Tue, 11 Aug 2020

Package WVPlots updated to version 1.2.6 with previous version 1.2.5 dated 2020-05-01

Title: Common Plots for Analysis
Description: Select data analysis plots, under a standardized calling interface implemented on top of 'ggplot2' and 'plotly'. Plots of interest include: 'ROC', gain curve, scatter plot with marginal distributions, conditioned scatter plot with marginal densities, box and stem with matching theoretical distribution, and density with matching theoretical distribution.
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

Diff between WVPlots versions 1.2.5 dated 2020-05-01 and 1.2.6 dated 2020-08-11

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More information about WVPlots at CRAN
Permanent link

Package spaMM updated to version 3.4.1 with previous version 3.3.0 dated 2020-05-30

Title: Mixed-Effect Models, Particularly Spatial Models
Description: Inference based on mixed-effect models, including generalized linear mixed models with spatial correlations and models with non-Gaussian random effects (e.g., Beta). Various approximations of likelihood or restricted likelihood are implemented, in particular Laplace approximation and h-likelihood (Lee and Nelder 2001 <doi:10.1093/biomet/88.4.987>). Both classical geostatistical models, and Markov random field models on irregular grids (as considered in the 'INLA' package, <http://www.r-inla.org>), can be fitted. Variation in residual variance (heteroscedasticity) can itself be represented by a mixed-effect model.
Author: François Rousset [aut, cre, cph] (<https://orcid.org/0000-0003-4670-0371>), Jean-Baptiste Ferdy [aut, cph], Alexandre Courtiol [aut] (<https://orcid.org/0000-0003-0637-2959>), GSL authors [ctb] (src/gsl_bessel.*)
Maintainer: François Rousset <francois.rousset@umontpellier.fr>

Diff between spaMM versions 3.3.0 dated 2020-05-30 and 3.4.1 dated 2020-08-11

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More information about spaMM at CRAN
Permanent link

Package gtsummary updated to version 1.3.3 with previous version 1.3.2 dated 2020-06-14

Title: Presentation-Ready Data Summary and Analytic Result Tables
Description: Creates presentation-ready tables summarizing data sets, regression models, and more. The code to create the tables is concise and highly customizable. Data frames can be summarized with any function, e.g. mean(), median(), even user-written functions. Regression models are summarized and include the reference rows for categorical variables. Common regression models, such as logistic regression and Cox proportional hazards regression, are automatically identified and the tables are pre-filled with appropriate column headers.
Author: Daniel D. Sjoberg [aut, cre] (<https://orcid.org/0000-0003-0862-2018>), Margie Hannum [aut] (<https://orcid.org/0000-0002-2953-0449>), Karissa Whiting [aut] (<https://orcid.org/0000-0002-4683-1868>), Emily C. Zabor [aut] (<https://orcid.org/0000-0002-1402-4498>), Michael Curry [ctb] (<https://orcid.org/0000-0002-0261-4044>), Esther Drill [ctb] (<https://orcid.org/0000-0002-3315-4538>), Jessica Flynn [ctb] (<https://orcid.org/0000-0001-8310-6684>), Joseph Larmarange [ctb] (<https://orcid.org/0000-0001-7097-700X>), Stephanie Lobaugh [ctb], Gustavo Zapata Wainberg [ctb] (<https://orcid.org/0000-0002-2524-3637>)
Maintainer: Daniel D. Sjoberg <danield.sjoberg@gmail.com>

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Package DTRreg updated to version 1.6 with previous version 1.5 dated 2019-10-17

Title: DTR Estimation and Inference via G-Estimation, Dynamic WOLS, Q-Learning, and Dynamic Weighted Survival Modeling (DWSurv)
Description: Dynamic treatment regime estimation and inference via G-estimation, dynamic weighted ordinary least squares (dWOLS) and Q-learning. Inference via bootstrap and (for G-estimation) recursive sandwich estimation. Estimation and inference for survival outcomes via Dynamic Weighted Survival Modeling (DWSurv). Extension to continuous treatment variables (gdwols). Wallace et al. (2017) <DOI:10.18637/jss.v080.i02>; Simoneau et al. (2020) <DOI:10.1080/00949655.2020.1793341>.
Author: Michael Wallace, Erica E M Moodie, David A Stephens, Gabrielle Simoneau and Juliana Schulz
Maintainer: Michael Wallace <michael.wallace@uwaterloo.ca>

Diff between DTRreg versions 1.5 dated 2019-10-17 and 1.6 dated 2020-08-11

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Package stylo updated to version 0.7.3 with previous version 0.7.2 dated 2020-04-20

Title: Stylometric Multivariate Analyses
Description: Supervised and unsupervised multivariate methods, supplemented by GUI and some visualizations, to perform various analyses in the field of computational stylistics, authorship attribution, etc. For further reference, see Eder et al. (2016), <https://journal.r-project.org/archive/2016/RJ-2016-007/index.html>. You are also encouraged to visit the Computational Stylistics Group's website <https://computationalstylistics.github.io/>, where a reasonable amount of information about the package and related projects are provided.
Author: Maciej Eder, Jan Rybicki, Mike Kestemont, Steffen Pielstroem
Maintainer: Maciej Eder <maciejeder@gmail.com>

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Package sigr updated to version 1.0.8 with previous version 1.0.6 dated 2019-07-24

Title: Succinct and Correct Statistical Summaries for Reports
Description: Succinctly and correctly format statistical summaries of various models and tests (F-test, Chi-Sq-test, Fisher-test, T-test, and rank-significance). The main purpose is unified reporting of experimental results, working around issue such as the difficulty of extracting model summary facts (such as with 'lm'/'glm'). This package also includes empirical tests, such as bootstrap estimates.
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

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Package shazam updated to version 1.0.2 with previous version 1.0.1 dated 2020-07-19

