Tue, 16 Feb 2021

Package gnomonicM updated to version 1.0.1 with previous version 1.0.0 dated 2020-11-09

Title: Estimate Natural Mortality for Different Life Stages
Description: Estimate natural mortality (M) throughout the life history for organisms, mainly fish and invertebrates, based on gnomonic interval approach proposed by Caddy (1996) <doi:10.1051/alr:1996023> and Martinez-Aguilar et al. (2005) <doi:10.1016/j.fishres.2004.04.008>. It includes estimation of duration of each gnomonic interval (life stage), the constant probability of death (G), and some basic plots.
Author: Josymar Torrejon-Magallanes [cre, aut]
Maintainer: Josymar Torrejon-Magallanes <ejosymart@gmail.com>

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Package EcotoneFinder updated to version 0.2.3 with previous version 0.2.2 dated 2020-11-23

Title: Characterising and Locating Ecotones and Communities
Description: Analytical methods to locate and characterise ecotones, ecosystems and environmental patchiness along ecological gradients. Methods are implemented for isolated sampling or for space/time series. It includes Detrended Correspondence Analysis (Hill & Gauch (1980) <doi:10.1007/BF00048870>), fuzzy clustering (De Cáceres et al. (2010) <doi:10.1080/01621459.1963.10500845>), biodiversity indices (Jost (2006) <doi:10.1111/j.2006.0030-1299.14714.x>), and network analyses (Epskamp et al. (2012) <doi:10.18637/jss.v048.i04>) - as well as tools to explore the number of clusters in the data. Functions to produce synthetic ecological datasets are also provided.
Author: Antoine Bagnaro
Maintainer: Antoine Bagnaro <antoine.bagnaro@wanadoo.fr>

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Package sdcLog updated to version 0.2.0 with previous version 0.1.0 dated 2020-11-20

Title: Tools for Statistical Disclosure Control in Research Data Centers
Description: Tools for researchers to explicitly show that their results comply to rules for statistical disclosure control imposed by research data centers. These tools help in checking descriptive statistics and models and in calculating extreme values that are not individual data. Also included is a simple function to create log files. The methods used here are described in the "Guidelines for the checking of output based on microdata research" by Bond, Brandt, and de Wolf (2015) <https://ec.europa.eu/eurostat/cros/system/files/dwb_standalone-document_output-checking-guidelines.pdf>.
Author: Matthias Gomolka [aut, cre], Tim Becker [aut]
Maintainer: Matthias Gomolka <matthias.gomolka@posteo.de>

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Package StratigrapheR updated to version 1.2.0 with previous version 1.1.2 dated 2021-01-04

Title: Integrated Stratigraphy
Description: Includes bases for litholog generation: graphical functions based on R base graphics, interval management functions and svg importation functions among others. Also include stereographic projection functions, and other functions made to deal with large datasets while keeping options to get into the details of the data. When using for publication please cite Wouters, S., Da Silva, A.C. Crucifix, M., Sinnesael, M., Zivanovic, M., Boulvain, F., Devleeschouwer, X., 2019, Litholog generation with the StratigrapheR package and signal decomposition for cyclostratigraphic purposes. Geophysical Research Abstracts Vol. 21, EGU2019-5520, 2019, EGU General Assembly 2019. <http://hdl.handle.net/2268/234402> The palaeomagnetism functions are based on: Tauxe, L., 2010. Essentials of Paleomagnetism. University of California Press. <https://earthref.org/MagIC/books/Tauxe/Essentials/>; Allmendinger, R. W., Cardozo, N. C., and Fisher, D., 2013, Structural Geology Algorithms: Vectors & Tensors: Cambridge, England, Cambridge University Press, 289 pp.; Cardozo, N., and Allmendinger, R. W., 2013, Spherical projections with OSXStereonet: Computers & Geosciences, v. 51, no. 0, p. 193 - 205, <doi: 10.1016/j.cageo.2012.07.021>.
Author: Sebastien Wouters [aut, cre], Adam D. Smith [ctb]
Maintainer: Sebastien Wouters <sebastien.wouters@doct.uliege.be>

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Package modelsummary updated to version 0.6.6 with previous version 0.6.5 dated 2021-01-07

