Thu, 01 Sep 2022

Package tidyxl updated to version 1.0.8 with previous version 1.0.7 dated 2020-11-16

Title: Read Untidy Excel Files
Description: Imports non-tabular from Excel files into R. Exposes cell content, position and formatting in a tidy structure for further manipulation. Tokenizes Excel formulas. Supports '.xlsx' and '.xlsm' via the embedded 'RapidXML' C++ library <http://rapidxml.sourceforge.net>. Does not support '.xlsb' or '.xls'.
Author: Duncan Garmonsway [aut, cre], Hadley Wickham [ctb] , Jenny Bryan [ctb] , RStudio [cph] , Marcin Kalicinski [ctb, cph]
Maintainer: Duncan Garmonsway <nacnudus@gmail.com>

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Package castor updated to version 1.7.3 with previous version 1.7.2 dated 2022-01-08

Title: Efficient Phylogenetics on Large Trees
Description: Efficient phylogenetic analyses on massive phylogenies comprising up to millions of tips. Functions include pruning, rerooting, calculation of most-recent common ancestors, calculating distances from the tree root and calculating pairwise distances. Calculation of phylogenetic signal and mean trait depth (trait conservatism), ancestral state reconstruction and hidden character prediction of discrete characters, simulating and fitting models of trait evolution, fitting and simulating diversification models, dating trees, comparing trees, and reading/writing trees in Newick format. Citation: Louca, Stilianos and Doebeli, Michael (2017) <doi:10.1093/bioinformatics/btx701>.
Author: Stilianos Louca
Maintainer: Stilianos Louca <louca@zoology.ubc.ca>

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Package MultiplierDEA updated to version 0.1.19 with previous version 0.1.18 dated 2018-04-27

Title: Multiplier Data Envelopment Analysis and Cross Efficiency
Description: Functions are provided for calculating efficiency using multiplier DEA (Data Envelopment Analysis): Measuring the efficiency of decision making units (Charnes et al., 1978 <doi:10.1016/0377-2217(78)90138-8>) and cross efficiency using single and two-phase approach. In addition, it includes some datasets for calculating efficiency and cross efficiency.
Author: Aurobindh Kalathil Puthanpura <kalat2@pdx.edu>
Maintainer: Aurobindh Kalathil Puthanpura <kalat2@pdx.edu>

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Package Robyn updated to version 3.7.2 with previous version 3.6.3 dated 2022-05-06

Title: Semi-Automated Marketing Mix Modeling (MMM) from Meta Marketing Science
Description: Semi-Automated Marketing Mix Modeling (MMM) aiming to reduce human bias by means of ridge regression and evolutionary algorithms, enables actionable decision making providing a budget allocation and diminishing returns curves and allows ground-truth calibration to account for causation.
Author: Gufeng Zhou [aut], Leonel Sentana [aut], Igor Skokan [aut], Bernardo Lares [cre, aut], Meta Platforms, Inc. [cph, fnd]
Maintainer: Bernardo Lares <bernardolares@fb.com>

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Package distcomp updated to version 1.3-3 with previous version 1.3-2 dated 2022-07-11

Title: Computations over Distributed Data without Aggregation
Description: Implementing algorithms and fitting models when sites (possibly remote) share computation summaries rather than actual data over HTTP with a master R process (using 'opencpu', for example). A stratified Cox model and a singular value decomposition are provided. The former makes direct use of code from the R 'survival' package. (That is, the underlying Cox model code is derived from that in the R 'survival' package.) Sites may provide data via several means: CSV files, Redcap API, etc. An extensible design allows for new methods to be added in the future and includes facilities for local prototyping and testing. Web applications are provided (via 'shiny') for the implemented methods to help in designing and deploying the computations.
Author: Balasubramanian Narasimhan [aut, cre], Marina Bendersky [aut], Sam Gross [aut], Terry M. Therneau [ctb], Thomas Lumley [ctb]
Maintainer: Balasubramanian Narasimhan <naras@stat.Stanford.EDU>

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Package feasts updated to version 0.3.0 with previous version 0.2.2 dated 2021-06-03

Title: Feature Extraction and Statistics for Time Series
Description: Provides a collection of features, decomposition methods, statistical summaries and graphics functions for the analysing tidy time series data. The package name 'feasts' is an acronym comprising of its key features: Feature Extraction And Statistics for Time Series.
Author: Mitchell O'Hara-Wild [aut, cre], Rob Hyndman [aut], Earo Wang [aut], Di Cook [ctb], Thiyanga Talagala [ctb] , Leanne Chhay [ctb]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

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Package fable updated to version 0.3.2 with previous version 0.3.1 dated 2021-05-16

Title: Forecasting Models for Tidy Time Series
Description: Provides a collection of commonly used univariate and multivariate time series forecasting models including automatically selected exponential smoothing (ETS) and autoregressive integrated moving average (ARIMA) models. These models work within the 'fable' framework provided by the 'fabletools' package, which provides the tools to evaluate, visualise, and combine models in a workflow consistent with the tidyverse.
Author: Mitchell O'Hara-Wild [aut, cre], Rob Hyndman [aut], Earo Wang [aut], Gabriel Caceres [ctb] , Christoph Bergmeir [ctb] , Tim-Gunnar Hensel [ctb], Timothy Hyndman [ctb]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

