Sun, 21 Jun 2020

Package MachineLearning (with last version 0.1.4) was removed from CRAN

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

2020-03-05 0.1.4
2019-03-15 0.1.3
2019-02-22 0.0.3
2018-12-18 0.0.2

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Package breathtestcore (with last version 0.6.0) was removed from CRAN

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

2020-03-21 0.6.0
2020-03-01 0.5.0
2018-12-18 0.4.6
2018-10-17 0.4.5
2018-04-25 0.4.1
2017-10-13 0.4.0
2017-05-11 0.3.0

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Package PythonInR updated to version 0.1-12 with previous version 0.1-11 dated 2020-03-19

Title: Use 'Python' from Within 'R'
Description: Interact with 'Python' <https://www.python.org/> from within 'R'.
Author: Florian Schwendinger [aut, cre], Kimyen Truong [ctb]
Maintainer: Florian Schwendinger <FlorianSchwendinger@gmx.at>

Diff between PythonInR versions 0.1-11 dated 2020-03-19 and 0.1-12 dated 2020-06-21

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Package ggsoccer updated to version 0.1.6 with previous version 0.1.4 dated 2019-05-14

Title: Plot Soccer Event Data
Description: The 'ggplot2' package provides a powerful set of tools for visualising and investigating data. The 'ggsoccer' package provides a set of functions for elegantly displaying and exploring soccer event data with 'ggplot2'. Providing extensible layers and themes, it is designed to work smoothly with a variety of popular sports data providers.
Author: Ben Torvaney [aut, cre]
Maintainer: Ben Torvaney <torvaney@protonmail.com>

Diff between ggsoccer versions 0.1.4 dated 2019-05-14 and 0.1.6 dated 2020-06-21

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Package extendedFamily updated to version 0.1.1 with previous version 0.1.0 dated 2020-05-12

Title: Additional Families for Generalized Linear Models
Description: Creates family objects identical to stats family but for new links.
Author: Greg McMahan
Maintainer: Greg McMahan <gmcmacran@gmail.com>

Diff between extendedFamily versions 0.1.0 dated 2020-05-12 and 0.1.1 dated 2020-06-21

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Package wk updated to version 0.3.0 with previous version 0.2.1 dated 2020-05-11

Title: Lightweight Well-Known Geometry Parsing
Description: Provides a minimal R and C++ API for parsing well-known binary and well-known text representation of geometries to and from R-native formats. Well-known binary is compact and fast to parse; well-known text is human-readable and is useful for writing tests. These formats are only useful in R if the information they contain can be accessed in R, for which high-performance functions are provided here.
Author: Dewey Dunnington [aut, cre] (<https://orcid.org/0000-0002-9415-4582>), Edzer Pebesma [aut] (<https://orcid.org/0000-0001-8049-7069>), Refractions Research Inc. [cph], Vivid Solutions Inc. [cph]
Maintainer: Dewey Dunnington <dewey@fishandwhistle.net>

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More information about wk at CRAN
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Package RcppGSL updated to version 0.3.8 with previous version 0.3.7 dated 2019-10-20

Title: 'Rcpp' Integration for 'GNU GSL' Vectors and Matrices
Description: 'Rcpp' integration for 'GNU GSL' vectors and matrices The 'GNU Scientific Library' (or 'GSL') is a collection of numerical routines for scientific computing. It is particularly useful for C and C++ programs as it provides a standard C interface to a wide range of mathematical routines. There are over 1000 functions in total with an extensive test suite. The 'RcppGSL' package provides an easy-to-use interface between 'GSL' data structures and R using concepts from 'Rcpp' which is itself a package that eases the interfaces between R and C++. This package also serves as a prime example of how to build a package that uses 'Rcpp' to connect to another third-party library. The 'autoconf' script, 'inline' plugin and example package can all be used as a stanza to write a similar package against another library.
Author: Dirk Eddelbuettel and Romain Francois
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppGSL versions 0.3.7 dated 2019-10-20 and 0.3.8 dated 2020-06-21

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Package SpatialPack updated to version 0.3-819 with previous version 0.3-81 dated 2020-06-16

Title: Tools for Assessment the Association Between Two Spatial Processes
Description: Tools to assess the association between two spatial processes. Currently, several methodologies are implemented: A modified t-test to perform hypothesis testing about the independence between the processes, a suitable nonparametric correlation coefficient, the codispersion coefficient, and an F test for assessing the multiple correlation between one spatial process and several others. Functions for image processing and computing the spatial association between images are also provided.
Author: Felipe Osorio [aut, cre] (<https://orcid.org/0000-0002-4675-5201>), Ronny Vallejos [aut] (<https://orcid.org/0000-0001-5519-0946>), Francisco Cuevas [ctb], Diego Mancilla [ctb]
Maintainer: Felipe Osorio <felipe.osorios@usm.cl>

