Sun, 19 Mar 2017

Package endorse updated to version 1.5.1 with previous version 1.5.0 dated 2016-10-22

Title: Bayesian Measurement Models for Analyzing Endorsement Experiments
Description: Fit the hierarchical and non-hierarchical Bayesian measurement models proposed by Bullock, Imai, and Shapiro (2011) <DOI:10.1093/pan/mpr031> to analyze endorsement experiments. Endorsement experiments are a survey methodology for eliciting truthful responses to sensitive questions. This methodology is helpful when measuring support for socially sensitive political actors such as militant groups. The model is fitted with a Markov chain Monte Carlo algorithm and produces the output containing draws from the posterior distribution.
Author: Yuki Shiraito [aut, cre], Kosuke Imai [aut], Bryn Rosenfeld [ctb]
Maintainer: Yuki Shiraito <shiraito@princeton.edu>

Diff between endorse versions 1.5.0 dated 2016-10-22 and 1.5.1 dated 2017-03-19

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 MD5            |   18 +++++++++--------
 NAMESPACE      |    2 -
 R/GeoCount.R   |    5 ++--
 R/endorse.R    |   59 ++++++++++++++++++++++++++++-----------------------------
 README.md      |only
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 11 files changed, 61 insertions(+), 59 deletions(-)

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Package fasteraster updated to version 1.1.1 with previous version 1.0.4 dated 2016-07-26

Title: Raster Image Processing and Vector Recognition
Description: If there is a need to recognise edges on a raster image or a bitmap or any kind of a matrix, one can find packages that does only 90 degrees vectorization. Typically the nature of artefact images is linear and can be vectorized in much more efficient way than draw a series of 90 degrees lines. The fasteraster package does recognition of lines using only one pass. It also allows to calculate mass and the mass centers for the recognized zones or polygons.
Author: Andy Bosyi
Maintainer: Andy Bosyi <andy@bosyi.com>

Diff between fasteraster versions 1.0.4 dated 2016-07-26 and 1.1.1 dated 2017-03-19

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Package dbscan updated to version 1.1-1 with previous version 1.1-0 dated 2017-03-19

Title: Density Based Clustering of Applications with Noise (DBSCAN) and Related Algorithms
Description: A fast reimplementation of several density-based algorithms of the DBSCAN family for spatial data. Includes the DBSCAN (density-based spatial clustering of applications with noise) and OPTICS (ordering points to identify the clustering structure) clustering algorithms HDBSCAN (hierarchical DBSCAN) and the LOF (local outlier factor) algorithm. The implementations uses the kd-tree data structure (from library ANN) for faster k-nearest neighbor search. An R interface to fast kNN and fixed-radius NN search is also provided.
Author: Michael Hahsler [aut, cre, cph], Matthew Piekenbrock [aut, cph], Sunil Arya [ctb, cph], David Mount [ctb, cph]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

Diff between dbscan versions 1.1-0 dated 2017-03-19 and 1.1-1 dated 2017-03-19

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New package supc with initial version 0.1
Package: supc
Type: Package
Title: The Self-Updating Process Clustering Algorithms
Version: 0.1
Authors@R: c( person("Wush", "Wu", email = "wush978@gmail.com", role = c("aut", "cre")), person("Shang-Ying", "Shiu", email = "", role = c("aut", "ctb")))
Maintainer: Wush Wu <wush978@gmail.com>
Description: Implements the self-updating process clustering algorithms proposed in Shiu and Chen (2016) <doi:10.1080/00949655.2015.1049605>.
License: GPL (>= 3)
LazyData: TRUE
Depends: R (>= 3.0.2)
Imports: stats, Rcpp
Suggests: amap, knitr, rmarkdown
Enhances: gputools
LinkingTo: Rcpp(>= 0.12), BH(>= 1.62)
VignetteBuilder: knitr
RoxygenNote: 6.0.1
SystemRequirements: C++11
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2017-03-19 18:14:10 UTC; wush
Author: Wush Wu [aut, cre], Shang-Ying Shiu [aut, ctb]
Repository: CRAN
Date/Publication: 2017-03-19 18:19:02 UTC