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Package vitae updated to version 0.5.2 with previous version 0.5.1 dated 2021-12-06

Title: Curriculum Vitae for R Markdown
Description: Provides templates and functions to simplify the production and maintenance of curriculum vitae.
Author: Mitchell O'Hara-Wild [aut, cre] , Rob Hyndman [aut] , Yihui Xie [ctb] , Albert Krewinkel [cph] , JooYoung Seo [ctb]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

Diff between vitae versions 0.5.1 dated 2021-12-06 and 0.5.2 dated 2022-09-01

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Package phytools updated to version 1.2-0 with previous version 1.0-3 dated 2022-04-05

Title: Phylogenetic Tools for Comparative Biology (and Other Things)
Description: A wide range of functions for phylogenetic analysis - concentrated in phylogenetic comparative biology, but also including numerous methods for visualizing, manipulating, reading or writing, and even inferring phylogenetic trees. Included among the functions in phylogenetic comparative biology are various for ancestral state reconstruction, model-fitting, and simulation of phylogenies and data, for continuous, discrete, and multivariate characters. A broad range of plotting methods for phylogenies and comparative data include, but are not restricted to, methods for mapping trait evolution on trees, for projecting trees into phenotypic space or a geographic map, and for visualizing correlated speciation between trees. Finally, numerous functions are designed for reading, writing, analyzing, inferring, simulating, and manipulating phylogenetic trees and comparative data. For instance, there are functions for randomly or non-randomly attaching species or clades to a phylogeny, for computi [...truncated...]
Author: Liam J. Revell
Maintainer: Liam J. Revell <liam.revell@umb.edu>

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Package tsibbledata updated to version 0.4.1 with previous version 0.4.0 dated 2022-01-07

Title: Diverse Datasets for 'tsibble'
Description: Provides diverse datasets in the 'tsibble' data structure. These datasets are useful for learning and demonstrating how tidy temporal data can tidied, visualised, and forecasted.
Author: Mitchell O'Hara-Wild [aut, cre], Rob Hyndman [aut], Earo Wang [aut], Rakshitha Godahewa [aut], Christoph Bergmeir [ctb]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

Diff between tsibbledata versions 0.4.0 dated 2022-01-07 and 0.4.1 dated 2022-09-01

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Package gmwmx updated to version 1.0.2 with previous version 1.0.1 dated 2022-08-22

Title: Estimate Functional and Stochastic Parameters of Linear Models with Correlated Residuals
Description: Implements the Generalized Method of Wavelet Moments with Exogenous Inputs estimator (GMWMX) presented in Cucci, D. A., Voirol, L., Kermarrec, G., Montillet, J. P., and Guerrier, S. (2022) <arXiv:2206.09668>. The GMWMX estimator allows to estimate functional and stochastic parameters of linear models with correlated residuals. The 'gmwmx' package provides functions to estimate, compare and analyze models, utilities to load and work with Global Navigation Satellite System (GNSS) data as well as methods to compare results with the Maximum Likelihood Estimator (MLE) implemented in Hector.
Author: Davide Antonio Cucci [aut], Lionel Voirol [aut, cre], Stephane Guerrier [aut], Jean-Philippe Montillet [ctb], Gael Kermarrec [ctb]
Maintainer: Lionel Voirol <lionelvoirol@hotmail.com>

Diff between gmwmx versions 1.0.1 dated 2022-08-22 and 1.0.2 dated 2022-09-01

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New package shinylight with initial version 0.7
Package: shinylight
Title: Web Interface to 'R' Functions
Version: 0.7
Date: 2022-08-17
Description: Web front end for your 'R' functions producing plots or tables. If you have a function or set of related functions, you can make them available over the internet through a web browser. This is the same motivation as the 'shiny' package, but note that the development of 'shinylight' is not in any way linked to that of 'shiny' (beyond the use of the 'httpuv' package). You might prefer 'shinylight' to 'shiny' if you want a lighter weight deployment with easier horizontal scaling, or if you want to develop your front end yourself in JavaScript and HTML just using a lightweight remote procedure call interface to your R code on the server.
Author: Pieter Vermeesch [aut], Tim Band [aut, cre]
Maintainer: Tim Band <t.band@ucl.ac.uk>
Depends: R (>= 3.0.0)
Imports: grDevices (>= 3.6.2), httpuv (>= 1.5.4), jsonlite (>= 1.6.1), later (>= 1.0)
Suggests: websocket (>= 1.4.1)
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-08-31 19:16:24 UTC; tim
Repository: CRAN
Date/Publication: 2022-09-01 15:40:02 UTC

