Fri, 09 Jul 2021

New package VancouvR with initial version 0.1.6
Package: VancouvR
Title: Access the 'City of Vancouver' Open Data API
Version: 0.1.6
Author: Jens von Bergmann
Maintainer: Jens von Bergmann <jens@mountainmath.ca>
Description: Wrapper around the 'City of Vancouver' Open Data API <https://opendata.vancouver.ca/api/v2/console> to simplify and standardize access to 'City of Vancouver' open data. Functionality to list the data catalogue and access data and geographic records.
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Imports: dplyr, httr, rlang, urltools, readr, digest, sf, tibble, purrr
Suggests: knitr, rmarkdown, ggplot2, lwgeom, tidyr
VignetteBuilder: knitr
URL: https://github.com/mountainMath/VancouvR, https://mountainmath.github.io/VancouvR/
BugReports: https://github.com/mountainMath/VancouvR/issues
Packaged: 2021-07-08 23:36:30 UTC; jens
Repository: CRAN
Date/Publication: 2021-07-09 23:00:09 UTC

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Package popsom updated to version 5.2 with previous version 5.1 dated 2021-01-04

Title: A Very Efficient Implementation of Kohonen's Self-Organizing Maps (SOMs) with Starburst Visualizations
Description: Kohonen's self-organizing maps with a number of distinguishing features: (1) A very efficient, single threaded, stochastic training algorithm based on ideas from tensor algebra. Up to 60x faster than traditional single-threaded training algorithms. No special accelerator hardware required. (2) Automatic centroid detection and visualization using starbursts. (3) Two models of the data: (a) a self-organizing map model, (b) a centroid based clustering model. (4) A number of easily accessible quality metrics for the self-organizing map and the centroid based cluster model.
Author: Lutz Hamel [aut, cre], Benjamin Ott [aut], Gregory Breard [aut], Robert Tatoian [aut], Michael Eiger [aut], Vishakh Gopu [aut]
Maintainer: Lutz Hamel <lutzhamel@uri.edu>

Diff between popsom versions 5.1 dated 2021-01-04 and 5.2 dated 2021-07-09

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Package mase updated to version 0.1.3 with previous version 0.1.2 dated 2018-10-12

Title: Model-Assisted Survey Estimators
Description: A set of model-assisted survey estimators and corresponding variance estimators for single stage, unequal probability, without replacement sampling designs. All of the estimators can be written as a generalized regression estimator with the Horvitz-Thompson, ratio, post-stratified, and regression estimators summarized by Sarndal et al. (1992, ISBN:978-0-387-40620-6). Two of the estimators employ a statistical learning model as the assisting model: the elastic net regression estimator, which is an extension of the lasso regression estimator given by McConville et al. (2017) <doi:10.1093/jssam/smw041>, and the regression tree estimator described in McConville and Toth (2017) <arXiv:1712.05708>. The variance estimators which approximate the joint inclusion probabilities can be found in Berger and Tille (2009) <doi:10.1016/S0169-7161(08)00002-3> and the bootstrap variance estimator is presented in Mashreghi et al. (2016) <doi:10.1214/16-SS113>.
Author: Kelly McConville [aut, cre, cph], Becky Tang [aut], George Zhu [aut], Sida Li [ctb], Shirley Chueng [ctb], Daniell Toth [ctb]
Maintainer: Kelly McConville <mcconville@reed.edu>

Diff between mase versions 0.1.2 dated 2018-10-12 and 0.1.3 dated 2021-07-09

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Package covatest updated to version 1.2.0 with previous version 1.1.4 dated 2021-05-28

Title: Tests on Properties of Space-Time Covariance Functions
Description: Tests on properties of space-time covariance functions. Tests on symmetry, separability and for assessing different forms of non-separability are available. Moreover tests on some classes of covariance functions, such that the classes of product-sum models, Gneiting models and integrated product models have been provided. It is the companion R package to the papers of Cappello, C., De Iaco, S., Posa, D., 2018, Testing the type of non-separability and some classes of space-time covariance function models <doi:10.1007/s00477-017-1472-2> and Cappello, C., De Iaco, S., Posa, D., 2020, covatest: an R package for selecting a class of space-time covariance functions <doi:10.18637/jss.v094.i01>.
Author: Sandra De Iaco [aut, cre], Claudia Cappello [aut], Donato Posa [aut], Sabrina Maggio [ctb]
Maintainer: Sandra De Iaco <sandra.deiaco@unisalento.it>

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Package archive updated to version 1.0.1 with previous version 1.0.0 dated 2021-06-30

Title: Multi-Format Archive and Compression Support
Description: Bindings to 'libarchive' <http://www.libarchive.org> the Multi-format archive and compression library. Offers R connections and direct extraction for many archive formats including 'tar', 'ZIP', '7-zip', 'RAR', 'CAB' and compression formats including 'gzip', 'bzip2', 'compress', 'lzma' and 'xz'.
Author: Jim Hester [aut, cre] (<https://orcid.org/0000-0002-2739-7082>), Ondrej Holy [cph] (archive_write_add_filter implementation), RStudio [cph, fnd]
Maintainer: Jim Hester <jim.hester@rstudio.com>

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Package IsoplotR updated to version 4.1 with previous version 4.0 dated 2021-06-06

Title: Statistical Toolbox for Radiometric Geochronology
Description: Plots U-Pb data on Wetherill and Tera-Wasserburg concordia diagrams. Calculates concordia and discordia ages. Performs linear regression of measurements with correlated errors using 'York', 'Titterington' and 'Ludwig' approaches. Generates Kernel Density Estimates (KDEs) and Cumulative Age Distributions (CADs). Produces Multidimensional Scaling (MDS) configurations and Shepard plots of multi-sample detrital datasets using the Kolmogorov-Smirnov distance as a dissimilarity measure. Calculates 40Ar/39Ar ages, isochrons, and age spectra. Computes weighted means accounting for overdispersion. Calculates U-Th-He (single grain and central) ages, logratio plots and ternary diagrams. Processes fission track data using the external detector method and LA-ICP-MS, calculates central ages and plots fission track and other data on radial (a.k.a. 'Galbraith') plots. Constructs total Pb-U, Pb-Pb, Th-Pb, K-Ca, Re-Os, Sm-Nd, Lu-Hf, Rb-Sr and 230Th-U isochrons as well as 230Th-U evolution plots.
Author: Pieter Vermeesch [aut, cre]
Maintainer: Pieter Vermeesch <p.vermeesch@ucl.ac.uk>

