Sat, 30 Jul 2022

Package RCurl updated to version 1.98-1.8 with previous version 1.98-1.7 dated 2022-06-09

Title: General Network (HTTP/FTP/...) Client Interface for R
Description: A wrapper for 'libcurl' <https://curl.se/libcurl/> Provides functions to allow one to compose general HTTP requests and provides convenient functions to fetch URIs, get & post forms, etc. and process the results returned by the Web server. This provides a great deal of control over the HTTP/FTP/... connection and the form of the request while providing a higher-level interface than is available just using R socket connections. Additionally, the underlying implementation is robust and extensive, supporting FTP/FTPS/TFTP (uploads and downloads), SSL/HTTPS, telnet, dict, ldap, and also supports cookies, redirects, authentication, etc.
Author: CRAN Team [ctb, cre] , Duncan Temple Lang [aut]
Maintainer: CRAN Team <CRAN@r-project.org>

Diff between RCurl versions 1.98-1.7 dated 2022-06-09 and 1.98-1.8 dated 2022-07-30

 DESCRIPTION                  |    6 +++---
 MD5                          |   38 +++++++++++++++++++-------------------
 data/mimeTypeExtensions.rda  |binary
 inst/doc/philosophy.html     |   36 ++++++++++++++++++------------------
 inst/doc/withCookies.html    |   22 +++++++++++-----------
 man/MultiCURLHandle-class.Rd |    2 +-
 man/basicHeaderGatherer.Rd   |    4 ++--
 man/basicTextGatherer.Rd     |   20 ++++++++++----------
 man/binaryBuffer.Rd          |    4 ++--
 man/chunkToLineReader.Rd     |    8 +++++---
 man/curlPerform.Rd           |    8 ++++----
 man/curlSetOpt.Rd            |    4 ++--
 man/dynCurlReader.Rd         |    8 ++++----
 man/getBinaryURL.Rd          |    2 +-
 man/getCurlHandle.Rd         |    6 +++---
 man/getCurlInfo.Rd           |    4 ++--
 man/getFormParams.Rd         |    4 ++--
 man/getURIAsynchronous.Rd    |    6 +++---
 man/getURL.Rd                |   38 +++++++++++++++++++-------------------
 man/url.exists.Rd            |    4 ++--
 20 files changed, 113 insertions(+), 111 deletions(-)

More information about RCurl at CRAN
Permanent link

Wed, 27 Jul 2022

Package MASS updated to version 7.3-58.1 with previous version 7.3-58 dated 2022-07-14

Title: Support Functions and Datasets for Venables and Ripley's MASS
Description: Functions and datasets to support Venables and Ripley, "Modern Applied Statistics with S" (4th edition, 2002).
Author: Brian Ripley [aut, cre, cph], Bill Venables [ctb], Douglas M. Bates [ctb], Kurt Hornik [trl] , Albrecht Gebhardt [trl] , David Firth [ctb]
Maintainer: Brian Ripley <ripley@stats.ox.ac.uk>

Diff between MASS versions 7.3-58 dated 2022-07-14 and 7.3-58.1 dated 2022-07-27

 MASS-7.3-58.1/MASS/ChangeLog       |    7 ++++++-
 MASS-7.3-58.1/MASS/DESCRIPTION     |   12 +++++-------
 MASS-7.3-58.1/MASS/tests/glmmPQL.R |    6 +++++-
 MASS-7.3-58.1/MASS/tests/polr.R    |    2 ++
 MASS-7.3-58.1/MASS/tests/solr.rda  |only
 MASS-7.3-58/MASS/MD5               |only
 6 files changed, 18 insertions(+), 9 deletions(-)

More information about MASS at CRAN
Permanent link

Mon, 25 Jul 2022

Package SIHR updated to version 1.0.0 with previous version 0.2.0 dated 2021-10-07

Title: Statistical Inference in High Dimensional Regression
Description: Inference procedures in the high-dimensional setting for (1) linear functionals in generalized linear regression ('Cai et al.' (2019) <arXiv:1904.12891>, 'Guo et al.' (2020) <arXiv:2012.07133>, 'Cai et al.' (2021)), (2) individual treatment effects in generalized linear regression, (3) quadratic functionals in linear regression ('Guo et al.' (2019) <arXiv:1909.01503>).
Author: Prabrisha Rakshit, Zhenyu Wang, Tony Cai, Zijian Guo
Maintainer: Zijian Guo <zijguo@stat.rutgers.edu>

Diff between SIHR versions 0.2.0 dated 2021-10-07 and 1.0.0 dated 2022-07-25

 SIHR-0.2.0/SIHR/R/GLM_binary.R                |only
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 SIHR-1.0.0/SIHR/R/Projection_Directions.R     |  178 ++---
 SIHR-1.0.0/SIHR/R/QF.R                        |  377 +++++------
 SIHR-1.0.0/SIHR/R/check.R                     |only
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 SIHR-1.0.0/SIHR/README.md                     |  858 +++++++++++---------------
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 39 files changed, 885 insertions(+), 1018 deletions(-)

More information about SIHR at CRAN
Permanent link

Package terra updated to version 1.6-3 with previous version 1.5-34 dated 2022-06-09

Title: Spatial Data Analysis
Description: Methods for spatial data analysis with raster and vector data. Raster methods allow for low-level data manipulation as well as high-level global, local, zonal, and focal computation. The predict and interpolate methods facilitate the use of regression type (interpolation, machine learning) models for spatial prediction, including with satellite remote sensing data. Processing of very large files is supported. See the manual and tutorials on <https://rspatial.org/terra/> to get started. 'terra' is very similar to the 'raster' package; but 'terra' can do more, is easier to use, and it is faster.
Author: Robert J. Hijmans [cre, aut] , Roger Bivand [ctb] , Karl Forner [ctb], Jeroen Ooms [ctb] , Edzer Pebesma [ctb] , Michael D. Sumner [ctb]
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>

Diff between terra versions 1.5-34 dated 2022-06-09 and 1.6-3 dated 2022-07-25

 terra-1.5-34/terra/R/gridDistance.R             |only
 terra-1.5-34/terra/man/subset-vector.Rd         |only
 terra-1.6-3/terra/DESCRIPTION                   |   11 
 terra-1.6-3/terra/MD5                           |  417 ++++++++--------
 terra-1.6-3/terra/NAMESPACE                     |    3 
 terra-1.6-3/terra/NEWS.md                       |   47 +
 terra-1.6-3/terra/R/Agenerics.R                 |   25 
 terra-1.6-3/terra/R/Arith_generics.R            |   91 +--
 terra-1.6-3/terra/R/RGB.R                       |   16 
 terra-1.6-3/terra/R/SpatRasterDataset.R         |   20 
 terra-1.6-3/terra/R/SpatVectorCollection.R      |    8 
 terra-1.6-3/terra/R/Zdeprecated.R               |   17 
 terra-1.6-3/terra/R/aggregate.R                 |   74 +-
 terra-1.6-3/terra/R/animate.R                   |    2 
 terra-1.6-3/terra/R/app.R                       |   36 -
 terra-1.6-3/terra/R/approximate.R               |    6 
 terra-1.6-3/terra/R/arith.R                     |    4 
 terra-1.6-3/terra/R/autocor.R                   |   22 
 terra-1.6-3/terra/R/cells.R                     |   24 
 terra-1.6-3/terra/R/clean.R                     |    2 
 terra-1.6-3/terra/R/click.R                     |   26 
 terra-1.6-3/terra/R/coerce.R                    |  242 +++++----
 terra-1.6-3/terra/R/colors.R                    |   48 +
 terra-1.6-3/terra/R/crosstab.R                  |   10 
 terra-1.6-3/terra/R/crs.R                       |   47 -
 terra-1.6-3/terra/R/deprecated.R                |only
 terra-1.6-3/terra/R/dimensions.R                |   52 -
 terra-1.6-3/terra/R/distance.R                  |   28 -
 terra-1.6-3/terra/R/draw.R                      |   16 
 terra-1.6-3/terra/R/expand.R                    |    4 
 terra-1.6-3/terra/R/extent.R                    |  140 ++---
 terra-1.6-3/terra/R/extract.R                   |   79 +--
 terra-1.6-3/terra/R/focal.R                     |   12 
 terra-1.6-3/terra/R/gcp.R                       |    6 
 terra-1.6-3/terra/R/gdal.R                      |    8 
 terra-1.6-3/terra/R/generics.R                  |  421 +++++++++-------
 terra-1.6-3/terra/R/geom.R                      |  237 +++++++--
 terra-1.6-3/terra/R/hist.R                      |   18 
 terra-1.6-3/terra/R/ifelse.R                    |    8 
 terra-1.6-3/terra/R/image.R                     |    4 
 terra-1.6-3/terra/R/init.R                      |    4 
 terra-1.6-3/terra/R/inset.R                     |   10 
 terra-1.6-3/terra/R/interpolate.R               |    6 
 terra-1.6-3/terra/R/lapp.R                      |   38 +
 terra-1.6-3/terra/R/layerCor.R                  |    2 
 terra-1.6-3/terra/R/levels.R                    |  207 +++----
 terra-1.6-3/terra/R/lines.R                     |    6 
 terra-1.6-3/terra/R/makeVRT.R                   |   40 -
 terra-1.6-3/terra/R/match.R                     |    5 
 terra-1.6-3/terra/R/math.R                      |   14 
 terra-1.6-3/terra/R/merge.R                     |   23 
 terra-1.6-3/terra/R/mergeTime.R                 |   26 
 terra-1.6-3/terra/R/messages.R                  |   10 
 terra-1.6-3/terra/R/names.R                     |   73 +-
 terra-1.6-3/terra/R/ncdf.R                      |   70 +-
 terra-1.6-3/terra/R/options.R                   |   24 
 terra-1.6-3/terra/R/pack.R                      |   62 +-
 terra-1.6-3/terra/R/plot.R                      |   44 -
 terra-1.6-3/terra/R/plot2rasters.R              |    8 
 terra-1.6-3/terra/R/plotExtent.R                |    8 
 terra-1.6-3/terra/R/plotRGB.R                   |   10 
 terra-1.6-3/terra/R/plot_cartogram.R            |    2 
 terra-1.6-3/terra/R/plot_legend.R               |   18 
 terra-1.6-3/terra/R/plot_let.R                  |only
 terra-1.6-3/terra/R/plot_raster.R               |  172 ++++--
 terra-1.6-3/terra/R/plot_scale.R                |   30 -
 terra-1.6-3/terra/R/plot_vector.R               |  131 +++--
 terra-1.6-3/terra/R/predict.R                   |   16 
 terra-1.6-3/terra/R/rapp.R                      |    8 
 terra-1.6-3/terra/R/rast.R                      |  109 ++--
 terra-1.6-3/terra/R/rasterize.R                 |   39 -
 terra-1.6-3/terra/R/read.R                      |   10 
 terra-1.6-3/terra/R/readsvg.R                   |    2 
 terra-1.6-3/terra/R/relate.R                    |   34 -
 terra-1.6-3/terra/R/replace.R                   |  103 ++-
 terra-1.6-3/terra/R/sample.R                    |   89 +--
 terra-1.6-3/terra/R/select.R                    |    6 
 terra-1.6-3/terra/R/selectHigh.R                |    2 
 terra-1.6-3/terra/R/show.R                      |  116 ++--
 terra-1.6-3/terra/R/spatDF.R                    |   80 ++-
 terra-1.6-3/terra/R/spatvec.R                   |   60 +-
 terra-1.6-3/terra/R/subset.R                    |  152 ++++-
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 terra-1.6-3/terra/R/tiles.R                     |    4 
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 terra-1.6-3/terra/R/values.R                    |   97 +--
 terra-1.6-3/terra/R/vect.R                      |  120 ++--
 terra-1.6-3/terra/R/window.R                    |    4 
 terra-1.6-3/terra/R/write.R                     |   20 
 terra-1.6-3/terra/R/zonal.R                     |   96 +++
 terra-1.6-3/terra/R/zoom.R                      |   18 
 terra-1.6-3/terra/R/zzz.R                       |    2 
 terra-1.6-3/terra/inst/tinytest/test_cats.R     |   22 
 terra-1.6-3/terra/inst/tinytest/test_extract.R  |  102 +++
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 terra-1.6-3/terra/src/arith.cpp                 |   62 +-
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 terra-1.6-3/terra/src/distance.cpp              |   10 
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 terra-1.6-3/terra/src/extract.cpp               |  198 +++++--
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 terra-1.6-3/terra/src/focal.cpp                 |   68 +-
 terra-1.6-3/terra/src/gcp.cpp                   |    4 
 terra-1.6-3/terra/src/gdal_algs.cpp             |  166 +++---
 terra-1.6-3/terra/src/gdal_multidimensional.cpp |  138 +++--
 terra-1.6-3/terra/src/gdalio.cpp                |   83 +--
 terra-1.6-3/terra/src/gdalio.h                  |   19 
 terra-1.6-3/terra/src/geos_methods.cpp          |  360 +++++++++----
 terra-1.6-3/terra/src/geos_spat.h               |   17 
 terra-1.6-3/terra/src/geosphere.cpp             |   82 +--
 terra-1.6-3/terra/src/graticule.cpp             |    2 
 terra-1.6-3/terra/src/math_utils.cpp            |    4 
 terra-1.6-3/terra/src/math_utils.h              |    2 
 terra-1.6-3/terra/src/mediancut.cpp             |   17 
 terra-1.6-3/terra/src/memory.cpp                |   14 
 terra-1.6-3/terra/src/ncdf.cpp                  |    2 
 terra-1.6-3/terra/src/ram.cpp                   |   17 
 terra-1.6-3/terra/src/ram.h                     |   17 
 terra-1.6-3/terra/src/raster_methods.cpp        |  625 +++++++++++++++++-------
 terra-1.6-3/terra/src/raster_stats.cpp          |  277 +++++++---
 terra-1.6-3/terra/src/rasterize.cpp             |   98 +--
 terra-1.6-3/terra/src/read.cpp                  |   12 
 terra-1.6-3/terra/src/read_gdal.cpp             |  184 +++----
 terra-1.6-3/terra/src/read_ogr.cpp              |   94 ++-
 terra-1.6-3/terra/src/recycle.h                 |    2 
 terra-1.6-3/terra/src/sample.cpp                |   56 +-
 terra-1.6-3/terra/src/spatBase.cpp              |  123 +++-
 terra-1.6-3/terra/src/spatBase.h                |    2 
 terra-1.6-3/terra/src/spatDataframe.cpp         |  457 +++++++++++++----
 terra-1.6-3/terra/src/spatDataframe.h           |   30 -
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 terra-1.6-3/terra/src/spatFactor.h              |  166 +-----
 terra-1.6-3/terra/src/spatRaster.cpp            |  152 +++--
 terra-1.6-3/terra/src/spatRaster.h              |   34 -
 terra-1.6-3/terra/src/spatRasterMultiple.h      |    2 
 terra-1.6-3/terra/src/spatSources.cpp           |   53 +-
 terra-1.6-3/terra/src/spatTime.cpp              |   24 
 terra-1.6-3/terra/src/spatTime.h                |   31 +
 terra-1.6-3/terra/src/spatVector.cpp            |   83 ++-
 terra-1.6-3/terra/src/spatVector.h              |   45 +
 terra-1.6-3/terra/src/string_utils.cpp          |   10 
 terra-1.6-3/terra/src/string_utils.h            |   16 
 terra-1.6-3/terra/src/vecmath.cpp               |    2 
 terra-1.6-3/terra/src/vecmath.h                 |    3 
 terra-1.6-3/terra/src/vector_methods.cpp        |  168 +++++-
 terra-1.6-3/terra/src/write.cpp                 |   22 
 terra-1.6-3/terra/src/write_gdal.cpp            |  107 ++--
 terra-1.6-3/terra/src/write_ogr.cpp             |   92 ++-
 214 files changed, 6538 insertions(+), 3868 deletions(-)

More information about terra at CRAN
Permanent link

New package raptr with initial version 0.2.1
Package: raptr
Title: Representative and Adequate Prioritization Toolkit in R
Version: 0.2.1
Description: Biodiversity is in crisis. The overarching aim of conservation is to preserve biodiversity patterns and processes. To this end, protected areas are established to buffer species and preserve biodiversity processes. But resources are limited and so protected areas must be cost-effective. This package contains tools to generate plans for protected areas (prioritizations), using spatially explicit targets for biodiversity patterns and processes. To obtain solutions in a feasible amount of time, this package uses the commercial 'Gurobi' software (obtained from <https://www.gurobi.com/>). For more information on using this package, see Hanson et al. (2018) <doi:10.1111/2041-210X.12862>.
Imports: utils, methods, stats, graphics, grDevices, parallel, Matrix (>= 1.4.1), assertthat (>= 0.2.1), boot (>= 1.3.28), PBSmapping (>= 2.73.0), scales (>= 1.2.0), shape (>= 1.4.6), adehabitatHR (>= 0.4.19), RColorBrewer (>= 1.1.3), ggplot2 (>= 3.3.5), plyr (>= 1.8.7), doParallel (>= 1.0.17), rgeos (>= 0.5.9), rgdal (>= 1.5.30), hypervolume (>= 2.0.7), ks (>= 1.13.5), mvtnorm (>= 1.1.3), withr (>= 2.5.0),
Depends: R (>= 3.5.0), sp (>= 1.4.6), raster (>= 3.5.15)
LinkingTo: Rcpp, RcppEigen, BH
LazyData: true
License: GPL-3
Encoding: UTF-8
Language: en-US
URL: https://jeffrey-hanson.com/raptr/, https://github.com/jeffreyhanson/raptr
BugReports: https://github.com/jeffreyhanson/raptr/issues
VignetteBuilder: knitr
Suggests: knitr, roxygen2, rmarkdown, testthat, RgoogleMaps (>= 1.4.5.3), dplyr (>= 1.0.8), vegan (>= 2.6.2), gurobi (>= 8.0.0), gridExtra (>= 2.3), rgl (>= 0.108.3),
SystemRequirements: C++11
NeedsCompilation: yes
Packaged: 2022-07-25 05:58:21 UTC; jeff
Author: Jeffrey O Hanson [aut, cre], Jonathan R Rhodes [aut], Hugh P Possingham [aut], Richard A Fuller [aut]
Maintainer: Jeffrey O Hanson <jeffrey.hanson@uqconnect.edu.au>
Repository: CRAN
Date/Publication: 2022-07-25 14:10:02 UTC

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Package forecast updated to version 8.17.0 with previous version 8.16 dated 2022-01-09

Title: Forecasting Functions for Time Series and Linear Models
Description: Methods and tools for displaying and analysing univariate time series forecasts including exponential smoothing via state space models and automatic ARIMA modelling.
Author: Rob Hyndman [aut, cre, cph] , George Athanasopoulos [aut] , Christoph Bergmeir [aut] , Gabriel Caceres [aut] , Leanne Chhay [aut], Kirill Kuroptev [aut], Mitchell O'Hara-Wild [aut] , Fotios Petropoulos [aut] , Slava Razbash [aut], Earo Wang [aut] , F [...truncated...]
Maintainer: Rob Hyndman <Rob.Hyndman@monash.edu>

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Package rassta updated to version 1.0.4 with previous version 1.0.3 dated 2022-02-25

Title: Raster-Based Spatial Stratification Algorithms
Description: Algorithms for the spatial stratification of landscapes, sampling and modeling of spatially-varying phenomena. These algorithms offer a simple framework for the stratification of geographic space based on raster layers representing landscape factors and/or factor scales. The stratification process follows a hierarchical approach, which is based on first level units (i.e., classification units) and second-level units (i.e., stratification units). Nonparametric techniques allow to measure the correspondence between the geographic space and the landscape configuration represented by the units. These correspondence metrics are useful to define sampling schemes and to model the spatial variability of environmental phenomena. The theoretical background of the algorithms and code examples are presented in Fuentes, Dorantes, and Tipton (2021). <doi:10.31223/X50S57>.
Author: Bryan A. Fuentes [aut, cre] , Minerva J. Dorantes [aut] , John R. Tipton [aut] , Robert J. Hijmans [ctb] , Andrew G. Brown [ctb]
Maintainer: Bryan A. Fuentes <bryandrep@gmail.com>

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Package incubate updated to version 1.2.0 with previous version 1.1.8 dated 2022-05-04

Title: Parametric Time-to-Event Analysis with Variable Incubation Phases
Description: Fit parametric models for time-to-event data that show an initial 'incubation period', i.e., a variable delay phase where the hazard is zero. The delayed Weibull distribution serves as the foundational data model. The specific method of 'MPSE' (maximum product of spacings estimation) is used for parameter estimation. Bootstrap confidence intervals for parameters and significance tests in a two group setting are provided.
Author: Matthias Kuhn [aut, cre]
Maintainer: Matthias Kuhn <matthias.kuhn@tu-dresden.de>

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Package fangs (with last version 0.1.6) was removed from CRAN

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

2022-06-27 0.1.6

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Package caviarpd (with last version 0.2.32) was removed from CRAN

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

2022-07-02 0.2.32
2022-03-21 0.2.28
2021-08-13 0.2.17
2021-06-04 0.2.11

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Package cargo (with last version 0.2.15) was removed from CRAN

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

2022-07-01 0.2.15
2022-06-22 0.2.6
2022-06-18 0.2.5
2022-04-26 0.2.3
2021-08-22 0.1.38
2021-08-14 0.1.37
2021-03-29 0.1.29
2021-03-17 0.1.28
2021-03-09 0.1.19
2021-03-05 0.1.10

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Sun, 24 Jul 2022

Package strex updated to version 1.4.3 with previous version 1.4.2 dated 2021-04-18

Title: Extra String Manipulation Functions
Description: There are some things that I wish were easier with the 'stringr' or 'stringi' packages. The foremost of these is the extraction of numbers from strings. 'stringr' and 'stringi' make you figure out the regular expression for yourself; 'strex' takes care of this for you. There are many other handy functionalities in 'strex'. Contributions to this package are encouraged: it is intended as a miscellany of string manipulation functions that cannot be found in 'stringi' or 'stringr'.
Author: Rory Nolan [aut, cre]
Maintainer: Rory Nolan <rorynoolan@gmail.com>

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Package Rwclust updated to version 0.1.0 with previous version 0.0.1 dated 2022-05-17

Title: Random Walk Clustering on Weighted Graphs
Description: Implements the random walk clustering algorithm for weighted graphs as found in Harel and Koren (2001) <https://link.springer.com/chapter/10.1007/3-540-45294-X_3>.
Author: Carson Sprock [aut, cre]
Maintainer: Carson Sprock <csprock@gmail.com>

