Tue, 18 May 2021

Package bayesdfa updated to version 1.0.0 with previous version 0.1.7 dated 2021-05-04

Title: Bayesian Dynamic Factor Analysis (DFA) with 'Stan'
Description: Implements Bayesian dynamic factor analysis with 'Stan'. Dynamic factor analysis is a dimension reduction tool for multivariate time series. 'bayesdfa' extends conventional dynamic factor models in several ways. First, extreme events may be estimated in the latent trend by modeling process error with a student-t distribution. Second, alternative constraints (including proportions are allowed). Third, the estimated dynamic factors can be analyzed with hidden Markov models to evaluate support for latent regimes.
Author: Eric J. Ward [aut, cre], Sean C. Anderson [aut], Luis A. Damiano [aut], Michael J. Malick [aut], Mary E. Hunsicker, [ctb], Mike A. Litzow [ctb], Mark D. Scheuerell [ctb], Elizabeth E. Holmes [ctb], Nick Tolimieri [ctb], Trustees of Columbia University [cph]
Maintainer: Eric J. Ward <eric.ward@noaa.gov>

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Package rdrobust updated to version 1.0.2 with previous version 1.0.1 dated 2021-02-24

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 quarto updated to version 0.3 with previous version 0.1 dated 2021-02-09

Title: R Interface to 'Quarto' Markdown Publishing System
Description: Convert R Markdown documents and 'Jupyter' notebooks to a variety of output formats using 'Quarto'.
Author: JJ Allaire [aut, cre] (<https://orcid.org/0000-0003-0174-9868>)
Maintainer: JJ Allaire <jj@rstudio.com>

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Package pBrackets updated to version 1.0.1 with previous version 1.0 dated 2014-10-17

Title: Plot Brackets
Description: Adds different kinds of brackets to a plot, including braces, chevrons, parentheses or square brackets.
Author: Andreas Schulz
Maintainer: Andreas Schulz <ades-s@web.de>

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Package caMST updated to version 0.1.4 with previous version 0.1.3 dated 2019-12-05

Title: Mixed Computerized Adaptive Multistage Testing
Description: Provides functions to more easily analyze computerized adaptive tests. Currently, functions for computerized adaptive tests (CAT), computer adaptive multistage tests (CMT), and mixed computer adaptive multistage tests (McaMST) utilizing CAT item-level adaptation for the initial stage and traditional MST module-level adaptation for the subsequent stages have been created, and a variation of Hybrid computer adaptive MST is planned as well. For an in-depth look at CAT and MST, see Weiss & Kingsbury (1984) <doi:10.1111/j.1745-3984.1984.tb01040.x> and Luecht & Nungester (2000) <doi:10.1007/0-306-47531-6_6> respectively.
Author: Anthony Raborn [aut, cre]
Maintainer: Anthony Raborn <anthony.w.raborn@gmail.com>

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Package mxmmod updated to version 1.1.0 with previous version 1.0.1 dated 2020-03-28

Title: Measurement Model of Derivatives in 'OpenMx'
Description: Provides a convenient interface in 'OpenMx' for building Estabrook's (2015) <doi:10.1037/a0034523> Measurement Model of Derivatives (MMOD).
Author: Kyle D. Husmann [aut, cre], Timothy R. Brick [aut], Ryne Estabrook [aut]
Maintainer: Kyle D. Husmann <kdh38@psu.edu>

Diff between mxmmod versions 1.0.1 dated 2020-03-28 and 1.1.0 dated 2021-05-18

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Package MatrixExtra updated to version 0.1.4 with previous version 0.1.2 dated 2021-05-13

Title: Extra Methods for Sparse Matrices
Description: Extends sparse matrix and vector classes from the 'Matrix' package by providing: (a) Methods and operators that work natively on CSR formats (compressed sparse row, a.k.a. 'RsparseMatrix') such as slicing/sub-setting, assignment, rbind(), mathematical operators for CSR and COO such as addition ("+") or sqrt(), and methods such as diag(); (b) Multi-threaded matrix multiplication and cross-product for many <sparse, dense> types, including the 'float32' type from 'float'; (c) Coercion methods between pairs of classes which are not present in 'Matrix', such as 'dgCMatrix' -> 'ngRMatrix', as well as convenience conversion functions; (d) Utility functions for sparse matrices such as sorting the indices or removing zero-valued entries; (e) Fast transposes that work by outputting in the opposite storage format; (f) Faster replacements for many 'Matrix' methods for all sparse types, such as slicing and elementwise multiplication.
Author: David Cortes [aut, cre, cph], Dmitry Selivanov [cph]
Maintainer: David Cortes <david.cortes.rivera@gmail.com>

Diff between MatrixExtra versions 0.1.2 dated 2021-05-13 and 0.1.4 dated 2021-05-18

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New package magmaR with initial version 1.0.1
Package: magmaR
Title: R-Client for 'Magma' of the 'UCSF Mount Etna Data Library'
Version: 1.0.1
Authors@R: c(person("Daniel", "Bunis", email = "daniel.bunis@ucsf.edu", role=c("aut", "cre")))
Description: A client for interacting with 'magma', the data warehouse of the 'UCSF Mount Etna Data Library'. 'magmaR' includes functions for querying and downloading data from 'magma', in order to enable working with such data in R, as well as for uploading local data to 'magma'.
Depends: R (>= 4.0)
Imports: crul, jsonlite, utils
Suggests: dittoSeq, BiocStyle, vcr, webmockr, testthat, knitr, rmarkdown
License: GPL-2
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-05-17 22:41:46 UTC; danielbunis
Author: Daniel Bunis [aut, cre]
Maintainer: Daniel Bunis <daniel.bunis@ucsf.edu>
Repository: CRAN
Date/Publication: 2021-05-18 15:40:05 UTC