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New package shinyShortcut with initial version 0.1.0
Package: shinyShortcut
Title: Creates an Executable Shortcut for Shiny Applications
Version: 0.1.0
Authors@R: person("Ewan", "Keith", email = "ewan.keith100@gmail.com", role = c("aut", "cre"))
Description: Provides function shinyShortcut() that, when given the base directory of a shiny application, will produce an executable file that runs the shiny app directly in the user's default browser. Tested on both windows and unix machines. Inspired by and borrowing from <http://www.mango-solutions.com/wp/2017/03/shiny-based-tablet-or-desktop-app/>.
Depends: R (>= 3.2.3)
License: GPL (>= 3) | file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: testthat, covr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-03-19 13:53:46 UTC; ewan
Author: Ewan Keith [aut, cre]
Maintainer: Ewan Keith <ewan.keith100@gmail.com>
Repository: CRAN
Date/Publication: 2017-03-19 18:13:08 UTC

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Package webchem updated to version 0.2 with previous version 0.1.1.1 dated 2016-11-18

Title: Chemical Information from the Web
Description: Chemical information from around the web. This package interacts with a suite of web APIs for chemical information.
Author: Eduard Szöcs [aut, cre], Daniel Muench [ctb], Johannes Ranke [ctb], Eric Scott [ctb]
Maintainer: Eduard Szöcs <eduardszoecs@gmail.com>

Diff between webchem versions 0.1.1.1 dated 2016-11-18 and 0.2 dated 2017-03-19

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Package spider (with last version 1.3-0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2013-12-27 1.3-0
2012-12-25 1.2-0
2012-11-15 1.1-5
2012-04-23 1.1-3
2012-03-14 1.1-2
2011-12-27 1.1-1
2011-11-12 1.1-0

Permanent link
Package Rcpp updated to version 0.12.10 with previous version 0.12.9 dated 2017-01-14

Title: Seamless R and C++ Integration
Description: The 'Rcpp' package provides R functions as well as C++ classes which offer a seamless integration of R and C++. Many R data types and objects can be mapped back and forth to C++ equivalents which facilitates both writing of new code as well as easier integration of third-party libraries. Documentation about 'Rcpp' is provided by several vignettes included in this package, via the 'Rcpp Gallery' site at <http://gallery.rcpp.org>, the paper by Eddelbuettel and Francois (2011, JSS), and the book by Eddelbuettel (2013, Springer); see 'citation("Rcpp")' for details on these last two.
Author: Dirk Eddelbuettel, Romain Francois, JJ Allaire, Kevin Ushey, Qiang Kou, Nathan Russell, Douglas Bates and John Chambers
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between Rcpp versions 0.12.9 dated 2017-01-14 and 0.12.10 dated 2017-03-19

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New package sicegar with initial version 0.1
Package: sicegar
Type: Package
Title: Analysis of Single-Cell Viral Growth Curves
Version: 0.1
Date: 2017-03-17
Authors@R: c( person("M. Umut", "Caglar", role = c("aut", "cre"), email = "umut.caglar@gmail.com"), person("Claus O.", "Wilke", role = c("aut"), email = "wilke@austin.utexas.edu") )
Description: Classifies time course fluorescence data of viral growth. The package categorize time course data into one of four categories, "ambiguous", "no signal", "sigmoidal", and "double sigmoidal" by fitting a series of mathematical models to the data. The origin of the package name came from "SIngle CEll Growth Analysis in R".
URL: https://github.com/wilkelab/sicegar
Imports: dplyr, minpack.lm, fBasics, ggplot2, stats
License: GPL-2 | GPL-3
LazyData: true
Suggests: knitr
VignetteBuilder: knitr
BugReports: https://github.com/wilkelab/sicegar/issues
Collate: 'categorize.R' 'mainFunctions.R' 'lineFitFunctions.R' 'sigmoidalFitFunctions.R' 'doublesigmoidalFitFunctions.R' 'normalizationFunction.R' 'sicegar.R' 'dataInputCheck.R' 'numericalReCalculation.R' 'generateFigures.R'
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-03-19 04:59:38 UTC; umut
Author: M. Umut Caglar [aut, cre], Claus O. Wilke [aut]
Maintainer: M. Umut Caglar <umut.caglar@gmail.com>
Repository: CRAN
Date/Publication: 2017-03-19 11:39:19 UTC