Title: Immunoglobulin Somatic Hypermutation Analysis
Description: Provides a computational framework for analyzing mutations in immunoglobulin (Ig) sequences. Includes methods for Bayesian estimation of antigen-driven selection pressure, mutational load quantification, building of somatic hypermutation (SHM) models, and model-dependent distance calculations. Also includes empirically derived models of SHM for both mice and humans. Citations: Gupta and Vander Heiden, et al (2015) <doi:10.1093/bioinformatics/btv359>, Yaari, et al (2012) <doi:10.1093/nar/gks457>, Yaari, et al (2013) <doi:10.3389/fimmu.2013.00358>, Cui, et al (2016) <doi:10.4049/jimmunol.1502263>.
Author: Mohamed Uduman [aut], Namita Gupta [aut], Susanna Marquez [aut], Julian Zhou [aut], Nima Nouri [aut], Ang Cui [ctb], Jason Vander Heiden [aut, cre], Gur Yaari [aut], Steven Kleinstein [aut, cph]
Maintainer: Jason Vander Heiden <jason.vanderheiden@gmail.com>

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New package rdomains with initial version 0.1.9
Package: rdomains
Title: Get the Category of Content Hosted by a Domain
Version: 0.1.9
Authors@R: person("Gaurav", "Sood", email = "gsood07@gmail.com", role = c("aut", "cre"))
Description: Get the category of content hosted by a domain. Use Shallalist <http://shalla.de/>, Virustotal (which provides access to lots of services) <https://www.virustotal.com/>, Alexa <https://aws.amazon.com/awis/>, DMOZ <https://curlie.org/>, University Domain list <https://github.com/Hipo/university-domains-list> or validated machine learning classifiers based on Shallalist data to learn about the kind of content hosted by a domain.
Depends: R (>= 3.4.0)
Imports: Matrix, urltools, glmnet, stats, methods, XML, httr, xml2, curl, virustotal, aws.alexa, rlang, jsonlite, devtools
Suggests: testthat, rmarkdown, knitr (>= 1.11), lintr
VignetteBuilder: knitr
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-08-06 02:51:00 UTC; soodoku
Author: Gaurav Sood [aut, cre]
Maintainer: Gaurav Sood <gsood07@gmail.com>
Repository: CRAN
Date/Publication: 2020-08-11 16:20:08 UTC

More information about rdomains at CRAN
Permanent link

Package Omisc updated to version 0.1.3 with previous version 0.1.2 dated 2019-07-03

Title: Univariate Bootstrapping and Other Things
Description: Primarily devoted to implementing the Univariate Bootstrap (as well as the Traditional Bootstrap). In addition there are multiple functions for DeFries-Fulker behavioral genetics models. The univariate bootstrapping functions, DeFries-Fulker functions, regression and traditional bootstrapping functions form the original core. Additional features may come online later, however this software is a work in progress. For more information about univariate bootstrapping see: Lee and Rodgers (1998) and Beasley et al (2007) <doi.org/10.1037/1082-989X.12.4.414>.
Author: Patrick O'Keefe
Maintainer: Patrick O'Keefe <patrick.okeefe@vanderbilt.edu>

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Package DynareR updated to version 0.1.1 with previous version 0.1.0 dated 2020-06-25

Title: A Seamless Integration of 'R' and 'Dynare'
Description: It allows running 'Dynare' program from R Markdown. 'Dynare' is a software platform for handling a wide class of economic models, in particular dynamic stochastic general equilibrium ('DSGE') and overlapping generations ('OLG') models. This package serves as a 'Dynare' Knit-Engine for 'knitr' package. The package requires 'Dynare' 4.6.1 (<https://www.dynare.org/>) and 'Octave' 5.2.0 (<https://www.gnu.org/software/octave/download.html>). Write all your 'Dynare' commands in R Markdown chunk.
Author: Sagiru Mati [aut, cre]
Maintainer: Sagiru Mati <smati@smati.com.ng>

Diff between DynareR versions 0.1.0 dated 2020-06-25 and 0.1.1 dated 2020-08-11

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New package wikisourcer with initial version 0.1.5
Package: wikisourcer
Type: Package
Title: Download Public Domain Works from Wikisource
Version: 0.1.5
Authors@R: person("Félix", "Luginbuhl", email = "felix.luginbuhl@protonmail.ch", role = c("aut", "cre"))
Maintainer: Félix Luginbuhl <felix.luginbuhl@protonmail.ch>
Description: Download public domain works from Wikisource <https://wikisource.org/>, a free library from the Wikimedia Foundation project.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: tibble, magrittr, rvest, purrr, xml2, urltools, httr, curl
RoxygenNote: 7.1.0
URL: https://github.com/lgnbhl/wikisourcer
BugReports: https://github.com/lgnbhl/wikisourcer/issues
Suggests: dplyr, stringr, knitr, rmarkdown, ggplot2, tidyr, tidytext, stopwords, widyr, SnowballC, ggraph, igraph
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-08-09 15:41:11 UTC; Felix
Author: Félix Luginbuhl [aut, cre]
Repository: CRAN
Date/Publication: 2020-08-11 15:40:02 UTC

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New package TextMiningGUI with initial version 0.1
Package: TextMiningGUI
Version: 0.1
Date: 2020-08-03
Title: Text Mining GUI Interface
Authors@R: c(person("Conrado", "Reyes", email = "coreyes@gmail.com", role = c("aut", "cre")), person("Purificacion", "Galindo", role = c("tch")))
Maintainer: Conrado Reyes <coreyes@gmail.com>
URL: https://c0reyes.github.io/TextMiningGUI/
Depends: R(>= 3.6), syuzhet
Imports: tcltk, tkrplot, dplyr, tidyr, tidytext, tibble, tm, slam, ggplot2, ggwordcloud, RColorBrewer
Suggests: SnowballC, readxl, jsonlite, parallel, ggrepel, ggpubr, igraph, ggraph, ape, topicmodels, ca, corrr, data.table, knitr, rmarkdown
Description: Graphic interface for text analysis, implement a few methods such as biplots, correspondence analysis, co-occurrence, clustering, topic models, correlations and sentiments.
License: GPL (>= 2)
LazyData: true
NeedsCompilation: no
Packaged: 2020-08-03 23:02:33 UTC; coreyes
Author: Conrado Reyes [aut, cre], Purificacion Galindo [tch]
Repository: CRAN
Date/Publication: 2020-08-11 15:20:08 UTC

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Package skedastic updated to version 1.0.0 with previous version 0.1.0 dated 2020-01-10

