Fri, 02 Jul 2021

Package rcol updated to version 0.2.0 with previous version 0.1.0 dated 2021-02-05

Title: Catalogue of Life Client
Description: Client for the Catalogue of Life ('CoL') (<https://www.catalogueoflife.org/>); based on the new 'CoL' service, not the old one. Catalogue of Life is a database of taxonomic names. Includes functions for each of the API methods, including searching for names, and more.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>), rOpenSci [fnd] (https://ropensci.org/)
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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Package r5r updated to version 0.5.0 with previous version 0.4.0 dated 2021-04-16

Title: Rapid Realistic Routing with 'R5'
Description: Rapid realistic routing on multimodal transport networks (walk, bike, public transport and car) using 'R5', the Rapid Realistic Routing on Real-world and Reimagined networks <https://github.com/conveyal/r5>. The package allows users to generate detailed routing analysis or calculate travel time matrices using seamless parallel computing on top of the R5 Java machine.
Author: Marcus Saraiva [aut] (<https://orcid.org/0000-0001-6218-2338>), Rafael H. M. Pereira [aut, cre] (<https://orcid.org/0000-0003-2125-7465>), Daniel Herszenhut [aut] (<https://orcid.org/0000-0001-8066-1105>), Carlos Kaue Vieira Braga [aut] (<https://orcid.org/0000-0002-6104-7297>), Matthew Wigginton Conway [aut] (<https://orcid.org/0000-0002-1210-2982>), Ipea - Institue for Applied Economic Research [cph, fnd]
Maintainer: Rafael H. M. Pereira <rafa.pereira.br@gmail.com>

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Package monobin updated to version 0.1.0 with previous version 0.0.9 dated 2021-05-31

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

Diff between monobin versions 0.0.9 dated 2021-05-31 and 0.1.0 dated 2021-07-02

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Package fontawesome updated to version 0.2.2 with previous version 0.2.1 dated 2021-04-23

Title: Easily Work with 'Font Awesome' Icons
Description: Easily and flexibly insert 'Font Awesome' icons into 'R Markdown' documents and 'Shiny' apps. These icons can be inserted into HTML content through inline 'SVG' tags or 'i' tags. There is also a utility function for exporting 'Font Awesome' icons as 'PNG' images for those situations where raster graphics are needed.
Author: Richard Iannone [aut, cre] (<https://orcid.org/0000-0003-3925-190X>), Christophe Dervieux [ctb] (<https://orcid.org/0000-0003-4474-2498>), Winston Chang [ctb], Dave Gandy [ctb, cph] (Font-Awesome font), RStudio [cph, fnd]
Maintainer: Richard Iannone <rich@rstudio.com>

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Package chandwich updated to version 1.1.4 with previous version 1.1.3 dated 2020-11-07

Title: Chandler-Bate Sandwich Loglikelihood Adjustment
Description: Performs adjustments of a user-supplied independence loglikelihood function using a robust sandwich estimator of the parameter covariance matrix, based on the methodology in Chandler and Bate (2007) <doi:10.1093/biomet/asm015>. This can be used for cluster correlated data when interest lies in the parameters of the marginal distributions or for performing inferences that are robust to certain types of model misspecification. Functions for profiling the adjusted loglikelihoods are also provided, as are functions for calculating and plotting confidence intervals, for single model parameters, and confidence regions, for pairs of model parameters. Nested models can be compared using an adjusted likelihood ratio test.
Author: Paul J. Northrop [aut, cre, cph], Richard E. Chandler [aut, cph]
Maintainer: Paul J. Northrop <p.northrop@ucl.ac.uk>

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Package Andromeda updated to version 0.5.0 with previous version 0.4.1 dated 2021-05-04

Title: Asynchronous Disk-Based Representation of Massive Data
Description: Storing very large data objects on a local drive, while still making it possible to manipulate the data in an efficient manner.
Author: Adam Black [aut, cre], Martijn Schuemie [aut], Marc A. Suchard [aut], Observational Health Data Science and Informatics [cph]
Maintainer: Adam Black <black@ohdsi.org>

