Wed, 28 Apr 2021

Package yamlet updated to version 0.7.5 with previous version 0.7.2 dated 2021-03-07

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>

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Package semtree updated to version 0.9.15 with previous version 0.9.14 dated 2020-01-07

Title: Recursive Partitioning for Structural Equation Models
Description: SEM Trees and SEM Forests -- an extension of model-based decision trees and forests to Structural Equation Models (SEM). SEM trees hierarchically split empirical data into homogeneous groups sharing similar data patterns with respect to a SEM by recursively selecting optimal predictors of these differences. SEM forests are an extension of SEM trees. They are ensembles of SEM trees each built on a random sample of the original data. By aggregating over a forest, we obtain measures of variable importance that are more robust than measures from single trees.
Author: Andreas M. Brandmaier [aut, cre], John J. Prindle [aut], Manuel Arnold [aut]
Maintainer: Andreas M. Brandmaier <andy@brandmaier.de>

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Package qtl2fst updated to version 0.24 with previous version 0.22-7 dated 2020-07-30

Title: Database Storage of Genotype Probabilities for QTL Mapping
Description: Uses the 'fst' package to store genotype probabilities on disk for the 'qtl2' package. These genotype probabilities are a central data object for mapping quantitative trait loci (QTL), but they can be quite large. The facilities in this package enable the genotype probabilities to be stored on disk, leading to reduced memory usage with only a modest increase in computation time.
Author: Karl W Broman [aut, cre] (<https://orcid.org/0000-0002-4914-6671>), Brian S Yandell [aut] (<https://orcid.org/0000-0002-8774-9377>), Petr Simecek [aut] (<https://orcid.org/0000-0002-2922-7183>)
Maintainer: Karl W Broman <broman@wisc.edu>

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Package dipm updated to version 1.2 with previous version 1.1 dated 2021-03-06

Title: Depth Importance in Precision Medicine (DIPM) Method
Description: An implementation of the Depth Importance in Precision Medicine (DIPM) method in Chen and Zhang (2020) <doi:10.1093/biostatistics/kxaa021> and Chen and Zhang (2020) <doi:10.1007/978-3-030-46161-4_16>. The DIPM method is a classification tree that searches for subgroups with especially poor or strong performance in a given treatment group.
Author: Cai Li [aut, cre], Victoria Chen [aut], Heping Zhang [aut]
Maintainer: Cai Li <cai.li@yale.edu>

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Package cccrm updated to version 2.0.3 with previous version 2.0.2 dated 2021-04-16

Title: Concordance Correlation Coefficient for Repeated (and Non-Repeated) Measures
Description: Estimates the Concordance Correlation Coefficient to assess agreement. The scenarios considered are non-repeated measures, non-longitudinal repeated measures (replicates) and longitudinal repeated measures. It also includes the estimation of the one-way intraclass correlation coefficient also known as reliability index. The estimation approaches implemented are variance components and U-statistics approaches. Description of methods can be found in Fleiss (1986) <doi:10.1002/9781118032923.ch1> and Carrasco et al. (2013) <doi:10.1016/j.cmpb.2012.09.002>.
Author: Josep Lluis Carrasco <jlcarrasco@ub.edu>, Josep Puig Martinez <j.puig04@gmail.com>
Maintainer: Josep Lluis Carrasco <jlcarrasco@ub.edu>

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Package rdhs updated to version 0.7.2 with previous version 0.7.1 dated 2020-12-01

Title: API Client and Dataset Management for the Demographic and Health Survey (DHS) Data
Description: Provides a client for (1) querying the DHS API for survey indicators and metadata (<https://api.dhsprogram.com/#/index.html>), (2) identifying surveys and datasets for analysis, (3) downloading survey datasets from the DHS website, (4) loading datasets and associate metadata into R, and (5) extracting variables and combining datasets for pooled analysis.
Author: OJ Watson [aut, cre] (<https://orcid.org/0000-0003-2374-0741>), Jeff Eaton [aut] (<https://orcid.org/0000-0001-7728-728X>), Lucy D'Agostino McGowan [rev] (<https://orcid.org/0000-0001-7297-9359>), Duncan Gillespie [rev]
Maintainer: OJ Watson <oj.watson@hotmail.co.uk>

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Package Signac updated to version 1.2.0 with previous version 1.1.1 dated 2021-02-03

Title: Analysis of Single-Cell Chromatin Data
Description: A framework for the analysis and exploration of single-cell chromatin data. The 'Signac' package contains functions for quantifying single-cell chromatin data, computing per-cell quality control metrics, dimension reduction and normalization, visualization, and DNA sequence motif analysis. Reference: Stuart et al. (2020) <doi:10.1101/2020.11.09.373613>.
Author: Tim Stuart [aut, cre] (<https://orcid.org/0000-0002-3044-0897>), Avi Srivastava [aut] (<https://orcid.org/0000-0001-9798-2079>), Paul Hoffman [ctb] (<https://orcid.org/0000-0002-7693-8957>), Rahul Satija [ctb] (<https://orcid.org/0000-0001-9448-8833>)
Maintainer: Tim Stuart <tstuart@nygenome.org>

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Package RALSA updated to version 1.0.0 with previous version 0.90.3 dated 2021-03-15

Title: R Analyzer for Large-Scale Assessments
Description: Prepare and analyze data from large-scale assessments and surveys with complex sampling and assessment design (see 'Rutkowski', 2010 <doi:10.3102/0013189X10363170>). Such studies are, for example, international assessments like 'TIMSS', 'PIRLS' and 'PISA'. A graphical interface is available for the non-technical user.The package includes functions to covert the original data from 'SPSS' into 'R' data sets keeping the user-defined missing values, merge data from different respondents and/or countries, generate variable dictionaries, modify data, produce descriptive statistics (percentages, means, percentiles, benchmarks) and multivariate statistics (correlations, linear regression, binary logistic regression). The number of supported studies and analysis types will increase in future.
Author: Plamen V. Mirazchiyski [aut, cre], INERI [aut]
Maintainer: Plamen V. Mirazchiyski <plamen.mirazchiyski@ineri.org>