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Package deepdive updated to version 1.0.3 with previous version 1.0.2 dated 2021-04-01

Title: Deep Learning for General Purpose
Description: Aims to provide simple intuitive functions to create quick prototypes of artificial neural network or deep learning models. In addition novel ensemble models like 'deeptree' and 'deepforest' has been included which combines decision trees and neural network.
Author: Rajesh Balakrishnan
Maintainer: Rajesh Balakirshnan <rajeshbalakrishnan24@gmail.com>

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Package maxnet updated to version 0.1.4 with previous version 0.1.2 dated 2017-02-10

Title: Fitting 'Maxent' Species Distribution Models with 'glmnet'
Description: Procedures to fit species distributions models from occurrence records and environmental variables, using 'glmnet' for model fitting. Model structure is the same as for the 'Maxent' Java package, version 3.4.0, with the same feature types and regularization options. See the 'Maxent' website <http://biodiversityinformatics.amnh.org/open_source/maxent> for more details.
Author: Steven Phillips
Maintainer: Steven Phillips <mrmaxent@gmail.com>

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Package r2dii.data updated to version 0.2.1 with previous version 0.2.0 dated 2021-06-29

Title: Datasets to Measure the Alignment of Corporate Loan Books with Climate Goals
Description: These datasets support the implementation in R of the software 'PACTA' (Paris Agreement Capital Transition Assessment), which is a free tool that calculates the alignment between corporate lending portfolios and climate scenarios (<https://2degrees-investing.org/>). Financial institutions use 'PACTA' to study how their capital allocation decisions align with climate change mitigation goals. Because both financial institutions and market data providers keep their data private, this package provides fake, public data to enable the development and use of 'PACTA' in R.
Author: Mauro Lepore [aut, cre, ctr] (<https://orcid.org/0000-0002-1986-7988>), Jackson Hoffart [aut, dtc] (<https://orcid.org/0000-0002-8600-5042>), Klaus Hagedorn [aut], 2 Degrees Investing Initiative [cph, fnd]
Maintainer: Mauro Lepore <maurolepore@gmail.com>

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Package NHSDataDictionaRy updated to version 1.2.5 with previous version 1.2.4 dated 2021-06-21

Title: NHS Data Dictionary Toolset for NHS Lookups
Description: Providing a common set of simplified web scraping tools for working with the NHS Data Dictionary <https://datadictionary.nhs.uk/data_elements_overview.html>. The intended usage is to access the data elements section of the NHS Data Dictionary to access key lookups. The benefits of having it in this package are that the lookups are the live lookups on the website and will not need to be maintained. This package was commissioned by the NHS-R community <https://nhsrcommunity.com/> to provide this consistency of lookups. The OpenSafely lookups have now been added <https://www.opencodelists.org/docs/>.
Author: Gary Hutson [aut, cre] (<https://orcid.org/0000-0003-3534-6143>), Calum Polwart [aut], Tom Jemmett [aut] (<https://orcid.org/0000-0002-6943-2990>)
Maintainer: Gary Hutson <hutsons-hacks@outlook.com>

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Package LaplacesDemon updated to version 16.1.6 with previous version 16.1.4 dated 2020-02-06

Title: Complete Environment for Bayesian Inference
Description: Provides a complete environment for Bayesian inference using a variety of different samplers (see ?LaplacesDemon for an overview).
Author: Byron Hall [aut], Martina Hall [aut], Statisticat, LLC [aut], Eric Brown [ctb], Richard Hermanson [ctb], Emmanuel Charpentier [ctb], Daniel Heck [ctb], Stephane Laurent [ctb], Quentin F. Gronau [ctb], Henrik Singmann [cre]
Maintainer: Henrik Singmann <singmann+LaplacesDemon@gmail.com>

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Package fusen updated to version 0.2.2 with previous version 0.2.1 dated 2021-07-08

Title: Build a Package from Rmarkdown File
Description: Use Rmarkdown First method to build your package. Start your package with documentation, functions, examples and tests in the same unique file. Everything can be set from the Rmarkdown template file provided in your project, then inflated as a package. Inflating the template copies the relevant chunks and sections in the appropriate files required for package development.
Author: Sebastien Rochette [aut, cre] (<https://orcid.org/0000-0002-1565-9313>), ThinkR [cph]
Maintainer: Sebastien Rochette <sebastien@thinkr.fr>

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Package dcortools updated to version 0.1.2 with previous version 0.1.1 dated 2021-07-08

Title: Providing Fast and Flexible Functions for Distance Correlation Analysis
Description: Providing functionalities for calculating association measures and dependence tests based on distance covariance and distance correlation.
Author: Dominic Edelmann [aut, cre], Jochen Fiedler [aut]
Maintainer: Dominic Edelmann <dominic.edelmann@dkfz-heidelberg.de>

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Package Rwave updated to version 2.5-0 with previous version 2.4-8 dated 2018-01-20

Title: Time-Frequency Analysis of 1-D Signals
Description: A set of R functions which provide an environment for the Time-Frequency analysis of 1-D signals (and especially for the wavelet and Gabor transforms of noisy signals). It was originally written for Splus by Rene Carmona, Bruno Torresani, and Wen L. Hwang, first at the University of California at Irvine and then at Princeton University. Credit should also be given to Andrea Wang whose functions on the dyadic wavelet transform are included. Rwave is based on the book: "Practical Time-Frequency Analysis: Gabor and Wavelet Transforms with an Implementation in S", by Rene Carmona, Wen L. Hwang and Bruno Torresani (1998, eBook ISBN:978008053942), Academic Press.
Author: Rene Carmona [aut], Bruno Torresani [aut], Brandon Whitcher [ctb], Andrea Wang [ctb], Wen-Liang Hwang [ctb], Jonathan M. Lees [ctb, cre]
Maintainer: Jonathan M. Lees <jonathan.lees@unc.edu>