Title: Heteroskedasticity Diagnostics for Linear Regression Models
Description: Implements numerous methods for detecting heteroskedasticity (sometimes called heteroscedasticity) in the classical linear regression model. These include a test based on Anscombe (1961) <https://projecteuclid.org/ euclid.bsmsp/1200512155>, Ramsey's (1969) BAMSET Test <doi:10.1111/j.2517-6161.1969.tb00796.x>, the tests of Bickel (1978) <doi:10.1214/aos/1176344124>, Breusch and Pagan (1979) <doi:10.2307/1911963> with and without the modification proposed by Koenker (1981) <doi:10.1016/0304-4076(81)90062-2>, Carapeto and Holt (2003) <doi:10.1080/0266476022000018475>, Cook and Weisberg (1983) <doi:10.1093/biomet/70.1.1> (including their graphical methods), Diblasi and Bowman (1997) <doi:10.1016/S0167-7152(96)00115-0>, Dufour, Khalaf, Bernard, and Genest (2004) <doi:10.1016/j.jeconom.2003.10.024>, Evans and King (1985) <doi:10.1016/0304-4076(85)90085-5> and Evans and King (1988) <doi:10.1016/0304-4076(88)90006-1>, Glejser (1969) <doi:10.1080/01621459.1969.10500976> as formulated by Mittelhammer, Judge and Miller (2000, ISBN: 0-521-62394-4), Godfrey and Orme (1999) <doi:10.1080/07474939908800438>, Goldfeld and Quandt (1965) <doi:10.1080/01621459.1965.10480811>, Harvey (1976) <doi:10.2307/1913974>, Honda (1989) <doi:10.1111/j.2517-6161.1989.tb01749.x>, Horn (1981) <doi:10.1080/03610928108828074>, Li and Yao (2019) <doi:10.1016/j.ecosta.2018.01.001> with and without the modification of Bai, Pan, and Yin (2016) <doi:10.1007/s11749-017-0575-x>, Rackauskas and Zuokas (2007) <doi:10.1007/s10986-007-0018-6>, Simonoff and Tsai (1994) <doi:10.2307/2986026> with and without the modification of Ferrari, Cysneiros, and Cribari-Neto (2004) <doi:10.1016/S0378-3758(03)00210-6>, Szroeter (1978) <doi:10.2307/1913831>, Verbyla (1993) <doi:10.1111/j.2517-6161.1993.tb01918.x>, White (1980) <doi:10.2307/1912934>, Wilcox and Keselman (2006) <doi:10.1080/10629360500107923>, and Zhou, Song, and Thompson (2015) <doi:10.1002/cjs.11252>. Besides these heteroskedasticity tests, there are supporting functions that compute the BLUS residuals of Theil (1965) <doi:10.1080/01621459.1965.10480851>, the conditional two-sided p-values of Kulinskaya (2008) <arXiv:0810.2124v1>, and probabilities for the nonparametric trend statistic of Lehmann (1975, ISBN: 0-816-24996-1). Homoskedasticity refers to the assumption of constant variance that is imposed on the model errors (disturbances); heteroskedasticity is the violation of this assumption.
Author: Thomas Farrar [aut, cre] (<https://orcid.org/0000-0003-0744-6972>), University of the Western Cape [cph]
Maintainer: Thomas Farrar <tjfarrar@alumni.uwaterloo.ca>

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Permanent link

New package rsoi with initial version 0.5.4
Type: Package
Package: rsoi
Title: Import Various Northern and Southern Hemisphere Climate Indices
Version: 0.5.4
Authors@R: c(person(given = "Sam", family = "Albers", role = c("aut", "cre"), email = "sam.albers@gmail.com"), person(given = "Elio", family = "Campitelli", role = "ctb", email = "elio.campitelli@cima.fcen.uba.ar"))
Description: Downloads Southern Oscillation Index, Oceanic Nino Index, North Pacific Gyre Oscillation data, North Atlantic Oscillation and Arctic Oscillation. Data sources are described in the help files for each function.
License: GPL-3
URL: https://github.com/boshek/rsoi, https://boshek.github.io/rsoi/
Depends: R (>= 3.3.0)
Imports: curl, memoise, stats, utils
Suggests: testthat (>= 2.1.0), tibble
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-08-10 17:46:42 UTC; SALBERS
Author: Sam Albers [aut, cre], Elio Campitelli [ctb]
Maintainer: Sam Albers <sam.albers@gmail.com>
Repository: CRAN
Date/Publication: 2020-08-11 15:00:03 UTC

More information about rsoi at CRAN
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Package RcppSimdJson updated to version 0.1.1 with previous version 0.1.0 dated 2020-07-07

Title: 'Rcpp' Bindings for the 'simdjson' Header-Only Library for 'JSON' Parsing
Description: The 'JSON' format is ubiquitous for data interchange, and the 'simdjson' library written by Daniel Lemire (and many contributors) provides a high-performance parser for these files which by relying on parallel 'SIMD' instruction manages to parse these files as faster than disk speed. See the <arXiv:1902.08318> paper for more details about 'simdjson'. This package is at present still a fairly thin and not fully complete wrapper that does not aim to replace the existing and excellent 'JSON' packages for R.
Author: Dirk Eddelbuettel, Brendan Knapp
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppSimdJson versions 0.1.0 dated 2020-07-07 and 0.1.1 dated 2020-08-11

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Package MendelianRandomization updated to version 0.4.3 with previous version 0.4.2 dated 2020-02-25

Title: Mendelian Randomization Package
Description: Encodes several methods for performing Mendelian randomization analyses with summarized data. Summarized data on genetic associations with the exposure and with the outcome can be obtained from large consortia. These data can be used for obtaining causal estimates using instrumental variable methods.
Author: Olena Yavorska <olena.yavorska@ludwig.ox.ac.uk> James Staley <james.staley@bristol.ac.uk>
Maintainer: Stephen Burgess <sb452@medschl.cam.ac.uk>

Diff between MendelianRandomization versions 0.4.2 dated 2020-02-25 and 0.4.3 dated 2020-08-11

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Package fdaACF updated to version 0.2.0 with previous version 0.1.0 dated 2020-01-24

Title: Autocorrelation Function for Functional Time Series
Description: Quantify the serial correlation across lags of a given functional time series using an autocorrelation function and a partial autocorrelation function for functional time series. The autocorrelation functions are based on the L2 norm of the lagged covariance operators of the series. Functions are available for estimating the distribution of the autocorrelation functions under the assumption of strong functional white noise.
Author: Guillermo Mestre Marcos [aut, cre], José Portela González [aut], Gregory Rice [aut], Antonio Muñoz San Roque [ctb], Estrella Alonso Pérez [ctb]
Maintainer: Guillermo Mestre Marcos <guillermo.mestre@comillas.edu>