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New package rPBK with initial version 0.2.0
Package: rPBK
Title: Inference and Prediction of Generic Physiologically-Based Kinetic Models
Version: 0.2.0
Description: Fit and simulate any kind of physiologically-based kinetic ('PBK') models whatever the number of compartments. Moreover, it allows to account for any link between pairs of compartments, as well as any link of each of the compartments with the external medium. Such generic PBK models have today applications in pharmacology (PBPK models) to describe drug effects, in toxicology and ecotoxicology (PBTK models) to describe chemical substance effects. In case of exposure to a parent compound (drug or chemical) the 'rPBK' package allows to consider metabolites, whatever their number and their phase (I, II, ...). Last but not least, package 'rPBK' can also be used for dynamic flux balance analysis (dFBA) to deal with metabolic networks. See also Charles et al. (2022) <doi:10.1101/2022.04.29.490045>.
License: MIT + file LICENSE
Encoding: UTF-8
Biarch: true
Depends: R (>= 3.4.0)
Imports: ggplot2, methods, Rcpp (>= 0.12.0), rstan (>= 2.18.1)
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
SystemRequirements: GNU make
Suggests: knitr, loo, rmarkdown, testthat
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: yes
Packaged: 2022-08-31 19:09:03 UTC; root
Author: Virgile Baudrot [aut, cre], Sandrine Charles [aut], Christelle Lopes [aut], Ophelia Gestin [ctb], Dominique Lamonica [ctb], Aurelie Siberchicot [ctb]
Maintainer: Virgile Baudrot <virgile.baudrot@qonfluens.com>
Repository: CRAN
Date/Publication: 2022-09-01 15:10:02 UTC

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New package pRepDesigns with initial version 1.0.0
Package: pRepDesigns
Title: Partially Replicated (p-Rep) Designs
Version: 1.0.0
Maintainer: Vinaykumar L.N. <vinaymandya123@gmail.com>
Description: Early generation breeding trials are to be conducted in multiple environments where it may not be possible to replicate all the lines in each environment due to scarcity of resources. For such situations, partially replicated (p-Rep) designs have wide application potential as only a proportion of the test lines are replicated at each environment. A collection of several utility functions related to p-Rep designs have been developed. Here, the package contains four functions for a complete stepwise analytical study of these designs. Three functions pRep1(), pRep2() and pRep3() are used to generate three new series of p-Rep designs and also compute canonical efficiency factors, variance factors between associates and average variance factors of these designs. A fourth function NCEV() is used to generate incidence matrix (N), information matrix (C), canonical efficiency factor (E) and average variance factor (V). This function is general in nature and can be used for studying the characte [...truncated...]
Suggests: MASS
License: GPL (>= 2)
Encoding: UTF-8
LazyData: false
Repository: CRAN
NeedsCompilation: no
Packaged: 2022-09-01 05:40:32 UTC; Vinaykumar LN
Author: Vinaykumar L.N. [aut, cre], Cini Varghese [aut, ctb], Mohd Harun [aut, ctb], Ashutosh Dalal [aut, ctb], Sayantani Karmakar [aut, ctb], Vinayaka [aut, ctb]
Date/Publication: 2022-09-01 15:30:02 UTC

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New package NMTox with initial version 0.1.0
Package: NMTox
Title: Dose-Response Relationship Analysis of Nanomaterial Toxicity
Version: 0.1.0
Maintainer: Rahmasari Nur Azizah <rahma.azizah@uhasselt.be>
Description: Perform an exploration and a preliminary analysis on the dose- response relationship of nanomaterial toxicity. Several functions are provided for data exploration, including functions for creating a subset of dataset, frequency tables and plots. Inference for order restricted dose- response data is performed by testing the significance of monotonic dose-response relationship, using Williams, Marcus, M, Modified M and Likelihood ratio tests. Several methods of multiplicity adjustment are also provided. Description of the methods can be found in <https://github.com/rahmasarina/dose-response-analysis/blob/main/Methodology.pdf>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: gridExtra, dplyr, ggplot2, Iso, tidyr, forcats
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2022-08-31 23:54:26 UTC; u0135148
Author: Rahmasari Nur Azizah [aut, cre], Geert Verheyen [aut, ths], Sabine Van Miert [aut, ths], Ziv Shkedy [aut, ths]
Repository: CRAN
Date/Publication: 2022-09-01 15:20:05 UTC

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New package demcon with initial version 0.3.0
Package: demcon
Title: Interfacing with Popular Polity, Institutional, and Constitutional Datasets
Version: 0.3.0
Description: An open-source toolkit developed by ISciences, LLC and the DANTE Project that is intended for learning, accessing, pre-processing, and visualizing popular political, institutional, and constitutional datasets. ‘demcon' aims to reduce barriers to entry in political science research by automating common acquisition and pre-processing procedures. This package particularly focuses on the V-Dem dataset (<https://www.v-dem.net/vdemds.html>), and provides adaptations of methods presented in Fjelde, H., Knutsen, C. H. & Nygård, H. M. 2021, <doi:10.1093/isq/sqaa076>.
License: GPL (>= 3)
URL: https://gitlab.com/dante-sttr/demcon, https://dante-sttr.gitlab.io/demcon/index.html, https://www.isciences.com
BugReports: https://gitlab.com/dante-sttr/demcon/-/issues
Encoding: UTF-8
LazyData: true
Imports: countrycode, data.table, httr, rlang, stringr, utils
Suggests: cshapes, sf, states (>= 0.3.0), knitr, ggplot2, rmarkdown, rnaturalearth, rnaturalearthdata, rgeos, kableExtra, lubridate, haven, readxl, ggrepel, png, testthat (>= 3.0.0), vdiffr, compare, magrittr, devtools
VignetteBuilder: knitr
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2022-08-31 22:10:21 UTC; Josh
Author: Joshua Brinks [aut, cre]
Maintainer: Joshua Brinks <jbrinks@isciences.com>
Repository: CRAN
Date/Publication: 2022-09-01 15:20:02 UTC

