Tue, 10 Jan 2023

Package numbat updated to version 1.2.1 with previous version 1.1.0 dated 2022-11-29

Title: Haplotype-Aware CNV Analysis from scRNA-Seq
Description: A computational method that infers copy number variations (CNVs) in cancer scRNA-seq data and reconstructs the tumor phylogeny. 'numbat' integrates signals from gene expression, allelic ratio, and population haplotype structures to accurately infer allele-specific CNVs in single cells and reconstruct their lineage relationship. 'numbat' can be used to: 1. detect allele-specific copy number variations from single-cells; 2. differentiate tumor versus normal cells in the tumor microenvironment; 3. infer the clonal architecture and evolutionary history of profiled tumors. 'numbat' does not require tumor/normal-paired DNA or genotype data, but operates solely on the donor scRNA-data data (for example, 10x Cell Ranger output). Additional examples and documentations are available at <https://kharchenkolab.github.io/numbat/>. For details on the method please see Gao et al. Nature Biotechnology (2022) <doi:10.1038/s41587-022-01468-y>.
Author: Teng Gao [cre, aut], Hirak Sarkar [aut], Evan Biederstedt [aut], Peter Kharchenko [aut]
Maintainer: Teng Gao <tgao@g.harvard.edu>

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Package Tplyr updated to version 1.1.0 with previous version 1.0.2 dated 2022-11-07

Title: A Traceability Focused Grammar of Clinical Data Summary
Description: A traceability focused tool created to simplify the data manipulation necessary to create clinical summaries.
Author: Eli Miller [aut] , Mike Stackhouse [aut, cre] , Ashley Tarasiewicz [aut], Nathan Kosiba [ctb] , Sadchla Mascary [ctb], Atorus Research LLC [cph]
Maintainer: Mike Stackhouse <mike.stackhouse@atorusresearch.com>

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Package FEA updated to version 0.0.2 with previous version 0.0.1 dated 2022-03-08

Title: Finite Element Modeling for R
Description: Finite element modeling of beam structures and 2D geometries using constant strain triangles. Applies material properties and boundary conditions (load and constraint) to generate a finite element model. The model produces stress, strain, and nodal displacements; a heat map is available to demonstrate regions where output variables are high or low. Also provides options for creating a triangular mesh of 2D geometries. Package developed with reference to: Bathe, K. J. (1996). Finite Element Procedures.[ISBN 978-0-9790049-5-7] -- Seshu, P. (2012). Textbook of Finite Element Analysis. [ISBN-978-81-203-2315-5] -- Mustapha, K. B. (2018). Finite Element Computations in Mechanics with R. [ISBN 9781315144474].
Author: Henna D. Bhramdat
Maintainer: Henna D. Bhramdat <bhramdath@ufl.edu>

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Package cookies updated to version 0.2.1 with previous version 0.2.0 dated 2022-11-30

Title: Use Browser Cookies with 'shiny'
Description: Browser cookies are name-value pairs that are saved in a user's browser by a website. Cookies allow websites to persist information about the user and their use of the website. Here we provide tools for working with cookies in 'shiny' apps, in part by wrapping the 'js-cookie' JavaScript library <https://github.com/js-cookie/js-cookie>.
Author: Jon Harmon [aut, cre, cph] , Klaus Hartl [cph] , Fagner Brack [cph]
Maintainer: Jon Harmon <jonthegeek@gmail.com>

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Package trackdf updated to version 0.3.0 with previous version 0.2.2 dated 2021-01-13

Title: Data Frame Class for Tracking Data
Description: Data frame class for storing collective movement data (e.g. fish schools, ungulate herds, baboon troops) collected from GPS trackers or computer vision tracking software.
Author: Simon Garnier [aut, cre]
Maintainer: Simon Garnier <garnier@njit.edu>

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Package OenoKPM updated to version 2.2.1 with previous version 2.1.3 dated 2022-11-23

Title: Modeling the Kinetics of Carbon Dioxide Production in Alcoholic Fermentation
Description: Developed to help researchers who need to model the kinetics of carbon dioxide (CO2) production in alcoholic fermentation of wines, beers and other fermented products. The following models are available for modeling the carbon dioxide production curve as a function of time: 5PL, Gompertz and 4PL. This package has different functions, which applied can: perform the modeling of the data obtained in the fermentation and return the coefficients, analyze the model fit and return different statistical metrics, and calculate the kinetic parameters: Maximum production of carbon dioxide; Maximum rate of production of carbon dioxide; Moment in which maximum fermentation rate occurs; Duration of the latency phase for carbon dioxide production; Carbon dioxide produced until maximum fermentation rate occurs. In addition, a function that generates graphs with the observed and predicted data from the models, isolated and combined, is available. Gava, A., Borsato, D., & Ficagna, E. (2020)."Effect [...truncated...]
Author: Angelo Gava [aut, cre]
Maintainer: Angelo Gava <gava.angelogava@gmail.com>

Diff between OenoKPM versions 2.1.3 dated 2022-11-23 and 2.2.1 dated 2023-01-10

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Package inters updated to version 0.2.0 with previous version 0.1 dated 2022-04-22

Title: Flexible Tools for Estimating Interactions
Description: A set of functions to estimate interactions flexibly in the face of possibly many controls. Implements the procedures described in Blackwell and Olson (2022) <doi:10.1017/pan.2021.19>.
Author: Matthew Blackwell [aut, cre] , Olson Michael [aut]
Maintainer: Matthew Blackwell <mblackwell@gov.harvard.edu>

Diff between inters versions 0.1 dated 2022-04-22 and 0.2.0 dated 2023-01-10

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Package MODIS (with last version 1.2.11) was removed from CRAN

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

2023-01-06 1.2.11
2022-10-08 1.2.9

Permanent link
Package tipsae updated to version 0.0.12 with previous version 0.0.9 dated 2022-11-03

