Wed, 08 Jan 2020

Package JMbayes updated to version 0.8-85 with previous version 0.8-83 dated 2019-03-25

Title: Joint Modeling of Longitudinal and Time-to-Event Data under a Bayesian Approach
Description: Shared parameter models for the joint modeling of longitudinal and time-to-event data using MCMC; Dimitris Rizopoulos (2016) <doi:10.18637/jss.v072.i07>.
Author: Dimitris Rizopoulos <d.rizopoulos@erasmusmc.nl>
Maintainer: Dimitris Rizopoulos <d.rizopoulos@erasmusmc.nl>

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Package WeMix updated to version 3.1.3 with previous version 3.1.1 dated 2019-06-27

Title: Weighted Mixed-Effects Models Using Multilevel Pseudo Maximum Likelihood Estimation
Description: Run mixed-effects models that include weights at every level. The WeMix package fits a weighted mixed model, also known as a multilevel, mixed, or hierarchical linear model (HLM). The weights could be inverse selection probabilities, such as those developed for an education survey where schools are sampled probabilistically, and then students inside of those schools are sampled probabilistically. Although mixed-effects models are already available in R, WeMix is unique in implementing methods for mixed models using weights at multiple levels. Both linear and logit models are supported. Models may have up to three levels.
Author: Paul Bailey [aut, cre], Claire Kelley [aut], Trang Nguyen [aut], Huade Huo [aut], Christian Kjeldsen [ctb] (tests with TIMSS data).
Maintainer: Paul Bailey <pbailey@air.org>

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Package RgoogleMaps updated to version 1.4.5.1 with previous version 1.4.5 dated 2019-12-11

Title: Overlays on Static Maps
Description: Serves two purposes: (i) Provide a comfortable R interface to query the Google server for static maps, and (ii) Use the map as a background image to overlay plots within R. This requires proper coordinate scaling.
Author: Markus Loecher
Maintainer: Markus Loecher <markus.loecher@gmail.com>

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New package psych with initial version 1.9.12.31
Package: psych
Version: 1.9.12.31
Date: 2019-12-31
Title: Procedures for Psychological, Psychometric, and Personality Research
Authors@R: person("William", "Revelle", role =c("aut","cre"), email="revelle@northwestern.edu", comment=c(ORCID = "0000-0003-4880-9610") )
Description: A general purpose toolbox for personality, psychometric theory and experimental psychology. Functions are primarily for multivariate analysis and scale construction using factor analysis, principal component analysis, cluster analysis and reliability analysis, although others provide basic descriptive statistics. Item Response Theory is done using factor analysis of tetrachoric and polychoric correlations. Functions for analyzing data at multiple levels include within and between group statistics, including correlations and factor analysis. Functions for simulating and testing particular item and test structures are included. Several functions serve as a useful front end for structural equation modeling. Graphical displays of path diagrams, factor analysis and structural equation models are created using basic graphics. Some of the functions are written to support a book on psychometric theory as well as publications in personality research. For more information, see the <https://personality-project.org/r> web page.
License: GPL (>= 2)
Imports: mnormt,parallel,stats,graphics,grDevices,methods,lattice,nlme
Suggests: psychTools, GPArotation, lavaan, sem, lme4,Rcsdp, graph, Rgraphviz
LazyData: yes
ByteCompile: TRUE
URL: https://personality-project.org/r/psych https://personality-project.org/r/psych-manual.pdf
NeedsCompilation: no
Packaged: 2020-01-06 20:42:21 UTC; WR
Author: William Revelle [aut, cre] (<https://orcid.org/0000-0003-4880-9610>)
Maintainer: William Revelle <revelle@northwestern.edu>
Repository: CRAN
Date/Publication: 2020-01-08 23:00:27 UTC

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Package prabclus updated to version 2.3-2 with previous version 2.3-1 dated 2019-06-04

Title: Functions for Clustering and Testing of Presence-Absence, Abundance and Multilocus Genetic Data
Description: Distance-based parametric bootstrap tests for clustering with spatial neighborhood information. Some distance measures, Clustering of presence-absence, abundance and multilocus genetic data for species delimitation, nearest neighbor based noise detection. Genetic distances between communities. Tests whether various distance-based regressions are equal. Try package?prabclus for on overview.
Author: Christian Hennig <christian.hennig@unibo.it>, Bernhard Hausdorf <Hausdorf@zoologie.uni-hamburg.de>
Maintainer: Christian Hennig <christian.hennig@unibo.it>

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Package poibin updated to version 1.5 with previous version 1.4 dated 2019-12-13

Title: The Poisson Binomial Distribution
Description: Implementation of both the exact and approximation methods for computing the cdf of the Poisson binomial distribution as described in Hong (2013) <doi: 10.1016/j.csda.2012.10.006>. It also provides the pmf, quantile function, and random number generation for the Poisson binomial distribution. The C code for fast Fourier transformation (FFT) is written by R Core Team (2019)<https://www.R-project.org/>, which implements the FFT algorithm in Singleton (1969) <doi: 10.1109/TAU.1969.1162042>.
Author: Yili Hong [aut, cre], R Core Team [aut, cph]
Maintainer: Yili Hong <yilihong@vt.edu>

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Package plotdap updated to version 0.0.5 with previous version 0.0.4 dated 2019-10-15

Title: Easily Visualize Data from 'ERDDAP' Servers via the 'rerddap' Package
Description: Easily visualize and animate 'tabledap' and 'griddap' objects obtained via the 'rerddap' package in a simple one-line command, using either base graphics or 'ggplot2' graphics. 'plotdap' handles extracting and reshaping the data, map projections and continental outlines. Optionally the data can be animated through time using the 'gganmiate' package.
Author: Carson Sievert [aut], Roy Mendelssohn [aut, ctb, cre]
Maintainer: Roy Mendelssohn <roy.mendelssohn@noaa.gov>

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Package opencpu updated to version 2.1.5 with previous version 2.1.4 dated 2019-09-26

Title: Producing and Reproducing Results
Description: A system for embedded scientific computing and reproducible research with R. The OpenCPU server exposes a simple but powerful HTTP api for RPC and data interchange with R. This provides a reliable and scalable foundation for statistical services or building R web applications. The OpenCPU server runs either as a single-user development server within the interactive R session, or as a multi-user Linux stack based on Apache2. The entire system is fully open source and permissively licensed. The OpenCPU website has detailed documentation and example apps.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package mvMORPH updated to version 1.1.1 with previous version 1.1.0 dated 2018-08-04

Title: Multivariate Comparative Tools for Fitting Evolutionary Models to Morphometric Data
Description: Fits multivariate (Brownian Motion, Early Burst, ACDC, Ornstein-Uhlenbeck and Shifts) models of continuous traits evolution on trees and time series. 'mvMORPH' also proposes high-dimensional multivariate comparative tools (linear models using Generalized Least Squares and multivariate tests) based on penalized likelihood. See Clavel et al. (2015) <DOI:10.1111/2041-210X.12420> and Clavel et al. (2019) <DOI:10.1093/sysbio/syy045>.
Author: Julien Clavel, with contributions from Aaron King, and Emmanuel Paradis
Maintainer: Julien Clavel <julien.clavel@hotmail.fr>

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Package msos updated to version 1.1.1 with previous version 1.1.0 dated 2017-04-27

Title: Data Sets and Functions Used in Multivariate Statistics: Old School by John Marden
Description: Multivariate Analysis methods and data sets used in John Marden's book Multivariate Statistics: Old School (2015) <ISBN:978-1456538835>. This also serves as a companion package for the STAT 571: Multivariate Analysis course offered by the Department of Statistics at the University of Illinois at Urbana-Champaign ('UIUC').
Author: John Marden [aut, cph], James Balamuta [cre, ctb, com] (<https://orcid.org/0000-0003-2826-8458>)
Maintainer: James Balamuta <james.balamuta@gmail.com>

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Package mlergm updated to version 0.5 with previous version 0.4 dated 2019-11-04

Title: Multilevel Exponential-Family Random Graph Models
Description: Estimates exponential-family random graph models for multilevel network data, assuming the multilevel structure is observed. The scope, at present, covers multilevel models where the set of nodes is nested within known blocks. The estimation method uses Monte-Carlo maximum likelihood estimation (MCMLE) methods to estimate a variety of canonical or curved exponential family models for binary random graphs. MCMLE methods for curved exponential-family random graph models can be found in Hunter and Handcock (2006) <DOI: 10.1198/106186006X133069>. The package supports parallel computing, and provides methods for assessing goodness-of-fit of models and visualization of networks.
Author: Jonathan Stewart [cre, aut], Michael Schweinberger [ctb]
Maintainer: Jonathan Stewart <jonathan.stewart@rice.edu>

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Package MetricsWeighted updated to version 0.5.0 with previous version 0.4.0 dated 2019-12-02

Title: Weighted Metrics, Scoring Functions and Performance Measures for Machine Learning
Description: Provides weighted versions of several metrics, scoring functions and performance measures used in machine learning, including average unit deviances of the Bernoulli, Tweedie, Poisson, and Gamma distributions, see Jorgensen B. (1997, ISBN: 978-0412997112). The package also contains a weighted version of generalized R-squared, see e.g. Cohen, J. et al. (2002, ISBN: 978-0805822236). Furthermore, 'dplyr' chains are supported.
Author: Michael Mayer [aut, cre, cph], Christian Lorentzen [ctb, rev]
Maintainer: Michael Mayer <mayermichael79@gmail.com>

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Package MazamaCoreUtils updated to version 0.4.2 with previous version 0.4.0 dated 2019-11-06

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, and cache management.
Author: Jonathan Callahan [aut, cre], Spencer Pease [aut], Thomas Bergamaschi [aut]
Maintainer: Jonathan Callahan <jonathan.s.callahan@gmail.com>

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 man/timeStamp.Rd                |    3 
 tests/testthat/test-dateRange.R |   31 +
 tests/testthat/test-timeRange.R |   18 
 22 files changed, 1272 insertions(+), 1409 deletions(-)

More information about MazamaCoreUtils at CRAN
Permanent link

Package Luminescence updated to version 0.9.7 with previous version 0.9.6 dated 2019-12-04

Title: Comprehensive Luminescence Dating Data Analysis
Description: A collection of various R functions for the purpose of Luminescence dating data analysis. This includes, amongst others, data import, export, application of age models, curve deconvolution, sequence analysis and plotting of equivalent dose distributions.
Author: Sebastian Kreutzer [aut, trl, cre, dtc] (<https://orcid.org/0000-0002-0734-2199>), Christoph Burow [aut, trl, dtc] (<https://orcid.org/0000-0002-5023-4046>), Michael Dietze [aut] (<https://orcid.org/0000-0001-6063-1726>), Margret C. Fuchs [aut], Christoph Schmidt [aut] (<https://orcid.org/0000-0002-2309-3209>), Manfred Fischer [aut, trl], Johannes Friedrich [aut] (<https://orcid.org/0000-0002-0805-9547>), Norbert Mercier [ctb] (<https://orcid.org/0000-0002-6375-9108>), Rachel K. Smedley [ctb] (<https://orcid.org/0000-0001-7773-5193>), Claire Christophe [ctb], Antoine Zink [ctb] (<https://orcid.org/0000-0001-7146-1101>), Julie Durcan [ctb] (<https://orcid.org/0000-0001-8724-8022>), Georgina E. King [ctb, dtc] (<https://orcid.org/0000-0003-1059-8192>), Anne Philippe [ctb], Guillaume Guerin [ctb] (<https://orcid.org/0000-0001-6298-5579>), Svenja Riedesel [ctb] (<https://orcid.org/0000-0003-2936-8776>), Martin Autzen [ctb], Pierre Guibert [ctb] (<https://orcid.org/0000-0001-8969-8684>), Markus Fuchs [ths]
Maintainer: Sebastian Kreutzer <sebastian.kreutzer@u-bordeaux-montaigne.fr>

Diff between Luminescence versions 0.9.6 dated 2019-12-04 and 0.9.7 dated 2020-01-08

 DESCRIPTION                                |    8 
 MD5                                        |  262 ++++++++++++++---------------
 NEWS.md                                    |   36 +++
 R/Luminescence-package.R                   |    5 
 R/analyse_Al2O3C_Measurement.R             |   16 -
 R/analyse_baSAR.R                          |    1 
 R/convert_Activity2Concentration.R         |    2 
 R/get_Quote.R                              |    5 
 R/internal_as.latex.table.R                |   28 +--
 R/plot_AbanicoPlot.R                       |   70 +++++--
 R/plot_GrowthCurve.R                       |    8 
 R/plot_RadialPlot.R                        |   10 -
 R/read_BIN2R.R                             |   14 -
 README.md                                  |    2 
 build/partial.rdb                          |binary
 man/Analyse_SAR.OSLdata.Rd                 |    2 
 man/CW2pHMi.Rd                             |    2 
 man/CW2pLM.Rd                              |    2 
 man/CW2pLMi.Rd                             |    2 
 man/CW2pPMi.Rd                             |    2 
 man/GitHub-API.Rd                          |    2 
 man/Luminescence-package.Rd                |    4 
 man/PSL2Risoe.BINfileData.Rd               |    2 
 man/RLum-class.Rd                          |    2 
 man/RLum.Analysis-class.Rd                 |    2 
 man/RLum.Data.Curve-class.Rd               |    2 
 man/RLum.Data.Image-class.Rd               |    2 
 man/RLum.Data.Spectrum-class.Rd            |    2 
 man/RLum.Results-class.Rd                  |    2 
 man/Risoe.BINfileData-class.Rd             |    2 
 man/Risoe.BINfileData2RLum.Analysis.Rd     |    2 
 man/Second2Gray.Rd                         |    2 
 man/analyse_Al2O3C_CrossTalk.Rd            |    2 
 man/analyse_Al2O3C_ITC.Rd                  |    2 
 man/analyse_Al2O3C_Measurement.Rd          |    7 
 man/analyse_FadingMeasurement.Rd           |    2 
 man/analyse_IRSAR.RF.Rd                    |    2 
 man/analyse_SAR.CWOSL.Rd                   |    2 
 man/analyse_SAR.TL.Rd                      |    2 
 man/analyse_baSAR.Rd                       |    2 
 man/analyse_pIRIRSequence.Rd               |    2 
 man/analyse_portableOSL.Rd                 |    2 
 man/app_RLum.Rd                            |    2 
 man/apply_CosmicRayRemoval.Rd              |    2 
 man/apply_EfficiencyCorrection.Rd          |    2 
 man/bin_RLum.Data.Rd                       |    2 
 man/calc_AliquotSize.Rd                    |    2 
 man/calc_AverageDose.Rd                    |    2 
 man/calc_CentralDose.Rd                    |    2 
 man/calc_CommonDose.Rd                     |    2 
 man/calc_CosmicDoseRate.Rd                 |    2 
 man/calc_FadingCorr.Rd                     |    2 
 man/calc_FastRatio.Rd                      |    2 
 man/calc_FiniteMixture.Rd                  |    2 
 man/calc_FuchsLang2001.Rd                  |    2 
 man/calc_HomogeneityTest.Rd                |    2 
 man/calc_Huntley2006.Rd                    |    2 
 man/calc_IEU.Rd                            |    2 
 man/calc_Kars2008.Rd                       |    2 
 man/calc_Lamothe2003.Rd                    |    2 
 man/calc_MaxDose.Rd                        |    2 
 man/calc_MinDose.Rd                        |    2 
 man/calc_OSLLxTxRatio.Rd                   |    2 
 man/calc_SourceDoseRate.Rd                 |    2 
 man/calc_Statistics.Rd                     |    2 
 man/calc_TLLxTxRatio.Rd                    |    2 
 man/calc_ThermalLifetime.Rd                |    2 
 man/calc_WodaFuchs2008.Rd                  |    2 
 man/calc_gSGC.Rd                           |    2 
 man/convert_Activity2Concentration.Rd      |    4 
 man/convert_BIN2CSV.Rd                     |    2 
 man/convert_Daybreak2CSV.Rd                |    2 
 man/convert_PSL2CSV.Rd                     |    2 
 man/convert_RLum2Risoe.BINfileData.Rd      |    2 
 man/convert_Wavelength2Energy.Rd           |    2 
 man/convert_XSYG2CSV.Rd                    |    2 
 man/extract_IrradiationTimes.Rd            |    2 
 man/fit_CWCurve.Rd                         |    2 
 man/fit_LMCurve.Rd                         |    2 
 man/fit_OSLLifeTimes.Rd                    |    2 
 man/fit_SurfaceExposure.Rd                 |    2 
 man/fit_ThermalQuenching.Rd                |    2 
 man/get_Layout.Rd                          |    2 
 man/get_Quote.Rd                           |    4 
 man/get_RLum.Rd                            |    2 
 man/get_Risoe.BINfileData.Rd               |    2 
 man/get_rightAnswer.Rd                     |    2 
 man/length_RLum.Rd                         |    2 
 man/merge_RLum.Analysis.Rd                 |    2 
 man/merge_RLum.Data.Curve.Rd               |    2 
 man/merge_RLum.Rd                          |    2 
 man/merge_RLum.Results.Rd                  |    2 
 man/merge_Risoe.BINfileData.Rd             |    2 
 man/names_RLum.Rd                          |    2 
 man/plot_AbanicoPlot.Rd                    |    2 
 man/plot_DRCSummary.Rd                     |    2 
 man/plot_DRTResults.Rd                     |    2 
 man/plot_DetPlot.Rd                        |    2 
 man/plot_FilterCombinations.Rd             |    2 
 man/plot_GrowthCurve.Rd                    |   10 -
 man/plot_Histogram.Rd                      |    2 
 man/plot_KDE.Rd                            |    2 
 man/plot_NRt.Rd                            |    2 
 man/plot_RLum.Analysis.Rd                  |    2 
 man/plot_RLum.Data.Curve.Rd                |    2 
 man/plot_RLum.Data.Image.Rd                |    2 
 man/plot_RLum.Data.Spectrum.Rd             |    2 
 man/plot_RLum.Rd                           |    2 
 man/plot_RLum.Results.Rd                   |    2 
 man/plot_RadialPlot.Rd                     |    2 
 man/plot_Risoe.BINfileData.Rd              |    2 
 man/plot_ViolinPlot.Rd                     |    2 
 man/read_BIN2R.Rd                          |    4 
 man/read_Daybreak2R.Rd                     |    2 
 man/read_PSL2R.Rd                          |    2 
 man/read_SPE2R.Rd                          |    2 
 man/read_XSYG2R.Rd                         |    2 
 man/replicate_RLum.Rd                      |    2 
 man/report_RLum.Rd                         |    2 
 man/sTeve.Rd                               |    2 
 man/scale_GammaDose.Rd                     |    2 
 man/set_RLum.Rd                            |    2 
 man/set_Risoe.BINfileData.Rd               |    2 
 man/smooth_RLum.Rd                         |    2 
 man/structure_RLum.Rd                      |    2 
 man/template_DRAC.Rd                       |    2 
 man/tune_Data.Rd                           |    2 
 man/use_DRAC.Rd                            |    2 
 man/verify_SingleGrainData.Rd              |    2 
 man/write_R2BIN.Rd                         |    2 
 man/write_RLum2CSV.Rd                      |    2 
 tests/testthat/test_calc_ThermalLifetime.R |   59 ++----
 132 files changed, 427 insertions(+), 352 deletions(-)

