Thu, 02 Apr 2020

Package PINSPlus updated to version 2.0.1 with previous version 2.0.0 dated 2019-06-04

Title: Clustering Algorithm for Data Integration and Disease Subtyping
Description: Provides a robust approach for omics data integration and disease subtyping. 'PINSPlus' supports both single and multiple data types. The software automatically determines the optimal number of clusters and then partitions the samples in a way such that the results are robust to noise and data perturbation (Hung Nguyen (2018) <doi:10.1093/bioinformatics/bty1049>, Tin Nguyen (2017) <doi:10.1101/gr.215129.116>). 'PINSPlus' is fast and it supports parallel computing on Windows, Linux, and Mac OS.
Author: Bang Tran, Duc Tran, Hung Nguyen and Tin Nguyen
Maintainer: Hung Nguyen <hungnp@nevada.unr.edu>

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Package bamboo updated to version 0.9.25 with previous version 0.9.24 dated 2019-06-24

Title: Protein Secondary Structure Prediction Using the Bamboo Method
Description: Implementation of the Bamboo methods described in Li, Dahl, Vannucci, Joo, and Tsai (2014) <DOI:10.1371/journal.pone.0109832>.
Author: David B. Dahl [aut, cre]
Maintainer: David B. Dahl <dahl@stat.byu.edu>

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Package rubias updated to version 0.3.1 with previous version 0.3.0 dated 2019-06-10

Title: Bayesian Inference from the Conditional Genetic Stock Identification Model
Description: Implements Bayesian inference for the conditional genetic stock identification model. It allows inference of mixed fisheries and also simulation of mixtures to predict accuracy. A full description of the underlying methods is available in a recently published article in the Canadian Journal of Fisheries and Aquatic Sciences: <doi.org/10.1139/cjfas-2018-0016>.
Author: Eric C. Anderson [aut, cre], Ben Moran [aut]
Maintainer: Eric C. Anderson <eric.anderson@noaa.gov>

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Package reticulate updated to version 1.15 with previous version 1.14 dated 2019-12-17

Title: Interface to 'Python'
Description: Interface to 'Python' modules, classes, and functions. When calling into 'Python', R data types are automatically converted to their equivalent 'Python' types. When values are returned from 'Python' to R they are converted back to R types. Compatible with all versions of 'Python' >= 2.7.
Author: Kevin Ushey [aut, cre], JJ Allaire [aut], RStudio [cph, fnd], Yuan Tang [aut, cph] (<https://orcid.org/0000-0001-5243-233X>), Dirk Eddelbuettel [ctb, cph], Bryan Lewis [ctb, cph], Sigrid Keydana [ctb], Ryan Hafen [ctb, cph], Marcus Geelnard [ctb, cph] (TinyThread library, http://tinythreadpp.bitsnbites.eu/)
Maintainer: Kevin Ushey <kevin@rstudio.com>

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Package PK updated to version 1.3-5 with previous version 1.3-4 dated 2018-02-26

Title: Basic Non-Compartmental Pharmacokinetics
Description: Estimation of pharmacokinetic parameters using non-compartmental theory.
Author: Thomas Jaki <jaki.thomas@gmail.com> and Martin J. Wolfsegger <wolfseggerm@gmx.at>
Maintainer: Thomas Jaki <jaki.thomas@gmail.com>

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Package matlib updated to version 0.9.3 with previous version 0.9.2 dated 2019-05-29

Title: Matrix Functions for Teaching and Learning Linear Algebra and Multivariate Statistics
Description: A collection of matrix functions for teaching and learning matrix linear algebra as used in multivariate statistical methods. These functions are mainly for tutorial purposes in learning matrix algebra ideas using R. In some cases, functions are provided for concepts available elsewhere in R, but where the function call or name is not obvious. In other cases, functions are provided to show or demonstrate an algorithm. In addition, a collection of functions are provided for drawing vector diagrams in 2D and 3D.
Author: Michael Friendly [aut, cre] (<https://orcid.org/0000-0002-3237-0941>), John Fox [aut], Phil Chalmers [aut], Georges Monette [ctb], Gaston Sanchez [ctb]
Maintainer: Michael Friendly <friendly@yorku.ca>

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Package R2OpenBUGS updated to version 3.2-3.2.1 with previous version 3.2-3.2 dated 2017-02-22

Title: Running OpenBUGS from R
Description: Using this package, it is possible to call a BUGS model, summarize inferences and convergence in a table and graph, and save the simulations in arrays for easy access in R.
Author: originally written as R2WinBUGS by Andrew Gelman <gelman@stat.columbia.edu>; changes and packaged by Sibylle Sturtz <sturtz@statistik.tu-dortmund.de> and Uwe Ligges <ligges@statistik.tu-dortmund.de>. With considerable contributions by Gregor Gorjanc <gregor.gorjanc@bfro.uni-lj.si> and Jouni Kerman <kerman@stat.columbia.edu>. Adapted to R2OpenBUGS from R2WinBUGS by Neal Thomas.
Maintainer: Neal Thomas <snthomas99@gmail.com>

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Package oceanis updated to version 1.0.7 with previous version 1.0.6 dated 2019-12-19

Title: Cartography for Statistical Analysis
Description: Creating maps for statistical analysis such as proportional circles, chroropleth, typology and flows. Some functions use 'shiny' or 'leaflet' technologies for dynamism and interactivity. The great features are : - Create maps in a web environment where the parameters are modifiable on the fly ('shiny' and 'leaflet' technology). - Create interactive maps through zoom and pop-up ('leaflet' technology). - Create frozen maps with the possibility to add labels.
Author: Sébastien CALVET - PSAR-AT - DR Provence-Alpes-Cote d'Azur - INSEE [cre, aut], Sophie AUDRIC - PSAR-AT - DR Provence-Alpes-Cote d'Azur - INSEE [aut], SED - DR Hauts-de-France - INSEE [ctb], PSAR-SL - DR Auvergne-Rhone-Alpes - INSEE [ctb], PSAR-EEP - DR Occitanie - INSEE [ctb], SED - DR Pays-de-la-Loire - INSEE [ctb]
Maintainer: Sébastien CALVET <sebastien.calvet@insee.fr>

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Package mwa updated to version 0.4.2 with previous version 0.4.1 dated 2015-02-24

Title: Causal Inference in Spatiotemporal Event Data
Description: Matched Wake Analysis (mwa) grants insights into causal relationships in spatiotemporal event data.
Author: Sebastian Schutte and Karsten Donnay
Maintainer: Sebastian Schutte <schuttesebastian@gmail.com>

