Mon, 22 Feb 2021

New package simul with initial version 0.1.1
Package: simul
Type: Package
Title: Fast Simultaneous Confidence Bands Based on the Efficient Influence Function and Multiplier Bootstrap
Version: 0.1.1
Authors@R: person(given = "Nicholas", family = "Williams", role = c("aut", "cre", "cph"), email = "niw4001@med.cornell.edu", comment = c(ORCID = "0000-0002-1378-4831"))
Description: Compute critical values for constructing uniform (simultaneous) confidence bands. The critical value is calculated using a multiplier bootstrap of the empirical efficient influence function as described by Kennedy (2019) <doi:10.1080/01621459.2017.1422737>. The multiplier bootstrap does not require resampling of the data but only simulation of the multipliers and is thus computationally efficient.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
LinkingTo: Rcpp
Imports: Rcpp
Suggests: testthat
URL: https://github.com/nt-williams/simul#readme
Depends: R (>= 2.10)
NeedsCompilation: yes
Packaged: 2021-02-22 16:11:53 UTC; Nick
Author: Nicholas Williams [aut, cre, cph] (<https://orcid.org/0000-0002-1378-4831>)
Maintainer: Nicholas Williams <niw4001@med.cornell.edu>
Repository: CRAN
Date/Publication: 2021-02-22 20:30:02 UTC

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New package shinypivottabler with initial version 1.0
Package: shinypivottabler
Title: Shiny Module to Create Pivot Tables
Version: 1.0
Authors@R: c( person("Benoit", "Thieurmel", email = "benoit.thieurmel@datastorm.fr", role = c("aut", "cre")), person("Thibaut", "Dubois", email = "thibaut.dubois@datastorm.fr", role = c("aut")) )
Description: Shiny Module to create, visualize, customize and export Excel-like pivot table.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.4)
LazyData: true
RoxygenNote: 7.1.1
Imports: pivottabler (>= 1.5.0), shiny, openxlsx, colourpicker, htmltools
NeedsCompilation: no
Packaged: 2021-02-22 10:43:00 UTC; BenoitThieurmel
Author: Benoit Thieurmel [aut, cre], Thibaut Dubois [aut]
Maintainer: Benoit Thieurmel <benoit.thieurmel@datastorm.fr>
Repository: CRAN
Date/Publication: 2021-02-22 20:10:03 UTC

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Package savonliquide updated to version 0.2.0 with previous version 0.1.0 dated 2020-12-07

Title: Accessibility Toolbox for 'R' Users
Description: Provides a toolbox that allows the user to implement accessibility related concepts.
Author: Mohamed El Fodil Ihaddaden [aut, cre]
Maintainer: Mohamed El Fodil Ihaddaden <ihaddaden.fodeil@gmail.com>

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Package fmtr updated to version 1.5.0 with previous version 1.4.1 dated 2021-01-06

Title: Easily Apply Formats to Data
Description: Contains a set of functions that can be used to apply formats to data frames or vectors. The package aims to provide to functionality similar to that of SAS® formats. Formats are assigned to the format attribute on data frame columns. Then when the fdata() function is called, a new data frame is created with the column data formatted as specified. The package also contains a value() function to create a user-defined format, similar to a SAS® user-defined format.
Author: David Bosak
Maintainer: David Bosak <dbosak01@gmail.com>

Diff between fmtr versions 1.4.1 dated 2021-01-06 and 1.5.0 dated 2021-02-22

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Package flexsurv updated to version 2.0 with previous version 1.1.1 dated 2019-03-18

Title: Flexible Parametric Survival and Multi-State Models
Description: Flexible parametric models for time-to-event data, including the Royston-Parmar spline model, generalized gamma and generalized F distributions. Any user-defined parametric distribution can be fitted, given at least an R function defining the probability density or hazard. There are also tools for fitting and predicting from fully parametric multi-state models, based on either cause-specific hazards or mixture models.
Author: Christopher Jackson [aut, cre], Paul Metcalfe [ctb], Jordan Amdahl [ctb], Matthew T. Warkentin [ctb], Kevin Kunzmann [ctb]
Maintainer: Christopher Jackson <chris.jackson@mrc-bsu.cam.ac.uk>

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New package copulareg with initial version 0.1.0
Package: copulareg
Type: Package
Title: Copula Regression
Authors@R: c(person("Simon Boge", "Brant", role = c("aut", "cre","cph"), email = "simonbb@math.uio.no"), person("Ingrid", "Hobæk Haff", role = "aut"))
Version: 0.1.0
Description: Fits multivariate models in an R-vine pair copula construction framework, in such a way that the conditional copula can be easily evaluated. In addition, the package implements functionality to compute or approximate the conditional expectation via the conditional copula.
License: MIT + file LICENCE
Imports: rvinecopulib (>= 0.5.4.1.0)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2021-02-15 12:28:04 UTC; simon
Author: Simon Boge Brant [aut, cre, cph], Ingrid Hobæk Haff [aut]
Maintainer: Simon Boge Brant <simonbb@math.uio.no>
Repository: CRAN
Date/Publication: 2021-02-22 20:30:05 UTC

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New package clusTransition with initial version 1.0
Package: clusTransition
Type: Package
Title: Monitor Changes in Cluster Solutions of Dynamic Datasets
Version: 1.0
Author: Muhammad Atif
Maintainer: Muhammad Atif <muhammad96_atif@yahoo.com>
Description: Monitor and trace changes in clustering solutions of accumulating datasets at successive time points. The clusters can adopt External and Internal transition at succeeding time points. The External transitions comprise of Survived, Merged, Split, Disappeared, and newly Emerged candidates. In contrast, Internal transition includes changes in location and cohesion of the survived clusters. The package uses MONIC framework developed by Spiliopoulou, Ntoutsi, Theodoridis, and Schult (2006)<doi:10.1145/1150402.1150491> .
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5), flexclust, methods, graphics
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-02-22 11:59:15 UTC; Atif
Repository: CRAN
Date/Publication: 2021-02-22 20:20:02 UTC

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Package multicastR updated to version 2.0.0 with previous version 1.3.0 dated 2019-08-30

Title: A Companion to the Multi-CAST Collection
Description: Provides a basic interface for accessing annotation data from the Multi-CAST collection, a database of spoken natural language texts edited by Geoffrey Haig and Stefan Schnell. The collection draws from a diverse set of languages and has been annotated across multiple levels. Annotation data is downloaded on request from the servers of the University of Bamberg. See the Multi-CAST website <https://multicast.aspra.uni-bamberg.de/> for more information and a list of related publications.
Author: Nils Norman Schiborr [aut, cre]
Maintainer: Nils Norman Schiborr <nils-norman.schiborr@uni-bamberg.de>

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New package memofunc with initial version 1.0.2
Package: memofunc
Type: Package
Title: Function Memoization
Version: 1.0.2
Author: Roy Wetherall <rwetherall@gmail.com>
Maintainer: Roy Wetherall <rwetherall@gmail.com>
Description: A simple way to memoize function results to improve performance by eliminating unnecessary computation or data retrieval activities.
Depends: R (>= 3.5.0)
License: GPL-3
URL: https://github.com/rwetherall/memofunc, https://rwetherall.github.io/memofunc/
BugReports: https://github.com/rwetherall/memofunc/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: digest, uuid, magrittr
Suggests: testthat, devtools, roxygen2, covr
NeedsCompilation: no
Packaged: 2021-02-20 23:06:35 UTC; rweth
Repository: CRAN
Date/Publication: 2021-02-22 19:30:02 UTC

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New package covidsymptom with initial version 0.9
Package: covidsymptom
Title: COVID Symptom Study Sweden Open Dataset
Version: 0.9
Authors@R: person(given = "Hugo", family = "Fitipaldi", role = c("aut", "cre"), email = "hugo.fitipaldi@med.lu.se")
Description: The COVID Symptom Study is a non-commercial project that uses a free mobile app to facilitate real-time data collection of symptoms, exposures, and risk factors related to COVID19. The package allows easy access to summary statistics data from COVID Symptom Study Sweden.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/csss-resultat/covidsymptom
LazyData: true
RoxygenNote: 7.1.1
Depends: R (>= 2.10)
Imports: rio, stringi, remotes, usethis
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-02-20 15:36:37 UTC; hu3745fi
Author: Hugo Fitipaldi [aut, cre]
Maintainer: Hugo Fitipaldi <hugo.fitipaldi@med.lu.se>
Repository: CRAN
Date/Publication: 2021-02-22 19:20:05 UTC

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Package polynomial (with last version 0.1.0) was removed from CRAN