More information about Luminescence at CRAN
Permanent link

Package lidR updated to version 2.2.0 with previous version 2.1.4 dated 2019-10-15

Title: Airborne LiDAR Data Manipulation and Visualization for Forestry Applications
Description: Airborne LiDAR (Light Detection and Ranging) interface for data manipulation and visualization. Read/write 'las' and 'laz' files, computation of metrics in area based approach, point filtering, artificial point reduction, classification from geographic data, normalization, individual tree segmentation and other manipulations.
Author: Jean-Romain Roussel [aut, cre, cph], David Auty [aut, ctb] (Reviews the documentation), Florian De Boissieu [ctb] (Fixed bugs and improved catalog features), Andrew Sánchez Meador [ctb] (Implemented wing2015 for lassnags), Bourdon Jean-François [ctb] (Implemented sensor_tracking)
Maintainer: Jean-Romain Roussel <jean-romain.roussel.1@ulaval.ca>

Diff between lidR versions 2.1.4 dated 2019-10-15 and 2.2.0 dated 2020-01-08

 lidR-2.1.4/lidR/R/grid_hexametrics.r                            |only
 lidR-2.1.4/lidR/R/grid_metrics3d.r                              |only
 lidR-2.1.4/lidR/R/lasmetrics.r                                  |only
 lidR-2.1.4/lidR/man/grid_hexametrics.Rd                         |only
 lidR-2.1.4/lidR/man/grid_metrics3d.Rd                           |only
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 lidR-2.1.4/lidR/man/lmfauto.Rd                                  |only
 lidR-2.1.4/lidR/src/QuadTree.cpp                                |only
 lidR-2.1.4/lidR/src/QuadTree.h                                  |only
 lidR-2.1.4/lidR/src/Triangulation.cpp                           |only
 lidR-2.1.4/lidR/src/Triangulation.h                             |only
 lidR-2.1.4/lidR/tests/testthat/test-grid_hexametrics.R          |only
 lidR-2.1.4/lidR/tests/testthat/test-grid_metrics3d.R            |only
 lidR-2.2.0/lidR/DESCRIPTION                                     |   54 -
 lidR-2.2.0/lidR/MD5                                             |  354 +++++-----
 lidR-2.2.0/lidR/NAMESPACE                                       |   17 
 lidR-2.2.0/lidR/NEWS.md                                         |  156 ++++
 lidR-2.2.0/lidR/R/Class-LAS.r                                   |   16 
 lidR-2.2.0/lidR/R/Class-LAScatalog.r                            |   30 
 lidR-2.2.0/lidR/R/Class-LAScluster.r                            |    5 
 lidR-2.2.0/lidR/R/RcppExports.R                                 |   24 
 lidR-2.2.0/lidR/R/algorithm-dsm.r                               |   96 +-
 lidR-2.2.0/lidR/R/algorithm-gnd.r                               |    3 
 lidR-2.2.0/lidR/R/algorithm-itd.R                               |  110 ---
 lidR-2.2.0/lidR/R/algorithm-spi.r                               |   64 +
 lidR-2.2.0/lidR/R/catalog_apply.r                               |   87 +-
 lidR-2.2.0/lidR/R/catalog_fakerun.r                             |    2 
 lidR-2.2.0/lidR/R/catalog_index.r                               |   19 
 lidR-2.2.0/lidR/R/catalog_makecluster.r                         |   90 +-
 lidR-2.2.0/lidR/R/catalog_merge_results.R                       |  117 ++-
 lidR-2.2.0/lidR/R/catalog_select.r                              |   22 
 lidR-2.2.0/lidR/R/cloud_metrics.r                               |only
 lidR-2.2.0/lidR/R/clusters_apply.r                              |   22 
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 lidR-2.2.0/lidR/R/grid_canopy.r                                 |    6 
 lidR-2.2.0/lidR/R/grid_metrics.r                                |    7 
 lidR-2.2.0/lidR/R/grid_terrain.r                                |   58 +
 lidR-2.2.0/lidR/R/hexbin_metrics.r                              |only
 lidR-2.2.0/lidR/R/io_readLAS.r                                  |   10 
 lidR-2.2.0/lidR/R/lascheck.r                                    |   58 -
 lidR-2.2.0/lidR/R/lasclip.r                                     |   37 -
 lidR-2.2.0/lidR/R/lasfilterdecimate.r                           |    3 
 lidR-2.2.0/lidR/R/lasfilterduplicates.r                         |    3 
 lidR-2.2.0/lidR/R/lasfiltersurfacepoints.r                      |    3 
 lidR-2.2.0/lidR/R/lasground.r                                   |   17 
 lidR-2.2.0/lidR/R/lasindentify.r                                |   14 
 lidR-2.2.0/lidR/R/lasmergespatial.r                             |    6 
 lidR-2.2.0/lidR/R/lasnormalize.r                                |   60 +
 lidR-2.2.0/lidR/R/lasrangecorrection.R                          |only
 lidR-2.2.0/lidR/R/lassnags.r                                    |    3 
 lidR-2.2.0/lidR/R/lastrees.r                                    |    3 
 lidR-2.2.0/lidR/R/lasupdateheader.r                             |   12 
 lidR-2.2.0/lidR/R/methods-LAS.r                                 |   25 
 lidR-2.2.0/lidR/R/methods-LAScatalog.r                          |   12 
 lidR-2.2.0/lidR/R/plot.r                                        |  109 ++-
 lidR-2.2.0/lidR/R/plot.s3.r                                     |   36 -
 lidR-2.2.0/lidR/R/point_metrics.R                               |only
 lidR-2.2.0/lidR/R/print.r                                       |    8 
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 lidR-2.2.0/lidR/R/tree_detection.r                              |   21 
 lidR-2.2.0/lidR/R/tree_hulls.r                                  |    5 
 lidR-2.2.0/lidR/R/tree_metrics.r                                |    6 
 lidR-2.2.0/lidR/R/utils_assertive.r                             |    2 
 lidR-2.2.0/lidR/R/utils_catalog_options.r                       |    8 
 lidR-2.2.0/lidR/R/utils_colors.r                                |   50 +
 lidR-2.2.0/lidR/R/utils_define_constant.R                       |   19 
 lidR-2.2.0/lidR/R/utils_delaunay.R                              |  117 ++-
 lidR-2.2.0/lidR/R/utils_is.r                                    |    6 
 lidR-2.2.0/lidR/R/utils_metrics.r                               |   19 
 lidR-2.2.0/lidR/R/utils_misc.r                                  |   51 -
 lidR-2.2.0/lidR/R/utils_raster.r                                |    2 
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 lidR-2.2.0/lidR/R/zzz.r                                         |   12 
 lidR-2.2.0/lidR/README.md                                       |    7 
 lidR-2.2.0/lidR/build/vignette.rds                              |binary
 lidR-2.2.0/lidR/inst/WORDLIST                                   |   15 
 lidR-2.2.0/lidR/inst/doc/lidR-LAS-class.R                       |   24 
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 lidR-2.2.0/lidR/inst/doc/lidR-LAS-class.html                    |   17 
 lidR-2.2.0/lidR/inst/doc/lidR-LAScatalog-class.R                |   26 
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 lidR-2.2.0/lidR/inst/doc/lidR-LAScatalog-class.html             |  188 ++---
 lidR-2.2.0/lidR/inst/doc/lidR-catalog-apply-examples.Rmd        |   20 
 lidR-2.2.0/lidR/inst/doc/lidR-catalog-apply-examples.html       |   27 
 lidR-2.2.0/lidR/inst/doc/lidR-computation-speed-LAScatalog.R    |   47 +
 lidR-2.2.0/lidR/inst/doc/lidR-computation-speed-LAScatalog.Rmd  |   41 +
 lidR-2.2.0/lidR/inst/doc/lidR-computation-speed-LAScatalog.html |   30 
 lidR-2.2.0/lidR/inst/extdata/Topography.laz                     |binary
 lidR-2.2.0/lidR/man/LAS-class.Rd                                |   20 
 lidR-2.2.0/lidR/man/LAScatalog-class.Rd                         |   25 
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 lidR-2.2.0/lidR/man/lasfiltersurfacepoints.Rd                   |   14 
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 lidR-2.2.0/lidR/man/lassmooth.Rd                                |    9 
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 lidR-2.2.0/lidR/man/lastrees.Rd                                 |    3 
 lidR-2.2.0/lidR/man/lasvoxelize.Rd                              |    4 
 lidR-2.2.0/lidR/man/li2012.Rd                                   |    9 
 lidR-2.2.0/lidR/man/lidR-package.Rd                             |    3 
 lidR-2.2.0/lidR/man/lmf.Rd                                      |    3 
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 lidR-2.2.0/lidR/man/p2r.Rd                                      |    5 
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 lidR-2.2.0/lidR/man/plot.lasmetrics3d.Rd                        |   15 
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 lidR-2.2.0/lidR/man/tin.Rd                                      |    5 
 lidR-2.2.0/lidR/man/tree_detection.Rd                           |    2 
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 lidR-2.2.0/lidR/man/watershed.Rd                                |   11 
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 lidR-2.2.0/lidR/src/GridPartition.h                             |only
 lidR-2.2.0/lidR/src/LAS.cpp                                     |  229 +++++-
 lidR-2.2.0/lidR/src/LAS.h                                       |    7 
 lidR-2.2.0/lidR/src/Makevars                                    |    2 
 lidR-2.2.0/lidR/src/Makevars.win                                |    2 
 lidR-2.2.0/lidR/src/Progress.cpp                                |    9 
 lidR-2.2.0/lidR/src/RcppExports.cpp                             |   92 ++
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 lidR-2.2.0/lidR/tests/testthat/Rplots.pdf                       |binary
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Package jstable updated to version 0.9.2 with previous version 0.9.1 dated 2019-12-05

Title: Create Tables from Different Types of Regression
Description: Create regression tables from generalized linear model(GLM), generalized estimating equation(GEE), generalized linear mixed-effects model(GLMM), Cox proportional hazards model, survey-weighted generalized linear model(svyglm) and survey-weighted Cox model results for publication.
Author: Jinseob Kim [aut, cre] (<https://orcid.org/0000-0002-9403-605X>), Zarathu [cph, fnd]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>

Diff between jstable versions 0.9.1 dated 2019-12-05 and 0.9.2 dated 2020-01-08

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Package ExomeDepth updated to version 1.1.15 with previous version 1.1.12 dated 2019-08-30

Title: Calls Copy Number Variants from Targeted Sequence Data
Description: Calls copy number variants (CNVs) from targeted sequence data, typically exome sequencing experiments designed to identify the genetic basis of Mendelian disorders.
Author: Vincent Plagnol [aut, cre]
Maintainer: Vincent Plagnol <v.plagnol@ucl.ac.uk>

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Package DSAIDE updated to version 0.8.3 with previous version 0.8.2 dated 2019-07-04

Title: Dynamical Systems Approach to Infectious Disease Epidemiology (Ecology/Evolution)
Description: Exploration of simulation models (apps) of various infectious disease transmission dynamics scenarios. The purpose of the package is to help individuals learn about infectious disease epidemiology (ecology/evolution) from a dynamical systems perspective. All apps include explanations of the underlying models and instructions on what to do with the models.
Author: Andreas Handel [aut, cre] (<https://orcid.org/0000-0002-4622-1146>), Christine Casey [ctb] (Parasite model app), Isaac Chun-Hai Fung [ctb], Ronald Galiwango [ctb] (ID surveillance app), Chase Golden [ctb] (Maternal Immunity app), Spencer Hall [ctb], Ben Listyg [ctb], Brian McKay [ctb], John Rossow [ctb], Sina Solaimanpour [ctb], Kevin Spiegel [ctb] (Global warming app), Henok Woldu [ctb]
Maintainer: Andreas Handel <ahandel@uga.edu>

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Package interp updated to version 1.0-33 with previous version 1.0-32 dated 2019-05-04

Title: Interpolation Methods
Description: Bivariate data interpolation on regular and irregular grids, either linear or using splines are the main part of this package. It is intended to provide FOSS replacement functions for the ACM licensed akima::interp and tripack::tri.mesh functions. Currently the piecewise linear interpolation part of akima::interp (and also akima::interpp) is implemented in interp::interp, this corresponds to the call akima::interp(..., linear=TRUE) which is the default setting and covers most of akima::interp use cases in depending packages. A re-implementation of Akimas spline interpolation (akima::interp(..., linear=FALSE)) is currently under development and will complete this package in a later version. Estimators for partial derivatives are already available, these are a prerequisite for the spline interpolation. The basic part is currently a GPLed triangulation algorithm (sweep hull algorithm by David Sinclair) providing the starting point for the piecewise linear interpolator. As side effect this algorithm is also used to provide replacements for the basic functions of the tripack package which also suffer from the ACM restrictions. All functions are designed to be backward compatible with their akima / tripack counterparts.
Author: Albrecht Gebhardt [aut, cre, cph] (...), Roger Bivand [aut], David Sinclair [aut, cph]
Maintainer: Albrecht Gebhardt <albrecht.gebhardt@aau.at>

Diff between interp versions 1.0-32 dated 2019-05-04 and 1.0-33 dated 2020-01-08

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Permanent link

Package huxtable updated to version 4.7.1 with previous version 4.7.0 dated 2019-10-03

Title: Easily Create and Style Tables for LaTeX, HTML and Other Formats
Description: Like 'xtable', creates styled tables. Export to HTML, LaTeX, 'Word', 'Excel', 'PowerPoint' and RTF. Simple, modern interface to manipulate borders, size, position, captions, colours, text styles and number formatting. Table cells can span multiple rows and/or columns. Includes a 'huxreg' function for creation of regression tables, and 'quick_*' one-liners to print data to a new document.
Author: David Hugh-Jones [aut, cre]
Maintainer: David Hugh-Jones <davidhughjones@gmail.com>

Diff between huxtable versions 4.7.0 dated 2019-10-03 and 4.7.1 dated 2020-01-08

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Package hms updated to version 0.5.3 with previous version 0.5.2 dated 2019-10-30

Title: Pretty Time of Day
Description: Implements an S3 class for storing and formatting time-of-day values, based on the 'difftime' class.
Author: Kirill Müller [aut, cre], The R Consortium [fnd], RStudio [fnd]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

Diff between hms versions 0.5.2 dated 2019-10-30 and 0.5.3 dated 2020-01-08

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Package HistData updated to version 0.8-6 with previous version 0.8-4 dated 2018-04-04

Title: Data Sets from the History of Statistics and Data Visualization
Description: The 'HistData' package provides a collection of small data sets that are interesting and important in the history of statistics and data visualization. The goal of the package is to make these available, both for instructional use and for historical research. Some of these present interesting challenges for graphics or analysis in R.
Author: Michael Friendly [aut, cre], Stephane Dray [ctb], Hadley Wickham [ctb], James Hanley [ctb], Dennis Murphy [ctb], Peter Li [ctb]
Maintainer: Michael Friendly <friendly@yorku.ca>