Diff between mwa versions 0.4.1 dated 2015-02-24 and 0.4.2 dated 2020-04-02

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Package macleish updated to version 0.3.5 with previous version 0.3.4 dated 2019-05-20

Title: Retrieve Data from MacLeish Field Station
Description: Download data from the Ada and Archibald MacLeish Field Station in Whately, MA. The Ada and Archibald MacLeish Field Station is a 260-acre patchwork of forest and farmland located in West Whately, MA that provides opportunities for faculty and students to pursue environmental research, outdoor education, and low-impact recreation (see <http://www.smith.edu/ceeds/macleish.php> for more information). This package contains weather data over several years, and spatial data on various man-made and natural structures.
Author: Benjamin S. Baumer [aut, cre], Rose Goueth [aut], Wencong Li [aut], Weijia Zhang [aut], Nicholas Horton [aut]
Maintainer: Benjamin S. Baumer <ben.baumer@gmail.com>

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Package ggstance updated to version 0.3.4 with previous version 0.3.3 dated 2019-08-19

Title: Horizontal 'ggplot2' Components
Description: A 'ggplot2' extension that provides flipped components: horizontal versions of 'Stats' and 'Geoms', and vertical versions of 'Positions'.
Author: Lionel Henry [aut, cre], Hadley Wickham [aut], Winston Chang [aut], RStudio [cph]
Maintainer: Lionel Henry <lionel@rstudio.com>

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Package gamboostLSS updated to version 2.0-1.1 with previous version 2.0-1 dated 2018-06-15

Title: Boosting Methods for 'GAMLSS'
Description: Boosting models for fitting generalized additive models for location, shape and scale ('GAMLSS') to potentially high dimensional data.
Author: Benjamin Hofner [aut, cre] (<https://orcid.org/0000-0003-2810-3186>), Andreas Mayr [aut], Nora Fenske [aut], Janek Thomas [aut], Matthias Schmid [aut]
Maintainer: Benjamin Hofner <benjamin.hofner@pei.de>

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Package cartography updated to version 2.4.0 with previous version 2.3.0 dated 2020-01-28

Title: Thematic Cartography
Description: Create and integrate maps in your R workflow. This package helps to design cartographic representations such as proportional symbols, choropleth, typology, flows or discontinuities maps. It also offers several features that improve the graphic presentation of maps, for instance, map palettes, layout elements (scale, north arrow, title...), labels or legends. See Giraud and Lambert (2017) <doi:10.1007/978-3-319-57336-6_13>.
Author: Timothée Giraud [cre, aut] (<https://orcid.org/0000-0002-1932-3323>), Nicolas Lambert [aut], Diego Hernangómez [ctb], Ian Fellows [cph] (no overlap algorithm for labels, from wordcloud package)
Maintainer: Timothée Giraud <timothee.giraud@cnrs.fr>

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New package bartCause with initial version 1.0-2
Package: bartCause
Version: 1.0-2
Date: 2020-03-31
Title: Causal Inference using Bayesian Additive Regression Trees
Authors@R: c( person("Vincent", "Dorie", role = c("aut", "cre"), email = "vdorie@gmail.com", comment = c(ORCID = "0000-0002-9576-3064")), person("Jennifer", "Hill", role = "aut", email = "jennifer.hill@nyu.edu", comment = c(ORCID = "0000-0003-4983-2206")))
Depends: R (>= 3.1-0)
Imports: dbarts (>= 0.9-16), methods, stats, graphics, parallel, utils, grDevices
Suggests: testthat (>= 0.9-0), lme4, rpart, tmle
Description: Contains a variety of methods to generate typical causal inference estimates using Bayesian Additive Regression Trees (BART) as the underlying regression model (Hill (2012) <doi:10.1198/jcgs.2010.08162>).
License: GPL (>= 2)
NeedsCompilation: no
URL: https://github.com/vdorie/bartCause
BugReports: https://github.com/vdorie/bartCause/issues
Packaged: 2020-03-31 23:29:43 UTC; vdorie
Author: Vincent Dorie [aut, cre] (<https://orcid.org/0000-0002-9576-3064>), Jennifer Hill [aut] (<https://orcid.org/0000-0003-4983-2206>)
Maintainer: Vincent Dorie <vdorie@gmail.com>
Repository: CRAN
Date/Publication: 2020-04-02 16:20:05 UTC

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Package vcd updated to version 1.4-7 with previous version 1.4-6 dated 2020-03-08

Title: Visualizing Categorical Data
Description: Visualization techniques, data sets, summary and inference procedures aimed particularly at categorical data. Special emphasis is given to highly extensible grid graphics. The package was package was originally inspired by the book "Visualizing Categorical Data" by Michael Friendly and is now the main support package for a new book, "Discrete Data Analysis with R" by Michael Friendly and David Meyer (2015).
Author: David Meyer [aut, cre], Achim Zeileis [aut] (<https://orcid.org/0000-0003-0918-3766>), Kurt Hornik [aut], Florian Gerber [ctb], Michael Friendly [ctb]
Maintainer: David Meyer <David.Meyer@R-project.org>

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New package resourcer with initial version 1.0.0
Package: resourcer
Type: Package
Title: Resource Resolver
Version: 1.0.0
Authors@R: c(person(given = "Yannick", family = "Marcon", role = c("aut", "cre"), email = "yannick.marcon@obiba.org", comment = c(ORCID = "0000-0003-0138-2023")), person("OBiBa group", role="cph", email="info@obiba.org"))
Description: A resource represents some data or a computation unit. It is described by a URL and credentials. This package proposes a Resource model with "resolver" and "client" classes to facilitate the access and the usage of the resources.
License: LGPL (>= 2.1)
LazyData: true
Depends: R6, httr
Suggests: testthat, knitr, haven, readr, readxl, ssh, sys, mongolite, dplyr, dbplyr, DBI, RMariaDB, RPostgres, sparklyr, RPresto, nodbi, rmarkdown
BugReports: https://github.com/obiba/resourcer
RoxygenNote: 7.0.2
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2020-03-31 19:59:57 UTC; yannick
Author: Yannick Marcon [aut, cre] (<https://orcid.org/0000-0003-0138-2023>), OBiBa group [cph]
Maintainer: Yannick Marcon <yannick.marcon@obiba.org>
Repository: CRAN
Date/Publication: 2020-04-02 15:50:02 UTC

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Package sensiPhy updated to version 0.8.5 with previous version 0.8.4 dated 2019-12-10