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Package SCVA updated to version 1.2 with previous version 1.1.1 dated 2015-01-27

Title: Single-Case Visual Analysis
Description: Make graphical representations of single case data and transform graphical displays back to raw data. The package also includes tools for visually analyzing single-case data, by displaying central location, variability and trend.
Author: Isis Bulte and Patrick Onghena
Maintainer: Tamal Kumar De <tamalkumar.de@kuleuven.be>

Diff between SCVA versions 1.1.1 dated 2015-01-27 and 1.2 dated 2017-03-19

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Package SCRT updated to version 1.2 with previous version 1.1.1 dated 2015-01-27

Title: Single-Case Randomization Tests
Description: Design single-case phase, alternation and multiple-baseline experiments, and conduct randomization tests on data gathered by means of such designs.
Author: Isis Bulte and Patrick Onghena
Maintainer: Tamal Kumar De <tamalkumar.de@kuleuven.be>

Diff between SCRT versions 1.1.1 dated 2015-01-27 and 1.2 dated 2017-03-19

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Package SCMA updated to version 1.2 with previous version 1.1.1 dated 2015-01-27

Title: Single-Case Meta-Analysis
Description: Perform meta-analysis of single-case experiments, including calculating various effect size measures (SMD, PND and PEM) and probability combining (additive and multiplicative method).
Author: Isis Bulte
Maintainer: Tamal Kumar De <tamalkumar.de@kuleuven.be>

Diff between SCMA versions 1.1.1 dated 2015-01-27 and 1.2 dated 2017-03-19

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Package rstan updated to version 2.14.2 with previous version 2.14.1 dated 2016-12-28

Title: R Interface to Stan
Description: User-facing R functions are provided to parse, compile, test, estimate, and analyze Stan models by accessing the header-only Stan library provided by the 'StanHeaders' package. The Stan project develops a probabilistic programming language that implements full Bayesian statistical inference via Markov Chain Monte Carlo, rough Bayesian inference via 'variational' approximation, and (optionally penalized) maximum likelihood estimation via optimization. In all three cases, automatic differentiation is used to quickly and accurately evaluate gradients without burdening the user with the need to derive the partial derivatives.
Author: Jiqiang Guo [aut], Jonah Gabry [aut], Ben Goodrich [cre, aut], Daniel Lee [ctb], Krzysztof Sakrejda [ctb], Trustees of Columbia University [cph], Oleg Sklyar [cph] (R/cxxfunplus.R), The R Core Team [cph] (R/pairs.R, R/dynGet.R), Jens Oehlschlaegel-Akiyoshi [cph] (R/pairs.R), Hadley Wickham [cph] (R/rtools.R), Joel de Guzman [cph] (Boost), John Fletcher [cph] (Boost), Thomas Heller [cph] (Boost), Eric Niebler [cph] (Boost)
Maintainer: Ben Goodrich <benjamin.goodrich@columbia.edu>