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Package ctrdata updated to version 1.10.1 with previous version 1.10.0 dated 2022-07-06

Title: Retrieve and Analyze Clinical Trials in Public Registers
Description: A system for querying, retrieving and analyzing protocol- and results-related information on clinical trials from three public registers, the 'European Union Clinical Trials Register' ('EUCTR', <https://www.clinicaltrialsregister.eu/>), 'ClinicalTrials.gov' ('CTGOV', <https://clinicaltrials.gov/>) and the 'ISRCTN' (<http://www.isrctn.com/>). Trial information is downloaded, converted and stored in a database ('PostgreSQL', 'SQLite' or 'MongoDB'; via package 'nodbi'). Functions are included to identify de-duplicated records, to easily find and extract variables (fields) of interest even from complex nesting as used by the registers, and to update previous queries. The package can be used for meta-analysis and trend-analysis of the design and conduct as well as for results of clinical trials.
Author: Ralf Herold [aut, cre]
Maintainer: Ralf Herold <ralf.herold@mailbox.org>

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Package RJafroc updated to version 2.1.0 with previous version 2.0.1 dated 2020-12-15

Title: Artificial Intelligence Systems and Observer Performance
Description: Analyzing the performance of artificial intelligence (AI) systems/algorithms characterized by a 'search-and-report' strategy. Historically observer performance has dealt with measuring radiologists' performances in search tasks, e.g., searching for lesions in medical images and reporting them, but the implicit location information has been ignored. The implemented methods apply to analyzing the absolute and relative performances of AI systems, comparing AI performance to a group of human readers or optimizing the reporting threshold of an AI system. In addition to performing historical receiver operating receiver operating characteristic (ROC) analysis (localization information ignored), the software also performs free-response receiver operating characteristic (FROC) analysis, where lesion localization information is used. A book using the software has been published: Chakraborty DP: Observer Performance Methods for Diagnostic Imaging - Foundations, Modeling, and Applications with R-Based Examples, Taylor-Francis LLC; 2017. Online updates to this book, which use the software, are at <https://dpc10ster.github.io/RJafrocQuickStart/>, <https://dpc10ster.github.io/RJafrocRocBook/> and at <https://dpc10ster.github.io/RJafrocFrocBook/>. Supported data collection paradigms are the ROC, FROC and the location ROC (LROC). ROC data consists of single ratings per images, where a rating is the perceived confidence level that the image is that of a diseased patient. An ROC curve is a plot of true positive fraction vs. false positive fraction. FROC data consists of a variable number (zero or more) of mark-rating pairs per image, where a mark is the location of a reported suspicious region and the rating is the confidence level that it is a real lesion. LROC data consists of a rating and a location of the most suspicious region, for every image. Four models of observer performance, and curve-fitting software, are implemented: the binormal model (BM), the contaminated binormal model (CBM), the correlated contaminated binormal model (CORCBM), and the radiological search model (RSM). Unlike the binormal model, CBM, CORCBM and RSM predict 'proper' ROC curves that do not inappropriately cross the chance diagonal. Additionally, RSM parameters are related to search performance (not measured in conventional ROC analysis) and classification performance. Search performance refers to finding lesions, i.e., true positives, while simultaneously not finding false positive locations. Classification performance measures the ability to distinguish between true and false positive locations. Knowing these separate performances allows principled optimization of reader or AI system performance. This package supersedes Windows JAFROC (jackknife alternative FROC) software V4.2.1, <https://github.com/dpc10ster/WindowsJafroc>. Package functions are organized as follows. Data file related function names are preceded by 'Df', curve fitting functions by 'Fit', included data sets by 'dataset', plotting functions by 'Plot', significance testing functions by 'St', sample size related functions by 'Ss', data simulation functions by 'Simulate' and utility functions by 'Util'. Implemented are figures of merit (FOMs) for quantifying performance and functions for visualizing empirical or fitted operating characteristics: e.g., ROC, FROC, alternative FROC (AFROC) and weighted AFROC (wAFROC) curves. For fully crossed study designs significance testing of reader-averaged FOM differences between modalities is implemented via either Dorfman-Berbaum-Metz or the Obuchowski-Rockette methods. Also implemented is single treatment analysis, which allows comparison of performance of a group of radiologists to a specified value, or comparison of AI to a group of radiologists interpreting the same cases. Crossed-modality analysis is implemented wherein there are two crossed treatment factors and the aim is to determined performance in each treatment factor averaged over all levels of the second factor. Sample size estimation tools are provided for ROC and FROC studies; these use estimates of the relevant variances from a pilot study to predict required numbers of readers and cases in a pivotal study to achieve the desired power. Utility and data file manipulation functions allow data to be read in any of the currently used input formats, including Excel, and the results of the analysis can be viewed in text or Excel output files. The methods are illustrated with several included datasets from the author's collaborations. This update includes improvements to the code, some as a result of user-reported bugs and new feature requests, and others discovered during ongoing testing and code simplification.
Author: Dev Chakraborty [cre, aut, cph], Peter Phillips [ctb], Xuetong Zhai [aut]
Maintainer: Dev Chakraborty <dpc10ster@gmail.com>

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Package scorecard updated to version 0.3.9 with previous version 0.3.8 dated 2022-07-09

Title: Credit Risk Scorecard
Description: The `scorecard` package makes the development of credit risk scorecard easier and efficient by providing functions for some common tasks, such as data partition, variable selection, woe binning, scorecard scaling, performance evaluation and report generation. These functions can also used in the development of machine learning models. The references including: 1. Refaat, M. (2011, ISBN: 9781447511199). Credit Risk Scorecard: Development and Implementation Using SAS. 2. Siddiqi, N. (2006, ISBN: 9780471754510). Credit risk scorecards. Developing and Implementing Intelligent Credit Scoring.
Author: Shichen Xie [aut, cre]
Maintainer: Shichen Xie <xie@shichen.name>

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Package metrica updated to version 2.0.1 with previous version 2.0.0 dated 2022-07-05

Title: Prediction Performance Metrics
Description: A compilation of more than 80 functions designed to quantitatively and visually evaluate prediction performance of regression (continuous variables) and classification (categorical variables) of point-forecast models (e.g. APSIM, DSSAT, DNDC, supervised Machine Learning). For regression, it includes functions to generate plots (scatter, tiles, density, & Bland-Altman plot), and to estimate error metrics (e.g. MBE, MAE, RMSE), error decomposition (e.g. lack of accuracy-precision), model efficiency (e.g. NSE, E1, KGE), indices of agreement (e.g. d, RAC), goodness of fit (e.g. r, R2), adjusted correlation coefficients (e.g. CCC, dcorr), symmetric regression coefficients (intercept, slope), and mean absolute scaled error (MASE) for time series predictions. For classification (binomial and multinomial), it offers functions to generate and plot confusion matrices, and to estimate performance metrics such as accuracy, precision, recall, specificity, F-score, Cohen's Kappa, G-mean, and many more. For more details visit the vignettes <https://adriancorrendo.github.io/metrica/>.
Author: Adrian A. Correndo [cre, cph] , Adrian A. Correndo [aut] , Luiz H. Moro Rosso [aut] , Rai Schwalbert [aut] , Carlos Hernandez [aut] , Leonardo M. Bastos [aut] , Luciana Nieto [aut] , Dean Holzworth [aut], Ignacio A. Ciampitti [aut]
Maintainer: Adrian A. Correndo <correndo@ksu.edu>

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Sat, 23 Jul 2022

Package orf updated to version 0.1.4 with previous version 0.1.3 dated 2020-01-31

Title: Ordered Random Forests
Description: An implementation of the Ordered Forest estimator as developed in Lechner & Okasa (2019) <arXiv:1907.02436>. The Ordered Forest flexibly estimates the conditional probabilities of models with ordered categorical outcomes (so-called ordered choice models). Additionally to common machine learning algorithms the 'orf' package provides functions for estimating marginal effects as well as statistical inference thereof and thus provides similar output as in standard econometric models for ordered choice. The core forest algorithm relies on the fast C++ forest implementation from the 'ranger' package (Wright & Ziegler, 2017) <arXiv:1508.04409>.
Author: Gabriel Okasa [aut, cre], Michael Lechner [ctb]
Maintainer: Gabriel Okasa <okasa.gabriel@gmail.com>

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Package blsR updated to version 0.3.1 with previous version 0.3.0 dated 2022-04-11

Title: Make Requests from the Bureau of Labor Statistics API
Description: Implements v2 of the B.L.S. API for requests of survey information and time series data through 3-tiered API that allows users to interact with the raw API directly, create queries through a functional interface, and re-shape the data structures returned to fit common uses. The API definition is located at: <https://www.bls.gov/developers/api_signature_v2.htm>.
Author: Guillermo Roditi Dominguez [aut, cre]
Maintainer: Guillermo Roditi Dominguez <guillermo@newriverinvestments.com>

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Package BranchGLM updated to version 1.2.0 with previous version 1.1.3 dated 2022-06-29

Title: Efficient Branch and Bound Variable Selection for GLMs using 'RcppArmadillo'
Description: Performs efficient and scalable glm best subset selection using a novel implementation of a branch and bound algorithm. To speed up the model fitting process, a range of optimization methods are implemented in 'RcppArmadillo'. Parallel computation is available using 'OpenMP'.
Author: Jacob Seedorff [aut, cre]
Maintainer: Jacob Seedorff <jwseedorff@uiowa.edu>

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Package jinjar updated to version 0.3.0 with previous version 0.2.0 dated 2022-06-24

Title: Template Engine Inspired by 'Jinja'
Description: Template engine powered by the 'inja' C++ library. Users write a template document, using syntax inspired by the 'Jinja' Python package, and then render the final document by passing data from R. The template syntax supports features such as variables, loops, conditions and inheritance.
Author: David Hall [aut, cre, cph] , Lars Berscheid [cph] , Niels Lohmann [cph]
Maintainer: David Hall <david.hall.physics@gmail.com>

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Package radiant.multivariate updated to version 1.4.4 with previous version 1.4.1 dated 2021-11-22

Title: Multivariate Menu for Radiant: Business Analytics using R and Shiny
Description: The Radiant Multivariate menu includes interfaces for perceptual mapping, factor analysis, cluster analysis, and conjoint analysis. The application extends the functionality in 'radiant.data'.
Author: Vincent Nijs [aut, cre]
Maintainer: Vincent Nijs <radiant@rady.ucsd.edu>

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Package radiant.model updated to version 1.4.6 with previous version 1.4.4 dated 2022-05-25

Title: Model Menu for Radiant: Business Analytics using R and Shiny
Description: The Radiant Model menu includes interfaces for linear and logistic regression, naive Bayes, neural networks, classification and regression trees, model evaluation, collaborative filtering, decision analysis, and simulation. The application extends the functionality in 'radiant.data'.
Author: Vincent Nijs [aut, cre]
Maintainer: Vincent Nijs <radiant@rady.ucsd.edu>

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Package radiant.design updated to version 1.4.4 with previous version 1.4.1 dated 2021-11-18

Title: Design Menu for Radiant: Business Analytics using R and Shiny
Description: The Radiant Design menu includes interfaces for design of experiments, sampling, and sample size calculation. The application extends the functionality in 'radiant.data'.
Author: Vincent Nijs [aut, cre]
Maintainer: Vincent Nijs <radiant@rady.ucsd.edu>

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Package radiant.basics updated to version 1.4.4 with previous version 1.4.1 dated 2021-11-18

Title: Basics Menu for Radiant: Business Analytics using R and Shiny
Description: The Radiant Basics menu includes interfaces for probability calculation, central limit theorem simulation, comparing means and proportions, goodness-of-fit testing, cross-tabs, and correlation. The application extends the functionality in 'radiant.data'.
Author: Vincent Nijs [aut, cre]
Maintainer: Vincent Nijs <radiant@rady.ucsd.edu>

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Fri, 22 Jul 2022

Package SEMsens updated to version 1.2.5 with previous version 1.0.5 dated 2022-06-22

Title: A Tool for Sensitivity Analysis in Structural Equation Modeling
Description: Perform sensitivity analysis in structural equation modeling using meta-heuristic optimization methods (e.g., ant colony optimization and others). The references for the proposed methods are: (1) Leite, W., & Shen, Z., Marcoulides, K., Fish, C., & Harring, J. (2022). <doi:10.1080/10705511.2021.1881786> (2) Harring, J. R., McNeish, D. M., & Hancock, G. R. (2017) <doi:10.1080/10705511.2018.1506925>; (3) Fisk, C., Harring, J., Shen, Z., Leite, W., Suen, K., & Marcoulides, K. (2022). <doi:10.1177/00131644211073121>; (4) Socha, K., & Dorigo, M. (2008) <doi:10.1016/j.ejor.2006.06.046>. We also thank Dr. Krzysztof Socha for sharing his research on ant colony optimization algorithm with continuous domains and associated R code, which provided the base for the development of this package.
Author: Walter Leite [aut, cre], Zuchao Shen [aut], Charles Fisk [aut], Gail Fish [ctb], YongSeok Lee [ctb], Sanaz Nazari [ctb], Jia Quan [ctb], Eric Wright [ctb], Huibin Zhang [ctb]
Maintainer: Walter Leite <walter.leite@coe.ufl.edu>

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Package kayadata updated to version 1.2.0 with previous version 1.1.0 dated 2022-04-14

Title: Kaya Identity Data for Nations and Regions
Description: Provides data for Kaya identity variables (population, gross domestic product, primary energy consumption, and energy-related CO2 emissions) for the world and for individual nations, and utility functions for looking up data, plotting trends of Kaya variables, and plotting the fuel mix for a given country or region. The Kaya identity (Yoichi Kaya and Keiichi Yokobori, "Environment, Energy, and Economy: Strategies for Sustainability" (United Nations University Press, 1998) and <https://en.wikipedia.org/wiki/Kaya_identity>) expresses a nation's or region's greenhouse gas emissions in terms of its population, per-capita Gross Domestic Product, the energy intensity of its economy, and the carbon-intensity of its energy supply.
Author: Jonathan Gilligan [cre, aut]
Maintainer: Jonathan Gilligan <jonathan.gilligan@vanderbilt.edu>

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Package accessibility updated to version 1.0.0 with previous version 0.1.0 dated 2022-06-30

Title: Transport Accessibility Measures
Description: A set of fast and convenient functions to calculate multiple transport accessibility measures. Given a pre-computed travel cost matrix and a land use dataset (containing the location of jobs, healthcare and population, for example), the package allows one to calculate active and passive accessibility levels using multiple accessibility measures, such as: cumulative opportunities (using either travel cost cutoffs or intervals), minimum travel cost to closest N number of activities, gravity-based (with different decay functions) and different floating catchment area methods.
Author: Rafael H. M. Pereira [aut] , Daniel Herszenhut [aut, cre] , Ipea - Institute for Applied Economic Research [cph, fnd]
Maintainer: Daniel Herszenhut <dhersz@gmail.com>

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Package audubon updated to version 0.3.0 with previous version 0.2.0 dated 2022-05-24

Title: Japanese Text Processing Tools
Description: A collection of Japanese text processing tools for filling Japanese iteration marks, Japanese character type conversions, segmentation by phrase, and text normalization which is based on rules for the 'Sudachi' morphological analyzer and the 'NEologd' (Neologism dictionary for 'MeCab'). These features are specific to Japanese and are not implemented in 'ICU' (International Components for Unicode).
Author: Akiru Kato [cre, aut], Koki Takahashi [cph] , Shuhei Iitsuka [cph] , Taku Kudo [cph]
Maintainer: Akiru Kato <paithiov909@gmail.com>

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Package DemographicTable updated to version 0.1.6 with previous version 0.1.5 dated 2022-06-24

Title: Creating Demographic Table
Description: Functions for creating demographic table with simple summary statistics, with optional comparison(s) over one or more groups. Numeric variables are summarized in means, standard deviations, medians, inter-quartile-ranges (IQR), skewness, Shapiro-Wilk normality test and ranges, and compared using two-sample t-test, Wilcoxon test, ANOVA and/or Kruskal-Wallis test. Logical and factor variables are summarized in counts and percentages and compared using chi-squared test and/or Fisher's exact test.
Author: Tingting Zhan [aut, cre, cph]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>

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Package RprobitB updated to version 1.1.0 with previous version 1.0.0 dated 2021-11-12

Title: Bayesian Probit Choice Modeling
Description: Bayes estimation of probit choice models, both in the cross-sectional and panel setting. The package can analyze binary, multivariate, ordered, and ranked choices, and places a special focus on modeling heterogeneity of choice behavior among deciders. The main functionality includes model fitting via Markov chain Monte Carlo methods, tools for convergence diagnostic, choice data simulation, in-sample and out-of-sample choice prediction, and model selection using information criteria and Bayes factors. The latent class model extension facilitates preference-based decider classification, where the number of latent classes can be inferred via the Dirichlet process or a weight-based updating scheme. This allows for flexible modeling of choice behavior without the need to impose structural constraints. For a reference on the method see Oelschlaeger and Bauer (2021) <https://trid.trb.org/view/1759753>.
Author: Lennart Oelschlaeger [aut, cre] , Dietmar Bauer [aut] , Sebastian Buescher [ctb], Manuel Batram [ctb]
Maintainer: Lennart Oelschlaeger <oelschlaeger.lennart@gmail.com>

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Package future updated to version 1.27.0 with previous version 1.26.1 dated 2022-05-27

Title: Unified Parallel and Distributed Processing in R for Everyone
Description: The purpose of this package is to provide a lightweight and unified Future API for sequential and parallel processing of R expression via futures. The simplest way to evaluate an expression in parallel is to use `x %<-% { expression }` with `plan(multisession)`. This package implements sequential, multicore, multisession, and cluster futures. With these, R expressions can be evaluated on the local machine, in parallel a set of local machines, or distributed on a mix of local and remote machines. Extensions to this package implement additional backends for processing futures via compute cluster schedulers, etc. Because of its unified API, there is no need to modify any code in order switch from sequential on the local machine to, say, distributed processing on a remote compute cluster. Another strength of this package is that global variables and functions are automatically identified and exported as needed, making it straightforward to tweak existing code to make use of futures.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

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Package treePlotArea updated to version 1.1.0 with previous version 1.0.0 dated 2022-07-14

Title: Correction Factors for Tree Plot Areas Intersected by Stand Boundaries
Description: The German national forest inventory uses angle count sampling, a sampling method first published as `Bitterlich, W.: Die Winkelzählmessung. Allgemeine Forst- und Holzwirtschaftliche Zeitung, 58. Jahrg., Folge 11/12 vom Juni 1947` and extended by Grosenbaugh (<https://academic.oup.com/jof/article-abstract/50/1/32/4684174>) as probability proportional to size sampling. When plots are located near stand boundaries, their sizes and hence their probabilities need to be corrected.
Author: Andreas Dominik Cullmann [aut, cre], Bernhard Boesch [ctb], Christoph Fischer [ctb], Gerald Kaendler [ctb]
Maintainer: Andreas Dominik Cullmann <fvafrcu@mailbox.org>

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Package tibble updated to version 3.1.8 with previous version 3.1.7 dated 2022-05-03

Title: Simple Data Frames
Description: Provides a 'tbl_df' class (the 'tibble') with stricter checking and better formatting than the traditional data frame.
Author: Kirill Mueller [aut, cre], Hadley Wickham [aut], Romain Francois [ctb], Jennifer Bryan [ctb], RStudio [cph, fnd]
Maintainer: Kirill Mueller <krlmlr+r@mailbox.org>

Diff between tibble versions 3.1.7 dated 2022-05-03 and 3.1.8 dated 2022-07-22

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Package TestDesign updated to version 1.3.4 with previous version 1.3.3 dated 2022-05-16

Title: Optimal Test Design Approach to Fixed and Adaptive Test Construction
Description: Uses the optimal test design approach by Birnbaum (1968, ISBN:9781593119348) and van der Linden (2018) <doi:10.1201/9781315117430> to construct fixed, adaptive, and parallel tests. Supports the following mixed-integer programming (MIP) solver packages: 'lpsymphony', 'Rsymphony', 'gurobi', 'lpSolve', and 'Rglpk'. The 'gurobi' package is not available from CRAN; see <https://www.gurobi.com/downloads/>.
Author: Seung W. Choi [aut, cre] , Sangdon Lim [aut]
Maintainer: Seung W. Choi <schoi@austin.utexas.edu>

Diff between TestDesign versions 1.3.3 dated 2022-05-16 and 1.3.4 dated 2022-07-22

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Package oceanic updated to version 0.1.4 with previous version 0.1.3 dated 2022-03-22

Title: Location Identify Tool
Description: Determine the sea area where the fishing boat operates. The latitude and longitude of geographic coordinates are used to match oceanic areas and economic sea areas. You can plot the distribution map with dotplot() function. Please refer to Flanders Marine Institute (2020) <doi:10.14284/403>.
Author: shiao chih hao [aut, cre, ctb], chang shu ting [aut, ctb]
Maintainer: shiao chih hao <chihhao@ofdc.org.tw>

Diff between oceanic versions 0.1.3 dated 2022-03-22 and 0.1.4 dated 2022-07-22

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 MD5               |   16 +++++++++++-----
 NAMESPACE         |   32 +++++++++++++++++---------------
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More information about oceanic at CRAN
Permanent link

Thu, 21 Jul 2022

Package Ecfun updated to version 0.3-0 with previous version 0.2-6 dated 2022-06-15

Title: Functions for 'Ecdat'
Description: Functions and vignettes to update data sets in 'Ecdat' and to create, manipulate, plot, and analyze those and similar data sets.
Author: Spencer Graves <spencer.graves@effectivedefense.org>
Maintainer: Spencer Graves <spencer.graves@effectivedefense.org>

Diff between Ecfun versions 0.2-6 dated 2022-06-15 and 0.3-0 dated 2022-07-21

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Package visvow updated to version 1.3.5 with previous version 1.3.4 dated 2022-03-25

Title: Visible Vowels: Visualization of Vowel Variation
Description: Visualizes vowel variation in f0, F1, F2, F3 and duration.
Author: Wilbert Heeringa, Hans Van de Velde
Maintainer: Wilbert Heeringa <wjheeringa@gmail.com>