Title: Summary Tables and Plots for Statistical Models and Data: Beautiful, Customizable, and Publication-Ready
Description: Create beautiful and customizable tables to summarize several statistical models side-by-side. Draw coefficient plots, multi-level cross-tabs, dataset summaries, balance tables (a.k.a. "Table 1s"), and correlation matrices. This package supports dozens of statistical models, and it can produce tables in HTML, LaTeX, Word, Markdown, PDF, PowerPoint, Excel, RTF, JPG, or PNG. Tables can easily be embedded in 'Rmarkdown' or 'knitr' dynamic documents.
Author: Vincent Arel-Bundock [aut, cre] (<https://orcid.org/0000-0003-2042-7063>)
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>

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Package srt updated to version 1.0.2 with previous version 1.0.0 dated 2020-11-30

Title: Read Subtitle Files as Tabular Data
Description: Read 'SubRip' <https://sourceforge.net/projects/subrip/> subtitle files as data frames for easy text analysis or manipulation. Easily shift numeric timings and export subtitles back into valid 'SubRip' timestamp format to sync subtitles and audio.
Author: Kiernan Nicholls [aut, cre]
Maintainer: Kiernan Nicholls <kiernann@protonmail.com>

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Package ropenblas updated to version 0.2.9 with previous version 0.2.8 dated 2020-09-19

Title: Download, Compile and Link 'OpenBLAS' Library with R
Description: The 'ropenblas' package (<https://prdm0.github.io/ropenblas/>) is useful for users of any 'GNU/Linux' distribution. It will be possible to download, compile and link the 'OpenBLAS' library (<https://www.openblas.net/>) with the R language, always by the same procedure, regardless of the 'GNU/Linux' distribution used. With the 'ropenblas' package it is possible to download, compile and link the latest version of the 'OpenBLAS' library even the repositories of the 'GNU/Linux' distribution used do not include the latest versions of 'OpenBLAS'. If of interest, older versions of the 'OpenBLAS' library may be considered. Linking R with an optimized version of 'BLAS' (<http://www.netlib.org/blas/>) may improve the computational performance of R code. The 'OpenBLAS' library is an optimized implementation of 'BLAS' that can be easily linked to R with the 'ropenblas' package.
Author: Pedro Rafael D. Marinho [aut, cre]
Maintainer: Pedro Rafael D. Marinho <pedro.rafael.marinho@gmail.com>

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Package mgcv updated to version 1.8-34 with previous version 1.8-33 dated 2020-08-27

Title: Mixed GAM Computation Vehicle with Automatic Smoothness Estimation
Description: Generalized additive (mixed) models, some of their extensions and other generalized ridge regression with multiple smoothing parameter estimation by (Restricted) Marginal Likelihood, Generalized Cross Validation and similar, or using iterated nested Laplace approximation for fully Bayesian inference. See Wood (2017) <doi:10.1201/9781315370279> for an overview. Includes a gam() function, a wide variety of smoothers, 'JAGS' support and distributions beyond the exponential family.
Author: Simon Wood <simon.wood@r-project.org>
Maintainer: Simon Wood <simon.wood@r-project.org>

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Package IPDFileCheck updated to version 0.6.5 with previous version 0.6.4 dated 2020-11-20

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

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Package helminthR updated to version 1.0.8 with previous version 1.0.7 dated 2019-02-03

Title: Access London Natural History Museum Host-Helminth Record Database
Description: Access to large host-parasite data is often hampered by the availability of data and difficulty in obtaining it in a programmatic way to encourage analyses. 'helminthR' provides a programmatic interface to the London Natural History Museum's host-parasite database, one of the largest host-parasite databases existing currently <https://www.nhm.ac.uk/research-curation/scientific-resources/taxonomy-systematics/host-parasites/>. The package allows the user to query by host species, parasite species, and geographic location.
Author: Tad Dallas
Maintainer: Tad Dallas <tad.a.dallas@gmail.com>

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Package FSelector updated to version 0.33 with previous version 0.32 dated 2021-01-07

Title: Selecting Attributes
Description: Functions for selecting attributes from a given dataset. Attribute subset selection is the process of identifying and removing as much of the irrelevant and redundant information as possible.
Author: Piotr Romanski, Lars Kotthoff, Patrick Schratz
Maintainer: Lars Kotthoff <larsko@uwyo.edu>

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Package EGAnet updated to version 0.9.8 with previous version 0.9.6 dated 2020-07-13