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Package collapse updated to version 1.3.0 with previous version 1.2.1 dated 2020-05-26

Title: Advanced and Fast Data Transformation
Description: A C/C++ based package for advanced data transformation and statistical computing in R that is extremely fast, flexible and parsimonious to code with and programmer friendly. It is well integrated with 'dplyr', 'plm' and 'data.table'. --- Key Features: --- (1) Advanced statistical programming: A full set of fast statistical functions supporting grouped and weighted computations on vectors, matrices and data frames. Fast and programmable grouping, ordering, unique values / rows, factor generation and interactions. Fast and flexible functions for data manipulation and data object conversions. (2) Advanced aggregation: Fast and easy multi-data-type, multi-function, weighted, parallelized and fully customized data aggregation. (3) Advanced transformations: Fast (grouped) replacing and sweeping out of statistics, and (grouped, weighted) scaling / standardizing, between (averaging) and (quasi-)within (centering / demeaning) transformations, higher-dimensional centering (i.e. multiple fixed effects transformations), linear prediction and partialling-out. (4) Advanced time-computations: Fast (sequences of) lags / leads, and (lagged / leaded, iterated, quasi-, log-) differences and growth rates on (unordered) time series and panel data. Multivariate auto-, partial- and cross-correlation functions for panel data. Panel data to (ts-)array conversions. (5) List processing: (Recursive) list search / identification, extraction / subsetting, data-apply, and generalized row-binding / unlisting in 2D. (6) Advanced data exploration: Fast (grouped, weighted, panel-decomposed) summary statistics for complex multilevel / panel data.
Author: Sebastian Krantz [aut, cre], Matt Dowle [ctb], Arun Srinivasan [ctb], Simen Gaure [ctb], Dirk Eddelbuettel [ctb], R Core Team and contributors worldwide [ctb], Martyn Plummer [cph], 1999-2016 The R Core Team [cph]
Maintainer: Sebastian Krantz <sebastian.krantz@graduateinstitute.ch>

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Package soundgen updated to version 1.8.0 with previous version 1.7.0 dated 2020-05-24

Title: Sound Synthesis and Acoustic Analysis
Description: Performs parametric synthesis of sounds with harmonic and noise components such as animal vocalizations or human voice. Also offers tools for spectral analysis, audio segmentation, self-similarity matrices, modulation spectra, morphing, etc., as well as interactive web apps for manually corrected pitch tracking and formant measurement. Reference: Anikin (2019) <doi:10.3758/s13428-018-1095-7>.
Author: Andrey Anikin [aut, cre]
Maintainer: Andrey Anikin <rty.anik@rambler.ru>

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More information about soundgen at CRAN
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Package rplum updated to version 0.1.5.1 with previous version 0.1.4 dated 2020-05-04

Title: Bayesian Age-Depth Modelling of Cores Dated by Pb-210
Description: An approach to age-depth modelling that uses Bayesian statistics to reconstruct accumulation histories for 210Pb-dated deposits using prior information. It can combine 210Pb, radiocarbon, and other dates in the chronologies. See Aquino et al. (2018) <doi:10.1007/s13253-018-0328-7>. Note that parts of the code underlying 'rplum' are derived from the 'rbacon' package by the same authors. Subsequent versions of 'rplum' and 'rbacon' are planned to reduce duplication, with 'rplum' importing 'rbacon' instead.
Author: Maarten Blaauw [aut, cre], J. Andres Christen [aut, ctb, cph], Marco A. Aquino-Lopez [aut], Judith Esquivel-Vazquez [ctb], Oscar M. Gonzalez V. [ctb], Ted Belding [cph], James Theiler [cph], Brian Gough [cph], Charles Karney [cph]
Maintainer: Maarten Blaauw <maarten.blaauw@qub.ac.uk>

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Package ps updated to version 1.3.4 with previous version 1.3.3 dated 2020-05-08

Title: List, Query, Manipulate System Processes
Description: List, query and manipulate all system processes, on 'Windows', 'Linux' and 'macOS'.
Author: Jay Loden [aut], Dave Daeschler [aut], Giampaolo Rodola' [aut], Gábor Csárdi [aut, cre], RStudio [cph]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

Diff between ps versions 1.3.3 dated 2020-05-08 and 1.3.4 dated 2020-08-11

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New package neonstore with initial version 0.1.2
Package: neonstore
Title: NEON Data Store
Version: 0.1.2
Authors@R: c(person( "Carl", "Boettiger", email = "cboettig@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-1642-628X")), person("Quinn", "Thomas", role = "ctb"), person("Christine", "Laney", role = "aut", comment = c("ORCID" = "0000-0002-4944-2083")) )
Description: The National Ecological Observatory Network (NEON) provides access to its numerous data products through its REST API, <https://data.neonscience.org/data-api/>. This package provides a high-level user interface for downloading and storing NEON data products. While each of NEON data products consist of hundreds or thousands of individual files. Unlike 'neonUtilities', this package will avoid repeated downloading, provides persistent storage, and improves performance. This package does not provide expose interactions with the individual low-level NEON API endpoints.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: httr, jsonlite, rappdirs, progress, vroom, utils, curl, openssl, tibble, stats, zip
RoxygenNote: 7.1.1
Suggests: testthat, covr, xml2, spelling
Language: en-US
NeedsCompilation: no
Packaged: 2020-08-11 05:34:17 UTC; cboettig
Author: Carl Boettiger [aut, cre] (<https://orcid.org/0000-0002-1642-628X>), Quinn Thomas [ctb], Christine Laney [aut] (<https://orcid.org/0000-0002-4944-2083>)
Maintainer: Carl Boettiger <cboettig@gmail.com>
Repository: CRAN
Date/Publication: 2020-08-11 14:50:02 UTC

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Permanent link

Package motifcluster updated to version 0.1.1 with previous version 0.1.0 dated 2020-05-18

Title: Motif-Based Spectral Clustering of Weighted Directed Networks
Description: Tools for spectral clustering of weighted directed networks using motif adjacency matrices. Methods perform well on large and sparse networks, and random sampling methods for generating weighted directed networks are also provided. Based on methodology detailed in Underwood, Elliott and Cucuringu (2020) <arXiv:2004.01293>.
Author: William George Underwood [aut, cre]
Maintainer: William George Underwood <wgu2@princeton.edu>

