Sun, 26 Jul 2020

Package tgstat (with last version 2.3.10) was removed from CRAN

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

2020-07-13 2.3.10

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New package zalpha with initial version 0.2.0
Package: zalpha
Type: Package
Title: Run a Suite of Selection Statistics
Version: 0.2.0
Author: Clare Horscroft
Maintainer: Clare Horscroft <c.horscroft@soton.ac.uk>
Description: A suite of statistics for identifying areas of the genome under selective pressure. See Jacobs, Sluckin and Kivisild (2016) <doi:10.1534/genetics.115.185900>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
RoxygenNote: 7.1.1
Suggests: testthat (>= 2.1.0), knitr, rmarkdown, fitdistrplus
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-07-22 12:31:42 UTC; ch19g17
Repository: CRAN
Date/Publication: 2020-07-26 23:10:02 UTC

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Package RTD updated to version 0.4.1 with previous version 0.1.1 dated 2019-01-02

Title: Simple TD API Client
Description: Upload R data.frame to Arm Treasure Data, see <https://www.treasuredata.com/>. You can execute database or table handling for resources on Arm Treasure Data.
Author: Aki Ariga [aut, cre, cph]
Maintainer: Aki Ariga <ariga@treasure-data.com>

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Package ropercenter updated to version 0.3.1 with previous version 0.3.0 dated 2020-07-21

Title: Reproducible Data Retrieval from the Roper Center Data Archive
Description: Reproducible, programmatic retrieval of datasets from the Roper Center data archive. The Roper Center for Public Opinion Research <https://ropercenter.cornell.edu> maintains the largest archive of public opinion data in existence, but researchers using these datasets are caught in a bind. The Center's terms and conditions bar redistribution of downloaded datasets, but to ensure that one's work can be reproduced, assessed, and built upon by others, one must provide access to the raw data one employed. The `ropercenter` package cuts this knot by providing registered users with programmatic, reproducible access to Roper Center datasets from within R.
Author: Frederick Solt [aut, cre, cph], Jennifer Lin [ctb], Paul Gronke [ctb]
Maintainer: Frederick Solt <frederick-solt@uiowa.edu>

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Package recluster updated to version 2.9 with previous version 2.8 dated 2015-03-06

Title: Ordination Methods for the Analysis of Beta-Diversity Indices
Description: The analysis of different aspects of biodiversity requires specific algorithms. For example, in regionalisation analyses, the high frequency of ties and zero values in dissimilarity matrices produced by Beta-diversity turnover produces hierarchical cluster dendrograms whose topology and bootstrap supports are affected by the order of rows in the original matrix. Moreover, visualisation of biogeographical regionalisation can be facilitated by a combination of hierarchical clustering and multi-dimensional scaling. The recluster package provides robust techniques to visualise and analyse pattern of biodiversity and to improve occurrence data for cryptic taxa. Other functions related to recluster (e.g. the biodecrypt family) are currently available in GitHub at <https://github.com/leondap/recluster>.
Author: Leonardo Dapporto, Matteo Ramazzotti, Simone Fattorini, Roger Vila, Gerard Talavera, Roger H.L. Dennis
Maintainer: Leonardo Dapporto <leondap@gmail.com>

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Package primes updated to version 0.2.0 with previous version 0.1.0 dated 2015-06-22

Title: Generate and Test for Prime Numbers
Description: Functions for dealing with prime numbers, such as testing whether a number is prime and generating a sequence prime numbers.
Author: Os Keyes [aut, cre], Paul Egeler [aut]
Maintainer: Os Keyes <ironholds@gmail.com>

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Package pdynmc updated to version 0.9.1 with previous version 0.9.0 dated 2020-05-07

Title: Moment Condition Based Estimation of Linear Dynamic Panel Data Models
Description: Linear dynamic panel data modeling based on linear and nonlinear moment conditions as proposed by Holtz-Eakin, Newey, and Rosen (1988) <doi:10.2307/1913103>, Ahn and Schmidt (1995) <doi:10.1016/0304-4076(94)01641-C>, and Arellano and Bover (1995) <doi:10.1016/0304-4076(94)01642-D>. Estimation of the model parameters relies on numerical optimization and the computation of closed form solutions. For inference and specification testing, Windmeijer (2005) <doi:10.1016/j.jeconom.2004.02.005> corrected standard errors, serial correlation tests, tests for overidentification, and Wald tests are available.
Author: Markus Fritsch [aut, cre], Joachim Schnurbus [aut], Andrew Adrian Yu Pua [aut]
Maintainer: Markus Fritsch <Markus.Fritsch@uni-Passau.de>