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Package shorts updated to version 1.1.5 with previous version 1.1.4 dated 2020-11-29

Title: Short Sprints
Description: Create short sprint (<6sec) profiles using the split times or the radar gun data. Mono-exponential equation is used to estimate maximal sprinting speed (MSS), relative acceleration (TAU), and other parameters such us maximal acceleration (MAC) and maximal relative power (PMAX). These parameters can be used to predict kinematic and kinetics variables and to compare individuals. The modeling method utilized in this package is based on the works of Chelly SM, Denis C. (2001) <doi: 10.1097/00005768-200102000-00024>, Clark KP, Rieger RH, Bruno RF, Stearne DJ. (2017) <doi: 10.1519/JSC.0000000000002081>, Furusawa K, Hill AV, Parkinson JL (1927) <doi: 10.1098/rspb.1927.0035>, Greene PR. (1986) <doi: 10.1016/0025-5564(86)90063-5>, and Samozino P. (2018) <doi: 10.1007/978-3-319-05633-3_11>.
Author: Mladen Jovanović [aut, cre], Jason D. Vescovi [dtc]
Maintainer: Mladen Jovanović <coach.mladen.jovanovic@gmail.com>

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Package gargle updated to version 1.2.0 with previous version 1.1.0 dated 2021-04-02

Title: Utilities for Working with Google APIs
Description: Provides utilities for working with Google APIs <https://developers.google.com/apis-explorer>. This includes functions and classes for handling common credential types and for preparing, executing, and processing HTTP requests.
Author: Jennifer Bryan [aut, cre] (<https://orcid.org/0000-0002-6983-2759>), Craig Citro [aut], Hadley Wickham [aut] (<https://orcid.org/0000-0003-4757-117X>), Google Inc [cph], RStudio [cph, fnd]
Maintainer: Jennifer Bryan <jenny@rstudio.com>

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Package WRS2 updated to version 1.1-2 with previous version 1.1-1 dated 2021-02-15

Title: A Collection of Robust Statistical Methods
Description: A collection of robust statistical methods based on Wilcox' WRS functions. It implements robust t-tests (independent and dependent samples), robust ANOVA (including between-within subject designs), quantile ANOVA, robust correlation, robust mediation, and nonparametric ANCOVA models based on robust location measures.
Author: Patrick Mair [cre, aut], Rand Wilcox [aut], Indrajeet Patil [ctb]
Maintainer: Patrick Mair <mair@fas.harvard.edu>

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Package qrcode updated to version 0.1.3 with previous version 0.1.1 dated 2015-08-23

Title: Generate QRcodes with R
Description: Create QRcode in R.
Author: Victor Teh [aut], Thierry Onkelinx [ctb, cre] (<https://orcid.org/0000-0001-8804-4216>)
Maintainer: Thierry Onkelinx <thierry.onkelinx@inbo.be>

Diff between qrcode versions 0.1.1 dated 2015-08-23 and 0.1.3 dated 2021-07-02

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Package spc4sts updated to version 0.5.4 with previous version 0.5.2 dated 2019-12-09

Title: Statistical Process Control for Stochastic Textured Surfaces
Description: Provides statistical process control tools for stochastic textured surfaces. The current version supports the following tools: (1) generic modeling of stochastic textured surfaces. (2) local defect monitoring and diagnostics in stochastic textured surfaces, which was proposed by Bui and Apley (2018a) <doi:10.1080/00401706.2017.1302362>. (3) global change monitoring in the nature of stochastic textured surfaces, which was proposed by Bui and Apley (2018b) <doi:10.1080/00224065.2018.1507559>. (4) computation of dissimilarity matrix of stochastic textured surface images, which was proposed by Bui and Apley (2019b) <doi:10.1016/j.csda.2019.01.019>.
Author: Anh Tuan Bui [aut, cre] and Daniel W. Apley [ths]
Maintainer: Anh Bui <atbui@u.northwestern.edu>