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Package r2dii.analysis updated to version 0.1.10 with previous version 0.1.9 dated 2021-06-30

Title: Tools to Measure Climate Scenario Alignment of Corporate Lending Portfolios
Description: These tools help you to assess if a corporate lending portfolio aligns with climate goals. They summarize key climate indicators attributed to the portfolio (e.g. production, emission factors), and calculate alignment targets based on climate scenarios. They implement in R the last step of the free software 'PACTA' (Paris Agreement Capital Transition Assessment; <https://2degrees-investing.org/>). Financial institutions use 'PACTA' to study how their capital allocation decisions align with climate change mitigation goals.
Author: Jackson Hoffart [aut, cre] (<https://orcid.org/0000-0002-8600-5042>), Mauro Lepore [aut, ctr] (<https://orcid.org/0000-0002-1986-7988>), Klaus Hogedorn [aut], 2 Degrees Investing Initiative [cph, fnd]
Maintainer: Jackson Hoffart <jackson.hoffart@gmail.com>

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Package sensitivity updated to version 1.26.0 with previous version 1.25.0 dated 2021-03-20

Title: Global Sensitivity Analysis of Model Outputs
Description: A collection of functions for factor screening, global sensitivity analysis and robustness analysis. Most of the functions have to be applied on model with scalar output, but several functions support multi-dimensional outputs.
Author: Bertrand Iooss, Sebastien Da Veiga, Alexandre Janon and Gilles Pujol, with contributions from Baptiste Broto, Khalid Boumhaout, Thibault Delage, Reda El Amri, Jana Fruth, Laurent Gilquin, Joseph Guillaume, Marouane Il Idrissi, Loic Le Gratiet, Paul Lemaitre, Amandine Marrel, Anouar Meynaoui, Barry L. Nelson, Filippo Monari, Roelof Oomen, Oldrich Rakovec, Bernardo Ramos, Olivier Roustant, Eunhye Song, Jeremy Staum, Roman Sueur, Taieb Touati, Frank Weber
Maintainer: Bertrand Iooss <biooss@yahoo.fr>

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New package warabandi with initial version 0.1.0
Package: warabandi
Title: Roster Generation of Turn for Weekdays:'warabandi'
Version: 0.1.0
Author: Harvinder Singh
Maintainer: Harvinder Singh <harvindermaan4@gmail.com>
Description: It generates the roster of turn for an outlet which is flowing (water) 24X7 or 168 hours towards the area under command or agricutural area (to be irrigated). The area under command is differentially owned by different individual farmers. The Outlet runs for free of cost to irrigate the area under command 24X7. So, flow time of the outlet has to be divided based on an area owned by an individual farmer and the location of his land or farm. This roster is known as 'warabandi' and its generation in agriculture practices is a very tedious task. Calculations of time in microseconds are more error-prone, especially whenever it is performed by hands. That division of flow time for an individual farmer can be calculated by 'warabandi'. However, it generates a full publishable report for an outlet and all the farmers who have farms subjected to be irrigated. It reduces error risk and makes a more reproducible roster. For more details about warabandi system you can found elsewhere in Bandaragoda DJ(1995) <https://publications.iwmi.org/pdf/H_17571i.pdf>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: lubridate, utils, readtext, flextable
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2021-07-08 11:34:51 UTC; harrymaan
Repository: CRAN
Date/Publication: 2021-07-09 08:20:02 UTC

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New package twoxtwo with initial version 0.1.0
Package: twoxtwo
Title: Work with Two-by-Two Tables
Version: 0.1.0
Authors@R: c(person("VP", "Nagraj", role = c("aut", "cre"), email = "nagraj@nagraj.net"))
Maintainer: VP Nagraj <nagraj@nagraj.net>
Description: A collection of functions for data analysis with two-by-two contingency tables. The package provides tools to compute measures of effect (odds ratio, risk ratio, and risk difference), calculate impact numbers and attributable fractions, and perform hypothesis testing. Statistical analysis methods are oriented towards epidemiological investigation of relationships between exposures and outcomes.
Imports: dplyr, tidyr, forcats, magrittr, rlang, knitr
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: testthat, lifecycle, rmarkdown, ggplot2, purrr
Depends: R (>= 2.10)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-07-08 22:40:00 UTC; vpnagraj
Author: VP Nagraj [aut, cre]
Repository: CRAN
Date/Publication: 2021-07-09 09:00:02 UTC

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New package SeqNet with initial version 1.1.3
Package: SeqNet
Title: Generate RNA-Seq Data from Gene-Gene Association Networks
Version: 1.1.3
Authors@R: c(person("Tyler", "Grimes", role = c("aut", "cre"), email = "tyler.grimes@unf.edu"), person("Somnath", "Datta", role = c("aut")))
Author: Tyler Grimes [aut, cre], Somnath Datta [aut]
Maintainer: Tyler Grimes <tyler.grimes@unf.edu>
Description: Methods to generate random gene-gene association networks and simulate RNA-seq data from them, as described in Grimes and Datta (2021) <doi:10.18637/jss.v098.i12>. Includes functions to generate random networks of any size and perturb them to obtain differential networks. Network objects are built from individual, overlapping modules that represent pathways. The resulting network has various topological properties that are characteristic of gene regulatory networks. RNA-seq data can be generated such that the association among gene expression profiles reflect the underlying network. A reference RNA-seq dataset can be provided to model realistic marginal distributions. Plotting functions are available to visualize a network, compare two networks, and compare the expression of two genes across multiple networks.
Depends: R (>= 4.0.0)
Imports: fitdistrplus, ggplot2, grDevices, graphics, igraph, mvtnorm, purrr, tibble, Rcpp, rlang, Rdpack, stats, utils, methods
Suggests: knitr, rmarkdown, testthat
RdMacros: Rdpack
License: GPL-2 | GPL-3
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2021-07-08 13:06:56 UTC; Grimes
Repository: CRAN
Date/Publication: 2021-07-09 08:20:08 UTC