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

2021-02-22 0.1.0

Permanent link
Package r2dii.data updated to version 0.1.8 with previous version 0.1.7 dated 2021-02-08

Title: Datasets to Align Financial Markets 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 financial assets and climate scenarios (<https://2degrees-investing.org/>). Financial institutions use 'PACTA' to study how their capital allocation impacts the climate. 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>

Diff between r2dii.data versions 0.1.7 dated 2021-02-08 and 0.1.8 dated 2021-02-22

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Package WriteXLS updated to version 6.2.0 with previous version 6.1.0 dated 2020-11-23

Title: Cross-Platform Perl Based R Function to Create Excel 2003 (XLS) and Excel 2007 (XLSX) Files
Description: Cross-platform Perl based R function to create Excel 2003 (XLS) and Excel 2007 (XLSX) files from one or more data frames. Each data frame will be written to a separate named worksheet in the Excel spreadsheet. The worksheet name will be the name of the data frame it contains or can be specified by the user.
Author: Marc Schwartz <marc_schwartz@me.com> and various authors for Perl modules listed in each .pm file.
Maintainer: Marc Schwartz <marc_schwartz@me.com>

Diff between WriteXLS versions 6.1.0 dated 2020-11-23 and 6.2.0 dated 2021-02-22

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Package volcano3D updated to version 1.1.0 with previous version 1.0.1 dated 2020-06-26

Title: Interactive Plotting of Three-Way Differential Expression Analysis
Description: Differential expression (DE) analysis can be used to discover quantitative changes in expression levels between experimental groups. Such results are typically visualised using volcano plots, however in cases where more than two experimental groups are involved, visualising results can become convoluted and it quickly becomes difficult to see the wood for the trees. This package provides easy-to-use functions to extract and visualise outputs from DE between three groups (primarily aimed at 'limma' and 'DESeq2' outputs). We present novel methods to map DE results into polar coordinates to enable users to combine and simultaneously view three sets of results. These graphics also possess optional 'plotly' outputs for interactive and three-dimensional functionality, as seen in Lewis et. al. (2019) <doi:10.1016/j.celrep.2019.07.091>.
Author: Katriona Goldmann [aut, cre], Myles Lewis [aut, ctb]
Maintainer: Katriona Goldmann <k.goldmann@qmul.ac.uk>

Diff between volcano3D versions 1.0.1 dated 2020-06-26 and 1.1.0 dated 2021-02-22

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New package trawl with initial version 0.2.2
Package: trawl
Type: Package
Title: Estimation and Simulation of Trawl Processes
Version: 0.2.2
Author: Almut E. D. Veraart
Maintainer: Almut E. D. Veraart <a.veraart@imperial.ac.uk>
Description: Contains R functions for simulating and estimating integer-valued trawl processes as described in the article Veraart (2019),"Modeling, simulation and inference for multivariate time series of counts using trawl processes", Journal of Multivariate Analysis, 169, pages 110-129, <doi:10.1016/j.jmva.2018.08.012> and for simulating random vectors from the bivariate negative binomial and the bi- and trivariate logarithmic series distributions.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Depends: R (>= 4.0.0)
Imports: DEoptim, ggplot2, ggpubr, graphics, MASS, rootSolve, Runuran, stats, squash, TSA
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-02-22 13:25:39 UTC; customer
Repository: CRAN
Date/Publication: 2021-02-22 17:30:02 UTC

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Package pchc updated to version 0.4 with previous version 0.3 dated 2020-11-30

Title: Bayesian Network Learning with the PCHC and Related Algorithms
Description: Bayesian network learning using the PCHC algorithm. PCHC stands for PC Hill-Climbing. It is a new hybrid algorithm that used PC to construct the skeleton of the BN and then utilizes the Hill-Climbing greedy search. The relevant papers are a) Tsagris M. (2021). "A new scalable Bayesian network learning algorithm with applications to economics". Computational Economics (To appear). <doi:10.1007/s10614-020-10065-7>. b) Tsagris M. (2020). The FEDHC Bayesian network learning algorithm. <arXiv:2012.00113>.
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

Diff between pchc versions 0.3 dated 2020-11-30 and 0.4 dated 2021-02-22

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Package ggprism updated to version 1.0.2 with previous version 1.0.1 dated 2021-02-12

Title: A 'ggplot2' Extension Inspired by 'GraphPad Prism'
Description: Provides various themes, palettes, and other functions that are used to customise ggplots to look like they were made in 'GraphPad Prism'. The 'Prism'-look is achieved with theme_prism() and scale_fill|colour_prism(), axes can be changed with custom guides like guide_prism_minor(), and significance indicators added with add_pvalue().
Author: Charlotte Dawson [aut, cre] (<https://orcid.org/0000-0002-7151-5971>)
Maintainer: Charlotte Dawson <csdaw@outlook.com>

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New package elaborator with initial version 1.1
Package: elaborator
Title: A 'shiny' Application for Exploring Laboratory Data
Version: 1.1
Authors@R: c(person("Silke", "Janitza", role = "aut"), person("Steffen", "Jeske", email = "steffen.jeske.ext@bayer.com", role = c("aut","cre")), person("Madhurima", "Majumder", role = "aut"), person("Franco", "Mendolia", role = "aut"), person("Hermann", "Kulmann", role = "aut"))
Author: Silke Janitza [aut], Steffen Jeske [aut, cre], Madhurima Majumder [aut], Franco Mendolia [aut], Hermann Kulmann [aut]
Maintainer: Steffen Jeske <steffen.jeske.ext@bayer.com>
Description: A novel concept for generating knowledge and gaining insights into laboratory data. You will be able to efficiently and easily explore your laboratory data from different perspectives.
Depends: R (>= 3.5.0), seriation
License: GPL-3
Encoding: UTF-8
Imports: shiny, dplyr, purrr, rlang, tidyr, forcats, RColorBrewer, bsplus, dendextend, haven, reshape2, shape, shinyWidgets, shinydashboard
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-02-18 14:33:55 UTC; sje
Repository: CRAN
Date/Publication: 2021-02-22 18:00:02 UTC

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Package Compositional updated to version 4.4 with previous version 4.3 dated 2021-01-19

Title: Compositional Data Analysis
Description: Regression, classification, contour plots, hypothesis testing and fitting of distributions for compositional data are some of the functions included. The standard textbook for such data is John Aitchison's (1986) "The statistical analysis of compositional data". Relevant papers include a) Tsagris M.T., Preston S. and Wood A.T.A. (2011). A data-based power transformation for compositional data. Fourth International International Workshop on Compositional Data Analysis. b) Tsagris M. (2014). The k-NN algorithm for compositional data: a revised approach with and without zero values present. Journal of Data Science, 12(3):519--534. c) Tsagris M. (2015). A novel, divergence based, regression for compositional data. Proceedings of the 28th Panhellenic Statistics Conference, 15-18 April 2015, Athens, Greece, 430--444. d) Tsagris M. (2015). Regression analysis with compositional data containing zero values. Chilean Journal of Statistics, 6(2):47--57. e) Tsagris M., Preston S. and Wood A.T.A. (2016). Improved supervised classification for compositional data using the alpha-transformation. Journal of Classification, 33(2):243--261. <doi:10.1007/s00357-016-9207-5>. f) Tsagris M., Preston S. and Wood A.T.A. (2017). Nonparametric hypothesis testing for equality of means on the simplex. Journal of Statistical Computation and Simulation, 87(2): 406--422. <doi:10.1080/00949655.2016.1216554>. g) Tsagris M. and Stewart C. (2018). A Dirichlet regression model for compositional data with zeros. Lobachevskii Journal of Mathematics, 39(3): 398--412. <doi:10.1134/S1995080218030198>. h) Alenazi A. (2019). Regression for compositional data with compositional data as predictor variables with or without zero values. Journal of Data Science, 17(1): 219--238. <doi:10.6339/JDS.201901_17(1).0010>. i) Tsagris M. and Stewart C. (2020). A folded model for compositional data analysis. Australian and New Zealand Journal of Statistics, 62(2):249--277. <doi:10.1111/anzs.12289>. j) Tsagris M., Alenazi A. and Stewart C. (2020). The alpha-k-NN regression for compositional data. <arXiv:2002.05137>. We further include functions for percentages (or proportions).
Author: Michail Tsagris [aut, cre], Giorgos Athineou [aut], Abdulaziz Alenazi [ctb]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

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Package ChangePointTaylor updated to version 0.1.1 with previous version 0.1.0 dated 2020-06-09