Title: Sensitivity Analysis for Comparative Methods
Description: An implementation of sensitivity analysis for phylogenetic comparative methods. The package is an umbrella of statistical and graphical methods that estimate and report different types of uncertainty in PCM: (i) Species Sampling uncertainty (sample size; influential species and clades). (ii) Phylogenetic uncertainty (different topologies and/or branch lengths). (iii) Data uncertainty (intraspecific variation and measurement error).
Author: Gustavo Paterno [cre, aut], Gijsbert Werner [aut], Caterina Penone [aut], Pablo Martinez [ctb]
Maintainer: Gustavo Paterno <paternogbc@gmail.com>

Diff between sensiPhy versions 0.8.4 dated 2019-12-10 and 0.8.5 dated 2020-04-02

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Package photobiologyInOut updated to version 0.4.22 with previous version 0.4.21-1 dated 2020-01-11

Title: Read Spectral and Logged Data from Foreign Files
Description: Functions for reading, and in some cases writing, foreign files containing spectral data from spectrometers and their associated software, output from daylight simulation models in common use, and some spectral data repositories. As well as functions for exchange of spectral data with other R packages. Part of the 'r4photobiology' suite, Aphalo P. J. (2015) <doi:10.19232/uv4pb.2015.1.14>.
Author: Pedro J. Aphalo [aut, cre] (<https://orcid.org/0000-0003-3385-972X>), Titta K. Kotilainen [ctb] (<https://orcid.org/0000-0002-2822-9734>), Glenn Davis [ctb]
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>

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Package meltt updated to version 0.4.1 with previous version 0.4.0 dated 2018-04-15

Title: Matching Event Data by Location, Time and Type
Description: Framework for merging and disambiguating event data based on spatiotemporal co-occurrence and secondary event characteristics. It can account for intrinsic "fuzziness" in the coding of events, varying event taxonomies and different geo-precision codes.
Author: Karsten Donnay and Eric Dunford
Maintainer: Karsten Donnay <kdonnay@gmx.net>

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Package diagmeta updated to version 0.4-0 with previous version 0.3-1 dated 2019-04-11

Title: Meta-Analysis of Diagnostic Accuracy Studies with Several Cutpoints
Description: Provides methods by Steinhauser et al. (2016) <DOI:10.1186/s12874-016-0196-1> for meta-analysis of diagnostic accuracy studies with several cutpoints.
Author: Gerta Rücker [aut] (<https://orcid.org/0000-0002-2192-2560>), Susanne Steinhauser [aut], Srinath Kolampally [aut], Guido Schwarzer [aut, cre] (<https://orcid.org/0000-0001-6214-9087>)
Maintainer: Guido Schwarzer <sc@imbi.uni-freiburg.de>

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Package dexter updated to version 1.0.7 with previous version 1.0.6 dated 2020-03-12

Title: Data Management and Analysis of Tests
Description: A system for the management, assessment, and psychometric analysis of data from educational and psychological tests.
Author: Gunter Maris, Timo Bechger, Jesse Koops, Ivailo Partchev
Maintainer: Jesse Koops <jesse.koops@cito.nl>

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Package CGPfunctions updated to version 0.6.0 with previous version 0.5.9 dated 2020-03-06

Title: Powell Miscellaneous Functions for Teaching and Learning Statistics
Description: Miscellaneous functions useful for teaching statistics as well as actually practicing the art. They typically are not new methods but rather wrappers around either base R or other packages.
Author: Chuck Powell [aut, cre] (<https://orcid.org/0000-0002-3606-2188>)
Maintainer: Chuck Powell <ibecav@gmail.com>

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Package wskm updated to version 1.4.37 with previous version 1.4.36 dated 2020-03-16

Title: Weighted k-Means Clustering
Description: Entropy weighted k-means (ewkm) by Liping Jing, Michael K. Ng and Joshua Zhexue Huang (2007) <doi:10.1109/TKDE.2007.1048> is a weighted subspace clustering algorithm that is well suited to very high dimensional data. Weights are calculated as the importance of a variable with regard to cluster membership. The two-level variable weighting clustering algorithm tw-k-means (twkm) by Xiaojun Chen, Xiaofei Xu, Joshua Zhexue Huang and Yunming Ye (2013) <doi:10.1109/TKDE.2011.262> introduces two types of weights, the weights on individual variables and the weights on variable groups, and they are calculated during the clustering process. The feature group weighted k-means (fgkm) by Xiaojun Chen, Yunminng Ye, Xiaofei Xu and Joshua Zhexue Huang (2012) <doi:10.1016/j.patcog.2011.06.004> extends this concept by grouping features and weighting the group in addition to weighting individual features.
Author: Graham Williams [aut], Joshua Z Huang [aut], Xiaojun Chen [aut], Qiang Wang [aut], Longfei Xiao [aut], He Zhao [cre]
Maintainer: He Zhao <Simon.Yansen.Zhao@gmail.com>

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New package mrfse with initial version 0.2
Package: mrfse
Title: Markov Random Field Structure Estimator
Version: 0.2
Date: 2020-04-01
Description: A Markov random field structure estimator that uses a penalized maximum conditional likelihood method similar to the Bayesian Information Criterion (Frondana, 2016) <doi:10.11606/T.45.2018.tde-02022018-151123>.
License: GPL (>= 3)
Author: Rodrigo Carvalho [aut, cre], Florencia Leonardi [rev, ths]
Maintainer: Rodrigo Carvalho <rodrigorsdc@gmail.com>
NeedsCompilation: yes
Packaged: 2020-04-02 03:20:05 UTC; rodrigo
Repository: CRAN
Date/Publication: 2020-04-02 13:20:05 UTC

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Package tune updated to version 0.1.0 with previous version 0.0.1 dated 2020-02-11

Title: Tidy Tuning Tools
Description: The ability to tune models is important. 'tune' contains functions and classes to be used in conjunction with other 'tidymodels' packages for finding reasonable values of hyper-parameters in models, pre-processing methods, and post-processing steps.
Author: Max Kuhn [aut, cre], RStudio [cph]
Maintainer: Max Kuhn <max@rstudio.com>

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Package tidyxl updated to version 1.0.5 with previous version 1.0.4 dated 2019-01-02

Title: Read Untidy Excel Files
Description: Imports non-tabular from Excel files into R. Exposes cell content, position and formatting in a tidy structure for further manipulation. Tokenizes Excel formulas. Supports '.xlsx' and '.xlsm' via the embedded 'RapidXML' C++ library <http://rapidxml.sourceforge.net>. Does not support '.xlsb' or '.xls'.
Author: Duncan Garmonsway [aut, cre], Hadley Wickham [ctb] (Author of included readxl fragments), Jenny Bryan [ctb] (Author of included readxl fragments), RStudio [cph] (Copyright holder of included readxl fragments), Marcin Kalicinski [ctb, cph] (Author of included RapidXML code)
Maintainer: Duncan Garmonsway <nacnudus@gmail.com>