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New package RamanMP with initial version 1.0
Package: RamanMP
Title: Analysis and Identification of Raman Spectra of Microplastics
Version: 1.0
Author: Veronica Nava [aut, cre], Maria Luce Frezzotti [ctb], Barbara Leoni [ctb]
Maintainer: Veronica Nava <veronicanava245@gmail.com>
Description: Pre-processing and polymer identification of Raman spectra of plastics. Pre-processing includes normalisation functions, peak identification based on local maxima, smoothing process and removal of spectral region of no interest. Polymer identification can be performed using Pearson correlation coefficient or Euclidean distance (Renner et al. (2019), <doi:10.1016/j.trac.2018.12.004>), and the comparison can be done with a user-defined database or with the database already implemented in the package, which currently includes 356 spectra, with several spectra of plastic colorants.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: ggplot2, dplyr, ggrepel, imputeTS
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2021-07-08 05:38:43 UTC; veronica
Repository: CRAN
Date/Publication: 2021-07-09 08:10:04 UTC

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New package Rage with initial version 1.1.0
Package: Rage
Title: Life History Metrics from Matrix Population Models
Version: 1.1.0
Authors@R: c( person(given = "Patrick", family = "Barks", email = "barks@biology.sdu.dk", role = "aut", comment = c(ORCID = "0000-0002-5947-8151")), person(given = "Danny", family = "Buss", email = "dlb50@cam.ac.uk", role = "ctb"), person(given = "Pol", family = "Capdevila", email = "pcapdevila.pc@gmail.com", role = "aut", comment = c(ORCID = "0000-0002-2842-4302")), person(given = "Hal", family = "Caswell", email = "h.caswell@uva.nl", role = "aut", comment = c(ORCID = "0000-0003-4394-6894")), person(given = c("Judy", "P."), family = "Che-Castaldo", email = "jchecastaldo@lpzoo.org", role = "aut", comment = c(ORCID = "0000-0002-9118-9202")), person(given = "John", family = "Jackson", email = "jjackson0308@gmail.com", role = "aut", comment = c(ORCID = "0000-0002-4563-2840")), person(given = "Tamora", family = "James", email = "tamoradjames@protonmail.com", role = "aut", comment = c(ORCID = "0000-0003-1363-4742")), person(given = "Owen", family = "Jones", email = "jones@biology.sdu.dk", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-5720-4686")), person(given = "Sam", family = "Levin", role = "aut", email = "levisc8@gmail.com", comment = c(ORCID = "0000-0002-3289-9925")), person(given = "William K.", family = "Petry", email = "wpetry@ncsu.edu", role = "aut", comment = c(ORCID = "0000-0002-5230-5987")), person(given = "Roberto", family = "Salguero-Gomez", email = "rob.salguero@zoo.ox.ac.uk", role = "aut", comment = c(ORCID = "0000-0002-6085-4433")), person(given = "Caroline", family = "Schuette", email = "cschuette17@gmail.com", role = "ctb", comment = c(ORCID = "0000-0002-2063-8736")), person(given = "Iain", family = "Stott", email = "stott@biology.sdu.dk", role = "aut", comment = c(ORCID = "0000-0003-2724-7436")), person(given = c("Chelsea", "C."), family = "Thomas", email = "esochels@gmail.com", role = "aut", comment = c(ORCID = "0000-0002-8155-9353")))
Description: Functions for calculating life history metrics using matrix population models ('MPMs'). Described in Jones et al. (2021) <doi:10.1101/2021.04.26.441330>.
URL: https://github.com/jonesor/Rage
BugReports: https://github.com/jonesor/Rage/issues
License: GPL-3
Imports: popbio, popdemo, MASS, DiagrammeR, Rcompadre
Encoding: UTF-8
LazyData: true
Depends: R(>= 3.5.0)
Suggests: spelling, ggplot2, knitr, rmarkdown, testthat, covr
VignetteBuilder: knitr
Language: en-GB
Config/testthat/parallel: true
NeedsCompilation: no
Packaged: 2021-07-08 18:23:52 UTC; jones
Author: Patrick Barks [aut] (<https://orcid.org/0000-0002-5947-8151>), Danny Buss [ctb], Pol Capdevila [aut] (<https://orcid.org/0000-0002-2842-4302>), Hal Caswell [aut] (<https://orcid.org/0000-0003-4394-6894>), Judy P. Che-Castaldo [aut] (<https://orcid.org/0000-0002-9118-9202>), John Jackson [aut] (<https://orcid.org/0000-0002-4563-2840>), Tamora James [aut] (<https://orcid.org/0000-0003-1363-4742>), Owen Jones [aut, cre] (<https://orcid.org/0000-0001-5720-4686>), Sam Levin [aut] (<https://orcid.org/0000-0002-3289-9925>), William K. Petry [aut] (<https://orcid.org/0000-0002-5230-5987>), Roberto Salguero-Gomez [aut] (<https://orcid.org/0000-0002-6085-4433>), Caroline Schuette [ctb] (<https://orcid.org/0000-0002-2063-8736>), Iain Stott [aut] (<https://orcid.org/0000-0003-2724-7436>), Chelsea C. Thomas [aut] (<https://orcid.org/0000-0002-8155-9353>)
Maintainer: Owen Jones <jones@biology.sdu.dk>
Repository: CRAN
Date/Publication: 2021-07-09 08:50:02 UTC

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New package NMdata with initial version 0.0.8
Package: NMdata
Title: Preparation, Checking and Post-Processing Data for PK/PD Modeling
Version: 0.0.8
Authors@R: person("Philip", "Delff", email = "philip@delff.dk", role = c("aut", "cre"))
Maintainer: Philip Delff <philip@delff.dk>
Description: Efficient tools for preparation, checking and post-processing of data in PK/PD (pharmacokinetics/pharmacodynamics) modeling, with focus on use of Nonmem. Helps with trivial but tedious tasks and tries to identify errors to save time on debugging. Implemented in 'data.table', but easily integrated with 'base' and 'tidyverse'.
License: MIT + file LICENSE
Depends: R (>= 3.0.0)
Imports: data.table
Suggests: testthat, knitr, rmarkdown, ggplot2, tibble, covr
VignetteBuilder: knitr
Encoding: UTF-8
URL: https://philipdelff.github.io/NMdata/
BugReports: https://github.com/philipdelff/NMdata/issues
NeedsCompilation: no
Packaged: 2021-07-08 23:12:53 UTC; delff
Author: Philip Delff [aut, cre]
Repository: CRAN
Date/Publication: 2021-07-09 08:30:10 UTC