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New package bsvars with initial version 1.0.0
Package: bsvars
Title: Bayesian Estimation of Structural Vector Autoregressive Models
Version: 1.0.0
Date: 2022-08-29
Description: Efficient algorithms for Bayesian estimation of Structural Vector Autoregressive (SVAR) models via Markov chain Monte Carlo methods. A wide range of SVAR models is considered, including homo- and heteroskedastic specifications and those with non-normal structural shocks. The heteroskedastic SVAR model setup is similar as in Woźniak & Droumaguet (2015) <doi:10.13140/RG.2.2.19492.55687> and Lütkepohl & Woźniak (2020) <doi:10.1016/j.jedc.2020.103862>. The sampler of the structural matrix follows Waggoner & Zha (2003) <doi:10.1016/S0165-1889(02)00168-9>, whereas that for autoregressive parameters follows Chan, Koop, Yu (2022) <https://www.joshuachan.org/papers/OISV.pdf>. The specification of Markov switching heteroskedasticity is inspired by Song & Woźniak (2021) <doi:10.1093/acrefore/9780190625979.013.174>, and that of Stochastic Volatility model by Kastner & Frühwirth-Schnatter (2014) <doi:10.1016/j.csda.2013.01.002>.
License: GPL (>= 3)
Maintainer: Tomasz Woźniak <wozniak.tom@pm.me>
Encoding: UTF-8
Imports: Rcpp (>= 1.0.7), RcppProgress (>= 0.1), RcppTN, GIGrvg, R6
Suggests: tinytest
LinkingTo: Rcpp, RcppProgress, RcppArmadillo, RcppTN
BugReports: https://github.com/donotdespair/bsvars/issues
NeedsCompilation: yes
Packaged: 2022-09-01 05:11:11 UTC; twozniak
Author: Tomasz Woźniak [aut, cre]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2022-09-01 15:40:06 UTC

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Package tidyfst updated to version 1.7.3 with previous version 1.7.1 dated 2022-08-16

Title: Tidy Verbs for Fast Data Manipulation
Description: A toolkit of tidy data manipulation verbs with 'data.table' as the backend. Combining the merits of syntax elegance from 'dplyr' and computing performance from 'data.table', 'tidyfst' intends to provide users with state-of-the-art data manipulation tools with least pain. This package is an extension of 'data.table'. While enjoying a tidy syntax, it also wraps combinations of efficient functions to facilitate frequently-used data operations.
Author: Tian-Yuan Huang [aut, cre]
Maintainer: Tian-Yuan Huang <huang.tian-yuan@qq.com>

Diff between tidyfst versions 1.7.1 dated 2022-08-16 and 1.7.3 dated 2022-09-01

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Package priceR updated to version 0.1.64 with previous version 0.1.62 dated 2022-06-30

Title: Economics and Pricing Tools
Description: Functions to aid in micro and macro economic analysis and handling of price and currency data. Includes extraction of relevant inflation and exchange rate data from World Bank API, data cleaning/parsing, and standardisation. Inflation adjustment calculations as found in Principles of Macroeconomics by Gregory Mankiw et al (2014). Current and historical end of day exchange rates for 171 currencies from the European Central Bank Statistical Data Warehouse (2020) <https://sdw.ecb.europa.eu/curConverter.do>.
Author: Steve Condylios [aut, cre]
Maintainer: Steve Condylios <steve.condylios@gmail.com>

Diff between priceR versions 0.1.62 dated 2022-06-30 and 0.1.64 dated 2022-09-01

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New package qte with initial version 1.3.1
Package: qte
Title: Quantile Treatment Effects
Version: 1.3.1
Description: Provides several methods for computing the Quantile Treatment Effect (QTE) and Quantile Treatment Effect on the Treated (QTT). The main cases covered are (i) Treatment is randomly assigned, (ii) Treatment is as good as randomly assigned after conditioning on some covariates (also called conditional independence or selection on observables) using the methods developed in Firpo (2007) <doi:10.1111/j.1468-0262.2007.00738.x>, (iii) Identification is based on a Difference in Differences assumption (several varieties are available in the package e.g. Athey and Imbens (2006) <doi:10.1111/j.1468-0262.2006.00668.x> Callaway and Li (2019) <doi:10.3982/QE935>, Callaway, Li, and Oka (2018) <doi:10.1016/j.jeconom.2018.06.008>).
Depends: R (>= 3.5)
Imports: Hmisc, parallel, quantreg, BMisc, formula.tools, ggplot2, texreg, pbapply, data.table
License: GPL-2
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
Suggests: rmarkdown, knitr, msm
NeedsCompilation: no
Packaged: 2022-08-31 20:44:39 UTC; bmc43193
Author: Brantly Callaway [aut, cre]
Maintainer: Brantly Callaway <brantly.callaway@uga.edu>
Repository: CRAN
Date/Publication: 2022-09-01 14:30:02 UTC