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New package texmex with initial version 2.4.5
Package: texmex
Type: Package
Title: Statistical Modelling of Extreme Values
Version: 2.4.5
Date: 2020-04-02
Authors@R: c(person("Harry", "Southworth", role=c("aut", "cre"), email="harry.southworth@gmail.com"), person(c("Janet", "E."), "Heffernan", role="aut"), person(c("Paul", "D."), "Metcalfe", role="aut", ,email="paul.metcalfe@gmail.com"), person("Yiannis", "Papastathopoulos", role="ctb"), person("Alec", "Stephenson", role="ctb"), person("Stuart", "Coles", role="ctb"))
Author: Harry Southworth [aut, cre], Janet E. Heffernan [aut], Paul D. Metcalfe [aut], Yiannis Papastathopoulos [ctb], Alec Stephenson [ctb], Stuart Coles [ctb]
Maintainer: Harry Southworth <harry.southworth@gmail.com>
Description: Statistical extreme value modelling of threshold excesses, maxima and multivariate extremes. Univariate models for threshold excesses and maxima are the Generalised Pareto, and Generalised Extreme Value model respectively. These models may be fitted by using maximum (optionally penalised-)likelihood, or Bayesian estimation, and both classes of models may be fitted with covariates in any/all model parameters. Model diagnostics support the fitting process. Graphical output for visualising fitted models and return level estimates is provided. For serially dependent sequences, the intervals declustering algorithm of Ferro and Segers (2003) <doi:10.1111/1467-9868.00401> is provided, with diagnostic support to aid selection of threshold and declustering horizon. Multivariate modelling is performed via the conditional approach of Heffernan and Tawn (2004) <doi:10.1111/j.1467-9868.2004.02050.x>, with graphical tools for threshold selection and to diagnose estimation convergence.
License: GPL (>= 2)
Depends: mvtnorm, ggplot2, stats
Suggests: MASS, gridExtra, parallel, lattice, knitr, dplyr, tidyr, testthat, devtools, survival, ismev
Imports: Rcpp (>= 0.12.18)
LinkingTo: Rcpp
LazyLoad: yes
LazyData: yes
URL: https://github.com/harrysouthworth/texmex
RoxygenNote: 7.1.0
Encoding: UTF-8
VignetteBuilder: knitr
Collate: 'AIC.evm.R' 'Dcond.R' 'Profile_likelihood_HT_unc.R' 'Profile_likelihood_cd_nm_joint_D_KT.R' 'Profile_likelihood_cd_nm_joint_D_KT_neg.R' 'RcppExports.R' 'bootmex.R' 'gpd.sandwich.R' 'gpd.info.R' 'texmexFamily.R' 'cgpd.R' 'chi.R' 'coef.evmSim.R' 'coefficients.evm.R' 'coefficients.migpd.R' 'constructObject.R' 'copulas.R' 'cv.R' 'degp3.R' 'dgev.R' 'dgpd.R' 'efficient.closures.R' 'egp3.R' 'egp3RangeFit.R' 'endPoint.R' 'estimate_HT.R' 'estimate_HT_KPT_joint_posneg_nm.R' 'evm.R' 'evm.simSetSeed.R' 'evmBoot.R' 'evmFit.R' 'evmSim.R' 'extremalIndex.R' 'gev.R' 'ggplot.bayes.R' 'ggplot.boot.R' 'ggplot.cluster.R' 'ggplot.evm.R' 'ggplot.mex.R' 'ggplot.migpd.R' 'ggplot.predict.R' 'ggplot.thresh.R' 'glo.R' 'globalVariables.R' 'gpd.R' 'gpdProfileLikRetLevels.R' 'gpdRangeFit.R' 'gumbel.R' 'hist.evm.R' 'initial_posneg.R' 'jointExceedanceCurves.R' 'mex.R' 'mexDependence.R' 'mexDependenceLowLevelFunctions.R' 'mexMonteCarlo.R' 'mexRangeFit.R' 'mexTransform.R' 'migpd.R' 'migpdCoefs.R' 'mrl.R' 'mspearman.R' 'multivariate.cauchy.R' 'pegp3.R' 'pgev.R' 'pgpd.R' 'plot.bootmex.R' 'plot.evm.R' 'plot.evmSim.R' 'plot.mex.R' 'plot.mexPrediction.R' 'plot.migpd.R' 'plot.predict.link.evm.R' 'plotrl.evm.R' 'ppevm.R' 'predict.evm.R' 'predict.mex.R' 'predictWorkers.R' 'print.bootmex.R' 'print.evm.R' 'print.evmSim.R' 'print.mexDependence.R' 'print.mexPrediction.R' 'print.migpd.R' 'profile_minmax_joint_posneg_KT.R' 'qegp3.R' 'qgev.R' 'qgpd.R' 'qgpd2.R' 'qqevm.R' 'rMaxAR.R' 'regp3.R' 'residuals.evm.R' 'revTransform.R' 'rgev.R' 'rgpd.R' 'roots.R' 'simulate.R' 'sombrero-internal.R' 'summary.evm.R' 'summary.evmSim.R' 'summary.migpd.R' 'summary.predict.mex.R' 'texmex-package.R' 'texmexWorkers.R' 'thinAndBurn.evm.sim.R' 'u2gpd.R' 'weibull.info.R' 'weibull.R'
NeedsCompilation: yes
Packaged: 2020-04-02 10:33:41 UTC; harry
Repository: CRAN
Date/Publication: 2020-04-02 12:20:02 UTC

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Package rrtable updated to version 0.2.1 with previous version 0.1.7 dated 2020-02-04

Title: Reproducible Research with a Table of R Codes
Description: Makes documents containing plots and tables from a table of R codes. Can make "HTML", "pdf('LaTex')", "docx('MS Word')" and "pptx('MS Powerpoint')" documents with or without R code. In the package, modularized 'shiny' app codes are provided. These modules are intended for reuse across applications.
Author: Keon-Woong Moon [aut, cre]
Maintainer: Keon-Woong Moon <cardiomoon@gmail.com>

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Package roptim updated to version 0.1.4 with previous version 0.1.3 dated 2020-03-28

Title: General Purpose Optimization in R using C++
Description: Perform general purpose optimization in R using C++. A unified wrapper interface is provided to call C functions of the five optimization algorithms ('Nelder-Mead', 'BFGS', 'CG', 'L-BFGS-B' and 'SANN') underlying optim().
Author: Yi Pan [aut, cre]
Maintainer: Yi Pan <ypan1988@gmail.com>

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Package photobiology updated to version 0.10.0 with previous version 0.9.30 dated 2020-01-09