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Package cbinom updated to version 1.6 with previous version 1.5 dated 2020-11-22

Title: Continuous Analog of a Binomial Distribution
Description: Implementation of the d/p/q/r family of functions for a continuous analog to the standard discrete binomial with continuous size parameter and continuous support with x in [0, size + 1], following Ilienko (2013) <arXiv:1303.5990>.
Author: Dan Dalthorp
Maintainer: Dan Dalthorp <ddalthorp@protonmail.com>

Diff between cbinom versions 1.5 dated 2020-11-22 and 1.6 dated 2021-04-28

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More information about cbinom at CRAN
Permanent link

Package rayshader updated to version 0.24.10 with previous version 0.24.5 dated 2021-04-11

Title: Create Maps and Visualize Data in 2D and 3D
Description: Uses a combination of raytracing and multiple hill shading methods to produce 2D and 3D data visualizations and maps. Includes water detection and layering functions, programmable color palette generation, several built-in textures for hill shading, 2D and 3D plotting options, a built-in path tracer, 'Wavefront' OBJ file export, and the ability to save 3D visualizations to a 3D printable format.
Author: Tyler Morgan-Wall
Maintainer: Tyler Morgan-Wall <tylermw@gmail.com>

Diff between rayshader versions 0.24.5 dated 2021-04-11 and 0.24.10 dated 2021-04-28

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Package peacesciencer updated to version 0.3.0 with previous version 0.2.0 dated 2021-03-05

Title: Various Tools and Data for Quantitative Peace Science
Description: These are useful tools and data sets for the study of quantitative peace science. The goal for this package is to include tools and data sets for doing original research that mimics well what a user would have to previously get from a software package that may not be well-sourced or well-supported. Those software bundles were useful the extent to which they encourage replications of long-standing analyses by starting the data-generating process from scratch. However, a lot of the functionality can be done relatively quickly and more transparently in the R programming language.
Author: Steve Miller [aut, cre] (<https://orcid.org/0000-0003-4072-6263>)
Maintainer: Steve Miller <steven.v.miller@gmail.com>

Diff between peacesciencer versions 0.2.0 dated 2021-03-05 and 0.3.0 dated 2021-04-28

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Permanent link

Package keyring updated to version 1.2.0 with previous version 1.1.0 dated 2018-07-16

Title: Access the System Credential Store from R
Description: Platform independent 'API' to access the operating system's credential store. Currently supports: 'Keychain' on 'macOS', Credential Store on 'Windows', the Secret Service 'API' on 'Linux', and a simple, platform independent store implemented with environment variables. Additional storage back-ends can be added easily.
Author: Gábor Csárdi [aut, cre], Alec Wong [ctb], RStudio [cph]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

Diff between keyring versions 1.1.0 dated 2018-07-16 and 1.2.0 dated 2021-04-28

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Package joyn updated to version 0.1.3 with previous version 0.0.1 dated 2021-04-02

Title: Tool for Diagnosis of Tables Joins and Complementary Join Features
Description: Tool for diagnosing table joins. It combines the speed `data.table`, the flexibility of `dplyr`, and the diagnosis and features of the `merge` command in `Stata`.
Author: R.Andres Castaneda [aut, cre]
Maintainer: R.Andres Castaneda <acastanedaa@worldbank.org>

Diff between joyn versions 0.0.1 dated 2021-04-02 and 0.1.3 dated 2021-04-28

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Package HardyWeinberg updated to version 1.7.2 with previous version 1.7.1 dated 2021-01-04

Title: Statistical Tests and Graphics for Hardy-Weinberg Equilibrium
Description: Contains tools for exploring Hardy-Weinberg equilibrium (Hardy, 1908; Weinberg, 1908) <doi:10.1126/science.28.706.49> for bi and multi-allelic genetic marker data. All classical tests (chi-square, exact, likelihood-ratio and permutation tests) with bi-allelic variants are included in the package, as well as functions for power computation and for the simulation of marker data under equilibrium and disequilibrium. Routines for dealing with markers on the X-chromosome are included (Graffelman & Weir, 2016) <doi: 10.1038/hdy.2016.20>, including Bayesian procedures. Some exact and permutation procedures also work with multi-allelic variants. Special test procedures that jointly address Hardy-Weinberg equilibrium and equality of allele frequencies in both sexes are supplied, for the bi and multi-allelic case. Functions for testing equilibrium in the presence of missing data by using multiple imputation are also provided. Implements several graphics for exploring the equilibrium status of a large set of bi-allelic markers: ternary plots with acceptance regions, log-ratio plots and Q-Q plots.
Author: Jan Graffelman [aut, cre], Christopher Chang [ctb], Xavi Puig [ctb], Jan Wigginton [ctb], Leonardo Ortoleva [ctb], William R. Engels [ctb]
Maintainer: Jan Graffelman <jan.graffelman@upc.edu>

Diff between HardyWeinberg versions 1.7.1 dated 2021-01-04 and 1.7.2 dated 2021-04-28

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New package deeplr with initial version 2.0.0
Package: deeplr
Title: Interface to the 'DeepL' Translation API
Version: 2.0.0
Authors@R: c( person("David", "Zumbach", role = c("aut", "cre"), email = "david.zumbach@gfzb.ch"), person("Paul C.", "Bauer", role = c("aut"), email = "mail@paulcbauer.eu") )
Description: A wrapper for the 'DeepL' Pro API <https://www.deepl.com/docs-api>, a web service for translating texts between different languages. A DeepL API developer account is required to use the service (see <https://www.deepl.com/pro#developer).
License: GPL (>= 2)
Encoding: UTF-8
URL: https://www.deepl.com/translator
BugReports: https://github.com/zumbov2/deeplr/issues
Imports: utf8, httr, tibble, purrr, tokenizers
Suggests: dplyr
NeedsCompilation: no
Packaged: 2021-04-27 19:15:31 UTC; david
Author: David Zumbach [aut, cre], Paul C. Bauer [aut]
Maintainer: David Zumbach <david.zumbach@gfzb.ch>
Repository: CRAN
Date/Publication: 2021-04-28 15:10:02 UTC