Diff between motifcluster versions 0.1.0 dated 2020-05-18 and 0.1.1 dated 2020-08-11

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New package microcontax with initial version 1.2
Encoding: UTF-8
Package: microcontax
Type: Package
Title: The ConTax Data Package
Version: 1.2
Date: 2020-08-10
Author: Hilde Vinje, Kristian Hovde Liland, Lars Snipen.
Maintainer: Lars Snipen <lars.snipen@nmbu.no>
Description: The consensus taxonomy for prokaryotes is a set of data-sets for best possible taxonomic classification based on 16S rRNA sequence data.
License: GPL-2
Depends: R (>= 3.5.0)
Imports: microseq
Suggests: microcontax.data
Additional_repositories: https://khliland.github.io/drat/
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-08-11 13:19:00 UTC; larssn
Repository: CRAN
Date/Publication: 2020-08-11 14:50:06 UTC

More information about microcontax at CRAN
Permanent link

Package mapview updated to version 2.9.0 with previous version 2.7.8 dated 2020-04-07

Title: Interactive Viewing of Spatial Data in R
Description: Quickly and conveniently create interactive visualisations of spatial data with or without background maps. Attributes of displayed features are fully queryable via pop-up windows. Additional functionality includes methods to visualise true- and false-color raster images and bounding boxes.
Author: Tim Appelhans [cre, aut], Florian Detsch [aut], Christoph Reudenbach [aut], Stefan Woellauer [aut], Spaska Forteva [ctb], Thomas Nauss [ctb], Edzer Pebesma [ctb], Kenton Russell [ctb], Michael Sumner [ctb], Jochen Darley [ctb], Pierre Roudier [ctb], Patrick Schratz [ctb], Environmental Informatics Marburg [ctb], Lorenzo Busetto [ctb]
Maintainer: Tim Appelhans <tim.appelhans@gmail.com>

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Package lrgs updated to version 0.5.4 with previous version 0.5.3 dated 2017-12-01

Title: Linear Regression by Gibbs Sampling
Description: Implements a Gibbs sampler to do linear regression with multiple covariates, multiple responses, Gaussian measurement errors on covariates and responses, Gaussian intrinsic scatter, and a covariate prior distribution which is given by either a Gaussian mixture of specified size or a Dirichlet process with a Gaussian base distribution. Described further in Mantz (2016) <DOI:10.1093/mnras/stv3008>.
Author: Adam Mantz
Maintainer: Adam Mantz <amantz@slac.stanford.edu>

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Package ioncopy updated to version 2.2.2 with previous version 2.1.1 dated 2018-03-23

Title: Calling Copy Number Alterations in Amplicon Sequencing Data
Description: Method for the calculation of copy numbers and calling of copy number alterations. The algorithm uses coverage data from amplicon sequencing of a sample cohort as input. The method includes significance assessment, correction for multiple testing and does not depend on normal DNA controls. Budczies (2016 Mar 15) <doi:10.18632/oncotarget.7451>.
Author: Jan Budczies, Eva Romanovsky
Maintainer: Jan Budczies <jan.budczies@med.uni-heidelberg.de>

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Package ehaGoF updated to version 0.1.1 with previous version 0.1.0 dated 2019-11-19

Title: Calculates Goodness of Fit Statistics
Description: Calculates 15 different goodness of fit criteria. These are; standard deviation ratio (SDR), coefficient of variation (CV), relative root mean square error (RRMSE), Pearson's correlation coefficients (PC), root mean square error (RMSE), performance index (PI), mean error (ME), global relative approximation error (RAE), mean relative approximation error (MRAE), mean absolute percentage error (MAPE), mean absolute deviation (MAD), coefficient of determination (R-squared), adjusted coefficient of determination (adjusted R-squared), Akaike's information criterion (AIC), corrected Akaike's information criterion (CAIC), Mean Square Error (MSE), Bayesian Information Criterion (BIC) and Normalized Mean Square Error (NMSE).
Author: Alper Gulbe [cre], Ecevit Eyduran [aut]
Maintainer: Alper Gulbe <alper.gulbe@igdir.edu.tr>

Diff between ehaGoF versions 0.1.0 dated 2019-11-19 and 0.1.1 dated 2020-08-11

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Package DisImpact updated to version 0.0.11 with previous version 0.0.10 dated 2020-08-10

Title: Calculates Disproportionate Impact When Binary Success Data are Disaggregated by Subgroups
Description: Implements methods for calculating disproportionate impact: the percentage point gap, proportionality index, and the 80% index. California Community Colleges Chancellor's Office (2017). Percentage Point Gap Method. <https://www.cccco.edu/-/media/CCCCO-Website/About-Us/Divisions/Digital-Innovation-and-Infrastructure/Research/Files/PercentagePointGapMethod2017.ashx>. California Community Colleges Chancellor's Office (2014). Guidelines for Measuring Disproportionate Impact in Equity Plans. <https://www.cccco.edu/-/media/CCCCO-Website/Files/DII/guidelines-for-measuring-disproportionate-impact-in-equity-plans-tfa-ada.pdf>.
Author: Vinh Nguyen [aut, cre]
Maintainer: Vinh Nguyen <nguyenvq714@gmail.com>

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Package crandep updated to version 0.1.0 with previous version 0.0.2 dated 2020-07-19

Title: Network Analysis of Dependencies of CRAN Packages
Description: The dependencies of CRAN packages can be analysed in a network fashion. For each package we can obtain the packages that it depends, imports, suggests, etc. By iterating this procedure over a number of packages, we can build, visualise, and analyse the dependency network, enabling us to have a bird's-eye view of the CRAN ecosystem. One aspect of interest is the number of reverse dependencies of the packages, or equivalently the in-degree distribution of the dependency network. This can be fitted by the power law and/or an extreme value mixture distribution <arXiv:2008.03073>, of which functions are provided.
Author: Clement Lee [aut, cre]
Maintainer: Clement Lee <clement.lee.tm@outlook.com>

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Package cpp11 updated to version 0.2.1 with previous version 0.2.0 dated 2020-08-10