Title: Exploratory Graph Analysis - A Framework for Estimating the Number of Dimensions in Multivariate Data Using Network Psychometrics
Description: Implements the Exploratory Graph Analysis (EGA) framework for dimensionality and psychometric assessment. EGA is part of a new area called network psychometrics that uses undirected network models for the assessment of psychometric properties. EGA estimates the number of dimensions (or factors) using graphical lasso or Triangulated Maximally Filtered Graph (TMFG) and a weighted network community detection algorithm. A bootstrap method for verifying the stability of the dimensions and items in those dimensions is available. The fit of the structure suggested by EGA can be verified using Entropy Fit Indices. A novel approach called Unique Variable Analysis (UVA) can be used to identify and reduce redundant variables in multivariate data. Network loadings, which are roughly equivalent to factor loadings when the data generating model is a factor model, are available. Network scores can also be computed using the network loadings. Dynamic EGA (dynEGA) will estimate dimensions from time series data for individual, group, and sample levels. Golino, H., & Epskamp, S. (2017) <doi:10.1371/journal.pone.0174035>. Golino, H., Shi, D., Christensen, A. P., Garrido, L. E., Nieto, M. D., Sadana, R., & Thiyagarajan, J. A. (2020) <doi:10.1037/met0000255>. Christensen, A. P., & Golino, H. (under review) <doi:10.31234/osf.io/hz89e>. Golino, H., Moulder, R. G., Shi, D., Christensen, A. P., Garrido, L. E., Nieto, M. D., Nesselroade, J., Sadana, R., Thiyagarajan, J. A., & Boker, S. M. (2020) <doi:10.31234/osf.io/mtka2>. Christensen, A. P. & Golino, H. (2019) <doi:10.31234/osf.io/9deay>. Christensen, A. P., Garrido, L. E., & Golino, H. (under review) <doi:10.31234/osf.io/4kra2>. Golino, H., Christensen, A. P., Moulder, R. G., Kim, S., & Boker, S. M. (under review) <doi:10.31234/osf.io/tfs7c>.
Author: Hudson Golino [aut, cre] (<https://orcid.org/0000-0002-1601-1447>), Alexander Christensen [aut] (<https://orcid.org/0000-0002-9798-7037>), Robert Moulder [ctb] (<https://orcid.org/0000-0001-7504-9560>), Luis E. Garrido [ctb] (<https://orcid.org/0000-0001-8932-6063>)
Maintainer: Hudson Golino <hfg9s@virginia.edu>

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Package survidm updated to version 1.3.0 with previous version 1.2.0 dated 2019-01-07

Title: Inference and Prediction in an Illness-Death Model
Description: Newly developed methods for the estimation of several probabilities in an illness-death model. The package can be used to obtain nonparametric and semiparametric estimates for: transition probabilities, occupation probabilities, cumulative incidence function and the sojourn time distributions. Additionally, it is possible to fit proportional hazards regression models in each transition of the Illness-Death Model. Several auxiliary functions are also provided which can be used for marginal estimation of the survival functions.
Author: Luis Meira-Machado, Marta Sestelo and Gustavo Soutinho
Maintainer: Marta Sestelo <sestelo@uvigo.es>

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Package spatstat.gui updated to version 1.2-0 with previous version 1.0-2 dated 2020-03-19

Title: Interactive Graphics Functions for the 'spatstat' Package
Description: Extension to the 'spatstat' package, containing interactive graphics capabilities.
Author: Adrian Baddeley [aut, cre] (<https://orcid.org/0000-0001-9499-8382>), Rolf Turner [aut] (<https://orcid.org/0000-0001-5521-5218>), Ege Rubak [aut] (<https://orcid.org/0000-0002-6675-533X>)
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package rkeops updated to version 1.4.2 with previous version 1.4.1.1 dated 2020-09-04

Title: Kernel Operations on GPU or CPU, with Autodiff, without Memory Overflows
Description: The 'KeOps' library lets you compute generic reductions of very large arrays whose entries are given by a mathematical formula with CPU and GPU computing support. It combines a tiled reduction scheme with an automatic differentiation engine. It is perfectly suited to the efficient computation of Kernel dot products and the associated gradients, even when the full kernel matrix does not fit into the GPU memory.
Author: Benjamin Charlier [aut] (<http://imag.umontpellier.fr/~charlier/>), Jean Feydy [aut] (<https://www.math.ens.fr/~feydy/>), Joan A. Glaunès [aut] (<https://www.mi.parisdescartes.fr/~glaunes/>), Ghislain Durif [aut, cre] (<https://gdurif.perso.math.cnrs.fr/>), François-David Collin [ctb] (Development-related consulting and support), Daniel Frey [ctb] (Author of the included C++ library 'sequences')
Maintainer: Ghislain Durif <gd.dev@libertymail.net>

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Package reportfactory updated to version 0.1.3 with previous version 0.1.2 dated 2021-01-24