Title: Identify Changes in Mean
Description: A basic implementation of the change in mean detection method outlined in: Taylor, Wayne A. (2000) <https://variation.com/wp-content/uploads/change-point-analyzer/change-point-analysis-a-powerful-new-tool-for-detecting-changes.pdf>. The package recursively uses the mean-squared error change point calculation to identify candidate change points. The candidate change points are then re-estimated and Taylor's backwards elimination process is then employed to come up with a final set of change points. Many of the underlying functions are written in C++ for improved performance.
Author: Michael Marks [aut, cre]
Maintainer: Michael Marks <michaelmarks@analyticaconsulting.com>

Diff between ChangePointTaylor versions 0.1.0 dated 2020-06-09 and 0.1.1 dated 2021-02-22

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Package sirus updated to version 0.3.2 with previous version 0.3.1 dated 2020-12-08

Title: Stable and Interpretable RUle Set
Description: A regression and classification algorithm based on random forests, which takes the form of a short list of rules. SIRUS combines the simplicity of decision trees with a predictivity close to random forests. The core aggregation principle of random forests is kept, but instead of aggregating predictions, SIRUS aggregates the forest structure: the most frequent nodes of the forest are selected to form a stable rule ensemble model. The algorithm is fully described in the following articles: Benard C., Biau G., da Veiga S., Scornet E. (2021), Electron. J. Statist., 15:427-505 <DOI:10.1214/20-EJS1792> for classification, and Benard C., Biau G., da Veiga S., Scornet E. (2020) <arXiv:2004.14841> for regression. This R package is a fork from the project ranger (<https://github.com/imbs-hl/ranger>).
Author: Clement Benard [aut, cre], Marvin N. Wright [ctb, cph]
Maintainer: Clement Benard <clement.benard5@gmail.com>

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Package RAthena updated to version 2.0.0 with previous version 1.12.0 dated 2021-01-20

Title: Connect to 'AWS Athena' using 'Boto3' ('DBI' Interface)
Description: Designed to be compatible with the R package 'DBI' (Database Interface) when connecting to Amazon Web Service ('AWS') Athena <https://aws.amazon.com/athena/>. To do this 'Python' 'Boto3' Software Development Kit ('SDK') <https://boto3.amazonaws.com/v1/documentation/api/latest/index.html> is used as a driver.
Author: Dyfan Jones [aut, cre]
Maintainer: Dyfan Jones <dyfan.r.jones@gmail.com>

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Package polAr updated to version 0.2.0.1 with previous version 0.2.0 dated 2020-09-14

Title: Argentina Political Analysis
Description: Toolbox for the Analysis of Political and Electoral Data from Argentina.
Author: Juan Pablo Ruiz Nicolini [aut, cre, cph] (<https://orcid.org/0000-0002-3138-6343>), Camila Higa [ctb], Iván Lewin [ctb], Lucas Enrich [ctb]
Maintainer: Juan Pablo Ruiz Nicolini <juanpabloruiznicolini@gmail.com>

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Package pkgKitten updated to version 0.2.1 with previous version 0.2.0 dated 2020-09-27

Title: Create Simple Packages Which Do not Upset R Package Checks
Description: Provides a function kitten() which creates cute little packages which pass R package checks. This sets it apart from package.skeleton() which it calls, and which leaves imperfect files behind. As this is not exactly helpful for beginners, kitten() offers an alternative. Unit test support can be added via the 'tinytest' package (if present), and documentation-creation support can be added via 'roxygen2' (if present).
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package pillar updated to version 1.5.0 with previous version 1.4.7 dated 2020-11-20

Title: Coloured Formatting for Columns
Description: Provides 'pillar' and 'colonnade' generics designed for formatting columns of data using the full range of colours provided by modern terminals.
Author: Kirill Müller [aut, cre], Hadley Wickham [aut], RStudio [cph]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

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More information about pillar at CRAN
Permanent link

Package noctua updated to version 2.0.0 with previous version 1.10.0 dated 2021-01-20

Title: Connect to 'AWS Athena' using R 'AWS SDK' 'paws' ('DBI' Interface)
Description: Designed to be compatible with the 'R' package 'DBI' (Database Interface) when connecting to Amazon Web Service ('AWS') Athena <https://aws.amazon.com/athena/>. To do this the 'R' 'AWS' Software Development Kit ('SDK') 'paws' <https://github.com/paws-r/paws> is used as a driver.
Author: Dyfan Jones [aut, cre]
Maintainer: Dyfan Jones <dyfan.r.jones@gmail.com>

Diff between noctua versions 1.10.0 dated 2021-01-20 and 2.0.0 dated 2021-02-22

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More information about noctua at CRAN
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New package JOPS with initial version 0.1.13
Package: JOPS
Type: Package
Title: Practical Smoothing with P-Splines
Version: 0.1.13
Authors@R: c(person(given = "Paul", family = "Eilers", role = c("aut", "cre"), email = "p.eilers@erasmusmc.nl"), person(given = "Brian", family = "Marx", role = "aut", email = "p.eilers@erasmusmc.nl"), person(given = "Bin", family = "Li", email = "bli@lsu.edu", role = "aut"), person(given = "Jutta", family = "Gampe", email = "gampe@demogr.mpg.de", role = "aut"), person(given = "Maria Xose", family = "Rodriguez-Alvarez", email = "mrodriguez@BCAMATH.ORG", role = "aut"))
Maintainer: Paul Eilers <p.eilers@erasmusmc.nl>
Description: Functions and data to reproduce all plots in the book "Practical Smoothing. The Joys of P-splines" by Paul H.C. Eilers and Brian D. Marx (2021, ISBN:978-1108482950).
License: GPL-2 | GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Depends: R (>= 3.1.0), SpATS
Imports: colorspace, MASS, boot, fds, rpart, ggplot2, fields, spam, SemiPar, stats, graphics, grDevices
NeedsCompilation: no
Packaged: 2021-02-20 09:49:09 UTC; peile
Author: Paul Eilers [aut, cre], Brian Marx [aut], Bin Li [aut], Jutta Gampe [aut], Maria Xose Rodriguez-Alvarez [aut]
Repository: CRAN
Date/Publication: 2021-02-22 16:40:10 UTC

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Package FRK updated to version 1.0.0 with previous version 0.2.2.1 dated 2020-04-01

Title: Fixed Rank Kriging
Description: Fixed Rank Kriging is a tool for spatial/spatio-temporal modelling and prediction with large datasets. The approach, discussed in Cressie and Johannesson (2008) <DOI:10.1111/j.1467-9868.2007.00633.x>, decomposes the field, and hence the covariance function, using a fixed set of n basis functions, where n is typically much smaller than the number of data points (or polygons) m. The method naturally allows for non-stationary, anisotropic covariance functions and the use of observations with varying support (with known error variance). The projected field is a key building block of the Spatial Random Effects (SRE) model, on which this package is based. The package FRK provides helper functions to model, fit, and predict using an SRE with relative ease.
Author: Andrew Zammit-Mangion [aut, cre]
Maintainer: Andrew Zammit-Mangion <andrewzm@gmail.com>

Diff between FRK versions 0.2.2.1 dated 2020-04-01 and 1.0.0 dated 2021-02-22

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New package fHMM with initial version 0.1.0
Package: fHMM
Type: Package
Title: Fitting Hidden Markov Models to Financial Data
Version: 0.1.0
Date: 2021-02-10
Authors@R: c( person("Lennart", "Oelschl\U00E4ger", email = "lennart.oelschlaeger@uni-bielefeld.de", role = c("aut", "cre")), person("Timo", "Adam", email = "ta59@st-andrews.ac.uk", role = "aut"))
Description: Fitting (hierarchical) hidden Markov models to daily share prices provided by <https://finance.yahoo.com/>. See <https://github.com/loelschlaeger/fHMM#readme> for documentation and examples.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: MASS, progress, Rcpp, tseries
LinkingTo: Rcpp, RcppArmadillo
Depends: R (>= 3.5.0)
RoxygenNote: 7.1.1
NeedsCompilation: yes
Packaged: 2021-02-20 00:30:30 UTC; Lennart
Author: Lennart Oelschläger [aut, cre], Timo Adam [aut]
Maintainer: Lennart Oelschläger <lennart.oelschlaeger@uni-bielefeld.de>
Repository: CRAN
Date/Publication: 2021-02-22 16:20:07 UTC

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Package fftwtools updated to version 0.9-10 with previous version 0.9-9 dated 2020-10-03