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New package maat with initial version 1.0.2
Package: maat
Title: Multiple Administrations Adaptive Testing
Version: 1.0.2
Date: 2021-07-08
Authors@R: c( person("Seung W.", "Choi", email = "schoi@austin.utexas.edu", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-4777-5420")), person("Sangdon", "Lim", email = "sangdonlim@utexas.edu", role = "aut", comment = c(ORCID = "0000-0002-2988-014X")), person("Luping", "Niu", email = "lupingniu@utexas.edu", role = "aut", comment = c(ORCID = "0000-0003-3696-1180")), person("Sooyong", "Lee", email = "sooyongl09@utexas.edu", role = "aut", comment = c(ORCID = "0000-0002-7964-4508")), person("M. Christina", "Schneider", email = "christina.schneider@nwea.org", role = "ctb"), person("Jay", "Lee", email = "jay.lee@nwea.org", role = "ctb"), person("Garron", "Gianopulos", email = "garron.gianopulos@nwea.org", role = "ctb"))
Maintainer: Seung W. Choi <schoi@austin.utexas.edu>
Description: Provides an extension of the shadow-test approach to computerized adaptive testing (CAT) implemented in the 'TestDesign' package for the assessment framework involving multiple tests administered periodically throughout the year. This framework is referred to as the Multiple Administrations Adaptive Testing (MAAT) and supports multiple item pools vertically scaled and multiple phases (stages) of CAT within each test. Between phases and tests, transitioning from one item pool (and associated constraints) to another is allowed as deemed necessary to enhance the quality of measurement.
URL: https://choi-phd.github.io/maat/
BugReports: https://github.com/choi-phd/maat/issues/
License: GPL (>= 2)
Depends: R (>= 3.5.0)
biocViews:
Imports: TestDesign (>= 1.2.0), readxl, Rdpack, methods, MASS, diagram
Suggests: testthat (>= 3.0.0), rmarkdown, knitr, kableExtra
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
RdMacros: Rdpack
Collate: 'import.R' 'module_class.R' 'module_functions.R' 'administered_functions.R' 'datasets.R' 'examinee_class.R' 'examinee_updaters.R' 'extensions.R' 'module_structure_operators.R' 'package.R' 'sim_functions.R' 'plot_functions.R' 'print_functions.R' 'prior_functions.R' 'routing_functions.R' 'show_functions.R'
NeedsCompilation: no
Packaged: 2021-07-08 16:34:57 UTC; chois1
Author: Seung W. Choi [aut, cre] (<https://orcid.org/0000-0003-4777-5420>), Sangdon Lim [aut] (<https://orcid.org/0000-0002-2988-014X>), Luping Niu [aut] (<https://orcid.org/0000-0003-3696-1180>), Sooyong Lee [aut] (<https://orcid.org/0000-0002-7964-4508>), M. Christina Schneider [ctb], Jay Lee [ctb], Garron Gianopulos [ctb]
Repository: CRAN
Date/Publication: 2021-07-09 08:30:02 UTC

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New package geovol with initial version 1.0
Package: geovol
Title: Geopolitical Volatility (GEOVOL) Modelling
Version: 1.0
Date: 2021-07-08
Author: Susana Campos-Martins [aut, cre]
Maintainer: Susana Campos-Martins <susana.martins@nuffield.ox.ac.uk>
Description: Simulation, estimation and inference for the geopolitical volatility (GEOVOL) model of Engle and Campos-Martins (2020) <doi:10.2139/ssrn.3685213>, where GEOVOL is modelled as a latent multiplicative volatility factor with heterogeneous factor loadings. Estimation is carried out as a maximization-maximization procedure, where GEOVOL and the GEOVOL loadings are estimated iteratively until convergence.
License: GPL (>= 2)
Depends: R (>= 3.5.0), zoo
URL: https://sites.google.com/site/susanacamposmartins/
NeedsCompilation: no
Packaged: 2021-07-08 16:48:21 UTC; susana.camposmartins
Repository: CRAN
Date/Publication: 2021-07-09 08:30:05 UTC

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New package figpatch with initial version 0.1.0.1
Package: figpatch
Title: Easily Arrange External Figures with Patchwork Alongside 'ggplot2' Figures
Version: 0.1.0.1
Authors@R: person(given = "Brady", family = "Johnston", role = c("aut", "cre"), email = "brady.johnston@me.com", comment = c(ORCID = "0000-0001-6301-2269"))
Description: For including external figures into an assembled {patchwork}. This enables the creation of more complex figures that include images alongside plots.
License: MIT + file LICENSE
URL: https://github.com/BradyAJohnston/figpatch
BugReports: https://github.com/BradyAJohnston/figpatch/issues
Imports: ggplot2, magick, patchwork
Encoding: UTF-8
Suggests: spelling, testthat (>= 3.0.0)
Language: en-US
NeedsCompilation: no
Packaged: 2021-07-09 02:01:29 UTC; brady
Author: Brady Johnston [aut, cre] (<https://orcid.org/0000-0001-6301-2269>)
Maintainer: Brady Johnston <brady.johnston@me.com>
Repository: CRAN
Date/Publication: 2021-07-09 08:40:02 UTC

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New package fastOnlineCpt with initial version 1.0
Package: fastOnlineCpt
Title: Online Multivariate Changepoint Detection
Version: 1.0
Date: 2021-07-07
Author: Georg Hahn [aut,cre]
Maintainer: Georg Hahn <ghahn@hsph.harvard.edu>
Description: Implementation of a simple algorithm designed for online multivariate changepoint detection of a mean in sparse changepoint settings. The algorithm is based on a modified cusum statistic and guarantees control of the type I error on any false discoveries, while featuring O(1) time and O(1) memory updates per series as well as a proven detection delay.
License: GPL (>= 2)
Imports: Rdpack,methods
RdMacros: Rdpack
NeedsCompilation: no
Packaged: 2021-07-08 16:18:25 UTC; acer
Repository: CRAN
Date/Publication: 2021-07-09 08:30:07 UTC