Title: Tools for Handling Indices and Proportions in Small Area Estimation
Description: It allows for mapping proportions and indicators defined on the unit interval. It implements Beta-based small area methods comprising the classical Beta regression models, the Flexible Beta model and Zero and/or One Inflated extensions (Janicki 2020 <doi:10.1080/03610926.2019.1570266>). Such methods, developed within a Bayesian framework through Stan <https://mc-stan.org/>, come equipped with a set of diagnostics and complementary tools, visualizing and exporting functions. A Shiny application with a user-friendly interface can be launched to further simplify the process.
Author: Silvia De Nicolò [aut, cre] , Aldo Gardini [aut]
Maintainer: Silvia De Nicolò <silvia.denicolo@unibo.it>

Diff between tipsae versions 0.0.9 dated 2022-11-03 and 0.0.12 dated 2023-01-10

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New package sdmTMB with initial version 0.2.1
Package: sdmTMB
Title: Spatial and Spatiotemporal SPDE-Based GLMMs with 'TMB'
Version: 0.2.1
Description: Implements spatial and spatiotemporal predictive-process GLMMs (Generalized Linear Mixed Effect Models) using 'TMB', 'INLA', and the SPDE (Stochastic Partial Differential Equation) approximation to Gaussian random fields. One common application is for spatially explicit (and optionally dynamic) species distribution models (SDMs). See Anderson et al. (2022) <doi:10.1101/2022.03.24.485545>.
License: GPL-3
Copyright: inst/COPYRIGHTS
URL: https://pbs-assess.github.io/sdmTMB/index.html, https://pbs-assess.github.io/sdmTMB/
BugReports: https://github.com/pbs-assess/sdmTMB/issues
Depends: R (>= 3.5.0)
Imports: assertthat, clisymbols, cli, fishMod, generics, glmmTMB, graphics, lifecycle, Matrix, methods, mgcv, mvtnorm, nlme, rlang, stats, TMB (>= 1.8.0)
Suggests: bayesplot, DHARMa, dplyr, effects (>= 4.0-1), estimability, emmeans (>= 1.4), future.apply, ggeffects, ggforce, ggplot2, INLA, knitr, rgdal, rmarkdown, rstan, sf, splancs, testthat, tibble, tmbstan, visreg
LinkingTo: RcppEigen, TMB
VignetteBuilder: knitr
Additional_repositories: https://inla.r-inla-download.org/R/stable
ByteCompile: true
Config/testthat/parallel: true
Encoding: UTF-8
LazyData: true
SystemRequirements: GNU make, C++11
NeedsCompilation: yes
Packaged: 2023-01-09 19:51:19 UTC; seananderson
Author: Sean C. Anderson [aut, cre] , Eric J. Ward [aut] , Lewis A. K. Barnett [aut] , Philina A. English [aut] , James T. Thorson [ctb, cph] , Joe Watson [ctb] , Julia Indivero [ctb] , Cole C. Monnahan [ctb, cph] , Mollie Brooks [ctb, cph] , Ben Bolker [ctb [...truncated...]
Maintainer: Sean C. Anderson <sean@seananderson.ca>
Repository: CRAN
Date/Publication: 2023-01-10 18:50:02 UTC

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Package rATTAINS updated to version 0.1.4 with previous version 0.1.3 dated 2021-11-03

Title: Access EPA 'ATTAINS' Data
Description: An R interface to United States Environmental Protection Agency (EPA) Assessment, Total Maximum Daily Load (TMDL) Tracking and Implementation System ('ATTAINS') data. 'ATTAINS' is the EPA database used to track information provided by states about water quality assessments conducted under federal Clean Water Act requirements. ATTAINS information and API information is available at <https://www.epa.gov/waterdata/attains>.
Author: Michael Schramm [aut, cre, cph]
Maintainer: Michael Schramm <mpschramm@gmail.com>

Diff between rATTAINS versions 0.1.3 dated 2021-11-03 and 0.1.4 dated 2023-01-10

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New package MRMCaov with initial version 0.3.0
Package: MRMCaov
Title: Multi-Reader Multi-Case Analysis of Variance
Version: 0.3.0
Date: 2023-01-09
Author: Brian J Smith [aut, cre], Stephen L Hillis [aut], Lorenzo L Pesce [ctb]
Maintainer: Brian J Smith <brian-j-smith@uiowa.edu>
Description: Estimation and comparison of the performances of diagnostic tests in multi-reader multi-case studies where true case statuses (or ground truths) are known and one or more readers provide test ratings for multiple cases. Reader performance metrics are provided for area under and expected utility of ROC curves, likelihood ratio of positive or negative tests, and sensitivity and specificity. ROC curves can be estimated empirically or with binormal or binormal likelihood-ratio models. Statistical comparisons of diagnostic tests are based on the ANOVA model of Obuchowski-Rockette and the unified framework of Hillis (2005) <doi:10.1002/sim.2024>. The ANOVA can be conducted with data from a full factorial, nested, or partially paired study design; with random or fixed readers or cases; and covariances estimated with the DeLong method, jackknifing, or an unbiased method. Smith and Hillis (2020) <doi:10.1117/12.2549075>.
Depends: R (>= 3.5.0)
Imports: ggplot2, methods, mvtnorm, progress, tibble, trust
Suggests: knitr
LazyData: true
License: GPL-3
URL: https://github.com/brian-j-smith/MRMCaov
BugReports: https://github.com/brian-j-smith/MRMCaov/issues
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-01-09 14:10:46 UTC; bjsmith
Repository: CRAN
Date/Publication: 2023-01-10 18:33:10 UTC