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New package gsignal with initial version 0.3-2
Package: gsignal
Title: Signal Processing
Version: 0.3-2
Date: 2021-05-18
Authors@R: c(person("Geert", "van Boxtel", role = c("aut", "cre"), email = "G.J.M.vanBoxtel@gmail.com", comment = "Maintainer"), person("Tom", "Short", role = "aut", email = "tshort@eprisolutions.com", comment="Author of 'signal' package"), person("Paul", "Kienzle", role = "aut", comment = "Majority of the original sources"), person("Ben", "Abbott", role = "ctb"), person("Juan", "Aguado", role = "ctb"), person("Muthiah", "Annamalai", role = "ctb"), person("Leonardo", "Araujo", role = "ctb"), person("William", "Asquith", role = "ctb"), person("David", "Bateman", role = "ctb"), person("David", "Billinghurst", role = "ctb"), person("Juan Pablo", "Carbajal", role = "ctb"), person("André", "Carezia", role = "ctb"), person("Vincent", "Cautaerts", role = "ctb"), person("Eric", "Chassande-Mottin", role = "ctb"), person("Luca", "Citi", role = "ctb"), person("Dave", "Cogdell", role = "ctb"), person("Carlo", "de Falco", role = "ctb"), person("Carne", "Draug", role = "ctb"), person("Pascal", "Dupuis", role = "ctb"), person("John W.", "Eaton", role = "ctb"), person("R.G.H", "Eschauzier", role = "ctb"), person("Andrew", "Fitting", role = "ctb"), person("Alan J.", "Greenberger", role = "ctb"), person("Mike", "Gross", role = "ctb"), person("Daniel", "Gunyan", role = "ctb"), person("Kai", "Habel", role = "ctb"), person("Kurt", "Hornik", role = "ctb"), person("Jake", "Janovetz", role = "ctb"), person("Alexander", "Klein", role = "ctb"), person("Peter V.", "Lanspeary", role = "ctb"), person("Bill", "Lash", role = "ctb"), person("Friedrich", "Leissh", role = "ctb"), person("Laurent S.", "Mazet", role = "ctb"), person("Mike", "Miller", role = "ctb"), person("Petr", "Mikulik", role = "ctb"), person("Paolo", "Neis", role = "ctb"), person("Georgios", "Ouzounis", role = "ctb"), person("Sylvain", "Pelissier", role = "ctb"), person("Francesco", "Potortì", role = "ctb"), person("Charles", "Praplan", role = "ctb"), person("Lukas F.", "Reichlin", role = "ctb"), person("Tony", "Richardson", role = "ctb"), person("Asbjorn", "Sabo", role = "ctb"), person("Thomas", "Sailer", role = "ctb"), person("Rolf", "Schirmacher", role = "ctb"), person("Rolf", "Schirmacher", role = "ctb"), person("Ivan", "Selesnick", role = "ctb"), person("Julius O.", "Smith III", role = "ctb"), person("Peter L.", "Soendergaard", role = "ctb"), person("Quentin", "Spencer", role = "ctb"), person("Doug", "Stewart", role = "ctb"), person("P.", "Sudeepam", role = "ctb"), person("Stefan", "van der Walt", role = "ctb"), person("Andreas", "Weber", role = "ctb"), person("P.", "Sudeepam", role = "ctb"), person("Andreas", "Weingessel", role = "ctb"))
Description: R implementation of the 'Octave' package 'signal', containing a variety of signal processing tools, such as signal generation and measurement, correlation and convolution, filtering, filter design, filter analysis and conversion, power spectrum analysis, system identification, decimation and sample rate change, and windowing.
Depends: R (>= 3.5.0)
LinkingTo: Rcpp
Imports: pracma, Rcpp, grDevices
License: GPL-3
Encoding: UTF-8
Language: en-US
URL: https://github.com/gjmvanboxtel/gsignal
BugReports: https://github.com/gjmvanboxtel/gsignal/issues
LazyData: true
Suggests: knitr, rmarkdown, testthat, ggplot2, gridExtra, microbenchmark, imager
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2021-05-17 23:59:10 UTC; geert
Author: Geert van Boxtel [aut, cre] (Maintainer), Tom Short [aut] (Author of 'signal' package), Paul Kienzle [aut] (Majority of the original sources), Ben Abbott [ctb], Juan Aguado [ctb], Muthiah Annamalai [ctb], Leonardo Araujo [ctb], William Asquith [ctb], David Bateman [ctb], David Billinghurst [ctb], Juan Pablo Carbajal [ctb], André Carezia [ctb], Vincent Cautaerts [ctb], Eric Chassande-Mottin [ctb], Luca Citi [ctb], Dave Cogdell [ctb], Carlo de Falco [ctb], Carne Draug [ctb], Pascal Dupuis [ctb], John W. Eaton [ctb], R.G.H Eschauzier [ctb], Andrew Fitting [ctb], Alan J. Greenberger [ctb], Mike Gross [ctb], Daniel Gunyan [ctb], Kai Habel [ctb], Kurt Hornik [ctb], Jake Janovetz [ctb], Alexander Klein [ctb], Peter V. Lanspeary [ctb], Bill Lash [ctb], Friedrich Leissh [ctb], Laurent S. Mazet [ctb], Mike Miller [ctb], Petr Mikulik [ctb], Paolo Neis [ctb], Georgios Ouzounis [ctb], Sylvain Pelissier [ctb], Francesco Potortì [ctb], Charles Praplan [ctb], Lukas F. Reichlin [ctb], Tony Richardson [ctb], Asbjorn Sabo [ctb], Thomas Sailer [ctb], Rolf Schirmacher [ctb], Rolf Schirmacher [ctb], Ivan Selesnick [ctb], Julius O. Smith III [ctb], Peter L. Soendergaard [ctb], Quentin Spencer [ctb], Doug Stewart [ctb], P. Sudeepam [ctb], Stefan van der Walt [ctb], Andreas Weber [ctb], P. Sudeepam [ctb], Andreas Weingessel [ctb]
Maintainer: Geert van Boxtel <G.J.M.vanBoxtel@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-18 15:40:08 UTC

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Package geos updated to version 0.1.1 with previous version 0.1.0 dated 2021-05-03

Title: Open Source Geometry Engine ('GEOS') R API
Description: Provides an R API to the Open Source Geometry Engine ('GEOS') library (<https://trac.osgeo.org/geos/>) and a vector format with which to efficiently store 'GEOS' geometries. High-performance functions to extract information from, calculate relationships between, and transform geometries are provided. Finally, facilities to import and export geometry vectors to other spatial formats are provided.
Author: Dewey Dunnington [aut, cre] (<https://orcid.org/0000-0002-9415-4582>), Edzer Pebesma [aut] (<https://orcid.org/0000-0001-8049-7069>)
Maintainer: Dewey Dunnington <dewey@fishandwhistle.net>

Diff between geos versions 0.1.0 dated 2021-05-03 and 0.1.1 dated 2021-05-18

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New package diathor with initial version 0.0.6
Package: diathor
Title: Calculate Ecological Information and Diatom Based Indices
Version: 0.0.6
Authors@R: c( person("María Mercedes", "Nicolosi Gelis", email = "mercedesnicolosi@ilpla.edu.ar", role = "aut", comment = c(ORCID = "0000-0001-6324-7930")), person("María Belén", "Sathicq", email = "mbelen@ilpla.edu.ar", role = "aut", comment = c(ORCID = "0000-0002-3534-8950")), person("Joaquín", "Cochero", email = "jcochero@ilpla.edu.ar", role = "cre", comment = c(ORCID = "0000-0003-3957-6819")))
Maintainer: Joaquín Cochero <jcochero@ilpla.edu.ar>
Description: Calculates ecological information and biotic indices for diatoms in a sample. It includes number/shape of chloroplasts diversity indices, size classes, ecological guilds, and multiple biotic indices. It outputs both a dataframe with all the results and plots of all the obtained data in a defined output folder. Sample data was taken from Nicolosi Gelis, Cochero & Gómez (2020, <doi:10.1016/j.ecolind.2019.105951>). The package uses the 'Diat.Barcode' database to calculate morphological and ecological information by Rimet & Couchez (2012, <doi:10.1051/kmae/2012018>), and calculates the DES index by Descy (1979, <http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=PASCAL8060205402>), the EPID index by Dell'Uomo (1996, ISBN: 3950009002), the IDAP index by Prygiel & Coste (1993, <doi:10.1007/BF00028033>), the ID-CH index by Hürlimann & Niederhauser (2007, <https://www.bafu.admin.ch/bafu/fr/home/themes/eaux/publications/publications-eaux/methodes-analyse-appreciation-cours-eau-diatomees.html>), the IDP index by Gómez & Licursi (2001, <doi:10.1023/A:1011415209445>), the ILM index by Leclercq & Maquet (1987, <http://www.vliz.be/imisdocs/publications/286641.pdf>), the IPS index by Coste (1982, <https://www.oieau.org/eaudoc/notice/ETUDE-DES-METHODES-BIOLOGIQUES-DAPPRECIATION-QUANTITATIVE-DE-LA-QUALITE-DES-EAUX>), the LOBO index by Lobo, Callegaro, & Bender (2002, ISBN:9788585869908), the SLA by Sládeček (1986, <doi:10.1002/aheh.19860140519>), the TDI index by Kelly, & Whitton (1995, <doi:10.1007/BF00003802>), and the SPEAR(herbicide) index by Wood, Mitrovic, Lim, Warne, Dunlop, & Kefford (2019, <doi:10.1016/j.ecolind.2018.12.035>).
License: GNU General Public License
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10), stringdist, vegan, ggplot2, tidyr
Imports: data.table, purrr, stringr, tibble
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2021-05-17 20:07:49 UTC; Juaco
Author: María Mercedes Nicolosi Gelis [aut] (<https://orcid.org/0000-0001-6324-7930>), María Belén Sathicq [aut] (<https://orcid.org/0000-0002-3534-8950>), Joaquín Cochero [cre] (<https://orcid.org/0000-0003-3957-6819>)
Repository: CRAN
Date/Publication: 2021-05-18 15:40:19 UTC

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Package spANOVA (with last version 0.99.2) was removed from CRAN

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

2020-02-25 0.99.2

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

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

2021-05-18 1.0.0

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New package SimplyAgree with initial version 0.0.2
Package: SimplyAgree
Title: Flexible and Robust Agreement and Reliability Analyses
Version: 0.0.2
Authors@R: person("Aaron", "Caldwell", email = "arcaldwell49@gmail.com", role = c("aut", "cre"))
Maintainer: Aaron Caldwell <arcaldwell49@gmail.com>
Description: Reliability and agreement analyses often have limited software support. Therefore, this package was created to make agreement and reliability analyses easier for the average researcher. The functions within this package include simple tests of agreement, agreement analysis for nested and replicate data, and provide robust analyses of reliability. In addition, this package contains a set of functions to help when planning studies looking to assess measurement agreement. For robust analyses of agreement, limits of agreement through a bootstrap method can also be calculated.
URL: https://aaroncaldwell.us/SimplyAgree/
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: ggplot2, emmeans, lme4, boot, stats, dplyr, magrittr, tidyselect, tidyr, sjstats, stringr, cccrm, jmvcore
Suggests: knitr, rmarkdown, testthat, tidyverse, readr, ggpubr, covr
VignetteBuilder: knitr
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2021-05-17 20:46:17 UTC; arcal
Author: Aaron Caldwell [aut, cre]
Repository: CRAN
Date/Publication: 2021-05-18 14:10:16 UTC