Diff between spc4sts versions 0.5.2 dated 2019-12-09 and 0.5.4 dated 2021-07-02

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Package tidytransit (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:

2021-05-09 1.0.0
2021-02-27 0.7.3
2020-12-04 0.7.2
2020-04-17 0.7.1

Permanent link
Package PeakError updated to version 2021.7.1 with previous version 2017.06.19 dated 2017-06-19

Title: Compute the Label Error of Peak Calls
Description: Chromatin immunoprecipitation DNA sequencing results in genomic tracks that show enriched regions or peaks where proteins are bound. This package implements fast C code that computes the true and false positives with respect to a database of annotated region labels.
Author: Toby Dylan Hocking
Maintainer: Toby Dylan Hocking <toby.hocking@r-project.org>

Diff between PeakError versions 2017.06.19 dated 2017-06-19 and 2021.7.1 dated 2021-07-02

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Package word2vec updated to version 0.3.4 with previous version 0.3.3 dated 2020-11-26

Title: Distributed Representations of Words
Description: Learn vector representations of words by continuous bag of words and skip-gram implementations of the 'word2vec' algorithm. The techniques are detailed in the paper "Distributed Representations of Words and Phrases and their Compositionality" by Mikolov et al. (2013), available at <arXiv:1310.4546>.
Author: Jan Wijffels [aut, cre, cph] (R wrapper), BNOSAC [cph] (R wrapper), Max Fomichev [ctb, cph] (Code in src/word2vec)
Maintainer: Jan Wijffels <jwijffels@bnosac.be>

Diff between word2vec versions 0.3.3 dated 2020-11-26 and 0.3.4 dated 2021-07-02

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Package RDP updated to version 0.1.5 with previous version 0.1.4 dated 2021-06-24

Title: The Ramer-Douglas-Peucker Algorithm
Description: Pretty fast implementation of the Ramer-Douglas-Peucker algorithm for reducing the number of points on a 2D curve. Urs Ramer (1972), "An iterative procedure for the polygonal approximation of plane curves" <doi:10.1016/S0146-664X(72)80017-0>. David H. Douglas and Thomas K. Peucker (1973), "Algorithms for the Reduction of the Number of Points Required to Represent a Digitized Line or its Caricature" <doi:10.3138/FM57-6770-U75U-7727>.
Author: Robert Dahl Jacobsen [aut, cre]
Maintainer: Robert Dahl Jacobsen <cran@dahl-jacobsen.dk>

Diff between RDP versions 0.1.4 dated 2021-06-24 and 0.1.5 dated 2021-07-02

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Package datamods updated to version 1.1.5 with previous version 1.1.4 dated 2021-04-20

Title: Modules to Import and Manipulate Data in 'Shiny'
Description: 'Shiny' modules to import data into an application or 'addin' from various sources, and to manipulate them after that.
Author: Victor Perrier [aut, cre, cph], Fanny Meyer [aut], Zauad Shahreer Abeer [aut]
Maintainer: Victor Perrier <victor.perrier@dreamrs.fr>

Diff between datamods versions 1.1.4 dated 2021-04-20 and 1.1.5 dated 2021-07-02

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Package BTM updated to version 0.3.6 with previous version 0.3.5 dated 2021-02-18

Title: Biterm Topic Models for Short Text
Description: Biterm Topic Models find topics in collections of short texts. It is a word co-occurrence based topic model that learns topics by modeling word-word co-occurrences patterns which are called biterms. This in contrast to traditional topic models like Latent Dirichlet Allocation and Probabilistic Latent Semantic Analysis which are word-document co-occurrence topic models. A biterm consists of two words co-occurring in the same short text window. This context window can for example be a twitter message, a short answer on a survey, a sentence of a text or a document identifier. The techniques are explained in detail in the paper 'A Biterm Topic Model For Short Text' by Xiaohui Yan, Jiafeng Guo, Yanyan Lan, Xueqi Cheng (2013) <https://github.com/xiaohuiyan/xiaohuiyan.github.io/blob/master/paper/BTM-WWW13.pdf>.
Author: Jan Wijffels [aut, cre, cph] (R wrapper), BNOSAC [cph] (R wrapper), Xiaohui Yan [ctb, cph] (BTM C++ library)
Maintainer: Jan Wijffels <jwijffels@bnosac.be>