Diff between visvow versions 1.3.4 dated 2022-03-25 and 1.3.5 dated 2022-07-21

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New package video with initial version 0.1.0
Package: video
Title: 'Shiny' Extension of 'video.js'
Version: 0.1.0
Description: Video interactivity within 'shiny' applications using 'video.js'. Enables the status of the video to be sent from the UI to the server, and allows events such as playing and pausing the video to be triggered from the server.
License: Apache License (>= 2)
URL: https://github.com/ashbaldry/video, https://github.com/videojs/video.js
BugReports: https://github.com/ashbaldry/video/issues
Encoding: UTF-8
Depends: R (>= 2.10)
Imports: shiny, htmlwidgets, jsonlite
Suggests: rmarkdown, knitr, shinytest2, globals, testthat (>= 3.0.0)
Language: en-GB
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-07-21 17:11:08 UTC; arbal
Author: Ashley Baldry [aut, cre], Steve Heffernan [aut]
Maintainer: Ashley Baldry <arbaldry91@gmail.com>
Repository: CRAN
Date/Publication: 2022-07-21 17:50:02 UTC

More information about video at CRAN
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New package rGV with initial version 0.0.1
Package: rGV
Version: 0.0.1
Date: 2022-07-21
Title: Analysis of Continuous Glucose Monitor Data
Author: Evan Olawsky [aut, cre], Yuan Zhang [ctb], Lynn Eberly [ctb]
Maintainer: Evan Olawsky <evanolawsky@gmail.com>
Depends: R (>= 3.2.0), chron
Description: Reads in continuous glucose monitor data of many different formats, calculates a host of glycemic variability metrics, and plots glucose over time.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
Imports: pastecs, zoo
NeedsCompilation: no
Packaged: 2022-07-21 15:50:48 UTC; overlord
Repository: CRAN
Date/Publication: 2022-07-21 17:40:02 UTC

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New package netcom with initial version 2.1.6
Package: netcom
Title: NETwork COMparison Inference
Version: 2.1.6
Date: 2022-7-19
Description: Infer system functioning with empirical NETwork COMparisons. These methods are part of a growing paradigm in network science that uses relative comparisons of networks to infer mechanistic classifications and predict systemic interventions. They have been developed and applied in Langendorf and Burgess (2021) <doi:10.1038/s41598-021-99251-7>, Langendorf (2020) <doi:10.1201/9781351190831-6>, and Langendorf and Goldberg (2019) <arXiv:1912.12551>.
URL: https://github.com/langendorfr/netcom
Repository: CRAN
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.1.0)
Imports: stats, dplyr, tibble, clue, expm, igraph, Matrix, pdist, pracma, vegan, magrittr, foreach, parallel, doParallel, optimx, GenSA, rlang, ggfortify, ggplot2, ggraph, reshape2
Suggests: rmarkdown, knitr, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-07-21 16:08:26 UTC; ryan
Author: Ryan Langendorf [aut, cre], Debra Goldberg [ctb], Matthew Burgess [ctb]
Maintainer: Ryan Langendorf <ryan.langendorf@colorado.edu>
Date/Publication: 2022-07-21 17:40:06 UTC

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New package howler with initial version 0.2.0
Package: howler
Title: 'Shiny' Extension of 'howler.js'
Version: 0.2.0
Description: Audio interactivity within 'shiny' applications using 'howler.js'. Enables the status of the audio player to be sent from the UI to the server, and events such as playing and pausing the audio can be triggered from the server.
License: MIT + file LICENSE
URL: https://github.com/ashbaldry/howler, https://github.com/goldfire/howler.js
BugReports: https://github.com/ashbaldry/howler/issues
Encoding: UTF-8
Imports: shiny, htmlwidgets
Suggests: rmarkdown, knitr, shinytest2, globals, testthat (>= 3.0.0)
Language: en-GB
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-07-21 17:06:04 UTC; arbal
Author: Ashley Baldry [aut, cre], James Simpson [aut]
Maintainer: Ashley Baldry <arbaldry91@gmail.com>
Repository: CRAN
Date/Publication: 2022-07-21 17:50:05 UTC

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Package dm updated to version 1.0.0 with previous version 0.3.0 dated 2022-07-06

Title: Relational Data Models
Description: Provides tools for working with multiple related tables, stored as data frames or in a relational database. Multiple tables (data and metadata) are stored in a compound object, which can then be manipulated with a pipe-friendly syntax.
Author: Tobias Schieferdecker [aut], Kirill Mueller [aut, cre] , Antoine Fabri [ctb], Darko Bergant [aut], Katharina Brunner [ctb], James Wondrasek [ctb], Indrajeet Patil [ctb] , Maelle Salmon [ctb] , energie360° AG [fnd], cynkra GmbH [fnd, cph]
Maintainer: Kirill Mueller <krlmlr+r@mailbox.org>

Diff between dm versions 0.3.0 dated 2022-07-06 and 1.0.0 dated 2022-07-21

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 dm-1.0.0/dm/R/select-tbl.R                                          |   10 
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 dm-1.0.0/dm/R/validate.R                                            |   12 
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 dm-1.0.0/dm/R/zzx-deprecated.R                                      |  203 ++
 dm-1.0.0/dm/R/zzz.R                                                 |    2 
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 dm-1.0.0/dm/tests/testthat/_snaps/filter-dm.md                      |  122 +
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 dm-1.0.0/dm/tests/testthat/test-primary-keys.R                      |    2 
 dm-1.0.0/dm/tests/testthat/test-rows-dm.R                           |    3 
 dm-1.0.0/dm/tests/testthat/test-tidyr.R                             |   32 
 dm-1.0.0/dm/tests/testthat/test-upgrade.R                           |   30 
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 dm-1.0.0/dm/tests/testthat/test-waldo.R                             |   33 
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 261 files changed, 6500 insertions(+), 7344 deletions(-)

More information about dm at CRAN
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Package rebmix updated to version 2.14.1 with previous version 2.14.0 dated 2022-02-02

Title: Finite Mixture Modeling, Clustering & Classification
Description: Random univariate and multivariate finite mixture model generation, estimation, clustering, latent class analysis and classification. Variables can be continuous, discrete, independent or dependent and may follow normal, lognormal, Weibull, gamma, Gumbel, binomial, Poisson, Dirac, uniform or circular von Mises parametric families.
Author: Marko Nagode [aut, cre] , Branislav Panic [ctb] , Jernej Klemenc [ctb] , Simon Oman [ctb]
Maintainer: Marko Nagode <marko.nagode@fs.uni-lj.si>

Diff between rebmix versions 2.14.0 dated 2022-02-02 and 2.14.1 dated 2022-07-21

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 rebmix-2.14.1/rebmix/R/AllClasses.R               |  280 ++
 rebmix-2.14.1/rebmix/R/AllGenerics.R              |   33 
 rebmix-2.14.1/rebmix/R/EMMIX.R                    |   54 
 rebmix-2.14.1/rebmix/R/IC.R                       |  415 ++--
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 rebmix-2.14.1/rebmix/R/REBMIX.R                   |  392 ++-
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 rebmix-2.14.1/rebmix/src/Rrebmix.cpp              | 1311 +++++++++---
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 rebmix-2.14.1/rebmix/src/emf.cpp                  |  233 +-
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 rebmix-2.14.1/rebmix/src/rebmixf.cpp              | 2253 ++++++++++++++++------
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Package R.cache updated to version 0.16.0 with previous version 0.15.0 dated 2021-04-30

Title: Fast and Light-Weight Caching (Memoization) of Objects and Results to Speed Up Computations
Description: Memoization can be used to speed up repetitive and computational expensive function calls. The first time a function that implements memoization is called the results are stored in a cache memory. The next time the function is called with the same set of parameters, the results are momentarily retrieved from the cache avoiding repeating the calculations. With this package, any R object can be cached in a key-value storage where the key can be an arbitrary set of R objects. The cache memory is persistent (on the file system).
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between R.cache versions 0.15.0 dated 2021-04-30 and 0.16.0 dated 2022-07-21

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Package PhaseTypeR updated to version 1.0.4 with previous version 1.0.3 dated 2022-07-14

Title: General-Purpose Phase-Type Functions
Description: General implementation of core function from phase-type theory. 'PhaseTypeR' can be used to model continuous and discrete phase-type distributions, both univariate and multivariate. The package includes functions for outputting the mean and (co)variance of phase-type distributions; their density, probability and quantile functions; functions for random draws; functions for reward-transformation; and functions for plotting the distributions as networks. For more information on these functions please refer to Bladt and Nielsen (2017, ISBN: 978-1-4939-8377-3) and Campillo Navarro (2019) <https://orbit.dtu.dk/en/publications/order-statistics-and-multivariate-discrete-phase-type-distributio>.
Author: Iker Rivas-Gonzalez [aut, cre] , Asger Hobolth [aut], Lars Noervang Andersen [aut], Colin Guetemme [aut]
Maintainer: Iker Rivas-Gonzalez <ikerrivas96@gmail.com>

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Package Rforestry updated to version 0.9.0.116 with previous version 0.9.0.95 dated 2022-03-09

Title: Random Forests, Linear Trees, and Gradient Boosting for Inference and Interpretability
Description: Provides fast implementations of Honest Random Forests, Gradient Boosting, and Linear Random Forests, with an emphasis on inference and interpretability. Additionally contains methods for variable importance, out-of-bag prediction, regression monotonicity, and several methods for missing data imputation. Soren R. Kunzel, Theo F. Saarinen, Edward W. Liu, Jasjeet S. Sekhon (2019) <arXiv:1906.06463>.
Author: Soeren Kuenzel [aut], Theo Saarinen [aut, cre], Simon Walter [aut], Edward Liu [aut], Allen Tang [aut], Jasjeet Sekhon [aut]
Maintainer: Theo Saarinen <theo_s@berkeley.edu>

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Package heuristicsmineR updated to version 0.2.7 with previous version 0.2.6 dated 2022-07-14

Title: Discovery of Process Models with the Heuristics Miner
Description: Provides the heuristics miner algorithm for process discovery as proposed by Weijters et al. (2011) <doi:10.1109/CIDM.2011.5949453>. The algorithm builds a causal net from an event log created with the 'bupaR' package. Event logs are a set of ordered sequences of events for which 'bupaR' provides the S3 class eventlog(). The discovered causal nets can be visualised as 'htmlwidgets' and it is possible to annotate them with the occurrence frequency or processing and waiting time of process activities.
Author: Felix Mannhardt [aut, cre]
Maintainer: Felix Mannhardt <f.mannhardt@tue.nl>

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Package fossilbrush updated to version 1.0.3 with previous version 1.0.2 dated 2022-05-23

Title: Automated Cleaning of Fossil Occurrence Data
Description: Functions to automate the detection and resolution of taxonomic and stratigraphic errors in fossil occurrence datasets. Functions were developed using data from the Paleobiology Database.
Author: Joe Flannery-Sutherland [aut, cre] , Nussaïbah Raja-Schoob [aut, ctb], Ádam Kocsis [aut, ctb], Wolfgang Kiessling [aut]
Maintainer: Joe Flannery-Sutherland <jf15558@bristol.ac.uk>

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Package ptools updated to version 1.0.1 with previous version 1.0.0 dated 2022-07-16

Title: Tools for Poisson Data
Description: Functions used for analyzing count data, mostly crime counts. Includes checking difference in two Poisson counts (e-test), checking the fit for a Poisson distribution, small sample tests for counts in bins, Weighted Displacement Difference test (Wheeler and Ratcliffe, 2018) <doi:10.1186/s40163-018-0085-5>, to evaluate crime changes over time in treated/control areas. Additionally includes functions for aggregating spatial data and spatial feature engineering.
Author: Andrew Wheeler [aut, cre]
Maintainer: Andrew Wheeler <apwheele@gmail.com>

Diff between ptools versions 1.0.0 dated 2022-07-16 and 1.0.1 dated 2022-07-21

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Package messydates updated to version 0.3.1 with previous version 0.3.0 dated 2022-06-02

Title: A Flexible Class for Messy Dates
Description: Contains a set of tools for constructing and coercing into and from the "mdate" class. This date class implements ISO 8601-2:2019(E) and allows regular dates to be annotated to express unspecified date components, approximate or uncertain date components, date ranges, and sets of dates. This is useful for describing and analysing temporal information, whether historical or recent, where date precision may vary.
Author: James Hollway [cre, aut, ctb] , Henrique Sposito [ctb] , Jael Tan [ctb]
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>

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Package datardis updated to version 0.0.3 with previous version 0.0.2 dated 2021-11-15

Title: Data from the Doctor Who Series
Description: Explore data related to the Doctor Who TV series.
Author: Jonathan Kitt [aut, cre]
Maintainer: Jonathan Kitt <jonathan.kitt@protonmail.com>

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Package spant updated to version 2.1.0 with previous version 2.0.0 dated 2022-06-22

Title: MR Spectroscopy Analysis Tools
Description: Tools for reading, visualising and processing Magnetic Resonance Spectroscopy data. The package includes methods for spectral fitting: Wilson (2021) <DOI:10.1002/mrm.28385> and spectral alignment: Wilson (2018) <DOI:10.1002/mrm.27605>.
Author: Martin Wilson [cre, aut] , Yong Wang [ctb], John Muschelli [ctb]
Maintainer: Martin Wilson <martin@pipegrep.co.uk>

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Package Rgff updated to version 0.1.3 with previous version 0.1.2 dated 2022-06-27

Title: R Utilities for GFF Files
Description: R utilities for gff files, either general feature format (GFF3) or gene transfer format (GTF) formatted files. This package includes functions for producing summary stats, check for consistency and sorting errors, conversion from GTF to GFF3 format, file sorting, visualization and plotting of feature hierarchy, and exporting user defined feature subsets to SAF format. This tool was developed by the BioinfoGP core facility at CNB-CSIC.
Author: Juan Antonio Garcia-Martin [cre, aut] , Juan Carlos Oliveros [aut, ctb] , Rafael Torres-Perez [aut, ctb]
Maintainer: Juan Antonio Garcia-Martin <ja.garcia@cnb.csic.es>

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Package mlr3 updated to version 0.13.4 with previous version 0.13.3 dated 2022-03-01

Title: Machine Learning in R - Next Generation
Description: Efficient, object-oriented programming on the building blocks of machine learning. Provides 'R6' objects for tasks, learners, resamplings, and measures. The package is geared towards scalability and larger datasets by supporting parallelization and out-of-memory data-backends like databases. While 'mlr3' focuses on the core computational operations, add-on packages provide additional functionality.
Author: Michel Lang [cre, aut] , Bernd Bischl [aut] , Jakob Richter [aut] , Patrick Schratz [aut] , Giuseppe Casalicchio [ctb] , Stefan Coors [ctb] , Quay Au [ctb] , Martin Binder [aut], Marc Becker [ctb]
Maintainer: Michel Lang <michellang@gmail.com>

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Package stars updated to version 0.5-6 with previous version 0.5-5 dated 2021-12-18

Title: Spatiotemporal Arrays, Raster and Vector Data Cubes
Description: Reading, manipulating, writing and plotting spatiotemporal arrays (raster and vector data cubes) in 'R', using 'GDAL' bindings provided by 'sf', and 'NetCDF' bindings by 'ncmeta' and 'RNetCDF'.
Author: Edzer Pebesma [aut, cre] , Michael Sumner [ctb] , Etienne Racine [ctb], Adriano Fantini [ctb], David Blodgett [ctb]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

Diff between stars versions 0.5-5 dated 2021-12-18 and 0.5-6 dated 2022-07-21

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New package robustmeta with initial version 1.1-1
Package: robustmeta
Title: Robust Inference for Meta-Analysis with Influential Outlying Studies
Version: 1.1-1
Date: 2022-07-09
Maintainer: Hisashi Noma <noma@ism.ac.jp>
Description: Robust inference methods for fixed-effect and random-effects models of meta-analysis are implementable. The robust methods are developed using the density power divergence that is a robust estimating criterion developed in machine learning theory, and can effectively circumvent biases and misleading results caused by influential outliers. The density power divergence is originally introduced by Basu et al. (1998) <doi:10.1093/biomet/85.3.549>, and the meta-analysis methods are developed by Noma et al. (2022) <forthcoming>.
Depends: R (>= 3.5.0)
Imports: stats, metafor
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2022-07-21 09:34:00 UTC; Hisashi
Author: Hisashi Noma [aut, cre], Shonosuke Sugasawa [aut], Toshi A. Furukawa [aut]
Repository: CRAN
Date/Publication: 2022-07-21 12:50:02 UTC

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New package rgrass with initial version 0.3-2
Package: rgrass
Version: 0.3-2
Date: 2022-07-21
Title: Interface Between 'GRASS' Geographical Information System and 'R'
Description: An interface between the 'GRASS' geographical information system ('GIS') and 'R', based on starting 'R' from within the 'GRASS' 'GIS' environment, or running a free-standing 'R' session in a temporary 'GRASS' location; the package provides facilities for using all 'GRASS' commands from the 'R' command line. The original interface package for 'GRASS 5' (2000-2010) is described in Bivand (2000) <doi:10.1016/S0098-3004(00)00057-1> and Bivand (2001) <https://www.r-project.org/conferences/DSC-2001/Proceedings/Bivand.pdf>. This was succeeded by 'spgrass6' for 'GRASS 6' (2006-2016) and 'rgrass7' for 'GRASS 7' (2015-present). The 'rgrass' package modernizes the interface for 'GRASS 8' while still permitting the use of 'GRASS 7'.
Depends: R (>= 3.3.0), XML
Imports: stats, utils, methods
Suggests: terra, sp (>= 0.9), knitr, rmarkdown, sf, stars, raster
VignetteBuilder: knitr
SystemRequirements: GRASS (>= 7)
License: GPL (>= 2)
URL: https://rsbivand.github.io/rgrass/, https://grass.osgeo.org/, https://github.com/rsbivand/rgrass, https://lists.osgeo.org/mailman/listinfo/grass-stats
BugReports: https://github.com/rsbivand/rgrass/issues/
NeedsCompilation: no
Packaged: 2022-07-21 09:19:06 UTC; rsb
Author: Roger Bivand [cre, aut] , Rainer Krug [ctb] , Markus Neteler [ctb] , Sebastian Jeworutzki [ctb] , Floris Vanderhaeghe [ctb]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>
Repository: CRAN
Date/Publication: 2022-07-21 12:50:05 UTC

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New package normalizeH with initial version 1.0.0
Package: normalizeH
Version: 1.0.0
Date: 2022-07-20
Title: Normalize Hadamard Matrix
Author: Baidya Nath Mandal [aut, cre]
Maintainer: Baidya Nath Mandal <mandal.stat@gmail.com>
Depends: R (>= 4.2.0)
Suggests: HadamardR
Description: Normalize a given Hadamard matrix. A Hadamard matrix is said to be normalized when its first row and first column entries are all 1, see Hedayat, A. and Wallis, W. D. (1978) "Hadamard matrices and their applications. The Annals of Statistics, 1184-1238." <doi:10.1214/aos/1176344370>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2022-07-20 05:27:10 UTC; b
Repository: CRAN
Date/Publication: 2022-07-21 12:30:02 UTC

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New package htmcglm with initial version 0.0.1
Package: htmcglm
Title: Hypothesis Testing for McGLMs
Version: 0.0.1
Author: Lineu Alberto Cavazani de Freitas [aut, cre], Wagner Hugo Bonat [ctb], Walmes Marques Zeviani [ctb]
Maintainer: Lineu Alberto Cavazani de Freitas <lineuacf@gmail.com>
Description: Performs hypothesis testing for multivariate covariance generalized linear models (McGLMs). McGLM is a general framework for non-normal multivariate data analysis, designed to handle multivariate response variables, along with a wide range of temporal and spatial correlation structures defined in terms of a covariance link function combined with a matrix linear predictor involving known matrices. The models take non-normality into account in the conventional way by means of a variance function, and the mean structure is modelled by means of a link function and a linear predictor. The models are fitted using an efficient Newton scoring algorithm based on quasi-likelihood and Pearson estimating functions, using only second-moment assumptions. This provides a unified approach to a wide variety of different types of response variables and covariance structures, including multivariate extensions of repeated measures, time series, longitudinal, spatial and spatio-temporal structures. The package offers a user-friendly interface for fitting McGLMs similar to the glm() R function.
License: MIT + file LICENSE
URL: https://github.com/lineu96/htmcglm
Encoding: UTF-8
Imports: stats, doBy, Matrix, mcglm, sjmisc, stringr
NeedsCompilation: no
Packaged: 2022-07-20 20:13:15 UTC; lacf14
Repository: CRAN
Date/Publication: 2022-07-21 12:10:06 UTC

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New package ensModelVis with initial version 0.1.0
Package: ensModelVis
Title: Visualisations for Model Ensembles
Version: 0.1.0
Description: Displays for model fits of multiple models and their ensembles. For classification models, the plots are heatmaps, for regression, scatterplots.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, forcats, ggplot2, magrittr, rlang, tidyr
URL: https://github.com/domijan/ensModelVis
BugReports: https://github.com/domijan/ensModelVis/issues
Suggests: discrim, glmnet, kernlab, knitr, MASS, nnet, ranger, rmarkdown, stacks, stringr, tidymodels
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-07-21 06:36:40 UTC; katarina
Author: Katarina Domijan [aut, cre]
Maintainer: Katarina Domijan <domijank@tcd.ie>
Repository: CRAN
Date/Publication: 2022-07-21 12:40:02 UTC

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New package connectapi with initial version 0.1.1.1
Package: connectapi
Title: Utilities for Interacting with the 'RStudio Connect' Server API
Version: 0.1.1.1
Description: Provides a helpful 'R6' class and methods for interacting with the 'RStudio Connect' Server API along with some meaningful utility functions for regular tasks. API documentation varies by 'RStudio Connect' installation and version, but the latest documentation is also hosted publicly at <https://docs.rstudio.com/connect/api/>.
License: MIT + file LICENSE
URL: https://github.com/rstudio/connectapi
Imports: config, dplyr, fs, glue, httr, lifecycle, magrittr, progress, purrr, R6, rlang (>= 0.4.2), tibble, uuid, vctrs (>= 0.3.0), yaml, bit64, jsonlite
Suggests: crayon, flexdashboard, ggplot2, gridExtra, htmltools, knitr, lubridate, processx, rmarkdown, rprojroot, spelling, testthat, rsconnect, webshot2, covr, mockery, devtools
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2022-07-20 20:50:15 UTC; r124525
Author: Sean Lopp [aut], Cole Arendt [aut, cre], RStudio PBC [cph, fnd]
Maintainer: Cole Arendt <cole@rstudio.com>
Repository: CRAN
Date/Publication: 2022-07-21 12:20:02 UTC