Diff between rstan versions 2.14.1 dated 2016-12-28 and 2.14.2 dated 2017-03-19

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New package RIA with initial version 1.0.0
Package: RIA
Type: Package
Title: Radiomics Image Analysis Toolbox for Grayscale Images
Version: 1.0.0
Date: 2017-03-17
Authors@R: person("Marton", "Kolossvary", role = c("aut", "cre"), email = "marton.kolossvary@cirg.hu")
Maintainer: Marton Kolossvary <marton.kolossvary@cirg.hu>
Description: Radiomics image analysis toolbox for grayscale 2D and 3D images. RIA calculates first-order, gray level co-occurrence matrix, gray level run length matrix and geometry-based statistics. Almost all calculations are done using vectorized formulas to optimize run speeds. Calculation of several thousands of parameters only takes minutes on a single core of a conventional PC.
License: AGPL-3
Depends: R (>= 3.3.0)
Imports: oro.dicom (>= 0.5.0)
LazyData: TRUE
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-03-18 23:22:57 UTC; Marci
Author: Marton Kolossvary [aut, cre]
Repository: CRAN
Date/Publication: 2017-03-19 11:41:05 UTC

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Package rebmix updated to version 2.9.1 with previous version 2.9.0 dated 2017-01-26

Title: Finite Mixture Modeling, Clustering & Classification
Description: R functions for random univariate and multivariate finite mixture model generation, estimation, clustering and classification. Variables can be continuous, discrete, independent or dependent and may follow normal, lognormal, Weibull, gamma, binomial, Poisson or Dirac parametric families.
Author: Marko Nagode [aut, cre]
Maintainer: Marko Nagode <marko.nagode@fs.uni-lj.si>

Diff between rebmix versions 2.9.0 dated 2017-01-26 and 2.9.1 dated 2017-03-19

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Package nopaco updated to version 0.99.9 with previous version 0.99.8 dated 2017-01-19

Title: Non-Parametric Concordance Coefficient: A Non-Parametric Concordance Test
Description: A non-parametric test for multi-observer concordance and differences between concordances in (un)balanced data.
Author: Rowan Kuiper [cre, aut], Remco Hoogenboezem [aut], Sjoerd Huisman [ctb], Pieter Sonneveld [ths], Mark van Duin [ths], google-sparsehash@googlegroups.com [aut, cph] (Copyright by Google Inc. as mentioned in inst/COPYRIGHTS, applies to all the files in the src/densehash directory)
Maintainer: Rowan Kuiper <r.kuiper.emc@gmail.com>

Diff between nopaco versions 0.99.8 dated 2017-01-19 and 0.99.9 dated 2017-03-19

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Package hyfo updated to version 1.3.9 with previous version 1.3.6 dated 2016-01-13

Title: Hydrology and Climate Forecasting
Description: Focuses on data processing and visualization in hydrology and climate forecasting. Main function includes data extraction, data downscaling, data resampling, gap filler of precipitation, bias correction of forecasting data, flexible time series plot, and spatial map generation. It is a good pre- processing and post-processing tool for hydrological and hydraulic modellers.
Author: Yuanchao Xu [aut, cre]
Maintainer: Yuanchao Xu <xuyuanchao37@gmail.com>