Title: A C++11 Interface for R's C Interface
Description: Provides a header only, C++11 interface to R's C interface. Compared to other approaches 'cpp11' strives to be safe against long jumps from the C API as well as C++ exceptions, conform to normal R function semantics and supports interaction with 'ALTREP' vectors.
Author: Jim Hester [aut, cre] (<https://orcid.org/0000-0002-2739-7082>), Romain François [ctb], Benjamin Kietzman [ctb], RStudio [cph, fnd]
Maintainer: Jim Hester <jim.hester@rstudio.com>

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New package babette with initial version 2.1.4
Package: babette
Title: Control 'BEAST2'
Version: 2.1.4
Authors@R: c( person("Richèl J.C.", "Bilderbeek", email = "richel@richelbilderbeek.nl", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-1107-7049")), person("Joëlle", "Barido-Sottani", role = "rev", comment = "Joëlle reviewed the package for rOpenSci, see https://github.com/richelbilderbeek/onboarding/issues/209"), person("David", "Winter", role = "rev", comment = "David reviewed the package for rOpenSci, see https://github.com/richelbilderbeek/onboarding/issues/209"), person("Giovanni", "Laudanno", email = "glaudanno@gmail.com", role = "ctb"))
Maintainer: Richèl J.C. Bilderbeek <richel@richelbilderbeek.nl>
Description: 'BEAST2' (<https://www.beast2.org>) is a widely used Bayesian phylogenetic tool, that uses DNA/RNA/protein data and many model priors to create a posterior of jointly estimated phylogenies and parameters. 'BEAST2' is commonly accompanied by 'BEAUti 2', 'Tracer' and 'DensiTree'. 'babette' provides for an alternative workflow of using all these tools separately. This allows doing complex Bayesian phylogenetics easily and reproducibly from 'R'.
License: GPL-3
LazyData: true
RoxygenNote: 7.1.1
VignetteBuilder: knitr
Depends: R (>= 3.5.0), beautier (>= 2.3.5), beastier (>= 2.1.3), mauricer, tracerer
Imports: phangorn, remotes, stringr, testit, xml2
Suggests: ape, ggplot2, hunspell, knitr, lintr, nLTT, rappdirs, rmarkdown, spelling, testthat (>= 2.1.0)
Language: en-US
Encoding: UTF-8
SystemRequirements: BEAST2 (https://www.beast2.org/)
NeedsCompilation: no
Packaged: 2020-08-11 07:42:53 UTC; richel
Author: Richèl J.C. Bilderbeek [aut, cre] (<https://orcid.org/0000-0003-1107-7049>), Joëlle Barido-Sottani [rev] (Joëlle reviewed the package for rOpenSci, see https://github.com/richelbilderbeek/onboarding/issues/209), David Winter [rev] (David reviewed the package for rOpenSci, see https://github.com/richelbilderbeek/onboarding/issues/209), Giovanni Laudanno [ctb]
Repository: CRAN
Date/Publication: 2020-08-11 14:30:20 UTC

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Package nngeo updated to version 0.3.9 with previous version 0.3.8 dated 2020-06-10

Title: k-Nearest Neighbor Join for Spatial Data
Description: K-nearest neighbor search for projected and non-projected 'sf' spatial layers. Nearest neighbor search uses (1) C code from 'GeographicLib' for lon-lat point layers, (2) function nn2() from package 'RANN' for projected point layers, or (3) function st_distance() from package 'sf' for line or polygon layers. The package also includes several other utility functions for spatial analysis.
Author: Michael Dorman [aut, cre], Johnathan Rush [ctb], Ian Hough [ctb], Dominic Russel [ctb], Charles F.F Karney [ctb, cph] (Author of included C code from 'GeographicLib' for geodesic distance)
Maintainer: Michael Dorman <dorman@post.bgu.ac.il>

Diff between nngeo versions 0.3.8 dated 2020-06-10 and 0.3.9 dated 2020-08-11

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New package stat.extend with initial version 0.1.1
Package: stat.extend
Type: Package
Title: Highest Density Regions and Other Functions of Distributions
Version: 0.1.1
Authors@R: c( person("Ben", "O'Neill", email = "ben.oneill@hotmail.com", role = c("aut", "cph")), person("Neal", "Fultz", email = "nfultz@gmail.com", role = c("cre","ctb")) )
Copyright: Ben O'Neill 2020
Description: Highest Density Regions are the smallest set in the support of a probability distribution with the specified coverage probability. 'HDRs' may contain disjoint intervals, but can be calculated efficiently using iterative methods. One can similarly construct optimal (i.e., shortest) confidence intervals for some basic inferential problems, including for population means, variances, or proportion parameters.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: sets
Suggests: extraDistr, invgamma, VGAM
RoxygenNote: 7.0.2
NeedsCompilation: no
Packaged: 2020-08-05 17:51:07 UTC; nfultz
Author: Ben O'Neill [aut, cph], Neal Fultz [cre, ctb]
Maintainer: Neal Fultz <nfultz@gmail.com>
Repository: CRAN
Date/Publication: 2020-08-11 12:30:02 UTC

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New package KnockoffScreen with initial version 0.1.0
Package: KnockoffScreen
Type: Package
Title: Whole-Genome Sequencing Data Analysis via Knockoff Statistics
Version: 0.1.0
Date: 2020-07-29
Author: Zihuai He <zihuai@stanford.edu>
Maintainer: Zihuai He <zihuai@stanford.edu>
Description: Functions for identification of putative causal loci in whole-genome sequencing data. The functions allow genome-wide association scan. It also includes an efficient knockoff generator for genetic data.
License: GPL-3
Depends: R(>= 3.5.0), Matrix, seqminer
Imports: CompQuadForm, data.table, SPAtest
NeedsCompilation: no
Packaged: 2020-08-05 15:24:54 UTC; zhe
Repository: CRAN
Date/Publication: 2020-08-11 12:02:07 UTC

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Package gets updated to version 0.25 with previous version 0.24 dated 2020-07-28

Title: General-to-Specific (GETS) Modelling and Indicator Saturation Methods
Description: Automated General-to-Specific (GETS) modelling of the mean and variance of a regression, and indicator saturation methods for detecting and testing for structural breaks in the mean, see Pretis, Reade and Sucarrat (2018) <doi:10.18637/jss.v086.i03>.
Author: Genaro Sucarrat [aut, cre], Felix Pretis [aut], James Reade [aut], Jonas Kurle [ctb], Moritz Schwarz [ctb]
Maintainer: Genaro Sucarrat <genaro.sucarrat@bi.no>