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New package amapro with initial version 0.1.0
Package: amapro
Title: Thin Wrapper for Mapping Library 'AMap' by 'AutoNavi'
Date: 2022-07-20
Version: 0.1.0
Author: Larry Helgason [aut, cre, cph]
Maintainer: Larry Helgason <larry@helgasoft.com>
Description: Build and control interactive 2D and 3D maps with 'R/Shiny'. Lean set of powerful commands wrapping native calls to 'AMap' <https://lbs.amap.com/api/jsapi-v2/summary/>. Deliver rich mapping functionality with minimal overhead.
URL: https://github.com/helgasoft/amapro/
BugReports: https://github.com/helgasoft/amapro/issues/
Depends: R (>= 4.1.0)
Imports: htmlwidgets, shiny (>= 1.7.0), tcltk (>= 4.2.0)
Suggests: knitr, rmarkdown
License: Apache License (>= 2)
Encoding: UTF-8
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-07-21 03:31:33 UTC; gugu
Repository: CRAN
Date/Publication: 2022-07-21 12:30:04 UTC

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Package AdaptFitOS updated to version 0.69 with previous version 0.68 dated 2022-02-25

Title: Adaptive Semiparametric Additive Regression with Simultaneous Confidence Bands and Specification Tests
Description: Fits semiparametric additive regression models with spatially adaptive penalized splines and computes simultaneous confidence bands and associated specification (lack-of-fit) tests. Simultaneous confidence bands cover the entire curve with a prescribed level of confidence and allow us to assess the estimation uncertainty for the whole curve. In contrast to pointwise confidence bands, they permit statements about the statistical significance of certain features (e.g. bumps) in the underlying curve.The method allows for handling of spatially heterogeneous functions and their derivatives as well as heteroscedasticity in the data. See Wiesenfarth et al. (2012) <doi:10.1080/01621459.2012.682809>.
Author: Manuel Wiesenfarth [aut, cre], Tatyana Krivobokova [aut], Matt Wand [ctb] , Catherine Loader [cph, ctb] , Jiayang Sun [cph, ctb] , Lucent Technologies [cph]
Maintainer: Manuel Wiesenfarth <m.wiesenfarth@dkfz.de>

Diff between AdaptFitOS versions 0.68 dated 2022-02-25 and 0.69 dated 2022-07-21

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 MD5               |    8 ++++----
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 5 files changed, 12 insertions(+), 12 deletions(-)

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Package parallelly updated to version 1.32.1 with previous version 1.32.0 dated 2022-06-07

Title: Enhancing the 'parallel' Package
Description: Utility functions that enhance the 'parallel' package and support the built-in parallel backends of the 'future' package. For example, availableCores() gives the number of CPU cores available to your R process as given by the operating system, 'cgroups' and Linux containers, R options, and environment variables, including those set by job schedulers on high-performance compute clusters. If none is set, it will fall back to parallel::detectCores(). Another example is makeClusterPSOCK(), which is backward compatible with parallel::makePSOCKcluster() while doing a better job in setting up remote cluster workers without the need for configuring the firewall to do port-forwarding to your local computer.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between parallelly versions 1.32.0 dated 2022-06-07 and 1.32.1 dated 2022-07-21

 DESCRIPTION               |    8 ++++----
 MD5                       |   14 +++++++-------
 NEWS.md                   |   10 ++++++++++
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 man/availableCores.Rd     |    6 +++---
 man/parallelly.options.Rd |   20 ++++++++++----------
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New package nextGenShinyApps with initial version 1.5
Package: nextGenShinyApps
Title: Advanced Tools for Building the Next Generation of 'Shiny' Applications and Dashboards
Version: 1.5
Author: Obinna Obianom
Maintainer: Obinna Obianom <idonshayo@gmail.com>
Description: Responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts and style sheets are based on 'jQuery' <https://jquery.com/> and 'Bootstrap' <https://getbootstrap.com/>.
License: MIT + file LICENSE
URL: https://github.com/oobianom/nextGenShinyApps
BugReports: https://github.com/oobianom/nextGenShinyApps
Depends: R (>= 3.4)
Imports: utils, shiny, htmltools
Suggests: rmarkdown, knitr, qpdf
Encoding: UTF-8
VignetteBuilder: knitr
Language: en-US
LazyData: false
NeedsCompilation: no
Packaged: 2022-07-20 17:15:30 UTC; in198
Repository: CRAN
Date/Publication: 2022-07-21 12:00:02 UTC

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Package mirai updated to version 0.5.2 with previous version 0.5.0 dated 2022-06-21

Title: Minimalist Async Evaluation Framework for R
Description: Extremely simple and lightweight method for concurrent / parallel code execution, built on 'nanonext' and 'NNG' (Nanomsg Next Gen) technology.
Author: Charlie Gao [aut, cre] , Hibiki AI Limited [cph]
Maintainer: Charlie Gao <charlie.gao@shikokuchuo.net>

Diff between mirai versions 0.5.0 dated 2022-06-21 and 0.5.2 dated 2022-07-21

 DESCRIPTION       |   10 +++++-----
 MD5               |   10 +++++-----
 NAMESPACE         |    3 ++-
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Package fdaMocca updated to version 0.1-1 with previous version 0.1-0 dated 2021-10-21

Title: Model-Based Clustering for Functional Data with Covariates
Description: Routines for model-based functional cluster analysis for functional data with optional covariates. The idea is to cluster functional subjects (often called functional objects) into homogenous groups by using spline smoothers (for functional data) together with scalar covariates. The spline coefficients and the covariates are modelled as a multivariate Gaussian mixture model, where the number of mixtures corresponds to the number of clusters. The parameters of the model are estimated by maximizing the observed mixture likelihood via an EM algorithm (Arnqvist and Sjöstedt de Luna, 2019) <arXiv:1904.10265>. The clustering method is used to analyze annual lake sediment from lake Kassjön (Northern Sweden) which cover more than 6400 years and can be seen as historical records of weather and climate.
Author: Natalya Pya Arnqvist[aut, cre], Per Arnqvist [aut, cre], Sara Sjoestedt de Luna [aut]
Maintainer: Natalya Pya Arnqvist <nat.pya@gmail.com>

Diff between fdaMocca versions 0.1-0 dated 2021-10-21 and 0.1-1 dated 2022-07-21

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New package EnrichIntersect with initial version 0.1
Package: EnrichIntersect
Title: Enrichment Analysis and Intersecting Sankey Diagram
Version: 0.1
Date: 2022-07-20
Description: A flexible tool for enrichment analysis based on user-defined sets is provided. It allows users to perform over-representation analysis of the custom sets among any specified ranked feature list, hence making enrichment analysis applicable to various types of data from different scientific fields. 'EnrichIntersect' also enables an interactive means to visualize identified associations based on, for example, the mix-lasso model (Zhao et al. (2022) <doi:10.1016/j.isci.2022.104767>) or similar methods.
License: MIT + file LICENSE
Depends: R (>= 4.0)
Encoding: UTF-8
Imports: ggplot2, dplyr, networkD3, jsonlite, htmlwidgets, webshot2, grDevices, methods
LazyData: true
NeedsCompilation: no
Packaged: 2022-07-20 18:24:36 UTC; zhiz
Author: Zhi Zhao [aut, cre], Manuela Zucknick [aut], Tero Aittokallio [ctb]
Maintainer: Zhi Zhao <zhi.zhao@medisin.uio.no>
Repository: CRAN
Date/Publication: 2022-07-21 12:00:15 UTC

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New package autohrf with initial version 1.0.3
Package: autohrf
Title: Automated Generation of Data-Informed GLM Models in Task-Based fMRI Data Analysis
Version: 1.0.3
Maintainer: Jure Demsar <jure.demsar@fri.uni-lj.si>
Description: Analysis of task-related functional magnetic resonance imaging (fMRI) activity at the level of individual participants is commonly based on general linear modelling (GLM) that allows us to estimate to what extent the blood oxygenation level dependent (BOLD) signal can be explained by task response predictors specified in the GLM model. The predictors are constructed by convolving the hypothesised timecourse of neural activity with an assumed hemodynamic response function (HRF). To get valid and precise estimates of task response, it is important to construct a model of neural activity that best matches actual neuronal activity. The construction of models is most often driven by predefined assumptions on the components of brain activity and their duration based on the task design and specific aims of the study. However, our assumptions about the onset and duration of component processes might be wrong and can also differ across brain regions. This can result in inappropriate or suboptimal models, bad fitting of the model to the actual data and invalid estimations of brain activity. Here we present an approach in which theoretically driven models of task response are used to define constraints based on which the final model is derived computationally using the actual data. Specifically, we developed 'autohrf' — a package for the 'R' programming language that allows for data-driven estimation of HRF models. The package uses genetic algorithms to efficiently search for models that fit the underlying data well. The package uses automated parameter search to find the onset and duration of task predictors which result in the highest fitness of the resulting GLM based on the fMRI signal under predefined restrictions. We evaluate the usefulness of the 'autohrf' package on publicly available datasets of task-related fMRI activity. Our results suggest that by using 'autohrf' users can find better task related brain activity models in a quick and efficient manner.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: cowplot (>= 1.1.1), doParallel (>= 1.0.17), dplyr (>= 1.0.8), foreach (>= 1.5.2), ggplot2 (>= 3.3.5), gtools (>= 3.9.2), lubridate (>= 1.8.0), magrittr (>= 2.0.2), RColorBrewer (>= 1.1)
Suggests: knitr (>= 1.38), testthat (>= 3.1.3)
VignetteBuilder: knitr
URL: https://github.com/demsarjure/autohrf
BugReports: https://github.com/demsarjure/autohrf/issues
NeedsCompilation: no
Packaged: 2022-07-20 17:50:56 UTC; jure
Author: Jure Demsar [cre, aut], Nina Purg [aut], Grega Repovs [aut]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2022-07-21 12:00:11 UTC

More information about autohrf at CRAN
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Package RclusTool (with last version 0.91.3) was removed from CRAN

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

2020-02-04 0.91.3
2020-01-09 0.91.2
2019-12-12 0.91.1
2019-11-06 0.91

Permanent link
Package rrapply updated to version 1.2.5 with previous version 1.2.4 dated 2022-03-07

Title: Revisiting Base Rapply
Description: The minimal 'rrapply'-package contains a single function rrapply(), providing an extended implementation of 'R'-base rapply() by allowing to recursively apply a function to elements of a nested list based on a general condition function and including the possibility to prune or aggregate nested list elements from the result. In addition, special arguments can be supplied to access the name, location, parents and siblings in the nested list of the element under evaluation. The rrapply() function builds upon rapply()'s native 'C' implementation and requires no other package dependencies.
Author: Joris Chau [aut, cre]
Maintainer: Joris Chau <joris.chau@openanalytics.eu>

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Package overlapping updated to version 1.8 with previous version 1.7 dated 2021-12-06

Title: Estimation of Overlapping in Empirical Distributions
Description: Functions for estimating the overlapping area of two or more kernel density estimations from empirical data.
Author: Massimiliano Pastore
Maintainer: Massimiliano Pastore <massimiliano.pastore@unipd.it>

Diff between overlapping versions 1.7 dated 2021-12-06 and 1.8 dated 2022-07-21

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More information about overlapping at CRAN
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Package VARsignR (with last version 0.1.3) was removed from CRAN

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

2015-12-21 0.1.3

Permanent link
Package factset.protobuf.stach.v2 (with last version 1.0.3) was removed from CRAN

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

2022-02-02 1.0.3

Permanent link
Package DiffusionRimp (with last version 0.1.2) was removed from CRAN

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

2016-08-24 0.1.2
2016-08-16 0.1.1
2016-06-13 0.1.0

Permanent link
Package cffdrs (with last version 1.8.18) was removed from CRAN

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

2020-06-03 1.8.18

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Package FamEvent (with last version 2.1) was removed from CRAN

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

2021-03-17 2.1
2019-03-21 2.0
2017-03-26 1.3
2016-09-30 1.2
2016-03-09 1.1
2016-02-09 1.0

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Package gesca (with last version 1.0.4) was removed from CRAN

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

2017-09-28 1.0.4
2016-07-25 1.0.3
2016-05-04 1.0.2
2016-03-04 1.0.1
2016-03-02 1.0

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Package rtweet updated to version 1.0.2 with previous version 0.7.0 dated 2020-01-08

Title: Collecting Twitter Data
Description: An implementation of calls designed to collect and organize Twitter data via Twitter's REST and stream Application Program Interfaces (API), which can be found at the following URL: <https://developer.twitter.com/en/docs>.
Author: Michael W. Kearney [aut] , Lluis Revilla Sancho [aut, cre] , Hadley Wickham [aut] , Andrew Heiss [rev] , Francois Briatte [rev], Jonathan Sidi [ctb]
Maintainer: Lluis Revilla Sancho <lluis.revilla@gmail.com>

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Package R.filesets updated to version 2.15.0 with previous version 2.14.0 dated 2020-12-08

Title: Easy Handling of and Access to Files Organized in Structured Directories
Description: A file set refers to a set of files located in one or more directories on the file system. This package provides classes and methods to locate, setup, subset, navigate and iterate such sets. The API is designed such that these classes can be extended via inheritance to provide a richer API for special file formats. Moreover, a specific name format is defined such that filenames and directories can be considered to have full names which consists of a name followed by comma-separated tags. This adds additional flexibility to identify file sets and individual files. NOTE: This package's API should be considered to be in an beta stage. Its main purpose is currently to support the aroma.* packages, where it is one of the main core components; if you decide to build on top of this package, please contact the author first.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between R.filesets versions 2.14.0 dated 2020-12-08 and 2.15.0 dated 2022-07-21

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Package monobin updated to version 0.2.4 with previous version 0.2.3 dated 2022-04-18

Title: Monotonic Binning for Credit Rating Models
Description: Performs monotonic binning of numeric risk factor in credit rating models (PD, LGD, EAD) development. All functions handle both binary and continuous target variable. Functions that use isotonic regression in the first stage of binning process have an additional feature for correction of minimum percentage of observations and minimum target rate per bin. Additionally, monotonic trend can be identified based on raw data or, if known in advance, forced by functions' argument. Missing values and other possible special values are treated separately from so-called complete cases.
Author: Andrija Djurovic [aut, cre]
Maintainer: Andrija Djurovic <djandrija@gmail.com>

Diff between monobin versions 0.2.3 dated 2022-04-18 and 0.2.4 dated 2022-07-21

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New package MetaSKAT with initial version 0.82
Package: MetaSKAT
Title: Meta Analysis for SNP-Set (Sequence) Kernel Association Test
Version: 0.82
Date: 2022-07-21
Author: Seunggeun Lee [aut, cre]
Maintainer: Seunggeun (Shawn) Lee <lee7801@snu.ac.kr>
Description: Functions for Meta-analysis Burden Test, Sequence Kernel Association Test (SKAT) and Optimal SKAT (SKAT-O) by Lee et al. (2013) <doi:10.1016/j.ajhg.2013.05.010>. These methods use summary-level score statistics to carry out gene-based meta-analysis for rare variants.
License: GPL (>= 2)
SystemRequirements: Little Endian
Depends: R (>= 2.13.0)
Imports: SKAT (>= 2.0.1)
NeedsCompilation: yes
Packaged: 2022-07-21 07:06:00 UTC; LEE7801
Repository: CRAN
Date/Publication: 2022-07-21 09:20:02 UTC

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Package fiberLD updated to version 0.1-7 with previous version 0.1-6 dated 2019-02-18

Title: Fiber Length Determination
Description: Routines for estimating tree fiber (tracheid) length distributions in the standing tree based on increment core samples. Two types of data can be used with the package, increment core data measured by means of an optical fiber analyzer (OFA), e.g. such as the Kajaani Fiber Lab, or measured by microscopy. Increment core data analyzed by OFAs consist of the cell lengths of both cut and uncut fibres (tracheids) and fines (such as ray parenchyma cells) without being able to identify which cells are cut or if they are fines or fibres. The microscopy measured data consist of the observed lengths of the uncut fibres in the increment core. A censored version of a mixture of the fine and fiber length distributions is proposed to fit the OFA data, under distributional assumptions (Svensson et al., 2006) <doi:10.1111/j.1467-9469.2006.00501.x>. The package offers two choices for the assumptions of the underlying density functions of the true fiber (fine) lenghts of those fibers (fines) that at least partially appear in the increment core, being the generalized gamma and the log normal densities.
Author: Natalya Pya Arnqvist[aut, cre], Sara Sjoestedt de Luna [aut], Konrad Abramowicz [aut]
Maintainer: Natalya Pya Arnqvist <nat.pya@gmail.com>

Diff between fiberLD versions 0.1-6 dated 2019-02-18 and 0.1-7 dated 2022-07-21

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New package did2s with initial version 0.7.0
Package: did2s
Title: Two-Stage Difference-in-Differences Following Gardner (2021)
Version: 0.7.0
Description: Estimates Two-way Fixed Effects difference-in-differences/event-study models using the approach proposed by Gardner (2021). To avoid the problems caused by OLS estimation of the Two-way Fixed Effects model, this function first estimates the fixed effects and covariates using untreated observations and then in a second stage, estimates the treatment effects.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0), fixest (>= 0.10.1)
Imports: data.table, ggplot2, glue, stats, stringr, rlang, cli, Matrix, Rcpp, did, broom, methods, staggered, didimputation, boot
URL: http://kylebutts.com/did2s/
Suggests: rmarkdown, knitr, haven, testthat (>= 3.0.0)
VignetteBuilder: knitr
LinkingTo: RcppArmadillo, Rcpp
NeedsCompilation: yes
Packaged: 2022-07-20 22:53:14 UTC; kylebutts
Author: Kyle Butts [aut, cre] , John Gardner [aut] , Grant McDermott [ctb] , Laurent Berge [ctb]
Maintainer: Kyle Butts <kyle.butts@colorado.edu>
Repository: CRAN
Date/Publication: 2022-07-21 09:40:02 UTC

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Package rcarbon updated to version 1.4.4 with previous version 1.4.3 dated 2022-02-17

Title: Calibration and Analysis of Radiocarbon Dates
Description: Enables the calibration and analysis of radiocarbon dates, often but not exclusively for the purposes of archaeological research. It includes functions not only for basic calibration, uncalibration, and plotting of one or more dates, but also a statistical framework for building demographic and related longitudinal inferences from aggregate radiocarbon date lists, including: Monte-Carlo simulation test (Timpson et al 2014 <doi:10.1016/j.jas.2014.08.011>), random mark permutation test (Crema et al 2016 <doi:10.1371/journal.pone.0154809>) and spatial permutation tests (Crema, Bevan, and Shennan 2017 <doi:10.1016/j.jas.2017.09.007>).
Author: Andrew Bevan [aut] , Enrico Crema [aut, cre] , R. Kyle Bocinsky [ctb], Martin Hinz [ctb], Philip Riris [ctb], Fabio Silva [ctb]
Maintainer: Enrico Crema <enrico.crema@gmail.com>

Diff between rcarbon versions 1.4.3 dated 2022-02-17 and 1.4.4 dated 2022-07-21

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Package multiColl updated to version 2.0 with previous version 1.0 dated 2019-07-18

Title: Collinearity Detection in a Multiple Linear Regression Model
Description: The detection of worrying approximate collinearity in a multiple linear regression model is a problem addressed in all existing statistical packages. However, we have detected deficits regarding to the incorrect treatment of qualitative independent variables and the role of the intercept of the model. The objective of this package is to correct these deficits. In this package will be available detection and treatment techniques traditionally used as the recently developed.
Author: R. Salmeron, C. Garcia and J. Garcia
Maintainer: R. Salmeron <romansg@ugr.es>

Diff between multiColl versions 1.0 dated 2019-07-18 and 2.0 dated 2022-07-21

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Package fImport updated to version 4021.86 with previous version 3042.85 dated 2017-11-20

Title: Rmetrics - Importing Economic and Financial Data
Description: Provides a collection of utility functions to download and manage data sets from the Internet or from other sources.
Author: Diethelm Wuertz [aut] , Tobias Setz [aut], Yohan Chalabi [aut], Georgi N. Boshnakov [cre]
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>

Diff between fImport versions 3042.85 dated 2017-11-20 and 4021.86 dated 2022-07-21

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Package briKmeans updated to version 1.0 with previous version 0.1 dated 2021-02-15

Title: Package for Brik, Fabrik and Fdebrik Algorithms to Initialise Kmeans
Description: Implementation of the BRIk, FABRIk and FDEBRIk algorithms to initialise k-means. These methods are intended for the clustering of multivariate and functional data, respectively. They make use of the Modified Band Depth and bootstrap to identify appropriate initial seeds for k-means, which are proven to be better options than many techniques in the literature. Torrente and Romo (2021) <doi:10.1007/s00357-020-09372-3> It makes use of the functions kma and kma.similarity, from the archived package fdakma, by Alice Parodi et al.
Author: Javier Albert Smet <javas@kth.se> and Aurora Torrente <etorrent@est-econ.uc3m.es>. Alice Parodi, Mirco Patriarca, Laura Sangalli, Piercesare Secchi, Simone Vantini and Valeria Vitelli, as contributors.
Maintainer: Aurora Torrente <etorrent@est-econ.uc3m.es>

Diff between briKmeans versions 0.1 dated 2021-02-15 and 1.0 dated 2022-07-21

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Package baseflow (with last version 0.13.2) was removed from CRAN

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

2021-03-18 0.13.2
2021-03-05 0.13.0
2021-01-15 0.12.3
2021-01-05 0.12.2
2020-12-11 0.12.1
2020-03-16 0.12.0

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Package tbart (with last version 1.0) was removed from CRAN

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

2015-02-13 1.0
2014-08-16 0.9.1
2013-06-19 0.9

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Package cito (with last version 1.0.0) was removed from CRAN

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

2022-07-20 1.0.0

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Package changepoint.mv (with last version 1.0.2) was removed from CRAN

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

2020-08-07 1.0.2

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Wed, 20 Jul 2022

Package partitions updated to version 1.10-7 with previous version 1.10-4 dated 2021-10-23

Title: Additive Partitions of Integers
Description: Additive partitions of integers. Enumerates the partitions, unequal partitions, and restricted partitions of an integer; the three corresponding partition functions are also given. Set partitions and now compositions and riffle shuffles are included.
Author: Robin K. S. Hankin [aut, cre] , Paul Egeler [ctb]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

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Package phenocamr updated to version 1.1.5 with previous version 1.1.4 dated 2020-03-22