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Package MXM updated to version 1.4.8 with previous version 1.4.7 dated 2020-05-06

Title: Feature Selection (Including Multiple Solutions) and Bayesian Networks
Description: Many feature selection methods for a wide range of response variables, including minimal, statistically-equivalent and equally-predictive feature subsets. Bayesian network algorithms and related functions are also included. The package name 'MXM' stands for "Mens eX Machina", meaning "Mind from the Machine" in Latin. References: a) Lagani, V. and Athineou, G. and Farcomeni, A. and Tsagris, M. and Tsamardinos, I. (2017). Feature Selection with the R Package MXM: Discovering Statistically Equivalent Feature Subsets. Journal of Statistical Software, 80(7). <doi:10.18637/jss.v080.i07>. b) Tsagris, M., Lagani, V. and Tsamardinos, I. (2018). Feature selection for high-dimensional temporal data. BMC Bioinformatics, 19:17. <doi:10.1186/s12859-018-2023-7>. c) Tsagris, M., Borboudakis, G., Lagani, V. and Tsamardinos, I. (2018). Constraint-based causal discovery with mixed data. International Journal of Data Science and Analytics, 6(1): 19-30. <doi:10.1007/s41060-018-0097-y>. d) Tsagris, M., Papadovasilakis, Z., Lakiotaki, K. and Tsamardinos, I. (2018). Efficient feature selection on gene expression data: Which algorithm to use? BioRxiv. <doi:10.1101/431734>. e) Tsagris, M. (2019). Bayesian Network Learning with the PC Algorithm: An Improved and Correct Variation. Applied Artificial Intelligence, 33(2):101-123. <doi:10.1080/08839514.2018.1526760>. f) Tsagris, M. and Tsamardinos, I. (2019). Feature selection with the R package MXM. F1000Research 7: 1505. <doi:10.12688/f1000research.16216.2>. g) Borboudakis, G. and Tsamardinos, I. (2019). Forward-Backward Selection with Early Dropping. Journal of Machine Learning Research 20: 1-39.
Author: Michail Tsagris [aut, cre], Ioannis Tsamardinos [aut, cph], Vincenzo Lagani [aut, cph], Giorgos Athineou [aut], Giorgos Borboudakis [ctb], Anna Roumpelaki [ctb]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

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Package memochange updated to version 1.1.1 with previous version 1.1.0 dated 2019-11-26

Title: Testing for Structural Breaks under Long Memory and Testing for Changes in Persistence
Description: Test procedures and break point estimators for persistent processes that exhibit structural breaks in mean or in persistence. On the one hand the package contains the most popular approaches for testing whether a time series exhibits a break in persistence from I(0) to I(1) or vice versa, such as those of Busetti and Taylor (2004) and Leybourne, Kim, and Taylor (2007). The approach by Martins and Rodrigues (2014), which allows to detect changes from I(d1) to I(d2) with d1 and d2 being non-integers, is included as well. In case the tests reject the null of constant persistence, various breakpoint estimators are available to detect the point of the break as well as the order of integration in the two regimes. On the other hand the package contains the most popular approaches to test for a change-in-mean of a long-memory time series, which were recently reviewed by Wenger, Leschinski, and Sibbertsen (2018). These include memory robust versions of the CUSUM, sup-Wald, and Wilcoxon type tests. The tests either utilize consistent estimates of the long-run variance or a self normalization approach in their test statistics. Betken (2016) <doi:10.1111/jtsa.12187> Busetti and Taylor (2004) <doi:10.1016/j.jeconom.2003.10.028> Dehling, Rooch and Taqqu (2012) <doi:10.1111/j.1467-9469.2012.00799.x> Harvey, Leybourne and Taylor (2006) <doi:10.1016/j.jeconom.2005.07.002> Horvath and Kokoszka (1997) <doi:10.1016/S0378-3758(96)00208-X> Hualde and Iacone (2017) <doi:10.1016/j.econlet.2016.10.014> Iacone, Leybourne and Taylor (2014) <doi:10.1111/jtsa.12049> Leybourne, Kim, Smith, and Newbold (2003) <doi:10.1111/1368-423X.t01-1-00110> Leybourne and Taylor (2004) <doi:10.1016/j.econlet.2003.12.015> Leybourne, Kim, and Taylor (2007): <doi:10.1111/j.1467-9892.2006.00517.x> Martins and Rodrigues (2014) <doi:10.1016/j.csda.2012.07.021> Shao (2011) <doi:10.1111/j.1467-9892.2010.00717.x> Sibbertsen and Kruse (2009) <doi:10.1111/j.1467-9892.2009.00611.x> Wang (2008) <doi:10.1080/00949650701216604> Wenger, Leschinski and Sibbertsen (2018) <doi:10.1016/j.econlet.2017.12.007>.
Author: Janis Becker [aut], Kai Wenger [aut, cre]
Maintainer: Kai Wenger <kai.wenger@gmx.de>