Diff between BTM versions 0.3.5 dated 2021-02-18 and 0.3.6 dated 2021-07-02

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Package acumos updated to version 0.4-4 with previous version 0.4-1 dated 2020-10-15

Title: 'Acumos' R Interface
Description: Create, upload and run 'Acumos' R models. 'Acumos' (<https://www.acumos.org>) is a platform and open source framework intended to make it easy to build, share, and deploy AI apps. 'Acumos' is part of the 'LF AI Foundation', an umbrella organization within 'The Linux Foundation'. With this package, user can create a component, and push it to an 'Acumos' platform.
Author: Simon Urbanek [aut], Alassane Samba [aut, cre], AT&T [cph], Tech Mahindra [cph], Orange [cph]
Maintainer: Alassane Samba <alassane.samba@orange.com>

Diff between acumos versions 0.4-1 dated 2020-10-15 and 0.4-4 dated 2021-07-02

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Package SSBtools updated to version 1.2.0 with previous version 1.1.0 dated 2021-04-23

Title: Statistics Norway's Miscellaneous Tools
Description: Functions used by other packages from Statistics Norway are gathered. General data manipulation functions, and functions for hierarchical computations are included (Langsrud, 2020) <doi:10.13140/RG.2.2.27313.61283>. The hierarchy specification functions are useful within statistical disclosure control.
Author: Øyvind Langsrud [aut, cre], Daniel Lupp [aut], Bjørn-Helge Mevik [cph]
Maintainer: Øyvind Langsrud <oyl@ssb.no>

Diff between SSBtools versions 1.1.0 dated 2021-04-23 and 1.2.0 dated 2021-07-02

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New package refreg with initial version 0.1.0
Package: refreg
Title: Conditional Multivariate Reference Regions
Version: 0.1.0
Authors@R: c( person("Óscar", "Lado-Baleato",email="oscarlado.baleato@usc.es", role =c("cre","aut")), person("Javier", "Roca-Pardiñas", email="roca@uvigo.es", role =c("aut", "ctb")), person("Carmen", "Cadarso-Suárez",email="carmen.cadarso@usc.es", role = c("aut", "ths")), person("Gude","Francisco",email="francisco.gude.sampedro@sergas.es", role = c("aut", "ths")) )
Maintainer: Óscar Lado-Baleato <oscarlado.baleato@usc.es>
Description: An R package for estimating conditional multivariate reference regions. The reference region is non parametrically estimated using a kernel density estimator. Covariates effects on the multivariate response means vector and variance-covariance matrix, thus on the region shape, are estimated by flexible additive predictors. Continuous covariates non linear effects might be estimated using penalized splines smoothers. Confidence intervals for the covariates estimated effects might be derived from bootstrap resampling. Kernel density bandwidth can be estimated with different methods, including a method that optimize the region coverage. Numerical, and graphical, summaries can be obtained by the user in order to evaluate reference region performance with real data. Full mathematical details can be found in <doi:10.1007/s00477-020-01901-1>.
Imports: ks,KernSmooth,mgcv,gridExtra,ggplot2,RColorBrewer,sp,stringr,foreach,doParallel,pracma,misc3d,rgl,mbend,matrixcalc
License: GPL-2
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2021-07-01 16:21:50 UTC; Usuario
Author: Óscar Lado-Baleato [cre, aut], Javier Roca-Pardiñas [aut, ctb], Carmen Cadarso-Suárez [aut, ths], Gude Francisco [aut, ths]
Repository: CRAN
Date/Publication: 2021-07-02 07:10:02 UTC