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New package growthcleanr with initial version 2.0.1
Package: growthcleanr
Title: Data Cleaner for Anthropometric Measurements
Version: 2.0.1
Description: Identifies implausible anthropometric (e.g., height, weight) measurements in irregularly spaced longitudinal datasets, such as those from electronic health records.
URL: https://carriedaymont.github.io/growthcleanr/index.html, https://github.com/carriedaymont/growthcleanr
BugReports: https://github.com/carriedaymont/growthcleanr/issues
Imports: R.utils (>= 2.11.0), data.table (>= 1.13.0), tidyr (>= 1.1.0), plyr (>= 1.8.6), dplyr (>= 1.0.1), foreach (>= 1.5.0), doParallel (>= 1.0.15), labelled (>= 2.5.0), magrittr (>= 1.5)
Depends: R (>= 2.10)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: argparser (>= 0.6), bit64 (>= 4.0.2), knitr (>= 1.29), rmarkdown (>= 2.3), testthat (>= 2.3.2)
NeedsCompilation: no
Packaged: 2022-08-31 18:20:49 UTC; HDELOSSANTOS
Author: Daymont Carrie [aut], Grundmeier Robert [aut], Miller Jeffrey [aut], Campos Diego [aut], Chudnov Dan [ctb], De los Santos Hannah [ctb, cre], Cao Lusha [ctb], Silva Steffani [ctb], Zhang Hanzhe [ctb], Boyas Matt [ctb], Freedman David [ctb], Achilleos [...truncated...]
Maintainer: De los Santos Hannah <hdelossantos@mitre.org>
Repository: CRAN
Date/Publication: 2022-09-01 15:00:02 UTC

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New package clmplus with initial version 0.0.1
Package: clmplus
Title: Tool-Box of Chain Ladder + Models
Version: 0.0.1
Description: Implementation of the chain ladder model under the reverse time framework introduced in Hiabu (2017) <doi:10.1080/03461238.2016.1240709>. It also implements extensions that add flexibility to the individual development factors modeling by allowing practitioners to set their own hazard rate model.
URL: https://github.com/gpitt71/clmplus
BugReports: https://github.com/gpitt71/clmplus/issues
License: GPL (>= 2)
Imports: StMoMo, ChainLadder, ggplot2, forecast, gridExtra, grid, reshape2
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, apc, dplyr, tidyr
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2022-08-31 17:30:04 UTC; gpitt
Author: Gabriele Pittarello [aut, cre, cph] , Munir Hiabu [aut, cph] , Andres Villegas [aut, cph]
Maintainer: Gabriele Pittarello <gabriele.pittarello@uniroma1.it>
Repository: CRAN
Date/Publication: 2022-09-01 14:50:02 UTC

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New package cheddar with initial version 0.1-638
Package: cheddar
Title: Analysis and Visualisation of Ecological Communities
Version: 0.1-638
Date: 2022-09-01
Author: Lawrence Hudson with contributions from Dan Reuman and Rob Emerson
Maintainer: Lawrence Hudson <quicklizard@googlemail.com>
Description: Provides a flexible, extendable representation of an ecological community and a range of functions for analysis and visualisation, focusing on food web, body mass and numerical abundance data. Allows inter-web comparisons such as examining changes in community structure over environmental, temporal or spatial gradients.
License: BSD_2_clause + file LICENSE
LazyLoad: yes
URL: https://github.com/quicklizard99/cheddar/
NeedsCompilation: yes
Packaged: 2022-09-01 03:53:43 UTC; lawrence
Repository: CRAN
Date/Publication: 2022-09-01 14:40:05 UTC

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New package nphRCT with initial version 0.1.0
Package: nphRCT
Title: Non-Proportional Hazards in Randomized Controlled Trials
Version: 0.1.0
Description: Perform a stratified weighted log-rank test in a randomized controlled trial. Tests can be visualized as a difference in average score on the two treatment arms. These methods are described in Magirr and Burman (2018) <arXiv:1807.11097v1>, Magirr (2020) <arXiv:2007.04767v1>, and Magirr and Jimenez (2022) <arXiv:2201.10445v1>.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), dplyr, cowplot, survminer
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
Imports: ggplot2, purrr, survival
LazyData: true
NeedsCompilation: no
Packaged: 2022-08-31 12:21:58 UTC; magirdo1
Author: Dominic Magirr [aut, cre], Isobel Barrott [aut], Jose Jimenez [ctb]
Maintainer: Dominic Magirr <d.magirr@gmail.com>
Repository: CRAN
Date/Publication: 2022-09-01 13:40:02 UTC

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Package esquisse updated to version 1.1.2 with previous version 1.1.1 dated 2022-05-03

Title: Explore and Visualize Your Data Interactively
Description: A 'shiny' gadget to create 'ggplot2' figures interactively with drag-and-drop to map your variables to different aesthetics. You can quickly visualize your data accordingly to their type, export in various formats, and retrieve the code to reproduce the plot.
Author: Fanny Meyer [aut], Victor Perrier [aut, cre], Ian Carroll [ctb] , Xiangnan Dang [ctb] , Nicolas Bevacqua [cph] , Daybrush [cph] , Zeno Rocha [cph]
Maintainer: Victor Perrier <victor.perrier@dreamrs.fr>

Diff between esquisse versions 1.1.1 dated 2022-05-03 and 1.1.2 dated 2022-09-01

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Package datamods updated to version 1.3.4 with previous version 1.3.3 dated 2022-07-13

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

Diff between datamods versions 1.3.3 dated 2022-07-13 and 1.3.4 dated 2022-09-01

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Package TopSisWM updated to version 1.0.2 with previous version 1.0.1 dated 2022-05-04