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Package hardhat updated to version 0.1.1 with previous version 0.1.0 dated 2019-12-16

Title: Construct Modeling Packages
Description: Building modeling packages is hard. A large amount of effort generally goes into providing an implementation for a new method that is efficient, fast, and correct, but often less emphasis is put on the user interface. A good interface requires specialized knowledge about S3 methods and formulas, which the average package developer might not have. The goal of 'hardhat' is to reduce the burden around building new modeling packages by providing functionality for preprocessing, predicting, and validating input.
Author: Davis Vaughan [aut, cre], Max Kuhn [aut], RStudio [cph]
Maintainer: Davis Vaughan <davis@rstudio.com>

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Package gld updated to version 2.6.2 with previous version 2.6.1 dated 2019-12-17

Title: Estimation and Use of the Generalised (Tukey) Lambda Distribution
Description: The generalised lambda distribution, or Tukey lambda distribution, provides a wide variety of shapes with one functional form. This package provides random numbers, quantiles, probabilities, densities and density quantiles for four different types of the distribution, the FKML (Freimer et al 1988), RS (Ramberg and Schmeiser 1974), GPD (van Staden and Loots 2009) and FM5 - see documentation for details. It provides the density function, distribution function, and Quantile-Quantile plots. It implements a variety of estimation methods for the distribution, including diagnostic plots. Estimation methods include the starship (all 4 types), method of L-Moments for the GPD and FKML types, and a number of methods for only the FKML type. These include maximum likelihood, maximum product of spacings, Titterington's method, Moments, Trimmed L-Moments and Distributional Least Absolutes.
Author: Robert King <Robert.King@newcastle.edu.au>, Benjamin Dean <Benjamin.Dean@uon.edu.au>, Sigbert Klinke, Paul van Staden
Maintainer: Robert King <Robert.King@newcastle.edu.au>

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Package GetoptLong updated to version 0.1.8 with previous version 0.1.7 dated 2018-06-10

Title: Parsing Command-Line Arguments and Variable Interpolation
Description: This is yet another command-line argument parser which wraps the powerful Perl module Getopt::Long and with some adaptation for easier use in R. It also provides a simple way for variable interpolation in R.
Author: Zuguang Gu
Maintainer: Zuguang Gu <z.gu@dkfz.de>

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Package fansi updated to version 0.4.1 with previous version 0.4.0 dated 2018-10-05

Title: ANSI Control Sequence Aware String Functions
Description: Counterparts to R string manipulation functions that account for the effects of ANSI text formatting control sequences.
Author: Brodie Gaslam [aut, cre], Elliott Sales De Andrade [ctb], R Core Team [cph] (UTF8 byte length calcs from src/util.c)
Maintainer: Brodie Gaslam <brodie.gaslam@yahoo.com>

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Package errors updated to version 0.3.3 with previous version 0.3.2 dated 2019-05-20

Title: Uncertainty Propagation for R Vectors
Description: Support for measurement errors in R vectors, matrices and arrays: automatic uncertainty propagation and reporting. Documentation about 'errors' is provided in the paper by Ucar, Pebesma & Azcorra (2018, <doi:10.32614/RJ-2018-075>), included in this package as a vignette; see 'citation("errors")' for details.
Author: Iñaki Ucar [aut, cph, cre] (<https://orcid.org/0000-0001-6403-5550>)
Maintainer: Iñaki Ucar <iucar@fedoraproject.org>

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Package entropart updated to version 1.6-3 with previous version 1.6-1 dated 2019-04-11

Title: Entropy Partitioning to Measure Diversity
Description: Measurement and partitioning of diversity, based on Tsallis entropy, following Marcon and Herault (2015) <doi:10.18637/jss.v067.i08>. 'entropart' provides functions to calculate alpha, beta and gamma diversity of communities, including phylogenetic and functional diversity. Estimation-bias corrections are available.
Author: Eric Marcon [aut, cre] (<https://orcid.org/0000-0002-5249-321X>), Bruno Herault [aut] (<https://orcid.org/0000-0002-6950-7286>)
Maintainer: Eric Marcon <eric.marcon@ecofog.gf>

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Package DoE.wrapper updated to version 0.11 with previous version 0.10 dated 2019-05-11

Title: Wrapper Package for Design of Experiments Functionality
Description: Various kinds of designs for (industrial) experiments can be created. The package uses, and sometimes enhances, design generation routines from other packages. So far, response surface designs from package rsm, latin hypercube samples from packages lhs and DiceDesign, and D-optimal designs from package AlgDesign have been implemented.
Author: Ulrike Groemping [aut, cre], Lenth Russ [ctb]
Maintainer: Ulrike Groemping <groemping@beuth-hochschule.de>

Diff between DoE.wrapper versions 0.10 dated 2019-05-11 and 0.11 dated 2020-01-08

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Package diagonals updated to version 1.0.1 with previous version 0.4.0 dated 2015-10-05

Title: Block Diagonal Extraction or Replacement
Description: Several tools for handling block-matrix diagonals and similar constructs are implemented. Block-diagonal matrices can be extracted or removed using two small functions implemented here. In addition, non-square matrices are supported. Block diagonal matrices occur when two dimensions of a data set are combined along one edge of a matrix. For example, trade-flow data in the 'decompr' and 'gvc' packages have each country-industry combination occur along both edges of the matrix.
Author: Bastiaan Quast [aut, cre]
Maintainer: Bastiaan Quast <bquast@gmail.com>

Diff between diagonals versions 0.4.0 dated 2015-10-05 and 1.0.1 dated 2020-01-08

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Package ClustVarLV updated to version 2.0.1 with previous version 2.0.0 dated 2019-06-28

Title: Clustering of Variables Around Latent Variables
Description: Functions for the clustering of variables around Latent Variables, for 2-way or 3-way data. Each cluster of variables, which may be defined as a local or directional cluster, is associated with a latent variable. External variables measured on the same observations or/and additional information on the variables can be taken into account. A "noise" cluster or sparse latent variables can also be defined.
Author: Evelyne Vigneau [aut, cre], Mingkun Chen [ctb], Veronique Cariou [aut]
Maintainer: Evelyne Vigneau <evelyne.vigneau@oniris-nantes.fr>

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Package cli updated to version 2.0.1 with previous version 2.0.0 dated 2019-12-09

Title: Helpers for Developing Command Line Interfaces
Description: A suite of tools to build attractive command line interfaces ('CLIs'), from semantic elements: headings, lists, alerts, paragraphs, etc. Supports custom themes via a 'CSS'-like language. It also contains a number of lower level 'CLI' elements: rules, boxes, trees, and 'Unicode' symbols with 'ASCII' alternatives. It integrates with the 'crayon' package to support 'ANSI' terminal colors.
Author: Gábor Csárdi [aut, cre], Hadley Wickham [ctb], Kirill Müller [ctb]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

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Package CensSpatial updated to version 2.1 with previous version 1.3 dated 2017-03-02

Title: Censored Spatial Models
Description: It fits linear regression models for censored spatial data. It provides different estimation methods as the SAEM (Stochastic Approximation of Expectation Maximization) algorithm and seminaive that uses Kriging prediction to estimate the response at censored locations and predict new values at unknown locations. It also offers graphical tools for assessing the fitted model.
Author: Alejandro Ordonez, Christian E. Galarza, Victor H. Lachos
Maintainer: Alejandro Ordonez <ordonezjosealejandro@gmail.com>

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Package cdata updated to version 1.1.4 with previous version 1.1.3 dated 2019-10-29

Title: Fluid Data Transformations
Description: Supplies higher-order coordinatized data specification and fluid transform operators that include pivot and anti-pivot as special cases. The methodology is describe in 'Zumel', 2018, "Fluid data reshaping with 'cdata'", <http://winvector.github.io/FluidData/FluidDataReshapingWithCdata.html> , doi:10.5281/zenodo.1173299 . This package introduces the idea of explicit control table specification of data transforms. Works on in-memory data or on remote data using 'rquery' and 'SQL' database interfaces.
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

Diff between cdata versions 1.1.3 dated 2019-10-29 and 1.1.4 dated 2020-01-08

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More information about cdata at CRAN
Permanent link

Package CBCgrps updated to version 2.6 with previous version 2.5 dated 2019-12-20

Title: Compare Baseline Characteristics Between Groups
Description: Compare baseline characteristics between two or more groups. The variables being compared can be factor and numeric variables. The function will automatically judge the type and distribution of the variables, and make statistical description and bivariate analysis.
Author: Zhongheng Zhang, Sir Run-Run Shaw hospital, Zhejiang university school of medicine
Maintainer: Zhongheng Zhang <zh_zhang1984@zju.edu.cn>

Diff between CBCgrps versions 2.5 dated 2019-12-20 and 2.6 dated 2020-01-08

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Package CausalImpact updated to version 1.2.4 with previous version 1.2.2 dated 2017-09-14

Title: Inferring Causal Effects using Bayesian Structural Time-Series Models
Description: Implements a Bayesian approach to causal impact estimation in time series, as described in Brodersen et al. (2015) <DOI:10.1214/14-AOAS788>. See the package documentation on GitHub <https://google.github.io/CausalImpact/> to get started.
Author: Kay H. Brodersen <kbrodersen@google.com>, Alain Hauser <alhauser@google.com>
Maintainer: Alain Hauser <alhauser@google.com>

Diff between CausalImpact versions 1.2.2 dated 2017-09-14 and 1.2.4 dated 2020-01-08

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Permanent link

Package brnn updated to version 0.8 with previous version 0.7 dated 2018-08-23

Title: Bayesian Regularization for Feed-Forward Neural Networks
Description: Bayesian regularization for feed-forward neural networks.
Author: Paulino Perez Rodriguez, Daniel Gianola
Maintainer: Paulino Perez Rodriguez <perpdgo@colpos.mx>

Diff between brnn versions 0.7 dated 2018-08-23 and 0.8 dated 2020-01-08

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Permanent link

Package bipartite updated to version 2.14 with previous version 2.13 dated 2019-05-21

Title: Visualising Bipartite Networks and Calculating Some (Ecological) Indices
Description: Functions to visualise webs and calculate a series of indices commonly used to describe pattern in (ecological) webs. It focuses on webs consisting of only two levels (bipartite), e.g. pollination webs or predator-prey-webs. Visualisation is important to get an idea of what we are actually looking at, while the indices summarise different aspects of the web's topology.
Author: Carsten F. Dormann, Jochen Fruend and Bernd Gruber, with additional code from Stephen Beckett, Mariano Devoto, Jose Iriondo, Tove Opsahl, Rouven Strauss and Diego Vazquez, also based on C-code developed by Nils Bluethgen, Aaron Clauset/Rouven Strauss and Miguel Rodriguez-Girones
Maintainer: Carsten F. Dormann <carsten.dormann@biom.uni-freiburg.de>

Diff between bipartite versions 2.13 dated 2019-05-21 and 2.14 dated 2020-01-08

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More information about bipartite at CRAN
Permanent link

Package biogram updated to version 1.6.1 with previous version 1.4 dated 2017-01-05

Title: N-Gram Analysis of Biological Sequences
Description: Tools for extraction and analysis of various n-grams (k-mers) derived from biological sequences (proteins or nucleic acids). Contains QuiPT (quick permutation test) for fast feature-filtering of the n-gram data.
Author: Michal Burdukiewicz [cre, aut] (<https://orcid.org/0000-0001-8926-582X>), Piotr Sobczyk [aut], Chris Lauber [aut], Dominik Rafacz [aut]
Maintainer: Michal Burdukiewicz <michalburdukiewicz@gmail.com>

Diff between biogram versions 1.4 dated 2017-01-05 and 1.6.1 dated 2020-01-08

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More information about biogram at CRAN
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Package BH updated to version 1.72.0-3 with previous version 1.72.0-2 dated 2019-12-17

Title: Boost C++ Header Files
Description: Boost provides free peer-reviewed portable C++ source libraries. A large part of Boost is provided as C++ template code which is resolved entirely at compile-time without linking. This package aims to provide the most useful subset of Boost libraries for template use among CRAN packages. By placing these libraries in this package, we offer a more efficient distribution system for CRAN as replication of this code in the sources of other packages is avoided. As of release 1.72.0-3, the following Boost libraries are included: 'accumulators' 'algorithm' 'align' 'any' 'atomic' 'bimap' 'bind' 'circular_buffer' 'compute' 'concept' 'config' 'container' 'date_time' 'detail' 'dynamic_bitset' 'exception' 'flyweight' 'foreach' 'functional' 'fusion' 'geometry' 'graph' 'heap' 'icl' 'integer' 'interprocess' 'intrusive' 'io' 'iostreams' 'iterator' 'math' 'move' 'mp11' 'mpl' 'multiprcecision' 'numeric' 'pending' 'phoenix' 'polygon' 'preprocessor' 'propery_tree' 'random' 'range' 'scope_exit' 'smart_ptr' 'sort' 'spirit' 'tuple' 'type_traits' 'typeof' 'unordered' 'utility' 'uuid'.
Author: Dirk Eddelbuettel, John W. Emerson and Michael J. Kane
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between BH versions 1.72.0-2 dated 2019-12-17 and 1.72.0-3 dated 2020-01-08

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More information about BH at CRAN
Permanent link

Package AsynchLong updated to version 2.1 with previous version 2.0 dated 2016-01-22

Title: Regression Analysis of Sparse Asynchronous Longitudinal Data
Description: Estimation of regression models for sparse asynchronous longitudinal observations, where time-dependent response and covariates are mismatched and observed intermittently within subjects. Kernel weighted estimating equations are used for generalized linear models with either time-invariant or time-dependent coefficients. Cao, H., Li, J., and Fine, J. P. (2016) <doi:10.1214/16-EJS1141>. Cao, H., Zeng, D., and Fine, J. P. (2015) <doi:10.1111/rssb.12086>.
Author: Hongyuan Cao, Donglin Zeng, Jialiang Li, Jason P. Fine, and Shannon T. Holloway
Maintainer: Shannon T. Holloway <sthollow@ncsu.edu>

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Package arrangements updated to version 1.1.8 with previous version 1.1.7 dated 2019-11-02

Title: Fast Generators and Iterators for Permutations, Combinations, Integer Partitions and Compositions
Description: Fast generators and iterators for permutations, combinations, integer partitions and compositions. The arrangements are in lexicographical order and generated iteratively in a memory efficient manner. It has been demonstrated that 'arrangements' outperforms most existing packages of similar kind. Benchmarks could be found at <https://randy3k.github.io/arrangements/articles/benchmark.html>.
Author: Randy Lai [aut, cre]
Maintainer: Randy Lai <randy.cs.lai@gmail.com>

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Package agop updated to version 0.2-3 with previous version 0.2-2 dated 2019-03-08

Title: Aggregation Operators and Preordered Sets
Description: Tools supporting multi-criteria and group decision making, including variable number of criteria, by means of aggregation operators, spread measures, fuzzy logic connectives, fusion functions, and preordered sets. Possible applications include, but are not limited to, quality management, scientometrics, software engineering, etc.
Author: Marek Gagolewski [aut, cre] (<https://orcid.org/0000-0003-0637-6028>), Anna Cena [ctb] (<https://orcid.org/0000-0001-8697-5383>)
Maintainer: Marek Gagolewski <marek@gagolewski.com>

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Package wordspace updated to version 0.2-6 with previous version 0.2-5 dated 2019-07-13

Title: Distributional Semantic Models in R
Description: An interactive laboratory for research on distributional semantic models ('DSM', see <https://en.wikipedia.org/wiki/Distributional_semantics> for more information).
Author: Stefan Evert [http://www.stefan-evert.de/]
Maintainer: Stefan Evert <stefan.evert@fau.de>

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Package wiqid updated to version 0.2.3 with previous version 0.2.2 dated 2019-06-05

Title: Quick and Dirty Estimates for Wildlife Populations
Description: Provides simple, fast functions for maximum likelihood and Bayesian estimates of wildlife population parameters, suitable for use with simulated data or bootstraps. Early versions were indeed quick and dirty, but optional error-checking routines and meaningful error messages have been added. Includes single and multi-season occupancy, closed capture population estimation, survival, species richness and distance measures.
Author: Mike Meredith
Maintainer: Mike Meredith <mmeredith@wcs.org>

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Package weathercan updated to version 0.3.2 with previous version 0.3.1 dated 2019-09-29

Title: Download Weather Data from the Environment and Climate Change Canada Website
Description: Provides means for downloading historical weather data from the Environment and Climate Change Canada website (<http://climate.weather.gc.ca/historical_data/search_historic_data_e.html>). Data can be downloaded from multiple stations and over large date ranges and automatically processed into a single dataset. Tools are also provided to identify stations either by name or proximity to a location.
Author: Steffi LaZerte [aut, cre] (<https://orcid.org/0000-0002-7690-8360>), Sam Albers [ctb] (<https://orcid.org/0000-0002-9270-7884>), Nick Brown [ctb] (<https://orcid.org/0000-0002-2719-0671>)
Maintainer: Steffi LaZerte <steffi@steffi.ca>

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Package vtree updated to version 4.0.0 with previous version 3.0.0 dated 2019-10-14