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New package phase with initial version 1.1.1
Package: phase
Title: Analyse Biological Time-Series Data
Version: 1.1.1
Authors@R: person(given = "Lakshman", family = "Abhilash", role = c("aut", "cre"), email = "labhilash@gc.cuny.edu", comment = c(ORCID = "https://orcid.org/0000-0002-9933-8989"))
Description: Compiles functions to trim, bin, visualise, and analyse activity/sleep time-series data collected from the Drosophila Activity Monitor (DAM) system (Trikinetics, USA). The following methods were used to compute periodograms - Chi-square periodogram: Sokolove and Bushell (1978) <doi:10.1016/0022-5193(78)90022-X>, Lomb-Scargle periodogram: Lomb (1976) <doi:10.1007/BF00648343>, Scargle (1982) <doi:10.1086/160554> and Ruf (1999) <doi:10.1076/brhm.30.2.178.1422>, and Autocorrelation: Eijzenbach et al. (1986) <doi:10.1111/j.1440-1681.1986.tb00943.x>. Identification of activity peaks is done after using a Savitzky-Golay filter (Savitzky and Golay (1964) <doi:10.1021/ac60214a047>) to smooth raw activity data. Three methods to estimate anticipation of activity are used based on the following papers - Slope method: Fernandez et al. (2020) <doi:10.1016/j.cub.2020.04.025>, Harrisingh method: Harrisingh et al. (2007) <doi:10.1523/JNEUROSCI.3680-07.2007>, and Stoleru method: Stoleru et al. (2004) <doi:10.1038/nature02926>. Rose plots and circular analysis are based on methods from - Batschelet (1981) <ISBN:0120810506> and Zar (2010) <ISBN:0321656865>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2021-07-01 21:19:05 UTC; abhilashlakshman
Author: Lakshman Abhilash [aut, cre] (<https://orcid.org/0000-0002-9933-8989>)
Maintainer: Lakshman Abhilash <labhilash@gc.cuny.edu>
Imports: circular, lubridate, plotly, pracma, signal, zeitgebr, zoo, behavr
Depends: R (>= 2.10)
Repository: CRAN
Date/Publication: 2021-07-02 07:10:05 UTC

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New package mlfit with initial version 0.5.2
Package: mlfit
Title: Iterative Proportional Fitting Algorithms for Nested Structures
Version: 0.5.2
Date: 2021-07-02
Authors@R: c( person( given = "Kirill", family = "Müller", role = c("aut", "cph"), comment = "Creator of the package" ), person( given = "Kay W.", family = "Axhausen", role = "ths", comment = "Advisor of Kirill Müller" ), person( given = "Amarin", family = "Siripanich", role = c("aut", "cre"), email = "amarin.siri@gmail.com", comment = "Contributed `ml_replicate()`" ), person( given = "Taha H.", family = "Rashidi", role = "ths", comment = "Advisor of Amarin Siripanich" ) )
Description: The Iterative Proportional Fitting (IPF) algorithm operates on count data. This package offers implementations for several algorithms that extend this to nested structures: 'parent' and 'child' items for both of which constraints can be provided. The fitting algorithms include Iterative Proportional Updating <https://trid.trb.org/view/881554>, Hierarchical IPF <doi:10.3929/ethz-a-006620748>, Entropy Optimization <https://trid.trb.org/view/881144>, and Generalized Raking <doi:10.2307/2290793>. Additionally, a number of replication methods is also provided such as 'Truncate, replicate, sample' <doi:10.1016/j.compenvurbsys.2013.03.004>.
License: GPL (>= 3)
URL: https://mlfit.github.io/mlfit/, https://github.com/mlfit/mlfit
BugReports: https://github.com/mlfit/mlfit/issues
Depends: methods
Imports: BB, dplyr, hms, kimisc, Matrix, plyr, tibble, forcats, rlang, utils, wrswoR, lifecycle
Suggests: covr, testthat, MASS, sampling, XML, waldo
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-07-02 06:27:30 UTC; amarin
Author: Kirill Müller [aut, cph] (Creator of the package), Kay W. Axhausen [ths] (Advisor of Kirill Müller), Amarin Siripanich [aut, cre] (Contributed `ml_replicate()`), Taha H. Rashidi [ths] (Advisor of Amarin Siripanich)
Maintainer: Amarin Siripanich <amarin.siri@gmail.com>
Repository: CRAN
Date/Publication: 2021-07-02 07:20:02 UTC