Title: Wrapper for 'FFTW3' Includes: One-Dimensional, Two-Dimensional, Three-Dimensional, and Multivariate Transforms
Description: Provides a wrapper for several 'FFTW' functions. This package provides access to the two-dimensional 'FFT', the multivariate 'FFT', and the one-dimensional real to complex 'FFT' using the 'FFTW3' library. The package includes the functions fftw() and mvfftw() which are designed to mimic the functionality of the R functions fft() and mvfft(). The 'FFT' functions have a parameter that allows them to not return the redundant complex conjugate when the input is real data.
Author: Karim Rahim <karim.rahim@queensu.ca>
Maintainer: Karim Rahim <karim.rahim@queensu.ca>

Diff between fftwtools versions 0.9-9 dated 2020-10-03 and 0.9-10 dated 2021-02-22

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Package energy updated to version 1.7-8 with previous version 1.7-7 dated 2019-12-07

Title: E-Statistics: Multivariate Inference via the Energy of Data
Description: E-statistics (energy) tests and statistics for multivariate and univariate inference, including distance correlation, one-sample, two-sample, and multi-sample tests for comparing multivariate distributions, are implemented. Measuring and testing multivariate independence based on distance correlation, partial distance correlation, multivariate goodness-of-fit tests, k-groups and hierarchical clustering based on energy distance, testing for multivariate normality, distance components (disco) for non-parametric analysis of structured data, and other energy statistics/methods are implemented.
Author: Maria Rizzo [aut, cre], Gabor Szekely [aut]
Maintainer: Maria Rizzo <mrizzo@bgsu.edu>

Diff between energy versions 1.7-7 dated 2019-12-07 and 1.7-8 dated 2021-02-22

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Package broom.helpers updated to version 1.2.0 with previous version 1.1.0 dated 2020-11-24

Title: Helpers for Model Coefficients Tibbles
Description: Provides suite of functions to work with regression model 'broom::tidy()' tibbles. The suite includes functions to group regression model terms by variable, insert reference and header rows for categorical variables, add variable labels, and more.
Author: Joseph Larmarange [aut, cre] (<https://orcid.org/0000-0001-7097-700X>), Daniel D. Sjoberg [aut] (<https://orcid.org/0000-0003-0862-2018>)
Maintainer: Joseph Larmarange <joseph@larmarange.net>

Diff between broom.helpers versions 1.1.0 dated 2020-11-24 and 1.2.0 dated 2021-02-22

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Package lmtp updated to version 0.9.0 with previous version 0.0.5 dated 2020-07-18

Title: Non-Parametric Causal Effects of Feasible Interventions Based on Modified Treatment Policies
Description: Non-parametric estimators for casual effects based on longitudinal modified treatment policies as described in Diaz, Williams, and Hoffman (<arXiv:2006.01366>), traditional point treatment, and traditional longitudinal effects. Continuous, binary, and categorical treatments are allowed as well are censored outcomes. The treatment mechanism is estimated via a density ratio classification procedure irrespective of treatment variable type. For both continuous and binary outcomes, additive treatment effects can be calculated and relative risks and odds ratios may be calculated for binary outcomes.
Author: Nicholas Williams [aut, cre, cph] (<https://orcid.org/0000-0002-1378-4831>), Iván Díaz [aut, cph] (<https://orcid.org/0000-0001-9056-2047>)
Maintainer: Nicholas Williams <niw4001@med.cornell.edu>

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Package GlmSimulatoR updated to version 0.2.4 with previous version 0.2.3 dated 2020-06-16

Title: Creates Ideal Data for Generalized Linear Models
Description: Have you ever struggled to find "good data" for a generalized linear model? Would you like to test how quickly statistics converge to parameters, or learn how picking different link functions affects model performance? This package creates ideal data for both common and novel generalized linear models so your questions can be empirically answered.
Author: Greg McMahan
Maintainer: Greg McMahan <gmcmacran@gmail.com>

Diff between GlmSimulatoR versions 0.2.3 dated 2020-06-16 and 0.2.4 dated 2021-02-22

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New package scan with initial version 0.51
Package: scan
Type: Package
Title: Single-Case Data Analyses for Single and Multiple Baseline Designs
Version: 0.51
Date: 2021-2-11
Author: Juergen Wilbert [aut, cre], Timo Lueke [aut]
Maintainer: Juergen Wilbert <jwilbert@uni-potsdam.de>
Imports: stats, nlme, utils, methods, graphics, car, MASS, knitr, kableExtra, readxl, mblm
Suggests:
Depends: R (>= 3.5.0)
Description: A collection of procedures for analysing, visualising, and managing single-case data. These include piecewise linear regression models, multilevel models, overlap indices (PND, PEM, PAND, PET, tauU, baseline corrected tau), and randomization tests. Data preparation functions support outlier detection, handling missing values, scaling, truncating, rank transformation, and smoothing. An exporting function helps to generate html and latex tables in a publication friendly style. More details can be found at <https://jazznbass.github.io/scan-Book/>.
License: GPL
URL: https://r-forge.r-project.org/projects/scan/, https://jazznbass.github.io/scan-Book/index.html
LazyData: true
Encoding: UTF-8
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-02-12 10:08:00 UTC; jurgenwilbert
Repository: CRAN
Date/Publication: 2021-02-22 14:30:02 UTC

More information about scan at CRAN
Permanent link

Package runner updated to version 0.3.8 with previous version 0.3.7 dated 2020-05-16

Title: Running Operations for Vectors
Description: Lightweight library for rolling windows operations. Package enables full control over the window length, window lag and a time indices. With a runner one can apply any R function on a rolling windows. The package eases work with equally and unequally spaced time series.
Author: Dawid Kałędkowski [aut, cre] (<https://orcid.org/0000-0001-9533-457X>)
Maintainer: Dawid Kałędkowski <dawid.kaledkowski@gmail.com>

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Package reactR updated to version 0.4.4 with previous version 0.4.3 dated 2020-07-12

Title: React Helpers
Description: Make it easy to use 'React' in R with 'htmlwidget' scaffolds, helper dependency functions, an embedded 'Babel' 'transpiler', and examples.
Author: Facebook Inc [aut, cph] (React library in lib, https://reactjs.org/; see AUTHORS for full list of contributors), Michel Weststrate [aut, cph] (mobx library in lib, https://github.com/mobxjs), Kent Russell [aut, cre] (R interface), Alan Dipert [aut] (R interface)
Maintainer: Kent Russell <kent.russell@timelyportfolio.com>

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Package mlr updated to version 2.19.0 with previous version 2.18.0 dated 2020-10-05

Title: Machine Learning in R
Description: Interface to a large number of classification and regression techniques, including machine-readable parameter descriptions. There is also an experimental extension for survival analysis, clustering and general, example-specific cost-sensitive learning. Generic resampling, including cross-validation, bootstrapping and subsampling. Hyperparameter tuning with modern optimization techniques, for single- and multi-objective problems. Filter and wrapper methods for feature selection. Extension of basic learners with additional operations common in machine learning, also allowing for easy nested resampling. Most operations can be parallelized.
Author: Bernd Bischl [aut] (<https://orcid.org/0000-0001-6002-6980>), Michel Lang [aut] (<https://orcid.org/0000-0001-9754-0393>), Lars Kotthoff [aut], Patrick Schratz [aut, cre] (<https://orcid.org/0000-0003-0748-6624>), Julia Schiffner [aut], Jakob Richter [aut], Zachary Jones [aut], Giuseppe Casalicchio [aut] (<https://orcid.org/0000-0001-5324-5966>), Mason Gallo [aut], Jakob Bossek [ctb] (<https://orcid.org/0000-0002-4121-4668>), Erich Studerus [ctb] (<https://orcid.org/0000-0003-4233-0182>), Leonard Judt [ctb], Tobias Kuehn [ctb], Pascal Kerschke [ctb] (<https://orcid.org/0000-0003-2862-1418>), Florian Fendt [ctb], Philipp Probst [ctb] (<https://orcid.org/0000-0001-8402-6790>), Xudong Sun [ctb] (<https://orcid.org/0000-0003-3269-2307>), Janek Thomas [ctb] (<https://orcid.org/0000-0003-4511-6245>), Bruno Vieira [ctb], Laura Beggel [ctb] (<https://orcid.org/0000-0002-8872-8535>), Quay Au [ctb] (<https://orcid.org/0000-0002-5252-8902>), Martin Binder [ctb], Florian Pfisterer [ctb], Stefan Coors [ctb], Steve Bronder [ctb], Alexander Engelhardt [ctb], Christoph Molnar [ctb], Annette Spooner [ctb]
Maintainer: Patrick Schratz <patrick.schratz@gmail.com>