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Package eRTG3D updated to version 0.6.3 with previous version 0.6.2 dated 2019-09-19

Title: Empirically Informed Random Trajectory Generation in 3-D
Description: Creates realistic random trajectories in a 3-D space between two given fix points, so-called conditional empirical random walks (CERWs). The trajectory generation is based on empirical distribution functions extracted from observed trajectories (training data) and thus reflects the geometrical movement characteristics of the mover. A digital elevation model (DEM), representing the Earth's surface, and a background layer of probabilities (e.g. food sources, uplift potential, waterbodies, etc.) can be used to influence the trajectories. Unterfinger M (2018). "3-D Trajectory Simulation in Movement Ecology: Conditional Empirical Random Walk". Master's thesis, University of Zurich. <https://www.geo.uzh.ch/dam/jcr:6194e41e-055c-4635-9807-53c5a54a3be7/MasterThesis_Unterfinger_2018.pdf>. Technitis G, Weibel R, Kranstauber B, Safi K (2016). "An algorithm for empirically informed random trajectory generation between two endpoints". GIScience 2016: Ninth International Conference on Geographic Information Science, 9, online. <doi:10.5167/uzh-130652>.
Author: Merlin Unterfinger [aut, cre] (<https://orcid.org/0000-0003-2020-2366>), Kamran Safi [ctb, ths], George Technitis [ctb, ths], Robert Weibel [ths]
Maintainer: Merlin Unterfinger <info@munterfinger.ch>

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New package bioseq with initial version 0.1.1
Package: bioseq
Type: Package
Title: A Toolbox for Manipulating Biological Sequences
Version: 0.1.1
Authors@R: c(person(given = "Francois", family = "Keck", role = c("aut", "cre", "cph"), email = "francois.keck@gmail.com", comment = c(ORCID = "0000-0002-3323-4167")) )
Maintainer: Francois Keck <francois.keck@gmail.com>
Description: Classes and functions to work with biological sequences (DNA, RNA and amino acid sequences). Implements S3 infrastructure to work with biological sequences. Provides a collection of functions to perform biological conversion among classes (transcription, translation) and basic operations on sequences (detection, selection and replacement based on positions or patterns). The package also provides functions to import and export sequences from and to other package formats.
License: GPL-3
URL: https://fkeck.github.io/bioseq/
BugReports: https://github.com/fkeck/bioseq/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.1.0)
Imports: methods, vctrs, tibble, ape, crayon, dplyr, pillar, stringr, readr, rlang
Suggests: knitr, rmarkdown, testthat (>= 2.1.0), covr
VignetteBuilder: knitr
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2020-07-20 15:38:22 UTC; francois
Author: Francois Keck [aut, cre, cph] (<https://orcid.org/0000-0002-3323-4167>)
Repository: CRAN
Date/Publication: 2020-07-26 23:00:09 UTC

More information about bioseq at CRAN
Permanent link

Package pez updated to version 1.2-1 with previous version 1.2-0 dated 2019-02-27