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New package romic with initial version 1.0.0
Package: romic
Title: R for High-Dimensional 'Omic Data
Version: 1.0.0
Authors@R: c( person( given = "Sean", family = "Hackett", email = "sean@calicolabs.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-9553-4341") ), person( given = "Calico Life Sciences LLC", role = c("cph", "fnd") ) )
Maintainer: Sean Hackett <sean@calicolabs.com>
Description: Represents high-dimensional data as tables of features, samples and measurements, and a design list for tracking the meaning of individual variables. Using this format, filtering, normalization, and other transformations of a dataset can be carried out in a flexible manner. 'romic' takes advantage of these transformations to create interactive 'shiny' apps for exploratory data analysis such as an interactive heatmap.
Depends: R (>= 3.2.3)
Imports: checkmate, dplyr, ggplot2, glue, purrr, readr, reshape2, rlang, shiny (>= 1.5.0), stringr, tibble, tidyr (>= 1.0.0)
Suggests: knitr, lazyeval, plotly, rmarkdown, usethis, testthat
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-05-17 16:19:00 UTC; calico-loaner
Author: Sean Hackett [aut, cre] (<https://orcid.org/0000-0002-9553-4341>), Calico Life Sciences LLC [cph, fnd]
Repository: CRAN
Date/Publication: 2021-05-18 14:10:03 UTC

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New package Rcatch22 with initial version 0.1.10
Package: Rcatch22
Title: Calculation of 22 CAnonical Time-Series CHaracteristics
Version: 0.1.10
Date: 2021-05-18
Authors@R: c( person("Trent", "Henderson", email = "then6675@uni.sydney.edu.au", role = c("cre", "aut")), person("Carl", "Lubba", email = "c.lubba15@imperial.ac.uk", role = c("ctb")) )
Maintainer: Trent Henderson <then6675@uni.sydney.edu.au>
Description: Calculate 22 summary statistics coded in C on time-series vectors to enable pattern detection, classification, and regression applications in the feature space as proposed by Lubba et al. (2019) <doi:10.1007/s10618-019-00647-x>.
BugReports: https://github.com/hendersontrent/Rcatch22/issues/
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 0.12.15)
LinkingTo: Rcpp
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2021-05-18 08:27:30 UTC; trenthenderson
Author: Trent Henderson [cre, aut], Carl Lubba [ctb]
Repository: CRAN
Date/Publication: 2021-05-18 15:00:06 UTC

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New package IIVpredictor with initial version 0.1.0
Package: IIVpredictor
Title: Modeling Within Individual Variability as Predictor
Version: 0.1.0
Authors@R: c(person(given="Lijuan", family="Wang", role = c("aut","cph")), person(given="Xiao", family="Liu", role = c("aut", "cre","cph"), email = "xliu19@nd.edu"), person(given="Miao", family="Yang", role = c("aut","cph")))
Description: Time parceling method and Bayesian variability modeling methods for modeling within individual variability indicators as predictors.For more details, see <https://github.com/xliu12/IIVpredicitor>.
License: GPL-2
Encoding: UTF-8
Imports: R2jags, lavaan
Suggests: knitr, rmarkdown, testthat (>= 2.0.0)
VignetteBuilder: knitr
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2021-05-17 21:31:46 UTC; xliu19
Author: Lijuan Wang [aut, cph], Xiao Liu [aut, cre, cph], Miao Yang [aut, cph]
Maintainer: Xiao Liu <xliu19@nd.edu>
Repository: CRAN
Date/Publication: 2021-05-18 14:10:19 UTC

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New package fitbitViz with initial version 1.0.0
Package: fitbitViz
Title: 'Fitbit' Visualizations
Version: 1.0.0
Date: 2021-05-17
Authors@R: c( person(given = "Lampros", family = "Mouselimis", email = "mouselimislampros@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "https://orcid.org/0000-0002-8024-1546")) )
Description: Connection to the 'Fitbit' Web API <https://dev.fitbit.com/build/reference/web-api/> by including 'ggplot2' Visualizations, 'Leaflet' and 3-dimensional 'Rayshader' Maps. The 3-dimensional 'Rayshader' Map requires the installation of the 'CopernicusDEM' R package which includes the 30- and 90-meter elevation data.
License: GPL-3
Encoding: UTF-8
Depends: R(>= 3.5)
Imports: glue, httr, jsonlite, ggplot2, lubridate, patchwork, data.table, stats, viridis, scales, ggthemes, varian, paletteer, XML, hms, leaflet, sf, rstudioapi, grDevices, leafgl, raster, exactextractr, sp, magrittr, rayshader, OpenImageR, geodist, utils
Suggests: CopernicusDEM, testthat (>= 3.0.0), knitr, rmarkdown, DT, rgl, magick
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-05-17 17:23:25 UTC; lampros
Author: Lampros Mouselimis [aut, cre] (<https://orcid.org/0000-0002-8024-1546>)
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-18 14:10:07 UTC

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Package dendroTools updated to version 1.1.4 with previous version 1.1.3 dated 2021-03-16

Title: Linear and Nonlinear Methods for Analyzing Daily and Monthly Dendroclimatological Data
Description: Provides novel dendroclimatological methods, primarily used by the Tree-ring research community. There are four core functions. The first one is daily_response(), which finds the optimal sequence of days that are related to one or more tree-ring proxy records. Similar function is daily_response_seascorr(), which implements partial correlations in the analysis of daily response functions. For the enthusiast of monthly data, there is monthly_response() function. The last core function is compare_methods(), which effectively compares several linear and nonlinear regression algorithms on the task of climate reconstruction.
Author: Jernej Jevsenak [aut, cre]
Maintainer: Jernej Jevsenak <jernej.jevsenak@gmail.com>

Diff between dendroTools versions 1.1.3 dated 2021-03-16 and 1.1.4 dated 2021-05-18

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Package bslib updated to version 0.2.5.1 with previous version 0.2.5 dated 2021-05-12

Title: Custom 'Bootstrap' 'Sass' Themes for 'shiny' and 'rmarkdown'
Description: Simplifies custom 'CSS' styling of both 'shiny' and 'rmarkdown' via 'Bootstrap' 'Sass'. Supports both 'Bootstrap' 3 and 4 as well as their various 'Bootswatch' themes. An interactive widget is also provided for previewing themes in real time.
Author: Carson Sievert [aut, cre] (<https://orcid.org/0000-0002-4958-2844>), Joe Cheng [aut], RStudio [cph], Bootstrap contributors [ctb] (Bootstrap library), Twitter, Inc [cph] (Bootstrap library), Javi Aguilar [ctb, cph] (Bootstrap colorpicker library), Thomas Park [ctb, cph] (Bootswatch library), PayPal [ctb, cph] (Bootstrap accessibility plugin)
Maintainer: Carson Sievert <carson@rstudio.com>

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New package AgroR with initial version 1.0.0
Package: AgroR
Title: Experimental Statistics and Graphics for Agricultural Sciences
Version: 1.0.0
Date: 2021-04-29
Authors@R: c(person("Gabriel Danilo","Shimizu", role = c("aut", "cre"), email = "shimizu@uel.br", comment = c(ORCID = "0000-0001-8524-508X")), person("Rodrigo Yudi Palhaci", "Marubayashi", role = c("aut","ctb"), comment = c(ORCID = "0000-0003-2778-8654")), person("Leandro Simoes Azeredo", "Goncalves", role = c("aut","ctb"), comment = c(ORCID = "0000-0001-9700-9375")))
Maintainer: Gabriel Danilo Shimizu <shimizu@uel.br>
Description: Performs the analysis of completely randomized experimental designs (CRD), randomized blocks (RBD) and Latin square (LSD), experiments in double and triple factorial scheme (in DIC and DBC), experiments in subdivided plot scheme (in DIC and DBC), subdivided and joint analysis of experiments in DIC and DBC, linear regression analysis, test for two samples. The package performs analysis of variance, ANOVA assumptions and multiple comparison test of means or regression, according to Pimentel-Gomes (2009, ISBN: 978-85-7269-566-4), nonparametric test (Conover, 1999, ISBN: 0471160687), test for two samples, joint analysis of experiments according to Ferreira (2018, ISBN: 978-85-7269-566-4), Anova of aligned ranks (Wobbrock, JO, Findlater, L., Gergle, D., & Higgins , JJ (2011), <doi: 10.1145/1978942.1978963> It can also be used to obtain descriptive measures and graphics, in addition to correlations and creative graphics used in agricultural sciences (Agronomy, Zootechnics, Food Science and related areas).
Encoding: UTF-8
Imports: ggplot2, lmtest, nortest, ScottKnott, lme4, crayon, grid, gridExtra, stringr, Hmisc, emmeans, ARTool, multcomp, scales, ggrepel, reshape2, MASS, cowplot, multcompView
Depends: R (>= 4.0.0)
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2021-05-17 22:48:44 UTC; Gabriel
Author: Gabriel Danilo Shimizu [aut, cre] (<https://orcid.org/0000-0001-8524-508X>), Rodrigo Yudi Palhaci Marubayashi [aut, ctb] (<https://orcid.org/0000-0003-2778-8654>), Leandro Simoes Azeredo Goncalves [aut, ctb] (<https://orcid.org/0000-0001-9700-9375>)
Repository: CRAN
Date/Publication: 2021-05-18 14:20:02 UTC