Title: Photobiological Calculations
Description: Definitions of classes, methods, operators and functions for use in photobiology and radiation meteorology and climatology. Calculation of effective (weighted) and not-weighted irradiances/doses, fluence rates, transmittance, reflectance, absorptance, absorbance and diverse ratios and other derived quantities from spectral data. Local maxima and minima: peaks, valleys and spikes. Conversion between energy-and photon-based units. Wavelength interpolation. Astronomical calculations related solar angles and day length. Colours and vision. This package is part of the 'r4photobiology' suite, Aphalo, P. J. (2015) <doi:10.19232/uv4pb.2015.1.14>.
Author: Pedro J. Aphalo [aut, cre] (<https://orcid.org/0000-0003-3385-972X>), Titta K. Kotilainen [ctb] (<https://orcid.org/0000-0002-2822-9734>), Glenn Davis [ctb], Agnese Fazio [ctb]
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>

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Package LongCART updated to version 1.1 with previous version 1.0 dated 2019-10-07

Title: Recursive Partitioning for Longitudinal Profiles Using Baseline Covariates
Description: Constructs longitudinal tree (i.e., regression tree with heterogeneous longitudinal profile) for continuous longitudinal outcome using baseline covariates as partitioning variables according to the 'LongCART' algorithm as described in Kundu and Harezlak (2019) <doi:10.1080/24709360.2018.1557797>.
Author: Madan G Kundu
Maintainer: Madan G Kundu <madan_g.kundu@yahoo.com>

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Package CVXR updated to version 1.0-1 with previous version 1.0 dated 2020-02-02

Title: Disciplined Convex Optimization
Description: An object-oriented modeling language for disciplined convex programming (DCP). It allows the user to formulate convex optimization problems in a natural way following mathematical convention and DCP rules. The system analyzes the problem, verifies its convexity, converts it into a canonical form, and hands it off to an appropriate solver to obtain the solution.
Author: Anqi Fu [aut, cre], Balasubramanian Narasimhan [aut], David W Kang [aut], Steven Diamond [aut], John Miller [aut], Stephen Boyd [ctb], Paul Kunsberg Rosenfield [ctb]
Maintainer: Anqi Fu <anqif@stanford.edu>

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Package wsbackfit updated to version 1.0-2 with previous version 1.0-1 dated 2020-03-26

Title: Weighted Smooth Backfitting for Structured Models
Description: Non- and semiparametric regression for generalized additive, partial linear, and varying coefficient models as well as their combinations via smoothed backfitting. Based on Roca-Pardinas J and Sperlich S (2010) <doi:10.1007/s11222-009-9130-2>; Mammen E, Linton O and Nielsen J (1999) <doi:10.1214/aos/1017939138>; Lee YK, Mammen E, Park BU (2012) <doi:10.1214/12-AOS1026>.
Author: Javier Roca-Pardinas [aut, cre], Maria Xose Rodriguez-Alvarez [aut], Stefan Sperlich [aut], Alan Miller (FORTRAN code lsq.f90: weighted least-squares module) [ctb]
Maintainer: Javier Roca-Pardinas <roca@uvigo.es>

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Package tidyfst updated to version 0.9.4 with previous version 0.9.3 dated 2020-03-24

Title: Tidy Verbs for Fast Data Manipulation
Description: A toolkit of tidy data manipulation verbs with 'data.table' as the backend. Combining the merits of syntax elegance from 'dplyr' and computing performance from 'data.table', 'tidyfst' intends to provide users with state-of-the-art data manipulation tools with least pain. This package is an extension of 'data.table'. While enjoying a tidy syntax, it also wraps combinations of efficient functions to facilitate frequently-used data operations.
Author: Tian-Yuan Huang [aut, cre] (<https://orcid.org/0000-0002-3591-4203>)
Maintainer: Tian-Yuan Huang <huang.tian-yuan@qq.com>

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Package staRdom updated to version 1.1.10 with previous version 1.1.7 dated 2020-03-13

Title: PARAFAC Analysis of EEMs from DOM
Description: This is a user-friendly way to run a parallel factor (PARAFAC) analysis (Harshman, 1971) <doi:10.1121/1.1977523> on excitation emission matrix (EEM) data from dissolved organic matter (DOM) samples (Murphy et al., 2013) <doi:10.1039/c3ay41160e>. The analysis includes profound methods for model validation. Some additional functions allow the calculation of absorbance slope parameters and create beautiful plots.
Author: Matthias Pucher [aut, cre], Daniel Graeber [aut, ctb], Stefan Preiner [ctb], Renata Pinto [ctb]
Maintainer: Matthias Pucher <matthias.pucher@wcl.ac.at>

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Package RQuantLib updated to version 0.4.12 with previous version 0.4.11 dated 2020-01-15

Title: R Interface to the 'QuantLib' Library
Description: The 'RQuantLib' package makes parts of 'QuantLib' accessible from R The 'QuantLib' project aims to provide a comprehensive software framework for quantitative finance. The goal is to provide a standard open source library for quantitative analysis, modeling, trading, and risk management of financial assets.
Author: Dirk Eddelbuettel, Khanh Nguyen (2009-2010), Terry Leitch (since 2016)
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package RGraphics updated to version 3.0-1 with previous version 2.0-14 dated 2016-03-03

Title: Data and Functions from the Book R Graphics, Third Edition
Description: Data and Functions from the book R Graphics, Third Edition. There is a function to produce each figure in the book, plus several functions, classes, and methods defined in Chapter 8.
Author: Paul Murrell
Maintainer: Paul Murrell <paul@stat.auckland.ac.nz>

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Package rGEDI updated to version 0.1.2 with previous version 0.1.1 dated 2020-04-01

Title: NASA's Global Ecosystem Dynamics Investigation (GEDI) Data Visualization and Processing
Description: Set of tools for downloading, reading, visualizing and processing GEDI Level1B, Level2A and Level2B data.
Author: Carlos Alberto Silva [aut, cre, cph], Caio Hamamura [aut, cph], Ruben Valbuena [aut, ctb], Steven Hancock [aut, ctb], Adrian Cardil [aut, ctb], Eben North Broadbent [aut, ctb], Danilo Roberti Alves de Almeida [aut, ctb], Celso H. L. Silva Junior [aut, ctb], Carine Klauberg [aut, ctb], Burton Garbow [cph] (Is the author of the MINPACK-1 Least Squares Fitting Library), Kenneth Hillstrom [cph] (Is the author of the MINPACK-1 Least Squares Fitting Library), Jorge More [cph] (Is the author of the MINPACK-1 Least Squares Fitting Library), Craig Markwardt [cph] (Is the author of the enhanced MINPACK-1 Least Squares Fitting Library)
Maintainer: Carlos Alberto Silva <carlos_engflorestal@outlook.com>