Title: Display Information About Nested Subsets of a Data Frame
Description: A tool for calculating and drawing "variable trees". Variable trees display information about hierarchical subsets of a data frame defined by values of categorical variables.
Author: Nick Barrowman [aut, cre] Sebastian Gatscha <kona1@gmx.at> [aut] (Shiny interface) Andrea Leofreddi <a.leofreddi@vleo.net> [cph] (svg-pan-zoom library)
Maintainer: Nick Barrowman <nbarrowman@cheo.on.ca>

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Package vtreat updated to version 1.5.0 with previous version 1.4.8 dated 2019-12-08

Title: A Statistically Sound 'data.frame' Processor/Conditioner
Description: A 'data.frame' processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. 'vtreat' prepares variables so that data has fewer exceptional cases, making it easier to safely use models in production. Common problems 'vtreat' defends against: 'Inf', 'NA', too many categorical levels, rare categorical levels, and new categorical levels (levels seen during application, but not during training). Reference: "'vtreat': a data.frame Processor for Predictive Modeling", Zumel, Mount, 2016, <DOI:10.5281/zenodo.1173313>.
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

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Package visualize updated to version 4.4.0 with previous version 4.3.0 dated 2017-04-27

Title: Graph Probability Distributions with User Supplied Parameters and Statistics
Description: Graphs the pdf or pmf and highlights what area or probability is present in user defined locations. Visualize is able to provide lower tail, bounded, upper tail, and two tail calculations. Supports strict and equal to inequalities. Also provided on the graph is the mean and variance of the distribution.
Author: James Balamuta [aut, cph, cre] (<https://orcid.org/0000-0003-2826-8458>)
Maintainer: James Balamuta <james.balamuta@gmail.com>

Diff between visualize versions 4.3.0 dated 2017-04-27 and 4.4.0 dated 2020-01-08

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Permanent link

Package umap updated to version 0.2.4.1 with previous version 0.2.4.0 dated 2019-12-07

Title: Uniform Manifold Approximation and Projection
Description: Uniform manifold approximation and projection is a technique for dimension reduction. The algorithm was described by McInnes and Healy (2018) in <arXiv:1802.03426>. This package provides an interface for two implementations. One is written from scratch, including components for nearest-neighbor search and for embedding. The second implementation is a wrapper for 'python' package 'umap-learn' (requires separate installation, see vignette for more details).
Author: Tomasz Konopka [aut, cre]
Maintainer: Tomasz Konopka <tokonopka@gmail.com>

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Package trialr updated to version 0.1.3 with previous version 0.1.2 dated 2019-06-25

Title: Clinical Trial Designs in 'rstan'
Description: A collection of clinical trial designs and methods, implemented in 'rstan' and R, including: the Continual Reassessment Method by O'Quigley et al. (1990) <doi:10.2307/2531628>; EffTox by Thall & Cook (2004) <doi:10.1111/j.0006-341X.2004.00218.x>; and the Augmented Binary method by Wason & Seaman (2013) <doi:10.1002/sim.5867>; and more. We provide functions to aid model-fitting and analysis. The 'rstan' implementations may also serve as a cookbook to anyone looking to extend or embellish these models. We hope that this package encourages the use of Bayesian methods in clinical trials. There is a preponderance of early phase trial designs because this is where Bayesian methods are used most. If there is a method you would like implemented, please get in touch.
Author: Kristian Brock [aut, cre] (<https://orcid.org/0000-0002-3921-0166>), Trustees of Columbia University [cph]
Maintainer: Kristian Brock <kristian.brock@gmail.com>

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Package tempR updated to version 0.9.9.16 with previous version 0.9.9.15 dated 2018-05-29

Title: Temporal Sensory Data Analysis
Description: Analysis and visualization of data from temporal sensory methods, including for temporal check-all-that-apply (TCATA) and temporal dominance of sensations (TDS).
Author: J.C. Castura [aut, cre, ctb] (<https://orcid.org/0000-0002-1640-833X>)
Maintainer: J.C. Castura <jcastura@compusense.com>

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Package rtweet updated to version 0.7.0 with previous version 0.6.9 dated 2019-12-19

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>. This package has been peer-reviewed by rOpenSci (v. 0.6.9).
Author: Michael W. Kearney [aut, cre] (<https://orcid.org/0000-0002-0730-4694>), Andrew Heiss [rev] (<https://orcid.org/0000-0002-3948-3914>), Francois Briatte [rev]
Maintainer: Michael W. Kearney <kearneymw@missouri.edu>

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Permanent link

Package rquery updated to version 1.4.1 with previous version 1.4.0 dated 2019-12-01

Title: Relational Query Generator for Data Manipulation at Scale
Description: A piped query generator based on Edgar F. Codd's relational algebra, and on production experience using 'SQL' and 'dplyr' at big data scale. The design represents an attempt to make 'SQL' more teachable by denoting composition by a sequential pipeline notation instead of nested queries or functions. The implementation delivers reliable high performance data processing on large data systems such as 'Spark', databases, and 'data.table'. Package features include: data processing trees or pipelines as observable objects (able to report both columns produced and columns used), optimized 'SQL' generation as an explicit user visible table modeling step, plus explicit query reasoning and checking.
Author: John Mount [aut, cre], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

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Package rmio updated to version 0.1.3 with previous version 0.1.2 dated 2019-02-22

Title: Provides 'mio' C++11 Header Files
Description: Provides header files of 'mio', a cross-platform C++11 header-only library for memory mapped file IO <https://github.com/mandreyel/mio>.
Author: Florian Privé [aut, cre]
Maintainer: Florian Privé <florian.prive.21@gmail.com>

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More information about rmio at CRAN
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Package psychTools updated to version 1.9.12 with previous version 1.9.5.26 dated 2019-05-29

Title: Tools to Accompany the 'psych' Package for Psychological Research
Description: Support functions, data sets, and vignettes for the 'psych' package. Contains several of the biggest data sets for the 'psych' package as well as one vignette. A few helper functions for file manipulation are included as well. For more information, see the <https://personality-project.org/r> web page.
Author: William Revelle [aut, cre] (<https://orcid.org/0000-0003-4880-9610>)
Maintainer: William Revelle <revelle@northwestern.edu>

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Package psych (with last version 1.9.12) was removed from CRAN

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

2019-12-20 1.9.12
2019-01-12 1.8.12
2018-10-31 1.8.10
2018-05-06 1.8.4
2018-03-30 1.8.3.3
2017-09-09 1.7.8
2017-05-03 1.7.5
2017-03-22 1.7.3.21
2017-01-08 1.6.12
2016-09-17 1.6.9
2016-06-28 1.6.6
2016-05-12 1.6.4
2015-08-30 1.5.8
2015-07-08 1.5.6
2015-04-27 1.5.4
2015-01-21 1.5.1
2014-08-12 1.4.8.11
2014-08-10 1.4.8
2014-05-14 1.4.5
2014-04-14 1.4.4
2014-03-25 1.4.3
2014-02-04 1.4.2.3
2014-02-03 1.4.2
2014-01-20 1.4.1
2013-12-12 1.3.12
2013-10-14 1.3.10.12
2013-10-07 1.3.10
2013-02-26 1.3.2
2013-01-20 1.2.12
2012-09-07 1.2.8
2012-05-02 1.2.4
2012-02-16 1.2.1
2012-01-02 1.1.12
2011-11-15 1.1.1111
2011-11-02 1.1.11
2011-10-17 1.1.10
2011-06-09 1.0-98
2011-05-15 1.0-97
2011-04-06 1.0-96
2011-03-31 1.0-95
2011-01-09 1.0-94
2010-12-23 1.0-93
2010-09-22 1.0-92
2010-09-15 1.0-91
2010-07-24 1.0-90
2010-06-28 1.0-89
2010-04-27 1.0-88
2010-04-06 1.0-87
2009-12-20 1.0-85
2009-10-26 1.0-83
2009-10-05 1.0-81
2009-09-30 1.0-80
2009-07-30 1.0-78
2009-07-27 1.0-77
2009-07-18 1.0-76
2009-07-01 1.0-75
2009-06-26 1.0-74
2009-06-02 1.0-72
2009-05-25 1.0-70
2009-03-27 1.0-67
2009-02-08 1.0-65
2009-01-25 1.0-63
2009-01-05 1.0-61
2009-01-05 1.0-62
2008-09-10 1.0-58
2008-07-12 1.0-51
2008-03-24 1.0-42
2007-10-11 1.0-33
2007-08-03 1.0-27
2007-06-04 1.0-25

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Package totalcensus updated to version 0.6.3 with previous version 0.6.2 dated 2019-09-29

Title: Extract Decennial Census and American Community Survey Data
Description: Download summary files from Census Bureau <https://www2.census.gov/> and extract data, in particular high resolution data at block, block group, and tract level, from decennial census and American Community Survey 1-year and 5-year estimates.
Author: Guanglai Li
Maintainer: Guanglai Li <liguanglai@gmail.com>

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Package tfautograph updated to version 0.2.0 with previous version 0.1.0 dated 2019-10-09

Title: Autograph R for 'Tensorflow'
Description: Translate R control flow expressions into 'Tensorflow' graphs.
Author: Tomasz Kalinowski [aut, cre]
Maintainer: Tomasz Kalinowski <kalinowskit@gmail.com>

Diff between tfautograph versions 0.1.0 dated 2019-10-09 and 0.2.0 dated 2020-01-08

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Package tcensReg updated to version 0.1.5 with previous version 0.1.4 dated 2019-12-18

Title: MLE of a Truncated Normal Distribution with Censored Data
Description: Maximum likelihood estimation (MLE) of parameters assuming an underlying left truncated normal distribution with left censoring described in Williams, J, Kim, H, and Crespi, C. (2019) <arXiv:1911.11221>. Censoring is assumed to occur above the truncation threshold meaning that only censored observations are observed. Additional maximum likelihood estimation procedures are implemented to solve left censored only and left truncated only problems.
Author: Justin Williams [aut, cre]
Maintainer: Justin Williams <williazo@ucla.edu>

Diff between tcensReg versions 0.1.4 dated 2019-12-18 and 0.1.5 dated 2020-01-08

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Package survELtest updated to version 2.0.0 with previous version 1.0.1 dated 2019-02-17

Title: Comparing Multiple Survival Functions with Crossing Hazards in R
Description: Contains routines for computing the one-sided/two-sided integrated/maximally selected EL statistics for simultaneous testing, the one-sided/two-sided EL tests for pointwise testing, and an initial test that precedes one-sided testing to exclude the possibility of crossings or alternative orderings among the survival functions.
Author: Hsin-wen Chang [aut, cre] <hwchang@stat.sinica.edu.tw>
Maintainer: Guo-You Lan <jj6020770416jj@gmail.com>

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Package sugarbag updated to version 0.1.2 with previous version 0.1.1 dated 2019-08-20

Title: Create Tessellated Hexagon Maps
Description: Create a hexagon tilegram from spatial polygons. Each polygon is represented by a hexagon tile, placed as close to it's original centroid as possible, with a focus on maintaining spatial relationship to a focal point. Developed to aid visualisation and analysis of spatial distributions across Australia, which can be challenging due to the concentration of the population on the coast and wide open interior.
Author: Stephanie Kobakian [aut, cre], Dianne Cook [aut, ths]
Maintainer: Stephanie Kobakian <stephanie.kobakian@gmail.com>

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Package spnn updated to version 1.2.1 with previous version 1.2 dated 2019-09-12

Title: Scale Invariant Probabilistic Neural Networks
Description: Scale invariant version of the original PNN proposed by Specht (1990) <doi:10.1016/0893-6080(90)90049-q> with the added functionality of allowing for smoothing along multiple dimensions while accounting for covariances within the data set. It is written in the R statistical programming language. Given a data set with categorical variables, we use this algorithm to estimate the probabilities of a new observation vector belonging to a specific category. This type of neural network provides the benefits of fast training time relative to backpropagation and statistical generalization with only a small set of known observations.
Author: Romin Ebrahimi
Maintainer: Romin Ebrahimi <romin.ebrahimi@utexas.edu>

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Package solvebio updated to version 2.7.2 with previous version 2.7.1 dated 2019-12-16

Title: The Official SolveBio API Client
Description: R language bindings for SolveBio's API. SolveBio is a biomedical knowledge hub that enables life science organizations to collect and harmonize the complex, disparate "multi-omic" data essential for today's R&D and BI needs. For more information, visit <https://www.solvebio.com>.
Author: David Caplan
Maintainer: David Caplan <dcaplan@solvebio.com>

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Package smovie updated to version 1.1.2 with previous version 1.1.1 dated 2019-11-25

Title: Some Movies to Illustrate Concepts in Statistics
Description: Provides movies to help students to understand statistical concepts. The 'rpanel' package <https://cran.r-project.org/package=rpanel> is used to create interactive plots that move to illustrate key statistical ideas and methods. There are movies to: visualise probability distributions (including user-supplied ones); illustrate sampling distributions of the sample mean (central limit theorem), the median, the sample maximum (extremal types theorem) and (the Fisher transformation of the) Pearson product moment correlation coefficient; examine the influence of an individual observation in simple linear regression; illustrate key concepts in statistical hypothesis testing. Also provided are dpqr functions for the distribution of the Fisher transformation of the correlation coefficient under sampling from a bivariate normal distribution.
Author: Paul J. Northrop [aut, cre, cph]
Maintainer: Paul J. Northrop <p.northrop@ucl.ac.uk>

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Package semEff updated to version 0.2.0 with previous version 0.1.0 dated 2019-11-04

Title: Automatic Calculation of Effects for Piecewise Structural Equation Models
Description: Provides functionality to automatically calculate direct, indirect, and total effects from piecewise structural equation models, comprising lists of fitted models representing structured equations (Lefcheck 2016 <doi:10/f8s8rb>). Confidence intervals are provided via bootstrapping.
Author: Mark Murphy [aut, cre]
Maintainer: Mark Murphy <murphymv@gmail.com>

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Package scTenifoldNet updated to version 1.1.0 with previous version 1.0.0 dated 2019-12-15

Title: Construct and Compare scGRN from Single-Cell Transcriptomic Data
Description: A workflow based on machine learning methods to construct and compare single-cell gene regulatory networks (scGRN) using single-cell RNA-seq (scRNA-seq) data collected from different conditions. Uses principal component regression, tensor decomposition, and manifold alignment, to accurately identify even subtly shifted gene expression programs.
Author: Daniel Osorio [aut, cre] (<https://orcid.org/0000-0003-4424-8422>), Yan Zhong [aut, ctb], Guanxun Li [aut, ctb], Jianhua Huang [aut, ctb], James Cai [aut, ctb, ths] (<https://orcid.org/0000-0002-8081-6725>)
Maintainer: Daniel Osorio <dcosorioh@tamu.edu>

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Package rscorecard updated to version 0.14.0 with previous version 0.13.0 dated 2019-10-01

Title: A Method to Download Department of Education College Scorecard Data
Description: A method to download Department of Education College Scorecard data using the public API <https://collegescorecard.ed.gov/data/documentation/>. It is based on the 'dplyr' model of piped commands to select and filter data in a single chained function call. An API key from the U.S. Department of Education is required.
Author: Benjamin Skinner [aut, cre] (<https://orcid.org/0000-0002-0337-7415>)
Maintainer: Benjamin Skinner <btskinner@coe.ufl.edu>

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Package rgeoprofile updated to version 0.1.1 with previous version 0.1.0 dated 2019-11-25

Title: Geographic Profiling Methods for Serial Crime Analysis
Description: An implementation of functions for the analysis of serial crime incidents. The package implements algorithms for the geographical profiling of serial incidents in attempt to prioritize the area in which the anchor point or home base of the perpetrator is located. The geographic profiling methods in the package are implemented based upon the 'Dragnet' software by Canter, Coffey, Huntley, and Missen (2000) <doi:10.1023/A:1007551316253>, the 'CrimeStat' software by Levine (2013) <https://nij.ojp.gov/topics/articles/crimestat-spatial-statistics-program-analysis-crime-incident-locations>, and the criminal geographic targeting model outlined in Rossmo (2000, ISBN:978-0849381294) and Rossmo (1995) <http://summit.sfu.ca/item/6820>.
Author: Jamie Spaulding and Keith Morris
Maintainer: Jamie Spaulding <jspauldi@mix.wvu.edu>

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Package rdatacite updated to version 0.5.0 with previous version 0.4.2 dated 2019-05-07

Title: Client for the 'DataCite' API
Description: Client for the web service methods provided by 'DataCite' (<https://www.datacite.org/>), including functions to interface with their 'RESTful' search API. The API is backed by 'Elasticsearch', allowing expressive queries, including faceting.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>)
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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Package ppitables updated to version 0.5.2 with previous version 0.5.1 dated 2019-09-28

Title: Lookup Tables to Generate Poverty Likelihoods and Rates using the Poverty Probability Index (PPI)
Description: The Poverty Probability Index (PPI) is a poverty measurement tool for organizations and businesses with a mission to serve the poor. The PPI is statistically-sound, yet simple to use: the answers to 10 questions about a household’s characteristics and asset ownership are scored to compute the likelihood that the household is living below the poverty line – or above by only a narrow margin. This package contains country-specific lookup data tables used as reference to determine the poverty likelihood of a household based on their score from the country-specific PPI questionnaire. These lookup tables have been extracted from documentation of the PPI found at <https://www.povertyindex.org> and managed by Innovations for Poverty Action <https://www.poverty-action.org>.
Author: Ernest Guevarra [aut, cre] (<https://orcid.org/0000-0002-4887-4415>)
Maintainer: Ernest Guevarra <ernestgmd@gmail.com>