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Package tm.plugin.koRpus updated to version 0.4-2 with previous version 0.4-1 dated 2020-12-29

Title: Full Corpus Support for the 'koRpus' Package
Description: Enhances 'koRpus' text object classes and methods to also support large corpora. Hierarchical ordering of corpus texts into arbitrary categories will be preserved. Provided classes and methods also improve the ability of using the 'koRpus' package together with the 'tm' package. To ask for help, report bugs, suggest feature improvements, or discuss the global development of the package, please subscribe to the koRpus-dev mailing list (<https://korpusml.reaktanz.de>).
Author: m.eik michalke [aut, cre]
Maintainer: m.eik michalke <meik.michalke@hhu.de>

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Package bayesian updated to version 0.0.4 with previous version 0.0.3 dated 2021-04-02

Title: Bindings for Bayesian TidyModels
Description: Fit Bayesian models using 'brms'/'Stan' with 'parsnip'/'tidymodels' via 'bayesian' <doi:10.5281/zenodo.4430991>. 'tidymodels' is a collection of packages for machine learning; see Wickham (2020) <https://www.tidymodels.org>). The technical details of 'brms' and 'Stan' are described in Bürkner (2017) <doi:10.18637/jss.v080.i01>, Bürkner (2018) <doi:10.32614/RJ-2018-017>, and Carpenter et al. (2017) <doi:10.18637/jss.v076.i01>.
Author: Hamada S. Badr [aut, cre] (<https://orcid.org/0000-0002-9808-2344>), Paul-Christian Bürkner [aut]
Maintainer: Hamada S. Badr <badr@jhu.edu>

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Package smoothr updated to version 0.2.0 with previous version 0.1.2 dated 2020-01-23

Title: Smooth and Tidy Spatial Features
Description: Tools for smoothing and tidying spatial features (i.e. lines and polygons) to make them more aesthetically pleasing. Smooth curves, fill holes, and remove small fragments from lines and polygons.
Author: Matthew Strimas-Mackey [aut, cre] (<https://orcid.org/0000-0001-8929-7776>)
Maintainer: Matthew Strimas-Mackey <mstrimas@gmail.com>

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Package repana updated to version 1.23.1 with previous version 1.23.0 dated 2021-05-17

Title: Repeatable Analysis in R
Description: Set of utilities to facilitate the reproduction of analysis in R. It allow to make_structure(), clean_structure(), and run and log programs in a predefined order to allow secondary files, analysis and reports be constructed in an ordered form.
Author: John J. Aponte [aut, cre] (<https://orcid.org/0000-0002-3014-3673>)
Maintainer: John J. Aponte <john.j.aponte@gmail.com>

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Package interflex updated to version 1.2.6 with previous version 1.2.5 dated 2021-05-06

Title: Multiplicative Interaction Models Diagnostics and Visualization
Description: Performs diagnostic tests of multiplicative interaction models and plots non-linear marginal effects of a treatment on an outcome across different values of a moderator.
Author: Jens Hainmueller [aut, ctb], Jonathan Mummolo [aut, ctb], Yiqing Xu [aut, ctb], Ziyi Liu [aut, cre]
Maintainer: Ziyi Liu <zyliu2020@uchicago.edu>

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Package htmlTable updated to version 2.2.1 with previous version 2.1.0 dated 2020-09-16

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

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Package hockeystick updated to version 0.5.1 with previous version 0.5.0 dated 2021-04-14

Title: Download and Visualize Essential Climate Change Data
Description: Provides easy access to essential climate change datasets to non-climate experts. Users can download the latest raw data from authoritative sources and view it via pre-defined 'ggplot2' charts. Datasets include atmospheric CO2, instrumental and proxy temperature records, sea levels, Arctic/Antarctic sea-ice, Hurricanes, and Paleoclimate data. Sources include: NOAA Mauna Loa Laboratory <https://gml.noaa.gov/ccgg/trends/data.html>, NASA GISTEMP <https://data.giss.nasa.gov/gistemp/>, National Snow and Sea Ice Data Center <https://nsidc.org/data/seaice_index/archives>, CSIRO <https://research.csiro.au/slrwavescoast/sea-level/measurements-and-data/sea-level-data/>, NOAA Laboratory for Satellite Altimetry <https://www.star.nesdis.noaa.gov/socd/lsa/SeaLevelRise/> and HURDAT Atlantic Hurricane Database <https://www.aoml.noaa.gov/hrd/hurdat/Data_Storm.html>, Vostok Paleo carbon dioxide and temperature data: <https://cdiac.ess-dive.lbl.gov/trends/co2/vostok.html>.
Author: Hernando Cortina [aut, cre] (<https://orcid.org/0000-0001-6790-4870>)
Maintainer: Hernando Cortina <hch@alum.mit.edu>

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Package GLMcat updated to version 0.2.3 with previous version 0.2.2 dated 2021-05-09

Title: Generalized Linear Models for Categorical Responses
Description: In statistical modeling, there is a wide variety of regression models for categorical dependent variables (nominal or ordinal data); yet, there is no software embracing all these models together in a uniform and generalized format. Following the methodology proposed by Peyhardi, Trottier, and Guédon (2015) <doi:10.1093/biomet/asv042>, we introduce 'GLMcat', an R package to estimate generalized linear models implemented under the unified specification (r, F, Z). Where r represents the ratio of probabilities (reference, cumulative, adjacent, or sequential), F the cumulative cdf function for the linkage, and Z, the design matrix.
Author: Lorena León [aut, cre], Jean Peyhardi [aut], Catherine Trottier [aut]
Maintainer: Lorena León <ylorenaleonv@gmail.com>

Diff between GLMcat versions 0.2.2 dated 2021-05-09 and 0.2.3 dated 2021-05-18

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Package earlygating updated to version 1.1 with previous version 1.0 dated 2018-08-30

Title: Properties of Bayesian Early Gating Designs
Description: Computes the most important properties of four 'Bayesian' early gating designs (two single arm and two randomized controlled designs), such as minimum required number of successes in the experimental group to make a GO decision, operating characteristics and average operating characteristics with respect to the sample size. These might aid in deciding what design to use for the early phase trial.
Author: Elias Laurin Meyer [aut, cre]
Maintainer: Elias Laurin Meyer <elias.meyer@meduniwien.ac.at>

Diff between earlygating versions 1.0 dated 2018-08-30 and 1.1 dated 2021-05-18

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Package dvir updated to version 2.1.0 with previous version 2.0.0 dated 2021-03-29

Title: Disaster Victim Identification
Description: Joint DNA-based disaster victim identification (DVI), as described in Vigeland and Egeland (2021) <doi:10.21203/rs.3.rs-296414/v1>. Identification is performed by optimising the joint likelihood of all victim samples and reference individuals. Individual identification probabilities, conditional on all available information, are derived from the joint solution in the form of posterior pairing probabilities. 'dvir' is part of the 'ped suite' collection of packages for pedigree analysis. In particular it uses 'forrel' for calculation of likelihood ratios.
Author: Thore Egeland [aut, cre] (<https://orcid.org/0000-0002-3465-8885>), Magnus Dehli Vigeland [aut] (<https://orcid.org/0000-0002-9134-4962>)
Maintainer: Thore Egeland <thore.egeland@nmbu.no>