Title: Facilitates 'PhenoCam' Data Access and Time Series Post-Processing
Description: Programmatic interface to the 'PhenoCam' web services (<https://phenocam.nau.edu/webcam>). Allows for easy downloading of 'PhenoCam' data directly to your R workspace or your computer and provides post-processing routines for consistent and easy timeseries outlier detection, smoothing and estimation of phenological transition dates. Methods for this package are described in detail in Hufkens et. al (2018) <doi:10.1111/2041-210X.12970>.
Author: Koen Hufkens [aut, cre] , BlueGreen Labs [cph, fnd]
Maintainer: Koen Hufkens <koen.hufkens@gmail.com>

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Package npreg updated to version 1.0-9 with previous version 1.0-8 dated 2022-03-31

Title: Nonparametric Regression via Smoothing Splines
Description: Multiple and generalized nonparametric regression using smoothing spline ANOVA models and generalized additive models, as described in Helwig (2020) <doi:10.4135/9781526421036885885>. Includes support for Gaussian and non-Gaussian responses, smoothers for multiple types of predictors, interactions between smoothers of mixed types, eight different methods for smoothing parameter selection, and flexible tools for prediction and inference.
Author: Nathaniel E. Helwig <helwig@umn.edu>
Maintainer: Nathaniel E. Helwig <helwig@umn.edu>

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Package toxpiR updated to version 1.2.1 with previous version 1.0.3 dated 2022-02-18

Title: Create ToxPi Prioritization Models
Description: Enables users to build 'ToxPi' prioritization models and provides functionality within the grid framework for plotting ToxPi graphs. 'toxpiR' allows for more customization than the 'ToxPi GUI' (<https://toxpi.org>) and integration into existing workflows for greater ease-of-use, reproducibility, and transparency. toxpiR package behaves nearly identically to the GUI; the package documentation includes notes about all differences. The vignettes download example files from <https://github.com/ToxPi/ToxPi-example-files>.
Author: Dayne L Filer [aut, cre, fnd] , Dillon T Lloyd [aut], Preethi Thunga [aut] , Skylar W Marvel [aut], Alison A Motsinger-Reif [fnd] , David M Reif [aut, fnd]
Maintainer: Dayne L Filer <dayne.filer@gmail.com>

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Package ggtikz updated to version 0.1.1 with previous version 0.1.0 dated 2021-11-04

Title: Post-Process 'ggplot2' Plots with 'TikZ' Code Using Plot Coordinates
Description: Annotation of 'ggplot2' plots with arbitrary 'TikZ' code, using absolute data or relative plot coordinates.
Author: Oliver Thomas [aut, cre]
Maintainer: Oliver Thomas <oliver.thomas@sgbm.uni-freiburg.de>

Diff between ggtikz versions 0.1.0 dated 2021-11-04 and 0.1.1 dated 2022-07-20

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Package binsegRcpp updated to version 2022.7.19 with previous version 2022.1.24 dated 2022-01-26

Title: Efficient Implementation of Binary Segmentation
Description: Standard template library containers are used to implement an efficient binary segmentation algorithm, which is log-linear on average and quadratic in the worst case.
Author: Toby Dylan Hocking
Maintainer: Toby Dylan Hocking <toby.hocking@r-project.org>

Diff between binsegRcpp versions 2022.1.24 dated 2022-01-26 and 2022.7.19 dated 2022-07-20

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Package MazamaCoreUtils updated to version 0.4.12 with previous version 0.4.10 dated 2021-11-11

Title: Utility Functions for Production R Code
Description: A suite of utility functions providing functionality commonly needed for production level projects such as logging, error handling, cache management and date-time parsing. Functions for date-time parsing and formatting require that time zones be specified explicitly, avoiding a common source of error when working with environmental time series.
Author: Jonathan Callahan [aut, cre], Eli Grosman [ctb], Spencer Pease [ctb], Thomas Bergamaschi [ctb]
Maintainer: Jonathan Callahan <jonathan.s.callahan@gmail.com>

Diff between MazamaCoreUtils versions 0.4.10 dated 2021-11-11 and 0.4.12 dated 2022-07-20

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Package aroma.cn updated to version 1.7.0 with previous version 1.6.1 dated 2015-10-27

Title: Copy-Number Analysis of Large Microarray Data Sets
Description: Methods for analyzing DNA copy-number data. Specifically, this package implements the multi-source copy-number normalization (MSCN) method for normalizing copy-number data obtained on various platforms and technologies. It also implements the TumorBoost method for normalizing paired tumor-normal SNP data.
Author: Henrik Bengtsson [aut, cre, cph], Pierre Neuvial [aut]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between aroma.cn versions 1.6.1 dated 2015-10-27 and 1.7.0 dated 2022-07-20

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 aroma.cn-1.7.0/aroma.cn/R/999.DEPRECATED.R                                                              |   44 
 aroma.cn-1.7.0/aroma.cn/R/999.NonDocumentedObjects.R                                                    |    6 
 aroma.cn-1.7.0/aroma.cn/R/AbstractCurveNormalization.R                                                  | 1243 ++--
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 aroma.cn-1.7.0/aroma.cn/R/C1C2.R                                                                        |   46 
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 aroma.cn-1.7.0/aroma.cn/R/MultiSourceCopyNumberNormalization.XTRAS.R                                    |  273 
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 aroma.cn-1.7.0/aroma.cn/R/PairedPSCBS.BOOT.R                                                            | 1286 ++--
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 aroma.cn-1.7.0/aroma.cn/R/PairedPSCBS.PLOT3.R                                                           |   63 
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 aroma.cn-1.7.0/aroma.cn/R/PairedPSCBS.fitC1C2Peaks.R                                                    |  120 
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 aroma.cn-1.7.0/aroma.cn/R/PolarSnpData.R                                                                |   46 
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 aroma.cn-1.7.0/aroma.cn/R/PruneCNA.EXTS.R                                                               |   57 
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 aroma.cn-1.7.0/aroma.cn/R/RawAlleleBFractions.XTRAS.R                                                   |   49 
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 aroma.cn-1.7.0/aroma.cn/R/SnpData.R                                                                     |   22 
 aroma.cn-1.7.0/aroma.cn/R/TotalCnBinnedSmoothing.R                                                      |   71 
 aroma.cn-1.7.0/aroma.cn/R/TotalCnKernelSmoothing.R                                                      |   91 
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 aroma.cn-1.7.0/aroma.cn/R/XYCurveNormalization.R                                                        |   14 
 aroma.cn-1.7.0/aroma.cn/R/calculatePairedPSCNByGenotype.R                                               |  224 
 aroma.cn-1.7.0/aroma.cn/R/callXXorXY.numeric.R                                                          |   67 
 aroma.cn-1.7.0/aroma.cn/R/cnr.R                                                                         |   40 
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 aroma.cn-1.7.0/aroma.cn/R/principal.curve.pairs2.R                                                      |   44 
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 aroma.cn-1.7.0/aroma.cn/R/segmentByPruneCBS.R                                                           |  799 +-
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 aroma.cn-1.7.0/aroma.cn/R/utils.R                                                                       |only
 aroma.cn-1.7.0/aroma.cn/R/zzz.R                                                                         |   22 
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 aroma.cn-1.7.0/aroma.cn/inst/testScripts/system/tracks/utils.R                                          |    2 
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 aroma.cn-1.7.0/aroma.cn/man/PairedPscbsModel.Rd                                                         |    2 
 aroma.cn-1.7.0/aroma.cn/man/PrincipalCurveNormalization.Rd                                              |    2 
 aroma.cn-1.7.0/aroma.cn/man/TotalCnBinnedSmoothing.Rd                                                   |    2 
 aroma.cn-1.7.0/aroma.cn/man/TotalCnKernelSmoothing.Rd                                                   |    2 
 aroma.cn-1.7.0/aroma.cn/man/TotalCnSmoothing.Rd                                                         |    2 
 aroma.cn-1.7.0/aroma.cn/man/TumorBoostNormalization.Rd                                                  |    2 
 aroma.cn-1.7.0/aroma.cn/man/XYCurveNormalization.Rd                                                     |    2 
 aroma.cn-1.7.0/aroma.cn/man/aroma.cn-package.Rd                                                         |    4 
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Package optparse updated to version 1.7.3 with previous version 1.7.1 dated 2021-10-08

Title: Command Line Option Parser
Description: A command line parser inspired by Python's 'optparse' library to be used with Rscript to write "#!" shebang scripts that accept short and long flag/options.
Author: Trevor L Davis [aut, cre] , Allen Day [ctb] , Python Software Foundation [ctb] , Steve Lianoglou [ctb], Jim Nikelski [ctb], Kirill Mueller [ctb], Peter Humburg [ctb], Rich FitzJohn [ctb], Gyu Jin Choi [ctb]
Maintainer: Trevor L Davis <trevor.l.davis@gmail.com>

Diff between optparse versions 1.7.1 dated 2021-10-08 and 1.7.3 dated 2022-07-20

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Package ggarchery updated to version 0.3.0 with previous version 0.2.0 dated 2022-02-25

Title: Flexible Segment Geoms with Arrows for 'ggplot2'
Description: Geoms for placing arrowheads at multiple points along a segment, not just at the end; position function to shift starts and ends of arrows to avoid exactly intersecting points.
Author: Matthew Hall [aut, cre]
Maintainer: Matthew Hall <matthew.hall@bdi.ox.ac.uk>

Diff between ggarchery versions 0.2.0 dated 2022-02-25 and 0.3.0 dated 2022-07-20

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Package devtools updated to version 2.4.4 with previous version 2.4.3 dated 2021-11-30

Title: Tools to Make Developing R Packages Easier
Description: Collection of package development tools.
Author: Hadley Wickham [aut], Jim Hester [aut], Winston Chang [aut], Jennifer Bryan [aut, cre] , RStudio [cph, fnd]
Maintainer: Jennifer Bryan <jenny@rstudio.com>

Diff between devtools versions 2.4.3 dated 2021-11-30 and 2.4.4 dated 2022-07-20

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 devtools-2.4.4/devtools/MD5                                                           |  133 +++--
 devtools-2.4.4/devtools/NAMESPACE                                                     |    4 
 devtools-2.4.4/devtools/NEWS.md                                                       |   20 
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New package promor with initial version 0.1.0
Package: promor
Title: Proteomics Data Analysis and Modeling Tools
Version: 0.1.0
Description: A comprehensive, user-friendly package for label-free proteomics data analysis and machine learning-based modeling. Data generated from 'MaxQuant' can be easily used to conduct differential expression analysis, build predictive models with top protein candidates, and assess model performance. promor includes a suite of tools for quality control, visualization, missing data imputation (Lazar et. al. (2016) <doi:10.1021/acs.jproteome.5b00981>), differential expression analysis (Ritchie et. al. (2015) <doi:10.1093/nar/gkv007>), and machine learning-based modeling (Kuhn (2008) <doi:10.18637/jss.v028.i05>).
License: LGPL (>= 2.1)
Encoding: UTF-8
Language: en-US
VignetteBuilder: knitr
Suggests: covr, knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 3.5.0)
URL: https://github.com/caranathunge/promor, https://caranathunge.github.io/promor/
Imports: reshape2, ggplot2, ggrepel, gridExtra, limma, statmod, pcaMethods, VIM, missForest, caret, kernlab, xgboost, viridis, pROC
LazyData: true
BugReports: https://github.com/caranathunge/promor/issues
NeedsCompilation: no
Packaged: 2022-07-19 20:40:22 UTC; ranathca
Author: Chathurani Ranathunge [aut, cre, cph]
Maintainer: Chathurani Ranathunge <caranathunge86@gmail.com>
Repository: CRAN
Date/Publication: 2022-07-20 17:30:02 UTC

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New package lnmCluster with initial version 0.3.1
Package: lnmCluster
Title: Perform Logistic Normal Multinomial Clustering for Microbiome Compositional Data
Version: 0.3.1
Maintainer: Wangshu Tu <wangshu.tu@carleton.ca>
Description: An implementation of logistic normal multinomial (LNM) clustering. It is an extension of LNM mixture model proposed by Fang and Subedi (2020) <arXiv:2011.06682>, and is designed for clustering compositional data. The package includes 3 extended models: LNM Factor Analyzer (LNM-FA), LNM Bicluster Mixture Model (LNM-BMM) and Penalized LNM Factor Analyzer (LNM-FA). There are several advantages of LNM models: 1. LNM provides more flexible covariance structure; 2. Factor analyzer can reduce the number of parameters to estimate; 3. Bicluster can simultaneously cluster subjects and taxa, and provides significant biological insights; 4. Penalty term allows sparse estimation in the covariance matrix. Details for model assumptions and interpretation can be found in papers: Tu and Subedi (2021) <arXiv:2101.01871> and Tu and Subedi (2022) <doi:10.1002/sam.11555>.
License: GPL (>= 2)
Encoding: UTF-8
Imports: mclust, foreach, MASS, stringr, gtools, pgmm, utils
Suggests: knitr, rmarkdown, testthat, mvtnorm
VignetteBuilder: knitr
Depends: R (>= 3.50)
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2022-07-19 19:53:07 UTC; wangshutu
Author: Wangshu Tu [aut, cre], Sanjeena Dang [aut], Yuan Fang [aut]
Repository: CRAN
Date/Publication: 2022-07-20 17:50:02 UTC

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New package giedata with initial version 0.1.0
Package: giedata
Title: API Wrapper for GIE's AGSI+/ALSI+ Natural Gas Storage Transparency Platform
Version: 0.1.0
Description: Functions to access the API for Gas Infrastructure Europe's (GIE) AGSI+/ALSI+ natural gas storage transparency platform (<https://agsi.gie.eu/> and <https://alsi.gie.eu/>). Lets the user easily download metadata on companies and gas storage units covered by the API as well as the respective data on regional, country, company or facility level.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, httr, lubridate, magrittr, purrr
Suggests: vcr (>= 0.6.0), testthat
NeedsCompilation: no
Packaged: 2022-07-20 15:53:29 UTC; Nutzer
Author: Yannik Buhl [aut, cre]
Maintainer: Yannik Buhl <ybuhl@posteo.de>
Repository: CRAN
Date/Publication: 2022-07-20 17:50:04 UTC

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Package ggdensity updated to version 0.1.0 with previous version 0.0.1 dated 2022-02-15

Title: Interpretable Bivariate Density Visualization with 'ggplot2'
Description: The 'ggplot2' package provides simple functions for visualizing contours of 2-d kernel density estimates. 'ggdensity' implements several additional density estimators as well as more interpretable visualizations based on highest density regions instead of the traditional height of the estimated density surface.
Author: James Otto [aut, cre] , David Kahle [aut]
Maintainer: James Otto <jamesotto852@gmail.com>

Diff between ggdensity versions 0.0.1 dated 2022-02-15 and 0.1.0 dated 2022-07-20

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New package cito with initial version 1.0.0
Package: cito
Date: 2022-07-17
Title: Building and Training Neural Networks
Version: 1.0.0
Description: Building and training custom neural networks in the typical R syntax. The 'torch' package is used for numerical calculations, which allows for training on CPU as well as on a graphics card.
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: coro, checkmate, torch
License: GPL (>= 3)
Suggests: rmarkdown, knitr, testthat, plotly, ggraph, igraph, ggplot2
VignetteBuilder: knitr
BugReports: https://github.com/citoverse/cito/issues
NeedsCompilation: no
Packaged: 2022-07-19 06:32:03 UTC; chris
Author: Christian Amesoeder [aut, cre], Maximilian Pichler [aut]
Maintainer: Christian Amesoeder <Christian.Amesoeder@stud.uni-regensburg.de>
Repository: CRAN
Date/Publication: 2022-07-20 17:10:02 UTC

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New package activAnalyzer with initial version 1.0.4
Package: activAnalyzer
Title: A 'Shiny' App to Analyze Accelerometer-Measured Daily Physical Behavior Data
Version: 1.0.4
Description: A tool to analyse 'ActiGraph' accelerometer data and to implement the use of the PROactive Physical Activity in COPD (chronic obstructive pulmonary disease) instruments. Once analysis is completed, the app allows to export results to .csv files and to generate a report of the measurement. All the configured inputs relevant for interpreting the results are recorded in the report. In addition to the existing 'R' packages that are fully integrated with the app, the app uses some functions from the 'actigraph.sleepr' package developed by Petkova (2021) <https://github.com/dipetkov/actigraph.sleepr/>.
License: GPL (>= 3)
Imports: dbplyr (>= 2.1.1), dplyr (>= 1.0.7), flextable (>= 0.6.10), forcats (>= 0.5.1), ggplot2 (>= 3.3.5), golem (>= 0.3.1), hms (>= 1.1.1), lubridate (>= 1.8.0), magrittr, modelr (>= 0.1.8), patchwork (>= 1.1.1), PhysicalActivity, reactable (>= 0.2.3), rmarkdown (>= 2.11), RSQLite, shiny (>= 1.6.0), shinycssloaders (>= 1.0.0), shinydashboard (>= 0.7.2), shinydashboardPlus (>= 2.0.3), shinyFeedback (>= 0.4.0), shinyjs (>= 2.0.0), stringr (>= 1.4.0), tidyr (>= 1.1.4), zoo
Encoding: UTF-8
URL: https://pydemull.github.io/activAnalyzer/, https://github.com/pydemull/activAnalyzer
BugReports: https://github.com/pydemull/activAnalyzer/issues
Suggests: shinytest, covr, knitr, spelling, testthat (>= 3.0.0), processx, globals, config, tidyselect, DBI, assertthat, htmltools, officer, pkgload, scales, tibble, rlang, tinytex
Language: en-US
Depends: R (>= 3.4.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-07-19 15:35:14 UTC; pydemullenheim
Author: Pierre-Yves de Muellenheim [cre, aut]
Maintainer: Pierre-Yves de Muellenheim <pydemull@uco.fr>
Repository: CRAN
Date/Publication: 2022-07-20 17:20:02 UTC

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Package tergmLite updated to version 2.6.1 with previous version 2.5.5 dated 2021-11-11

Title: Fast Simulation of Simple Temporal Exponential Random Graph Models
Description: Provides functions for the computationally efficient simulation of dynamic networks estimated with the statistical framework of temporal exponential random graph models, implemented in the 'tergm' package.
Author: Samuel M. Jenness [aut, cre], Chad Klumb [aut]
Maintainer: Samuel M. Jenness <samuel.m.jenness@emory.edu>

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Package sitar updated to version 1.3.0 with previous version 1.2.0 dated 2021-04-22

Title: Super Imposition by Translation and Rotation Growth Curve Analysis
Description: Functions for fitting and plotting SITAR (Super Imposition by Translation And Rotation) growth curve models. SITAR is a shape-invariant model with a regression B-spline mean curve and subject-specific random effects on both the measurement and age scales. The model was first described by Lindstrom (1995) <doi:10.1002/sim.4780141807> and developed as the SITAR method by Cole et al (2010) <doi:10.1093/ije/dyq115>.
Author: Tim Cole [aut, cre]
Maintainer: Tim Cole <tim.cole@ucl.ac.uk>

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Package RItools updated to version 0.3-0 with previous version 0.1-18 dated 2022-02-28

Title: Randomization Inference Tools
Description: Tools for randomization-based inference. Current focus is on the d^2 omnibus test of differences of means following Hansen and Bowers (2008) <doi:10.1214/08-STS254> . This test is useful for assessing balance in matched observational studies or for analysis of outcomes in block-randomized experiments.
Author: Jake Bowers [aut, cre], Mark Fredrickson [aut], Ben Hansen [aut], Josh Errickson [ctb]
Maintainer: Jake Bowers <jwbowers@illinois.edu>

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Package rdaisi updated to version 0.1.3 with previous version 0.1.2 dated 2022-07-05

Title: R Client for the Daisi Microservice Platform
Description: Connect, execute, and parse results from the Daisi Microservice Platform <https://www.daisi.io/>. The rdaisi client includes a set of functionality that allows remote execution of microservices directly from R. Daisis allow R users to access a wide variety of Python functionality and interact with them natively.
Author: Daisi Technology, Inc. [aut], Jean-Marie Laigle [aut], Eric Hare [aut, cre]
Maintainer: Eric Hare <eric.hare@daisi.io>

Diff between rdaisi versions 0.1.2 dated 2022-07-05 and 0.1.3 dated 2022-07-20

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New package RadOnc with initial version 1.1.7
Package: RadOnc
Title: Analytical Tools for Radiation Oncology
Version: 1.1.7
Date: 2022-07-19
Author: Reid F. Thompson <reid.thompson@gmail.com>
Maintainer: Reid F. Thompson <reid.thompson@gmail.com>
Imports: stats, utils
Depends: R (>= 3.0.0), graphics, grDevices, methods, oro.dicom (>= 0.5.0), ptinpoly
Description: Designed for the import, analysis, and visualization of dosimetric and volumetric data in Radiation Oncology, the tools herein enable import of dose-volume histogram information from multiple treatment planning system platforms and 3D structural representations and dosimetric information from 'DICOM-RT' files. These tools also enable subsequent visualization and statistical analysis of these data.
License: GPL (>= 2)
LazyData: yes
LazyLoad: yes
NeedsCompilation: no
Packaged: 2022-07-19 22:53:12 UTC; thompsre
Repository: CRAN
Date/Publication: 2022-07-20 15:50:08 UTC

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New package org with initial version 2022.7.21
Package: org
Title: Organising Projects
Version: 2022.7.21
Description: A system to help you organize projects. Most analyses have three (or more) main sections: code, results, and data, each with different requirements (version control/sharing/encryption). You provide folder locations and 'org' helps you take care of the details.
Depends: R (>= 3.3.0)
License: MIT + file LICENSE
URL: https://docs.sykdomspulsen.no/org/, https://github.com/sykdomspulsen-org/org
BugReports: https://github.com/sykdomspulsen-org/org/issues
Encoding: UTF-8
Suggests: testthat, knitr, rmarkdown, rstudioapi, glue
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-07-20 05:11:25 UTC; RIWH
Author: Richard Aubrey White [aut, cre] , Folkehelseinstituttet [cph]
Maintainer: Richard Aubrey White <hello@rwhite.no>
Repository: CRAN
Date/Publication: 2022-07-20 15:50:02 UTC