Title: Phylogenetics for the Environmental Sciences
Description: Eco-phylogenetic and community phylogenetic analyses. Keeps community ecological and phylogenetic data matched up and comparable using 'comparative.comm' objects. Wrappers for common community phylogenetic indices ('pez.shape', 'pez.evenness', 'pez.dispersion', and 'pez.dissimilarity' metrics). Implementation of Cavender-Bares (2004) correlation of phylogenetic and ecological matrices ('fingerprint.regression'). Phylogenetic Generalised Linear Mixed Models (PGLMMs; 'pglmm') following Ives & Helmus (2011) and Rafferty & Ives (2013). Simulation of null assemblages, traits, and phylogenies ('scape', 'sim.meta.comm').
Author: William D. Pearse, Marc W. Cadotte, Jeannine Cavender-Bares, Anthony R. Ives, Caroline Tucker, Steve C. Walker, Matthew R. Helmus
Maintainer: William D. Pearse <will.pearse@gmail.com>

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Package expss updated to version 0.10.6 with previous version 0.10.5 dated 2020-07-06

Title: Tables, Labels and Some Useful Functions from Spreadsheets and 'SPSS' Statistics
Description: Package computes and displays tables with support for 'SPSS'-style labels, multiple and nested banners, weights, multiple-response variables and significance testing. There are facilities for nice output of tables in 'knitr', 'Shiny', '*.xlsx' files, R and 'Jupyter' notebooks. Methods for labelled variables add value labels support to base R functions and to some functions from other packages. Additionally, the package brings popular data transformation functions from 'SPSS' Statistics and 'Excel': 'RECODE', 'COUNT', 'COMPUTE', 'DO IF', 'COUNTIF', 'VLOOKUP' and etc. These functions are very useful for data processing in marketing research surveys. Package intended to help people to move data processing from 'Excel' and 'SPSS' to R.
Author: Gregory Demin [aut, cre], Sebastian Jeworutzki [ctb] (<https://orcid.org/0000-0002-2671-5253>)
Maintainer: Gregory Demin <gdemin@gmail.com>

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Package psych updated to version 2.0.7 with previous version 1.9.12.31 dated 2020-01-08

Title: Procedures for Psychological, Psychometric, and Personality Research
Description: A general purpose toolbox for personality, psychometric theory and experimental psychology. Functions are primarily for multivariate analysis and scale construction using factor analysis, principal component analysis, cluster analysis and reliability analysis, although others provide basic descriptive statistics. Item Response Theory is done using factor analysis of tetrachoric and polychoric correlations. Functions for analyzing data at multiple levels include within and between group statistics, including correlations and factor analysis. Functions for simulating and testing particular item and test structures are included. Several functions serve as a useful front end for structural equation modeling. Graphical displays of path diagrams, factor analysis and structural equation models are created using basic graphics. Some of the functions are written to support a book on psychometric theory as well as publications in personality research. For more information, see the <https://personality-project.org/r> web page.
Author: William Revelle [aut, cre] (<https://orcid.org/0000-0003-4880-9610>)
Maintainer: William Revelle <revelle@northwestern.edu>

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Package wbstats updated to version 1.0.1 with previous version 0.2 dated 2018-01-03

Title: Programmatic Access to Data and Statistics from the World Bank API
Description: Search and download data from the World Bank Data API.
Author: Jesse Piburn [aut, cre] (<https://orcid.org/0000-0003-4967-7912>), UT-Battelle, LLC [cph]
Maintainer: Jesse Piburn <piburnjo@ornl.gov>

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Package fairness updated to version 1.1.1 with previous version 1.1.0 dated 2020-05-01