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New package makemyprior with initial version 1.0.0
Package: makemyprior
Title: Intuitive Construction of Joint Priors for Variance Parameters
Version: 1.0.0
Authors@R: c( person("Ingeborg Gullikstad", "Hem", email = "ingeborg.hem@ntnu.no", role = c("cre", "aut")), person("Geir-Arne", "Fuglstad", role = "aut"), person("Andrea", "Riebler", role = "aut") )
Description: Tool for easy prior construction and visualization. It helps to formulates joint prior distributions for variance parameters in latent Gaussian models. The resulting prior is robust and can be created in an intuitive way. A graphical user interface (GUI) can be used to choose the joint prior, where the user can click through the model and select priors. An extensive guide is available in the GUI. The package allows for direct inference with the specified model and prior. Using a hierarchical variance decomposition, we formulate a joint variance prior that takes the whole model structure into account. In this way, existing knowledge can intuitively be incorporated at the level it applies to. Alternatively, one can use independent variance priors for each model components in the latent Gaussian model.
License: GPL (>= 2)
Date: 2021-05-18
Encoding: UTF-8
LazyData: true
Imports: ggplot2, Matrix, knitr, shiny, shinyjs, shinyBS, visNetwork, rmarkdown, rlang, MASS, testthat (>= 2.1.0)
Suggests: rstan (>= 2.21.2), INLA (>= 20.03.17)
Depends: R (>= 3.6.0)
Additional_repositories: https://inla.r-inla-download.org/R/stable/
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-05-18 10:38:03 UTC; ingebogh
Author: Ingeborg Gullikstad Hem [cre, aut], Geir-Arne Fuglstad [aut], Andrea Riebler [aut]
Maintainer: Ingeborg Gullikstad Hem <ingeborg.hem@ntnu.no>
Repository: CRAN
Date/Publication: 2021-05-18 11:00:03 UTC

More information about makemyprior at CRAN
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Package DirichletReg updated to version 0.7-1 with previous version 0.7-0 dated 2020-05-29

Title: Dirichlet Regression
Description: Implements Dirichlet regression models.
Author: Marco Johannes Maier [cre, aut] (<https://orcid.org/0000-0002-1715-7456>)
Maintainer: Marco Johannes Maier <marco_maier@posteo.de>

Diff between DirichletReg versions 0.7-0 dated 2020-05-29 and 0.7-1 dated 2021-05-18

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New package ttTensor with initial version 1.0.1
Package: ttTensor
Title: Tensor-Train Decomposition
Version: 1.0.1
Date: 2021-05-15
Authors@R: c(person("Koki", "Tsuyuzaki", role = c("aut", "cre"), email = "k.t.the-answer@hotmail.co.jp"), person("Manabu", "Ishii", role = "aut"), person("Itoshi", "Nikaido", role = "aut"))
Suggests: testthat
Depends: R (>= 3.5.0)
Imports: methods, rTensor, tensorr, PTAk, Matrix
Description: Tensor-train is a compact representation for higher-order tensors. Some algorithms for performing tensor-train decomposition are available such as TT-SVD, TT-WOPT, and TT-Cross. For the details of the algorithms, see I. V. Oseledets (2011) <doi:10.1137/090752286>, Yuan Longao, et al (2017) <arXiv:1709.02641>, I. V. Oseledets (2010) <doi:10.1016/j.laa.2009.07.024>.
License: Artistic-2.0
URL: https://github.com/rikenbit/ttTensor
NeedsCompilation: no
Packaged: 2021-05-18 01:30:26 UTC; root
Author: Koki Tsuyuzaki [aut, cre], Manabu Ishii [aut], Itoshi Nikaido [aut]
Maintainer: Koki Tsuyuzaki <k.t.the-answer@hotmail.co.jp>
Repository: CRAN
Date/Publication: 2021-05-18 09:50:03 UTC

More information about ttTensor at CRAN
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Package spsComps updated to version 0.3.0 with previous version 0.2 dated 2021-05-04

Title: 'systemPipeShiny' UI and Server Components
Description: The systemPipeShiny (SPS) framework comes with many UI and server components. However, installing the whole framework is heavy and takes some time. If you would like to use UI and server components from SPS in your own Shiny apps, do not hesitate to try this package.
Author: Le Zhang [aut, cre]
Maintainer: Le Zhang <lezhang100@gmail.com>

Diff between spsComps versions 0.2 dated 2021-05-04 and 0.3.0 dated 2021-05-18

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Package spatialrisk updated to version 0.6.8 with previous version 0.6.7 dated 2020-04-23

Title: Calculating Spatial Risk
Description: Methods for spatial risk calculations. It offers an efficient approach to determine the sum of all observations within a circle of a certain radius. This might be beneficial for insurers who are required (by a recent European Commission regulation) to determine the maximum value of insured fire risk policies of all buildings that are partly or fully located within a circle of a radius of 200m. See Church (1974) <doi:10.1007/BF01942293> for a description of the problem.
Author: Martin Haringa [aut, cre]
Maintainer: Martin Haringa <mtharinga@gmail.com>

Diff between spatialrisk versions 0.6.7 dated 2020-04-23 and 0.6.8 dated 2021-05-18

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Package sandwich updated to version 3.0-1 with previous version 3.0-0 dated 2020-10-02

Title: Robust Covariance Matrix Estimators
Description: Object-oriented software for model-robust covariance matrix estimators. Starting out from the basic robust Eicker-Huber-White sandwich covariance methods include: heteroscedasticity-consistent (HC) covariances for cross-section data; heteroscedasticity- and autocorrelation-consistent (HAC) covariances for time series data (such as Andrews' kernel HAC, Newey-West, and WEAVE estimators); clustered covariances (one-way and multi-way); panel and panel-corrected covariances; outer-product-of-gradients covariances; and (clustered) bootstrap covariances. All methods are applicable to (generalized) linear model objects fitted by lm() and glm() but can also be adapted to other classes through S3 methods. Details can be found in Zeileis et al. (2020) <doi:10.18637/jss.v095.i01>, Zeileis (2004) <doi:10.18637/jss.v011.i10> and Zeileis (2006) <doi:10.18637/jss.v016.i09>.
Author: Achim Zeileis [aut, cre] (<https://orcid.org/0000-0003-0918-3766>), Thomas Lumley [aut], Nathaniel Graham [ctb], Susanne Koell [ctb]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

Diff between sandwich versions 3.0-0 dated 2020-10-02 and 3.0-1 dated 2021-05-18

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New package nnTensor with initial version 1.0.7
Package: nnTensor
Title: Non-Negative Tensor Decomposition
Version: 1.0.7
Date: 2021-05-15
Authors@R: c(person("Koki", "Tsuyuzaki", role = c("aut", "cre"), email = "k.t.the-answer@hotmail.co.jp"), person("Manabu", "Ishii", role = "aut"), person("Itoshi", "Nikaido", role = "aut"))
Suggests: testthat
Depends: R (>= 3.4.0)
Imports: methods, fields, rTensor, plot3D, tagcloud, ggplot2
Description: Some functions for performing non-negative matrix factorization, non-negative CANDECOMP/PARAFAC (CP) decomposition, non-negative Tucker decomposition, and generating toy model data. See Andrzej Cichock et al (2009) <doi:10.1002/9780470747278> and the reference section of GitHub README.md <https://github.com/rikenbit/nnTensor>, for details of the methods.
License: Artistic-2.0
URL: https://github.com/rikenbit/nnTensor
NeedsCompilation: no
Packaged: 2021-05-18 01:31:07 UTC; root
Author: Koki Tsuyuzaki [aut, cre], Manabu Ishii [aut], Itoshi Nikaido [aut]
Maintainer: Koki Tsuyuzaki <k.t.the-answer@hotmail.co.jp>
Repository: CRAN
Date/Publication: 2021-05-18 09:40:02 UTC

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Package maditr updated to version 0.8.1 with previous version 0.7.4 dated 2020-07-29

Title: Fast Data Aggregation, Modification, and Filtering with Pipes and 'data.table'
Description: Provides pipe-style interface for 'data.table'. Package preserves all 'data.table' features without significant impact on performance. 'let' and 'take' functions are simplified interfaces for most common data manipulation tasks. For example, you can write 'take(mtcars, mean(mpg), by = am)' for aggregation or 'let(mtcars, hp_wt = hp/wt, hp_wt_mpg = hp_wt/mpg)' for modification. Use 'take_if/let_if' for conditional aggregation/modification. Additionally there are some conveniences such as automatic 'data.frame' conversion to 'data.table'.
Author: Gregory Demin [aut, cre]
Maintainer: Gregory Demin <gdemin@gmail.com>