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New package phenofit with initial version 0.2.7
Package: phenofit
Type: Package
Title: Extract Remote Sensing Vegetation Phenology
Version: 0.2.7
Authors@R: c( person("Dongdong", "Kong", role = c("aut", "cre"), email = "kongdd.sysu@gmail.com"), person("Mingzhong", "Xiao", role = c("aut"), email = "xmingzh@mail2.sysu.edu.cn"), person("Yongqiang", "Zhang", role = c("aut"), email = "yongqiang.zhang2014@gmail.com"), person("Xihui", "Gu", role = c("aut"), email = "guxh@cug.edu.cn"), person("Jianjian", "Cui", role = c("aut"), email = "cuijj6@mail2.sysu.edu.cn"))
Description: The merits of 'TIMESAT' and 'phenopix' are adopted. Besides, a simple and growing season dividing method and a practical snow elimination method based on Whittaker were proposed. 7 curve fitting methods and 4 phenology extraction methods were provided. Parameters boundary are considered for every curve fitting methods according to their ecological meaning. And 'optimx' is used to select best optimization method for different curve fitting methods. Reference: Dongdong Kong, R package: A state-of-the-art Vegetation Phenology extraction package, phenofit version 0.2.3, <https://github.com/kongdd/phenofit>; Zhang, Q., Kong, D., Shi, P., Singh, V.P., Sun, P., 2018. Vegetation phenology on the Qinghai-Tibetan Plateau and its response to climate change (1982–2013). Agric. For. Meteorol. 248, 408–417. <doi:10.1016/j.agrformet.2017.10.026>.
License: GPL-2 | file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
LinkingTo: Rcpp, RcppArmadillo
Depends: R (>= 3.1)
Imports: Rcpp, tibble, dplyr, purrr, stringr, tidyr, ggplot2, lubridate, data.table, spam, grid, gridExtra, magrittr, plyr, reshape2, zoo, optimx, ucminf, numDeriv, grDevices, utils, stats, shiny, jsonlite, foreach, iterators, JuliaCall, methods
Suggests: knitr, rmarkdown, testthat (>= 2.1.0)
URL: https://github.com/kongdd/phenofit
BugReports: https://github.com/kongdd/phenofit/issues
NeedsCompilation: yes
Packaged: 2020-04-02 08:23:21 UTC; kongdd
Author: Dongdong Kong [aut, cre], Mingzhong Xiao [aut], Yongqiang Zhang [aut], Xihui Gu [aut], Jianjian Cui [aut]
Maintainer: Dongdong Kong <kongdd.sysu@gmail.com>
Repository: CRAN
Date/Publication: 2020-04-02 11:40:03 UTC

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Package ozmaps updated to version 0.3.6 with previous version 0.3.0 dated 2020-01-07

Title: Australia Maps
Description: Maps of Australian coastline and administrative regions. Data can be drawn or accessed directly as simple features objects. Includes simple functions for country or state maps of Australia and in-built data sets of administrative regions from the Australian Bureau of Statistics <https://www.abs.gov.au/>. Layers include electoral divisions and local government areas, simplified from the original sources but with sufficient detail to allow mapping of a local municipality.
Author: Michael Sumner [aut, cre], Dianne Cook [ctb], Dario Herenu [ctb]
Maintainer: Michael Sumner <mdsumner@gmail.com>

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Package lattice updated to version 0.20-41 with previous version 0.20-40 dated 2020-02-19

Title: Trellis Graphics for R
Description: A powerful and elegant high-level data visualization system inspired by Trellis graphics, with an emphasis on multivariate data. Lattice is sufficient for typical graphics needs, and is also flexible enough to handle most nonstandard requirements. See ?Lattice for an introduction.
Author: Deepayan Sarkar [aut, cre] (<https://orcid.org/0000-0003-4107-1553>), Felix Andrews [ctb], Kevin Wright [ctb] (documentation), Neil Klepeis [ctb], Paul Murrell [ctb]
Maintainer: Deepayan Sarkar <deepayan.sarkar@r-project.org>

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Package forecastHybrid updated to version 5.0.18 with previous version 4.2.17 dated 2019-02-11

Title: Convenient Functions for Ensemble Time Series Forecasts
Description: Convenient functions for ensemble forecasts in R combining approaches from the 'forecast' package. Forecasts generated from auto.arima(), ets(), thetaf(), nnetar(), stlm(), tbats(), and snaive() can be combined with equal weights, weights based on in-sample errors (introduced by Bates & Granger (1969) <doi:10.1057/jors.1969.103>), or cross-validated weights. Cross validation for time series data with user-supplied models and forecasting functions is also supported to evaluate model accuracy.
Author: David Shaub [aut, cre], Peter Ellis [aut]
Maintainer: David Shaub <davidshaub@gmx.com>

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Package cdcfluview updated to version 0.9.1 with previous version 0.9.0 dated 2019-01-24

Title: Retrieve Flu Season Data from the United States Centers for Disease Control and Prevention ('CDC') 'FluView' Portal
Description: The 'U.S.' Centers for Disease Control and Prevention (CDC) maintain a portal <https://gis.cdc.gov/grasp/fluview/fluportaldashboard.html> for accessing state, regional and national influenza statistics as well as mortality surveillance data. The web interface makes it difficult and time-consuming to select and retrieve influenza data. Tools are provided to access the data provided by the portal's underlying 'API'.
Author: Bob Rudis [aut, cre] (<https://orcid.org/0000-0001-5670-2640>), Craig McGowan [ctb] (<https://orcid.org/0000-0002-6298-0185>), JJ Chen [ctb] (<https://orcid.org/0000-0001-8482-8398>), Sebastian Meyer [ctb] (<https://orcid.org/0000-0002-1791-9449>), James Turtle [ctb] (<https://orcid.org/0000-0003-0735-7769>), Andrew Bates [ctb]
Maintainer: Bob Rudis <bob@rud.is>

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Package sparkTable (with last version 1.3.0) was removed from CRAN

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

2016-12-13 1.3.0
2016-03-07 1.2.0
2015-11-11 1.1.0
2015-04-20 1.0.0
2014-11-17 0.12.0
2014-07-01 0.11.0
2014-05-23 0.10.0
2012-09-27 0.9.6
2012-06-27 0.9.5
2012-06-06 0.9.4
2012-02-07 0.9.3
2011-11-11 0.9.2
2011-07-23 0.9.1
2010-09-13 0.1.3
2010-05-28 0.1.1
2010-05-10 0.1.0

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Package ggmcmc updated to version 1.4.1 with previous version 1.3 dated 2019-07-03