Title: Algorithmic Fairness Metrics
Description: Offers various metrics of algorithmic fairness. Fairness in machine learning is an emerging topic with the overarching aim to critically assess algorithms (predictive and classification models) whether their results reinforce existing social biases. While unfair algorithms can propagate such biases and offer prediction or classification results with a disparate impact on various sensitive subgroups of populations (defined by sex, gender, ethnicity, religion, income, socioeconomic status, physical or mental disabilities), fair algorithms possess the underlying foundation that these groups should be treated similarly / should have similar outcomes. The fairness R package offers the calculation and comparisons of commonly and less commonly used fairness metrics in population subgroups. These methods are described by Calders and Verwer (2010) <doi:10.1007/s10618-010-0190-x>, Chouldechova (2017) <doi:10.1089/big.2016.0047>, Feldman et al. (2015) <doi:10.1145/2783258.2783311> , Friedler et al. (2018) <doi:10.1145/3287560.3287589> and Zafar et al. (2017) <doi:10.1145/3038912.3052660>. The package also offers convenient visualizations to help understand fairness metrics.
Author: Nikita Kozodoi [aut, cre], Tibor V. Varga [aut] (<https://orcid.org/0000-0002-2383-699X>)
Maintainer: Nikita Kozodoi <n.kozodoi@icloud.com>

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Package AzureRMR updated to version 2.3.5 with previous version 2.3.4 dated 2020-06-10

Title: Interface to 'Azure Resource Manager'
Description: A lightweight but powerful R interface to the 'Azure Resource Manager' REST API. The package exposes a comprehensive class framework and related tools for creating, updating and deleting 'Azure' resource groups, resources and templates. While 'AzureRMR' can be used to manage any 'Azure' service, it can also be extended by other packages to provide extra functionality for specific services. Part of the 'AzureR' family of packages.
Author: Hong Ooi [aut, cre], Microsoft [cph]
Maintainer: Hong Ooi <hongooi@microsoft.com>

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Package wrswoR updated to version 1.1.1 with previous version 1.1 dated 2018-02-02

Title: Weighted Random Sampling without Replacement
Description: A collection of implementations of classical and novel algorithms for weighted sampling without replacement.
Author: Kirill Müller [aut, cre]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

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Package neonUtilities updated to version 1.3.6 with previous version 1.3.5 dated 2020-06-03

Title: Utilities for Working with NEON Data
Description: NEON data packages can be accessed through the NEON Data Portal <https://data.neonscience.org/home> or through the NEON Data API (see <https://data.neonscience.org/data-api> for documentation). Data delivered from the Data Portal are provided as monthly zip files packaged within a parent zip file, while individual files can be accessed from the API. This package provides tools that aid in discovering, downloading, and reformatting data prior to use in analyses. This includes downloading data via the API, merging data tables by type, and converting formats. For more information, see the readme file at <https://github.com/NEONScience/NEON-utilities>.
Author: Claire Lunch [aut, cre, ctb], Christine Laney [aut, ctb], Nathan Mietkiewicz [aut, ctb], Eric Sokol [aut, ctb], Kaelin Cawley [aut, ctb], NEON (National Ecological Observatory Network) [aut]
Maintainer: Claire Lunch <clunch@battelleecology.org>

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Package SpatialVx updated to version 0.6-6 with previous version 0.6-5 dated 2019-06-11

Title: Spatial Forecast Verification
Description: Spatial forecast verification arose from verifying high-resolution forecasts, where coarser-resolution models generally are favored even when a human forecaster finds the higher-resolution model to be considerably better. Most newly proposed methods, which largely come from image analysis, computer vision, and similar, are available, with more on the way.
Author: Eric Gilleland <EricG@ucar.edu>
Maintainer: Eric Gilleland <EricG@ucar.edu>

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Package UniprotR updated to version 1.4.0 with previous version 1.3.1 dated 2020-06-13

Title: Retrieving Information of Proteins from Uniprot
Description: Connect to Uniprot <https://www.uniprot.org/> to retrieve information about proteins using their accession number such information could be name or taxonomy information, For detailed information kindly read the publication <https://www.sciencedirect.com/science/article/pii/S1874391919303859>.
Author: Mohamed Soudy [aut, cre], Ali Mostafa [aut]
Maintainer: Mohamed Soudy <MohmedSoudy2009@gmail.com>

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Package rfishnet2 updated to version 0.2.0 with previous version 0.1.0 dated 2019-12-13

Title: Exploratory Data Analysis for FishNet2 Data
Description: Provides data processing and summarization of data from FishNet2.net in text and graphical outputs. Allows efficient filtering of information and data cleaning.
Author: Margaux Armfield email = margaux.armfield@gmail.com [aut], Kennedy Dorsey [aut, cre]
Maintainer: Kennedy Dorsey <kadorsey97@gmail.com>