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New package irtQ with initial version 0.1.0
Package: irtQ
Title: Unidimensional Item Response Theory Modeling
Version: 0.1.0
Description: Fit unidimensional item response theory (IRT) models to a mixture of dichotomous and polytomous data, calibrate online item parameters (i.e., pretest and operational items), estimate examinees' abilities, and examine the IRT model-data fit on item-level in different ways as well as provide useful functions related to IRT analyses such as IRT model-data fit evaluation and differential item functioning analysis. The bring.flexmirt() and write.flexmirt() functions were written by modifying the read.flexmirt() function (Pritikin & Falk (2022) <doi:10.1177/0146621620929431>). The bring.bilog() and bring.parscale() functions were written by modifying the read.bilog() and read.parscale() functions, respectively (Weeks (2010) <doi:10.18637/jss.v035.i12>). The bisection() function was written by modifying the bisection() function (Howard (2017, ISBN:9780367657918)). The code of the inverse test characteristic curve scoring in the est_score() function was written by modifying the [...truncated...]
Depends: R (>= 4.2)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: stats, statmod, utils, tibble, dplyr, purrr, rlang, reshape2, janitor, ggplot2, gridExtra, parallel, Matrix, Rfast, mirt
NeedsCompilation: no
Packaged: 2023-01-09 17:55:57 UTC; hlim
Author: Hwanggyu Lim [aut, cre], Craig S. Wells [ctb], James Howard [ctb], Joshua Pritikin [ctb], Jonathan P Weeks [ctb], Jorge Gonzalez [ctb]
Maintainer: Hwanggyu Lim <hglim83@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-10 18:50:07 UTC

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New package GISSB with initial version 1.1
Package: GISSB
Title: Network Analysis on the Norwegian Road Network
Version: 1.1
Description: A collection of GIS (Geographic Information System) functions in R, created for use in Statistics Norway. The functions are primarily related to network analysis on the Norwegian road network.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Imports: cppRouting, dplyr, here, httr, igraph, leaflet, magrittr, nabor, purrr, RCurl, reshape2, rlang, sf, stringr, tibble, tidygraph, tidyselect
VignetteBuilder: knitr
URL: https://statisticsnorway.github.io/GISSB/
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2023-01-09 13:58:32 UTC; rdn
Author: Sindre Mikael Haugen [aut, cre]
Maintainer: Sindre Mikael Haugen <sindre.haugen@ssb.no>
Repository: CRAN
Date/Publication: 2023-01-10 18:33:14 UTC

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New package dagHMM with initial version 0.1.0
Package: dagHMM
Title: Directed Acyclic Graph HMM with TAN Structured Emissions
Version: 0.1.0
Maintainer: Prajwal Bende <prajwal.bende@gmail.com>
Description: Hidden Markov models (HMMs) are a formal foundation for making probabilistic models of linear sequence. They provide a conceptual toolkit for building complex models just by drawing an intuitive picture. They are at the heart of a diverse range of programs, including genefinding, profile searches, multiple sequence alignment and regulatory site identification. HMMs are the Legos of computational sequence analysis. In graph theory, a tree is an undirected graph in which any two vertices are connected by exactly one path, or equivalently a connected acyclic undirected graph. Tree represents the nodes connected by edges. It is a non-linear data structure. A poly-tree is simply a directed acyclic graph whose underlying undirected graph is a tree. The model proposed in this package is the same as an HMM but where the states are linked via a polytree structure rather than a simple path.
License: GPL (>= 2.0.0)
Encoding: UTF-8
Imports: gtools, future, matrixStats, PRROC, bnlearn, bnclassify
NeedsCompilation: no
Packaged: 2023-01-09 16:19:40 UTC; prajw
Author: Prajwal Bende [aut, cre], Russ Greiner [ths], Pouria Ramazi [ths]
Repository: CRAN
Date/Publication: 2023-01-10 18:40:05 UTC

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New package baizer with initial version 0.1.0
Package: baizer
Title: Useful Functions for Data Processing
Version: 0.1.0
Description: In ancient Chinese mythology, Bai Ze is a divine creature that knows the needs of everything. 'baizer' provides data processing functions frequently used by the author. Hope this package also knows what you want!
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, magrittr, purrr, rlang, stats, stringr, tibble
Suggests: covr, testthat (>= 3.0.0)
Depends: R (>= 2.10)
LazyData: true
URL: https://github.com/william-swl/baizer
BugReports: https://github.com/william-swl/baizer/issues
NeedsCompilation: no
Packaged: 2023-01-09 15:06:03 UTC; william
Author: William Song [aut, cre]
Maintainer: William Song <william_swl@163.com>
Repository: CRAN
Date/Publication: 2023-01-10 18:40:08 UTC

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New package archeoViz with initial version 0.2.2
Package: archeoViz
Title: Visualisation, Exploration, and Web Communication of Archaeological Excavation Data
Version: 0.2.2
Date: 2023-01-09
Author: Sebastien Plutniak [aut, cre]
Maintainer: Sebastien Plutniak <sebastien.plutniak@posteo.net>
Description: An R 'Shiny' application for the visualisation, interactive exploration, and web communication of archaeological excavation data. It includes interactive 3D and 2D visualisations, generation of cross sections and map of the remains, basic spatial analysis methods (convex hull, regression surfaces, 2D kernel density estimation), and excavation timeline visualisation. 'archeoViz' can be used locally or deployed on a server, either with interactive input of data or with a static data set.
License: GPL-3
Repository: CRAN
Encoding: UTF-8
Imports: ggplot2, plotly, mgcv, cxhull, reshape2, svglite, shiny, shinythemes,
Suggests: knitr, covr, rmarkdown, markdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/sebastien-plutniak/archeoviz
BugReports: https://github.com/sebastien-plutniak/archeoviz/issues
NeedsCompilation: no
Packaged: 2023-01-09 16:18:54 UTC; seb
Date/Publication: 2023-01-10 18:40:11 UTC

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Package yamlet updated to version 0.10.8 with previous version 0.10.0 dated 2022-11-23

Title: Versatile Curation of Table Metadata
Description: A YAML-based mechanism for working with table metadata. Supports compact syntax for creating, modifying, viewing, exporting, importing, displaying, and plotting metadata coded as column attributes. The 'yamlet' dialect is valid 'YAML' with defaults and conventions chosen to improve readability. See ?yamlet, ?decorate.data.frame and ?modify.default. See ?read_yamlet ?write_yamlet, ?io_csv, and ?ggplot.decorated.
Author: Tim Bergsma
Maintainer: Tim Bergsma <bergsmat@gmail.com>