Diff between hyfo versions 1.3.6 dated 2016-01-13 and 1.3.9 dated 2017-03-19

 DESCRIPTION                     |   21 +++---
 MD5                             |  130 ++++++++++++++++++++--------------------
 NAMESPACE                       |    3 
 NEWS                            |   39 +++++++++---
 R/analyzeTS.R                   |   40 +++++++-----
 R/biasCorrect(generic).R        |   12 ++-
 R/case_anarbe.R                 |   19 +++--
 R/classes.R                     |    2 
 R/collectData.R                 |    7 +-
 R/extractPeriod(generic).R      |   13 ++--
 R/fillGap.R                     |    6 -
 R/getAnnual(generic).R          |   14 ++--
 R/getEnsemble.R                 |   13 ++--
 R/getPreciBar(generic).R        |   17 ++---
 R/getSpatialMap.R               |   17 ++---
 R/list2dataframe.R              |    2 
 R/multi-biasCorrect(generic).R  |   12 +--
 R/ncdf.R                        |   19 +++--
 R/readfolders.R                 |    2 
 R/resample(generic).R           |   13 ++--
 R/shp2cat.R                     |    6 -
 R/startup.R                     |    4 -
 README.md                       |    5 -
 build/vignette.rds              |binary
 inst/doc/hyfo.Rmd               |    7 --
 inst/doc/hyfo.pdf               |binary
 man/applyBiasFactor.Rd          |   50 +++++++--------
 man/biasCorrect.Rd              |  100 ++++++++++++++----------------
 man/biasFactor-class.Rd         |    2 
 man/biasFactor.hyfo-class.Rd    |    2 
 man/checkBind.Rd                |    5 -
 man/collectData.Rd              |    9 +-
 man/collectData_csv_anarbe.Rd   |    9 +-
 man/collectData_excel_anarbe.Rd |    3 
 man/collectData_txt_anarbe.Rd   |   11 +--
 man/coord2cell.Rd               |    3 
 man/downscaleNcdf.Rd            |    6 -
 man/extractPeriod.Rd            |   38 ++++-------
 man/fillGap.Rd                  |   18 ++---
 man/getAnnual.Rd                |   22 ++----
 man/getAnnual_dataframe.Rd      |    3 
 man/getBiasFactor.Rd            |   54 +++++++---------
 man/getEnsem_comb.Rd            |   12 ++-
 man/getFrcEnsem.Rd              |   19 +++--
 man/getHisEnsem.Rd              |   28 ++++----
 man/getLMom.Rd                  |    8 +-
 man/getMeanPreci.Rd             |   11 +--
 man/getMoment.Rd                |   10 +--
 man/getNcdfVar.Rd               |    8 +-
 man/getPreciBar.Rd              |   26 +++-----
 man/getPreciBar_comb.Rd         |   13 ++--
 man/getSpatialMap.Rd            |   12 ++-
 man/getSpatialMap_comb.Rd       |   10 +--
 man/getSpatialMap_mat.Rd        |   23 +++----
 man/list2Dataframe.Rd           |    8 +-
 man/loadNcdf.Rd                 |   16 ++--
 man/monthlyPreci.Rd             |    3 
 man/plotTS.Rd                   |   14 ++--
 man/plotTS_comb.Rd              |    8 +-
 man/resample.Rd                 |   28 +++-----
 man/shp2cat.Rd                  |   12 +--
 man/testCat.Rd                  |    3 
 man/testdl.Rd                   |    3 
 man/tgridData.Rd                |    9 +-
 man/writeNcdf.Rd                |   18 ++---
 vignettes/hyfo.Rmd              |    7 --
 66 files changed, 543 insertions(+), 524 deletions(-)

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Package dbscan updated to version 1.1-0 with previous version 1.0-0 dated 2017-02-02

Title: Density Based Clustering of Applications with Noise (DBSCAN) and Related Algorithms
Description: A fast reimplementation of several density-based algorithms of the DBSCAN family for spatial data. Includes the DBSCAN (density-based spatial clustering of applications with noise) and OPTICS (ordering points to identify the clustering structure) clustering algorithms HDBSCAN (hierarchical DBSCAN) and the LOF (local outlier factor) algorithm. The implementations uses the kd-tree data structure (from library ANN) for faster k-nearest neighbor search. An R interface to fast kNN and fixed-radius NN search is also provided.
Author: Michael Hahsler [aut, cre, cph], Matthew Piekenbrock [aut, cph], Sunil Arya [ctb, cph], David Mount [ctb, cph]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

