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DESCRIPTION

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Title: Wrap Around Time Series Graphics
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Description: Wrap-around Time Series (WATS) plots for interrupted time series
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designs with seasonal patterns.
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Version: 0.10.2.9000
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Date: 2015-11-10
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Version: 0.10.3
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Date: 2015-11-11
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Authors@R: c(person("Will", "Beasley", role = c("aut", "cre"), email =
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"wibeasley@hotmail.com"), person("Joe", "Rodgers", role = "aut", email =
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"joseph.l.rodgers@vanderbilt.edu"), person("Matthew", "Schuelke", role =
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Author: Will Beasley [aut, cre], Joe Rodgers [aut], Matthew Schuelke [ctb],
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Ronnie Coleman [ctb], Mark Joseph Lachowicz [ctb]
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Maintainer: Will Beasley <wibeasley@hotmail.com>
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URL: https://github.com/OuhscBbmc/Wats,
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http://dx.doi.org/10.5281/zenodo.11921
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URL: https://github.com/OuhscBbmc/Wats
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BugReports: https://github.com/OuhscBbmc/Wats/issues
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Depends:
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R (>= 3.0.0),

DocumentationPeek.pdf

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NEWS

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Versions 0.10.3 (Developed 2015-11-10)
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------------------------------------------------------------------------------
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Changes:
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* This submission is fixes a small incompatibility with the upcoming version of ggplot2. ggplot2's more stringent checking caught a mistake; when calling `ggplot2::geom_vline`, Wats used the parameter `x`, instead of the correct `xintercept`.
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Versions 0.3 through 0.10 (Developed from 2014-05-24 through 2015-08-16)
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------------------------------------------------------------------------------
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Changes:

cran-comments.md

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## Description
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This submission updates & improves various small things. Many changes are to keep up with CRAN policy changes since April 2014. Please tell me if there's something else I should do for CRAN.
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This submission is fixes a small incompatibility with the [upcoming version of ggplot2](https://github.com/hadley/ggplot2/blob/47679a52fd2a3ac89583da923dc9882c0020866c/revdep/summary.md#wats-0101). ggplot2's more stringent checking caught a mistake in my package. When calling `ggplot2::geom_vline`, I used the parameter `x`, instead of the correct `xintercept`. This [has been fixed](https://github.com/OuhscBbmc/Wats/commit/1e3543a17feff9bad7b77152ca457e6fdf1cf440). Please tell me if there's something else I should do for CRAN.
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-Will Beasley
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## Test environments
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* Local Win8, R 3.2.2 patched
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* win-builder (version="R-devel"); http://win-builder.r-project.org/i4evp1i45XnO
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* win-builder (version="R-devel"); http://win-builder.r-project.org/e7AbG2GnK8Xa
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* Travis CI, Ubuntu 12.04 LTS; https://travis-ci.org/OuhscBbmc/Wats
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* AppVeyor, Windows Server 2012; https://ci.appveyor.com/project/wibeasley/wats
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inst/doc/MbrFigures.html

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inst/doc/OkFertilityWithIntercensalEstimates.html

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</code></pre>
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<pre><code>
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rho acceptance rate: 0.08808809
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rho acceptance rate: 0.1081081
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</code></pre>
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<pre><code> logbf.i+t logbf.trend logbf.int
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-7.267794 -7.169014 -0.1430411
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<pre><code> logbf.i+t logbf.trend logbf.int
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-8.321383 -8.458739 -0.19257
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</code></pre>
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<pre><code class="r">(mcClassic &lt;- BayesSingleSub::trendtest.MC.AR(beforeClassic[!is.na(beforeClassic)], afterClassic[!is.na(afterClassic)], iterations=mcmcRepCount, progress=showMcmcProgress))
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</code></pre>
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<pre><code> logbf.joint logbf.trend logbf.int
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-2.170566 -26.96501 -0.6485437
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<pre><code> logbf.joint logbf.trend logbf.int
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-2.045547 -24.85768 0.7128188
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</code></pre>
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<pre><code class="r"># summary(mcClassic)
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<pre><code>
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rho acceptance rate: 0.05305305
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rho acceptance rate: 0.05505506
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</code></pre>
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<pre><code> logbf.i+t logbf.trend logbf.int
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-22.49544 -23.01085 -0.8050977
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-33.77143 -33.29238 -0.7821759
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<pre><code class="r">BayesSingleSub::trendtest.MC.AR(beforeLoess, afterLoess, iterations=mcmcRepCount, progress=showMcmcProgress)
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<pre><code> logbf.joint logbf.trend logbf.int
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<pre><code> logbf.joint logbf.trend logbf.int
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-8.878418 -53.95135 -0.6105561
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<h2>Session Info</h2>
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<p>The current vignette was build on a system using the following software.</p>
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<pre><code>Report created by Will at Tue Nov 10 21:16:07 2015, -0600
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<pre><code>Report created by Will at Wed Nov 11 09:03:17 2015, -0600
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</code></pre>
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<pre><code>R version 3.2.2 Patched (2015-10-11 r69514)
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[1] grid stats graphics grDevices utils datasets methods base
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other attached packages:
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[1] knitr_1.11 Wats_0.10.2.9000 boot_1.3-17 ggplot2_1.0.1.9003 scales_0.3.0 plyr_1.8.3
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[1] Wats_0.10.3 knitr_1.11 boot_1.3-17 ggplot2_1.0.1.9003 scales_0.3.0 plyr_1.8.3
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[7] testthat_0.11.0
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loaded via a namespace (and not attached):
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[1] Rcpp_0.12.1 RColorBrewer_1.1-2 formatR_1.2.1 tools_3.2.2 digest_0.6.8
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[6] praise_1.0.0 lubridate_1.3.3 memoise_0.2.1 evaluate_0.8 gtable_0.1.2
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[11] lattice_0.20-33 mvtnorm_1.0-3 coda_0.18-1 stringr_1.0.0 roxygen2_5.0.0
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[16] devtools_1.9.1 BayesSingleSub_0.6.2 magrittr_1.5 MASS_7.3-44 rsconnect_0.3.79
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[21] testit_0.4 mime_0.4 colorspace_1.2-6 labeling_0.3 stringi_1.0-1
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[26] MCMCpack_1.3-3 munsell_0.4.2 markdown_0.7.7 crayon_1.3.1 zoo_1.7-12
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[11] lattice_0.20-33 curl_0.9.3 mvtnorm_1.0-3 coda_0.18-1 stringr_1.0.0
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[16] roxygen2_5.0.0 devtools_1.9.1 BayesSingleSub_0.6.2 magrittr_1.5 MASS_7.3-44
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[21] rsconnect_0.3.79 testit_0.4 mime_0.4 colorspace_1.2-6 labeling_0.3
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[26] stringi_1.0-1 MCMCpack_1.3-3 munsell_0.4.2 markdown_0.7.7 crayon_1.3.1
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[31] zoo_1.7-12
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<h2>References</h2>
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