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Package LipidMS updated to version 2.1.1 with previous version 2.1.0 dated 2021-02-11

Title: Lipid Annotation for LC-MS/MS DDA or DIA Data
Description: Lipid annotation in untargeted liquid chromatography mass spectrometry lipidomics based on fragmentation rules. Alcoriza-Balaguer MI, Garcia-Canaveras JC, Lopez A, Conde I, Juan O, Carretero J, Lahoz A (2019) <doi:10.1021/acs.analchem.8b03409>.
Author: M Isabel Alcoriza-Balaguer, J Carlos Garcia-Canaveras
Maintainer: M Isabel Alcoriza-Balaguer <maribel_alcoriza@iislafe.es>

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Package IPDFileCheck updated to version 0.6.6 with previous version 0.6.5 dated 2021-02-16

Title: Basic Functions to Check Readability, Consistency, and Content of an Individual Participant Data File
Description: Basic checks needed with an individual level participant data from randomised controlled trial. This checks files for existence, read access and individual columns for formats. The checks on format is currently implemented for gender and age formats.
Author: Sheeja Manchira Krishnan
Maintainer: Sheeja Manchira Krishnan <sheejamk@gmail.com>

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Package insight updated to version 0.13.1 with previous version 0.13.0 dated 2021-02-15

Title: Easy Access to Model Information for Various Model Objects
Description: A tool to provide an easy, intuitive and consistent access to information contained in various R models, like model formulas, model terms, information about random effects, data that was used to fit the model or data from response variables. 'insight' mainly revolves around two types of functions: Functions that find (the names of) information, starting with 'find_', and functions that get the underlying data, starting with 'get_'. The package has a consistent syntax and works with many different model objects, where otherwise functions to access these information are missing.
Author: Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>, @strengejacke), Dominique Makowski [aut, ctb] (<https://orcid.org/0000-0001-5375-9967>, @Dom_Makowski), Indrajeet Patil [aut, ctb] (<https://orcid.org/0000-0003-1995-6531>, @patilindrajeets), Philip Waggoner [aut, ctb] (<https://orcid.org/0000-0002-7825-7573>), Mattan S. Ben-Shachar [aut, ctb] (<https://orcid.org/0000-0002-4287-4801>)
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

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Package cmsafvis updated to version 1.1.1 with previous version 1.1.0 dated 2021-02-19

Title: Tools to Visualize CM SAF NetCDF Data
Description: The Satellite Application Facility on Climate Monitoring (CM SAF) is a ground segment of the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) and one of EUMETSATs Satellite Application Facilities. The CM SAF contributes to the sustainable monitoring of the climate system by providing essential climate variables related to the energy and water cycle of the atmosphere (<http://www.cmsaf.eu>). It is a joint cooperation of eight National Meteorological and Hydrological Services. The 'cmsafvis' R-package provides a collection of R-operators for the analysis and visualization of CM SAF NetCDF data. CM SAF climate data records are provided for free via (<https://wui.cmsaf.eu/safira>). Detailed information and test data are provided on the CM SAF webpage (<http://www.cmsaf.eu/R_toolbox>).
Author: Steffen Kothe [aut, cre]
Maintainer: Steffen Kothe <Steffen.Kothe@dwd.de>

Diff between cmsafvis versions 1.1.0 dated 2021-02-19 and 1.1.1 dated 2021-02-22

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Package bssm updated to version 1.1.3-1 with previous version 1.1.2 dated 2021-02-08

Title: Bayesian Inference of Non-Linear and Non-Gaussian State Space Models
Description: Efficient methods for Bayesian inference of state space models via particle Markov chain Monte Carlo (MCMC) and MCMC based on parallel importance sampling type weighted estimators (Vihola, Helske, and Franks, 2020, <doi:10.1111/sjos.12492>). Gaussian, Poisson, binomial, negative binomial, and Gamma observation densities and basic stochastic volatility models with linear-Gaussian state dynamics, as well as general non-linear Gaussian models and discretised diffusion models are supported.
Author: Jouni Helske [aut, cre] (<https://orcid.org/0000-0001-7130-793X>), Matti Vihola [aut] (<https://orcid.org/0000-0002-8041-7222>)
Maintainer: Jouni Helske <jouni.helske@iki.fi>

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Package act updated to version 1.0.1 with previous version 1.0 dated 2021-01-08

Title: Aligned Corpus Toolkit
Description: The Aligned Corpus Toolkit (act) is designed for linguists that work with time aligned transcription data. It offers functions to import and export various annotation file formats ('ELAN' .eaf, 'EXMARaLDA .exb and 'Praat' .TextGrid files), create print transcripts in the style of conversation analysis, search transcripts (span searches across multiple annotations, search in normalized annotations, make concordances etc.), export and re-import search results (.csv and 'Excel' .xlsx format), create cuts for the search results (print transcripts, audio/video cuts using 'FFmpeg' and video sub titles in 'Subrib title' .srt format), modify the data in a corpus (search/replace, delete, filter etc.), interact with 'Praat' using 'Praat'-scripts, and exchange data with the 'rPraat' package. The package is itself written in R and may be expanded by other users.
Author: Oliver Ehmer [aut, cre]
Maintainer: Oliver Ehmer <oliver.ehmer@romanistik.uni-freiburg.de>

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New package alookr with initial version 0.3.4
Package: alookr
Type: Package
Title: Model Classifier for Binary Classification
Version: 0.3.4
Authors@R: c( person("Choonghyun", "Ryu",, "choonghyun.ryu@gmail.com", role = c("aut", "cre")) )
Description: A collection of tools that support data splitting, predictive modeling, and model evaluation. A typical function is to split a dataset into a training dataset and a test dataset. Then compare the data distribution of the two datasets. Another feature is to support the development of predictive models and to compare the performance of several predictive models, helping to select the best model.
Depends: R (>= 3.2.0), ggplot2 (>= 3.0.0), randomForest
Imports: caTools, cli (>= 1.1.0), dlookr, dplyr (>= 0.7.6), future, ggmosaic, MASS, MLmetrics, methods, party, purrr, ROCR, ranger, rlang, rpart, stats, tibble, tidyr, tidyselect, unbalanced, xgboost
Suggests: knitr, ISLR, mice, mlbench
Author: Choonghyun Ryu [aut, cre]
Maintainer: Choonghyun Ryu <choonghyun.ryu@gmail.com>
BugReports: https://github.com/choonghyunryu/alookr/issues
License: GPL-2 | file LICENSE
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 7.1.1
Language: en-US
NeedsCompilation: no
Packaged: 2021-02-22 04:18:57 UTC; choonghyunryu
Repository: CRAN
Date/Publication: 2021-02-22 14:40:02 UTC

More information about alookr at CRAN
Permanent link

Package rasterdiv updated to version 0.2-3 with previous version 0.2-2 dated 2020-11-17

Title: Diversity Indices for Numerical Matrices
Description: Providing functions to calculate indices of diversity on numerical matrices based on information theory. The rationale behind the package is described in Rocchini, Marcantonio and Ricotta (2017) <doi:10.1016/j.ecolind.2016.07.039> and Rocchini, Marcantonio,..., Ricotta (2021) <doi:10.1101/2021.01.23.427872>.
Author: Matteo Marcantonio [aut, cre], Martina Iannacito [aut, ctb], Elisa Marchetto [ctb], Elisa Thouverai [aut, ctb], Daniele Da Re [aut], Clara Tattoni [aut], Giovanni Bacaro [aut], Saverio Vicario [aut, ctb], Carlo Ricotta [aut], Duccio Rocchini [aut, ctb]
Maintainer: Matteo Marcantonio <marcantoniomatteo@gmail.com>

Diff between rasterdiv versions 0.2-2 dated 2020-11-17 and 0.2-3 dated 2021-02-22

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Package rameritrade updated to version 0.1.5 with previous version 0.1.4 dated 2020-10-15

Title: 'TD Ameritrade' API Interface for R
Description: Use R to interface with the 'TD Ameritrade' API <https://developer.tdameritrade.com/>. Functions include authentication, trading, price requests, account information, and option chains. A user will need a TD brokerage account and TD Ameritrade developer app. See README for authentication process and examples.
Author: Anthony Balentine [aut, cre]
Maintainer: Anthony Balentine <exploringfinance1@gmail.com>

Diff between rameritrade versions 0.1.4 dated 2020-10-15 and 0.1.5 dated 2021-02-22

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Package permutes updated to version 2.0 with previous version 1.0 dated 2019-07-21