Diff between rfishnet2 versions 0.1.0 dated 2019-12-13 and 0.2.0 dated 2020-07-26

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Package ClustImpute updated to version 0.1.5 with previous version 0.1.4 dated 2020-05-11

Title: K-means clustering with build-in missing data imputation
Description: This clustering algorithm deals with missing data via weights that are imposed on missings and successively increased. See the vignette for details.
Author: Oliver Pfaffel
Maintainer: Oliver Pfaffel <opfaffel@gmail.com>

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Package random.polychor.pa updated to version 1.1.4-4 with previous version 1.1.4-3 dated 2019-12-12

Title: A Parallel Analysis with Polychoric Correlation Matrices
Description: The Function performs a parallel analysis using simulated polychoric correlation matrices. The nth-percentile of the eigenvalues distribution obtained from both the randomly generated and the real data polychoric correlation matrices is returned. A plot comparing the two types of eigenvalues (real and simulated) will help determine the number of real eigenvalues that outperform random data. The function is based on the idea that if real data are non-normal and the polychoric correlation matrix is needed to perform a Factor Analysis, then the Parallel Analysis method used to choose a non-random number of factors should also be based on randomly generated polychoric correlation matrices and not on Pearson correlation matrices. Random data sets are simulated assuming or a uniform or a multinomial distribution or via the bootstrap method of resampling (i.e., random permutations of cases). Also Multigroup Parallel analysis is made available for random (uniform and multinomial distribution and with or without difficulty factor) and bootstrap methods. An option to choose between default or full output is also available as well as a parameter to print Fit Statistics (Chi-squared, TLI, RMSEA, RMR and BIC) for the factor solutions indicated by the Parallel Analysis. Also weighted correlation matrices may be considered for PA.
Author: Fabio Presaghi [aut, cre], Marta Desimoni [ctb]
Maintainer: Fabio Presaghi <fabio.presaghi@uniroma1.it>

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Package leafem updated to version 0.1.3 with previous version 0.1.1 dated 2020-04-05

Title: 'leaflet' Extensions for 'mapview'
Description: Provides extensions for packages 'leaflet' & 'mapdeck', many of which are used by package 'mapview'. Focus is on functionality readily available in Geographic Information Systems such as 'Quantum GIS'. Includes functions to display coordinates of mouse pointer position, query image values via mouse pointer and zoom-to-layer buttons. Additionally, provides a feature type agnostic function to add points, lines, polygons to a map.
Author: Tim Appelhans [cre, aut], Christoph Reudenbach [ctb], Kenton Russell [ctb], Jochen Darley [ctb], Daniel Montague [ctb] (Leaflet.EasyButton plugin), Lorenzo Busetto [ctb], Luigi Ranghetti [ctb], Miles McBain [ctb], Sebastian Gatscha [ctb], Björn Harrtell [ctb] (FlatGeobuf plugin), Daniel Dufour [ctb] (georaster-layer-for-leaflet)
Maintainer: Tim Appelhans <tim.appelhans@gmail.com>

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Package journalabbr updated to version 0.2.0 with previous version 0.1.0 dated 2020-07-14

Title: Journal Abbreviations for BibTeX Documents
Description: Since the reference management software (such as 'Zotero', 'Mendeley') exports Bib file journal abbreviation is not detailed enough, the 'journalabbr' package only abbreviates the journal field of Bib file, and then outputs a new Bib file for generating reference format with journal abbreviation on other software (such as 'texstudio'). The abbreviation table is from 'JabRef'. At the same time, 'Shiny' application is provided to generate 'thebibliography', a reference format that can be directly used for latex paper writing based on 'Rmd' files.
Author: ShuCai Zou [aut, cre], Yu Chen [aut]
Maintainer: ShuCai Zou <zscmoyujian@163.com>

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Package bigsparser updated to version 0.3.1 with previous version 0.2.3 dated 2020-07-03

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

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Package wrswoR.benchmark updated to version 0.2.1 with previous version 0.2 dated 2017-09-25

Title: Benchmark and Correctness Data for Weighted Random Sampling Without Replacement
Description: Includes performance measurements and results of repeated experiment runs (for correctness checks) for code in the 'wrswoR' package.
Author: Kirill Müller [aut, cre]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