Diff between SpatialPack versions 0.3-81 dated 2020-06-16 and 0.3-819 dated 2020-06-21

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Package SMDIC updated to version 0.1.1 with previous version 0.1.0 dated 2020-06-16

Title: Identification of Somatic Mutation-Driven Immune Cells
Description: A computing tool is developed to automated identify somatic mutation-driven immune cells. The operation modes including: i) inferring the relative abundance matrix of tumor-infiltrating immune cells and integrating it with a particular gene mutation status, ii) detecting differential immune cells with respect to the gene mutation status and converting the abundance matrix of significant differential immune cell into two binary matrices (one for up-regulated and one for down-regulated), iii) identifying somatic mutation-driven immune cells by comparing the gene mutation status with each immune cell in the binary matrices across all samples, and iv) visualization of immune cell abundance of samples in different mutation status.
Author: Baotong Zheng, Junwei Han
Maintainer: Junwei Han <hanjunwei1981@163.com>

Diff between SMDIC versions 0.1.0 dated 2020-06-16 and 0.1.1 dated 2020-06-21

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New package glmm with initial version 1.4.2
Package: glmm
Type: Package
Title: Generalized Linear Mixed Models via Monte Carlo Likelihood Approximation
Version: 1.4.2
Date: 2020-6-20
Authors@R: c(person("Christina", "Knudson", role = c("aut", "cre"), email = "knud8583@stthomas.edu"), person("Charles J.", "Geyer", role = "ctb", email = "geyer@umn.edu"), person("Sydney", "Benson", role = "ctb", email = "bens0643@umn.edu"))
Maintainer: Christina Knudson <knud8583@stthomas.edu>
Description: Approximates the likelihood of a generalized linear mixed model using Monte Carlo likelihood approximation. Then maximizes the likelihood approximation to return maximum likelihood estimates, observed Fisher information, and other model information.
License: GPL-2
Depends: R (>= 3.5), trust, mvtnorm, Matrix, parallel, doParallel
Imports: stats, foreach, itertools, utils
ByteCompile: TRUE
NeedsCompilation: yes
Suggests: knitr
RoxygenNote: 7.0.2
Packaged: 2020-06-20 19:36:57 UTC; admin
Author: Christina Knudson [aut, cre], Charles J. Geyer [ctb], Sydney Benson [ctb]
Repository: CRAN
Date/Publication: 2020-06-21 13:40:02 UTC

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Package bfp updated to version 0.0-41 with previous version 0.0-40 dated 2019-01-21

Title: Bayesian Fractional Polynomials
Description: Implements the Bayesian paradigm for fractional polynomial models under the assumption of normally distributed error terms, see Sabanes Bove, D. and Held, L. (2011) <doi:10.1007/s11222-010-9170-7>.
Author: Daniel Sabanes Bove [aut, cre], Isaac Gravestock [aut], Robert Davies [cph], Stephen Moshier [cph]
Maintainer: Daniel Sabanes Bove <daniel.sabanesbove@gmx.net>

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Package priceR updated to version 0.1.3 with previous version 0.1.2 dated 2020-06-12

Title: Microeconomics and Pricing Tools
Description: Functions to aid in microeconomic analysis and handling of price and currency data. This includes extraction of relevant data (e.g. from World Bank API, and other sources), data cleaning/parsing, and standardisation. Inflation adjustment calculations as found in Principles of Macroeconomics by Gregory Mankiw et al (2014).
Author: Steve Condylios [aut, cre] (<https://orcid.org/0000-0003-0599-844X>)
Maintainer: Steve Condylios <steve.condylios@gmail.com>

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Package htmlTable updated to version 2.0.0 with previous version 1.13.3 dated 2019-12-04

Title: Advanced Tables for Markdown/HTML
Description: Tables with state-of-the-art layout elements such as row spanners, column spanners, table spanners, zebra striping, and more. While allowing advanced layout, the underlying css-structure is simple in order to maximize compatibility with word processors such as 'MS Word' or 'LibreOffice'. The package also contains a few text formatting functions that help outputting text compatible with HTML/LaTeX.
Author: Max Gordon [aut, cre], Stephen Gragg [aut], Peter Konings [aut]
Maintainer: Max Gordon <max@gforge.se>