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Package windsoraiR updated to version 0.1.1 with previous version 0.1.0 dated 2021-04-21

Title: Access the 'Windsor.ai' API
Description: Collect multichannel marketing data from sources such as Google analytics, Facebook Ads, and many others using the 'Windsor.ai' API <https://www.windsor.ai/api-fields/>.
Author: Novica Nakov [aut, cre], Windsor.ai [cph]
Maintainer: Novica Nakov <nnovica@gmail.com>

Diff between windsoraiR versions 0.1.0 dated 2021-04-21 and 0.1.1 dated 2021-04-28

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New package rtern with initial version 0.1.1
Package: rtern
Title: A Ternary Conditional Operator for R
Version: 0.1.1
Authors@R: person(given = "Gethin", family = "Davies", role = c("aut", "cre"), email = "grd.davies@gmail.com")
Description: A small language extension for succinct conditional assignment using `?` and `:`, emulating the conditional ternary operator syntax using in C, Java, JavaScript and other languages.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/grddavies/rtern
BugReports: https://github.com/grddavies/rtern/issues
Suggests: covr, testthat (>= 3.0.0), spelling
Language: en-US
Imports: utils, lifecycle
NeedsCompilation: no
Packaged: 2021-04-23 13:41:36 UTC; Gethin.Davies
Author: Gethin Davies [aut, cre]
Maintainer: Gethin Davies <grd.davies@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-28 14:10:02 UTC

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New package matrixpls with initial version 1.0.13
Encoding: UTF-8
Package: matrixpls
Title: Matrix-Based Partial Least Squares Estimation
Version: 1.0.13
Date: 2021-04-28
Authors@R: c(person("Mikko", "Rönkkö", role=c("aut", "cre"), email = "mikko.ronkko@jyu.fi"))
Maintainer: Mikko Rönkkö <mikko.ronkko@jyu.fi>
Description: Partial Least Squares Path Modeling algorithm and related algorithms. The algorithm implementations aim for computational efficiency using matrix algebra and covariance data. The package is designed toward Monte Carlo simulations and includes functions to perform simple Monte Carlo simulations.
URL: https://github.com/mronkko/matrixpls
BugReports: https://github.com/mronkko/matrixpls/issues
ByteCompile: TRUE
Imports: assertive, matrixcalc, lavaan, MASS, methods, psych
Suggests: simsem, RUnit, parallel, semPLS, boot, Matrix, ASGSCA, knitr, R.rsp
License: GPL-3
LazyLoad: yes
LazyData: true
Collate: 'convCheck.R' 'estimator.R' 'innerEstim.R' 'matrixpls.R' 'matrixpls.boot.R' 'matrixpls.crossvalidate.R' 'matrixpls.optim.R' 'matrixpls.plspm.R' 'matrixpls.postestimation.R' 'matrixpls.predict.R' 'matrixpls.sempls.R' 'matrixpls.sim.R' 'matrixpls.util.R' 'outerEstim.R' 'paramEstimator.R' 'reliabilityEstim.R' 'signChange.R' 'weightFun.R' 'weightSign.R'
VignetteBuilder: R.rsp
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2021-04-28 09:31:19 UTC; mivaanro
Author: Mikko Rönkkö [aut, cre]
Repository: CRAN
Date/Publication: 2021-04-28 14:10:05 UTC

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New package hrt with initial version 1.0.0
Package: hrt
Title: Heteroskedasticity Robust Testing
Version: 1.0.0
Date: 2021-04-15
Author: David Preinerstorfer
Maintainer: David Preinerstorfer <david.preinerstorfer@ulb.be>
Description: Functions for testing affine hypotheses on the regression coefficient vector in regression models with heteroskedastic errors: (i) a function for computing various test statistics (in particular using HC0-HC4 covariance estimators based on unrestricted or restricted residuals); (ii) a function for numerically approximating the size of a test based on such test statistics and a user-supplied critical value; and, most importantly, (iii) a function for determining size-controlling critical values for such test statistics and a user-supplied significance level (also incorporating a check of conditions under which such a size-controlling critical value exists). The three functions are based on results in Poetscher and Preinerstorfer (2021) "Valid Heteroskedasticity Robust Testing" <arXiv:2104.12597>.
License: GPL-2
Imports: methods, stats, Rcpp, CompQuadForm
LinkingTo: Rcpp, RcppEigen
NeedsCompilation: yes
Packaged: 2021-04-28 10:49:55 UTC; preid
Repository: CRAN
Date/Publication: 2021-04-28 14:40:02 UTC

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Package ggVennDiagram updated to version 1.0.7 with previous version 0.5.0 dated 2021-02-28

Title: A 'ggplot2' Implement of Venn Diagram
Description: Easy-to-use functions to generate 2-7 sets Venn plot in publication quality.
Author: Chun-Hui Gao [aut, cre] (<https://orcid.org/0000-0002-1445-7939>), Guangchuang Yu [ctb] (<https://orcid.org/0000-0002-6485-8781>)
Maintainer: Chun-Hui Gao <gaospecial@gmail.com>

Diff between ggVennDiagram versions 0.5.0 dated 2021-02-28 and 1.0.7 dated 2021-04-28

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 68 files changed, 405 insertions(+), 297 deletions(-)

More information about ggVennDiagram at CRAN
Permanent link

Package torch updated to version 0.3.0 with previous version 0.2.1 dated 2021-01-05