Title: Permutation Tests for Time Series Data
Description: Helps you determine the analysis window to use when analyzing densely-sampled time-series data, such as EEG data, using permutation testing (Maris & Oostenveld, 2007) <doi:10.1016/j.jneumeth.2007.03.024>. These permutation tests can help identify the timepoints where significance of an effect begins and ends, and the results can be plotted in various types of heatmap for reporting. Mixed-effects models are supported using an implementation of the approach by Lee & Braun (2012) <doi:10.1111/j.1541-0420.2011.01675.x>.
Author: Cesko C. Voeten [aut, cre]
Maintainer: Cesko C. Voeten <cvoeten@gmail.com>

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Package mlr3oml updated to version 0.4.2 with previous version 0.4.1 dated 2021-01-27

Title: Connector Between 'mlr3' and 'OpenML'
Description: Provides an interface to 'OpenML.org' to list and download machine learning data and tasks. Data and tasks can be automatically converted to 'mlr3' tasks. For a more sophisticated interface which also allows uploading experiments, see the 'OpenML' package.
Author: Michel Lang [cre, aut] (<https://orcid.org/0000-0001-9754-0393>)
Maintainer: Michel Lang <michellang@gmail.com>

Diff between mlr3oml versions 0.4.1 dated 2021-01-27 and 0.4.2 dated 2021-02-22

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Package fmpcloudr updated to version 0.1.4 with previous version 0.1.3 dated 2021-02-05

Title: R Access to the 'FMP Cloud' and 'Financial Modeling Prep' API
Description: Use R to access to the 'FMP Cloud' API <https://fmpcloud.io/> and 'Financial Modeling Prep' API <https://financialmodelingprep.com/developer/docs/>. Data available includes stock prices, market indexes, company fundamentals, 13F holdings data, and much more. A valid API token must be set to enable functions.
Author: Anthony Balentine [aut, cre]
Maintainer: Anthony Balentine <exploringfinance1@gmail.com>

Diff between fmpcloudr versions 0.1.3 dated 2021-02-05 and 0.1.4 dated 2021-02-22

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Package etrader updated to version 0.1.3 with previous version 0.1.2 dated 2020-11-26

Title: 'ETRADE' API Interface for R
Description: Use R to interface with the 'ETRADE' API <https://developer.etrade.com/home>. Functions include authentication, trading, quote requests, account information, and option chains. A user will need an ETRADE brokerage account and 'ETRADE' API approval. See README for authentication process and examples.
Author: Anthony Balentine [aut, cre]
Maintainer: Anthony Balentine <exploringfinance1@gmail.com>

Diff between etrader versions 0.1.2 dated 2020-11-26 and 0.1.3 dated 2021-02-22

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Package textshaping updated to version 0.3.1 with previous version 0.3.0 dated 2021-02-10

Title: Bindings to the 'HarfBuzz' and 'Fribidi' Libraries for Text Shaping
Description: Provides access to the text shaping functionality in the 'HarfBuzz' library and the bidirectional algorithm in the 'Fribidi' library. 'textshaping' is a low-level utility package mainly for graphic devices that expands upon the font tool-set provided by the 'systemfonts' package.
Author: Thomas Lin Pedersen [cre, aut] (<https://orcid.org/0000-0002-5147-4711>), RStudio [cph]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@rstudio.com>

Diff between textshaping versions 0.3.0 dated 2021-02-10 and 0.3.1 dated 2021-02-22

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New package ProAE with initial version 0.1.0
Package: ProAE
Type: Package
Title: PRO-CTCAE Data Management, Analysis, and Graphical Tools
Version: 0.1.0
Author: Blake Langlais [aut, cre], Amylou Dueck [aut]
Maintainer: Blake Langlais <langlais.blake@mayo.edu>
Description: A collection of tools to facilitate standardized analysis and graphical procedures when using the National Cancer Institute’s Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE).
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: ggplot2, ggnewscale, ggtext, dplyr, Hmisc, magrittr
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Depends: R (>= 3.6.0)
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-02-19 20:52:28 UTC; m166125
Repository: CRAN
Date/Publication: 2021-02-22 12:30:02 UTC

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New package polynomial with initial version 0.1.0
Package: polynomial
Type: Package
Title: Handling Univariate Polynomials
Version: 0.1.0
Author: Andrew Simmons
Maintainer: Andrew Simmons <akwsimmo@gmail.com>
Description: Provides a 'polynomial' class, functions to create, coerce and test for class 'polynomial', various functions to manipulate these polynomials, and functions for calculating the coefficients of some common polynomials.
License: MIT + file LICENSE
Depends: essentials, methods
Imports: graphics, grDevices, stats
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2021-02-19 18:42:02 UTC; andre
Repository: CRAN
Date/Publication: 2021-02-22 12:20:02 UTC

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New package JBrowseR with initial version 0.7.0
Package: JBrowseR
Title: An R Interface to the JBrowse 2 Genome Browser
Version: 0.7.0
Authors@R: c(person(given = "Elliot", family = "Hershberg", role = c("aut", "cre"), email = "eahershberg@gmail.com", comment = c(ORCID = "0000-0003-2068-3366")), person(given = "the JBrowse 2 Team", role = c("aut")))
Description: Provides an R interface to the JBrowse 2 genome browser. Enables embedding a JB2 genome browser in a Shiny app or R Markdown document. The browser can also be launched from an interactive R console. The browser can be loaded with a variety of common genomics data types, and can be used with a custom theme.
License: Apache License (>= 2)
URL: https://elliothershberg.github.io/JBrowseR/ https://github.com/elliothershberg/JBrowseR
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: htmltools, htmlwidgets, reactR, stringr, magrittr, readr, jsonlite, httpuv, mime, cli
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
Config/testthat/edition: 3
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-02-19 16:09:29 UTC; elliothershberg
Author: Elliot Hershberg [aut, cre] (<https://orcid.org/0000-0003-2068-3366>), the JBrowse 2 Team [aut]
Maintainer: Elliot Hershberg <eahershberg@gmail.com>
Repository: CRAN
Date/Publication: 2021-02-22 12:10:06 UTC

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New package fontawesome with initial version 0.1.0
Type: Package
Package: fontawesome
Version: 0.1.0
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.
Authors@R: c( person("Richard", "Iannone", , "rich@rstudio.com", c("aut", "cre"), comment = c(ORCID = "0000-0003-3925-190X")), person("Dave", "Gandy", role = c("ctb", "cph"), comment = "Font-Awesome font"), person("RStudio", role = c("cph", "fnd")) )
License: MIT + file LICENSE
URL: https://github.com/rstudio/fontawesome
BugReports: https://github.com/rstudio/fontawesome/issues
Encoding: UTF-8
LazyData: true
ByteCompile: true
RoxygenNote: 7.1.1
Depends: R (>= 3.5.0)
Imports: dplyr (>= 1.0.4), htmltools (>= 0.5.1.1), magrittr, pointblank (>= 0.6.0)
Suggests: covr, knitr, testthat, rsvg
NeedsCompilation: no
Packaged: 2021-02-19 16:16:31 UTC; rich
Author: Richard Iannone [aut, cre] (<https://orcid.org/0000-0003-3925-190X>), Dave Gandy [ctb, cph] (Font-Awesome font), RStudio [cph, fnd]
Maintainer: Richard Iannone <rich@rstudio.com>
Repository: CRAN
Date/Publication: 2021-02-22 12:10:02 UTC

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New package votesmart with initial version 0.1.0
Type: Package
Package: votesmart
Title: Wrapper for the Project 'VoteSmart' API
Version: 0.1.0
Authors@R: c(person(given = "Deck Technologies", role = c("cph", "fnd"), email = "info@deck.tools"), person(given = "Amanda", family = "Dobbyn", role = c("aut", "cre"), email = "amanda@deck.tools"), person(given = "Max", family = "Wood", role = "aut", email = "max@deck.tools"), person(given = "Alyssa", family = "Frazee", role = "aut", email = "alyssa@deck.tools"))
Maintainer: Amanda Dobbyn <amanda@deck.tools>
Description: An R interface to the Project 'VoteSmart'<https://justfacts.votesmart.org/> API.
License: MIT + file LICENSE
URL: https://github.com/decktools/votesmart/
BugReports: https://github.com/decktools/votesmart/issues/
Depends: R (>= 3.2)
Imports: dplyr (>= 1.0.0), gestalt (>= 0.1.8), glue (>= 1.3.1), httr (>= 1.4.1), jsonlite (>= 1.6.1), lubridate (>= 1.7.4), magrittr (>= 1.5), purrr (>= 0.3.3), snakecase (>= 0.11.0), stringr (>= 1.4.0), tidyr (>= 1.0.2)
Suggests: conflicted (>= 1.0.4), covr (>= 3.4.0), knitr (>= 1.27), rmarkdown (>= 2.1), spelling (>= 2.1), testthat (>= 2.1.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-02-19 15:06:02 UTC; amanda
Author: Deck Technologies [cph, fnd], Amanda Dobbyn [aut, cre], Max Wood [aut], Alyssa Frazee [aut]
Repository: CRAN
Date/Publication: 2021-02-22 11:30:03 UTC