Title: Tools for Analyzing MCMC Simulations from Bayesian Inference
Description: Tools for assessing and diagnosing convergence of Markov Chain Monte Carlo simulations, as well as for graphically display results from full MCMC analysis. The package also facilitates the graphical interpretation of models by providing flexible functions to plot the results against observed variables.
Author: Xavier Fernández i Marín [aut, cre]
Maintainer: Xavier Fernández i Marín <xavier.fim@gmail.com>

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Package dscore updated to version 1.2.0 with previous version 1.1.0 dated 2020-02-23

Title: D-Score for Child Development
Description: The D-score is a quantitative measure of child development. The D-score follows the Rasch model. See Jacobusse, van Buuren and Verkerk (2006) <doi:10.1002/sim.2351>. The user can convert milestone scores from 19 assessment instruments into the D-score and the DAZ (D-score adjusted for age). Several tools assist in mapping milestone names into the 9-position Global Scale of Early Development (GSED) convention. Supports calculation of the D-score using 'dutch' <doi:10.1177/0962280212473300>, 'gcdg' <doi:10.1136/bmjgh-2019-001724> and 'gsed' conversion keys. The user can calculate DAZ using 'dutch' and 'gcdg' age-conditional references.
Author: Stef van Buuren [cre, aut], Iris Eekhout [aut], Arjan Huizing [aut]
Maintainer: Stef van Buuren <stef.vanbuuren@tno.nl>

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Package tidytree updated to version 0.3.3 with previous version 0.3.2 dated 2020-03-12

Title: A Tidy Tool for Phylogenetic Tree Data Manipulation
Description: Phylogenetic tree generally contains multiple components including node, edge, branch and associated data. 'tidytree' provides an approach to convert tree object to tidy data frame as well as provides tidy interfaces to manipulate tree data.
Author: Guangchuang Yu [aut, cre, cph] (<https://orcid.org/0000-0002-6485-8781>), Bradley Jones [ctb], Zebulun Arendsee [ctb]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package ssmrob updated to version 0.8 with previous version 0.7 dated 2019-07-19

Title: Robust Estimation and Inference in Sample Selection Models
Description: Package provides a set of tools for robust estimation and inference for models with sample selectivity.
Author: Mikhail Zhelonkin, Marc G. Genton, Elvezio Ronchetti
Maintainer: Mikhail Zhelonkin <Mikhail.Zhelonkin@gmail.com>

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Package mapsFinland updated to version 0.1.1 with previous version 0.1.0 dated 2020-03-21

Title: Maps of Finland
Description: Maps and other related data of Finland.
Author: Jari Haukka [aut, cre] (<https://orcid.org/0000-0003-1450-6208>)
Maintainer: Jari Haukka <jari.haukka@helsinki.fi>

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Package raceland updated to version 1.0.8 with previous version 1.0.7 dated 2020-03-26

Title: Pattern-Based Zoneless Method for Analysis and Visualization of Racial Topography
Description: Implements a computational framework for a pattern-based, zoneless analysis, and visualization of (ethno)racial topography. It is a reimagined approach for analyzing residential segregation and racial diversity based on the concept of 'landscape’ used in the domain of landscape ecology.
Author: Jakub Nowosad [aut, cre] (<https://orcid.org/0000-0002-1057-3721>), Anna Dmowska [aut], Tomasz Stepinski [aut]
Maintainer: Jakub Nowosad <nowosad.jakub@gmail.com>

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Package pointblank updated to version 0.3.1.1 with previous version 0.3.0 dated 2020-01-10

Title: Validation of Local and Remote Data Tables
Description: Validate data in data frames, 'tibble' objects, and in database tables (e.g., 'PostgreSQL' and 'MySQL'). Validation pipelines can be made using easily-readable, consecutive validation steps. Upon execution of the validation plan, several reporting options are available. User-defined thresholds for failure rates allow for the determination of appropriate reporting actions.
Author: Richard Iannone [aut, cre] (<https://orcid.org/0000-0003-3925-190X>)
Maintainer: Richard Iannone <riannone@me.com>

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Package jpndistrict updated to version 0.3.5 with previous version 0.3.4 dated 2019-05-23

Title: Create Japanese Administration Area and Office Maps
Description: Utilizing the data that Japanese administration area provided by the National Land Numerical Information download service (<http://nlftp.mlit.go.jp/ksj/index.html>). This package provide map data is based on the Digital Map 25000 (Map Image) published by Geospatial Information Authority of Japan (Approval No.603FY2017 information usage <http://www.gsi.go.jp>).
Author: Shinya Uryu [aut, cre] (<https://orcid.org/0000-0002-0493-6186>), Geospatial Information Authority of Japan [dtc] (This package data sets, National Land numerical information by the Geographical Survey Institute with the approval of Geographical Survey Institute Head (Approval No.603FY2017 information usage))
Maintainer: Shinya Uryu <suika1127@gmail.com>

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Package ggimage updated to version 0.2.8 with previous version 0.2.7 dated 2020-01-09

Title: Use Image in 'ggplot2'
Description: Supports image files and graphic objects to be visualized in 'ggplot2' graphic system.
Author: Guangchuang Yu [aut, cre] (<https://orcid.org/0000-0002-6485-8781>)
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package openair updated to version 2.7-2 with previous version 2.7-0 dated 2019-11-24

Title: Tools for the Analysis of Air Pollution Data
Description: Tools to analyse, interpret and understand air pollution data. Data are typically hourly time series and both monitoring data and dispersion model output can be analysed. Many functions can also be applied to other data, including meteorological and traffic data.
Author: David Carslaw [aut, cre], Karl Ropkins [aut]
Maintainer: David Carslaw <david.carslaw@york.ac.uk>

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Package vtable updated to version 1.0.1 with previous version 0.6.0 dated 2019-12-19

Title: Variable Table for Variable Documentation
Description: Automatically generates HTML variable documentation including variable names, labels, classes, value labels (if applicable), value ranges, and summary statistics. See the vignette "vtable" for a package overview.
Author: Nick Huntington-Klein [aut, cre]
Maintainer: Nick Huntington-Klein <nhuntington-klein@fullerton.edu>

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Package synthACS updated to version 1.5.6 with previous version 1.5.5 dated 2020-03-24

Title: Synthetic Microdata and Spatial MicroSimulation Modeling for ACS Data
Description: Provides access to curated American Community Survey (ACS) base tables via a wrapper to library(acs). Builds synthetic micro-datasets at any user-specified geographic level with ten default attributes; and, conducts spatial microsimulation modeling (SMSM) via simulated annealing. SMSM is conducted in parallel by default. Lastly, we provide functionality for data-extensibility of micro-datasets.
Author: Alex Whitworth [aut, cre]
Maintainer: Alex Whitworth <whitworth.alex@gmail.com>