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Package paramhetero updated to version 0.2.0 with previous version 0.1.0 dated 2019-04-27

Title: Numeric and Visual Comparisons of Heterogeneity in Parametric Models
Description: Performs statistical tests to compare coefficients and residual variance across multiple models. Also provides graphical methods for assessing heterogeneity in coefficients and residuals. Currently supports linear and generalized linear models, as well as their multi-level and complex survey-weighted variations from the 'lme4' and 'survey' packages, respectively. Reference: Li (2015) <https://scholarscompass.vcu.edu/etd/3985/>.
Author: Travis Loux [aut, cre], Cara Wiskow [aut]
Maintainer: Travis Loux <travis.loux@slu.edu>

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Package olr updated to version 1.1 with previous version 1.0 dated 2019-12-22

Title: Optimal Linear Regression
Description: The optimal linear regression olr(), runs all the possible combinations of linear regression equations. The olr() returns the equation which has the greatest adjusted R-squared term or the greatest R-squared term based on the user's discretion. Essentially, the olr() returns the best fit equation out of all the possible equations. R-squared increases with the addition of an explanatory variable whether it is 'significant' or not, thus this was developed to eliminate that conundrum. Adjusted R-squared is preferred to overcome this phenomenon, but each combination will still produce different results and this will return the best one. Complimentary functions are included which list all of the equations, all of the equations in ascending order, a function to give the user a specific model's summary, and the list of adjusted R-squared terms & R-squared terms. A 'Python' version is available at: <https://pypi.org/project/olr/>.
Author: Mathew Fok
Maintainer: Mathew Fok <mfok@stevens.edu>

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Package netgen updated to version 1.3.2 with previous version 1.3 dated 2016-01-22

Title: Network Generator for Combinatorial Graph Problems
Description: Methods for the generation of a wide range of network geographies, e.g., grid networks or clustered networks. Useful for the generation of benchmarking instances for the investigation of, e.g., Vehicle-Routing-Problems or Travelling Salesperson Problems.
Author: Jakob Bossek [aut, cre]
Maintainer: Jakob Bossek <j.bossek@gmail.com>

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 62 files changed, 591 insertions(+), 240 deletions(-)

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New package publipha with initial version 0.1.0
Package: publipha
Title: Bayesian Meta-Analysis with Publications Bias and P-Hacking
Version: 0.1.0
Authors@R: c( person("Jonas", "Moss", , "jonas.gjertsen@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-6876-6964") ), person("Trustees of Columbia University", role = "cph"))
Description: Tools for Bayesian estimation of meta-analysis models that account for publications bias or p-hacking. For publication bias, this package implements a variant of the p-value based selection model of Hedges (1992) <doi:10.1214/ss/1177011364> with discrete selection probabilities. It also implements the mixture of truncated normals model for p-hacking described in Moss and De Bin (2019) <arXiv:1911.12445>.
License: GPL-3
Depends: methods, R (>= 3.5.0), Rcpp (>= 0.12.19)
Imports: rstan (>= 2.18.1), rstantools (>= 1.5.1), loo, truncnorm
LinkingTo: BH (>= 1.72.0-2), Rcpp (>= 0.12.19), RcppEigen (>= 0.3.3.4.0), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
SystemRequirements: GNU make
RoxygenNote: 7.0.2
Suggests: testthat (>= 2.1.0), covr, knitr, rmarkdown, metafor, qtl, spelling
Collate: 'data-anderson2010.R' 'data-baskerville2012.R' 'data-cuddy2018.R' 'data-dang2018.R' 'data-motyl2017.R' 'densities-helpers.R' 'densities-mpsnorm.R' 'densities-phnorm.R' 'densities-psnorm.R' 'densities-snorm.R' 'ma.R' 'generics.R' 'publipha-package.R' 'stanmodels.R' 'tools.R' 'utility.R' 'zzz.R'
Language: en-US
Packaged: 2020-01-07 13:39:23 UTC; jonas
Author: Jonas Moss [aut, cre] (<https://orcid.org/0000-0002-6876-6964>), Trustees of Columbia University [cph]
Maintainer: Jonas Moss <jonas.gjertsen@gmail.com>
Repository: CRAN
Date/Publication: 2020-01-08 17:20:02 UTC

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Package neonUtilities updated to version 1.3.3 with previous version 1.3.2 dated 2019-12-03

Title: Utilities for Working with NEON Data
Description: NEON data packages can be accessed through the NEON Data Portal <https://data.neonscience.org/home> or through the NEON Data API (see <https://data.neonscience.org/data-api> for documentation). Data delivered from the Data Portal are provided as monthly zip files packaged within a parent zip file, while individual files can be accessed from the API. This package provides tools that aid in discovering, downloading, and reformatting data prior to use in analyses. This includes downloading data via the API, merging data tables by type, and converting formats. For more information, see the readme file at <https://github.com/NEONScience/NEON-utilities>.
Author: National Ecological Observatory Network [aut], Claire Lunch [cre, ctb], Christine Laney [ctb], Nathan Mietkiewicz [ctb], Eric Sokol [ctb], Kaelin Cawley [ctb]
Maintainer: Claire Lunch <clunch@battelleecology.org>

Diff between neonUtilities versions 1.3.2 dated 2019-12-03 and 1.3.3 dated 2020-01-08

 neonUtilities-1.3.2/neonUtilities/inst/extdata/expected/gp/readme.txt           |only
 neonUtilities-1.3.2/neonUtilities/inst/extdata/expected/gp/validation.csv       |only
 neonUtilities-1.3.2/neonUtilities/inst/extdata/expected/gp/variables.csv        |only
 neonUtilities-1.3.3/neonUtilities/DESCRIPTION                                   |   18 -
 neonUtilities-1.3.3/neonUtilities/MD5                                           |   28 -
 neonUtilities-1.3.3/neonUtilities/R/getReadmePublicationDate.R                  |   10 
 neonUtilities-1.3.3/neonUtilities/R/getRecentPublication.R                      |   12 
 neonUtilities-1.3.3/neonUtilities/R/readTableNEON.R                             |    7 
 neonUtilities-1.3.3/neonUtilities/R/stackByTable.R                              |   10 
 neonUtilities-1.3.3/neonUtilities/R/stackDataFilesParallel.R                    |   39 ++
 neonUtilities-1.3.3/neonUtilities/R/sysdata.rda                                 |binary
 neonUtilities-1.3.3/neonUtilities/R/zipsByProduct.R                             |  150 ++++++----
 neonUtilities-1.3.3/neonUtilities/README.md                                     |   18 +
 neonUtilities-1.3.3/neonUtilities/inst/extdata/expected/gp/readme_10109.txt     |only
 neonUtilities-1.3.3/neonUtilities/inst/extdata/expected/gp/validation_10109.csv |only
 neonUtilities-1.3.3/neonUtilities/inst/extdata/expected/gp/variables_10109.csv  |only
 neonUtilities-1.3.3/neonUtilities/man/getReadmePublicationDate.Rd               |    4 
 neonUtilities-1.3.3/neonUtilities/man/stackDataFilesParallel.Rd                 |    4 
 18 files changed, 201 insertions(+), 99 deletions(-)

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Permanent link

New package mlr3viz with initial version 0.1.0
Package: mlr3viz
Title: Visualizations for 'mlr3'
Version: 0.1.0
Authors@R: person(given = "Michel", family = "Lang", role = c("cre", "aut"), email = "michellang@gmail.com", comment = c(ORCID = "0000-0001-9754-0393"))
Description: Provides visualizations for 'mlr3' objects such as tasks, predictions, resample results or benchmark results via the autoplot() generic of 'ggplot2'. The returned 'ggplot' objects are intended to provide sensible defaults, yet can easily be customized to create camera-ready figures. Visualizations include barplots, boxplots, histograms, ROC curves, and Precision-Recall curves.
License: LGPL-3
URL: https://mlr3viz.mlr-org.com, https://github.com/mlr-org/mlr3viz
BugReports: https://github.com/mlr-org/mlr3viz/issues
Depends: R (>= 3.1.0)
Imports: checkmate, data.table, ggplot2, mlr3misc, utils
Suggests: GGally, lgr, mlr3 (>= 0.1.6), mlr3filters, mlr3proba, precrec, rpart, survival, testthat
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
RoxygenNote: 7.0.2
Packaged: 2020-01-07 13:04:47 UTC; michel
Author: Michel Lang [cre, aut] (<https://orcid.org/0000-0001-9754-0393>)
Maintainer: Michel Lang <michellang@gmail.com>
Repository: CRAN
Date/Publication: 2020-01-08 17:10:02 UTC

More information about mlr3viz at CRAN
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Package missingHE updated to version 1.3.2 with previous version 1.2.1 dated 2019-09-21

Title: Missing Outcome Data in Health Economic Evaluation
Description: Contains a suite of functions for health economic evaluations with missing outcome data. The package can fit different types of statistical models under a fully Bayesian approach using the software 'JAGS' (which should be installed locally and which is loaded in 'missingHE' via the 'R' package 'R2jags'). Three classes of models can be fitted under a variety of missing data assumptions: selection models, pattern mixture models and hurdle models. In addition to model fitting, 'missingHE' provides a set of specialised functions to assess model convergence and fit, and to summarise the statistical and economic results using different types of measures and graphs. The methods implemented are described in Mason (2018) <doi:10.1002/hec.3793>, Molenberghs (2000) <doi:10.1007/978-1-4419-0300-6_18> and Gabrio (2019) <doi:10.1002/sim.8045>.
Author: Andrea Gabrio [aut, cre]
Maintainer: Andrea Gabrio <ucakgab@ucl.ac.uk>

Diff between missingHE versions 1.2.1 dated 2019-09-21 and 1.3.2 dated 2020-01-08

 DESCRIPTION                |    8 
 MD5                        |   82 +++----
 NAMESPACE                  |    6 
 R/data.R                   |   16 -
 R/data_read_hurdle.R       |   14 -
 R/data_read_pattern.R      |    4 
 R/data_read_selection.R    |    8 
 R/diagnostic.R             |   72 +++---
 R/hurdle.R                 |   12 -
 R/jagsresults.R            |   71 ++++++
 R/pattern.R                |   12 -
 R/pic.R                    |    9 
 R/ppc.R                    |  179 +++++++++++++---
 R/prior_hurdle.R           |   90 ++++++--
 R/prior_pattern.R          |  315 ++++++++++++++++++++++++++++
 R/prior_selection.R        |   32 ++
 R/run_hurdle.R             |   46 +++-
 R/run_pattern.R            |   17 -
 R/run_selection.R          |   17 -
 R/selection.R              |   12 -
 R/write_hurdle.R           |  502 +++++++++++++++++++++++++++++++++++++++++++--
 R/write_pattern.R          |  335 +++++++++++++++++++++++++++++-
 R/write_selection.R        |  114 +++++++++-
 data/MenSS.RData           |binary
 man/MenSS.Rd               |   16 -
 man/data_read_hurdle.Rd    |   10 
 man/data_read_pattern.Rd   |    4 
 man/data_read_selection.Rd |    4 
 man/hurdle.Rd              |    3 
 man/jagsresults.Rd         |   71 ++++++
 man/pattern.Rd             |    3 
 man/pic.Rd                 |    9 
 man/prior_hurdle.Rd        |   11 
 man/prior_pattern.Rd       |    3 
 man/prior_selection.Rd     |   11 
 man/run_hurdle.Rd          |    3 
 man/run_pattern.Rd         |    3 
 man/run_selection.Rd       |    3 
 man/selection.Rd           |    3 
 man/write_hurdle.Rd        |   11 
 man/write_pattern.Rd       |    3 
 man/write_selection.Rd     |   11 
 42 files changed, 1890 insertions(+), 265 deletions(-)

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New package jfa with initial version 0.1.0
Package: jfa
Title: Bayesian and Classical Audit Sampling
Version: 0.1.0
Authors@R: person(given = "Koen", family = "Derks", role = c("aut", "cre"), email = "k.derks@nyenrode.nl")
Description: Implements the audit sampling workflow as discussed in Derks et al. (2019) <doi:10.31234/osf.io/9f6ub>. The package makes it easy for an auditor to plan an audit sample, sample from the population, and evaluating that sample using various confidence bounds according to the International Standards on Auditing. Furthermore, the package implements Bayesian equivalents of these methods.
Language: en-US
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
VignetteBuilder: knitr
Suggests: testthat, knitr, rmarkdown
NeedsCompilation: no
Packaged: 2020-01-07 13:00:46 UTC; derksk
Author: Koen Derks [aut, cre]
Maintainer: Koen Derks <k.derks@nyenrode.nl>
Repository: CRAN
Date/Publication: 2020-01-08 17:10:10 UTC

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New package wrProteo with initial version 1.0.0
Package: wrProteo
Version: 1.0.0
Title: Proteomics Data Analysis Functions
Authors@R: person("Wolfgang", "Raffelsberger", email = "w.raffelsberger@unistra.fr", role = c("aut", "cre"))
Author: Wolfgang Raffelsberger [aut, cre]
Maintainer: Wolfgang Raffelsberger <w.raffelsberger@unistra.fr>
Description: Data analysis of proteomics experiments by mass spectrometry is supported by this collection of functions mostly dedicated to the analysis of (bottom-up) quantitative (XIC) data. Fasta-formatted proteomes (eg from Uniprot) can be read with automatic parsing and multiple annotation types (like species origin, abbreviated gene names, etc) extracted. Quantitative proteomics measurements frequently contain multiple NA values, due to physical absence of given peptides in some samples, limitations in sensitivity or other reasons. The functions provided here help to inspect graphically the data to investigate the nature of NA-values via their respective replicate measurements and to help/confirm the choice of NA-replacement by low random values. Dedicated filtering and statistical testing using the framework of package 'limma' can be run, enhanced by multiple rounds of NA-replacements to provide robustness towards rare stochastic events. Multi-species samples, as frequently used in benchmark-tests, can be run with special options consideration separating the data into sub-groups during normalization and testing. Subsequently, ROC curves can be constructed to compare multiple analysis approaches.
Depends: R (>= 3.1.0)
Imports: graphics, limma, stats, wrMisc
Suggests: fdrtool, grDevices, MASS, RColorBrewer, ROTS, readxl
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2020-01-07 09:42:08 UTC; wraff
Repository: CRAN
Date/Publication: 2020-01-08 16:10:02 UTC

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New package syslognet with initial version 0.1.2.1
Package: syslognet
Type: Package
Title: Send Log Messages to Remote 'syslog' Server
Version: 0.1.2.1
Authors@R: c( person("Panagiotis", "Cheilaris", role = c("aut", "cre"), email = "philaris@gmail.com") )
Author: Panagiotis Cheilaris [aut, cre]
Maintainer: Panagiotis Cheilaris <philaris@gmail.com>
Description: Send 'syslog' protocol messages to a remote 'syslog' server specified by host name and TCP network port.
URL: https://github.com/philaris/syslognet
BugReports: https://github.com/philaris/syslognet/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
Imports: utils
NeedsCompilation: no
Packaged: 2020-01-07 10:08:27 UTC; philaris
Repository: CRAN
Date/Publication: 2020-01-08 16:10:05 UTC