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New package dedupewider with initial version 0.0.1
Package: dedupewider
Title: Deduplication Across Multiple Columns
Version: 0.0.1
Authors@R: person("Grzegorz", "Smoliński", role = c("aut", "cre"), email = "g.smolinski1@gmail.com")
Description: Duplicated data can exist in different rows and columns and user may need to treat observations (rows) connected by duplicated data as one observation, e.g. companies can belong to one family (and thus: be one company) by sharing some telephone numbers. This package provides a function to find connected rows based on data on chosen columns and collapse it into one row.
License: MIT + file LICENSE
URL: https://github.com/gsmolinski/dedupewider
BugReports: https://github.com/gsmolinski/dedupewider/issues
Depends: R (>= 3.1.0)
Imports: methods, data.table (>= 1.12.4)
Suggests: rmarkdown, knitr, kableExtra, magrittr, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-07-08 06:33:35 UTC; gsmolinski
Author: Grzegorz Smoliński [aut, cre]
Maintainer: Grzegorz Smoliński <g.smolinski1@gmail.com>
Repository: CRAN
Date/Publication: 2021-07-09 08:10:02 UTC

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New package dbcsp with initial version 0.0.1.0
Package: dbcsp
Title: Distance-Based Common Spatial Patterns
Version: 0.0.1.0
Authors@R: c(person("Itziar","Irigoien", email="itziar.irigoien@ehu.eus", role="aut"), person("Concepción","Arenas", email="carenas@ub.edu", role="aut"), person("Itsaso", "Rodríguez-Moreno",email="itsaso.rodriguez@ehu.eus",role=c("cre","aut")))
Maintainer: Itsaso Rodríguez-Moreno <itsaso.rodriguez@ehu.eus>
Description: A way to apply Distance-Based Common Spatial Patterns (DB-CSP) techniques in different fields, both classical Common Spatial Patterns (CSP) as well as DB-CSP. The method is composed of two phases: applying the DB-CSP algorithm and performing a classification. The main idea behind the CSP is to use a linear transform to project data into low-dimensional subspace with a projection matrix, in such a way that each row consists of weights for signals. This transformation maximizes the variance of two-class signal matrices.The dbcsp object is created to compute the projection vectors. For exploratory and descriptive purpose, plot and boxplot functions can be used. Functions train, predict and selectQ are implemented for the classification step.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: plyr, parallelDist, Matrix, geigen, caret, MASS, stats, ggplot2, methods
Depends: R (>= 2.10), TSdist (>= 3.7)
NeedsCompilation: no
Packaged: 2021-07-08 17:10:20 UTC; bee
Author: Itziar Irigoien [aut], Concepción Arenas [aut], Itsaso Rodríguez-Moreno [cre, aut]
Repository: CRAN
Date/Publication: 2021-07-09 08:40:05 UTC

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Package ch updated to version 0.1.0.2 with previous version 0.1.0.1 dated 2021-07-06

Title: About some Small Functions
Description: The solution to some common problems is proposed, as well as a summary of some small functions. In particular, it provides a useful function for some problems in chemistry. For example, monoa(), monob() and mono() function can be used to calculate The pH of weak acid/base. The ggpng() function can save the PNG format with transparent background. The period_table() function will show the periodic table. Also the show_ruler() function will show the ruler. The show_color() function is funny and easier to show colors. I also provide the symb() function to generate multiple symbols at once. The csv2vcf() function provides an easy method to generate a file. The sym2poly() and sym2coef() function can extract coefficients from polynomials.
Author: Hailong Chai [aut]
Maintainer: Hailong Chai <chaihl17@lzu.edu.cn>

Diff between ch versions 0.1.0.1 dated 2021-07-06 and 0.1.0.2 dated 2021-07-09

 ch-0.1.0.1/ch/R/latex.R           |only
 ch-0.1.0.2/ch/DESCRIPTION         |   18 ++-
 ch-0.1.0.2/ch/MD5                 |   57 +++++-----
 ch-0.1.0.2/ch/NAMESPACE           |    9 +
 ch-0.1.0.2/ch/NEWS.md             |   15 ++
 ch-0.1.0.2/ch/R/Ground-State.R    |  202 +++++++++++++++++++-------------------
 ch-0.1.0.2/ch/R/Round.R           |   28 ++---
 ch-0.1.0.2/ch/R/Ryacas-all.R      |only
 ch-0.1.0.2/ch/R/ch.R              |   23 +---
 ch-0.1.0.2/ch/R/console_cl.R      |   54 ++++++----
 ch-0.1.0.2/ch/R/csv2vcf.R         |   61 +++++------
 ch-0.1.0.2/ch/R/ggpng.R           |   30 ++---
 ch-0.1.0.2/ch/R/monoa.R           |   67 +++++-------
 ch-0.1.0.2/ch/R/period_table.R    |  163 +++++++++++++++++-------------
 ch-0.1.0.2/ch/R/plot_table.R      |  110 +++++++++++---------
 ch-0.1.0.2/ch/R/readtxt.R         |    6 -
 ch-0.1.0.2/ch/R/scanstr.R         |    6 -
 ch-0.1.0.2/ch/R/show_color.R      |   76 +++++++-------
 ch-0.1.0.2/ch/R/showruler.R       |   92 ++++++++++-------
 ch-0.1.0.2/ch/R/symb.R            |   16 +--
 ch-0.1.0.2/ch/README.md           |    6 +
 ch-0.1.0.2/ch/man/ch-package.Rd   |    2 
 ch-0.1.0.2/ch/man/console_cl.Rd   |    8 -
 ch-0.1.0.2/ch/man/csv2vcf.Rd      |    8 -
 ch-0.1.0.2/ch/man/ground_state.Rd |   10 -
 ch-0.1.0.2/ch/man/lat_fmt.Rd      |    6 -
 ch-0.1.0.2/ch/man/monoa.Rd        |   90 +++++++---------
 ch-0.1.0.2/ch/man/plot_table.Rd   |   12 +-
 ch-0.1.0.2/ch/man/scan.str.Rd     |   48 ++++-----
 ch-0.1.0.2/ch/man/sym2poly.Rd     |only
 ch-0.1.0.2/ch/man/symb.Rd         |    2 
 31 files changed, 660 insertions(+), 565 deletions(-)