Title: Multi-Criteria Method for Decision (TOPSIS)
Description: Assists in the TOPSIS analysis process, designed to return at the end of the answer of the TOPSIS multicriteria analysis, a ranking table with the best option as the analysis proposes. TOPSIS is basically a technique developed by Hwang and Yoon in 1981, starting from the point that the best alternative should be closest to the positive ideal solution and farthest from the negative one, based on several criteria to result in the best benefit. (LIU, H. et al., 2019) <doi:10.1016/j.agwat.2019.105787>.
Author: Wagner Martins dos Santos [aut, cre]
Maintainer: Wagner Martins dos Santos <wagnnerms97@gmail.com>

Diff between TopSisWM versions 1.0.1 dated 2022-05-04 and 1.0.2 dated 2022-09-01

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Package TopKLists updated to version 1.0.8 with previous version 1.0.7 dated 2020-05-29

Title: Inference, Aggregation and Visualization for Top-K Ranked Lists
Description: For multiple ranked input lists (full or partial) representing the same set of N objects, the package 'TopKLists' <doi:10.1515/sagmb-2014-0093> offers (1) statistical inference on the lengths of informative top-k lists, (2) stochastic aggregation of full or partial lists, and (3) graphical tools for the statistical exploration of input lists, and for the visualization of aggregation results. Note that RGtk2 and gWidgets2RGtk2 have been archived on CRAN. See <https://github.com/pievos101/TopKLists> for installation instructions.
Author: Michael G. Schimek, Eva Budinska, Jie Ding, Karl G. Kugler, Vendula Svendova, Shili Lin, Bastian Pfeifer
Maintainer: Bastian Pfeifer <bastian.pfeifer@medunigraz.at>

Diff between TopKLists versions 1.0.7 dated 2020-05-29 and 1.0.8 dated 2022-09-01

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Package shinySelect updated to version 1.1.0 with previous version 1.0.0 dated 2021-11-17

Title: A Wrapper of the 'react-select' Library
Description: Provides a select control widget for 'Shiny'. It is easily customizable, and one can easily use HTML in the items and KaTeX to type mathematics.
Author: Stephane Laurent [aut, cre], Jed Watson [cph] , Clauderic Demers [cph]
Maintainer: Stephane Laurent <laurent_step@outlook.fr>

Diff between shinySelect versions 1.0.0 dated 2021-11-17 and 1.1.0 dated 2022-09-01

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Package mosaicData updated to version 0.20.3 with previous version 0.20.2 dated 2021-01-16

Title: Project MOSAIC Data Sets
Description: Data sets from Project MOSAIC (<http://www.mosaic-web.org>) used to teach mathematics, statistics, computation and modeling. Funded by the NSF, Project MOSAIC is a community of educators working to tie together aspects of quantitative work that students in science, technology, engineering and mathematics will need in their professional lives, but which are usually taught in isolation, if at all.
Author: Randall Pruim <rpruim@calvin.edu>, Daniel Kaplan <kaplan@macalester.edu>, Nicholas Horton <nhorton@amherst.edu>
Maintainer: Randall Pruim <rpruim@calvin.edu>

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Package FRK updated to version 2.0.6 with previous version 2.0.5 dated 2022-03-25

Title: Fixed Rank Kriging
Description: Fixed Rank Kriging is a tool for spatial/spatio-temporal modelling and prediction with large datasets. The approach models the field, and hence the covariance function, using a set of r basis functions, where r is typically much smaller than the number of data points (or polygons) m. This low-rank basis-function representation facilitates the modelling of 'big' spatial/spatio-temporal data. The method naturally allows for non-stationary, anisotropic covariance functions. Discretisation of the spatial domain into so-called basic areal units (BAUs) facilitates the use of observations with varying support (i.e., both point-referenced and areal supports, potentially simultaneously), and prediction over arbitrary user-specified regions. `FRK` also supports inference over various manifolds, including the 2D plane and 3D sphere, and it provides helper functions to model, fit, predict, and plot with relative ease. Version 2.0.0 and above of the package `FRK` also supports modelling of non-Gaus [...truncated...]
Author: Andrew Zammit-Mangion [aut, cre], Matthew Sainsbury-Dale [aut]
Maintainer: Andrew Zammit-Mangion <andrewzm@gmail.com>

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Package DescTools updated to version 0.99.46 with previous version 0.99.45 dated 2022-05-10

Title: Tools for Descriptive Statistics
Description: A collection of miscellaneous basic statistic functions and convenience wrappers for efficiently describing data. The author's intention was to create a toolbox, which facilitates the (notoriously time consuming) first descriptive tasks in data analysis, consisting of calculating descriptive statistics, drawing graphical summaries and reporting the results. The package contains furthermore functions to produce documents using MS Word (or PowerPoint) and functions to import data from Excel. Many of the included functions can be found scattered in other packages and other sources written partly by Titans of R. The reason for collecting them here, was primarily to have them consolidated in ONE instead of dozens of packages (which themselves might depend on other packages which are not needed at all), and to provide a common and consistent interface as far as function and arguments naming, NA handling, recycling rules etc. are concerned. Google style guides were used as naming rules (in ab [...truncated...]
Author: Andri Signorell [aut, cre], Ken Aho [ctb], Andreas Alfons [ctb], Nanina Anderegg [ctb], Tomas Aragon [ctb], Chandima Arachchige [ctb], Antti Arppe [ctb], Adrian Baddeley [ctb], Kamil Barton [ctb], Ben Bolker [ctb], Hans W. Borchers [ctb], Frederico C [...truncated...]
Maintainer: Andri Signorell <andri@signorell.net>