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New package FDboost with initial version 0.3-3
Package: FDboost
Type: Package
Title: Boosting Functional Regression Models
Version: 0.3-3
Date: 2020-06-20
Authors@R: c(person("Sarah", "Brockhaus", role = c("aut", "cre"), email = "Sarah.Brockhaus@stat.uni-muenchen.de"), person("David", "Ruegamer", role = "aut", email = "david.ruegamer@stat.uni-muenchen.de"), person("Almond", "Stoecker", role = "aut", email = "almond.stoecker@stat.uni-muenchen.de"), person("Torsten", "Hothorn", role = "ctb"), person("with contributions by many others", "(see inst/CONTRIBUTIONS)", role = "ctb"))
Description: Regression models for functional data, i.e., scalar-on-function, function-on-scalar and function-on-function regression models, are fitted by a component-wise gradient boosting algorithm.
Depends: R (>= 3.5.0), mboost (>= 2.9-0)
Imports: methods, graphics, grDevices, utils, stats, Matrix, gamboostLSS (>= 2.0-0), stabs, mgcv, MASS, zoo
Suggests: fda, fields, ggplot2, maps, mapdata, knitr, refund, testthat
License: GPL-2
Packaged: 2020-06-20 17:38:30 UTC; Sarah
Collate: 'aaa.R' 'FDboost-package.R' 'FDboost.R' 'baselearners.R' 'baselearnersX.R' 'bootstrapCIs.R' 'constrainedX.R' 'crossvalidation.R' 'FDboostLSS.R' 'hmatrix.R' 'methods.R' 'stabsel.R' 'utilityFunctions.R'
RoxygenNote: 7.1.0
BugReports: https://github.com/boost-R/FDboost/issues
URL: https://github.com/boost-R/FDboost
VignetteBuilder: knitr
NeedsCompilation: no
Author: Sarah Brockhaus [aut, cre], David Ruegamer [aut], Almond Stoecker [aut], Torsten Hothorn [ctb], with contributions by many others (see inst/CONTRIBUTIONS) [ctb]
Maintainer: Sarah Brockhaus <Sarah.Brockhaus@stat.uni-muenchen.de>
Repository: CRAN
Date/Publication: 2020-06-21 12:50:03 UTC

More information about FDboost at CRAN
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Package upsetjs updated to version 1.3.1 with previous version 1.0.2 dated 2020-05-25

Title: 'HTMLWidget' Wrapper of 'UpSet.js' for Exploring Large Set Intersections
Description: 'UpSet.js' is a re-implementation of 'UpSetR' to create interactive set visualizations for more than three sets. This is a 'htmlwidget' wrapper around the 'JavaScript' library 'UpSet.js'.
Author: Samuel Gratzl [aut, cre]
Maintainer: Samuel Gratzl <sam@sgratzl.com>

Diff between upsetjs versions 1.0.2 dated 2020-05-25 and 1.3.1 dated 2020-06-21

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Package creditmodel updated to version 1.2.2 with previous version 1.2.1 dated 2020-05-23

Title: Toolkit for Credit Modeling, Analysis and Visualization
Description: Provides a highly efficient R tool suite for Credit Modeling, Analysis and Visualization. Contains infrastructure functionalities such as data exploration and preparation, missing values treatment, outliers treatment, variable derivation, variable selection, dimensionality reduction, grid search for hyper parameters, data mining and visualization, model evaluation, strategy analysis etc. This package is designed to make the development of binary classification models (machine learning based models as well as credit scorecard) simpler and faster.
Author: Dongping Fan [aut, cre]
Maintainer: Dongping Fan <fdp@pku.edu.cn>

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More information about creditmodel at CRAN
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Package xfun updated to version 0.15 with previous version 0.14 dated 2020-05-20

Title: Miscellaneous Functions by 'Yihui Xie'
Description: Miscellaneous functions commonly used in other packages maintained by 'Yihui Xie'.
Author: Yihui Xie [aut, cre, cph] (<https://orcid.org/0000-0003-0645-5666>), Wush Wu [ctb], Daijiang Li [ctb], Xianying Tan [ctb], Salim Brüggemann [ctb] (<https://orcid.org/0000-0002-5329-5987>)
Maintainer: Yihui Xie <xie@yihui.name>

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Package pairwiseComparisons updated to version 1.1.1 with previous version 1.0.0 dated 2020-05-29

Title: Multiple Pairwise Comparison Tests
Description: Multiple pairwise comparison tests on tidy data for one-way analysis of variance for both between-subjects and within-subjects designs. Currently, it supports only the most common types of statistical analyses and tests: parametric (Welch's and Student's t-test), nonparametric (Durbin-Conover and Dunn test), robust (Yuen’s trimmed means test), and Bayes Factor (Student's t-test).
Author: Indrajeet Patil [cre, aut, cph] (<https://orcid.org/0000-0003-1995-6531>)
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>

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Package fsbrain updated to version 0.3.0 with previous version 0.2.1 dated 2020-05-27