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New package stlELM with initial version 0.1.0
Package: stlELM
Type: Package
Title: Hybrid Forecasting Model Based on STL Decomposition and ELM
Version: 0.1.0
Authors@R: c(person(given = "Girish Kumar", family = "Jha", role = c("aut", "cre"), email = "girish.stat@gmail.com"), person(given = "Ronit", family = "Jaiswal", role = c("aut", "ctb")), person(given = "Kapil", family = "Choudhary", role = "ctb"), person(given = "Rajeev Ranjan", family = "Kumar", role = "ctb"))
Maintainer: Girish Kumar Jha <girish.stat@gmail.com>
Description: Univariate time series forecasting with STL decomposition based Extreme Learning Machine hybrid model. For method details see Xiong T, Li C, Bao Y (2018). <doi:10.1016/j.neucom.2017.11.053>.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: forecast, nnfor
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2021-02-19 11:25:25 UTC; Rajeev-PC
Author: Girish Kumar Jha [aut, cre], Ronit Jaiswal [aut, ctb], Kapil Choudhary [ctb], Rajeev Ranjan Kumar [ctb]
Repository: CRAN
Date/Publication: 2021-02-22 11:10:02 UTC

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Package SLEMI updated to version 1.0.1 with previous version 1.0 dated 2019-10-07

Title: Statistical Learning Based Estimation of Mutual Information
Description: The implementation of the algorithm for estimation of mutual information and channel capacity from experimental data by classification procedures (logistic regression). Technically, it allows to estimate information-theoretic measures between finite-state input and multivariate, continuous output. Method described in Jetka et al. (2019) <doi:10.1371/journal.pcbi.1007132>.
Author: Tomasz Jetka [aut, cre], Karol Nienaltowski [ctb], Michal Komorowski [ctb]
Maintainer: Tomasz Jetka <t.jetka@gmail.com>

Diff between SLEMI versions 1.0 dated 2019-10-07 and 1.0.1 dated 2021-02-22

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 NEWS.md                               |only
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New package SPARTAAS with initial version 1.0.0
Package: SPARTAAS
Type: Package
Title: Statistical Methods for Archaeology
Version: 1.0.0
Authors@R: c(person("Lise","Bellanger", role = "aut", email = "lise.bellanger@univ-nantes.fr"), person("Philippe","Husi", role = "aut", email = "philippe.husi@univ-tours.fr"), person("Arthur","Coulon", role = c("aut","cre"), email = "arthur-coulon@outlook.fr"), person("Bruno","Desachy", role = "ctb"), person("Benjamin","Martineau", role = "ctb") )
Maintainer: Arthur Coulon <arthur-coulon@outlook.fr>
Description: Statistical pattern recognition and dating using archaeological artefacts assemblages. Package of statistical tools for archaeology. hclustcompro(perioclust): Bellanger Lise, Coulon Arthur, Husi Philippe (2020, ISBN:978-3-030-60103-4). seriograph: Bruno Desachy (2004) <doi:10.3406/pica.2004.2396>.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.3)
Imports: FactoMineR, grDevices,dplyr,tidyr,ggplot2,plotly,stringr,colorspace,crayon, shiny,shinydashboard,shinyjs,shinyjqui,fpc,ggdendro, rstudioapi,htmlwidgets,shinythemes,markdown,explor,shinyWidgets,scatterD3, sp,ks,rgdal,foreign,maptools,grid,cluster,leaflet,ape,mapview
Suggests: knitr, rmarkdown
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-02-19 14:47:45 UTC; Shadow
Author: Lise Bellanger [aut], Philippe Husi [aut], Arthur Coulon [aut, cre], Bruno Desachy [ctb], Benjamin Martineau [ctb]
Repository: CRAN
Date/Publication: 2021-02-22 11:20:02 UTC

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New package lvmisc with initial version 0.1.0
Package: lvmisc
Title: Veras Miscellaneous
Version: 0.1.0
Authors@R: person(given = "Lucas", family = "Veras", role = c("aut", "cre"), email = "lucasdsveras@gmail.com", comment = c(ORCID = "0000-0003-0562-5803"))
Description: Contains a collection of useful functions for basic data computation and manipulation, wrapper functions for generating 'ggplot2' graphics, including statistical model diagnostic plots, methods for computing statistical models quality measures (such as AIC, BIC, r squared, root mean squared error) and general utilities.
License: MIT + file LICENSE
URL: https://lveras.com/lvmisc/
BugReports: https://github.com/verasls/lvmisc/issues
Imports: cowplot, dplyr (>= 1.0.0), ggplot2, glue, grDevices, methods, purrr, rlang (>= 0.4.6), rsample, stats, tibble, tidyselect, vctrs (>= 0.3.0)
Suggests: covr, devtools, forcats, fs, git2r, knitr, lme4, rmarkdown, testthat, usethis, vdiffr, withr
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
VignetteBuilder: knitr
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2021-02-19 15:41:15 UTC; lucasveras
Author: Lucas Veras [aut, cre] (<https://orcid.org/0000-0003-0562-5803>)
Maintainer: Lucas Veras <lucasdsveras@gmail.com>
Repository: CRAN
Date/Publication: 2021-02-22 11:30:06 UTC

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New package dematel with initial version 0.1.0
Package: dematel
Type: Package
Title: Decision Making Trial and Evaluation Laboratory Technique in R
Version: 0.1.0
Date: 2021-02-18
Authors@R: c( person("Muhlis", "Ozdemir", email = "muhlisoz@gmail.com", role = c("aut","cre"), comment = c(ORCID = "0000-0002-4921-8209")), person("Yakup", "Celikbilek", email = "yakupcelikbilek@gmail.com", role = c("aut","ctb"), comment = c(ORCID = "0000-0003-0585-1085")))
Maintainer: Muhlis Ozdemir <muhlisoz@gmail.com>
Description: Developed to Solve the Multi-Criteria Decision Making Problems with Decision Making Trial and Evaluation Laboratory Technique in R.
Depends: R (>= 3.5.0),
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: ggplot2, knitr
Suggests: rmarkdown
VignetteBuilder: knitr
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-02-19 12:09:12 UTC; Okul
Author: Muhlis Ozdemir [aut, cre] (<https://orcid.org/0000-0002-4921-8209>), Yakup Celikbilek [aut, ctb] (<https://orcid.org/0000-0003-0585-1085>)
Repository: CRAN
Date/Publication: 2021-02-22 11:10:05 UTC

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Package CAvariants updated to version 5.6 with previous version 5.5 dated 2020-04-01

Title: Correspondence Analysis Variants
Description: Provides six variants of two-way correspondence analysis (ca): simple ca, singly ordered ca, doubly ordered ca, non symmetrical ca, singly ordered non symmetrical ca, and doubly ordered non symmetrical ca.
Author: Rosaria Lombardo and Eric J Beh
Maintainer: Rosaria Lombardo <rosaria.lombardo@unicampania.it>

Diff between CAvariants versions 5.5 dated 2020-04-01 and 5.6 dated 2021-02-22

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 CAvariants-5.6/CAvariants/R/plot.CAvariants.R    |   22 +++-
 CAvariants-5.6/CAvariants/R/print.CAvariants.R   |   26 +++--
 CAvariants-5.6/CAvariants/R/summary.CAvariants.R |    4 
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 13 files changed, 145 insertions(+), 190 deletions(-)

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New package stencilaschema with initial version 1.0.0
Package: stencilaschema
Title: Bindings for Stencila Schema
Description: Provides R bindings for the Stencila Schema <https://schema.stenci.la>. This package is primarily aimed at R developers wanting to programmatically generate, or modify, executable documents.
Authors@R: c( person("Nokome", "Bentley", email = "nokome@stenci.la", role = c("aut", "cre")) )
URL: https://github.com/stencila/schema#readme
BugReports: https://github.com/stencila/schema/issues
License: Apache License (>= 2)
Language: en-gb
Version: 1.0.0
Encoding: UTF-8
Suggests: covr, devtools, lintr, pkgdown, rhub, roxygen2, spelling, testthat
RoxygenNote: 7.1.1
Collate: 'typing.R' 'types.R'
NeedsCompilation: no
Packaged: 2021-02-19 03:07:31 UTC; nokome
Author: Nokome Bentley [aut, cre]
Maintainer: Nokome Bentley <nokome@stenci.la>
Repository: CRAN
Date/Publication: 2021-02-22 10:40:03 UTC