Title: Tensors and Neural Networks with 'GPU' Acceleration
Description: Provides functionality to define and train neural networks similar to 'PyTorch' by Paszke et al (2019) <arXiv:1912.01703> but written entirely in R using the 'libtorch' library. Also supports low-level tensor operations and 'GPU' acceleration.
Author: Daniel Falbel [aut, cre, cph], Javier Luraschi [aut], Dmitriy Selivanov [ctb], Athos Damiani [ctb], Christophe Regouby [ctb], Krzysztof Joachimiak [ctb], RStudio [cph]
Maintainer: Daniel Falbel <daniel@rstudio.com>

Diff between torch versions 0.2.1 dated 2021-01-05 and 0.3.0 dated 2021-04-28

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Package signnet updated to version 0.7.1 with previous version 0.7.0 dated 2020-10-21

Title: Methods to Analyse Signed Networks
Description: Methods for the analysis of signed networks. This includes several measures for structural balance as introduced by Cartwright and Harary (1956) <doi:10.1037/h0046049>, blockmodeling algorithms from Doreian (2008) <doi:10.1016/j.socnet.2008.03.005>, various centrality indices, and projections of signed two-mode networks introduced by Schoch (2020) <doi:10.1080/0022250X.2019.1711376>.
Author: David Schoch [aut, cre]
Maintainer: David Schoch <david.schoch@manchester.ac.uk>

Diff between signnet versions 0.7.0 dated 2020-10-21 and 0.7.1 dated 2021-04-28

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Package Nmisc updated to version 0.3.7 with previous version 0.3.5 dated 2018-11-07

Title: Miscellaneous Functions Used at 'Numeract LLC'
Description: Contains functions useful for debugging, set operations on vectors, and 'UTC' date and time functionality. It adds a few vector manipulation verbs to 'purrr' and 'dplyr' packages. It can also generate an R file to install and update packages to simplify deployment into production. The functions were developed at the data science firm 'Numeract LLC' and are used in several packages and projects.
Author: Mike Badescu [aut, cre], Ana-Maria Niculescu [aut], Teodor Ciuraru [ctb], Numeract LLC [cph]
Maintainer: Mike Badescu <mike.badescu@numeract.com>

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New package mopac with initial version 0.1.0
Package: mopac
Title: Collection of Datasets Pertaining to Loop 1 "Mopac"
Version: 0.1.0
Authors@R: person("Scott", "McKenzie", email = "sccmckenzie@gmail.com", role = c("aut", "cre"))
Description: Provides real & simulated datasets containing time-series traffic observations and additional information pertaining to Loop 1 "Mopac" located in Austin, Texas.
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Suggests: dplyr, lubridate, tibble, readr, hms
URL: https://github.com/sccmckenzie/mopac
BugReports: https://github.com/sccmckenzie/mopac/issues
License: MIT + file LICENSE
NeedsCompilation: no
Packaged: 2021-04-27 15:35:00 UTC; Scott
Author: Scott McKenzie [aut, cre]
Maintainer: Scott McKenzie <sccmckenzie@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-28 13:10:17 UTC

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Package mcmcensemble updated to version 3.0.0 with previous version 2.2.0 dated 2021-02-20

Title: Ensemble Sampler for Affine-Invariant MCMC
Description: Provides ensemble samplers for affine-invariant Monte Carlo Markov Chain, which allow a faster convergence for badly scaled estimation problems. Two samplers are proposed: the 'differential.evolution' sampler from ter Braak and Vrugt (2008) <doi:10.1007/s11222-008-9104-9> and the 'stretch' sampler from Goodman and Weare (2010) <doi:10.2140/camcos.2010.5.65>.
Author: Hugo Gruson [cre, aut, cph] (<https://orcid.org/0000-0002-4094-1476>), Sanda Dejanic [aut, cph], Andreas Scheidegger [aut, cph] (<https://orcid.org/0000-0003-2575-2172>)
Maintainer: Hugo Gruson <hugo.gruson+R@normalesup.org>

Diff between mcmcensemble versions 2.2.0 dated 2021-02-20 and 3.0.0 dated 2021-04-28

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Package GROAN updated to version 1.2.1 with previous version 1.2.0 dated 2018-10-11

Title: Genomic Regression Workbench
Description: Workbench for testing genomic regression accuracy on (optionally noisy) phenotypes.
Author: Nelson Nazzicari & Filippo Biscarini
Maintainer: Nelson Nazzicari <nelson.nazzicari@gmail.com>

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New package audrex with initial version 1.0.0
Package: audrex
Title: Automatic Dynamic Regression using Extreme Gradient Boosting
Version: 1.0.0
Author: Giancarlo Vercellino
Maintainer: Giancarlo Vercellino <giancarlo.vercellino@gmail.com>
Description: Dynamic regression for time series using Extreme Gradient Boosting with hyper-parameter tuning via Bayesian Optimization.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.6)
Imports: rBayesianOptimization, xgboost, purrr, abind, ggplot2, readr, stringr, lubridate, narray, fANCOVA, imputeTS, scales, tictoc, bizdays
URL: <https://github.com/dmlc/xgboost>, <https://github.com/yanyachen/rBayesianOptimization>
NeedsCompilation: no
Packaged: 2021-04-28 04:32:36 UTC; gvercellino
Repository: CRAN
Date/Publication: 2021-04-28 13:30:02 UTC

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Package wsrf updated to version 1.7.21 with previous version 1.7.20 dated 2021-04-24