Diff between dbscan versions 1.0-0 dated 2017-02-02 and 1.1-0 dated 2017-03-19

 DESCRIPTION                   |   16 +-
 MD5                           |   84 ++++++++----
 NAMESPACE                     |   19 ++
 NEWS.md                       |   28 ++++
 R/GLOSH.R                     |only
 R/NN.R                        |only
 R/RcppExports.R               |   92 +++++++++++++
 R/dendrogram.R                |only
 R/extractFOSC.R               |only
 R/frNN.R                      |   32 ++++
 R/hdbscan.R                   |only
 R/jpclust.R                   |   31 +++-
 R/kNN.R                       |   35 ++++-
 R/optics.R                    |    1 
 R/pointdensity.R              |only
 R/sNN.R                       |only
 R/sNNclust.R                  |only
 README.md                     |   48 ++++++-
 build/vignette.rds            |binary
 data                          |only
 inst/doc/dbscan.Rnw           |    6 
 inst/doc/dbscan.pdf           |binary
 inst/doc/hdbscan.R            |only
 inst/doc/hdbscan.Rmd          |only
 inst/doc/hdbscan.html         |only
 man/DS3.Rd                    |only
 man/NN.Rd                     |only
 man/dbscan.Rd                 |    7 -
 man/fosc.Rd                   |only
 man/frNN.Rd                   |   26 ++-
 man/glosh.Rd                  |only
 man/hdbscan.Rd                |only
 man/jpclust.Rd                |   33 +++-
 man/kNN.Rd                    |   27 +--
 man/lof.Rd                    |    5 
 man/moons.Rd                  |only
 man/pointdensity.Rd           |only
 man/reachability.Rd           |    2 
 man/sNN.Rd                    |only
 man/sNNclust.Rd               |only
 src/Makevars                  |only
 src/R_JP.cpp                  |   56 +++++++-
 src/R_density.cpp             |only
 src/R_kNN.cpp                 |    2 
 src/R_kNN.h                   |only
 src/RcppExports.cpp           |  286 ++++++++++++++++++++++++++++++++++++++++++
 src/buildHDBSCAN.cpp          |only
 src/dendrogram.cpp            |   73 ++++++++++
 src/init.c                    |only
 src/mrd.cpp                   |only
 src/prims_mst.cpp             |only
 src/utilities.h               |only
 tests/testthat/Rplots.pdf     |only
 tests/testthat/test-fosc.R    |only
 tests/testthat/test-frNN.R    |   11 +
 tests/testthat/test-hdbscan.R |only
 tests/testthat/test-kNN.R     |   10 +
 vignettes/dbscan.Rnw          |    6 
 vignettes/hdbscan.Rmd         |only
 59 files changed, 837 insertions(+), 99 deletions(-)

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Package ensembleBMA updated to version 5.1.4 with previous version 5.1.3 dated 2016-06-19

Title: Probabilistic Forecasting using Ensembles and Bayesian Model Averaging
Description: Bayesian Model Averaging to create probabilistic forecasts from ensemble forecasts and weather observations.
Author: Chris Fraley, Adrian E. Raftery, J. McLean Sloughter, Tilmann Gneiting, University of Washington.
Maintainer: Chris Fraley <fraley@u.washington.edu>

Diff between ensembleBMA versions 5.1.3 dated 2016-06-19 and 5.1.4 dated 2017-03-19

 CHANGELOG                   |    2 ++
 DESCRIPTION                 |    8 ++++----
 MD5                         |   34 +++++++++++++++++-----------------
 R/brierScore.fitBMAgamma.R  |    7 -------
 R/brierScore.fitBMAgamma0.R |    7 -------
 R/brierScore.fitBMAnormal.R |    7 -------
 R/cdf.fitBMAgamma.R         |    7 -------
 R/cdf.fitBMAgamma0.R        |    7 -------
 R/cdf.fitBMAnormal.R        |    7 -------
 R/crps.fitBMAgamma.R        |   11 -----------
 R/crps.fitBMAgamma0.R       |    7 -------
 R/crps.fitBMAnormal.R       |   11 -----------
 R/pit.fitBMAgamma.R         |    7 -------
 R/pit.fitBMAgamma0.R        |    7 -------
 R/pit.fitBMAnormal.R        |    7 -------
 R/plot.fitBMAgamma.R        |    7 -------
 R/plot.fitBMAgamma0.R       |    7 -------
 R/plot.fitBMAnormal.R       |    7 -------
 18 files changed, 23 insertions(+), 134 deletions(-)

More information about ensembleBMA at CRAN
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