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Package GillespieSSA2 updated to version 0.2.8 with previous version 0.2.7 dated 2020-07-14

Title: Gillespie's Stochastic Simulation Algorithm for Impatient People
Description: A fast, scalable, and versatile framework for simulating large systems with Gillespie's Stochastic Simulation Algorithm ('SSA'). This package is the spiritual successor to the 'GillespieSSA' package originally written by Mario Pineda-Krch. Benefits of this package include major speed improvements (>100x), easier to understand documentation, and many unit tests that try to ensure the package works as intended. Cannoodt and Saelens et al. (2020) <doi:10.1101/2020.02.06.936971>.
Author: Robrecht Cannoodt [aut, cre] (<https://orcid.org/0000-0003-3641-729X>), Wouter Saelens [aut] (<https://orcid.org/0000-0002-7114-6248>)
Maintainer: Robrecht Cannoodt <rcannood@gmail.com>

Diff between GillespieSSA2 versions 0.2.7 dated 2020-07-14 and 0.2.8 dated 2021-05-18

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 src/ode_em.cpp                             |    2 
 src/ssa_btl.cpp                            |    1 
 src/ssa_etl.cpp                            |    2 
 src/ssa_exact.cpp                          |    2 
 src/utils.cpp                              |    2 
 tests/testthat/test-ssa.R                  |   39 ++
 25 files changed, 933 insertions(+), 2587 deletions(-)

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New package DGM with initial version 1.7.3
Package: DGM
Version: 1.7.3
Date: 2021-05-17
Title: Dynamic Graphical Models
Author: Simon Schwab <schw4b@gmail.com>, Ruth Harbord <r.harbord@warwick.ac.uk>, Lilia Costa <liliacosta@ufba.br>, Thomas Nichols <t.e.nichols@warwick.ac.uk>
Maintainer: Simon Schwab <schw4b@gmail.com>
Depends: R (>= 3.2.0)
Imports: Rcpp (>= 0.11.0), data.table (>= 1.10.0), reshape2 (>= 1.4.2), ggplot2 (>= 2.2.1), coin (>= 1.2)
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat
Description: Dynamic graphical models for multivariate time series data to estimate directed dynamic networks in functional magnetic resonance imaging (fMRI), see Schwab et al. (2017) <doi:10.1101/198887>.
License: GPL-3
URL: https://github.com/schw4b/DGM
BugReports: https://github.com/schw4b/DGM/issues
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2021-05-17 21:52:10 UTC; simon
Repository: CRAN
Date/Publication: 2021-05-18 09:50:14 UTC

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Package BET updated to version 0.3.8 with previous version 0.3.7 dated 2021-04-19

Title: Binary Expansion Testing
Description: Nonparametric detection of nonuniformity and dependence with Binary Expansion Testing (BET). See Kai Zhang (2019) BET on Independence, Journal of the American Statistical Association, 114:528, 1620-1637, <DOI:10.1080/01621459.2018.1537921> and Zhigen Zhao, Michael Baiocchi, Kai Zhang. SorBET: A Fast and Powerful Algorithm to Test Dependence of Variables.
Author: Wan Zhang [aut, cre], Zhigen Zhao [aut], Michael Baiocchi [aut], Kai Zhang [aut]
Maintainer: Wan Zhang <wanz63@live.unc.edu>

Diff between BET versions 0.3.7 dated 2021-04-19 and 0.3.8 dated 2021-05-18

 DESCRIPTION       |    6 +++---
 MD5               |    6 +++---
 build/partial.rdb |binary
 man/Beast.Rd      |    8 ++++----
 4 files changed, 10 insertions(+), 10 deletions(-)

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New package realTimeSurv with initial version 1.0
Package: realTimeSurv
Title: Real Time Disease Surveillance Using Geospatial Statistical Modelling
Version: 1.0
Authors@R: person(given = "Sam", family = "Watson", role = c("aut", "cre"), email = "s.i.watson@bham.ac.uk", comment = c(ORCID = "0000-0002-8972-769X"))
Description: Convenient tools and data for the real-time surveillance of infectious disease and various visualisation and reporting tools. The package serves as a wrapper to a variety of geostatistical ('lgcp', 'sp', 'rgeos', etc.) and plotting packages ('ggplot2', 'ggmap', 'ggspatial', etc. ) for R, and is intended to enable rapid deployment of real-time surveillance statistical software.
License: CC BY-SA 4.0
Encoding: UTF-8
LazyData: true
Imports: ncdf4, methods, sp, rgeos, ggplot2, ggpubr, googleway, lubridate, maptools, spatstat.geom, geoR, knitr, reshape2, kableExtra, geosphere, ggspatial, spatstat, parallel, pbapply, rlang, coda, bayesplot
Depends: R (>= 2.10), lgcp (>= 1.7)
Suggests: testthat, ggmap
NeedsCompilation: no
Packaged: 2021-05-17 09:48:40 UTC; colmds-localadmin
Author: Sam Watson [aut, cre] (<https://orcid.org/0000-0002-8972-769X>)
Maintainer: Sam Watson <s.i.watson@bham.ac.uk>
Repository: CRAN
Date/Publication: 2021-05-18 08:10:02 UTC

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New package HotellingEllipse with initial version 0.1.1
Package: HotellingEllipse
Title: Hotelling T-Square and Confidence Ellipse
Version: 0.1.1
Authors@R: person(given = "Christian L.", family = "Goueguel", role = c("aut", "cre"), email = "christian.goueguel@gmail.com", comment = c(ORCID = "https://orcid.org/0000-0003-0521-3446"))
Description: Functions to compute the semi-axes lengths and coordinate points of Hotelling ellipse. Bro and Smilde (2014) <DOI:10.1039/c3ay41907j>. Brereton (2016) <DOI:10.1002/cem.2763>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/ChristianGoueguel/HotellingEllipse
BugReports: https://github.com/ChristianGoueguel/HotellingEllipse/issues
Imports: dplyr, FactoMineR, ggforce, ggplot2, lifecycle, magrittr, purrr, stats, tibble
Depends: R (>= 2.10)
Suggests: rmarkdown, knitr, markdown, testthat (>= 3.0.0), spelling
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2021-05-17 16:13:58 UTC; christiangoueguel
Author: Christian L. Goueguel [aut, cre] (<https://orcid.org/0000-0003-0521-3446>)
Maintainer: Christian L. Goueguel <christian.goueguel@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-18 08:10:05 UTC

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Package VSdecomp updated to version 0.1.1 with previous version 0.1.0 dated 2021-02-17

Title: Variance and Skewness Decomposition
Description: Provides decomposition methods for the skewness or variance of a variable (e.g., wage). By breaking distribution moments into independent components, users can analyze changes in distributions across time or between groups.
Author: Elad Guttman [aut, cre], Oren Danieli [aut]
Maintainer: Elad Guttman <eladguttman@mail.tau.ac.il>

Diff between VSdecomp versions 0.1.0 dated 2021-02-17 and 0.1.1 dated 2021-05-18

 DESCRIPTION                             |    9 +--
 MD5                                     |   16 +++---
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 R/skewness_functions.R                  |    4 -
 R/summary.R                             |    4 -
 R/vs_decomp.R                           |    2 
 man/plot.vs_decomp.Rd                   |   23 ++++++++-
 tests/testthat/test_linear_projection.R |   12 +++-
 9 files changed, 113 insertions(+), 44 deletions(-)

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New package siconvr with initial version 0.0.1
Package: siconvr
Title: Fetch Data from Plataforma +Brasil (SICONV)
Version: 0.0.1
Authors@R: c( person("Fernando", "Meireles", , "fmeireles@ufmg.br", c("aut", "cre"), c(ORCID = "0000-0002-7027-2058")), person("Marcus", "Vinícius de Sá Torres", , "marcus.torres@ufpe.br", c("aut"), c(ORCID = "0000-0002-9647-1418")) )
Description: Fetch data on targeted public investments from Plataforma +Brasil (SICONV) <http://plataformamaisbrasil.gov.br/>, the responsible system for requests, execution, and monitoring of federal discretionary transfers in Brazil.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/meirelesff/siconvr, https://fmeireles.com/siconvr/
BugReports: https://github.com/meirelesff/siconvr/issues
Imports: data.table, httr, magrittr, tibble, dplyr, cli
Suggests: testthat (>= 3.0.0), covr
NeedsCompilation: no
Packaged: 2021-05-17 14:03:31 UTC; fernando
Author: Fernando Meireles [aut, cre] (<https://orcid.org/0000-0002-7027-2058>), Marcus Vinícius de Sá Torres [aut] (<https://orcid.org/0000-0002-9647-1418>)
Maintainer: Fernando Meireles <fmeireles@ufmg.br>
Repository: CRAN
Date/Publication: 2021-05-18 08:00:02 UTC