Diff between yamlet versions 0.10.0 dated 2022-11-23 and 0.10.8 dated 2023-01-10

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Package orientlib updated to version 0.10.5 with previous version 0.10.4 dated 2020-05-26

Title: Support for Orientation Data
Description: Representations, conversions and display of orientation SO(3) data. See the orientlib help topic for details.
Author: Duncan Murdoch
Maintainer: Duncan Murdoch <murdoch.duncan@gmail.com>

Diff between orientlib versions 0.10.4 dated 2020-05-26 and 0.10.5 dated 2023-01-10

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Package OrdCD updated to version 1.1.0 with previous version 1.0.0 dated 2022-09-27

Title: Ordinal Causal Discovery
Description: Algorithms for ordinal causal discovery. This package aims to enable users to discover causality for observational ordinal categorical data with greedy and exhaustive search. See Ni, Y., & Mallick, B. (2022) <https://proceedings.mlr.press/v180/ni22a/ni22a.pdf> "Ordinal Causal Discovery. Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence, (UAI 2022), PMLR 180:1530–1540".
Author: Yang Ni [aut, cre]
Maintainer: Yang Ni <yni@stat.tamu.edu>

Diff between OrdCD versions 1.0.0 dated 2022-09-27 and 1.1.0 dated 2023-01-10

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Package EthSEQ updated to version 3.0.1 with previous version 3.0.0 dated 2022-09-14

Title: Ethnicity Annotation from Whole-Exome and Targeted Sequencing Data
Description: Reliable and rapid ethnicity annotation from whole exome and targeted sequencing data.
Author: Alessandro Romanel [aut, cre], Davide Dalfovo [aut]
Maintainer: Alessandro Romanel <alessandro.romanel@unitn.it>

Diff between EthSEQ versions 3.0.0 dated 2022-09-14 and 3.0.1 dated 2023-01-10

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Package bigassertr updated to version 0.1.6 with previous version 0.1.5 dated 2021-07-08

Title: Assertion and Message Functions
Description: Enhanced message functions (cat() / message() / warning() / error()) using wrappers around sprintf(). Also, multiple assertion functions (e.g. to check class, length, values, files, arguments, etc.).
Author: Florian Prive [aut, cre]
Maintainer: Florian Prive <florian.prive.21@gmail.com>

Diff between bigassertr versions 0.1.5 dated 2021-07-08 and 0.1.6 dated 2023-01-10

 DESCRIPTION                  |   10 -
 MD5                          |   14 -
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 README.md                    |    9 -
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 8 files changed, 229 insertions(+), 188 deletions(-)

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Package rbibutils updated to version 2.2.12 with previous version 2.2.11 dated 2022-12-08

Title: Read 'Bibtex' Files and Convert Between Bibliography Formats
Description: Read and write 'Bibtex' files. Convert between bibliography formats, including 'Bibtex', 'Biblatex', 'PubMed', 'Endnote', and 'Bibentry'. Includes a port of the 'bibutils' utilities by Chris Putnam <https://sourceforge.net/projects/bibutils/>. Supports all bibliography formats and character encodings implemented in 'bibutils'.
Author: Georgi N. Boshnakov [aut, cre] ), Chris Putman [aut] , Richard Mathar [ctb] , Johannes Wilm [ctb]
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>

Diff between rbibutils versions 2.2.11 dated 2022-12-08 and 2.2.12 dated 2023-01-10

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Package projpred updated to version 2.3.0 with previous version 2.2.2 dated 2022-11-09

Title: Projection Predictive Feature Selection
Description: Performs projection predictive feature selection for generalized linear and additive models as well as for generalized linear and additive multilevel models (see Piironen, Paasiniemi and Vehtari, 2020, <doi:10.1214/20-EJS1711>; Catalina, Bürkner and Vehtari, 2022, <https://proceedings.mlr.press/v151/catalina22a.html>). The package is compatible with the 'rstanarm' and 'brms' packages, but other reference models can also be used. See the documentation as well as the package vignette for more information and examples.
Author: Juho Piironen [aut], Markus Paasiniemi [aut], Alejandro Catalina [aut], Frank Weber [cre, aut], Aki Vehtari [aut], Jonah Gabry [ctb], Marco Colombo [ctb], Paul-Christian Buerkner [ctb], Hamada S. Badr [ctb], Brian Sullivan [ctb], Soelvi Roegnvaldsson [c [...truncated...]
Maintainer: Frank Weber <fweber144@protonmail.com>

Diff between projpred versions 2.2.2 dated 2022-11-09 and 2.3.0 dated 2023-01-10

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Package RcppTOML updated to version 0.2.0 with previous version 0.1.7 dated 2020-12-02

Title: 'Rcpp' Bindings to Parser for "Tom's Obvious Markup Language"
Description: The configuration format defined by 'TOML' (which expands to "Tom's Obvious Markup Language") specifies an excellent format (described at <https://toml.io/en/>) suitable for both human editing as well as the common uses of a machine-readable format. This package uses 'Rcpp' to connect the 'cpptoml' parser written by Chase Geigle (in C++11) to R.
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppTOML versions 0.1.7 dated 2020-12-02 and 0.2.0 dated 2023-01-10

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Package purrr updated to version 1.0.1 with previous version 1.0.0 dated 2022-12-20

Title: Functional Programming Tools
Description: A complete and consistent functional programming toolkit for R.
Author: Hadley Wickham [aut, cre] , Lionel Henry [aut], RStudio [cph, fnd]
Maintainer: Hadley Wickham <hadley@rstudio.com>

Diff between purrr versions 1.0.0 dated 2022-12-20 and 1.0.1 dated 2023-01-10

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Package arrApply updated to version 2.2 with previous version 2.1 dated 2019-03-08