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New package mallet with initial version 1.3.0
Package: mallet
Title: An R Wrapper for the Java Mallet Topic Modeling Toolkit
Version: 1.3.0
Date: 2022-07-19
Maintainer: Måns Magnusson <mons.magnusson@gmail.com>
Description: An R interface for the Java Machine Learning for Language Toolkit (mallet) <http://mallet.cs.umass.edu/> to estimate probabilistic topic models, such as Latent Dirichlet Allocation. We can use the R package to read textual data into mallet from R objects, run the Java implementation of mallet directly in R, and extract results as R objects. The Mallet toolkit has many functions, this wrapper focuses on the topic modeling sub-package written by David Mimno. The package uses the rJava package to connect to a JVM.
License: MIT + file LICENSE
URL: https://github.com/mimno/RMallet
BugReports: https://github.com/mimno/RMallet/issues
SystemRequirements: java
Encoding: UTF-8
Depends: R (>= 3.6.3)
Imports: rJava, checkmate
Suggests: knitr, rmarkdown, dplyr, testthat
VignetteBuilder: rmarkdown, knitr
LazyData: TRUE
NeedsCompilation: no
Packaged: 2022-07-19 14:10:22 UTC; mansmagnusson
Author: Måns Magnusson [cre, aut] , David Mimno [aut, cph]
Repository: CRAN
Date/Publication: 2022-07-20 15:50:05 UTC

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New package geneticae with initial version 0.4.0
Package: geneticae
Title: Statistical Tools for the Analysis of Multi Environment Agronomic Trials
Version: 0.4.0
Description: Data from multi environment agronomic trials, which are often carried out by plant breeders, can be analyzed with the tools offered by this package such as the Additive Main effects and Multiplicative Interaction model or 'AMMI' ('Gauch' 1992, ISBN:9780444892409) and the Site Regression model or 'SREG' ('Cornelius' 1996, <doi:10.1201/9780367802226>). Since these methods present a poor performance under the presence of outliers and missing values, this package includes robust versions of the 'AMMI' model ('Rodrigues' 2016, <doi:10.1093/bioinformatics/btv533>), and also imputation techniques specifically developed for this kind of data ('Arciniegas-Alarcón' 2014, <doi:10.2478/bile-2014-0006>).
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: stats, GGEBiplots, ggforce, ggplot2, scales, MASS, pcaMethods, rrcov, dplyr, missMDA, calibrate, graphics, reshape2, matrixStats, tidyr, prettydoc, rlang
Suggests: agridat, spelling, knitr, rmarkdown, testthat
VignetteBuilder: knitr
Depends: R (>= 2.12.0)
URL: https://jangelini.github.io/geneticae/
BugReports: https://github.com/jangelini/geneticae/issues
Language: en-US
NeedsCompilation: no
Packaged: 2022-07-20 12:32:08 UTC; julia-fedora
Author: Julia Angelini [aut, cre] , Marcos Prunello [aut] , Gerardo Cervigni [aut]
Maintainer: Julia Angelini <jangelini_93@hotmail.com>
Repository: CRAN
Date/Publication: 2022-07-20 15:40:06 UTC

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Package educationdata updated to version 0.1.2 with previous version 0.1.1 dated 2021-05-31

Title: Retrieve Records from the Urban Institute's Education Data Portal API
Description: Allows R users to retrieve and parse data from the Urban Institute's Education Data API <https://educationdata.urban.org/> into a 'data.frame' for analysis.
Author: Erika Tyagi [cre], Kyle Ueyama [aut], The Urban Institute [cph]
Maintainer: Erika Tyagi <etyagi@urban.org>

Diff between educationdata versions 0.1.1 dated 2021-05-31 and 0.1.2 dated 2022-07-20

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New package did with initial version 2.1.2
Package: did
Title: Treatment Effects with Multiple Periods and Groups
Version: 2.1.2
URL: https://bcallaway11.github.io/did/, https://github.com/bcallaway11/did/
Description: The standard Difference-in-Differences (DID) setup involves two periods and two groups -- a treated group and untreated group. Many applications of DID methods involve more than two periods and have individuals that are treated at different points in time. This package contains tools for computing average treatment effect parameters in Difference in Differences setups with more than two periods and with variation in treatment timing using the methods developed in Callaway and Sant'Anna (2021) <doi:10.1016/j.jeconom.2020.12.001>. The main parameters are group-time average treatment effects which are the average treatment effect for a particular group at a a particular time. These can be aggregated into a fewer number of treatment effect parameters, and the package deals with the cases where there is selective treatment timing, dynamic treatment effects, calendar time effects, or combinations of these. There are also functions for testing the Difference in Differences assumption, and plotting group-time average treatment effects.
Depends: R (>= 3.5),
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: BMisc (>= 1.4.4), Matrix, pbapply, ggplot2, ggpubr, DRDID, generics, methods, tidyr
VignetteBuilder: knitr
Suggests: rmarkdown, plm, here, knitr, covr
NeedsCompilation: no
Packaged: 2022-07-20 03:09:38 UTC; brant
Author: Brantly Callaway [aut, cre], Pedro H. C. Sant'Anna [aut]
Maintainer: Brantly Callaway <brantly.callaway@uga.edu>
Repository: CRAN
Date/Publication: 2022-07-20 16:00:05 UTC

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Package worcs updated to version 0.1.10 with previous version 0.1.9 dated 2022-07-16

Title: Workflow for Open Reproducible Code in Science
Description: Create reproducible and transparent research projects in 'R'. This package is based on the Workflow for Open Reproducible Code in Science (WORCS), a step-by-step procedure based on best practices for Open Science. It includes an 'RStudio' project template, several convenience functions, and all dependencies required to make your project reproducible and transparent. WORCS is explained in the tutorial paper by Van Lissa, Brandmaier, Brinkman, Lamprecht, Struiksma, & Vreede (2021). <doi:10.3233/DS-210031>.
Author: Caspar J. Van Lissa [aut, cre] , Aaron Peikert [aut] , Andreas M. Brandmaier [aut]
Maintainer: Caspar J. Van Lissa <c.j.vanlissa@tilburguniversity.edu>

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Package TreeTools updated to version 1.7.3 with previous version 1.7.2 dated 2022-05-24

Title: Create, Modify and Analyse Phylogenetic Trees
Description: Efficient implementations of functions for the creation, modification and analysis of phylogenetic trees. Applications include: generation of trees with specified shapes; tree rearrangement; analysis of tree shape; rooting of trees and extraction of subtrees; calculation and depiction of split support; plotting the position of rogue taxa (Klopfstein & Spasojevic 2019) <doi:10.1371/journal.pone.0212942>; calculation of ancestor-descendant relationships, of 'stemwardness' (Asher & Smith, 2022) <doi:10.1093/sysbio/syab072>, and of tree balance (Mir et al. 2013) <doi:10.1016/j.mbs.2012.10.005>; artificial extinction (Asher & Smith, 2022) <doi:10.1093/sysbio/syab072>; import and export of trees from Newick, Nexus (Maddison et al. 1997) <doi:10.1093/sysbio/46.4.590>, and TNT <http://www.lillo.org.ar/phylogeny/tnt/> formats; and analysis of splits and cladistic information.
Author: Martin R. Smith [aut, cre, cph] , Emmanuel Paradis [cph]
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

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Package TreeDist updated to version 2.4.1 with previous version 2.4.0 dated 2022-03-23

Title: Calculate and Map Distances Between Phylogenetic Trees
Description: Implements measures of tree similarity, including information-based generalized Robinson-Foulds distances (Phylogenetic Information Distance, Clustering Information Distance, Matching Split Information Distance; Smith 2020) <doi:10.1093/bioinformatics/btaa614>; Jaccard-Robinson-Foulds distances (Bocker et al. 2013) <doi:10.1007/978-3-642-40453-5_13>, including the Nye et al. (2006) metric <doi:10.1093/bioinformatics/bti720>; the Matching Split Distance (Bogdanowicz & Giaro 2012) <doi:10.1109/TCBB.2011.48>; Maximum Agreement Subtree distances; the Kendall-Colijn (2016) distance <doi:10.1093/molbev/msw124>, and the Nearest Neighbour Interchange (NNI) distance, approximated per Li et al. (1996) <doi:10.1007/3-540-61332-3_168>. Includes tools for visualizing mappings of tree space (Smith 2022) <doi:10.1093/sysbio/syab100>, for calculating the median of sets of trees, and for computing the information content of trees and splits.
Author: Martin R. Smith [aut, cre, cph, prg] , Roy Jonker [prg, cph], Yong Yang [ctb, cph], Yi Cao [ctb, cph]
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

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Package tealeaves updated to version 1.0.6 with previous version 1.0.5 dated 2020-06-18

Title: Solve for Leaf Temperature Using Energy Balance
Description: Implements models of leaf temperature using energy balance. It uses units to ensure that parameters are properly specified and transformed before calculations. It allows separate lower and upper surface conductances to heat and water vapour, so sensible and latent heat loss are calculated for each surface separately as in Foster and Smith (1986) <doi:10.1111/j.1365-3040.1986.tb02108.x>. It's straightforward to model leaf temperature over environmental gradients such as light, air temperature, humidity, and wind. It can also model leaf temperature over trait gradients such as leaf size or stomatal conductance. Other references are Monteith and Unsworth (2013, ISBN:9780123869104), Nobel (2009, ISBN:9780123741431), and Okajima et al. (2012) <doi:10.1007/s11284-011-0905-5>.
Author: Chris Muir [aut, cre]
Maintainer: Chris Muir <cdmuir@hawaii.edu>

Diff between tealeaves versions 1.0.5 dated 2020-06-18 and 1.0.6 dated 2022-07-20

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Package Rdpack updated to version 2.4 with previous version 2.3.1 dated 2022-06-07

Title: Update and Manipulate Rd Documentation Objects
Description: Functions for manipulation of R documentation objects, including functions reprompt() and ereprompt() for updating 'Rd' documentation for functions, methods and classes; 'Rd' macros for citations and import of references from 'bibtex' files for use in 'Rd' files and 'roxygen2' comments; 'Rd' macros for evaluating and inserting snippets of 'R' code and the results of its evaluation or creating graphics on the fly; and many functions for manipulation of references and Rd files.
Author: Georgi N. Boshnakov [aut, cre], Duncan Murdoch [ctb]
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>

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New package PRSPGx with initial version 0.3.0
Package: PRSPGx
Title: Construct PGx PRS
Version: 0.3.0
Maintainer: Song Zhai <zsviolet1993@gmail.com>
Description: Construct pharmacogenomics (PGx) polygenic risk score (PRS) with PRS-PGx-Unadj (unadjusted), PRS-PGx-CT (clumping and thresholding), PRS-PGx-L, -GL, -SGL (penalized regression), PRS-PGx-Bayes (Bayesian regression). Package is based on ''Pharmacogenomics Polyenic Risk Score for Drug Response Prediction Using PRS-PGx Methods'' by Zhai, S., Zhang, H., Mehrotra, D.V., and Shen, J., 2021 (submitted).
License: GPL (>= 2)
Depends: R (>= 4.0.0)
Imports: gglasso (>= 1.5.0), SGL (>= 1.3.0), glmnet (>= 4.0.2), bigsnpr (>= 1.5.2), Matrix (>= 1.2.18), GIGrvg (>= 0.5.0), MCMCpack (>= 1.4.6), bdsmatrix (>= 1.3.4), bigsparser (>= 0.4.0), lmtest (>= 0.9.37), mvtnorm (>= 1.1.0), propagate (>= 1.0.6), bigparallelr (>= 0.2.3), methods (>= 3.6.3), bigstatsr (>= 1.2.3), Rfast (>= 1.9.9), matrixcalc (>= 1.0-3)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2022-07-19 15:16:57 UTC; zhaiso
Author: Song Zhai [aut, cre]
Repository: CRAN
Date/Publication: 2022-07-20 15:00:02 UTC

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Package preferably updated to version 0.4.1 with previous version 0.4 dated 2021-12-02

Title: A 'pkgdown' Template
Description: This is an accessible template for 'pkgdown'. It uses two bootstrap themes, Flatly and Darkly and utilizes the 'prefers-color-scheme' CSS variable to automatically serve either of the two based on user’s operating system setting, or allowing them to manually toggle between them.
Author: Amir Masoud Abdol [aut, cre]
Maintainer: Amir Masoud Abdol <i@amirmasoudabdol.name>

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Package pencal updated to version 1.2.2 with previous version 1.2.1 dated 2022-06-22

Title: Penalized Regression Calibration (PRC)
Description: Computes penalized regression calibration (PRC), a statistical method that allows to predict survival from high-dimensional longitudinal predictors. PRC is described in Signorelli et al. (2021, <doi:10.1002/sim.9178>)).
Author: Mirko Signorelli [aut, cre, cph] , Pietro Spitali [ctb], Roula Tsonaka [ctb]
Maintainer: Mirko Signorelli <msignorelli.rpackages@gmail.com>

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Package nhdplusTools updated to version 0.5.5 with previous version 0.5.4 dated 2022-07-19

Title: NHDPlus Tools
Description: Tools for traversing and working with National Hydrography Dataset Plus (NHDPlus) data. All methods implemented in 'nhdplusTools' are available in the NHDPlus documentation available from the US Environmental Protection Agency <https://www.epa.gov/waterdata/basic-information>.
Author: David Blodgett [aut, cre] , Mike Johnson [aut] , Marc Weber [ctb] , Josh Erickson [ctb]
Maintainer: David Blodgett <dblodgett@usgs.gov>

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Package netassoc updated to version 0.7.0 with previous version 0.6.3 dated 2017-06-05

Title: Inference of Species Associations from Co-Occurrence Data
Description: Infers species associations from community matrices. Uses local and (optional) regional-scale co-occurrence data by comparing observed partial correlation coefficients between species to those estimated from regional species distributions. Extends Gaussian graphical models to a null modeling framework. Provides interface to a variety of inverse covariance matrix estimation methods.
Author: Benjamin Blonder, Naia Morueta-Holme
Maintainer: Benjamin Blonder <benjamin.blonder@berkeley.edu>

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Package IDF updated to version 2.1.2 with previous version 2.1.1 dated 2022-03-03

Title: Estimation and Plotting of IDF Curves
Description: Intensity-duration-frequency (IDF) curves are a widely used analysis-tool in hydrology to assess extreme values of precipitation [e.g. Mailhot et al., 2007, <doi:10.1016/j.jhydrol.2007.09.019>]. The package 'IDF' provides functions to estimate IDF parameters for given precipitation time series on the basis of a duration-dependent generalized extreme value distribution [Koutsoyiannis et al., 1998, <doi:10.1016/S0022-1694(98)00097-3>].
Author: Felix S. Fauer [aut, cre], Jana Ulrich [aut], Laura Mack [ctb], Oscar E. Jurado [ctb], Christoph Ritschel [aut], Carola Detring [ctb], Sarah Joedicke [ctb]
Maintainer: Felix S. Fauer <felix.fauer@met.fu-berlin.de>

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Package ggside updated to version 0.2.1 with previous version 0.2.0 dated 2021-12-11

Title: Side Grammar Graphics
Description: The grammar of graphics as shown in 'ggplot2' has provided an expressive API for users to build plots. 'ggside' extends 'ggplot2' by allowing users to add graphical information about one of the main panel's axis using a familiar 'ggplot2' style API with tidy data. This package is particularly useful for visualizing metadata on a discrete axis, or summary graphics on a continuous axis such as a boxplot or a density distribution.
Author: Justin Landis [aut, cre]
Maintainer: Justin Landis <jtlandis314@gmail.com>

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Package geoknife updated to version 1.6.7 with previous version 1.6.6 dated 2021-12-10

Title: Web-Processing of Large Gridded Datasets
Description: Processes gridded datasets found on the U.S. Geological Survey Geo Data Portal web application or elsewhere, using a web-enabled workflow that eliminates the need to download and store large datasets that are reliably hosted on the Internet. The package provides access to several data subset and summarization algorithms that are available on remote web processing servers (Read et al. (2015) <doi:10.1111/ecog.01880>).
Author: Jordan Read [aut], Jordan Walker [aut], Alison Appling [aut], David Blodgett [aut, cre], Emily Read [aut], Luke Winslow [aut], Lindsay Carr [aut], David Watkins [aut]
Maintainer: David Blodgett <dblodgett@usgs.gov>

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Package fontawesome updated to version 0.3.0 with previous version 0.2.2 dated 2021-07-02

Title: Easily Work with 'Font Awesome' Icons
Description: Easily and flexibly insert 'Font Awesome' icons into 'R Markdown' documents and 'Shiny' apps. These icons can be inserted into HTML content through inline 'SVG' tags or 'i' tags. There is also a utility function for exporting 'Font Awesome' icons as 'PNG' images for those situations where raster graphics are needed.
Author: Richard Iannone [aut, cre] , Christophe Dervieux [ctb] , Winston Chang [ctb], Dave Gandy [ctb, cph] , RStudio [cph, fnd]
Maintainer: Richard Iannone <rich@rstudio.com>

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Package Rogue updated to version 2.1.1 with previous version 2.1.0 dated 2022-01-13

Title: Identify Rogue Taxa in Sets of Phylogenetic Trees
Description: Rogue ("wildcard") taxa are leaves with uncertain phylogenetic position. Their position may vary from tree to tree under inference methods that yield a tree set (e.g. bootstrapping, Bayesian tree searches, maximum parsimony). The presence of rogue taxa in a tree set can potentially remove all information from a consensus tree. The information content of a consensus tree - a function of its resolution and branch support values - can often be increased by removing rogue taxa. 'Rogue' provides an explicitly information-theoretic approach to rogue detection (Smith 2022) <doi:10.1093/sysbio/syab099>, and an interface to 'RogueNaRok' (Aberer et al. 2013) <doi:10.1093/sysbio/sys078>.
Author: Martin R. Smith [aut, cre, cph] , Andre J. Aberer [aut, cph]
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

Diff between Rogue versions 2.1.0 dated 2022-01-13 and 2.1.1 dated 2022-07-20

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Package mlrCPO updated to version 0.3.7-4 with previous version 0.3.7-3 dated 2021-11-10

Title: Composable Preprocessing Operators and Pipelines for Machine Learning
Description: Toolset that enriches 'mlr' with a diverse set of preprocessing operators. Composable Preprocessing Operators ("CPO"s) are first-class R objects that can be applied to data.frames and 'mlr' "Task"s to modify data, can be attached to 'mlr' "Learner"s to add preprocessing to machine learning algorithms, and can be composed to form preprocessing pipelines.
Author: Martin Binder [aut, cre], Bernd Bischl [ctb], Michel Lang [ctb], Lars Kotthoff [ctb]
Maintainer: Martin Binder <developer.mb706@doublecaret.com>

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Package hdme updated to version 0.5.0 with previous version 0.4.0 dated 2022-07-03

Title: High-Dimensional Regression with Measurement Error
Description: Penalized regression for generalized linear models for measurement error problems (aka. errors-in-variables). The package contains a version of the lasso (L1-penalization) which corrects for measurement error (Sorensen et al. (2015) <doi:10.5705/ss.2013.180>). It also contains an implementation of the Generalized Matrix Uncertainty Selector, which is a version the (Generalized) Dantzig Selector for the case of measurement error (Sorensen et al. (2018) <doi:10.1080/10618600.2018.1425626>).
Author: Oystein Sorensen [aut, cre]
Maintainer: Oystein Sorensen <oystein.sorensen.1985@gmail.com>

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Package processanimateR updated to version 1.0.5 with previous version 1.0.4 dated 2021-10-11

Title: Process Map Token Replay Animation
Description: Provides animated process maps based on the 'procesmapR' package. Cases stored in event logs created with with 'bupaR' S3 class eventlog() are rendered as tokens (SVG shapes) and animated according to their occurrence times on top of the process map. For rendering SVG animations ('SMIL') and the 'htmlwidget' package are used.
Author: Felix Mannhardt [aut, cre], Gert Janssenswillen [ctb]
Maintainer: Felix Mannhardt <f.mannhardt@tue.nl>

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Package serpstatr updated to version 0.2.0 with previous version 0.1.0 dated 2021-01-10

Title: 'Serpstat' API Wrapper
Description: The primary goal of 'Serpstat' API <https://serpstat.com/api/> is to reduce manual SEO (search engine optimization) and PPC (pay-per-click) tasks. You can automate your keywords research or competitors analysis with this API wrapper.
Author: Alex Danilin [aut, cre]
Maintainer: Alex Danilin <alexnikdanilin@gmail.com>

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Package container updated to version 1.0.2 with previous version 1.0.1 dated 2022-02-19

Title: Extending Base R List
Description: Extends the functionality of base R list and provides specialized data structures deque, set, dict, and 'dict.table', the latter to extend the 'data.table' package.
Author: Roman Pahl [aut, cre]
Maintainer: Roman Pahl <roman.pahl@gmail.com>

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Package gyro updated to version 1.1.0 with previous version 1.0.1 dated 2022-06-13

Title: Hyperbolic Geometry
Description: Hyperbolic geometry in the Minkowski model and the Poincaré model. The methods are based on the gyrovector space theory developed by A. A. Ungar that can be found in the book 'Analytic Hyperbolic Geometry: Mathematical Foundations And Applications' <doi:10.1142/5914>. The package provides functions to plot three-dimensional hyperbolic polyhedra and to plot hyperbolic tilings of the Poincaré disk.
Author: Stephane Laurent
Maintainer: Stephane Laurent <laurent_step@outlook.fr>

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Package quantreg updated to version 5.94 with previous version 5.93 dated 2022-05-02

Title: Quantile Regression
Description: Estimation and inference methods for models for conditional quantile functions: Linear and nonlinear parametric and non-parametric (total variation penalized) models for conditional quantiles of a univariate response and several methods for handling censored survival data. Portfolio selection methods based on expected shortfall risk are also now included. See Koenker, R. (2005) Quantile Regression, Cambridge U. Press, <doi:10.1017/CBO9780511754098> and Koenker, R. et al. (2017) Handbook of Quantile Regression, CRC Press, <doi:10.1201/9781315120256>.
Author: Roger Koenker [cre, aut], Stephen Portnoy [ctb] , Pin Tian Ng [ctb] , Blaise Melly [ctb] , Achim Zeileis [ctb] , Philip Grosjean [ctb] , Cleve Moler [ctb] , Yousef Saad [ctb] , Victor Chernozhukov [ctb] , Ivan Fernandez-Val [ctb] , Brian D Ripley [tr [...truncated...]
Maintainer: Roger Koenker <rkoenker@illinois.edu>

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Package fNonlinear updated to version 4021.80 with previous version 3042.79 dated 2017-11-16

Title: Rmetrics - Nonlinear and Chaotic Time Series Modelling
Description: Provides a collection of functions for testing various aspects of univariate time series including independence and neglected nonlinearities. Further provides functions to investigate the chaotic behavior of time series processes and to simulate different types of chaotic time series maps.
Author: Diethelm Wuertz [aut], Tobias Setz [aut], Yohan Chalabi [aut], Paul Smith [cre]
Maintainer: Paul Smith <paul@waternumbers.co.uk>