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Package wrappedtools updated to version 0.8.0 with previous version 0.7.9 dated 2021-09-06

Title: Useful Wrappers Around Commonly Used Functions
Description: The main functionalities of 'wrappedtools' are: adding backticks to variable names; rounding to desired precision with special case for p-values; selecting columns based on pattern and storing their position, name, and backticked name; computing and formatting of descriptive statistics (e.g. mean±SD), comparing groups and creating publication-ready tables with descriptive statistics and p-values; creating specialized plots for correlation matrices. Functions were mainly written for my own daily work or teaching, but may be of use to others as well.
Author: Andreas Busjahn [cre, aut] , Bilal Asser [aut]
Maintainer: Andreas Busjahn <andreas@busjahn.net>

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Package winch updated to version 0.0.9 with previous version 0.0.8 dated 2022-03-16

Title: Portable Native and Joint Stack Traces
Description: Obtain the native stack trace and fuse it with R's stack trace for easier debugging of R packages with native code.
Author: Kirill Mueller [aut, cre] , R Consortium [fnd], Ian Lance Taylor [aut] , Free Software Foundation [cph]
Maintainer: Kirill Mueller <kirill@cynkra.com>

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Package tfprobability updated to version 0.15.1 with previous version 0.15.0 dated 2022-02-02

Title: Interface to 'TensorFlow Probability'
Description: Interface to 'TensorFlow Probability', a 'Python' library built on 'TensorFlow' that makes it easy to combine probabilistic models and deep learning on modern hardware ('TPU', 'GPU'). 'TensorFlow Probability' includes a wide selection of probability distributions and bijectors, probabilistic layers, variational inference, Markov chain Monte Carlo, and optimizers such as Nelder-Mead, BFGS, and SGLD.
Author: Tomasz Kalinowski [ctb, cre], Sigrid Keydana [aut], Daniel Falbel [ctb], Kevin Kuo [ctb] , RStudio [cph]
Maintainer: Tomasz Kalinowski <tomasz.kalinowski@rstudio.com>

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Package piwikproR updated to version 0.4.0 with previous version 0.3.1 dated 2021-10-11

Title: Access 'Piwik Pro' Website Statistics
Description: Run Queries against the API of 'Piwik Pro' <https://developers.piwik.pro/en/latest/custom_reports/http_api/http_api.html>. The result is a tibble.
Author: Martin Stingl <martin.stingl@dfv.de>
Maintainer: Martin Stingl <martin.stingl@dfv.de>

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Package KODAMA updated to version 2.2 with previous version 2.1 dated 2022-08-20

Title: Knowledge Discovery by Accuracy Maximization
Description: An unsupervised and semi-supervised learning algorithm that performs feature extraction from noisy and high-dimensional data. It facilitates identification of patterns representing underlying groups on all samples in a data set. Based on Cacciatore S, Tenori L, Luchinat C, Bennett PR, MacIntyre DA. (2017) Bioinformatics <doi:10.1093/bioinformatics/btw705> and Cacciatore S, Luchinat C, Tenori L. (2014) Proc Natl Acad Sci USA <doi:10.1073/pnas.1220873111>.
Author: Stefano Cacciatore [aut, trl, cre] , Leonardo Tenori [aut]
Maintainer: Stefano Cacciatore <tkcaccia@gmail.com>

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Package influxdbclient updated to version 0.1.2 with previous version 0.1.1 dated 2022-08-24

Title: 'InfluxDB' 2.x Client
Description: 'InfluxDB' 2.x time-series database client. Supports both 'InfluxDB' OSS (<https://portal.influxdata.com/downloads/>) and Cloud (<https://cloud2.influxdata.com/>) version.
Author: Ales Pour <ales.pour@bonitoo.io>
Maintainer: Ales Pour <ales.pour@bonitoo.io>

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Package ggRandomForests updated to version 2.2.1 with previous version 2.2.0 dated 2022-05-10

Title: Visually Exploring Random Forests
Description: Graphic elements for exploring Random Forests using the 'randomForest' or 'randomForestSRC' package for survival, regression and classification forests and 'ggplot2' package plotting.
Author: John Ehrlinger <john.ehrlinger@gmail.com>
Maintainer: John Ehrlinger <john.ehrlinger@gmail.com>

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Package dreamer updated to version 3.1.0 with previous version 3.0.0 dated 2021-08-20

Title: Dose Response Models for Bayesian Model Averaging
Description: Fits (longitudinal) dose-response models utilizing a Bayesian model averaging approach as outlined in Gould (2019) <doi:10.1002/bimj.201700211> for both continuous and binary responses. Functions for plotting and calculating various posterior quantities (e.g. posterior mean, quantiles, probability of minimum efficacious dose, etc.) are also implemented. Copyright Eli Lilly and Company (2019).
Author: Richard Daniel Payne [aut, cre], William Michael Landau [rev], Mitch Thomann [rev], Eli Lilly and Company [cph]
Maintainer: Richard Daniel Payne <paynestatistics@gmail.com>

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Package dplyr updated to version 1.0.10 with previous version 1.0.9 dated 2022-04-28