Title: Apply a Function to a Margin of an Array
Description: High performance variant of apply() for a fixed set of functions. Considerable speedup of this implementation is a trade-off for universality: user defined functions cannot be used with this package. However, about 20 most currently employed functions are available for usage. They can be divided in three types: reducing functions (like mean(), sum() etc., giving a scalar when applied to a vector), mapping function (like normalise(), cumsum() etc., giving a vector of the same length as the input vector) and finally, vector reducing function (like diff() which produces result vector of a length different from the length of input vector). Optional or mandatory additional arguments required by some functions (e.g. norm type for norm()) can be passed as named arguments in '...'.
Author: Serguei Sokol
Maintainer: Serguei Sokol <sokol@insa-toulouse.fr>

Diff between arrApply versions 2.1 dated 2019-03-08 and 2.2 dated 2023-01-10

 DESCRIPTION                    |   16 +--
 MD5                            |   14 +-
 NEWS                           |   11 ++
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 man/arrApply.Rd                |   84 +++++++++++------
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 8 files changed, 291 insertions(+), 127 deletions(-)

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Package AgroReg updated to version 1.2.8 with previous version 1.2.7 dated 2022-10-19

Title: Regression Analysis Linear and Nonlinear for Agriculture
Description: Linear and nonlinear regression analysis common in agricultural science articles (Archontoulis & Miguez (2015). <doi:10.2134/agronj2012.0506>). The package includes polynomial, exponential, gaussian, logistic, logarithmic, segmented, non-parametric models, among others. The functions return the model coefficients and their respective p values, coefficient of determination, root mean square error, AIC, BIC, as well as graphs with the equations automatically.
Author: Gabriel Danilo Shimizu [aut, cre] , Leandro Simoes Azeredo Goncalves [aut, ctb]
Maintainer: Gabriel Danilo Shimizu <shimizu@uel.br>

Diff between AgroReg versions 1.2.7 dated 2022-10-19 and 1.2.8 dated 2023-01-10

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 build/partial.rdb             |binary
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 56 files changed, 197 insertions(+), 168 deletions(-)

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New package zoomr with initial version 0.1.1
Package: zoomr
Title: Connect to Your 'Zoom' Data
Version: 0.1.1
Description: Facilitates making a connection to the 'Zoom' API and executing various queries. You can use it to get data on 'Zoom' webinars and 'Zoom' meetings. The 'Zoom' documentation is available at <https://marketplace.zoom.us/docs/api-reference/zoom-api/>. This package is not supported by 'Zoom' (owner of the software).
URL: https://github.com/chrisumphlett/zoomr
BugReports: https://github.com/chrisumphlett/zoomr/issues
License: CC0
Encoding: UTF-8
Imports: dplyr (>= 1.0.0), magrittr (>= 1.5), jsonlite (>= 1.6.1), httr (>= 1.4.1), glue (>= 1.4.2), rlang (>= 1.0.4), tidyr (>= 1.1.4), janitor (>= 2.1.0), tidyselect (>= 1.1.1), purrr (>= 0.3.4)
NeedsCompilation: no
Packaged: 2023-01-07 17:59:51 UTC; c.umphlett
Author: Chris Umphlett [aut, cre]
Maintainer: Chris Umphlett <christopher.umphlett@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-10 13:20:02 UTC

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New package SDGdetector with initial version 2.7
Package: SDGdetector
Title: Detecting Sustainable Development Goals (SDGs) in Text
Version: 2.7
Description: A tool for identifying 17 Sustainable Development Goals (SDGs) and associated 169 targets in text, as described in Yingjie Li (2022) <https://github.com/Yingjie4Science/SDGdetector/blob/main/paper/paper.pdf> . It uses natural language processing to transform unstructured text into normalized and structured data suitable for analysis and visualization. It thus enables a unique way to monitor individuals' and organizations' commitments and efforts towards advancing SDGs and targets.
Imports: dplyr, magrittr, stringr, ggplot2, tidyr, grDevices, rnaturalearth, utils
Depends: R (>= 3.5.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2023-01-07 08:45:11 UTC; 268222h
Author: Yingjie Li [aut, cre], Yongze Song [aut] , Meng Cai [aut], Veronica Frans [aut]
Maintainer: Yingjie Li <yingjieli.edu@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-10 13:10:02 UTC

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New package scROSHI with initial version 1.0.0.0
Package: scROSHI
Title: Robust Supervised Hierarchical Identification of Single Cells
Version: 1.0.0.0
Maintainer: Lars Bosshard <bosshard@nexus.ethz.ch>
Description: Identifying cell types based on expression profiles is a pillar of single cell analysis. 'scROSHI' identifies cell types based on expression profiles of single cell analysis by utilizing previously obtained cell type specific gene sets. It takes into account the hierarchical nature of cell type relationship and does not require training or annotated data. A detailed description of the method can be found at: Prummer, Bertolini, Bosshard, Barkmann, Yates, Boeva, The Tumor Profiler Consortium, Stekhoven, and Singer (2022) <doi:10.1101/2022.04.05.487176>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: limma, S4Vectors, SingleCellExperiment, stats, SummarizedExperiment, utils, uwot
Depends: R (>= 3.60)
LazyDataCompression: xz
NeedsCompilation: no
Packaged: 2023-01-09 09:38:17 UTC; bolars
Author: Lars Bosshard [aut, cre] , Michael Prummer [aut]
Repository: CRAN
Date/Publication: 2023-01-10 13:50:02 UTC

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New package ROptimus with initial version 3.0.0
Package: ROptimus
Title: A Parallel General-Purpose Adaptive Optimisation Engine
Version: 3.0.0
Description: A general-purpose optimisation engine that supports i) Monte Carlo optimisation with Metropolis criterion [Metropolis et al. (1953) <doi:10.1063/1.1699114>, Hastings (1970) <doi:10.1093/biomet/57.1.97>] and Acceptance Ratio Simulated Annealing [Kirkpatrick et al. (1983) <doi:10.1126/science.220.4598.671>, Černý (1985) <doi:10.1007/BF00940812>] on multiple cores, and ii) Acceptance Ratio Replica Exchange Monte Carlo Optimisation. In each case, the system pseudo-temperature is dynamically adjusted such that the observed acceptance ratio is kept near to the desired (fixed or changing) acceptance ratio.
License: GPL (>= 3)
Encoding: UTF-8
Imports: doParallel (>= 1.0.11), foreach (>= 1.4.4), iterators (>= 1.0.9), parallel (>= 3.4.2)
Depends: R (>= 3.1.0)
LazyData: true
URL: https://github.com/SahakyanLab/ROptimus
NeedsCompilation: no
Packaged: 2022-12-30 17:17:25 UTC; ltamon
Author: Nicholas Andre G. Johnson [aut], Liezel Tamon [aut], Xin Liu [aut], Aleksandr B. Sahakyan [aut, cre]
Maintainer: Aleksandr B. Sahakyan <sahakyanlab@cantab.net>
Repository: CRAN
Date/Publication: 2023-01-10 13:20:05 UTC