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Package tableone updated to version 0.12.0 with previous version 0.11.2 dated 2020-07-13

Title: Create 'Table 1' to Describe Baseline Characteristics with or without Propensity Score Weights
Description: Creates 'Table 1', i.e., description of baseline patient characteristics, which is essential in every medical research. Supports both continuous and categorical variables, as well as p-values and standardized mean differences. Weighted data are supported via the 'survey' package. See 'github' for a screen cast.
Author: Kazuki Yoshida [cre, aut] (<https://orcid.org/0000-0002-2030-3549>), Alexander Bartel [ctb, aut] (<https://orcid.org/0000-0002-1280-6138>), Jonathan J Chipman [ctb], Justin Bohn [ctb], Lucy DAgostino McGowan [ctb], Malcolm Barrett [ctb], Rune Haubo B Christensen [ctb], gbouzill [ctb]
Maintainer: Kazuki Yoshida <kazukiyoshida@mail.harvard.edu>

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Package psychTools updated to version 2.0.6 with previous version 1.9.12 dated 2020-01-08

Title: Tools to Accompany the 'psych' Package for Psychological Research
Description: Support functions, data sets, and vignettes for the 'psych' package. Contains several of the biggest data sets for the 'psych' package as well as one vignette. A few helper functions for file manipulation are included as well. For more information, see the <https://personality-project.org/r> web page.
Author: William Revelle [aut, cre] (<https://orcid.org/0000-0003-4880-9610>)
Maintainer: William Revelle <revelle@northwestern.edu>

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Package highcharter updated to version 0.8.2 with previous version 0.7.0 dated 2019-01-15

Title: A Wrapper for the 'Highcharts' Library
Description: A wrapper for the 'Highcharts' library including shortcut functions to plot R objects. 'Highcharts' <http://www.highcharts.com/> is a charting library offering numerous chart types with a simple configuration syntax.
Author: Joshua Kunst [aut, cre], Nuno Agostinho [ctb] (hchart.survfit, densities and hc_add_series_scatter), Danton Noriega [ctb] (hcaes_), Martin John Hadley [ctb] (hc_add_event_point improvement), Eduardo Flores [ctb] (First version hc_add_series_df_tidy), Dean Kilfoyle [ctb] (First version hc_add_series_boxplot), Adline Dsilva [ctb] (First version Matrix heatmap), Kamil Slowikowski [ctb] (<https://orcid.org/0000-0002-2843-6370>), Christian Minich [ctb] (hcaes mutate_mapping improvement), Jonathan Armond [ctb] (mutate_mapping bugfix), David Breuer [ctb] (download_map_data quiet parameter), Mauricio Vargas [ctb] (tests and gh-actions), Michael Yan [ctb] (Motivational example for treemap/sunburst data helper), Bart Oortwijn [ctb] (rjson option, hc_add_yAxis, and GH issues collaborator)
Maintainer: Joshua Kunst <jbkunst@gmail.com>

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 highcharter-0.8.2/highcharter/man/usgeojson.Rd                          |   32 
 highcharter-0.8.2/highcharter/man/vaccines.Rd                           |   56 
 highcharter-0.8.2/highcharter/man/weather.Rd                            |   54 
 highcharter-0.8.2/highcharter/man/worldgeojson.Rd                       |   32 
 219 files changed, 6388 insertions(+), 5866 deletions(-)

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Package gravity (with last version 0.9.8) was removed from CRAN

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2019-05-08 0.9.8
2019-04-21 0.9.7
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2017-12-14 0.6
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2017-01-31 0.3

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Package StockChina (with last version 0.3.1) was removed from CRAN

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2016-01-30 0.3.1
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2017-08-14 1.0

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2020-06-02 1.3
2017-11-22 1.2
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2017-02-09 1.6.7
2016-09-26 1.6.6
2016-01-26 1.6.5
2015-06-25 1.6.0
2014-10-28 1.5
2014-04-10 1.4
2013-12-03 1.3
2013-09-09 1.2
2013-07-24 1.1

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Package lmmlasso (with last version 0.1-2) was removed from CRAN

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2011-04-15 0.1-2

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2019-02-05 1.0.1

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