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Package fCopulae updated to version 4021.84 with previous version 3042.82.1 dated 2020-03-07

Title: Rmetrics - Bivariate Dependence Structures with Copulae
Description: Provides a collection of functions to manage, to investigate and to analyze bivariate financial returns by Copulae. Included are the families of Archemedean, Elliptical, Extreme Value, and Empirical Copulae.
Author: Diethelm Wuertz [aut], Tobias Setz [aut], Yohan Chalabi [ctb], Paul Smith [cre]
Maintainer: Paul Smith <paul@waternumbers.co.uk>

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Package qgg (with last version 1.1.0) was removed from CRAN

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

2022-06-27 1.1.0
2020-06-29 1.0.4
2020-04-21 1.0.3

Permanent link

Tue, 19 Jul 2022

Package piggyback updated to version 0.1.4 with previous version 0.1.3 dated 2022-05-19

Title: Managing Larger Data on a GitHub Repository
Description: Because larger (> 50 MB) data files cannot easily be committed to git, a different approach is required to manage data associated with an analysis in a GitHub repository. This package provides a simple work-around by allowing larger (up to 2 GB) data files to piggyback on a repository as assets attached to individual GitHub releases. These files are not handled by git in any way, but instead are uploaded, downloaded, or edited directly by calls through the GitHub API. These data files can be versioned manually by creating different releases. This approach works equally well with public or private repositories. Data can be uploaded and downloaded programmatically from scripts. No authentication is required to download data from public repositories.
Author: Carl Boettiger [aut, cre, cph] , Tan Ho [aut] , Mark Padgham [ctb] , Jeffrey O Hanson [ctb] , Kevin Kuo [ctb]
Maintainer: Carl Boettiger <cboettig@gmail.com>

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Package JBrowseR updated to version 0.9.1 with previous version 0.9.0 dated 2021-10-17

Title: An R Interface to the JBrowse 2 Genome Browser
Description: Provides an R interface to the JBrowse 2 genome browser. Enables embedding a JB2 genome browser in a Shiny app or R Markdown document. The browser can also be launched from an interactive R console. The browser can be loaded with a variety of common genomics data types, and can be used with a custom theme.
Author: Elliot Hershberg [aut, cre] , the JBrowse 2 Team [aut]
Maintainer: Elliot Hershberg <eahershberg@gmail.com>

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Package orthoDr updated to version 0.6.5 with previous version 0.6.4 dated 2019-09-05

Title: Semi-Parametric Dimension Reduction Models Using Orthogonality Constrained Optimization
Description: Utilize an orthogonality constrained optimization algorithm of Wen & Yin (2013) <DOI:10.1007/s10107-012-0584-1> to solve a variety of dimension reduction problems in the semiparametric framework, such as Ma & Zhu (2012) <DOI:10.1080/01621459.2011.646925>, Ma & Zhu (2013) <DOI:10.1214/12-AOS1072>, Sun, Zhu, Wang & Zeng (2019) <arXiv:1704.05046> and Zhou, Zhu & Zeng (2021) <arXiv:1802.06156>. It also serves as a general purpose optimization solver for problems with orthogonality constraints. Parallel computing for approximating the gradient is enabled through 'OpenMP'.
Author: Ruilin Zhao [aut, cph], Ruoqing Zhu [aut, cre, cph] , Jiyang Zhang [aut, cph], Wenzhuo Zhou [aut, cph], Peng Xu [aut, cph], James Joseph Balamuta [ctb]
Maintainer: Ruoqing Zhu <teazrq@gmail.com>

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Package igraph updated to version 1.3.4 with previous version 1.3.3 dated 2022-07-14

Title: Network Analysis and Visualization
Description: Routines for simple graphs and network analysis. It can handle large graphs very well and provides functions for generating random and regular graphs, graph visualization, centrality methods and much more.
Author: See AUTHORS file.
Maintainer: Tamas Nepusz <ntamas@gmail.com>

Diff between igraph versions 1.3.3 dated 2022-07-14 and 1.3.4 dated 2022-07-19

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New package DRDID with initial version 1.0.4
Package: DRDID
Title: Doubly Robust Difference-in-Differences Estimators
Version: 1.0.4
Description: Implements the locally efficient doubly robust difference-in-differences (DiD) estimators for the average treatment effect proposed by Sant'Anna and Zhao (2020) <doi:10.1016/j.jeconom.2020.06.003>. The estimator combines inverse probability weighting and outcome regression estimators (also implemented in the package) to form estimators with more attractive statistical properties. Two different estimation methods can be used to estimate the nuisance functions.
URL: https://psantanna.com/DRDID/, https://github.com/pedrohcgs/DRDID
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0)
Imports: stats, trust, BMisc (>= 1.4.1)
Suggests: knitr, rmarkdown, spelling, testthat
Date: 2022-07-19
Language: en-US
BugReports: https://github.com/pedrohcgs/DRDID/issues
NeedsCompilation: no
Packaged: 2022-07-19 20:55:52 UTC; psantanna
Author: Pedro H. C. Sant'Anna [aut, cre], Jun Zhao [aut]
Maintainer: Pedro H. C. Sant'Anna <pedro.h.santanna@vanderbilt.edu>
Repository: CRAN
Date/Publication: 2022-07-19 21:40:02 UTC

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Package DMRnet updated to version 0.3.1 with previous version 0.2.0 dated 2018-03-24

Title: Delete or Merge Regressors Algorithms for Linear and Logistic Model Selection and High-Dimensional Data
Description: Model selection algorithms for regression and classification, where the predictors can be continuous or categorical and the number of regressors may exceed the number of observations. The selected model consists of a subset of numerical regressors and partitions of levels of factors. Aleksandra Maj-Kańska, Piotr Pokarowski and Agnieszka Prochenka, 2015. Delete or merge regressors for linear model selection. Electronic Journal of Statistics 9(2): 1749-1778. <https://projecteuclid.org/euclid.ejs/1440507392>. Piotr Pokarowski and Jan Mielniczuk, 2015. Combined l1 and greedy l0 penalized least squares for linear model selection. Journal of Machine Learning Research 16(29): 961-992. <https://www.jmlr.org/papers/volume16/pokarowski15a/pokarowski15a.pdf>. Piotr Pokarowski, Wojciech Rejchel, Agnieszka Sołtys, Michał Frej and Jan Mielniczuk, 2022. Improving Lasso for model selection and prediction. Scandinavian Journal of Statistics, 49(2): 831–863. <doi:10.1111/sjos.12546>.
Author: Agnieszka Prochenka-Soltys [aut] , Piotr Pokarowski [aut], Szymon Nowakowski [aut, cre]
Maintainer: Szymon Nowakowski <s.nowakowski@mimuw.edu.pl>

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Package SPARSEMODr updated to version 1.2.0 with previous version 1.1.0 dated 2021-07-01

Title: SPAtial Resolution-SEnsitive Models of Outbreak Dynamics
Description: Implementation of spatially-explicit, stochastic disease models with customizable time windows that describe how parameter values fluctuate during outbreaks (e.g., in response to public health or conservation interventions).
Author: Joseph Mihaljevic [aut, cre] , Toby Hocking [ctb] , Seth Borkovec [ctb] , Saikanth Ratnavale [ctb]
Maintainer: Joseph Mihaljevic <Joseph.Mihaljevic@nau.edu>

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Package webdeveloper updated to version 1.0.2 with previous version 1.0.1 dated 2022-07-06

Title: Functions for Web Development
Description: Organizational framework for web development in R including functions to serve static and dynamic content via HTTP methods, includes the html5 package to create HTML pages, and offers other utility functions for common tasks related to web development.
Author: Timothy Conwell
Maintainer: Timothy Conwell <timconwell@gmail.com>

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Package RaceID updated to version 0.2.4 with previous version 0.2.3 dated 2021-04-08

Title: Identification of Cell Types and Inference of Lineage Trees from Single-Cell RNA-Seq Data
Description: Application of 'RaceID' allows inference of cell types and prediction of lineage trees by he StemID2 algorithm. Herman, J.S., Sagar, Grün D. (2018) <DOI:10.1038/nmeth.4662>.
Author: Dominic Gruen <dominic.gruen@gmail.com>
Maintainer: Dominic Gruen <dominic.gruen@gmail.com>

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Package bsTools updated to version 1.0.2 with previous version 1.0.0 dated 2022-06-22

Title: Create HTML Content with Bootstrap 5 Classes and Layouts
Description: Functions are pre-configured to utilize Bootstrap 5 classes and HTML structures to create Bootstrap-styled HTML quickly and easily. Includes functions for creating common Bootstrap elements such as containers, rows, cols, navbars, etc. Intended to be used with the html5 package. Learn more at <https://getbootstrap.com/>.
Author: Timothy Conwell
Maintainer: Timothy Conwell <timconwell@gmail.com>

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Package TidyDensity updated to version 1.2.1 with previous version 1.2.0 dated 2022-06-08

Title: Functions for Tidy Analysis and Generation of Random Data
Description: To make it easy to generate random numbers based upon the underlying stats distribution functions. All data is returned in a tidy and structured format making working with the data simple and straight forward. Given that the data is returned in a tidy 'tibble' it lends itself to working with the rest of the 'tidyverse'.
Author: Steven Sanderson [aut, cre], Steven Sanderson [cph]
Maintainer: Steven Sanderson <spsanderson@gmail.com>

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Package SpatialVx updated to version 1.0 with previous version 0.9 dated 2022-01-27

Title: Spatial Forecast Verification
Description: Spatial forecast verification refers to verifying weather forecasts when the verification set (forecast and observations) is on a spatial field, usually a high-resolution gridded spatial field. Most of the functions here require the forecast and observed fields to be gridded and on the same grid. For a thorough review of most of the methods in this package, please see Gilleland et al. (2009) <doi: 10.1175/2009WAF2222269.1> and for a tutorial on some of the main functions available here, see Gilleland (2022) <doi: 10.5065/4px3-5a05>.
Author: Eric Gilleland [aut, cre], Kim Elmore [ctb], Caren Marzban [ctb], Matt Pocernich [ctb], Gregor Skok [ctb]
Maintainer: Eric Gilleland <EricG@ucar.edu>

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Package musclesyneRgies updated to version 1.2.5 with previous version 1.1.3 dated 2022-02-10

Title: Extract Muscle Synergies from Electromyography
Description: Provides a framework to factorise electromyography (EMG) data. Tools are provided for raw data pre-processing, non negative matrix factorisation, classification of factorised data and plotting of obtained outcomes. In particular, reading from ASCII files is supported, along with wide-used filtering approaches to process EMG data. All steps include one or more sensible defaults that aim at simplifying the workflow. Yet, all functions are largely tunable at need. Example data sets are included.
Author: Alessandro Santuz [aut, cre]
Maintainer: Alessandro Santuz <alessandro.santuz@gmail.com>

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Package listdown updated to version 0.5.2 with previous version 0.4.1 dated 2020-12-07

Title: Create R Markdown from Lists
Description: Programmatically create R Markdown documents from lists.
Author: Michael J. Kane [aut, cph, cre]
Maintainer: Michael J. Kane <michael.kane@yale.edu>

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Package biogrowth updated to version 1.0.0-2 with previous version 1.0.0 dated 2022-05-31

Title: Modelling of Population Growth
Description: Modelling of population growth under static and dynamic environmental conditions. Includes functions for model fitting and making prediction under isothermal and dynamic conditions. The methods (algorithms & models) are based on predictive microbiology (See Perez-Rodriguez and Valero (2012, ISBN:978-1-4614-5519-6)).
Author: Alberto Garre [aut, cre] , Jeroen Koomen [aut], Heidy den Besten [aut], Marcel Zwietering [aut]
Maintainer: Alberto Garre <garre.alberto@gmail.com>

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Package healthyR.ts updated to version 0.2.1 with previous version 0.2.0 dated 2022-06-09

Title: The Time Series Modeling Companion to 'healthyR'
Description: Hospital time series data analysis workflow tools, modeling, and automations. This library provides many useful tools to review common administrative time series hospital data. Some of these include average length of stay, and readmission rates. The aim is to provide a simple and consistent verb framework that takes the guesswork out of everything.
Author: Steven Sanderson [aut, cre], Steven Sanderson [cph]
Maintainer: Steven Sanderson <spsanderson@gmail.com>

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Package ggdist updated to version 3.2.0 with previous version 3.1.1 dated 2022-02-27

Title: Visualizations of Distributions and Uncertainty
Description: Provides primitives for visualizing distributions using 'ggplot2' that are particularly tuned for visualizing uncertainty in either a frequentist or Bayesian mode. Both analytical distributions (such as frequentist confidence distributions or Bayesian priors) and distributions represented as samples (such as bootstrap distributions or Bayesian posterior samples) are easily visualized. Visualization primitives include but are not limited to: points with multiple uncertainty intervals, eye plots (Spiegelhalter D., 1999) <https://ideas.repec.org/a/bla/jorssa/v162y1999i1p45-58.html>, density plots, gradient plots, dot plots (Wilkinson L., 1999) <doi:10.1080/00031305.1999.10474474>, quantile dot plots (Kay M., Kola T., Hullman J., Munson S., 2016) <doi:10.1145/2858036.2858558>, complementary cumulative distribution function barplots (Fernandes M., Walls L., Munson S., Hullman J., Kay M., 2018) <doi:10.1145/3173574.3173718>, and fit curves with multiple uncertainty ribbons.
Author: Matthew Kay [aut, cre], Brenton M. Wiernik [ctb]
Maintainer: Matthew Kay <mjskay@northwestern.edu>

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 inst/doc/lineribbon.R                                                                        |   30 
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 man/RankCorr.Rd                                                                              |    6 
 man/cut_cdf_qi.Rd                                                                            |   32 
 man/geom_dotsinterval.Rd                                                                     |   20 
 man/geom_interval.Rd                                                                         |    4 
 man/geom_pointinterval.Rd                                                                    |    4 
 man/geom_slab.Rd                                                                             |    4 
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 man/lkjcorr_marginal.Rd                                                                      |    8 
 man/scale_colour_ramp.Rd                                                                     |    9 
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 man/scales.Rd                                                                                |   23 
 man/stat_ccdfinterval.Rd                                                                     |   21 
 man/stat_cdfinterval.Rd                                                                      |   21 
 man/stat_eye.Rd                                                                              |   19 
 man/stat_gradientinterval.Rd                                                                 |   21 
 man/stat_halfeye.Rd                                                                          |   15 
 man/stat_histinterval.Rd                                                                     |   19 
 man/stat_interval.Rd                                                                         |   14 
 man/stat_lineribbon.Rd                                                                       |   14 
 man/stat_pointinterval.Rd                                                                    |   14 
 man/stat_ribbon.Rd                                                                           |   14 
 man/stat_slab.Rd                                                                             |   19 
 man/stat_slabinterval.Rd                                                                     |   15 
 man/student_t.Rd                                                                             |    8 
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 tests/testthat/test.point_interval.R                                                         |   63 
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 vignettes/dotsinterval.Rmd                                                                   |   33 
 vignettes/freq-uncertainty-vis.Rmd                                                           |    6 
 vignettes/lineribbon.Rmd                                                                     |   85 
 vignettes/slabinterval.Rmd                                                                   |  167 -
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Package refineR updated to version 1.5.1 with previous version 1.5.0 dated 2022-06-03

Title: Reference Interval Estimation using Real-World Data
Description: Indirect method for the estimation of reference intervals using Real-World Data ('RWD'). It takes routine measurements of diagnostic tests, containing pathological and non-pathological samples as input and uses sophisticated statistical methods to derive a model describing the distribution of the non-pathological samples. This distribution can then be used to derive reference intervals. Furthermore, the package offers functions for printing and plotting the results of the algorithm. See ?refineR for a more comprehensive description of the features. Version 1.0 of the algorithm is described in detail in Ammer T., Schuetzenmeister A., Prokosch H.-U., Rauh M., Rank C.M., Zierk J. "refineR: A Novel Algorithm for Reference Interval Estimation from Real-World Data". Scientific Reports (2021) <doi:10.1038/s41598-021-95301-2>.
Author: Tatjana Ammer [aut, cre], Christopher M Rank [aut], Andre Schuetzenmeister [aut]
Maintainer: Tatjana Ammer <tatjana.ammer@roche.com>

Diff between refineR versions 1.5.0 dated 2022-06-03 and 1.5.1 dated 2022-07-19

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Package coro updated to version 1.0.3 with previous version 1.0.2 dated 2021-12-03

Title: 'Coroutines' for R
Description: Provides 'coroutines' for R, a family of functions that can be suspended and resumed later on. This includes 'async' functions (which await) and generators (which yield). 'Async' functions are based on the concurrency framework of the 'promises' package. Generators are based on a dependency free iteration protocol defined in 'coro' and are compatible with iterators from the 'reticulate' package.
Author: Lionel Henry [aut, cre], RStudio [cph, fnd]
Maintainer: Lionel Henry <lionel@rstudio.com>

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Package ltable updated to version 2.0.2 with previous version 2.0.1 dated 2021-11-22

Title: Easy to Make (Lazy) Tables
Description: Constructs tables of counts and proportions out of data sets with possibility to insert tables to Excel, Word, HTML, and PDF documents. Transforms tables to data suitable for modelling. Features Gibbs sampling based log-linear (NB2) and power analyses (original by Oleksandr Ocheredko <doi:10.35566/isdsa2019c5>) for tabulated data.
Author: Ocheredko Oleksandr
Maintainer: Ocheredko Oleksandr <Ocheredko@yahoo.com>

Diff between ltable versions 2.0.1 dated 2021-11-22 and 2.0.2 dated 2022-07-19

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New package imputeREE with initial version 0.0.1
Package: imputeREE
Title: Impute Missing Rare Earth Element Data Using a Lattice-Strain Derived Method
Version: 0.0.1
Description: Set of functions that fit a linear regression to calculate missing Rare Earth Element (REE) in zircon based on a method derived from the lattice strain theory of Blundy and Wood (1994)<doi:10.1038/372452a0>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: testthat (>= 3.0.0)
Imports: tibble, dplyr, magrittr, tidyr, stringr, purrr, rlang, broom
Depends: R (>= 4.0)
NeedsCompilation: no
Packaged: 2022-07-18 04:56:34 UTC; ccarr
Author: Carlos Carrasco Godoy [aut, cre]
Maintainer: Carlos Carrasco Godoy <carlos.Carrasco@anu.edu.au>
Repository: CRAN
Date/Publication: 2022-07-19 14:50:01 UTC

More information about imputeREE at CRAN
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Package delaunay updated to version 1.1.0 with previous version 1.0.0 dated 2022-07-06

Title: 2d, 2.5d, and 3d Delaunay Tessellations
Description: Construction and visualization of 2d Delaunay triangulations, possibly constrained, 2.5d (i.e. elevated) Delaunay triangulations, and 3d Delaunay triangulations.
Author: Stephane Laurent
Maintainer: Stephane Laurent <laurent_step@outlook.fr>

Diff between delaunay versions 1.0.0 dated 2022-07-06 and 1.1.0 dated 2022-07-19

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New package climetrics with initial version 1.0-5
Package: climetrics
Title: Climate Change Metrics
Version: 1.0-5
Date: 2022-07-18
Depends: methods, sp (>= 1.2-0), R (>= 3.5.0), rts
Imports: raster, terra, zoo, yaImpute, xts
Suggests: R.rsp
VignetteBuilder: R.rsp
Description: A framework that facilitates spatio-temporal analysis of climate dynamics through exploring and measuring different dimensions of climate change in space and time.
License: GPL (>= 3)
Encoding: UTF-8
URL: http://r-gis.net
BugReports: https://github.com/shirintaheri/climetrics/issues/
NeedsCompilation: no
Packaged: 2022-07-18 12:06:32 UTC; babak
Author: Shirin Taheri [cre, aut] , Babak Naimi [aut] , Miguel Araujo [aut]
Maintainer: Shirin Taheri <taheri.shi@gmail.com>
Repository: CRAN
Date/Publication: 2022-07-19 15:00:05 UTC

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New package bartcs with initial version 0.1.1
Package: bartcs
Title: Bayesian Additive Regression Trees for Confounder Selection
Version: 0.1.1
Description: Fit Bayesian Regression Additive Trees (BART) models to select relevant confounders among a large set of potential confounders and to estimate average treatment effect. For more information, see Kim et al. (2022) <doi:10.48550/arXiv.2203.11798>.
License: GPL (>= 3)
URL: https://github.com/yooyh/bartcs
BugReports: https://github.com/yooyh/bartcs/issues
Depends: R (>= 2.10)
Imports: ggcharts, ggplot2, invgamma, MCMCpack, Rcpp, rlang, rootSolve, stats
Suggests: knitr, microbenchmark, rmarkdown
LinkingTo: Rcpp
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2022-07-18 05:52:07 UTC; yhoon
Author: Yeonghoon Yoo [aut, cre]
Maintainer: Yeonghoon Yoo <yooyh.stat@gmail.com>
Repository: CRAN
Date/Publication: 2022-07-19 14:50:05 UTC

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Package timeDate updated to version 4021.104 with previous version 3043.102 dated 2018-02-21

Title: Rmetrics - Chronological and Calendar Objects
Description: The 'timeDate' class fulfils the conventions of the ISO 8601 standard as well as of the ANSI C and POSIX standards. Beyond these standards it provides the "Financial Center" concept which allows to handle data records collected in different time zones and mix them up to have always the proper time stamps with respect to your personal financial center, or alternatively to the GMT reference time. It can thus also handle time stamps from historical data records from the same time zone, even if the financial centers changed day light saving times at different calendar dates.
Author: Diethelm Wuertz [aut] , Tobias Setz [aut], Yohan Chalabi [aut], Martin Maechler [ctb] , Joe W. Byers [ctb], Georgi N. Boshnakov [cre, ctb]
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>

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Package ORKM updated to version 0.4.0.0 with previous version 0.3.0.0 dated 2022-06-10

Title: The Online Regularized K-Means Clustering Algorithm
Description: Algorithm of online regularized k-means to deal with online multi(single) view data. The philosophy of the package is described in Guo G. (2020) <doi:10.1080/02331888.2020.1823979>.
Author: Guangbao Guo [aut, cre] , Miao Yu [aut], Haoyue Song [aut], Ruiling Niu [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>

