling the
+future” pre-cognition study. The RoBMA-PSMA model combines six selection
+models and PET-PEESE to adjust for publication bias. As in the
+pre-print, we analyze the data as described by Bem et al. (2011) in his
+reply to methodological critiques.
 
 First, we load the package and the data set included in the package.
 
 ``` r
 library(RoBMA)
 #> Loading required namespace: runjags
 #> module RoBMA loaded
-#> Loading required namespace: mvtnorm
-#> This is a 2.0 version of the RoBMA package (see NEWS for detailed overview of the changes).
+#> This is a 2.1 version of the RoBMA package (see NEWS for detailed overview of the changes).
 
 data("Bem2011", package = "RoBMA")
 Bem2011
@@ -330,9 +332,10 @@ line-spacing="2">
 
 <div id="ref-bartos2020adjusting" class="csl-entry">
 
-Bartoš, F., Maier, M., & Wagenmakers, E.-J. (2020). Adjusting for
-publication bias in JASP — selection models and robust Bayesian
-meta-analysis. In *PsyArXiv*. <https://doi.org/10.31234/osf.io/75bqn>
+Bartoš, F., Maier, M., Quintana, D. S., & Wagenmakers, E.-J. (2021).
+Adjusting for publication bias in JASP & R – selection models,
+PET-PEESE, and robust Bayesian meta-analysis. In *PsyArXiv*.
+<https://doi.org/10.31234/osf.io/75bqn>
 
 </div>
 

inst/doc/CustomEnsembles.Rmd

@@ -1,5 +1,5 @@
 ---
-title: "Fitting custom meta-analytic ensembles"
+title: "Fitting Custom Meta-Analytic Ensembles"
 author: "František Bartoš"
 date: "`r Sys.Date()`"
 output:
@@ -8,7 +8,7 @@ output:
 bibliography: ../inst/REFERENCES.bib
 csl: ../inst/apa.csl
 vignette: >
-  %\VignetteIndexEntry{Fitting custom meta-analytic ensembles}
+  %\VignetteIndexEntry{Fitting Custom Meta-Analytic Ensembles}
   %\VignetteEngine{knitr::rmarkdown}
   %\VignetteEncoding{UTF-8}
   %\VignetteEngine{knitr::rmarkdown_notangle}

inst/doc/CustomEnsembles.html

@@ -12,9 +12,9 @@
 
 <meta name="author" content="František Bartoš" />
 
-<meta name="date" content="2021-11-03" />
+<meta name="date" content="2022-01-05" />
 
-<title>Fitting custom meta-analytic ensembles</title>
+<title>Fitting Custom Meta-Analytic Ensembles</title>
 
 <script src="data:application/javascript;base64,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"></script>
 
@@ -161,9 +161,9 @@
 
 
 
-<h1 class="title toc-ignore">Fitting custom meta-analytic ensembles</h1>
+<h1 class="title toc-ignore">Fitting Custom Meta-Analytic Ensembles</h1>
 <h4 class="author">František Bartoš</h4>
-<h4 class="date">2021-11-03</h4>
+<h4 class="date">2022-01-05</h4>
 
 
 
@@ -175,20 +175,19 @@ <h3>The Dataset</h3>
 <div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(RoBMA)</span>
 <span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Loading required namespace: runjags</span></span>
 <span id="cb1-3"><a href="#cb1-3" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; module RoBMA loaded</span></span>
-<span id="cb1-4"><a href="#cb1-4" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; This is a 2.1 version of the RoBMA package (see NEWS for detailed overview of the changes).</span></span>
-<span id="cb1-5"><a href="#cb1-5" aria-hidden="true" tabindex="-1"></a></span>
-<span id="cb1-6"><a href="#cb1-6" aria-hidden="true" tabindex="-1"></a><span class="fu">data</span>(<span class="st">&quot;Bem2011&quot;</span>, <span class="at">package =</span> <span class="st">&quot;RoBMA&quot;</span>)</span>
-<span id="cb1-7"><a href="#cb1-7" aria-hidden="true" tabindex="-1"></a>Bem2011</span>
-<span id="cb1-8"><a href="#cb1-8" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;      d         se                                        study</span></span>
-<span id="cb1-9"><a href="#cb1-9" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 1 0.25 0.10155048                  Detection of Erotic Stimuli</span></span>
-<span id="cb1-10"><a href="#cb1-10" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 2 0.20 0.08246211                Avoidance of Negative Stimuli</span></span>