Title: Weighted Subspace Random Forest for Classification
Description: A parallel implementation of Weighted Subspace Random Forest. The Weighted Subspace Random Forest algorithm was proposed in the International Journal of Data Warehousing and Mining by Baoxun Xu, Joshua Zhexue Huang, Graham Williams, Qiang Wang, and Yunming Ye (2012) <DOI:10.4018/jdwm.2012040103>. The algorithm can classify very high-dimensional data with random forests built using small subspaces. A novel variable weighting method is used for variable subspace selection in place of the traditional random variable sampling.This new approach is particularly useful in building models from high-dimensional data.
Author: Qinghan Meng [aut], He Zhao [aut, cre] (<https://orcid.org/0000-0001-5763-9743>), Graham J. Williams [aut] (<https://orcid.org/0000-0001-7041-4127>), Junchao Lv [aut], Baoxun Xu [aut], Joshua Zhexue Huang [aut] (<https://orcid.org/0000-0002-6797-2571>)
Maintainer: He Zhao <Simon.Yansen.Zhao@gmail.com>

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Package mvGPS updated to version 1.1.1 with previous version 1.0.2 dated 2020-09-17

Title: Causal Inference using Multivariate Generalized Propensity Score
Description: Methods for estimating and utilizing the multivariate generalized propensity score (mvGPS) for multiple continuous exposures described in Williams, J.R, and Crespi, C.M. (2020) <arxiv:2008.13767>. The methods allow estimation of a dose-response surface relating the joint distribution of multiple continuous exposure variables to an outcome. Weights are constructed assuming a multivariate normal density for the marginal and conditional distribution of exposures given a set of confounders. Confounders can be different for different exposure variables. The weights are designed to achieve balance across all exposure dimensions and can be used to estimate dose-response surfaces.
Author: Justin Williams [aut, cre] (<https://orcid.org/0000-0002-5045-2764>)
Maintainer: Justin Williams <williazo@ucla.edu>

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Package table1 updated to version 1.4 with previous version 1.3 dated 2021-03-28

Title: Tables of Descriptive Statistics in HTML
Description: Create HTML tables of descriptive statistics, as one would expect to see as the first table (i.e. "Table 1") in a medical/epidemiological journal article.
Author: Benjamin Rich [aut, cre, cph]
Maintainer: Benjamin Rich <mail@benjaminrich.net>

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Package scholar updated to version 0.2.1 with previous version 0.2.0 dated 2021-01-12

Title: Analyse Citation Data from Google Scholar
Description: Provides functions to extract citation data from Google Scholar. Convenience functions are also provided for comparing multiple scholars and predicting future h-index values.
Author: Guangchuang Yu [aut, cre] (<https://orcid.org/0000-0002-6485-8781>), James Keirstead [aut], Gregory Jefferis [ctb], Gordon Getzinger [ctb], Jorge Cimentada [ctb], Max Czapanskiy [ctb], Dominique Makowski [ctb]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package PAMA updated to version 1.1.0 with previous version 1.0.1 dated 2021-04-18

Title: Rank Aggregation with Partition Mallows Model
Description: Rank aggregation aims to achieve a better ranking list given multiple observations. 'PAMA' implements Partition-Mallows model for rank aggregation where the rankers' quality are different. Both Bayesian inference and Maximum likelihood estimation (MLE) are provided. It can handle partial list as well. When covariates information is available, this package can make inference by incorporating the covariate information. More information can be found in the paper "Integrated Partition-Mallows Model and Its Inference for Rank Aggregation".
Author: Wanchuang Zhu [cre, aut]
Maintainer: Wanchuang Zhu <andy.chou.sub@gmail.com>

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Package multiridge updated to version 1.7 with previous version 1.5 dated 2021-04-06

Title: Fast Cross-Validation for Multi-Penalty Ridge Regression
Description: Multi-penalty linear, logistic and cox ridge regression, including estimation of the penalty parameters by efficient (repeated) cross-validation and marginal likelihood maximization. Multiple high-dimensional data types that require penalization are allowed, as well as unpenalized variables. Paired and preferential data types can be specified. See Van de Wiel et al. (2021), <arXiv:2005.09301>.
Author: Mark A. van de Wiel
Maintainer: Mark A. van de Wiel <mark.vdwiel@amsterdamumc.nl>

Diff between multiridge versions 1.5 dated 2021-04-06 and 1.7 dated 2021-04-28

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Package maptiles updated to version 0.1.3 with previous version 0.1.2 dated 2021-04-20

Title: Download and Display Map Tiles
Description: To create maps from tiles, 'maptiles' downloads, composes and displays tiles from a large number of providers (e.g. 'OpenStreetMap', 'Stamen', 'Esri', 'CARTO', or 'Thunderforest').
Author: Timothée Giraud [cre, aut] (<https://orcid.org/0000-0002-1932-3323>), Diego Hernangómez [ctb] (<https://orcid.org/0000-0001-8457-4658>), Robert J. Hijmans [ctb] (<https://orcid.org/0000-0001-5872-2872>)
Maintainer: Timothée Giraud <timothee.giraud@cnrs.fr>

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New package YatesAlgo.FactorialExp.SR with initial version 4.0.4
Package: YatesAlgo.FactorialExp.SR
Title: Yates' Algorithm in 2^n Factorial Experiment
Version: 4.0.4
Author: Somjit Roy
Maintainer: Somjit Roy <somjit.roy2001@gmail.com>
Description: Determines the sum of squares of the (2^n)-1 factorial effects in a 2^n factorial experiment using Yates' algorithm.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: lubridate
NeedsCompilation: no
Packaged: 2021-04-27 07:49:29 UTC; somji
Repository: CRAN
Date/Publication: 2021-04-28 08:00:05 UTC

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New package washex with initial version 1.0.0
Package: washex
Title: Washington State Legislative Explorer
Version: 1.0.0
Authors@R: person(given = "Rohnin", family = "Randles", role = c("aut", "cre"), email = "rrandles@princeton.edu")
Description: Gets data from the Washington State Legislature.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 2.10)
Imports: dplyr, purrr, rlang, XML (>= 3.99-0.5)
Suggests: testthat (>= 3.0.0)
URL: https://github.com/rwrandles/washex-r
BugReports: https://github.com/rwrandles/washex-r/issues
NeedsCompilation: no
Packaged: 2021-04-26 22:45:29 UTC; rrdal
Author: Rohnin Randles [aut, cre]
Maintainer: Rohnin Randles <rrandles@princeton.edu>
Repository: CRAN
Date/Publication: 2021-04-28 07:10:02 UTC