Diff between gets versions 0.24 dated 2020-07-28 and 0.25 dated 2020-08-11

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Package bqror updated to version 0.1.1 with previous version 0.1.0 dated 2020-02-26

Title: Bayesian Quantile Regression for Ordinal Models
Description: Provides an estimation technique for Bayesian quantile regression in ordinal models. Two algorithms are considered - one for an ordinal model with three outcomes and the other for an ordinal model with more than 3 outcomes. It further provides model performance criteria and trace plots for Markov chain Monte Carlo (MCMC) draws. Rahman, M. A. (2016) <doi:10.1214/15-BA939>. Greenberg, E. (2012) <doi:10.1017/CBO9781139058414>. Spiegelhalter, D. J., Best, N. G., Carlin B. P. and Linde A. (2002) <doi:10.1111/1467-9868.00353>.
Author: Dr. Mohammad Arshad Rahman Developer [aut], Prajual Maheshwari [cre]
Maintainer: Prajual Maheshwari <prajual1391@gmail.com>

Diff between bqror versions 0.1.0 dated 2020-02-26 and 0.1.1 dated 2020-08-11

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New package AEP with initial version 0.1.1
Package: AEP
Type: Package
Title: Statistical Modelling for Asymmetric Exponential Power Distribution
Author: Mahdi Teimouri
Maintainer: Mahdi Teimouri <teimouri@aut.ac.ir>
Description: Developed for Computing the probability density function, cumulative distribution function, random generation, estimating the parameters of asymmetric exponential power distribution, and robust regression analysis with error term that follows asymmetric exponential power distribution.
Encoding: UTF-8
License: GPL (>= 2)
Depends: R(>= 3.3.0)
Repository: CRAN
Version: 0.1.1
Date: 2020-08-04
NeedsCompilation: no
Packaged: 2020-08-08 03:04:03 UTC; NikPardaz
Date/Publication: 2020-08-11 09:02:06 UTC

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New package xtreg2way with initial version 1.0.0
Package: xtreg2way
Type: Package
Title: Feasible Estimation of the Two-Way Fixed Effect Model
Version: 1.0.0
Authors@R: c( person("Paulo", "Somaini", email = "soma@stanford.edu", role = c("aut", "cre","cph")), person("Frank", "Wolak", email= "wolak@stanford.edu", role=c("aut")), person("Brian", "Chivers", email = "bchivers@stanford.edu", role = c("aut")))
Description: Implemented is an algorithm to estimate the two-way fixed effect linear model. The coefficients of interest are computed using the residuals from the projection of all variables on the two sets of fixed effects. Our algorithm has three desirable features. First, it manages memory and computational resources efficiently which speeds up the computation of the estimates. Second, it allows the researcher to estimate multiple specifications using the same set of fixed effects at a very low computational cost. Third, the asymptotic variance of the parameters of interest can be consistently estimated using standard routines on the residualized data. Somaini P., Wolak F. A. (2016) <doi:10.1515/jem-2014-0008> Arellano, M. (1987) <https://ideas.repec.org/a/bla/obuest/v49y1987i4p431-34.html>.
License: MIT + file LICENSE
URL: https://github.com/paulosomaini/xtreg2way
Encoding: UTF-8
LazyData: true
Imports: pracma, Matrix, stats, MASS
RoxygenNote: 7.1.1
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-08-04 22:10:06 UTC; chivers
Author: Paulo Somaini [aut, cre, cph], Frank Wolak [aut], Brian Chivers [aut]
Maintainer: Paulo Somaini <soma@stanford.edu>
Repository: CRAN
Date/Publication: 2020-08-11 08:40:03 UTC

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New package provTraceR with initial version 1.0
Package: provTraceR
Title: Uses Provenance to Trace File Lineage for One or more R Scripts
Version: 1.0
Date: 2020-08-04
Authors@R: c( person("Emery", "Boose", role = "cre", email = "boose@fas.harvard.edu"), person("Barbara", "Lerner", role = "aut", email = "blerner@mtholyoke.edu"), person("President and Fellows of Harvard College", role = "cph"), person("Trustees of Mount Holyoke College", role = "cph") )
Description: Uses provenance collected by 'rdtLite' package or comparable tool to display information about input files, output files, and exchanged files for a single R script or a series of R scripts.
Depends: R (>= 3.5)
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: provParseR (>= 0.3)
Suggests: digest, knitr, rdt, rdtLite, rmarkdown, testthat
Additional_repositories: https://end-to-end-provenance.github.io/drat/
URL: https://github.com/End-to-end-provenance
BugReports: https://github.com/End-to-end-provenance/provTraceR/issues
RoxygenNote: 7.1.0
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-08-04 14:17:11 UTC; boose
Author: Emery Boose [cre], Barbara Lerner [aut], President and Fellows of Harvard College [cph], Trustees of Mount Holyoke College [cph]
Maintainer: Emery Boose <boose@fas.harvard.edu>
Repository: CRAN
Date/Publication: 2020-08-11 08:10:02 UTC

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Package ggdendro updated to version 0.1.21 with previous version 0.1-20 dated 2016-04-27

Title: Create Dendrograms and Tree Diagrams Using 'ggplot2'
Description: This is a set of tools for dendrograms and tree plots using 'ggplot2'. The 'ggplot2' philosophy is to clearly separate data from the presentation. Unfortunately the plot method for dendrograms plots directly to a plot device without exposing the data. The 'ggdendro' package resolves this by making available functions that extract the dendrogram plot data. The package provides implementations for 'tree', 'rpart', as well as diana and agnes (from 'cluster') diagrams.
Author: Andrie de Vries [aut, cre], Brian D. Ripley [aut] (author of package tree)
Maintainer: Andrie de Vries <apdevries@gmail.com>

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Package SOMbrero updated to version 1.3-1 with previous version 1.3 dated 2020-06-08