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New package rgplates with initial version 0.1.0
Package: rgplates
Title: R Interface for the GPlates Web Service and Desktop Application
Version: 0.1.0
Authors@R: c( person(given="Adam T.", family="Kocsis", role=c("cre", "aut"), email="adam.t.kocsis@gmail.com", comment=c(ORCID="0000-0002-9028-665X")), person(given="Nussaibah B.", family="Raja", role=c("aut"), comment=c(ORCID="0000-0002-0000-3944")), person(given="Deutsche Forschungsgemeinschaft", role="fnd"), person(given="FAU GeoZentrum Nordbayern", role="fnd"))
Maintainer: Adam T. Kocsis <adam.t.kocsis@gmail.com>
Description: Query functions to the GPlates <https://www.gplates.org/> desktop application and the GPlates Web Service <https://gws.gplates.org/> allow users to reconstruct coordinates, static plates, and Spatial objects without leaving the R running environment. This R extension was supported by the FAU GeoZentrum Nordbayern and is developed under the umbrella of the DFG (Deutsche Forschungsgemeinschaft) Research Unit TERSANE2 (For 2332, TEmperature Related Stressors in ANcient Extinctions).
License: CC BY 4.0
Date: 2021-05-17
BugReports: https://github.com/adamkocsis/rgplates/issues
Encoding: UTF-8
LazyData: false
Depends: R (>= 3.5.0), sp
Imports: methods, grDevices, rgdal, utils
NeedsCompilation: no
Suggests: knitr, rmarkdown, chronosphere
Packaged: 2021-05-17 08:42:28 UTC; root
Author: Adam T. Kocsis [cre, aut] (<https://orcid.org/0000-0002-9028-665X>), Nussaibah B. Raja [aut] (<https://orcid.org/0000-0002-0000-3944>), Deutsche Forschungsgemeinschaft [fnd], FAU GeoZentrum Nordbayern [fnd]
Repository: CRAN
Date/Publication: 2021-05-18 08:00:05 UTC

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New package mipplot with initial version 0.3.1
Package: mipplot
Title: An Open-Source Tool for Visualization of Climate Mitigation Scenarios
Version: 0.3.1
Authors@R: c(person("Diego", "Silva Herran", email = "silva-herran@iges.or.jp",role = "aut"), person("Jiayang", "WANG", email = "wang@pari.u-tokyo.ac.jp",role = "aut"), person("Masahiro", "SUGIYAMA", email = "masahiro_sugiyama@alum.mit.edu",role = "aut"), person("Hiroto", "SHIRAKI", email = "shiraki.h@ses.usp.ac.jp",role = "aut"), person("Akimitsu", "Inoue", email = "inoue.akimitsu@chino-js.com", role = c("ctr", "cre")))
Maintainer: Akimitsu Inoue <inoue.akimitsu@chino-js.com>
Description: Generic functions to produce area/bar/box/line plots of data following IAMC (Integrated Assessment Modeling Consortium) submission format.
Imports: ggplot2, stringr, tidyr, shinyWidgets, data.table, readxl, shiny.i18n (>= 0.2.0), showtextdb, shinyalert, readr, showtext, shiny (>= 1.5.0), reshape, rlang, dplyr, reshape2
Depends: R (>= 3.5.0), stats, utils, graphics, grDevices,
License: MIT + file LICENSE
Suggests: testthat, knitr, rmarkdown, tidyverse
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-05-17 04:03:59 UTC; inoue.akimitsu
Author: Diego Silva Herran [aut], Jiayang WANG [aut], Masahiro SUGIYAMA [aut], Hiroto SHIRAKI [aut], Akimitsu Inoue [ctr, cre]
Repository: CRAN
Date/Publication: 2021-05-18 07:20:02 UTC

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New package ECSFargateProvider with initial version 1.0.0
Package: ECSFargateProvider
Title: The 'ECS Fargate' Cloud Provider for the 'DockerParallel' Package
Version: 1.0.0
Authors@R: person(given = "Jiefei", family = "Wang", role = c("aut", "cre"), email = "szwjf08@gmail.com")
Description: Providing the implementation for the 'ECS Fargate' cloud provider. For the general information about 'ECS', please visit <https://aws.amazon.com/ecs/>.
License: GPL-3
Encoding: UTF-8
Imports: aws.ecx, methods, DockerParallel, jsonlite, utils, aws.iam
Suggests: testthat
NeedsCompilation: no
Packaged: 2021-05-16 14:48:30 UTC; jwang
Author: Jiefei Wang [aut, cre]
Maintainer: Jiefei Wang <szwjf08@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-18 07:10:02 UTC

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New package ConsRankClass with initial version 1.0.0
Package: ConsRankClass
Title: Classification and Clustering of Preference Rankings
Version: 1.0.0
Date: 2021-05-17
Authors@R: c(person("Antonio", "D'Ambrosio", role = c("aut", "cre"), email = "antdambr@unina.it"))
Maintainer: Antonio D'Ambrosio <antdambr@unina.it>
Depends: ConsRank
Imports: janitor, methods, pracma, rlist, proxy
Description: Tree-based classification and soft-clustering method for preference rankings, with tools for external validation of fuzzy clustering. It contains the recursive partitioning algorithm for preference rankings, non-parametric tree-based method for a matrix of preference rankings as a response variable. It contains also the distribution-free soft clustering method for preference rankings, namely the K-median cluster component analysis (CCA). The package depends on the 'ConsRank' R package. Options for validate the tree-based method are both test-set procedure and V-fold cross validation. The package contains the routines to compute the adjusted concordance index (a fuzzy version of the adjusted rand index) and the normalized degree of concordance (the corresponding fuzzy version of the rand index). Essential references: D'Ambrosio, A., Amodio, S., Iorio, C., Pandolfo, G., and Siciliano, R. (2021) <doi:10.1007/s00357-020-09367-0> D'Ambrosio, A., and Heiser, W.J. (2019) <doi:10.1007/s41237-018-0069-5>; D'Ambrosio, A., and Heiser W.J. (2016) <doi:10.1007/s11336-016-9505-1>; Hullermeier, E., Rifqi, M., Henzgen, S., and Senge, R. (2012) <doi:10.1109/TFUZZ.2011.2179303>.
License: GPL-3
Encoding: UTF-8
URL: https://www.r-project.org/
Repository: CRAN
NeedsCompilation: no
Packaged: 2021-05-17 12:23:33 UTC; Antonio
Author: Antonio D'Ambrosio [aut, cre]
Date/Publication: 2021-05-18 07:40:02 UTC

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New package hybridogram with initial version 0.3.0
Package: hybridogram
Title: Function that Creates a Heat Map from Hybridization Data
Version: 0.3.0
Author: Matthew Cserhati
Maintainer: Matthew Cserhati <csmatyi@protonmail.com>
Description: Using hybrid data, this package created a vividly colored hybrid heat map. The input is two files which are auto-selected. The first file has three columns, the first two for pairs of species, with the third column for the hybrid experiment code (an integer). The second file is a list of code and their descriptions in two columns. The output is a figure showing the hybrid heat map with a color legend.
License: GPL-3
Encoding: UTF-8
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Imports: gplots
NeedsCompilation: no
Packaged: 2021-05-16 15:43:15 UTC; matth
Repository: CRAN
Date/Publication: 2021-05-18 07:00:02 UTC

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New package frenchdata with initial version 0.1.1
Package: frenchdata
Title: Download Data Sets from Kenneth's French Finance Data Library Site
Version: 0.1.1
Authors@R: person(given = "Nelson", family = "Areal", role = c("aut", "cre"), email = "nareal@gmail.com", comment = c(ORCID = "0000-0002-1157-0178"))
Description: Download data sets from Kenneth's French finance data library site <http://mba.tuck.dartmouth.edu/pages/faculty/ken.french/data_library.html>, reads all the data subsets from the file. Allows R users to collect the data as 'tidyverse'-ready data frames.
License: MIT + file LICENSE
URL: https://nareal.github.io/frenchdata/, https://github.com/nareal/frenchdata
BugReports: https://github.com/nareal/frenchdata/issues
Depends: R (>= 3.3)
Encoding: UTF-8
Imports: utils, magrittr, tibble, dplyr, tidyr (>= 1.0.0), cli, httr, rvest (>= 0.99.0.9000), stringr, purrr, assertthat, rlang, fs, readr
Suggests: markdown, rmarkdown, knitr, lubridate, ggplot2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-05-16 11:14:10 UTC; nareal
Author: Nelson Areal [aut, cre] (<https://orcid.org/0000-0002-1157-0178>)
Maintainer: Nelson Areal <nareal@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-18 07:00:04 UTC