Title: A Grammar of Data Manipulation
Description: A fast, consistent tool for working with data frame like objects, both in memory and out of memory.
Author: Hadley Wickham [aut, cre] , Romain Francois [aut] , Lionel Henry [aut], Kirill Mueller [aut] , RStudio [cph, fnd]
Maintainer: Hadley Wickham <hadley@rstudio.com>

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Package czso updated to version 0.3.10 with previous version 0.3.9 dated 2022-03-09

Title: Use Open Data from the Czech Statistical Office in R
Description: Get programmatic access to the open data provided by the Czech Statistical Office (CZSO, <https://czso.cz>).
Author: Petr Bouchal [aut, cre] , Jindra Lacko [ctb]
Maintainer: Petr Bouchal <pbouchal@gmail.com>

Diff between czso versions 0.3.9 dated 2022-03-09 and 0.3.10 dated 2022-09-01

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More information about czso at CRAN
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Package RcmdrPlugin.EZR updated to version 1.56 with previous version 1.55 dated 2022-01-04

Title: R Commander Plug-in for the EZR (Easy R) Package
Description: EZR (Easy R) adds a variety of statistical functions, including survival analyses, ROC analyses, metaanalyses, sample size calculation, and so on, to the R commander. EZR enables point-and-click easy access to statistical functions, especially for medical statistics. EZR is platform-independent and runs on Windows, Mac OS X, and UNIX. Its complete manual is available only in Japanese (Chugai Igakusha, ISBN: 978-4-498-10918-6, Nankodo, ISBN: 978-4-524-26158-1, Ohmsha, ISBN: 978-4-274-22632-8), but an report that introduced the investigation of EZR was published in Bone Marrow Transplantation (Nature Publishing Group) as an Open article. This report can be used as a simple manual. It can be freely downloaded from the journal website as shown below. This report has been cited in more than 3,000 scientific articles.
Author: Yoshinobu Kanda
Maintainer: Yoshinobu Kanda <ycanda-tky@umin.ac.jp>

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Package admiral.test updated to version 0.3.0 with previous version 0.2.0 dated 2022-05-30

Title: Test Data for the 'admiral' Package
Description: A set of Study Data Tabulation Model (SDTM) datasets from the Clinical Data Interchange Standards Consortium (CDISC) pilot project used for testing and developing Analysis Data Model (ADaM) derivations inside the 'admiral' package.
Author: Thomas Neitmann [aut, cre], Stefan Bundfuss [aut], Ross Farrugia [ctb], Gopi Vegesna [ctb], Sophie Shapcott [ctb], Mahdi About [ctb], Antonio Rodriguez [ctb], Claudia Carlucci [ctb], Annie Yang [ctb], F. Hoffmann-La Roche AG [cph, fnd], GlaxoSmithKli [...truncated...]
Maintainer: Thomas Neitmann <thomas.neitmann@roche.com>

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Package quanteda.textplots updated to version 0.94.2 with previous version 0.94.1 dated 2022-03-23

Title: Plots for the Quantitative Analysis of Textual Data
Description: Plotting functions for visualising textual data. Extends 'quanteda' and related packages with plot methods designed specifically for text data, textual statistics, and models fit to textual data. Plot types include word clouds, lexical dispersion plots, scaling plots, network visualisations, and word 'keyness' plots.
Author: Kenneth Benoit [cre, aut, cph] , Kohei Watanabe [aut] , Haiyan Wang [aut] , Adam Obeng [aut] , Stefan Mueller [aut] , Akitaka Matsuo [aut] , Ian Fellows [cph] ), European Research Council [fnd]
Maintainer: Kenneth Benoit <kbenoit@lse.ac.uk>

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Package blockmodeling updated to version 1.1.3 with previous version 1.0.5 dated 2021-09-02

Title: Generalized and Classical Blockmodeling of Valued Networks
Description: This is primarily meant as an implementation of generalized blockmodeling for valued networks. In addition, measures of similarity or dissimilarity based on structural equivalence and regular equivalence (REGE algorithms) can be computed and partitioned matrices can be plotted: Žiberna (2007)<doi:10.1016/j.socnet.2006.04.002>, Žiberna (2008)<doi:10.1080/00222500701790207>, Žiberna (2014)<doi:10.1016/j.socnet.2014.04.002>.
Author: Ales Žiberna [aut, cre]
Maintainer: Ales Žiberna <ales.ziberna@gmail.com>

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Package wdman updated to version 0.2.6 with previous version 0.2.5 dated 2020-01-31

Title: 'Webdriver'/'Selenium' Binary Manager
Description: There are a number of binary files associated with the 'Webdriver'/'Selenium' project. This package provides functions to download these binaries and to manage processes involving them.
Author: John Harrison [aut] , Ju Yeong Kim [cre]
Maintainer: Ju Yeong Kim <jkim2345@fredhutch.org>

Diff between wdman versions 0.2.5 dated 2020-01-31 and 0.2.6 dated 2022-09-01

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More information about wdman at CRAN
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Package binman updated to version 0.1.3 with previous version 0.1.2 dated 2020-10-02

Title: A Binary Download Manager
Description: Tools and functions for managing the download of binary files. Binary repositories are defined in 'YAML' format. Defining new pre-download, download and post-download templates allow additional repositories to be added.
Author: John Harrison [aut] , Ju Yeong Kim [cre]
Maintainer: Ju Yeong Kim <jkim2345@fredhutch.org>

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