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New package r2sundials with initial version 5.0.0-4
Package: r2sundials
Type: Package
Title: Wrapper for 'SUNDIALS' Solving ODE and Sensitivity Problem
Version: 5.0.0-4
Date: 2020-01-06
Authors@R: c( person("Serguei", "Sokol", role=c("cre", "aut"), email="sokol@insa-toulouse.fr"), person("Carol S.", "Woodward", role="ctb"), person("Daniel R.", "Reynolds", role="ctb"), person("Alan C.", "Hindmarsh", role="ctb"), person("David J.", "Gardner", role="ctb"), person("Cody J.", "Balos", role="ctb"), person("Radu", "Serban", role="ctb"), person("Scott D.", "Cohen", role="ctb"), person("Peter N.", "Brown", role="ctb"), person("George", "Byrne", role="ctb"), person("Allan G.", "Taylor", role="ctb"), person("Steven L.", "Lee", role="ctb"), person("Keith E.", "Grant", role="ctb"), person("Aaron", "Collier", role="ctb"), person("Lawrence E.", "Banks", role="ctb"), person("Steve", "Smith", role="ctb"), person("Cosmin", "Petra", role="ctb"), person("Slaven", "Peles", role="ctb"), person("John", "Loffeld", role="ctb"), person("Dan", "Shumaker", role="ctb"), person("Ulrike", "Yang", role="ctb"), person("James", "Almgren-Bell", role="ctb"), person("Shelby L.", "Lockhart", role="ctb"), person("Hilari C.", "Tiedeman", role="ctb"), person("Ting", "Yan", role="ctb"), person("Jean M.", "Sexton", role="ctb"), person("Chris", "White", role="ctb"), person("Lawrence Livermore National Security", role="cph"), person("Southern Methodist University", role="cph"), person("INRAE", role="cph") )
Maintainer: Serguei Sokol <sokol@insa-toulouse.fr>
Description: Wrapper for widely used 'SUNDIALS' software (SUite of Nonlinear and DIfferential/ALgebraic Equation Solvers) and more precisely to its 'CVODES' solver. It is aiming to solve ordinary differential equations (ODE) and optionally pending forward sensitivity problem. The wrapper is made 'R' friendly by allowing to pass custom parameters to user's callback functions. Such functions can be both written in 'R' and in 'C++' ('RcppArmadillo' flavor). In case of 'C++', performance is greatly improved so this option is highly advisable when performance matters. If provided, Jacobian matrix can be calculated either in dense or sparse format. In the latter case 'rmumps' package is used to solve corresponding linear systems. Root finding and pending event management are optional and can be specified as 'R' or 'C++' functions too. This makes them a very flexible tool for controlling the ODE system during the time course simulation. 'SUNDIALS' library was published in Hindmarsh et al. (2005) <doi:10.1145/1089014.1089020>.
BugReports: https://github.com/sgsokol/r2sundials/issues
Depends: R (>= 3.0.2), rmumps (>= 5.2.1-6)
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.0)
LinkingTo: Rcpp, RcppArmadillo, rmumps (>= 5.2.1-6)
Suggests: RcppXPtrUtils, slam, RUnit, deSolve, RcppArmadillo
RoxygenNote: 6.1.1
Encoding: UTF-8
NeedsCompilation: yes
Biarch: FALSE
Packaged: 2020-01-06 09:16:51 UTC; sokol
Author: Serguei Sokol [cre, aut], Carol S. Woodward [ctb], Daniel R. Reynolds [ctb], Alan C. Hindmarsh [ctb], David J. Gardner [ctb], Cody J. Balos [ctb], Radu Serban [ctb], Scott D. Cohen [ctb], Peter N. Brown [ctb], George Byrne [ctb], Allan G. Taylor [ctb], Steven L. Lee [ctb], Keith E. Grant [ctb], Aaron Collier [ctb], Lawrence E. Banks [ctb], Steve Smith [ctb], Cosmin Petra [ctb], Slaven Peles [ctb], John Loffeld [ctb], Dan Shumaker [ctb], Ulrike Yang [ctb], James Almgren-Bell [ctb], Shelby L. Lockhart [ctb], Hilari C. Tiedeman [ctb], Ting Yan [ctb], Jean M. Sexton [ctb], Chris White [ctb], Lawrence Livermore National Security [cph], Southern Methodist University [cph], INRAE [cph]
Repository: CRAN
Date/Publication: 2020-01-08 16:30:02 UTC

More information about r2sundials at CRAN
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Package listarrays updated to version 0.3.0 with previous version 0.2.0 dated 2019-03-24

Title: A Toolbox for Working with R Arrays in a Functional Programming Style
Description: A toolbox for R arrays. Flexibly split, bind, reshape, modify, subset and name arrays.
Author: Tomasz Kalinowski [aut, cre]
Maintainer: Tomasz Kalinowski <kalinowskit@gmail.com>

Diff between listarrays versions 0.2.0 dated 2019-03-24 and 0.3.0 dated 2020-01-08

 DESCRIPTION                    |    8 
 MD5                            |   70 +++---
 NAMESPACE                      |   96 ++++----
 R/bind.R                       |  416 +++++++++++++++++++-------------------
 R/dim.R                        |  276 ++++++++++++-------------
 R/dim2.R                       |  229 ++++++++++-----------
 R/extract.R                    |  197 ++++++++++--------
 R/map.R                        |  143 ++++++-------
 R/modify.R                     |  160 +++++++-------
 R/onehot.R                     |  283 ++++++++++++-------------
 R/reshape.R                    |   89 ++++----
 R/seq_along.R                  |   72 +++---
 R/shuffle.R                    |  105 ++++-----
 R/split.R                      |  447 +++++++++++++++++++++++------------------
 R/standardize.R                |   76 +++---
 R/utils.R                      |  172 +++++++--------
 R/zzz.R                        |   20 -
 README.md                      |    1 
 man/DIM.Rd                     |   34 +--
 man/array2.Rd                  |  100 ++++-----
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 man/drop_dimnames.Rd           |   54 ++--
 man/expand_dims.Rd             |   78 +++----
 man/extract_dim.Rd             |  104 ++++-----
 man/map_along_dim.Rd           |  114 +++++-----
 man/modify_along_dim.Rd        |   80 +++----
 man/ndim.Rd                    |   28 +-
 man/onehot.Rd                  |  157 +++++++-------
 man/seq_along_dim.Rd           |   78 +++----
 man/set_as_rows.Rd             |   70 +++---
 man/set_dim.Rd                 |  127 ++++++-----
 man/set_dimnames.Rd            |  138 ++++++------
 man/shuffle_rows.Rd            |   76 +++---
 man/split-array.Rd             |  207 +++++++++---------
 man/t.array.Rd                 |   46 ++--
 tests/testthat/test-dimnames.R |  158 +++++++-------
 36 files changed, 2388 insertions(+), 2281 deletions(-)

More information about listarrays at CRAN
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Package languageserver updated to version 0.3.3 with previous version 0.3.2 dated 2019-10-26

Title: Language Server Protocol
Description: An implementation of the Language Server Protocol for R. The Language Server protocol is used by an editor client to integrate features like auto completion. See <https://microsoft.github.io/language-server-protocol> for details.
Author: Randy Lai
Maintainer: Randy Lai <randy.cs.lai@gmail.com>

Diff between languageserver versions 0.3.2 dated 2019-10-26 and 0.3.3 dated 2020-01-08

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 languageserver-0.3.3/languageserver/DESCRIPTION                           |   13 
 languageserver-0.3.3/languageserver/MD5                                   |  136 ++-
 languageserver-0.3.3/languageserver/NAMESPACE                             |    2 
 languageserver-0.3.3/languageserver/NEWS.md                               |    7 
 languageserver-0.3.3/languageserver/R/capabilities.R                      |    4 
 languageserver-0.3.3/languageserver/R/completion.R                        |  229 ++++--
 languageserver-0.3.3/languageserver/R/definition.R                        |  208 +-----
 languageserver-0.3.3/languageserver/R/diagnostics.R                       |   58 +
 languageserver-0.3.3/languageserver/R/document.R                          |  264 ++++---
 languageserver-0.3.3/languageserver/R/formatting.R                        |  104 +--
 languageserver-0.3.3/languageserver/R/handlers-general.R                  |    9 
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 languageserver-0.3.3/languageserver/R/highlight.R                         |only
 languageserver-0.3.3/languageserver/R/hover.R                             |  143 +++-
 languageserver-0.3.3/languageserver/R/interfaces.R                        |    2 
 languageserver-0.3.3/languageserver/R/languagebase.R                      |    1 
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 languageserver-0.3.3/languageserver/R/log.R                               |    2 
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Package kayadata updated to version 0.4.3 with previous version 0.4.2 dated 2019-11-28

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] (<https://orcid.org/0000-0003-1375-6686>)
Maintainer: Jonathan Gilligan <jonathan.gilligan@vanderbilt.edu>

Diff between kayadata versions 0.4.2 dated 2019-11-28 and 0.4.3 dated 2020-01-08

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Package jjb updated to version 0.1.1 with previous version 0.1.0 dated 2018-10-14

Title: Balamuta Miscellaneous
Description: Set of common functions used for manipulating colors, detecting and interacting with 'RStudio', modeling, formatting, determining users' operating system, feature scaling, and more!
Author: James Balamuta [aut, cre, cph] (<https://orcid.org/0000-0003-2826-8458>)
Maintainer: James Balamuta <balamut2@illinois.edu>

Diff between jjb versions 0.1.0 dated 2018-10-14 and 0.1.1 dated 2020-01-08

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New package ipfr with initial version 1.0.1
Package: ipfr
Title: List Balancing for Reweighting and Population Synthesis
Version: 1.0.1
Authors@R: c( person( "Kyle", "Ward", email = "kyleward084@gmail.com", role = c("aut", "cre", "cph") ), person("Greg", "Macfarlane", email = "gregmacfarlane@byu.edu", role = c("ctb")))
Description: Performs iterative proportional updating given a seed table and an arbitrary number of marginal distributions. This is commonly used in population synthesis, survey raking, matrix rebalancing, and other applications. For example, a household survey may be weighted to match the known distribution of households by size from the census. An origin/ destination trip matrix might be balanced to match traffic counts. The approach used by this package is based on a paper from Arizona State University (Ye, Xin, et. al. (2009) <http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.537.723&rep=rep1&type=pdf>). Some enhancements have been made to their work including primary and secondary target balance/importance, general marginal agreement, and weight restriction.
License: Apache License (== 2.0)
URL: https://github.com/dkyleward/ipfr
BugReports: https://github.com/dkyleward/ipfr/issues
Depends: R (>= 3.2.0)
Imports: dplyr (>= 0.7.3), ggplot2 (>= 2.2.1), magrittr (>= 1.5), tidyr (>= 0.5.1), mlr (>= 2.11)
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 2.1.0), covr
VignetteBuilder: knitr
RoxygenNote: 7.0.2
NeedsCompilation: no
Packaged: 2020-01-07 15:06:26 UTC; kyle
Author: Kyle Ward [aut, cre, cph], Greg Macfarlane [ctb]
Maintainer: Kyle Ward <kyleward084@gmail.com>
Repository: CRAN
Date/Publication: 2020-01-08 16:30:08 UTC

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New package diversityForest with initial version 0.1.0
Package: diversityForest
Type: Package
Title: Diversity Forests
Version: 0.1.0
Date: 2020-01-07
Author: Roman Hornung [aut, cre], Marvin N. Wright [ctb, cph]
Maintainer: Roman Hornung <hornung@ibe.med.uni-muenchen.de>
Description: Implements diversity forests as described in an upcoming paper by the author of the package. This package is a fork of the R package 'ranger' (main author: Marvin N. Wright) that implements random forests using an efficient C++ implementation. More precisely, 'diversityForest' was written by modifying the code of 'ranger', version 0.11.0. Therefore, details on further functionalities of the code that are not presented in the help pages of 'diversityForest' are found in the help pages of 'ranger' (version 0.11.0). The code in the example sections of the 'diversityForest' manual can be used as a template for all basic application scenarios with respect to classification using univariate, binary splitting. Some function arguments adopted from the 'ranger' package are not be useable with diversity forests (for the current package version).
SystemRequirements: C++11
Encoding: UTF-8
License: GPL-3
Imports: Rcpp (>= 0.11.2), Matrix
LinkingTo: Rcpp, RcppEigen
Depends: R (>= 3.1)
Suggests: survival, testthat
RoxygenNote: 6.1.1
NeedsCompilation: yes
Packaged: 2020-01-07 08:43:34 UTC; hornung
Repository: CRAN
Date/Publication: 2020-01-08 16:20:09 UTC

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New package akc with initial version 0.9.0
Package: akc
Title: Automatic Knowledge Classification
Version: 0.9.0
Authors@R: person(given = "Tian-Yuan", family = "Huang", role = c("aut", "cre"), email = "huang.tian-yuan@qq.com", comment = c(ORCID = "0000-0002-3591-4203"))
Description: A tidy framework for automatic knowledge classification and visualization. Currently, the core functionality of the framework is mainly supported by modularity-based clustering (community detection) in keyword co-occurrence network, and focuses on co-word analysis of bibliometric research. However, the designed functions in 'akc' are general, and could be extended to solve other tasks in text mining as well.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.0.0)
Imports: igraph, dplyr, ggplot2, stringr, ggraph (>= 1.0.2), tidygraph (>= 1.1.2), ggforce, textstem, tibble, tidytext, widyr, rlang, magrittr, data.table (>= 1.12.6)
URL: https://github.com/hope-data-science/akc
RoxygenNote: 7.0.2
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-01-07 11:30:09 UTC; Hope
Author: Tian-Yuan Huang [aut, cre] (<https://orcid.org/0000-0002-3591-4203>)
Maintainer: Tian-Yuan Huang <huang.tian-yuan@qq.com>
Repository: CRAN
Date/Publication: 2020-01-08 16:30:11 UTC

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Package glmpathcr updated to version 1.0.8 with previous version 1.0.7 dated 2018-06-30

Title: Fit a Penalized Continuation Ratio Model for Predicting an Ordinal Response
Description: Provides a function for fitting a penalized constrained continuation ratio model using the glmpath algorithm and methods for extracting coefficient estimates, predicted class, class probabilities, and plots.
Author: Kellie J. Archer
Maintainer: Kellie J. Archer <archer.43@osu.edu>

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Package glmnetcr updated to version 1.0.5 with previous version 1.0.4 dated 2018-06-04

Title: Fit a Penalized Constrained Continuation Ratio Model for Predicting an Ordinal Response
Description: Penalized methods are useful for fitting over-parameterized models. This package includes functions for restructuring an ordinal response dataset for fitting continuation ratio models for datasets where the number of covariates exceeds the sample size or when there is collinearity among the covariates. The glmnet fitting algorithm is used to fit the continuation ratio model after data restructuring.
Author: Kellie J. Archer
Maintainer: Kellie J. Archer <archer.43@osu.edu>

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Package ggmsa updated to version 0.0.2 with previous version 0.0.1 dated 2019-10-07

Title: Plot Multiple Sequence Alignment using 'ggplot2'
Description: Supports visualizing multiple sequence alignment of DNA and protein sequences using 'ggplot2'. It supports a number of colour schemes, including Chemistry, Clustal, Shapely, Taylor and Zappo. Multiple sequence alignment can easily be combined with other 'ggplot2' plots, such as aligning a phylogenetic tree produced by 'ggtree' with multiple sequence alignment.
Author: Guangchuang Yu [aut, cre] (<https://orcid.org/0000-0002-6485-8781>), Lang Zhou [aut], Huina Huang [ctb]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package fitzRoy updated to version 0.3.0 with previous version 0.2.0 dated 2019-11-30

Title: Easily Scrape and Process AFL Data
Description: An easy package for scraping and processing Australia Rules Football (AFL) data. 'fitzRoy' provides a range of functions for accessing publicly available data from 'AFL Tables' <https://afltables.com>, 'Footy Wire' <https://www.footywire.com> and 'The Squiggle' <https://squiggle.com.au>. Further functions allow for easy processing, cleaning and transformation of this data into formats that can be used for analysis.
Author: James Day [cre, aut], Robert Nguyen [aut], Matthew Erbs [ctb], Oscar Lane [aut], Jason Zivkovic [ctb]
Maintainer: James Day <jamesthomasday@gmail.com>

Diff between fitzRoy versions 0.2.0 dated 2019-11-30 and 0.3.0 dated 2020-01-08

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Package crosswalkr updated to version 0.2.6 with previous version 0.2.5 dated 2019-10-23

Title: Rename and Encode Data Frames Using External Crosswalk Files
Description: A pair of functions for renaming and encoding data frames using external crosswalk files. It is especially useful when constructing master data sets from multiple smaller data sets that do not name or encode variables consistently across files. Based on similar commands in 'Stata'.
Author: Benjamin Skinner [aut, cre] (<https://orcid.org/0000-0002-0337-7415>)
Maintainer: Benjamin Skinner <btskinner@coe.ufl.edu>

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Package countgmifs updated to version 0.0.2 with previous version 0.0.1 dated 2018-07-10

Title: Discrete Response Regression for High-Dimensional Data
Description: Provides a function for fitting Poisson and negative binomial regression models when the number of parameters exceeds the sample size, using the the generalized monotone incremental forward stagewise method.
Author: Kellie Archer [aut, cre]
Maintainer: Kellie Archer <archer.43@osu.edu>

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Package compareDF updated to version 2.0.0 with previous version 1.8.0 dated 2019-06-02

Title: Do a Git Style Diff of the Rows Between Two Dataframes with Similar Structure
Description: Compares two dataframes which have the same column structure to show the rows that have changed. Also gives a git style diff format to quickly see what has changed in addition to summary statistics.
Author: Alex Joseph [aut, cre]
Maintainer: Alex Joseph <alexsanjoseph@gmail.com>

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Package cobalt updated to version 4.0.0 with previous version 3.9.0 dated 2019-10-06

Title: Covariate Balance Tables and Plots
Description: Generate balance tables and plots for covariates of groups preprocessed through matching, weighting or subclassification, for example, using propensity scores. Includes integration with 'MatchIt', 'twang', 'Matching', 'optmatch', 'CBPS', 'ebal', 'WeightIt', and 'designmatch' for assessing balance on the output of their preprocessing functions. Users can also specify data for balance assessment not generated through the above packages. Also included are methods for assessing balance in clustered or multiply imputed data sets or data sets with longitudinal treatments.
Author: Noah Greifer [aut, cre] (<https://orcid.org/0000-0003-3067-7154>)
Maintainer: Noah Greifer <noah.greifer@gmail.com>

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Package XGR updated to version 1.1.7 with previous version 1.1.6 dated 2019-07-12