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New package einsum with initial version 0.1.0
Package: einsum
Title: Einstein Summation
Version: 0.1.0
Authors@R: person("Constantin", "Ahlmann-Eltze", email = "artjom31415@googlemail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-3762-068X"))
Description: The summation notation suggested by Einstein (1916) <doi:10.1002/andp.19163540702> is a concise mathematical notation that implicitly sums over repeated indices of n-dimensional arrays. Many ordinary matrix operations (e.g. transpose, matrix multiplication, scalar product, 'diag()', trace etc.) can be written using Einstein notation. The notation is particularly convenient for expressing operations on arrays with more than two dimensions because the respective operators ('tensor products') might not have a standardized name.
License: MIT + file LICENSE
Encoding: UTF-8
SystemRequirements: C++11
Suggests: testthat, covr
RdMacros: mathjaxr
LinkingTo: Rcpp
Imports: Rcpp, glue, mathjaxr
NeedsCompilation: yes
Packaged: 2021-05-15 21:32:03 UTC; ahlmanne
Author: Constantin Ahlmann-Eltze [aut, cre] (<https://orcid.org/0000-0002-3762-068X>)
Maintainer: Constantin Ahlmann-Eltze <artjom31415@googlemail.com>
Repository: CRAN
Date/Publication: 2021-05-18 07:00:08 UTC

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Package tidytable updated to version 0.6.2 with previous version 0.6.1 dated 2021-04-16

Title: Tidy Interface to 'data.table'
Description: A tidy interface to 'data.table' that is 'rlang' compatible, giving users the speed of 'data.table' with the clean syntax of the tidyverse.
Author: Mark Fairbanks [aut, cre], Abdessabour Moutik [ctb], Matt Carlson [ctb], Ivan Leung [ctb], Ross Kennedy [ctb]
Maintainer: Mark Fairbanks <mark.t.fairbanks@gmail.com>

Diff between tidytable versions 0.6.1 dated 2021-04-16 and 0.6.2 dated 2021-05-18

 tidytable-0.6.1/tidytable/R/utils-selectors.R               |only
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 tidytable-0.6.2/tidytable/MD5                               |  134 ++++++------
 tidytable-0.6.2/tidytable/NAMESPACE                         |   41 +++
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 tidytable-0.6.2/tidytable/R/arrange_across.R                |    2 
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 tidytable-0.6.2/tidytable/R/dt.R                            |   10 
 tidytable-0.6.2/tidytable/R/expand.R                        |   37 ++-
 tidytable-0.6.2/tidytable/R/extract.R                       |   14 -
 tidytable-0.6.2/tidytable/R/fill.R                          |   22 +
 tidytable-0.6.2/tidytable/R/filter.R                        |   27 +-
 tidytable-0.6.2/tidytable/R/get_dummies.R                   |   50 +++-
 tidytable-0.6.2/tidytable/R/group_split.R                   |   22 +
 tidytable-0.6.2/tidytable/R/mutate.R                        |  110 ++++++++-
 tidytable-0.6.2/tidytable/R/mutate_across.R                 |    6 
 tidytable-0.6.2/tidytable/R/mutate_rowwise.R                |   10 
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 tidytable-0.6.2/tidytable/R/nest.R                          |   12 -
 tidytable-0.6.2/tidytable/R/nest_by.R                       |   10 
 tidytable-0.6.2/tidytable/R/pivot_longer.R                  |   63 +++--
 tidytable-0.6.2/tidytable/R/pivot_wider.R                   |   54 +++-
 tidytable-0.6.2/tidytable/R/relocate.R                      |   27 +-
 tidytable-0.6.2/tidytable/R/rename.R                        |   12 -
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 tidytable-0.6.2/tidytable/R/select.R                        |   35 +--
 tidytable-0.6.2/tidytable/R/separate.R                      |   24 +-
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 tidytable-0.6.2/tidytable/R/slice.R                         |   88 +++++--
 tidytable-0.6.2/tidytable/R/summarize.R                     |   16 -
 tidytable-0.6.2/tidytable/R/summarize_across.R              |    4 
 tidytable-0.6.2/tidytable/R/tidytable.R                     |   10 
 tidytable-0.6.2/tidytable/R/top_n.R                         |   11 
 tidytable-0.6.2/tidytable/R/transmute.R                     |   33 +-
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 tidytable-0.6.2/tidytable/R/unite.R                         |   13 -
 tidytable-0.6.2/tidytable/R/unnest.R                        |   24 +-
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Package rcompanion updated to version 2.4.1 with previous version 2.4.0 dated 2021-03-23

Title: Functions to Support Extension Education Program Evaluation
Description: Functions and datasets to support "Summary and Analysis of Extension Program Evaluation in R" and "An R Companion for the Handbook of Biological Statistics". Vignettes are available at <http://rcompanion.org>.
Author: Salvatore Mangiafico [aut, cre] (<https://orcid.org/0000-0003-4668-6821>)
Maintainer: Salvatore Mangiafico <mangiafico@njaes.rutgers.edu>

Diff between rcompanion versions 2.4.0 dated 2021-03-23 and 2.4.1 dated 2021-05-18

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Package inline updated to version 0.3.18 with previous version 0.3.17 dated 2020-11-30

Title: Functions to Inline C, C++, Fortran Function Calls from R
Description: Functionality to dynamically define R functions and S4 methods with 'inlined' C, C++ or Fortran code supporting the .C and .Call calling conventions.
Author: Oleg Sklyar, Duncan Murdoch, Mike Smith, Dirk Eddelbuettel, Romain Francois, Karline Soetaert, Johannes Ranke
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package WebPower updated to version 0.6 with previous version 0.5.2 dated 2018-11-29

Title: Basic and Advanced Statistical Power Analysis
Description: This is a collection of tools for conducting both basic and advanced statistical power analysis including correlation, proportion, t-test, one-way ANOVA, two-way ANOVA, linear regression, logistic regression, Poisson regression, mediation analysis, longitudinal data analysis, structural equation modeling and multilevel modeling. It also serves as the engine for conducting power analysis online at <https://webpower.psychstat.org>.
Author: Zhiyong Zhang [aut, cre], Yujiao Mai [aut], Miao Yang [ctb]
Maintainer: Zhiyong Zhang <johnnyzhz@gmail.com>

Diff between WebPower versions 0.5.2 dated 2018-11-29 and 0.6 dated 2021-05-18

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Package newsmap updated to version 0.7.4 with previous version 0.7.3 dated 2020-12-18

Title: Semisupervised Model for Geographical Document Classification
Description: Semissupervised model for geographical document classification (Watanabe 2018) <doi:10.1080/21670811.2017.1293487>. This package currently contains seed dictionaries in English, German, French, Spanish, Italian, Russian, Hebrew, Arabic Japanese and Chinese (Simplified and Traditional).
Author: Kohei Watanabe [aut, cre, cph], Stefan Müller [aut], Dani Madrid-Morales [aut], Katerina Tertytchnaya [aut], Ke Cheng [aut], Chung-hong Chan [aut], Claude Grasland [aut], Giuseppe Carteny [aut], Elad Segev [aut], Dai Yamao [aut]
Maintainer: Kohei Watanabe <watanabe.kohei@gmail.com>

Diff between newsmap versions 0.7.3 dated 2020-12-18 and 0.7.4 dated 2021-05-18

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Package bccp updated to version 0.5.0 with previous version 0.3.0 dated 2021-02-02

Title: Bias Correction under Censoring Plan
Description: Developed for the following tasks. Simulating, computing maximum likelihood estimator, computing the Fisher information matrix, computing goodness-of-fit measures, and correcting bias of the ML estimator for a wide range of distributions fitted to units placed on progressive type-I interval censoring and progressive type-II censoring plans. The methods of Cox and Snell (1968) <doi:10.1111/j.2517-6161.1968.tb00724.x> and bootstrap method for computing the bias-corrected maximum likelihood estimator.
Author: Mahdi Teimouri
Maintainer: Mahdi Teimouri <teimouri@aut.ac.ir>

Diff between bccp versions 0.3.0 dated 2021-02-02 and 0.5.0 dated 2021-05-18

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