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New package nutrition with initial version 1.0.0
Package: nutrition
Title: Useful Functions for People on a Diet
Version: 1.0.0
Description: Contains a collection of functions for performing different kinds of calculation that are of interest to someone following a diet plan. Calculators for the Basal Metabolic Rate are based on Mifflin et al. (1990) <doi:10.1093/ajcn/51.2.241> and McArdle, W. D., Katch, F. I., & Katch, V. L. (2010, ISBN:9780812109917).
License: GPL (>= 3)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-01-09 12:49:02 UTC; waldir
Author: Waldir Leoncio [aut, cre]
Maintainer: Waldir Leoncio <w.l.netto@medisin.uio.no>
Repository: CRAN
Date/Publication: 2023-01-10 13:50:06 UTC

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New package KFPLS with initial version 1.0
Package: KFPLS
Title: Kernel Functional Partial Least Squares
Version: 1.0
Description: Implementation for kernel functional partial least squares (KFPLS) method. KFPLS method is developed for functional nonlinear models, and the method does not require strict constraints for the nonlinear structures. The crucial function of this package is KFPLS().
License: GPL (>= 3)
Encoding: UTF-8
Imports: fda, splines, stats
NeedsCompilation: no
Packaged: 2023-01-07 14:52:14 UTC; 11013
Author: Rou Zhong [aut, cre], Jingxiao Zhang [aut]
Maintainer: Rou Zhong <zhong_rou@163.com>
Repository: CRAN
Date/Publication: 2023-01-10 13:03:12 UTC

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New package FuzzyDBScan with initial version 0.0.3
Package: FuzzyDBScan
Title: Run and Predict a Fuzzy DBScan
Version: 0.0.3
Description: An interface for training Fuzzy DBScan with both Fuzzy Core and Fuzzy Border. Therefore, the package provides a method to initialize and run the algorithm and a function to predict new data w.t.h. of 'R6'. The package is build upon the paper "Fuzzy Extensions of the DBScan algorithm" from Ienco and Bordogna (2018) <doi:10.1007/s00500-016-2435-0>. A predict function assigns new data according to the same criteria as the algorithm itself. However, the prediction function freezes the algorithm to preserve the trained cluster structure and treats each new prediction object individually.
License: LGPL-3
Depends: R (>= 4.0.0)
Imports: ggplot2, R6, data.table, dbscan, checkmate
Suggests: testthat (>= 3.0.0), rmarkdown, factoextra, spelling
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2023-01-09 09:51:15 UTC; henri_funk
Author: Henri Funk [aut, cre]
Maintainer: Henri Funk <Henri.Funk@stat.uni-muenchen.de>
Repository: CRAN
Date/Publication: 2023-01-10 13:53:18 UTC

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Package segmetric updated to version 0.3.0 with previous version 0.2.0 dated 2022-03-30

Title: Metrics for Assessing Segmentation Accuracy for Geospatial Data
Description: A system that computes metrics to assess the segmentation accuracy of geospatial data. These metrics calculate the discrepancy between segmented and reference objects, and indicate the segmentation accuracy. For more details on choosing evaluation metrics, we suggest seeing Costa et al. (2018) <doi:10.1016/j.rse.2017.11.024> and Jozdani et al. (2020) <doi:10.1016/j.isprsjprs.2020.01.002>.
Author: Rolf Simoes [aut] , Alber Sanchez [aut] , Michelle Picoli [aut, cre]
Maintainer: Michelle Picoli <mipicoli@gmail.com>

Diff between segmetric versions 0.2.0 dated 2022-03-30 and 0.3.0 dated 2023-01-10

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2017-09-28 1.2.0
2016-10-03 1.1.9
2015-12-21 1.1.8
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2015-04-22 1.1.6
2014-12-01 1.1.5

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Package robflreg updated to version 1.1 with previous version 1.0 dated 2022-05-12

Title: Robust Functional Linear Regression
Description: Functions for implementing robust methods for functional linear regression. In the functional linear regression, we consider scalar-on-function linear regression and function-on-function linear regression. More details, see Beyaztas, U., and Shang, H. L. (2021) <arXiv:2111.01238> and Beyaztas, U., and Shang, H. L. (2022) <arXiv:2203.05065>.
Author: Ufuk Beyaztas [aut, cre, cph] , Han Lin Shang [aut]
Maintainer: Ufuk Beyaztas <ufukbeyaztas@gmail.com>

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2017-09-25 1.4
2017-01-16 1.3
2014-12-09 1.2.4
2014-09-04 1.2.3
2014-01-08 1.2.2
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Package buffeRs (with last version 0.31) was removed from CRAN

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Package svglite updated to version 2.1.1 with previous version 2.1.0 dated 2022-02-03

Title: An 'SVG' Graphics Device
Description: A graphics device for R that produces 'Scalable Vector Graphics'. 'svglite' is a fork of the older 'RSvgDevice' package.
Author: Hadley Wickham [aut], Lionel Henry [aut], Thomas Lin Pedersen [cre, aut] , T Jake Luciani [aut], Matthieu Decorde [aut], Vaudor Lise [aut], Tony Plate [ctb] , David Gohel [ctb] , Yixuan Qiu [ctb] , Hakon Malmedal [ctb] , RStudio [cph, fnd]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>