Title: Exploring Genomic Relations for Enhanced Interpretation Through Enrichment, Similarity, Network and Annotation Analysis
Description: The central goal of XGR by Fang et al. (2016) <doi:10.1186/s13073-016-0384-y> is to provide a data interpretation system necessary to do "big data" science. It is designed to make a user-defined gene or SNP list (or genomic regions) more interpretable by comprehensively utilising ontology annotations and interaction networks to reveal relationships and enhance opportunities for biological discovery. XGR is unique in supporting a broad range of ontologies (including knowledge of biological and molecular functions, pathways, diseases and phenotypes - in both human and mouse) and different types of networks (including functional, physical and pathway interactions). There are two core functionalities of XGR. The first is to provide basic infrastructures for easy access to built-in ontologies and networks. The second is to support data interpretations via 1) enrichment analysis using either built-in or custom ontologies, 2) similarity analysis for calculating semantic similarity between genes (or SNPs) based on their ontology annotation profiles, 3) network analysis for identification of gene networks given a query list of (significant) genes, SNPs or genomic regions, and 4) annotation analysis for interpreting genomic regions using co-localised functional genomic annotations (such as open chromatin, epigenetic marks, TF binding sites and genomic segments) and using nearby gene annotations (by ontologies). Together with its web app, XGR aims to provide a user-friendly tool for exploring genomic relations at the gene, SNP and genomic region level.
Author: Hai Fang, Bogdan Knezevic, Katie L Burnham, Julian C Knight
Maintainer: Hai Fang <hfang@well.ox.ac.uk>

Diff between XGR versions 1.1.6 dated 2019-07-12 and 1.1.7 dated 2020-01-08

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 R/ClassMethod-XGR.r             |  130 +++++++++++
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More information about XGR at CRAN
Permanent link

Package StepReg updated to version 1.3.4 with previous version 1.3.3 dated 2019-11-25

Title: Stepwise Regression Analysis
Description: Stepwise regression analysis for variable selection can be used to get the best candidate final regression model with the forward selection, backward elimination and bidirectional elimination approaches. Best subset selection fit a separate least squares regression for each possible combination of all predictors. Both the above two procedures in this package can use weighted data to get best regression model in univariate regression and multivariate regression analysis(Alsubaihi, A. A., (2002) <doi:10.18637/jss.v007.i12>). Besides, continuous variables nested within class effect is also considered in both two procedures. A widely used selection criteria are available which includes Akaike information criterion(Darlington, R. B. (1968) <doi:10.1037/h0025471>, Judge, G. G. (1985) <doi:10.2307/1391738>), corrected Akaike information criterion(Hurvich, C. M., and Tsai, C. (1989) <doi:10.1093/biomet/76.2.297>), Bayesian information criterion(Sawa, T. (1978) <doi:10.2307/1913828>, Judge, G. G. (1985) <doi:10.2307/1391738>), Mallows Cp statistic(Mallows, C. L. (1973) <doi:10.1080/00401706.1995.10484370>, Hocking, R. R. (1976) <doi:10.2307/2529336>), Hannan and Quinn information criterion(Hannan, E. J. and Quinn, B. G. (1979) <doi:10.1111/j.2517-6161.1979.tb01072.x>, Mcquarrie, A. D. R. and Tsai, C. L. (1998) <doi:10.1142/3573>), corrected Hannan and Quinn information criterion(Mcquarrie, A. D. R. and Tsai, C. L. (1998) <doi:10.1142/3573>), Schwarz criterion(Schwarz, G. (1978) <doi:10.1214/aos/1176344136>, Judge, G. G. (1985) <doi:10.2307/1391738>), adjusted R-square statistic(Darlington, R. B. (1968) <doi:10.1037/h0025471>, Judge, G. G. (1985) <doi:10.2307/1391738>) and significance levels(Mckeon, J. J. (1974) <doi:10.1093/biomet/61.2.381>, Harold Hotelling. (1992) <doi:10.1007/978-1-4612-0919-5_4>, Pillai, K. C. S. (2006) <doi:10.1002/0471667196.ess1965.pub2>), where multicollinearity can be detected with checking tolerance value.
Author: Junhui Li,Xiaohuan Lu,Kun Cheng,Wenxin Liu
Maintainer: Junhui Li <junhuili@cau.edu.cn>

Diff between StepReg versions 1.3.3 dated 2019-11-25 and 1.3.4 dated 2020-01-08

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More information about StepReg at CRAN
Permanent link

Package MarkowitzR updated to version 1.0.2 with previous version 1.0.1 dated 2018-05-26

Title: Statistical Significance of the Markowitz Portfolio
Description: A collection of tools for analyzing significance of Markowitz portfolios.
Author: Steven E. Pav [aut, cre]
Maintainer: Steven E. Pav <shabbychef@gmail.com>

Diff between MarkowitzR versions 1.0.1 dated 2018-05-26 and 1.0.2 dated 2020-01-08

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More information about MarkowitzR at CRAN
Permanent link

Package isotree updated to version 0.1.8 with previous version 0.1.5 dated 2019-12-18

Title: Isolation-Based Outlier Detection
Description: Fast and multi-threaded implementation of isolation forest (Liu, Ting, Zhou (2008) <doi:10.1109/ICDM.2008.17>), extended isolation forest (Hariri, Kind, Brunner (2018) <arXiv:1811.02141>), SCiForest (Liu, Ting, Zhou (2010) <doi:10.1007/978-3-642-15883-4_18>), and fair-cut forest (Cortes (2019) <arXiv:1911.06646>), for isolation-based outlier detection, clustered outlier detection, distance or similarity approximation (Cortes (2019) <arXiv:1910.12362>), and imputation of missing values (Cortes (2019) <arXiv:1911.06646>), based on random or guided decision tree splitting. Provides simple heuristics for fitting the model to categorical columns and handling missing data, and offers options for varying between random and guided splits, and for using different splitting criteria.
Author: David Cortes
Maintainer: David Cortes <david.cortes.rivera@gmail.com>

Diff between isotree versions 0.1.5 dated 2019-12-18 and 0.1.8 dated 2020-01-08

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More information about isotree at CRAN
Permanent link

Package castor updated to version 1.5.4 with previous version 1.5.3 dated 2019-12-20

Title: Efficient Phylogenetics on Large Trees
Description: Efficient phylogenetic analyses on massive phylogenies comprising up to millions of tips. Functions include pruning, rerooting, calculation of most-recent common ancestors, calculating distances from the tree root and calculating pairwise distances. Calculation of phylogenetic signal and mean trait depth (trait conservatism), ancestral state reconstruction and hidden character prediction of discrete characters, simulating and fitting models of trait evolution, fitting and simulating diversification models, dating trees, comparing trees, and reading/writing trees in Newick format. Citation: Louca, Stilianos and Doebeli, Michael (2017) <doi:10.1093/bioinformatics/btx701>.
Author: Stilianos Louca
Maintainer: Stilianos Louca <louca@zoology.ubc.ca>

Diff between castor versions 1.5.3 dated 2019-12-20 and 1.5.4 dated 2020-01-08

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Package biogas updated to version 1.23.2 with previous version 1.10.3 dated 2018-05-16

Title: Process Biogas Data and Predict Biogas Production
Description: High- and low-level functions for processing biogas data and predicting biogas production. Molar mass and calculated oxygen demand (COD') can be determined from a chemical formula. Measured gas volume can be corrected for water vapor and to (possibly user-defined) standard temperature and pressure. Gas quantity can be converted between volume, mass, and moles. Gas composition, cumulative production, or other variables can be interpolated to a specified time. Cumulative biogas and methane production (and rates) can be calculated using volumetric, manometric, gravimetric, or gas density methods for any number of bottles. With cumulative methane production data and data on bottle contents, biochemical methane potential (BMP) can be calculated and summarized, including subtraction of the inoculum contribution and normalization by substrate mass. Cumulative production and production rates can be summarized in several different ways (e.g., omitting normalization) using the same function. Biogas quantity and composition can be predicted from substrate composition and additional, optional data. Lastly, inoculum and substrate mass can be determined for planning BMP experiments.
Author: Sasha D. Hafner [aut, cre], Charlotte Rennuit [aut], Camilla Justesen [aut], Nanna Lojborg [aut], Jacob Mortensen [aut], Sergi Astals [ctb], Konrad Koch [ctb], Soeren Weinrich [ctb], Jin Mi Triolo [ctb], Ali Heidarzadeh Vazifehkhoran [ctb]
Maintainer: Sasha D. Hafner <sasha.hafner@eng.au.dk>

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Package baggr updated to version 0.3.0 with previous version 0.2.0 dated 2019-10-29

Title: Bayesian Aggregate Treatment Effects
Description: Running and comparing meta-analyses of data with hierarchical Bayesian models in Stan, including convenience functions for formatting data, plotting and pooling measures specific to meta-analysis.
Author: Witold Wiecek [cre, aut], Rachael Meager [aut], Brice Green [ctb] (extra features for LOO CV and visuals), Trustees of Columbia University [cph] (tools/make_cc.R)
Maintainer: Witold Wiecek <witold.wiecek@gmail.com>

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Package anthro updated to version 0.9.2 with previous version 0.9.1 dated 2019-03-23

Title: Computation of the WHO Child Growth Standards
Description: Provides WHO Child Growth Standards (z-scores) with confidence intervals and standard errors around the prevalence estimates, taking into account complex sample designs. More information on the methods is available online: <http://www.who.int/childgrowth/standards/en/>.
Author: Dirk Schumacher [aut, cre], Elaine Borghi [ctb], Jonathan Polonsky [ctb]
Maintainer: Dirk Schumacher <mail@dirk-schumacher.net>

Diff between anthro versions 0.9.1 dated 2019-03-23 and 0.9.2 dated 2020-01-08

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Package bWGR updated to version 1.6.6 with previous version 1.6.5 dated 2019-06-05

Title: Bayesian Whole-Genome Regression
Description: Whole-genome regression methods on Bayesian framework fitted via EM or Gibbs sampling, univariate and multivariate, with optional kernel term and sampling techniques.
Author: Alencar Xavier, William Muir, Kyle Kocak, Shizhong Xu, Katy Rainey.
Maintainer: Alencar Xavier <alenxav@gmail.com>

Diff between bWGR versions 1.6.5 dated 2019-06-05 and 1.6.6 dated 2020-01-08

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Package arulesCBA updated to version 1.1.6 with previous version 1.1.5 dated 2019-11-12

Title: Classification Based on Association Rules
Description: Provides a function to build an association rule-based classifier for data frames, and to classify incoming data frames using such a classifier.
Author: Ian Johnson [aut, cre, cph], Michael Hahsler [aut, cph], Tyler Giallanza [ctb]
Maintainer: Ian Johnson <ianjjohnson@icloud.com>

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Package aliases2entrez updated to version 0.1.0 with previous version 0.0.6 dated 2019-10-06

Title: Converts Human gene symbols to entrez IDs
Description: Queries multiple resources authors HGNC (2019) <https://www.genenames.org>, authors limma (2015) <doi:10.1093/nar/gkv007> to find the correspondence between evolving nomenclature of human gene symbols, aliases, previous symbols or synonyms with stable, curated gene entrezID from NCBI database. This allows fast, accurate and up-to-date correspondence between human gene expression datasets from various date and platform (e.g: gene symbol: BRCA1 - ID: 672).
Author: Raphael Bonnet [aut, cre] (Université Côte d’Azur), Jean-François Peyron [aut] (Inserm)
Maintainer: Raphael Bonnet <raphael.bonnet@univ-cotedazur.fr>

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Package aLFQ updated to version 1.3.6 with previous version 1.3.5 dated 2019-04-30

Title: Estimating Absolute Protein Quantities from Label-Free LC-MS/MS Proteomics Data
Description: Determination of absolute protein quantities is necessary for multiple applications, such as mechanistic modeling of biological systems. Quantitative liquid chromatography tandem mass spectrometry (LC-MS/MS) proteomics can measure relative protein abundance on a system-wide scale. To estimate absolute quantitative information using these relative abundance measurements requires additional information such as heavy-labeled references of known concentration. Multiple methods have been using different references and strategies; some are easily available whereas others require more effort on the users end. Hence, we believe the field might benefit from making some of these methods available under an automated framework, which also facilitates validation of the chosen strategy. We have implemented the most commonly used absolute label-free protein abundance estimation methods for LC-MS/MS modes quantifying on either MS1-, MS2-levels or spectral counts together with validation algorithms to enable automated data analysis and error estimation. Specifically, we used Monte-carlo cross-validation and bootstrapping for model selection and imputation of proteome-wide absolute protein quantity estimation. Our open-source software is written in the statistical programming language R and validated and demonstrated on a synthetic sample.
Author: George Rosenberger, Hannes Roest, Christina Ludwig, Ruedi Aebersold, Lars Malmstroem
Maintainer: George Rosenberger <gr2578@cumc.columbia.edu>

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Package TableHC updated to version 0.1.2 with previous version 0.1.1 dated 2019-11-06

Title: Higher Criticism Test of Two Frequency Counts Tables
Description: Higher Criticism (HC) test between two frequency tables. Test is based on an adaptation of the Tukey-Donoho-Jin HC statistic to testing frequency tables described in Kipnis (2019) <arXiv:1911.01208>.
Author: Alon Kipnis <kipnisal@stanford.edu>
Maintainer: Alon Kipnis <kipnisal@stanford.edu>

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Package SequenceSpikeSlab updated to version 0.1.1 with previous version 0.1 dated 2019-12-13

Title: Exact Bayesian Model Selection Methods for the Sparse Normal Sequence Model
Description: Contains fast functions to calculate the exact Bayes posterior for the Sparse Normal Sequence Model, which implement the algorithms described in Van Erven and Szabo (2018) <arXiv:1810.10883>. For general hierarchical priors, sample sizes up to 10,000 are feasible within half an hour on a standard laptop. For beta-binomial spike-and-slab priors, a faster algorithm is provided, which can handle sample sizes of 100,000 in half an hour. In the implementation, special care has been taken to assure numerical stability of the methods even for such large sample sizes.
Author: Steven de Rooij [cre, aut], Tim van Erven [aut], Botond Szabo [aut]
Maintainer: Steven de Rooij <steven.de.rooij@gmail.com>

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Package RTDE updated to version 0.2-1 with previous version 0.2-0 dated 2015-07-20

Title: Robust Tail Dependence Estimation
Description: Robust tail dependence estimation for bivariate models. This package is based on two papers by the authors:'Robust and bias-corrected estimation of the coefficient of tail dependence' and 'Robust and bias-corrected estimation of probabilities of extreme failure sets'. This work was supported by a research grant (VKR023480) from VILLUM FONDEN and an international project for scientific cooperation (PICS-6416).
Author: Christophe Dutang [aut, cre], Armelle Guillou [ctb], Yuri Goegebeur [ctb]
Maintainer: Christophe Dutang <christophe.dutang@ensimag.fr>

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Package RblDataLicense updated to version 0.2.2 with previous version 0.2.1 dated 2019-09-07

Title: R Interface to 'Bloomberg Data License'
Description: R interface to access prices and market data with the 'Bloomberg Data License' service from <https://www.bloomberg.com/professional/product/data-license/>. As a prerequisite, a valid Data License from 'Bloomberg' is needed together with the corresponding SFTP credentials and whitelisting of the IP from which accessing the service. This software and its author are in no way affiliated, endorsed, or approved by 'Bloomberg' or any of its affiliates. 'Bloomberg' is a registered trademark.
Author: Emanuele Guidotti [aut, cre] (<https://orcid.org/0000-0002-8961-6623>)
Maintainer: Emanuele Guidotti <emanuele.guidotti@unine.ch>

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New package sbtools with initial version 1.1.9
Package: sbtools
Title: USGS ScienceBase Tools
Maintainer: David Blodgett <dblodgett@usgs.gov>
Version: 1.1.9
Authors@R: c(person("David", "Blodgett", role=c("cre"), email = "dblodgett@usgs.gov"), person("Tim", "Kern", role=c("aut"), email = "kernt@usgs.gov"), person("Luke", "Winslow", role = c("aut"), email = "lwinslow@usgs.gov"), person("Scott", "Chamberlain", role = c("aut"), email = "scott@ropensci.org"), person("Alison", "Appling", role = c("aut"), email = "aappling@usgs.gov"), person("Jordan", "Read", role = c("aut"), email = "jread@usgs.gov"))
Description: Tools for interacting with U.S. Geological Survey ScienceBase <https://www.sciencebase.gov> interfaces. ScienceBase is a data cataloging and collaborative data management platform. Functions included for querying ScienceBase, and creating and fetching datasets.
Imports: jsonlite, curl, httr (>= 1.0.0), stringr, methods
Suggests: testthat, xml2, sf, sp
License: CC0
URL: https://github.com/USGS-R/sbtools
BugReports: https://github.com/USGS-R/sbtools/issues
RoxygenNote: 6.1.1
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2020-01-07 14:28:34 UTC; dblodgett
Author: David Blodgett [cre], Tim Kern [aut], Luke Winslow [aut], Scott Chamberlain [aut], Alison Appling [aut], Jordan Read [aut]
Repository: CRAN
Date/Publication: 2020-01-08 09:10:03 UTC

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Package pdSpecEst updated to version 1.2.4 with previous version 1.2.3 dated 2018-10-06