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New package MIRES with initial version 0.1.0
Package: MIRES
Title: Measurement Invariance Assessment Using Random Effects Models and Shrinkage
Version: 0.1.0
Authors@R: c(person(given = "Stephen", family = "Martin", role = c("aut", "cre"), email = "stephenSRMMartin@gmail.com", comment = c(ORCID = "0000-0001-8085-2390")), person(given = "Philippe", family = "Rast", role = "aut", email = "rast.ph@gmail.com", comment = c(ORCID = "0000-0003-3630-6629")))
Description: Estimates random effect latent measurement models, wherein the loadings, residual variances, intercepts, latent means, and latent variances all vary across groups. The random effect variances of the measurement parameters are then modeled using a hierarchical inclusion model, wherein the inclusion of the variances (i.e., whether it is effectively zero or non-zero) is informed by similar parameters (of the same type, or of the same item). This additional hierarchical structure allows the evidence in favor of partial invariance to accumulate more quickly, and yields more certain decisions about measurement invariance. Martin, Williams, and Rast (2020) <doi:10.31234/osf.io/qbdjt>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Biarch: true
Depends: R (>= 4.0.0)
Imports: methods, Rcpp (>= 0.12.0), rstan (>= 2.18.1), rstantools (>= 2.0.0), Formula (>= 1.2-1), stats (>= 3.4.0), parallel (>= 3.4.0), mvtnorm (>= 1.0), dirichletprocess (>= 0.4.0), truncnorm (>= 1.0), pracma (>= 2.2.9), cubature (>= 2.0.0), logspline (>= 2.1.0), nlme (>= 3.1), HDInterval (>= 0.2.2)
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
SystemRequirements: GNU make
RoxygenNote: 7.1.1
BugReports: https://github.com/stephenSRMMartin/MIRES/issues
Suggests: testthat
Config/testthat/edition: 3
NeedsCompilation: yes
Packaged: 2021-02-19 02:12:41 UTC; hwkiller
Author: Stephen Martin [aut, cre] (<https://orcid.org/0000-0001-8085-2390>), Philippe Rast [aut] (<https://orcid.org/0000-0003-3630-6629>)
Maintainer: Stephen Martin <stephenSRMMartin@gmail.com>
Repository: CRAN
Date/Publication: 2021-02-22 10:40:11 UTC

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Package erratum updated to version 2.1.0 with previous version 2.0.0 dated 2020-12-21

Title: Handle Error and Warning Messages
Description: Elegantly handle error and warning messages.
Author: John Coene [aut, cre], Opifex [cph]
Maintainer: John Coene <john@opifex.org>

Diff between erratum versions 2.0.0 dated 2020-12-21 and 2.1.0 dated 2021-02-22

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New package cmaRs with initial version 0.1.0
Package: cmaRs
Title: Implementation of the Conic Multivariate Adaptive Regression Splines in R
Version: 0.1.0
Authors@R: c(person("Fatma", "Yerlikaya-Ozkurt", email = "fatma.yerlikaya@atilim.edu.tr", role = "aut"), person("Ceyda", "Yazici", email = "ceydayazici86@gmail.com", role = c("aut", "cre")), person("Inci", "Batmaz", email = "ibatmaz@metu.edu.tr", role = c("aut")))
Author: Fatma Yerlikaya-Ozkurt [aut], Ceyda Yazici [aut, cre], Inci Batmaz [aut]
Maintainer: Ceyda Yazici <ceydayazici86@gmail.com>
SystemRequirements: MOSEK (http://www.mosek.com) and MOSEK License for use of Rmosek
Description: An implementation of 'Conic Multivariate Adaptive Regression Splines (CMARS)' in R. See Weber et al. (2011) CMARS: a new contribution to nonparametric regression with multivariate adaptive regression splines supported by continuous optimization, <DOI:10.1080/17415977.2011.624770>. It constructs models by using the terms obtained from the forward step of MARS and then estimates parameters by using 'Tikhonov' regularization and conic quadratic optimization. It is possible to construct models for prediction and binary classification. It provides performance measures for the model developed. The package needs the optimisation software 'MOSEK' <https://www.mosek.com/> to construct the models. Please follow the instructions in 'Rmosek' for the installation.
License: GPL (>= 2)
BugReports: https://github.com/yaziciceyda/cmaRs/issues
Encoding: UTF-8
LazyData: true
Imports: earth, graphics, Rmosek, stats, stringr, utils, Matrix, AUC, Ryacas0
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-02-19 09:58:55 UTC; ceyda.yazici
Repository: CRAN
Date/Publication: 2021-02-22 11:00:02 UTC

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Package TLMoments updated to version 0.7.5.1 with previous version 0.7.5 dated 2019-12-04

Title: Calculate TL-Moments and Convert Them to Distribution Parameters
Description: Calculates empirical TL-moments (trimmed L-moments) of arbitrary order and trimming, and converts them to distribution parameters.
Author: Jona Lilienthal
Maintainer: Jona Lilienthal <lilienthal@statistik.tu-dortmund.de>

Diff between TLMoments versions 0.7.5 dated 2019-12-04 and 0.7.5.1 dated 2021-02-22

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Package seacarb updated to version 3.2.16 with previous version 3.2.15 dated 2021-01-20

Title: Seawater Carbonate Chemistry
Description: Calculates parameters of the seawater carbonate system and assists the design of ocean acidification perturbation experiments.
Author: Jean-Pierre Gattuso [aut, cre, cph], Jean-Marie Epitalon [aut], Heloise Lavigne [aut], James Orr [aut], Bernard Gentili [ctb], Mathilde Hagens [ctb], Andreas Hofmann [ctb], Jens-Daniel Mueller [ctb], Aurélien Proye [ctb], James Rae [ctb], Karline Soetaert [ctb]
Maintainer: Jean-Pierre Gattuso <gattuso@obs-vlfr.fr>

Diff between seacarb versions 3.2.15 dated 2021-01-20 and 3.2.16 dated 2021-02-22

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Package pedSimulate updated to version 0.1.2 with previous version 0.1.1 dated 2021-01-07

Title: Pedigree, Genetic Merit and Phenotype Simulation
Description: Simulate pedigree, genetic merits and phenotypes with (non)random mating followed by (non)random selection with different patterns in males and females. Bijma, P. & Rutten, M. (2002) <https://www.wur.nl/en/Research-Results/Chair-groups/Animal-Sciences/Animal-Breeding-and-Genomics-Group/Research/Software.htm>.
Author: Mohammad Ali Nilforooshan [aut, cre] (<https://orcid.org/0000-0003-0339-5442>)
Maintainer: Mohammad Ali Nilforooshan <m.a.nilforooshan@gmail.com>

Diff between pedSimulate versions 0.1.1 dated 2021-01-07 and 0.1.2 dated 2021-02-22

 DESCRIPTION     |    6 +++---
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 4 files changed, 13 insertions(+), 8 deletions(-)

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Package rangeMapper (with last version 2.0.1) was removed from CRAN

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

2021-02-10 2.0.1
2021-02-05 2.0.0
2019-10-25 0.3-7
2019-03-26 0.3-5
2018-06-30 0.3-4
2018-05-17 0.3-3
2017-01-09 0.3-1
2016-01-03 0.3-0
2014-10-27 0.2-8
2014-02-07 0.2-6
2013-07-18 0.2-4
2012-09-13 0.2-0
2011-04-08 0.0-6
2010-05-16 0.0-4
2010-05-11 0.0-3
2010-03-18 0.0-2
2010-02-11 0.0-1

Permanent link
Package tstools (with last version 0.3.8) was removed from CRAN

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

2018-09-11 0.3.8
2018-07-16 0.3.7
2018-04-24 0.3.6.1
2018-03-13 0.3.6
2018-02-07 0.3.5.1

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Package lavaanPlot (with last version 0.6.0) was removed from CRAN

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

2021-02-03 0.6.0
2018-04-25 0.5.1
2018-01-26 0.3.0
2017-06-10 0.1.0

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Built and running on Debian GNU/Linux using R, littler and blosxom. Styled with Bootstrap.