-<span id="cb1-11"><a href="#cb1-11" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 3 0.26 0.10323629                        Retroactive Priming I</span></span>
-<span id="cb1-12"><a href="#cb1-12" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 4 0.23 0.10182427                       Retroactive Priming II</span></span>
-<span id="cb1-13"><a href="#cb1-13" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 5 0.22 0.10120277  Retroactive Habituation I - Negative trials</span></span>
-<span id="cb1-14"><a href="#cb1-14" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 6 0.15 0.08210765 Retroactive Habituation II - Negative trials</span></span>
-<span id="cb1-15"><a href="#cb1-15" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 7 0.09 0.07085372             Retroactive Induction of Boredom</span></span>
-<span id="cb1-16"><a href="#cb1-16" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 8 0.19 0.10089846                     Facilitation of Recall I</span></span>
-<span id="cb1-17"><a href="#cb1-17" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 9 0.42 0.14752627                    Facilitation of Recall II</span></span></code></pre></div>
+<span id="cb1-4"><a href="#cb1-4" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb1-5"><a href="#cb1-5" aria-hidden="true" tabindex="-1"></a><span class="fu">data</span>(<span class="st">&quot;Bem2011&quot;</span>, <span class="at">package =</span> <span class="st">&quot;RoBMA&quot;</span>)</span>
+<span id="cb1-6"><a href="#cb1-6" aria-hidden="true" tabindex="-1"></a>Bem2011</span>
+<span id="cb1-7"><a href="#cb1-7" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;      d         se                                        study</span></span>
+<span id="cb1-8"><a href="#cb1-8" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 1 0.25 0.10155048                  Detection of Erotic Stimuli</span></span>
+<span id="cb1-9"><a href="#cb1-9" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 2 0.20 0.08246211                Avoidance of Negative Stimuli</span></span>
+<span id="cb1-10"><a href="#cb1-10" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 3 0.26 0.10323629                        Retroactive Priming I</span></span>
+<span id="cb1-11"><a href="#cb1-11" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 4 0.23 0.10182427                       Retroactive Priming II</span></span>
+<span id="cb1-12"><a href="#cb1-12" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 5 0.22 0.10120277  Retroactive Habituation I - Negative trials</span></span>
+<span id="cb1-13"><a href="#cb1-13" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 6 0.15 0.08210765 Retroactive Habituation II - Negative trials</span></span>
+<span id="cb1-14"><a href="#cb1-14" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 7 0.09 0.07085372             Retroactive Induction of Boredom</span></span>
+<span id="cb1-15"><a href="#cb1-15" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 8 0.19 0.10089846                     Facilitation of Recall I</span></span>
+<span id="cb1-16"><a href="#cb1-16" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 9 0.42 0.14752627                    Facilitation of Recall II</span></span></code></pre></div>
 </div>
 <div id="the-custom-ensemble" class="section level3">
 <h3>The Custom Ensemble</h3>

inst/doc/MedicineBMA.Rmd

@@ -1,5 +1,5 @@
 ---
-title: "Informed Bayesian Model-Average Meta-Analysis in Medicine"
+title: "Informed Bayesian Model-Averaged Meta-Analysis in Medicine"
 author: "František Bartoš"
 date: "`r Sys.Date()`"
 output:
@@ -8,7 +8,7 @@ output:
 bibliography: ../inst/REFERENCES.bib
 csl: ../inst/apa.csl
 vignette: >
-  %\VignetteIndexEntry{Informed Bayesian Model-Average Meta-Analysis in Medicine}
+  %\VignetteIndexEntry{Informed Bayesian Model-Averaged Meta-Analysis in Medicine}
   %\VignetteEngine{knitr::rmarkdown}
   %\VignetteEncoding{UTF-8}
   %\VignetteEngine{knitr::rmarkdown_notangle}