Title: An Analysis Toolbox for Hermitian Positive Definite Matrices
Description: An implementation of data analysis tools for samples of symmetric or Hermitian positive definite matrices, such as collections of covariance matrices or spectral density matrices. The tools in this package can be used to perform: (i) intrinsic wavelet transforms for curves (1D) or surfaces (2D) of Hermitian positive definite matrices with applications to dimension reduction, denoising and clustering in the space of Hermitian positive definite matrices; and (ii) exploratory data analysis and inference for samples of positive definite matrices by means of intrinsic data depth functions and rank-based hypothesis tests in the space of Hermitian positive definite matrices.
Author: Joris Chau [aut, cre]
Maintainer: Joris Chau <joris.chau@openanalytics.eu>

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Package OwenQ updated to version 1.0.3 with previous version 1.0.1 dated 2019-08-30

Title: Owen Q-Function
Description: Evaluates the Owen Q-function for an integer value of the degrees of freedom, by applying Owen's algorithm (1965) <doi:10.1093/biomet/52.3-4.437>. It is useful for the calculation of the power of equivalence tests.
Author: Stéphane Laurent
Maintainer: Stéphane Laurent <laurent_step@outlook.fr>

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Package NNS updated to version 0.4.8 with previous version 0.4.7.1 dated 2019-11-20

Title: Nonlinear Nonparametric Statistics
Description: Nonlinear nonparametric statistics using partial moments. Partial moments are the elements of variance and asymptotically approximate the area of f(x). These robust statistics provide the basis for nonlinear analysis while retaining linear equivalences. NNS offers: Numerical integration, Numerical differentiation, Clustering, Correlation, Dependence, Causal analysis, ANOVA, Regression, Classification, Seasonality, Autoregressive modeling, Normalization and Stochastic dominance. All routines based on: Viole, F. and Nawrocki, D. (2013), Nonlinear Nonparametric Statistics: Using Partial Moments (ISBN: 1490523995).
Author: Fred Viole
Maintainer: Fred Viole <ovvo.financial.systems@gmail.com>

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Package MplusTrees updated to version 0.1.1 with previous version 0.0.1 dated 2019-07-19

Title: Decision Trees with Structural Equation Models Fit in 'Mplus'
Description: Uses recursive partitioning to create homogeneous subgroups based on structural equation models fit in 'Mplus', a stand-alone program developed by Muthen and Muthen.
Author: Sarfaraz Serang [aut,cre], Ross Jacobucci [aut,cre], Kevin J. Grimm [ctb], Gabriela Stegmann [ctb], Andreas M. Brandmaier [ctb]
Maintainer: Sarfaraz Serang <sarfaraz.serang@usu.edu>

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Package mlr3proba updated to version 0.1.1 with previous version 0.1.0 dated 2019-12-22

Title: Probabilistic Supervised Learning for 'mlr3'
Description: Provides extensions for probabilistic supervised learning for 'mlr3'. This includes extending the regression task to probabilistic and interval regression, adding a survival task, and other specialized models, predictions, and measures.
Author: Raphael Sonabend [aut, cre] (<https://orcid.org/0000-0001-9225-4654>), Franz Kiraly [aut], Michel Lang [aut] (<https://orcid.org/0000-0001-9754-0393>), Andreas Bender [ctb] (<https://orcid.org/0000-0001-5628-8611>)
Maintainer: Raphael Sonabend <raphael.sonabend.15@ucl.ac.uk>

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Package MKinfer updated to version 0.4 with previous version 0.3 dated 2019-12-02

Title: Inferential Statistics
Description: Computation of various confidence intervals (Altman et al. (2000), ISBN:978-0-727-91375-3; Hedderich and Sachs (2018), ISBN:978-3-662-56657-2) including bootstrapped versions (Davison and Hinkley (1997), ISBN:978-0-511-80284-3) as well as Hsu (Hedderich and Sachs (2018), ISBN:978-3-662-56657-2), permutation (Janssen (1997), <doi:10.1016/S0167-7152(97)00043-6>), bootstrap (Davison and Hinkley (1997), ISBN:978-0-511-80284-3) and multiple imputation (Barnard and Rubin (1999), <doi:10.1093/biomet/86.4.948>) t-test. Graphical visualization by volcano plots.
Author: Matthias Kohl [aut, cre] (<https://orcid.org/0000-0001-9514-8910>)
Maintainer: Matthias Kohl <Matthias.Kohl@stamats.de>

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Package MFPCA updated to version 1.3-4 with previous version 1.3-2 dated 2019-03-20

Title: Multivariate Functional Principal Component Analysis for Data Observed on Different Dimensional Domains
Description: Calculate a multivariate functional principal component analysis for data observed on different dimensional domains. The estimation algorithm relies on univariate basis expansions for each element of the multivariate functional data (Happ & Greven, 2018) <doi:10.1080/01621459.2016.1273115>. Multivariate and univariate functional data objects are represented by S4 classes for this type of data implemented in the package 'funData'. For more details on the general concepts of both packages and a case study, see Happ (2018) <arXiv:1707.02129>.
Author: Clara Happ-Kurz [aut, cre] (<https://orcid.org/0000-0003-4737-3835>)
Maintainer: Clara Happ-Kurz <clara.happ@stat.uni-muenchen.de>

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Package Mercator updated to version 0.9.6 with previous version 0.9.5 dated 2019-08-29

Title: Clustering and Visualizing Distance Matrices
Description: Defines the classes used to explore, cluster and visualize distance matrices, especially those arising from binary data.
Author: Kevin R. Coombes, Caitlin E. Coombes
Maintainer: Kevin R. Coombes <krc@silicovore.com>

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Package evclust updated to version 1.1.0 with previous version 1.0.3 dated 2016-09-04

Title: Evidential Clustering
Description: Various clustering algorithms that produce a credal partition, i.e., a set of Dempster-Shafer mass functions representing the membership of objects to clusters. The mass functions quantify the cluster-membership uncertainty of the objects. The algorithms are: Evidential c-Means (ECM), Relational Evidential c-Means (RECM), Constrained Evidential c-Means (CECM), EVCLUS, EK-NNclus and bootclus.
Author: Thierry Denoeux
Maintainer: Thierry Denoeux <tdenoeux@utc.fr>

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New package qgg with initial version 1.0.2
Package: qgg
Type: Package
Title: Statistical Tools for Quantitative Genetic Analyses
Version: 1.0.2
Date: 2020-01-06
Authors@R: c(person("Peter", "Soerensen", email = "peter.sorensen@r-qgg.org", role = c("aut", "cre")), person("Palle", "Duun Rohde", email = "palle.d.rohde@mbg.au.dk", role = "aut"), person("Izel", "Fourie Soerensen", email = "izel.sorensen@gmail.com", role = "aut"))
Maintainer: Peter Soerensen <peter.sorensen@r-qgg.org>
Description: Provides an infrastructure for efficient processing of large-scale genetic and phenotypic data including core functions for: 1) fitting linear mixed models, 2) constructing marker-based genomic relationship matrices, 3) estimating genetic parameters (heritability and correlation), 4) performing genomic prediction and genetic risk profiling, and 5) single or multi-marker association analyses. Rohde et al. (2019) <doi:10.1101/503631>.
License: GPL-3
Encoding: UTF-8
Imports: data.table, parallel, statmod, stats, MCMCpack, MASS
RoxygenNote: 6.1.1
URL: https://github.com/psoerensen/qgg
BugReports: https://github.com/psoerensen/qgg/issues
NeedsCompilation: yes
Packaged: 2020-01-07 07:45:10 UTC; Peter
Author: Peter Soerensen [aut, cre], Palle Duun Rohde [aut], Izel Fourie Soerensen [aut]
Repository: CRAN
Date/Publication: 2020-01-08 09:00:03 UTC

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Package graphTweets updated to version 0.5.3 with previous version 0.5.2 dated 2019-07-10

Title: Visualise Twitter Interactions
Description: Allows building an edge table from data frame of tweets, also provides function to build nodes and another create a temporal graph.
Author: John Coene [aut, cre]
Maintainer: John Coene <jcoenep@gmail.com>

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Package GNE updated to version 0.99-3 with previous version 0.99-2 dated 2018-08-09

Title: Computation of Generalized Nash Equilibria
Description: Provide functions to compute standard and generalized Nash Equilibria. Optimization methods are available nonsmooth reformulation, fixed-point formulation, minimization problem and constrained-equation reformulation. See e.g. Kanzow and Facchinei (2010), <doi:10.1007/s10479-009-0653-x>.
Author: Christophe Dutang
Maintainer: Christophe Dutang <christophe.dutang@ensimag.fr>

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Package EstimateGroupNetwork updated to version 0.2.2 with previous version 0.1.2 dated 2017-03-20

Title: Perform the Joint Graphical Lasso and Selects Tuning Parameters
Description: Can be used to simultaneously estimate networks (Gaussian Graphical Models) in data from different groups or classes via Joint Graphical Lasso. Tuning parameters are selected via information criteria (AIC / BIC / extended BIC) or cross validation.
Author: Giulio Costantini, Nils Kappelmann, Sacha Epskamp
Maintainer: Giulio Costantini <giulio.costantini@unimib.it>

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Package DTSg updated to version 0.3.0 with previous version 0.2.1 dated 2019-10-20

Title: A Class for Working with Time Series Based on 'data.table' and 'R6' with Largely Optional Reference Semantics
Description: Basic time series functionalities such as listing of missing values, application of arbitrary aggregation as well as rolling window functions and automatic detection of periodicity. As it is mainly based on 'data.table', it is fast and - in combination with the 'R6' package - offers reference semantics. In addition to its native R6 interface, it provides an S3 interface inclusive an S3 wrapper method generator for those who prefer the latter.
Author: Gerold Hepp [aut, cre]
Maintainer: Gerold Hepp <ghepp@iwag.tuwien.ac.at>

Diff between DTSg versions 0.2.1 dated 2019-10-20 and 0.3.0 dated 2020-01-08

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Package drake updated to version 7.9.0 with previous version 7.8.0 dated 2019-12-02

Title: A Pipeline Toolkit for Reproducible Computation at Scale
Description: A general-purpose computational engine for data analysis, drake rebuilds intermediate data objects when their dependencies change, and it skips work when the results are already up to date. Not every execution starts from scratch, there is native support for parallel and distributed computing, and completed projects have tangible evidence that they are reproducible. Extensive documentation, from beginner-friendly tutorials to practical examples and more, is available at the reference website <https://docs.ropensci.org/drake/> and the online manual <https://books.ropensci.org/drake/>.
Author: William Michael Landau [aut, cre] (<https://orcid.org/0000-0003-1878-3253>), Alex Axthelm [ctb], Jasper Clarkberg [ctb], Kirill Müller [ctb], Ben Bond-Lamberty [ctb] (<https://orcid.org/0000-0001-9525-4633>), Tristan Mahr [ctb] (<https://orcid.org/0000-0002-8890-5116>), Miles McBain [ctb] (<https://orcid.org/0000-0003-2865-2548>), Noam Ross [ctb] (<https://orcid.org/0000-0002-2136-0000>), Ellis Hughes [ctb], Matthew Mark Strasiotto [ctb], Ben Marwick [rev], Peter Slaughter [rev], Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau@gmail.com>

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Package DPWeibull updated to version 1.5 with previous version 1.4 dated 2019-11-14

Title: Dirichlet Process Weibull Mixture Model for Survival Data
Description: Use Dirichlet process Weibull mixture model and dependent Dirichlet process Weibull mixture model for survival data with and without competing risks. Dirichlet process Weibull mixture model is used for data without covariates and dependent Dirichlet process model is used for regression data. The package is designed to handle exact/right-censored/ interval-censored observations without competing risks and exact/right-censored observations for data with competing risks. Inside each cluster of Dirichlet process, we assume a multiplicative effect of covariates as in Cox model and Fine and Gray model. For wrapper of the DPdensity function from the R package DPpackage (already archived by CRAN) that uses the Low Information Omnibus prior, please check (<https://github.com/mjmartens/DPdensity-wrapper-with-LIO-prior>).
Author: Yushu Shi
Maintainer: Yushu Shi <shiyushu2006@gmail.com>

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Permanent link

Package DataSpaceR updated to version 0.7.3 with previous version 0.7.2 dated 2019-08-21

Title: Interface to 'the CAVD DataSpace'
Description: Provides a convenient API interface to access immunological data within 'the CAVD DataSpace'(<https://dataspace.cavd.org>), a data sharing and discovery tool that facilitates exploration of HIV immunological data from pre-clinical and clinical HIV vaccine studies.
Author: Ju Yeong Kim [aut, cre, cph], Sean Hughes [rev] (Sean reviewed the package for ropensci, see <https://github.com/ropensci/software-review/issues/261>), Jason Taylor [aut], Helen Miller [aut]
Maintainer: Ju Yeong Kim <jkim2345@fredhutch.org>

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Package schrute updated to version 0.1.1 with previous version 0.1.0 dated 2019-12-15

Title: The Entire Transcript from the Office in Tidy Format
Description: The complete scripts from the American version of the Office television show in tibble format. Use this package to analyze and have fun with text from the best series of all time.
Author: Brad Lindblad [aut, cre], Lucas Graybuck [ctb]
Maintainer: Brad Lindblad <bradley.lindblad@gmail.com>

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Package Copula.Markov updated to version 2.6 with previous version 2.5 dated 2019-11-29

Title: Copula-Based Estimation and Statistical Process Control for Serially Correlated Time Series
Description: Estimation and statistical process control are performed under copula-based time-series models. Available are statistical methods in Long and Emura (2014 JCSA), Emura et al. (2017 Commun Stat-Simul) <DOI:10.1080/03610918.2015.1073303>, Huang and Emura (2019 Commun Stat-Simul) <DOI:10.1080/03610918.2019.1602647> and Huang, Chen and Emura (2019-, in revision).
Author: Takeshi Emura, Xinwei Huang, Weiru Chen, Ting-Hsuan Long
Maintainer: Takeshi Emura <takeshiemura@gmail.com>

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Package samc updated to version 1.0.4 with previous version 1.0.3 dated 2019-08-21

Title: Spatial Absorbing Markov Chains
Description: An implementation of the framework described in "Toward a unified framework for connectivity that disentangles movement and mortality in space and time" by Fletcher et al. (2019) <doi:10.1111/ele.13333>. Incorporates both resistance and absorption with spatial absorbing Markov chains (SAMC) to provide several short-term and long-term predictions for metrics related to connectivity in landscapes.
Author: Andrew Marx [aut, cre, cph] (<https://orcid.org/0000-0002-7456-1631>), Robert Fletcher [ctb] (<https://orcid.org/0000-0003-1717-5707>), Miguel Acevedo [ctb] (<https://orcid.org/0000-0002-8289-1497>), Jorge Sefair [ctb] (<https://orcid.org/0000-0002-5887-8938>), Chao Wang [ctb] (<https://orcid.org/0000-0003-2706-5122>)
Maintainer: Andrew Marx <andrewjmarx@ufl.edu>

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Package rwalkr updated to version 0.5.1 with previous version 0.5.0 dated 2019-11-18

Title: API to Melbourne Pedestrian Data
Description: Provides API to Melbourne pedestrian data in tidy data form.
Author: Earo Wang [aut, cre] (<https://orcid.org/0000-0001-6448-5260>)
Maintainer: Earo Wang <earo.wang@gmail.com>

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Package prioGene updated to version 1.0.0 with previous version 0.99.0 dated 2019-08-30

Title: Candidate Gene Prioritization for Non-Communicable Diseases Based on Functional Information
Description: In gene sequencing methods, the topological features of protein-protein interaction (PPI) networks are often used, such as ToppNet <https://toppgene.cchmc.org>. In this study, a candidate gene prioritization method was proposed for non-communicable diseases considering disease risks transferred between genes in weighted disease PPI networks with weights for nodes and edges based on functional information.
Author: Erqiang Hu [aut, cre]
Maintainer: Erqiang Hu <13766876214@163.com>

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Package nse2r updated to version 0.1.1 with previous version 0.1.0 dated 2019-12-16

Title: Fetch Data from 'National Stock Exchange (India)'
Description: Fetch data related to stocks, index, futures & options from the 'NSE (National Stock Exchange, India)'. This package is community maintained and is not officially supported by 'NSE'. The accuracy of data is only as correct as provided on <https://www.nseindia.com>.
Author: Lokesh Kumar [aut], Aravind Hebbali [aut, cre], Lionel Pinto [ctb]
Maintainer: Aravind Hebbali <hebbali.aravind@gmail.com>

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Package noctua updated to version 1.5.0 with previous version 1.4.0 dated 2019-12-19

Title: Connect to 'AWS Athena' using R 'AWS SDK' 'paws' ('DBI' Interface)
Description: Designed to be compatible with the 'R' package 'DBI' (Database Interface) when connecting to Amazon Web Service ('AWS') Athena <https://aws.amazon.com/athena/>. To do this the 'R' 'AWS' Software Development Kit ('SDK') 'paws' <https://github.com/paws-r/paws> is used as a driver.
Author: Dyfan Jones [aut, cre]
Maintainer: Dyfan Jones <dyfan.r.jones@gmail.com>

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