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New package rgoogleads with initial version 0.1.1
Package: rgoogleads
Title: Loading Data from 'Google Ads API'
Version: 0.1.1
Authors@R: c(person(given = "Alexey", family = "Seleznev", role = c("aut", "cre"), email = "selesnow@gmail.com", comment = c(ORCID = "0000-0003-0410-7385")), person(given = "Netpeak", role = c("cph")))
Description: Interface for loading data from 'Google Ads API', see <https://developers.google.com/google-ads/api/docs/start>. Package provide function for authorization and loading reports.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: gargle, httr, stringr, rlang, dplyr (>= 1.0.0), tidyr (>= 1.0.0), jsonlite, snakecase, cli (>= 2.5.0.9000), pbapply, purrr, withr, rlist
NeedsCompilation: no
Packaged: 2021-07-01 08:54:54 UTC; Alsey
Author: Alexey Seleznev [aut, cre] (<https://orcid.org/0000-0003-0410-7385>), Netpeak [cph]
Maintainer: Alexey Seleznev <selesnow@gmail.com>
Repository: CRAN
Date/Publication: 2021-07-02 06:50:02 UTC

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New package npwbs with initial version 0.1.0
Package: npwbs
Title: Nonparametric Multiple Change Point Detection Using WBS
Version: 0.1.0
Author: Gordon J. Ross
Maintainer: Gordon J. Ross <gordon.ross@ed.ac.uk>
Description: Implements the procedure from G. J. Ross (2021) - "Nonparametric Detection of Multiple Location-Scale Change Points via Wild Binary Segmentation". This uses a version of Wild Binary Segmentation to detect location-scale (i.e. mean and/or variance) changes in a sequence of univariate observations.
Depends: R (>= 3.6.0)
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-07-01 12:40:34 UTC; gotdonross
Repository: CRAN
Date/Publication: 2021-07-02 07:00:02 UTC

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Package interactions updated to version 1.1.5 with previous version 1.1.3 dated 2020-04-04

Title: Comprehensive, User-Friendly Toolkit for Probing Interactions
Description: A suite of functions for conducting and interpreting analysis of statistical interaction in regression models that was formerly part of the 'jtools' package. Functionality includes visualization of two- and three-way interactions among continuous and/or categorical variables as well as calculation of "simple slopes" and Johnson-Neyman intervals (see e.g., Bauer & Curran, 2005 <doi:10.1207/s15327906mbr4003_5>). These capabilities are implemented for generalized linear models in addition to the standard linear regression context.
Author: Jacob A. Long [aut, cre] (<https://orcid.org/0000-0002-1582-6214>)
Maintainer: Jacob A. Long <jacob.long@sc.edu>

Diff between interactions versions 1.1.3 dated 2020-04-04 and 1.1.5 dated 2021-07-02

 interactions-1.1.3/interactions/tests/figs                          |only
 interactions-1.1.5/interactions/DESCRIPTION                         |   13 
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 interactions-1.1.5/interactions/NAMESPACE                           |   22 
 interactions-1.1.5/interactions/NEWS.md                             |  330 
 interactions-1.1.5/interactions/R/interact_plot.R                   | 1460 +-
 interactions-1.1.5/interactions/R/johnson_neyman.R                  | 1250 +-
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 interactions-1.1.5/interactions/R/simple_slopes.R                   | 2238 +--
 interactions-1.1.5/interactions/README.md                           |  330 
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 interactions-1.1.5/interactions/man/plot.sim_margins.Rd             |    2 
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 interactions-1.1.5/interactions/man/reexports.Rd                    |   32 
 interactions-1.1.5/interactions/man/sim_margins.Rd                  |    4 
 interactions-1.1.5/interactions/man/sim_margins_tidiers.Rd          |    2 
 interactions-1.1.5/interactions/man/sim_slopes.Rd                   |    2 
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 interactions-1.1.5/interactions/tests/testthat/test_cat_plot.R      |  551 
 interactions-1.1.5/interactions/tests/testthat/test_interact_plot.R |  498 
 interactions-1.1.5/interactions/vignettes/categorical.Rmd           |  285 
 interactions-1.1.5/interactions/vignettes/interactions.Rmd          | 1411 +-
 33 files changed, 8489 insertions(+), 11446 deletions(-)