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Package scdhlm updated to version 0.7.1 with previous version 0.7.0 dated 2022-11-07

Title: Estimating Hierarchical Linear Models for Single-Case Designs
Description: Provides a set of tools for estimating hierarchical linear models and effect sizes based on data from single-case designs. Functions are provided for calculating standardized mean difference effect sizes that are directly comparable to standardized mean differences estimated from between-subjects randomized experiments, as described in Hedges, Pustejovsky, and Shadish (2012) <DOI:10.1002/jrsm.1052>; Hedges, Pustejovsky, and Shadish (2013) <DOI:10.1002/jrsm.1086>; and Pustejovsky, Hedges, and Shadish (2014) <DOI:10.3102/1076998614547577>. Includes an interactive web interface.
Author: James Pustejovsky [aut, cre], Man Chen [aut], Bethany Hamilton [aut]
Maintainer: James Pustejovsky <jepusto@gmail.com>

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Package sarsop updated to version 0.6.14 with previous version 0.6.13 dated 2022-10-19

Title: Approximate POMDP Planning Software
Description: A toolkit for Partially Observed Markov Decision Processes (POMDP). Provides bindings to C++ libraries implementing the algorithm SARSOP (Successive Approximations of the Reachable Space under Optimal Policies) and described in Kurniawati et al (2008), <doi:10.15607/RSS.2008.IV.009>. This package also provides a high-level interface for generating, solving and simulating POMDP problems and their solutions.
Author: Carl Boettiger [cre, aut, cph] , Jeroen Ooms [aut], Milad Memarzadeh [aut], Hanna Kurniawati [ctb, cph], David Hsu [ctb, cph], Hanna Kurniawati [ctb, cph], Wee Sun Lee [ctb, cph], Yanzhu Du [ctb], Xan Huang [ctb], Trey Smith [ctb, cph], Tony Cassandr [...truncated...]
Maintainer: Carl Boettiger <cboettig@gmail.com>

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Package s20x updated to version 3.1-34 with previous version 3.1-33 dated 2022-12-23

Title: Functions for University of Auckland Course STATS 201/208 Data Analysis
Description: A set of functions used in teaching STATS 201/208 Data Analysis at the University of Auckland. The functions are designed to make parts of R more accessible to a large undergraduate population who are mostly not statistics majors.
Author: Brant Deppa [aut] , James Curran [aut, cre] , Rachel Fewster [ctb], Russell Millar [ctb], Ben Stevenson [ctb], Andrew Balemi [ctb], Chris Wild [ctb], Sophie Jones [ctb], Dineika Chandra [ctr], Brendan McArdle [ctr]
Maintainer: James Curran <j.curran@auckland.ac.nz>

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Package ridgetorus updated to version 1.0.1 with previous version 1.0.0 dated 2022-12-23

Title: PCA on the Torus via Density Ridges
Description: Implementation of a Principal Component Analysis (PCA) in the torus via density ridge estimation. The main function, ridge_pca(), obtains the relevant density ridge for bivariate sine von Mises and bivariate wrapped Cauchy distribution models and provides the associated scores and variance decomposition. Auxiliary functions for evaluating, fitting, and sampling these models are also provided. The package provides replicability to García-Portugués and Prieto-Tirado (2022) <arXiv:2212.10856>.
Author: Eduardo Garcia-Portugues [aut, cre] , Arturo Prieto-Tirado [aut]
Maintainer: Eduardo Garcia-Portugues <edgarcia@est-econ.uc3m.es>

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Package fixest updated to version 0.11.1 with previous version 0.11.0 dated 2022-10-19

Title: Fast Fixed-Effects Estimations
Description: Fast and user-friendly estimation of econometric models with multiple fixed-effects. Includes ordinary least squares (OLS), generalized linear models (GLM) and the negative binomial. The core of the package is based on optimized parallel C++ code, scaling especially well for large data sets. The method to obtain the fixed-effects coefficients is based on Berge (2018) <https://wwwen.uni.lu/content/download/110162/1299525/file/2018_13>. Further provides tools to export and view the results of several estimations with intuitive design to cluster the standard-errors.
Author: Laurent Berge [aut, cre], Sebastian Krantz [ctb], Grant McDermott [ctb]
Maintainer: Laurent Berge <laurent.berge@u-bordeaux.fr>

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Package eat updated to version 0.1.4 with previous version 0.1.3 dated 2022-08-15

Title: Efficiency Analysis Trees
Description: Functions are provided to determine production frontiers and technical efficiency measures through non-parametric techniques based upon regression trees. The package includes code for estimating radial input, output, directional and additive measures, plotting graphical representations of the scores and the production frontiers by means of trees, and determining rankings of importance of input variables in the analysis. Additionally, an adaptation of Random Forest by a set of individual Efficiency Analysis Trees for estimating technical efficiency is also included. More details in: <doi:10.1016/j.eswa.2020.113783>.
Author: Miriam Esteve [cre, aut] , Victor Espana [aut] , Juan Aparicio [aut] , Xavier Barber [aut]
Maintainer: Miriam Esteve <mestevecampello@gmail.com>

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Package coxmeg updated to version 1.1.2 with previous version 1.1.1 dated 2023-01-09

Title: Cox Mixed-Effects Models for Genome-Wide Association Studies
Description: Fast algorithms for fitting a Cox mixed-effects model for e.g., genome-wide association studies. See Liang He and Alexander Kulminski (2020) <doi: 10.1534/genetics.119.302940>.
Author: Liang He, Stephanie Gogarten
Maintainer: Liang He <lianghe@health.sdu.dk>

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2021-07-20 1.4.4
2021-06-12 1.4.3
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Package wrangle updated to version 0.5.10 with previous version 0.5.8 dated 2023-01-06