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New package RMAT with initial version 0.2.0
Package: RMAT
Version: 0.2.0
Title: Random Matrix Analysis Toolkit
Authors@R: c(person(given = "Ali", family = "Taqi", role = c("aut", "cre"), email = "alif.taqi00@gmail.com"), person(given = "Jonathan", family = "Wells", role = c("ths"), email = "wellsj@reed.edu") )
Maintainer: Ali Taqi <alif.taqi00@gmail.com>
Description: Simulate random matrices and ensembles and compute their eigenvalue spectra and dispersions.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: purrr, dplyr, stats, magrittr
Suggests: tidyverse
NeedsCompilation: no
Packaged: 2021-04-27 00:27:00 UTC; erdos
Author: Ali Taqi [aut, cre], Jonathan Wells [ths]
Repository: CRAN
Date/Publication: 2021-04-28 07:50:05 UTC

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New package mangoTraining with initial version 1.1.1
Package: mangoTraining
Title: Mango Solutions Training Datasets
Version: 1.1.1
Authors@R: c(person(given = "Mango Solutions", role = c("aut"), email = c("training@mango-solutions.com", "rin24hours@mango-solutions.com")), person(given = "Andrew", family = "Little", role = c("aut", "cre", "ctb", "dtc", "rev"), email = "alittle@mango-solutions.com"), person(given = "Karina", family = "Marks", role = c("aut", "ctb"), email = "kmarks@mango-solutions.com"), person(given = "Aimee", family = "Gott", role = "aut"), person(given = "Owen", family = "Jones", role = "ctb"))
Contact:
Description: Datasets to be used primarily in conjunction with Mango Solutions training materials but also for the book 'SAMS Teach Yourself R in 24 Hours' (ISBN: 978-0-672-33848-9). Version 1.0-7 is largely for use with the book; however, version 1.1 has a much greater focus on use with training materials, whilst retaining compatibility with the book.
URL: https://www.mango-solutions.com/
Depends: R (>= 3.5.0)
Imports: tibble
Suggests: testthat
License: GPL-2
LazyLoad: yes
LazyData: yes
BugReports: https://github.com/MangoTheCat/mangoTraining/issues
NeedsCompilation: no
Packaged: 2021-04-27 09:49:19 UTC; alittle
Author: Mango Solutions [aut], Andrew Little [aut, cre, ctb, dtc, rev], Karina Marks [aut, ctb], Aimee Gott [aut], Owen Jones [ctb]
Maintainer: Andrew Little <alittle@mango-solutions.com>
Repository: CRAN
Date/Publication: 2021-04-28 08:00:02 UTC

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New package glmtrans with initial version 1.0.0
Package: glmtrans
Title: Transfer Learning with Regularized Generalized Linear Models
Version: 1.0.0
Authors@R: c(person("Ye", "Tian", role = c("aut", "cre"), email = "ye.t@columbia.edu"), person("Yang", "Feng", role = "aut", email = "yang.feng@nyu.edu"))
Description: We provide an efficient implementation for two-step multi-source transfer learning algorithms in high-dimensional generalized linear models (GLMs). The elastic-net penalized GLM with three popular families, including linear, logistic and Poisson models, can be fitted. To avoid negative transfer, a transferable source detection algorithm is available. We also provides visualization for the transferable source detection results. A relevant paper by Ye Tian and Yang Feng (2021) will be available soon on arXiv.
Imports: glmnet, ggplot2, foreach, doParallel, caret, assertthat, formatR, stats
License: GPL-2
Depends: R (>= 3.5.0)
Encoding: UTF-8
LazyData: TRUE
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-27 02:48:27 UTC; yetian
Author: Ye Tian [aut, cre], Yang Feng [aut]
Maintainer: Ye Tian <ye.t@columbia.edu>
Repository: CRAN
Date/Publication: 2021-04-28 07:50:02 UTC

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Package erify updated to version 0.2.0 with previous version 0.1.0 dated 2021-04-16

Title: Check Arguments and Generate Readable Error Messages
Description: Provides several validator functions to check if arguments passed by users have valid types, lengths, etc., and if not, to generate informative and good-formatted error messages in a consistent style. Also provides tools for users to create their own validator functions. The error message style used is adopted from <https://style.tidyverse.org/error-messages.html>.
Author: Renfei Mao
Maintainer: Renfei Mao <renfeimao@gmail.com>

Diff between erify versions 0.1.0 dated 2021-04-16 and 0.2.0 dated 2021-04-28

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New package eiopaR with initial version 0.1.0
Package: eiopaR
Title: Access to RFR (Risk-Free Rate) Curves Produced by the EIOPA
Version: 0.1.0
Authors@R: person(given = "Mehdi", family = "Echchelh", role = c("aut", "cre"), email = "mehdi.echel@gmail.com", comment = c())
Description: Provides EIOPA (European Insurance And Occupational Pensions Authority) risk-free rates. Please note that the author of this package is not affiliated with EIOPA. The data is accessed through a REST API available at <https://mehdiechchelh.com/api/>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: httr, jsonlite,
Collate: 'const.R' 'api.R' 'eiopaR.R' 'utils.R'
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2021-04-26 09:25:52 UTC; mehdi
Author: Mehdi Echchelh [aut, cre]
Maintainer: Mehdi Echchelh <mehdi.echel@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-28 07:00:03 UTC

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Package DIscBIO updated to version 1.2.0 with previous version 1.1.0 dated 2020-11-13