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Package InSilicoVA updated to version 1.3.3 with previous version 1.3.2 dated 2021-05-26

Title: Probabilistic Verbal Autopsy Coding with 'InSilicoVA' Algorithm
Description: Computes individual causes of death and population cause-specific mortality fractions using the 'InSilicoVA' algorithm from McCormick et al. (2016) <DOI:10.1080/01621459.2016.1152191>. It uses data derived from verbal autopsy (VA) interviews, in a format similar to the input of the widely used 'InterVA4' method. This package provides general model fitting and customization for 'InSilicoVA' algorithm and basic graphical visualization of the output.
Author: Zehang Richard Li, Tyler McCormick, Sam Clark
Maintainer: Zehang Richard Li <lizehang@gmail.com>

Diff between InSilicoVA versions 1.3.2 dated 2021-05-26 and 1.3.3 dated 2021-07-02

 DESCRIPTION           |    8 ++++----
 MD5                   |   10 +++++-----
 NEWS.md               |    4 ++++
 R/insilico_core.r     |   40 ++++++++++++++++++++++++++++++++++++----
 R/insilico_standard.r |    6 ++++--
 man/insilico.Rd       |    5 ++++-
 6 files changed, 57 insertions(+), 16 deletions(-)

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New package hhcartr with initial version 1.0.0
Package: hhcartr
Title: HHCART(G) - A Reflected Feature Space for CART
Version: 1.0.0
Authors@R: person("Phil", "Davies", email="phil.davies@pg.canterbury.ac.nz", role=c('aut','cre'))
Author: Phil Davies [aut, cre]
Maintainer: Phil Davies <phil.davies@pg.canterbury.ac.nz>
Description: An implementation of the HHCART-G algorithm as described in the paper - Wickramarachchi C, Robertson B, Reale M, Price C, Brown J (2019). 'A reflected feature space for CART.' Australian & New Zealand Journal of Statistics, 61, 380–391. <doi:10.1111/anzs.12275>.
Depends: R (>= 3.6.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: checkmate, hash, Matrix, DiagrammeR, ggplot2, DiagrammeRsvg, captioner, rsvg, bookdown,
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-07-01 09:15:07 UTC; phil
Repository: CRAN
Date/Publication: 2021-07-02 07:00:08 UTC

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New package BayesTools with initial version 0.1.0
Package: BayesTools
Title: Tools for Bayesian Analyses
Version: 0.1.0
Description: Provides tools for conducting Bayesian analyses. The package contains functions for creating a wide range of prior distribution objects, mixing posterior samples from 'JAGS' and 'Stan' models, plotting posterior distributions, and etc... The tools for working with prior distribution span from visualization, generating 'JAGS' and 'bridgesampling' syntax to basic functions such as rng, quantile, and distribution functions.
Maintainer: František Bartoš <f.bartos96@gmail.com>
Authors@R: c( person("František", "Bartoš", role = c("aut", "cre"), email = "f.bartos96@gmail.com", comment = c(ORCID = "0000-0002-0018-5573")) )
URL: https://fbartos.github.io/BayesTools/
BugReports: https://github.com/FBartos/BayesTools/issues
License: GPL-3
Encoding: UTF-8
Depends: stats
Imports: graphics, extraDistr, runjags, coda, bridgesampling, parallel, rstan
Suggests: ggplot2, scales, testthat, vdiffr, covr, rjags
NeedsCompilation: no
Packaged: 2021-07-01 09:03:15 UTC; fbart
Author: František Bartoš [aut, cre] (<https://orcid.org/0000-0002-0018-5573>)
Repository: CRAN
Date/Publication: 2021-07-02 07:00:21 UTC