Title: A Systematic Data Wrangling Idiom
Description: Supports systematic scrutiny, modification, and integration of data. The function status() counts rows that have missing values in grouping columns (returned by na() ), have non-unique combinations of grouping columns (returned by dup() ), and that are not locally sorted (returned by unsorted() ). Functions enumerate() and itemize() give sorted unique combinations of columns, with or without occurrence counts, respectively. Function ignore() drops columns in x that are present in y, and informative() drops columns in x that are entirely NA; constant() returns values that are constant, given a key. Data that have defined unique combinations of grouping values behave more predictably during merge operations.
Author: Tim Bergsma
Maintainer: Tim Bergsma <bergsmat@gmail.com>

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Package tidytags updated to version 1.1.1 with previous version 1.1.0 dated 2022-11-18

Title: Importing and Analyzing 'Twitter' Data Collected with 'Twitter Archiving Google Sheets'
Description: The 'tidytags' package coordinates the simplicity of collecting tweets over time with a 'Twitter Archiving Google Sheet' (TAGS; <https://tags.hawksey.info/>) and the utility of the 'rtweet' package (<https://docs.ropensci.org/rtweet/>) for processing and preparing additional 'Twitter' metadata. 'tidytags' also introduces functions developed to facilitate systematic yet flexible analyses of data from 'Twitter'.
Author: K. Bret Staudt Willet [aut, cre] , Joshua M. Rosenberg [aut] , Lluis Revilla Sancho [rev] , Marion Louveaux [rev]
Maintainer: K. Bret Staudt Willet <bret.staudtwillet@fsu.edu>

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Package radiant.design updated to version 1.5.0 with previous version 1.4.4 dated 2022-07-23

Title: Design Menu for Radiant: Business Analytics using R and Shiny
Description: The Radiant Design menu includes interfaces for design of experiments, sampling, and sample size calculation. The application extends the functionality in 'radiant.data'.
Author: Vincent Nijs [aut, cre]
Maintainer: Vincent Nijs <radiant@rady.ucsd.edu>

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Package radiant.basics updated to version 1.5.0 with previous version 1.4.4 dated 2022-07-23

Title: Basics Menu for Radiant: Business Analytics using R and Shiny
Description: The Radiant Basics menu includes interfaces for probability calculation, central limit theorem simulation, comparing means and proportions, goodness-of-fit testing, cross-tabs, and correlation. The application extends the functionality in 'radiant.data'.
Author: Vincent Nijs [aut, cre]
Maintainer: Vincent Nijs <radiant@rady.ucsd.edu>

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Package PLFD updated to version 0.2.0 with previous version 0.1.1 dated 2021-09-17

Title: Portmanteau Local Feature Discrimination for Matrix-Variate Data
Description: The portmanteau local feature discriminant approach first identifies the local discriminant features and their differential structures, then constructs the discriminant rule by pooling the identified local features together. This method is applicable to high-dimensional matrix-variate data. See the paper by Xu, Luo and Chen (2021, <doi:10.1007/s13171-021-00255-2>).
Author: Zengchao Xu [aut, cre], Shan Luo [aut], Zehua Chen [aut]
Maintainer: Zengchao Xu <zengc.xu@aliyun.com>

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Package crestr (with last version 1.2.1) was removed from CRAN

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

2023-01-06 1.2.1
2022-08-30 1.2.0
2022-07-01 1.1.0
2022-04-25 1.0.2
2021-12-03 1.0.0

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Package datagovindia (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:

2021-09-27 1.0.5

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Package RBMRB (with last version 2.1.7) was removed from CRAN

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

2021-07-11 2.1.7
2020-10-26 2.1.4
2018-01-30 2.1.2
2017-09-22 2.1.0
2017-03-03 2.0.4
2017-01-05 2.0.2
2016-11-18 2.0

Permanent link
Package progressr updated to version 0.13.0 with previous version 0.12.0 dated 2022-12-13

Title: An Inclusive, Unifying API for Progress Updates
Description: A minimal, unifying API for scripts and packages to report progress updates from anywhere including when using parallel processing. The package is designed such that the developer can to focus on what progress should be reported on without having to worry about how to present it. The end user has full control of how, where, and when to render these progress updates, e.g. in the terminal using utils::txtProgressBar(), cli::cli_progress_bar(), in a graphical user interface using utils::winProgressBar(), tcltk::tkProgressBar() or shiny::withProgress(), via the speakers using beepr::beep(), or on a file system via the size of a file. Anyone can add additional, customized, progression handlers. The 'progressr' package uses R's condition framework for signaling progress updated. Because of this, progress can be reported from almost anywhere in R, e.g. from classical for and while loops, from map-reduce API:s like the lapply() family of functions, 'purrr', 'plyr', and 'foreach'. It will als [...truncated...]
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

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Package DeclareDesign updated to version 1.0.2 with previous version 1.0.0 dated 2022-06-20

Title: Declare and Diagnose Research Designs
Description: Researchers can characterize and learn about the properties of research designs before implementation using `DeclareDesign`. Ex ante declaration and diagnosis of designs can help researchers clarify the strengths and limitations of their designs and to improve their properties, and can help readers evaluate a research strategy prior to implementation and without access to results. It can also make it easier for designs to be shared, replicated, and critiqued.
Author: Graeme Blair [aut, cre] , Jasper Cooper [aut] , Alexander Coppock [aut] , Macartan Humphreys [aut] , Neal Fultz [aut]
Maintainer: Graeme Blair <graeme.blair@gmail.com>

Diff between DeclareDesign versions 1.0.0 dated 2022-06-20 and 1.0.2 dated 2023-01-10

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Package CGNM updated to version 0.6.2 with previous version 0.5.1 dated 2022-11-01

Title: Cluster Gauss-Newton Method
Description: Find multiple solutions of a nonlinear least squares problem. Cluster Gauss-Newton method does not assume uniqueness of the solution of the nonlinear least squares problem and compute approximate multiple minimizers. Please cite the following paper when this software is used in your research: Aoki et al. (2020) <doi:10.1007/s11081-020-09571-2>. Cluster Gauss–Newton method. Optimization and Engineering, 1-31.
Author: Yasunori Aoki
Maintainer: Yasunori Aoki <yaoki@uwaterloo.ca>

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