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Package bigsparser updated to version 0.5.0 with previous version 0.4.4 dated 2021-03-27

Title: Sparse Matrix Format with Data on Disk
Description: Provides a sparse matrix format with data stored on disk, to be used in both R and C++. This is intended for more efficient use of sparse data in C++ and also when parallelizing, since data on disk does not need copying. Only a limited number of features will be implemented. For now, conversion can be performed from a 'dgCMatrix' or a 'dsCMatrix' from R package 'Matrix'. A new compact format is also now available.
Author: Florian Privé [aut, cre]
Maintainer: Florian Privé <florian.prive.21@gmail.com>

Diff between bigsparser versions 0.4.4 dated 2021-03-27 and 0.5.0 dated 2021-07-09

 DESCRIPTION                        |   14 +--
 MD5                                |   31 ++++----
 NAMESPACE                          |    1 
 R/RcppExports.R                    |   16 ++++
 R/SFBM.R                           |  140 ++++++++++++++++++++++++++++++++-----
 README.md                          |    2 
 inst/include/bigsparser/SFBM.h     |  108 +++++++++++++++++++++-------
 inst/testdata                      |only
 man/SFBM-class.Rd                  |   21 ++++-
 man/SFBM_compact-class.Rd          |only
 man/bigsparser-package.Rd          |    2 
 src/RcppExports.cpp                |   64 ++++++++++++++++
 src/SFBM-xptr.cpp                  |   26 ++++++
 src/prod.cpp                       |    3 
 src/write-val-compact.cpp          |only
 tests/testthat/test-SFBM-compact.R |only
 tests/testthat/test-add-columns.R  |   52 +++++++++++++
 tests/testthat/test-solve.R        |   30 +++++++
 18 files changed, 434 insertions(+), 76 deletions(-)

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New package beans with initial version 0.1.0
Package: beans
Title: Data on Dried Beans
Version: 0.1.0
Authors@R: person(given = "Max", family = "Kuhn", role = c("aut", "cre"), email = "mxkuhn@gmail.com", comment = c(ORCID = "0000-0003-2402-136X"))
Description: These data contain morphological image measurements for dried beans from Koklu and Ozkan (2020) <doi:10.1016/j.compag.2020.105507>.
License: MIT + file LICENSE
Depends: R (>= 2.10)
Encoding: UTF-8
LazyData: true
Suggests: spelling
Language: en-US
NeedsCompilation: no
Packaged: 2021-07-08 20:20:46 UTC; max
Author: Max Kuhn [aut, cre] (<https://orcid.org/0000-0003-2402-136X>)
Maintainer: Max Kuhn <mxkuhn@gmail.com>
Repository: CRAN
Date/Publication: 2021-07-09 09:00:08 UTC

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New package AMAPVox with initial version 0.1.0
Package: AMAPVox
Title: LiDAR Data Voxelisation
Version: 0.1.0
Authors@R: c( person("Grégoire", "Vincent", email="gregoire.vincent@ird.fr", role=c("aut")), person("Julien", "Heurtebize", email="julienhtbe@gmail.com", role=c("aut")), person("Philippe", "Verley", email="philippe.verley@ird.fr", role = c("aut", "cre")) )
Description: Read, manipulate and write voxel spaces. Voxel spaces are read from text-based output files of the 'AMAPVox' software. 'AMAPVox' is a LiDAR point cloud voxelisation software that aims at estimating leaf area through several theoretical/numerical approaches. See more in the article Vincent et al. (2017) <doi:10.23708/1AJNMP> and the technical note Vincent et al. (2021) <doi:10.23708/1AJNMP>.
License: CeCILL (>= 2)
Encoding: UTF-8
URL: https://github.com/umr-amap/AMAPVox
BugReports: https://github.com/umr-amap/AMAPVox/issues
Imports: methods, utils, data.table, stringr
Collate: 'AMAPVox.R' 'AMAPVoxClasses.R' 'AMAPVoxGenerics.R' 'AMAPVoxGetters.R' 'ReadVoxelSpace.R' 'WriteVoxelSpace.R'
NeedsCompilation: no
Packaged: 2021-07-08 11:03:37 UTC; pverley
Author: Grégoire Vincent [aut], Julien Heurtebize [aut], Philippe Verley [aut, cre]
Maintainer: Philippe Verley <philippe.verley@ird.fr>
Repository: CRAN
Date/Publication: 2021-07-09 08:10:07 UTC

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New package agricolaeplotr with initial version 0.2.1
Package: agricolaeplotr
Title: Visualization of Design of Experiments from the 'agricolae' Package
Version: 0.2.1
Authors@R: person(family="Harbers", given="Jens", email="jensharbers@gmail.com", role=c("aut","cre"), comment = c(ORCID = "0000-0001-6634-623X"))
Maintainer: Jens Harbers <jensharbers@gmail.com>
Description: Visualization of Design of Experiments from the 'agricolae' package with 'ggplot2' framework The user provides an experiment design from the 'agricolae' package, calls the corresponding function and will receive a visualization with 'ggplot2' based functions that are specific for each design. As there are many different designs, each design is tested on its type. The output can be modified with standard 'ggplot2' commands or with other packages with 'ggplot2' function extensions.
License: GPL (>= 3)
Encoding: UTF-8
Imports: ggplot2, agricolae, rmarkdown
Language: en-US
Suggests: testthat (>= 3.0.0), knitr
BugReports: https://github.com/jensharbers/agricolaeplotr/issues
URL: https://github.com/jensharbers/agricolaeplotr
Depends: R (>= 3.6)
VignetteBuilder: knitr
Note: 'agricolae' is a package name 'ggplot2' is a package name
NeedsCompilation: no
Packaged: 2021-07-08 16:02:56 UTC; Jens Harbers
Author: Jens Harbers [aut, cre] (<https://orcid.org/0000-0001-6634-623X>)
Repository: CRAN
Date/Publication: 2021-07-09 08:20:05 UTC