Title: SOM Bound to Realize Euclidean and Relational Outputs
Description: The stochastic (also called on-line) version of the Self-Organising Map (SOM) algorithm is provided. Different versions of the algorithm are implemented, for numeric and relational data and for contingency tables as described, respectively, in Kohonen (2001) <isbn:3-540-67921-9>, Olteanu & Villa-Vialaneix (2005) <doi:10.1016/j.neucom.2013.11.047> and Cottrell et al (2004) <doi:10.1016/j.neunet.2004.07.010>. The package also contains many plotting features (to help the user interpret the results) and a graphical user interface based on 'shiny'.
Author: Nathalie Vialaneix [aut, cre], Elise Maigne [aut], Jerome Mariette [aut], Madalina Olteanu [aut], Fabrice Rossi [aut], Laura Bendhaiba [ctb], Julien Boelaert [ctb]
Maintainer: Nathalie Vialaneix <nathalie.vialaneix@inrae.fr>

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New package Require with initial version 0.0.6
Package: Require
Type: Package
Title: Installing and Loading R Packages for Reproducible Workflows
Description: A single key function, 'Require' that wraps 'install.packages', 'remotes::install_github', 'versions::install.versions', and 'base::require' that allows for reproducible workflows. As with other functions in a reproducible workflow, this package emphasizes functions that return the same result whether it is the first or subsequent times running the function.
URL: http://Require.predictiveecology.org, https://github.com/PredictiveEcology/Require
Date: 2020-08-04
Version: 0.0.6
Authors@R: c( person("Eliot J B", "McIntire", email = "eliot.mcintire@canada.ca", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-6914-8316")), person("Her Majesty the Queen in Right of Canada, as represented by the Minister of Natural Resources Canada", role = "cph") )
Depends: R (>= 3.5)
Imports: data.table (>= 1.10.4), methods, remotes, utils
Suggests: testit
Encoding: UTF-8
Language: en-CA
License: GPL-3
BugReports: https://github.com/PredictiveEcology/Require/issues
ByteCompile: yes
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-08-05 14:51:46 UTC; achubaty
Author: Eliot J B McIntire [aut, cre] (<https://orcid.org/0000-0002-6914-8316>), Her Majesty the Queen in Right of Canada, as represented by the Minister of Natural Resources Canada [cph]
Maintainer: Eliot J B McIntire <eliot.mcintire@canada.ca>
Repository: CRAN
Date/Publication: 2020-08-11 07:20:03 UTC

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Package epwshiftr updated to version 0.1.1 with previous version 0.1.0 dated 2020-07-07

Title: Create Future 'EnergyPlus' Weather Files using 'CMIP6' Data
Description: Query, download climate change projection data from the 'CMIP6' (Coupled Model Intercomparison Project Phase 6) project <https://pcmdi.llnl.gov/CMIP6/> in the 'ESGF' (Earth System Grid Federation) platform <https://esgf.llnl.gov>, and create future 'EnergyPlus' <https://energyplus.net> Weather ('EPW') files adjusted from climate changes using data from Global Climate Models ('GCM').
Author: Hongyuan Jia [aut, cre] (<https://orcid.org/0000-0002-0075-8183>), Adrian Chong [aut] (<https://orcid.org/0000-0002-9486-4728>)
Maintainer: Hongyuan Jia <hongyuan.jia@bears-berkeley.sg>

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Package choroplethr updated to version 3.7.0 with previous version 3.6.4 dated 2020-07-25

Title: Simplify the Creation of Choropleth Maps in R
Description: Choropleths are thematic maps where geographic regions, such as states, are colored according to some metric, such as the number of people who live in that state. This package simplifies this process by 1. Providing ready-made functions for creating choropleths of common maps. 2. Providing data and API connections to interesting data sources for making choropleths. 3. Providing a framework for creating choropleths from arbitrary shapefiles. 4. Overlaying those maps over reference maps from Google Maps.
Author: Ari Lamstein [aut, cre], Brian Johnson [ctb], Trulia, Inc. [cph]
Maintainer: Ari Lamstein <ari@lamsteinconsulting.com>

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Package rgw updated to version 0.3.0 with previous version 0.1.0 dated 2016-10-10

Title: Goodman-Weare Affine-Invariant Sampling
Description: Implementation of the affine-invariant method of Goodman & Weare (2010) <DOI:10.2140/camcos.2010.5.65>, a method of producing Monte-Carlo samples from a target distribution.
Author: Adam Mantz
Maintainer: Adam Mantz <amantz@slac.stanford.edu>

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Package finch updated to version 0.4.0 with previous version 0.3.0 dated 2019-04-25

Title: Parse Darwin Core Files
Description: Parse and create Darwin Core (<http://rs.tdwg.org/dwc/>) Simple and Archives. Functionality includes reading and parsing all the files in a Darwin Core Archive, including the datasets and metadata; read and parse simple Darwin Core files; and validation of Darwin Core Archives.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>)
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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Package effects updated to version 4.2-0 with previous version 4.1-4 dated 2019-11-15

Title: Effect Displays for Linear, Generalized Linear, and Other Models
Description: Graphical and tabular effect displays, e.g., of interactions, for various statistical models with linear predictors.
Author: John Fox [aut, cre], Sanford Weisberg [aut], Brad Price [aut], Michael Friendly [aut], Jangman Hong [aut], Robert Andersen [ctb], David Firth [ctb], Steve Taylor [ctb], R Core Team [ctb]
Maintainer: John Fox <jfox@mcmaster.ca>

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Package car updated to version 3.0-9 with previous version 3.0-8 dated 2020-05-21

Title: Companion to Applied Regression
Description: Functions to Accompany J. Fox and S. Weisberg, An R Companion to Applied Regression, Third Edition, Sage, 2019.
Author: John Fox [aut, cre], Sanford Weisberg [aut], Brad Price [aut], Daniel Adler [ctb], Douglas Bates [ctb], Gabriel Baud-Bovy [ctb], Ben Bolker [ctb], Steve Ellison [ctb], David Firth [ctb], Michael Friendly [ctb], Gregor Gorjanc [ctb], Spencer Graves [ctb], Richard Heiberger [ctb], Pavel Krivitsky [ctb], Rafael Laboissiere [ctb], Martin Maechler [ctb], Georges Monette [ctb], Duncan Murdoch [ctb], Henric Nilsson [ctb], Derek Ogle [ctb], Brian Ripley [ctb], William Venables [ctb], Steve Walker [ctb], David Winsemius [ctb], Achim Zeileis [ctb], R-Core [ctb]
Maintainer: John Fox <jfox@mcmaster.ca>

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