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Package ShapePattern updated to version 2.0.3 with previous version 2.0.2 dated 2020-03-14

Title: Tools for Analyzing Shapes and Patterns
Description: This is an evolving and growing collection of tools for the quantification, assessment, and comparison of shape and pattern. This collection provides tools for: (1) the spatial decomposition of planar shapes using 'ShrinkShape' to incrementally shrink shapes to extinction while computing area, perimeter, and number of parts at each iteration of shrinking; the spectra of results are returned in graphic and tabular formats, (2) simulating landscape patterns, (3) provision of tools for estimating composition and configuration parameters from a categorical (binary) landscape map (grid) and then simulates a selected number of statistically similar landscapes. Class-focused pattern metrics are computed for each simulated map to produce empirical distributions against which statistical comparisons can be made. The code permits the analysis of single maps or pairs of maps, (4) counting the number of each first-order pattern element and converting that information into both frequency and empirical probability vectors. See Remmel (2018) <doi:10.3390/su10103413> and Remmel and Fortin (2013) <doi:10.1007/s10980-013-9905-x>. NOTE: This is a consolidation of existing packages ('PatternClass', 'ShapePattern') to begin warehousing all shape and pattern code in a common package. Additional utility tools for handling data are provided and this package will be added to as more tools are created, cleaned-up, and documented. Note that all future developments will appear in this package and that 'PatternClass' will eventually be archived.
Author: Tarmo K. Remmel [aut, cre] (<https://orcid.org/0000-0001-6251-876X>), Marie-Josee Fortin [ctb], Ferenc Csillag [ctb], Sandor Kabos [ctb]
Maintainer: Tarmo K. Remmel <remmelt@yorku.ca>

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Package rdrobust updated to version 0.99.6 with previous version 0.99.5 dated 2020-01-10

Title: Robust Data-Driven Statistical Inference in Regression-Discontinuity Designs
Description: Regression-discontinuity (RD) designs are quasi-experimental research designs popular in social, behavioral and natural sciences. The RD design is usually employed to study the (local) causal effect of a treatment, intervention or policy. This package provides tools for data-driven graphical and analytical statistical inference in RD designs: rdrobust() to construct local-polynomial point estimators and robust confidence intervals for average treatment effects at the cutoff in Sharp, Fuzzy and Kink RD settings, rdbwselect() to perform bandwidth selection for the different procedures implemented, and rdplot() to conduct exploratory data analysis (RD plots).
Author: Sebastian Calonico <sebastian.calonico@columbia.edu>, Matias D. Cattaneo <cattaneo@princeton.edu>, Max H. Farrell <max.farrell@chicagobooth.edu>, Rocio Titiunik <titiunik@princeton.edu>
Maintainer: Sebastian Calonico <sebastian.calonico@columbia.edu>

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Package portalr updated to version 0.3.3 with previous version 0.3.1 dated 2020-01-16

Title: Create Useful Summaries of the Portal Data
Description: Download and generate summaries for the rodent, plant, ant, and weather data from the Portal Project. Portal is a long-term (and ongoing) experimental monitoring site in the Chihuahua desert. The raw data files can be found at <https://github.com/weecology/portaldata>.
Author: Glenda M. Yenni [aut, cre] (<https://orcid.org/0000-0001-6969-1848>), Hao Ye [aut] (<https://orcid.org/0000-0002-8630-1458>), Erica M. Christensen [aut] (<https://orcid.org/0000-0002-5635-2502>), Juniper L. Simonis [aut] (<https://orcid.org/0000-0001-9798-0460>), Ellen K. Bledsoe [aut] (<https://orcid.org/0000-0002-3629-7235>), Renata M. Diaz [aut] (<https://orcid.org/0000-0003-0803-4734>), Shawn D. Taylor [aut] (<https://orcid.org/0000-0002-6178-6903>), Ethan P, White [aut] (<https://orcid.org/0000-0001-6728-7745>), S.K. Morgan Ernest [aut] (<https://orcid.org/0000-0002-6026-8530>)
Maintainer: Glenda M. Yenni <glenda@weecology.org>

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Package nprobust updated to version 0.3.0 with previous version 0.2.1 dated 2019-10-30

Title: Nonparametric Robust Estimation and Inference Methods using Local Polynomial Regression and Kernel Density Estimation
Description: Tools for data-driven statistical analysis using local polynomial regression and kernel density estimation methods as described in Calonico, Cattaneo and Farrell (2018, <doi:10.1080/01621459.2017.1285776>): lprobust() for local polynomial point estimation and robust bias-corrected inference, lpbwselect() for local polynomial bandwidth selection, kdrobust() for kernel density point estimation and robust bias-corrected inference, kdbwselect() for kernel density bandwidth selection, and nprobust.plot() for plotting results. The main methodological and numerical features of this package are described in Calonico, Cattaneo and Farrell (2019, <doi:10.18637/jss.v091.i08>).
Author: Sebastian Calonico <sebastian.calonico@columbia.edu>, Matias D. Cattaneo <cattaneo@princeton.edu>, Max H. Farrell <max.farrell@chicagobooth.edu>
Maintainer: Sebastian Calonico <sebastian.calonico@columbia.edu>

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Package forestError updated to version 0.2.0 with previous version 0.1.1 dated 2020-01-31

Title: A Unified Framework for Random Forest Prediction Error Estimation
Description: Estimates the conditional error distributions of random forest predictions and common parameters of those distributions, including conditional mean squared prediction errors, conditional biases, and conditional quantiles, by out-of-bag weighting of out-of-bag prediction errors as proposed by Lu and Hardin (2019+) <arXiv:1912.07435>. This package is compatible with several existing packages that implement random forests in R.
Author: Benjamin Lu and Johanna Hardin
Maintainer: Benjamin Lu <b.lu@berkeley.edu>

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Package gexp updated to version 1.0-1 with previous version 1.0-0 dated 2019-06-14

Title: Generator of Experiments
Description: Generates experiments - simulating structured or experimental data as: completely randomized design, randomized block design, latin square design, factorial and split-plot experiments (Ferreira, 2008, ISBN:8587692526; Naes et al., 2007 <doi:10.1002/qre.841>; Rencher et al., 2007, ISBN:9780471754985; Montgomery, 2001, ISBN:0471316490).
Author: Ivan Bezerra Allaman <ivanalaman@gmail.com> and Jos<e9> Cl<e1>udio Faria <joseclaudio.faria@gmail.com>
Maintainer: Ivan Bezerra Allaman <ivanalaman@gmail.com>

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