Title: Managing and Visualizing Brain Surface Data
Description: Provides high-level access to 'FreeSurfer' <http://freesurfer.net/> neuroimaging data on the level of subjects and groups. Load morphometry data, surfaces and brain parcellations based on atlases. Mask data using labels, load data for specific atlas regions only, and visualize data and results directly in 'R'.
Author: Tim Schäfer [aut, cre] (<https://orcid.org/0000-0002-3683-8070>)
Maintainer: Tim Schäfer <ts+code@rcmd.org>

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 fsbrain-0.3.0/fsbrain/man/spread.values.over.hemi.Rd                        |    4 
 fsbrain-0.3.0/fsbrain/man/subject.atlas.agg.Rd                              |    3 
 fsbrain-0.3.0/fsbrain/man/subject.filepath.morph.native.Rd                  |    5 
 fsbrain-0.3.0/fsbrain/man/subject.filepath.morph.standard.Rd                |    8 
 fsbrain-0.3.0/fsbrain/man/subject.volume.Rd                                 |    2 
 fsbrain-0.3.0/fsbrain/man/vdata.split.by.hemi.Rd                            |only
 fsbrain-0.3.0/fsbrain/man/vis.color.on.subject.Rd                           |    2 
 fsbrain-0.3.0/fsbrain/man/vis.coloredmeshes.Rd                              |    2 
 fsbrain-0.3.0/fsbrain/man/vis.coloredmeshes.rotating.Rd                     |   12 
 fsbrain-0.3.0/fsbrain/man/vis.data.on.fsaverage.Rd                          |    6 
 fsbrain-0.3.0/fsbrain/man/vis.data.on.subject.Rd                            |    6 
 fsbrain-0.3.0/fsbrain/man/vis.fs.surface.Rd                                 |only
 fsbrain-0.3.0/fsbrain/man/vis.labeldata.on.subject.Rd                       |    4 
 fsbrain-0.3.0/fsbrain/man/vis.mask.on.subject.Rd                            |    6 
 fsbrain-0.3.0/fsbrain/man/vis.region.values.on.subject.Rd                   |    8 
 fsbrain-0.3.0/fsbrain/man/vis.rotated.coloredmeshes.Rd                      |    8 
 fsbrain-0.3.0/fsbrain/man/vis.subject.annot.Rd                              |    2 
 fsbrain-0.3.0/fsbrain/man/vis.subject.label.Rd                              |    6 
 fsbrain-0.3.0/fsbrain/man/vis.subject.morph.native.Rd                       |    6 
 fsbrain-0.3.0/fsbrain/man/vis.subject.morph.standard.Rd                     |   14 
 fsbrain-0.3.0/fsbrain/man/vis.symmetric.data.on.subject.Rd                  |    4 
 fsbrain-0.3.0/fsbrain/man/vislayout.from.coloredmeshes.Rd                   |    8 
 fsbrain-0.3.0/fsbrain/man/vol.imagestack.Rd                                 |    4 
 fsbrain-0.3.0/fsbrain/man/volvis.lightbox.Rd                                |    2 
 fsbrain-0.3.0/fsbrain/man/volvis.voxels.Rd                                  |    2 
 fsbrain-0.3.0/fsbrain/vignettes/fsbrain.Rmd                                 |    2 
 fsbrain-0.3.0/fsbrain/vignettes/fsbrain_faq.Rmd                             |   61 
 fsbrain-0.3.0/fsbrain/vignettes/fsbrain_vol.Rmd                             |    2 
 118 files changed, 1556 insertions(+), 1457 deletions(-)

More information about fsbrain at CRAN
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Package EnvCpt updated to version 1.1.2 with previous version 1.1.1 dated 2018-09-13

Title: Detection of Structural Changes in Climate and Environment Time Series
Description: Tools for automatic model selection and diagnostics for Climate and Environmental data. In particular the envcpt() function does automatic model selection between a variety of trend, changepoint and autocorrelation models. The envcpt() function should be your first port of call.
Author: Rebecca Killick [aut, cre], Claudie Beaulieu [aut], Simon Taylor [aut], Harjit Hullait [aut]
Maintainer: Rebecca Killick <r.killick@lancs.ac.uk>

Diff between EnvCpt versions 1.1.1 dated 2018-09-13 and 1.1.2 dated 2020-06-21

 DESCRIPTION           |    8 ++++----
 MD5                   |    8 ++++----
 NEWS                  |    6 ++++++
 R/diagnostics.R       |    4 +---
 man/envcpt-package.Rd |    4 ++--
 5 files changed, 17 insertions(+), 13 deletions(-)

More information about EnvCpt at CRAN
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