Diff between ORKM versions 0.3.0.0 dated 2022-06-10 and 0.4.0.0 dated 2022-07-19

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Package cleaR updated to version 0.0.4 with previous version 0.0.3 dated 2022-06-27

Title: Clean the R Console and Environment
Description: Small package to clean the R console and the R environment with the call of just one function.
Author: Jonathan M. Mang [aut, cre] , MIRACUM - Medical Informatics in Research and Care in University Medicine [fnd], Universitaetsklinikum Erlangen, Germany [cph]
Maintainer: Jonathan M. Mang <jonathan.mang@uk-erlangen.de>

Diff between cleaR versions 0.0.3 dated 2022-06-27 and 0.0.4 dated 2022-07-19

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Package prospectr updated to version 0.2.5 with previous version 0.2.4 dated 2022-04-03

Title: Miscellaneous Functions for Processing and Sample Selection of Spectroscopic Data
Description: Functions to preprocess spectroscopic data and conduct (representative) sample selection/calibration sampling.
Author: Antoine Stevens [aut, cre] , Leonardo Ramirez-Lopez [aut, cre] , Guillaume Hans [ctb]
Maintainer: Leonardo Ramirez-Lopez <ramirez.lopez.leo@gmail.com>

Diff between prospectr versions 0.2.4 dated 2022-04-03 and 0.2.5 dated 2022-07-19

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Package lidaRtRee updated to version 4.0.3 with previous version 4.0.2 dated 2022-07-18

Title: Forest Analysis with Airborne Laser Scanning (LiDAR) Data
Description: Provides functions for forest analysis using airborne laser scanning (LiDAR remote sensing) data: tree detection (method 1 in Eysn et al. (2015) <doi:10.3390/f6051721>) and segmentation; forest parameters estimation and mapping with the area-based approach. It includes complementary steps for forest mapping: co-registration of field plots with LiDAR data (Monnet and Mermin (2014) <doi:10.3390/f5092307>); extraction of both physical (gaps, edges, trees) and statistical features from LiDAR data useful for e.g. habitat suitability modeling (Glad et al. (2020) <doi:10.1002/rse2.117>) and forest maturity mapping (Fuhr et al. (2022) <doi:10.1002/rse2.274>); model calibration with ground reference, and maps export.
Author: Jean-Matthieu Monnet [aut, cre] , Pascal Obstetar [ctb]
Maintainer: Jean-Matthieu Monnet <jean-matthieu.monnet@inrae.fr>

Diff between lidaRtRee versions 4.0.2 dated 2022-07-18 and 4.0.3 dated 2022-07-19

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Package POFIBGE (with last version 0.1.6) was removed from CRAN

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

2022-03-25 0.1.6
2021-11-30 0.1.5
2021-10-15 0.1.4
2021-06-24 0.1.3
2021-05-04 0.1.2
2021-04-22 0.1.1
2020-12-16 0.1.0

Permanent link
Package surveillance updated to version 1.20.1 with previous version 1.20.0 dated 2022-02-16

Title: Temporal and Spatio-Temporal Modeling and Monitoring of Epidemic Phenomena
Description: Statistical methods for the modeling and monitoring of time series of counts, proportions and categorical data, as well as for the modeling of continuous-time point processes of epidemic phenomena. The monitoring methods focus on aberration detection in count data time series from public health surveillance of communicable diseases, but applications could just as well originate from environmetrics, reliability engineering, econometrics, or social sciences. The package implements many typical outbreak detection procedures such as the (improved) Farrington algorithm, or the negative binomial GLR-CUSUM method of H<f6>hle and Paul (2008) <doi:10.1016/j.csda.2008.02.015>. A novel CUSUM approach combining logistic and multinomial logistic modeling is also included. The package contains several real-world data sets, the ability to simulate outbreak data, and to visualize the results of the monitoring in a temporal, spatial or spatio-temporal fashion. A recent overview of the available monitoring procedures is given by Salmon et al. (2016) <doi:10.18637/jss.v070.i10>. For the retrospective analysis of epidemic spread, the package provides three endemic-epidemic modeling frameworks with tools for visualization, likelihood inference, and simulation. hhh4() estimates models for (multivariate) count time series following Paul and Held (2011) <doi:10.1002/sim.4177> and Meyer and Held (2014) <doi:10.1214/14-AOAS743>. twinSIR() models the susceptible-infectious-recovered (SIR) event history of a fixed population, e.g, epidemics across farms or networks, as a multivariate point process as proposed by H<f6>hle (2009) <doi:10.1002/bimj.200900050>. twinstim() estimates self-exciting point process models for a spatio-temporal point pattern of infective events, e.g., time-stamped geo-referenced surveillance data, as proposed by Meyer et al. (2012) <doi:10.1111/j.1541-0420.2011.01684.x>. A recent overview of the implemented space-time modeling frameworks for epidemic phenomena is given by Meyer et al. (2017) <doi:10.18637/jss.v077.i11>.
Author: Michael H<f6>hle [aut, ths] , Sebastian Meyer [aut, cre] , Michaela Paul [aut], Leonhard Held [ctb, ths], Howard Burkom [ctb], Thais Correa [ctb], Mathias Hofmann [ctb], Christian Lang [ctb], Juliane Manitz [ctb], Andrea Riebler [ctb], Daniel Saban<e [...truncated...]
Maintainer: Sebastian Meyer <seb.meyer@fau.de>

Diff between surveillance versions 1.20.0 dated 2022-02-16 and 1.20.1 dated 2022-07-19

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Package rpredictit updated to version 0.1.0 with previous version 0.0.2 dated 2020-03-18

Title: Interface to the 'PredictIt' API
Description: Wrapper to retrieve market data, explore available markets, and plot historical price data from the 'PredictIt' public API (<https://www.predictit.org/api/marketdata/all/>). The package comes with a demo 'shiny' application for illustrating example use cases. License to use data made available via the API is for non-commercial use and 'PredictIt' is the sole source of such data.
Author: Daniel Kovtun [cre, aut]
Maintainer: Daniel Kovtun <quantumfusetrader@gmail.com>

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Package prettifyAddins updated to version 2.5.0 with previous version 2.4.0 dated 2022-01-25

Title: 'RStudio' Addins to Prettify 'JavaScript', 'C++', 'Python', and More
Description: Provides 'RStudio' addins to prettify 'HTML', 'CSS', 'SCSS', 'JavaScript', 'JSX', 'Markdown', 'C(++)', 'LaTeX', 'Python', 'Julia', 'XML', 'Java', 'JSON', 'Ruby', and to reindent 'C(++)', 'Fortran', 'Java', 'Julia', 'Python', 'SAS', 'Scala', 'Shell', 'SQL' and "TypeScript". Two kinds of addins are provided: 'Prettify' and 'Indent'. The 'Indent' addins only reindent the code, while the 'Prettify' addins also modify the code, e.g. trailing semi-colons are added to 'JavaScript' code when they are missing.
Author: Stephane Laurent [aut, cre], James Long and contributors [cph] , Zeb Zhao [cph] , Marijn Haverbeke [cph] , George Leslie-Waksman and other contributors [cph] , Austin Cheney [cph] , John Schlinkert [ctb, cph]
Maintainer: Stephane Laurent <laurent_step@outlook.fr>

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Package jacobi updated to version 2.0.0 with previous version 1.0.0 dated 2022-06-22

Title: Jacobi Theta Functions and Related Functions
Description: Evaluation of the Jacobi theta functions and related functions: Weierstrass elliptic function, Weierstrass sigma function, Weierstrass zeta function, Klein j-function, Dedekind eta function, lambda modular function, Jacobi elliptic functions, Neville theta functions, and Eisenstein series. Complex values of the variable are supported.
Author: Stephane Laurent [aut, cre], Mikael Fremling [aut]
Maintainer: Stephane Laurent <laurent_step@outlook.fr>

Diff between jacobi versions 1.0.0 dated 2022-06-22 and 2.0.0 dated 2022-07-19

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More information about jacobi at CRAN
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Package isogeochem updated to version 1.1.0 with previous version 1.0.9 dated 2021-11-07

Title: Tools for Stable Isotope Geochemistry
Description: This toolbox makes working with oxygen, carbon, and clumped isotope data reproducible and straightforward. Use it to quickly calculate isotope fractionation factors, and apply paleothermometry equations.
Author: David Bajnai [aut, cre] , Julian Toedter [ctb]
Maintainer: David Bajnai <david.bajnai@uni-goettingen.de>

Diff between isogeochem versions 1.0.9 dated 2021-11-07 and 1.1.0 dated 2022-07-19

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More information about isogeochem at CRAN
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New package bursts with initial version 1.0-2
Package: bursts
Title: Markov Model for Bursty Behavior in Streams
Version: 1.0-2
Date: 2022-07-14
Author: Jeff Binder [aut, cre]
Maintainer: Jeff Binder <extruded@gmail.com>
Imports: graphics
Description: An implementation of Jon Kleinberg's burst detection algorithm (Kleinberg (2003) <doi:10.1023/A:1024940629314>). Uses an infinite Markov model to detect periods of increased activity in a series of discrete events with known times, and provides a simple visualization of the results.
License: MIT + file LICENSE
Copyright: (c) 2012 NYU School of Medicine; (c) 2012-22 Jeff Binder
Packaged: 2022-07-18 21:44:48 UTC; jechk
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2022-07-19 11:30:02 UTC

More information about bursts at CRAN
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Package FossilSim updated to version 2.3.1 with previous version 2.3.0 dated 2022-04-19

Title: Simulation of Fossil and Taxonomy Data
Description: Simulating taxonomy and fossil data on phylogenetic trees under mechanistic models of speciation, preservation and sampling.
Author: Rachel Warnock [aut, cph], Joelle Barido-Sottani [aut, cre, cph], Walker Pett [aut, cph], O'Reilly Joseph [aut, cph]
Maintainer: Joelle Barido-Sottani <joelle.barido-sottani@m4x.org>

Diff between FossilSim versions 2.3.0 dated 2022-04-19 and 2.3.1 dated 2022-07-19

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Package radiant.data updated to version 1.4.4 with previous version 1.4.3 dated 2022-07-18

Title: Data Menu for Radiant: Business Analytics using R and Shiny
Description: The Radiant Data menu includes interfaces for loading, saving, viewing, visualizing, summarizing, transforming, and combining data. It also contains functionality to generate reproducible reports of the analyses conducted in the application.
Author: Vincent Nijs [aut, cre]
Maintainer: Vincent Nijs <radiant@rady.ucsd.edu>

Diff between radiant.data versions 1.4.3 dated 2022-07-18 and 1.4.4 dated 2022-07-19

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More information about radiant.data at CRAN
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Package plot3logit updated to version 3.1.3 with previous version 3.1.2 dated 2022-04-15

Title: Ternary Plots for Trinomial Regression Models
Description: An implementation of the ternary plot for interpreting regression coefficients of trinomial regression models, as proposed in Santi, Dickson and Espa (2019) <doi:10.1080/00031305.2018.1442368>. Ternary plots can be drawn using either 'ggtern' package (based on 'ggplot2') or 'Ternary' package (based on standard graphics). The package and its features are illustrated in Santi, Dickson, Espa and Giuliani (2022) <doi:10.18637/jss.v103.c01>.
Author: Flavio Santi [cre, aut] , Maria Michela Dickson [aut] , Giuseppe Espa [aut] , Diego Giuliani [aut]
Maintainer: Flavio Santi <flavio.santi@univr.it>

Diff between plot3logit versions 3.1.2 dated 2022-04-15 and 3.1.3 dated 2022-07-19

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Package nhdplusTools updated to version 0.5.4 with previous version 0.5.3 dated 2022-05-27

Title: NHDPlus Tools
Description: Tools for traversing and working with National Hydrography Dataset Plus (NHDPlus) data. All methods implemented in 'nhdplusTools' are available in the NHDPlus documentation available from the US Environmental Protection Agency <https://www.epa.gov/waterdata/basic-information>.
Author: David Blodgett [aut, cre] , Mike Johnson [aut] , Marc Weber [ctb] , Josh Erickson [ctb]
Maintainer: David Blodgett <dblodgett@usgs.gov>

Diff between nhdplusTools versions 0.5.3 dated 2022-05-27 and 0.5.4 dated 2022-07-19

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Package mfaces updated to version 0.1-4 with previous version 0.1-3 dated 2021-04-30

Title: Fast Covariance Estimation for Multivariate Sparse Functional Data
Description: Multivariate functional principal component analysis via fast covariance estimation for multivariate sparse functional data or longitudinal data proposed by Li, Xiao, and Luo (2020) <doi: 10.1002/sta4.245>.
Author: Cai Li [aut,cre] and Luo Xiao [aut]
Maintainer: Cai Li <cai.li.stats@gmail.com>

Diff between mfaces versions 0.1-3 dated 2021-04-30 and 0.1-4 dated 2022-07-19

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Package DEET updated to version 1.0.5 with previous version 1.0.2 dated 2022-06-27

Title: Differential Expression Enrichment Tool
Description: RNA sequencing (RNA-seq) followed by differential gene expression analyses is a fundamental approach for making biological discoveries. Ongoing large-scale efforts to systematically process and normalize publicly available gene expression data facilitate rapid reanalyses of specific studies and the development of new methods for querying it. While there are several powerful tools for querying systematically processed publicly available RNA-seq data at the individual sample level, there are fewer options for querying differentially expressed gene (DEG) lists generated from these experiments. Here, we present the Differential Expression Enrichment Tool (DEET), which allows users to interact with 3162 consistently processed DEG lists curated from 142 RNA-seq datasets obtained from recount2 database, which contains data from consortiums (GTex, TCGA) and individual labs (SRA). To establish DEET we integrated systematically processed human RNA-seq data from recount2 with reported and predicted metadata from multiple sources and developed a CRAN R package and Shiny App where users can compare their genes, p-values, and coefficients against the DEG lists within DEET. Here we present DEET and demonstrate how it can facilitate hypothesis generation and provide biological insight from user-defined differential gene expression results. Reference: Sokolowski,D.J., Ahn J., Erdman,L., Hou,H., Ellis,K., Wang L., Goldenberg,A., and Wilson,M.D. (2022) Differential Expression Enrichment Tool (DEET): An interactive atlas of human differential gene expression. (In Preparation).
Author: Dustin Sokolowski [aut, cre], Jedid Ahn [aut], Lauren Erdman [aut], Kai Ellis [aut], Huayun Hou [aut], Anna Goldenberg [aut], Michael Wilson [aut]
Maintainer: Dustin Sokolowski <dustin.sokolowski@sickkids.ca>

Diff between DEET versions 1.0.2 dated 2022-06-27 and 1.0.5 dated 2022-07-19

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More information about DEET at CRAN
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Package cfda updated to version 0.10.0 with previous version 0.9.12 dated 2022-03-07

Title: Categorical Functional Data Analysis
Description: Package for the analysis of categorical functional data. The main purpose is to compute an encoding (real functional variable) for each state <doi:10.3390/math9233074>. It also provides functions to perform basic statistical analysis on categorical functional data.
Author: Cristian Preda [aut], Quentin Grimonprez [aut, cre], Vincent Vandewalle [ctb]
Maintainer: Quentin Grimonprez <quentingrim@yahoo.fr>

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Package bbsBayes updated to version 2.5.1 with previous version 2.5.0 dated 2022-07-11

Title: Hierarchical Bayesian Analysis of North American BBS Data
Description: The North American Breeding Bird Survey (BBS) is a long-running program that seeks to monitor the status and trends of the breeding birds in North America. Since its start in 1966, the BBS has accumulated over 50 years of data for over 500 species of North American Birds. Given the temporal and spatial structure of the data, hierarchical Bayesian models are used to assess the status and trends of these 500+ species of birds. 'bbsBayes' allows you to perform hierarchical Bayesian analysis of BBS data. You can run a full model analysis for one or more species that you choose, or you can take more control and specify how the data should be stratified, prepared for 'JAGS', or modelled. The functions provided here allow you to replicate analyses performed by the United State Geological Survey (USGS, see Link and Sauer (2011) <doi:10.1525/auk.2010.09220>) and Canadian Wildlife Service (CWS, see Smith and Edwards (2020) <doi:10.1101/2020.03.26.010215>).
Author: Brandon P.M. Edwards [aut, cre], Adam C. Smith [aut]
Maintainer: Brandon P.M. Edwards <brandonedwards3@cmail.carleton.ca>

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Package tvthemes updated to version 1.3.1 with previous version 1.3.0 dated 2022-03-16

Title: TV Show Themes and Color Palettes for 'ggplot2' Graphics
Description: Contains various 'ggplot2' themes and color palettes based on TV shows such as 'Game of Thrones', 'Brooklyn Nine-Nine', 'Avatar: The Last Airbender', 'Spongebob Squarepants', and more.
Author: Ryo Nakagawara [aut, cre]
Maintainer: Ryo Nakagawara <ryonakagawara@gmail.com>

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Package csodata (with last version 1.2.3) was removed from CRAN

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

2022-06-10 1.2.3
2021-12-10 1.2.2
2021-10-11 1.2.1

Permanent link
Package WebPower (with last version 0.7) was removed from CRAN

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

2022-05-21 0.7
2021-05-18 0.6
2018-11-29 0.5.2
2018-04-16 0.5

Permanent link

Mon, 18 Jul 2022

Package shiny updated to version 1.7.2 with previous version 1.7.1 dated 2021-10-02

Title: Web Application Framework for R
Description: Makes it incredibly easy to build interactive web applications with R. Automatic "reactive" binding between inputs and outputs and extensive prebuilt widgets make it possible to build beautiful, responsive, and powerful applications with minimal effort.
Author: Winston Chang [aut, cre] , Joe Cheng [aut], JJ Allaire [aut], Carson Sievert [aut] , Barret Schloerke [aut] , Yihui Xie [aut], Jeff Allen [aut], Jonathan McPherson [aut], Alan Dipert [aut], Barbara Borges [aut], RStudio [cph], jQuery Foundation [cph] [...truncated...]
Maintainer: Winston Chang <winston@rstudio.com>

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Package EpiModel updated to version 2.3.0 with previous version 2.2.1 dated 2022-02-02

Title: Mathematical Modeling of Infectious Disease Dynamics
Description: Tools for simulating mathematical models of infectious disease dynamics. Epidemic model classes include deterministic compartmental models, stochastic individual-contact models, and stochastic network models. Network models use the robust statistical methods of exponential-family random graph models (ERGMs) from the Statnet suite of software packages in R. Standard templates for epidemic modeling include SI, SIR, and SIS disease types. EpiModel features an API for extending these templates to address novel scientific research aims. Full methods for EpiModel are detailed in Jenness et al. (2018, <doi:10.18637/jss.v084.i08>).
Author: Samuel Jenness [cre, aut], Steven M. Goodreau [aut], Martina Morris [aut], Adrien Le Guillou [aut], Chad Klumb [aut], Skye Bender-deMoll [ctb]
Maintainer: Samuel Jenness <samuel.m.jenness@emory.edu>

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Package genekitr updated to version 1.0.3 with previous version 0.8.5 dated 2022-05-27

Title: Gene Analysis Toolkit in R
Description: An analysis toolkit focused on genes. It mainly includes five features (search, convert, analysis, plot, and export). The user just needs to input feature id ('entrez', 'symbol', 'ensembl' or 'uniprot') to retrieve feature information and PubMed records, to convert id types, to easily do enrichment analysis and draw publication-level plots of GO, KEGG and GSEA, to plot group interaction and export results as sheets in one excel file to easily share and communicate with others.
Author: Yunze Liu [aut, cre]
Maintainer: Yunze Liu <jieandze1314@gmail.com>

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Package statar updated to version 0.7.4 with previous version 0.7.3 dated 2020-11-19

Title: Tools Inspired by 'Stata' to Manipulate Tabular Data
Description: A set of tools inspired by 'Stata' to explore data.frames ('summarize', 'tabulate', 'xtile', 'pctile', 'binscatter', elapsed quarters/month, lead/lag).
Author: Matthieu Gomez [aut, cre]
Maintainer: Matthieu Gomez <mg3901@columbia.edu>

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Package vannstats updated to version 1.2.7.14 with previous version 1.2.4.29 dated 2022-04-29

Title: Simplified Statistics for PA 606
Description: Simplifies functions assess normality for bivariate and multivariate statistical techniques. Includes functions designed to replicate plots and tables that would result from similar calls in 'SPSS', including hst(), box(), qq(), tab(), cormat(), and residplot(). Also includes simplified formulae, such as mode(), scatter(), p.corr(), ow.anova(), and rm.anova().
Author: Burrel Vann Jr [aut, cre]
Maintainer: Burrel Vann Jr <bvannjr@sdsu.edu>

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Package healthyR updated to version 0.2.0 with previous version 0.1.9 dated 2022-04-25

Title: Hospital Data Analysis Workflow Tools
Description: Hospital data analysis workflow tools, modeling, and automations. This library provides many useful tools to review common administrative hospital data. Some of these include average length of stay, readmission rates, average net pay amounts by service lines just to name a few. The aim is to provide a simple and consistent verb framework that takes the guesswork out of everything.
Author: Steven Sanderson [aut, cre], Steven Sanderson [cph]
Maintainer: Steven Sanderson <spsanderson@gmail.com>

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Package clock updated to version 0.6.1 with previous version 0.6.0 dated 2021-12-02

Title: Date-Time Types and Tools
Description: Provides a comprehensive library for date-time manipulations using a new family of orthogonal date-time classes (durations, time points, zoned-times, and calendars) that partition responsibilities so that the complexities of time zones are only considered when they are really needed. Capabilities include: date-time parsing, formatting, arithmetic, extraction and updating of components, and rounding.
Author: Davis Vaughan [aut, cre], RStudio [cph, fnd]
Maintainer: Davis Vaughan <davis@rstudio.com>

Diff between clock versions 0.6.0 dated 2021-12-02 and 0.6.1 dated 2022-07-18

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More information about clock at CRAN
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Package roxygen2 updated to version 7.2.1 with previous version 7.2.0 dated 2022-05-13

Title: In-Line Documentation for R
Description: Generate your Rd documentation, 'NAMESPACE' file, and collation field using specially formatted comments. Writing documentation in-line with code makes it easier to keep your documentation up-to-date as your requirements change. 'roxygen2' is inspired by the 'Doxygen' system for C++.
Author: Hadley Wickham [aut, cre, cph] , Peter Danenberg [aut, cph], Gabor Csardi [aut], Manuel Eugster [aut, cph], RStudio [cph, fnd]
Maintainer: Hadley Wickham <hadley@rstudio.com>

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More information about roxygen2 at CRAN
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