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New package bayesnec with initial version 1.0.1
Package: bayesnec
Title: A Bayesian No-Effect- Concentration (NEC) Algorithm
Version: 1.0.1
Authors@R: c(person("Rebecca", "Fisher", email = "r.fisher@aims.gov.au", role = c("aut", "cre")), person("Diego","Barneche",role="aut"), person("Gerard","Ricardo",role="aut"), person("David","Fox",role="aut"))
Description: Implementation of No-Effect-Concentration estimation that uses 'brms' (see Burkner (2017)<doi:10.18637/jss.v080.i01>; Burkner (2018)<doi:10.32614/RJ-2018-017>; Carpenter 'et al.' (2017)<doi:10.18637/jss.v076.i01> to fit concentration(dose)-response data using Bayesian methods for the purpose of estimating 'ECX' values, but more particularly 'NEC' (see Fox (2010)<doi:10.1016/j.ecoenv.2009.09.012>. This package expands and supersedes an original version implemented in R2jags, see Fisher, Ricardo and Fox (2020)<doi:10.5281/ZENODO.3966864>.
Depends: R (>= 4.0), brms
License: GPL-2
Encoding: UTF-8
LazyData: true
Biarch: true
Imports: loo, extraDistr, dplyr, tidyr, purrr, tidyselect, lazyeval, ggplot2, evaluate, rlang
Suggests: rstan, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://open-aims.github.io/bayesnec/
BugReports: https://github.com/open-aims/bayesnec/issues
NeedsCompilation: no
Packaged: 2021-07-01 09:21:11 UTC; dbarneche
Author: Rebecca Fisher [aut, cre], Diego Barneche [aut], Gerard Ricardo [aut], David Fox [aut]
Maintainer: Rebecca Fisher <r.fisher@aims.gov.au>
Repository: CRAN
Date/Publication: 2021-07-02 07:00:13 UTC

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Package galah updated to version 1.2.0 with previous version 1.1.0 dated 2021-05-05

Title: Atlas of Living Australia (ALA) Data and Resources in R
Description: The Atlas of Living Australia ('ALA') provides tools to enable users of biodiversity information to find, access, combine and visualise data on Australian plants and animals; these have been made available from <https://ala.org.au/>. 'galah' provides a subset of the tools to be directly used within R. It enables the R community to directly access data and resources hosted by the 'ALA'.
Author: Matilda Stevenson [aut, cre], Martin Westgate [aut], Peggy Newman [aut], Dax Kellie [ctb]
Maintainer: Matilda Stevenson <matilda.stevenson@csiro.au>

Diff between galah versions 1.1.0 dated 2021-05-05 and 1.2.0 dated 2021-07-02

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 tests/testthat/test-select_locations.R   |   10 +
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 57 files changed, 897 insertions(+), 626 deletions(-)

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Package bsts updated to version 0.9.7 with previous version 0.9.6 dated 2021-04-07

Title: Bayesian Structural Time Series
Description: Time series regression using dynamic linear models fit using MCMC. See Scott and Varian (2014) <DOI:10.1504/IJMMNO.2014.059942>, among many other sources.
Author: Steven L. Scott <steve.the.bayesian@gmail.com>
Maintainer: Steven L. Scott <steve.the.bayesian@gmail.com>

Diff between bsts versions 0.9.6 dated 2021-04-07 and 0.9.7 dated 2021-07-02

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 bsts-0.9.7/bsts/NAMESPACE                                    |    8 -
 bsts-0.9.7/bsts/inst/tests/testthat/test-dirm.R              |    8 -
 bsts-0.9.7/bsts/inst/tests/testthat/test-multivariate.R      |   35 +++----
 bsts-0.9.7/bsts/inst/tests/testthat/test-prediction-errors.R |    2 
 bsts-0.9.7/bsts/inst/tests/testthat/test-regressionholiday.R |    4 
 13 files changed, 37 insertions(+), 78 deletions(-)

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