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Package gamlss.foreach (with last version 1.0-5) was removed from CRAN

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

2021-03-19 1.0-5

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Package MMMS (with last version 0.1) was removed from CRAN

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

2014-03-28 0.1

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Package mplot (with last version 1.0.4) was removed from CRAN

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

2020-02-15 1.0.4
2019-05-14 1.0.3
2019-01-22 1.0.2
2018-02-14 1.0.1
2018-01-05 0.8.2
2017-11-18 0.8.1
2017-11-06 0.8.0
2016-08-18 0.7.9
2016-08-16 0.7.8
2015-11-18 0.7.7
2015-11-16 0.7.5
2015-09-09 0.7.1
2015-06-10 0.6.2

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Package spatPomp updated to version 0.23.0.0 with previous version 0.21.0.0 dated 2021-04-12

Title: Inference for Spatiotemporal Partially Observed Markov Processes
Description: Inference on panel data using spatiotemporal partially-observed Markov process (SpatPOMP) models. To do so, it relies on and extends a number of facilities that the 'pomp' package provides for inference on time series data using partially-observed Markov process (POMP) models. Implemented methods include filtering and inference methods in Park and Ionides (2020) <doi:10.1007/s11222-020-09957-3>, Rebeschini and van Handel (2015) <doi:10.1214/14-AAP1061>, Evensen and van Leeuwen (1996) <doi:10.1029/94JC00572> and Ionides et al. (2021) <arXiv:2002.05211v2>. Pre-print statistical software article: Asfaw et al. (2021) <arXiv:2101.01157>.
Author: Kidus Asfaw [aut, cre], Aaron A. King [aut], Edward Ionides [aut], Joonha Park [ctb], Allister Ho [ctb]
Maintainer: Kidus Asfaw <kasfaw@umich.edu>

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Package DataEditR updated to version 0.1.3 with previous version 0.1.2 dated 2021-05-21

Title: An Interactive Editor for Viewing, Entering, Filtering & Editing Data
Description: An interactive editor built on 'rhandsontable' to allow the interactive viewing, entering, filtering and editing of data in R <https://dillonhammill.github.io/DataEditR/>.
Author: Dillon Hammill [aut, cre] (<https://orcid.org/0000-0002-1407-7223>)
Maintainer: Dillon Hammill <Dillon.Hammill@anu.edu.au>

Diff between DataEditR versions 0.1.2 dated 2021-05-21 and 0.1.3 dated 2021-07-09

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Package AzureContainers updated to version 1.3.2 with previous version 1.3.1 dated 2020-10-14

Title: Interface to 'Container Instances', 'Docker Registry' and 'Kubernetes' in 'Azure'
Description: An interface to container functionality in Microsoft's 'Azure' cloud: <https://azure.microsoft.com/en-us/product-categories/containers/>. Manage 'Azure Container Instance' (ACI), 'Azure Container Registry' (ACR) and 'Azure Kubernetes Service' (AKS) resources, push and pull images, and deploy services. On the client side, lightweight shells to the 'docker', 'docker-compose', 'kubectl' and 'helm' commandline tools are provided. Part of the 'AzureR' family of packages.
Author: Hong Ooi [aut, cre], Bill Liang [ctb] (Assistance debugging MMLS on Kubernetes), Ramkumar Chandrasekaran [ctb] (Original blog article on Dockerising MMLS), Microsoft [cph]
Maintainer: Hong Ooi <hongooi73@gmail.com>

Diff between AzureContainers versions 1.3.1 dated 2020-10-14 and 1.3.2 dated 2021-07-09

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Package sitsfeats (with last version 0.0.1) was removed from CRAN

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

2021-06-04 0.0.1

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Package MVar.pt updated to version 2.1.7 with previous version 2.1.6 dated 2021-06-25

Title: Analise multivariada (brazilian portuguese)
Description: Pacote para analise multivariada, tendo funcoes que executam analise de correspondencia simples (CA) e multipla (MCA), analise de componentes principais (PCA), analise de correlacao canonica (CCA), analise fatorial (FA), escalonamento multidimensional (MDS), analise discriminante linear (LDA) e quadratica (QDA), analise de cluster hierarquico e nao hierarquico, regressao linear simples e multipla, analise de multiplos fatores (MFA) para dados quantitativos, qualitativos, de frequencia (MFACT) e dados mistos, biplot, scatter plot, projection pursuit (PP), grant tour e outras funcoes uteis para a analise multivariada.
Author: Paulo Cesar Ossani <ossanipc@hotmail.com> Marcelo Angelo Cirillo <macufla@des.ufla.br>
Maintainer: Paulo Cesar Ossani <ossanipc@hotmail.com>

Diff between MVar.pt versions 2.1.6 dated 2021-06-25 and 2.1.7 dated 2021-07-09

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Package MVar updated to version 2.1.7 with previous version 2.1.6 dated 2021-06-25

Title: Multivariate Analysis
Description: Package for multivariate analysis, having functions that perform simple correspondence analysis (CA) and multiple correspondence analysis (MCA), principal components analysis (PCA), canonical correlation analysis (CCA), factorial analysis (FA), multidimensional scaling (MDS), linear (LDA) and quadratic discriminant analysis (QDA), hierarchical and non-hierarchical cluster analysis, simple and multiple linear regression, multiple factor analysis (MFA) for quantitative, qualitative, frequency (MFACT) and mixed data, biplot, scatter plot, projection pursuit (PP), grant tour method and other useful functions for the multivariate analysis.
Author: Paulo Cesar Ossani <ossanipc@hotmail.com> Marcelo Angelo Cirillo <macufla@des.ufla.br>
Maintainer: Paulo Cesar Ossani <ossanipc@hotmail.com>

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Package cache updated to version 0.0.2 with previous version 0.0.1 dated 2021-06-22

Title: Cache and Retrieve Computation Results
Description: Easily cache and retrieve computation results. The package works seamlessly across interactive R sessions, R scripts and Rmarkdown documents.
Author: Olivier Binette [aut, cre]
Maintainer: Olivier Binette <olivier.binette@gmail.com>

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