Title: A User-Friendly Pipeline for Biomarker Discovery in Single-Cell Transcriptomics
Description: An open, multi-algorithmic pipeline for easy, fast and efficient analysis of cellular sub-populations and the molecular signatures that characterize them. The pipeline consists of four successive steps: data pre-processing, cellular clustering with pseudo-temporal ordering, defining differential expressed genes and biomarker identification. More details on Ghannoum et. al. (2021) <doi:10.3390/ijms22031399>. This package implements extensions of the work published by Ghannoum et. al. (2019) <doi:10.1101/700989>.
Author: Salim Ghannoum [aut, cph], Alvaro Köhn-Luque [aut, ths], Waldir Leoncio [cre, aut], Damiano Fantini [ctb]
Maintainer: Waldir Leoncio <w.l.netto@medisin.uio.no>

Diff between DIscBIO versions 1.1.0 dated 2020-11-13 and 1.2.0 dated 2021-04-28

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New package DGEobj.utils with initial version 1.0.3
Package: DGEobj.utils
Title: Differential Gene Expression (DGE) Analysis Utility Toolkit
Version: 1.0.3
Description: Provides a function toolkit to facilitate reproducible RNA-Seq Differential Gene Expression (DGE) analysis (Law (2015) <doi:10.12688/f1000research.9005.3>). The tools include both analysis work-flow and utility functions: mapping/unit conversion, count normalization, accounting for unknown covariates, and more. This is a complement/cohort to the 'DGEobj' package that provides a flexible container to manage and annotate Differential Gene Expression analysis results.
Authors@R: c(person("John", "Thompson", role = "aut", email = "jrt@thompsonclan.org"), person("Connie", "Brett", role = c("aut", "cre"), email = "connie@aggregate-genius.com"), person("Isaac", "Neuhaus", role = "aut", email = "isaac.neuhaus@bms.com"), person("Ryan", "Thompson", role = "aut", email = "rct@thompsonclan.org"))
Depends: R (>= 3.5.0)
License: GPL-3
Language: en-US
Encoding: UTF-8
Imports: assertthat, DGEobj (>= 1.0.3), dplyr, statmod, stats, stringr, tidyr, edgeR, IHW, limma, qvalue, RNASeqPower, sva, zFPKM
Suggests: canvasXpress, conflicted, glue, ggplot2, knitr, rmarkdown, testthat, biomaRt
biocViews:
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-26 17:26:21 UTC; conniebrett
Author: John Thompson [aut], Connie Brett [aut, cre], Isaac Neuhaus [aut], Ryan Thompson [aut]
Maintainer: Connie Brett <connie@aggregate-genius.com>
Repository: CRAN
Date/Publication: 2021-04-28 06:40:02 UTC

More information about DGEobj.utils at CRAN
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Package ClustImpute (with last version 0.2.0) was removed from CRAN

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

2021-03-20 0.2.0
2021-01-05 0.1.7
2020-12-12 0.1.6
2020-07-26 0.1.5
2020-05-11 0.1.4
2019-08-01 0.1.3

Permanent link
Package FeatureImpCluster (with last version 0.1.2) was removed from CRAN

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

2020-05-18 0.1.2

Permanent link
Package mustashe (with last version 0.1.2) was removed from CRAN

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

2020-04-21 0.1.2
2020-03-28 0.1.1

Permanent link
Package bomrang (with last version 0.7.4) was removed from CRAN

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

2021-03-29 0.7.4
2020-12-01 0.7.3
2020-11-15 0.7.2
2020-09-28 0.7.1
2020-01-20 0.7.0

Permanent link
Package rRofex updated to version 2.0.5 with previous version 2.0.3 dated 2020-07-31

Title: Interface to 'Matba Rofex' Trading API
Description: Execute API calls to the 'Matba Rofex' <https://apihub.primary.com.ar> trading platform. Functionality includes accessing account data and current holdings, retrieving investment quotes, placing and canceling orders, and getting reference data for instruments.
Author: Augusto Hassel [aut, cre], Juan Francisco Gomez [ctb], Matba Rofex [cph]
Maintainer: Augusto Hassel <mpi-augusto@primary.com.ar>

Diff between rRofex versions 2.0.3 dated 2020-07-31 and 2.0.5 dated 2021-04-28

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Package rbibutils updated to version 2.1.1 with previous version 2.1 dated 2021-04-06

Title: Convert Between Bibliography Formats
Description: Read and write 'BibTeX' files. Convert between bibliography formats, including 'BibTeX', 'BibLaTeX', 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] (R port, R code, modifications to bibutils' C code, conversion to Bibentry (R and C code)), Chris Putman [aut] (src/*, author of the bibutils libraries, https://sourceforge.net/projects/bibutils/), Richard Mathar [ctb] (src/addsout.c), Johannes Wilm [ctb] (src/biblatexin.c, src/bltypes.c)
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>

Diff between rbibutils versions 2.1 dated 2021-04-06 and 2.1.1 dated 2021-04-28

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Package pkgcond updated to version 0.1.1 with previous version 0.1.0 dated 2018-12-03

Title: Classed Error and Warning Conditions
Description: This provides utilities for creating classed error and warning conditions based on where the error originated.
Author: Andrew Redd [aut, cre], R Documentation Task Force [aut]
Maintainer: Andrew Redd <Andrew.Redd@hsc.utah.edu>

Diff between pkgcond versions 0.1.0 dated 2018-12-03 and 0.1.1 dated 2021-04-28

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Package onlineBcp updated to version 0.1.1 with previous version 0.1.0 dated 2021-01-11

Title: Online Bayesian Methods for Change Point Analysis
Description: It implements the online Bayesian methods for change point analysis. It can also perform missing data imputation with methods from 'VIM'. The reference is Yigiter A, Chen J, An L, Danacioglu N (2015) <doi:10.1080/02664763.2014.1001330>.
Author: Hongyan Xu [cre, aut], Ayten Yigiter [aut], Jie Chen [aut]
Maintainer: Hongyan Xu <hxu@augusta.edu>

Diff between onlineBcp versions 0.1.0 dated 2021-01-11 and 0.1.1 dated 2021-04-28

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Package mlr3misc updated to version 0.9.1 with previous version 0.9.0 dated 2021-04-12

Title: Helper Functions for 'mlr3'
Description: Frequently used helper functions and assertions used in 'mlr3' and its companion packages. Comes with helper functions for functional programming, for printing, to work with 'data.table', as well as some generally useful 'R6' classes. This package also supersedes the package 'BBmisc'.
Author: Michel Lang [cre, aut] (<https://orcid.org/0000-0001-9754-0393>), Patrick Schratz [aut] (<https://orcid.org/0000-0003-0748-6624>)
Maintainer: Michel Lang <michellang@gmail.com>

Diff between mlr3misc versions 0.9.0 dated 2021-04-12 and 0.9.1 dated 2021-04-28

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Package DDPNA updated to version 0.2.7 with previous version 0.2.6 dated 2020-07-05

Title: Disease-Drived Differential Proteins Co-Expression Network Analysis
Description: Functions designed to connect disease-related differential proteins and co-expression network. It provides the basic statics analysis included t test, ANOVA analysis. The network construction is not offered by the package, you can used 'WGCNA' package which you can learn in Peter et al. (2008) <doi:10.1186/1471-2105-9-559>. It also provides module analysis included PCA analysis, two enrichment analysis, Planner maximally filtered graph extraction and hub analysis.
Author: Kefu Liu [aut, cre]
Maintainer: Kefu Liu <liukefu19@163.com>

Diff between DDPNA versions 0.2.6 dated 2020-07-05 and 0.2.7 dated 2021-04-28

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Package BiDAG updated to version 2.0.1 with previous version 2.0.0 dated 2021-02-15

Title: Bayesian Inference for Directed Acyclic Graphs
Description: Implementation of a collection of MCMC methods for Bayesian structure learning of directed acyclic graphs (DAGs), both from continuous and discrete data. For efficient inference on larger DAGs, the space of DAGs is pruned according to the data. To filter the search space, the algorithm employs a hybrid approach, combining constraint-based learning with search and score. A reduced search space is initially defined on the basis of a skeleton obtained by means of the PC-algorithm, and then iteratively improved with search and score. Search and score is then performed following two approaches: Order MCMC, or Partition MCMC. The BGe score is implemented for continuous data and the BDe score is implemented for binary data or categorical data. The algorithms may provide the maximum a posteriori (MAP) graph or a sample (a collection of DAGs) from the posterior distribution given the data. All algorithms are also applicable for structure learning and sampling for dynamic Bayesian networks. References: J. Kuipers, P. Suter and G. Moffa (2018) <arXiv:1803.07859v2>, N. Friedman and D. Koller (2003) <doi:10.1023/A:1020249912095>, D. Geiger and D. Heckerman (2002) <doi:10.1214/aos/1035844981>, J. Kuipers and G. Moffa (2017) <doi:10.1080/01621459.2015.1133426>, M. Kalisch et al.(2012) <doi:10.18637/jss.v047.i11>.
Author: Polina Suter [aut, cre], Jack Kuipers [aut]
Maintainer: Polina Suter <polina.suter@bsse.ethz.ch>

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More information about BiDAG at CRAN
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Package Visualize.CRAN.Downloads updated to version 1.0.1 with previous version 1.0 dated 2020-03-21

Title: Visualize Downloads from 'CRAN' Packages
Description: Visualize the trends and historical downloads from packages in the 'CRAN' repository. Data is obtained by using the 'API' to query the database from the 'RStudio' 'CRAN' mirror.
Author: Marcelo Ponce [aut, cre]
Maintainer: Marcelo Ponce <mponce@scinet.utoronto.ca>

Diff between Visualize.CRAN.Downloads versions 1.0 dated 2020-03-21 and 1.0.1 dated 2021-04-28

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More information about Visualize.CRAN.Downloads at CRAN
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Package gwer updated to version 3.0 with previous version 2.1 dated 2020-11-24

Title: Geographically Weighted Elliptical Regression
Description: Computes a elliptical regression model or a geographically weighted regression model with elliptical errors using Fisher's score algorithm. Provides diagnostic measures, residuals and analysis of variance. Cysneiros, F. J. A., Paula, G. A., and Galea, M. (2007) <doi:10.1016/j.spl.2007.01.012>.
Author: Yuri A. Araujo, Francisco Jose A. Cysneiros and Audrey H. M. A. Cysneiros
Maintainer: Yuri A. Araujo <yada1@de.ufpe.br>

Diff between gwer versions 2.1 dated 2020-11-24 and 3.0 dated 2021-04-28

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Package GMDH2 updated to version 1.6 with previous version 1.5 dated 2019-07-22

Title: Binary Classification via GMDH-Type Neural Network Algorithms
Description: Performs binary classification via Group Method of Data Handling (GMDH) - type neural network algorithms. There exist two main algorithms available in GMDH() and dceGMDH() functions. GMDH() performs classification via GMDH algorithm for a binary response and returns important variables. dceGMDH() performs classification via diverse classifiers ensemble based on GMDH (dce-GMDH) algorithm. Also, the package produces a well-formatted table of descriptives for a binary response. Moreover, it produces confusion matrix, its related statistics and scatter plot (2D and 3D) with classification labels of binary classes to assess the prediction performance. All 'GMDH2' functions are designed for a binary response (Dag et al., 2019, <https://download.atlantis-press.com/article/125911202.pdf>).
Author: Osman Dag [aut, cre], Erdem Karabulut [aut], Reha Alpar [aut], Merve Kasikci [ctb]
Maintainer: Osman Dag <osman.dag@outlook.com>

Diff between GMDH2 versions 1.5 dated 2019-07-22 and 1.6 dated 2021-04-28

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More information about GMDH2 at CRAN
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