Title: Lightweight Infrastructure for Handling Multiple R Markdown Documents
Description: Provides an infrastructure for handling multiple R Markdown reports, including automated curation and time-stamping of outputs, parameterisation and provision of helper functions to manage dependencies.
Author: Thibaut Jombart [aut], Amy Gimma [ctb], Tim Taylor [aut, cre] (<https://orcid.org/0000-0002-8587-7113>)
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>

Diff between reportfactory versions 0.1.2 dated 2021-01-24 and 0.1.3 dated 2021-02-16

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New package pubh with initial version 1.1.20
Package: pubh
Title: A Toolbox for Public Health and Epidemiology
Version: 1.1.20
Authors@R: c( person("Josie", "Athens", email = "josie.athens@otago.ac.nz", role = c("aut", "cre")), person("Frank", "Harell", email = "f.harrell@vanderbilt.edu", role = "ctb"), person("John", "Fox", email = "jfox@mcmaster.ca", role = "ctb"), person("R-Core", role="ctb"))
Maintainer: Josie Athens <josie.athens@otago.ac.nz>
Description: A toolbox for making R functions and capabilities more accessible to students and professionals from Epidemiology and Public Health related disciplines. Includes a function to report coefficients and confidence intervals from models using robust standard errors (when available), functions that expand 'ggplot2' plots and functions relevant for introductory papers in Epidemiology or Public Health. Please note that use of the provided data sets is for educational purposes only.
Depends: R (>= 4.0.0), emmeans, ggformula, magrittr, stats
Imports: car, dplyr, Epi, epiR, epitools, ggplot2, Hmisc, huxtable, lmtest, moonBook, sandwich, sjlabelled, sjmisc, sjPlot, survival, tibble, tidyselect
Suggests: broom, bookdown, GGally, ggeffects, ggfortify, ggpubr, ggsci, haven, ISwR, jtools, knitr, latex2exp, lme4, MASS, mosaic, nlme, nnet, performance, psych, reshape2, rmarkdown, rms, scales, tidyverse
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
VignetteBuilder: knitr
URL: https://github.com/josie-athens/pubh
BugReports: https://github.com/josie-athens/pubh/issues
NeedsCompilation: no
Packaged: 2021-02-15 20:48:08 UTC; josie
Author: Josie Athens [aut, cre], Frank Harell [ctb], John Fox [ctb], R-Core [ctb]
Repository: CRAN
Date/Publication: 2021-02-16 17:30:06 UTC

More information about pubh at CRAN
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Package neutralitytestr updated to version 0.0.3 with previous version 0.0.2 dated 2018-05-21

Title: Test for a Neutral Evolutionary Model in Cancer Sequencing Data
Description: Package takes frequencies of mutations as reported by high throughput sequencing data from cancer and fits a theoretical neutral model of tumour evolution. Package outputs summary statistics and contains code for plotting the data and model fits. See Williams et al 2016 <doi:10.1038/ng.3489> and Williams et al 2017 <doi:10.1101/096305> for further details of the method.
Author: Marc Williams [aut, cre]
Maintainer: Marc Williams <marcjwilliams1@gmail.com>

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Package lillies updated to version 0.2.9 with previous version 0.2.8 dated 2020-11-03

Title: Estimation of Life Years Lost
Description: Estimation of life expectancy and Life Years Lost (LYL, or lillies for short) for a given population, for example those with a given disease or condition. In addition, the package can be used to compare estimates from different populations, or to estimate confidence intervals. Technical details of the method are available in Plana-Ripoll et al. (2020) <doi:10.1371/journal.pone.0228073> and Andersen (2017) <doi:10.1002/sim.7357>.
Author: Oleguer Plana-Ripoll [aut, cre] (<https://orcid.org/0000-0002-6470-7465>)
Maintainer: Oleguer Plana-Ripoll <opr@econ.au.dk>

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Package ICtest updated to version 0.3-3 with previous version 0.3-2 dated 2019-08-23

Title: Estimating and Testing the Number of Interesting Components in Linear Dimension Reduction
Description: For different linear dimension reduction methods like principal components analysis (PCA), independent components analysis (ICA) and supervised linear dimension reduction tests and estimates for the number of interesting components (ICs) are provided.
Author: Klaus Nordhausen [aut, cre] (<https://orcid.org/0000-0002-3758-8501>), Hannu Oja [aut] (<https://orcid.org/0000-0002-4945-5976>), David E. Tyler [aut], Joni Virta [aut] (<https://orcid.org/0000-0002-2150-2769>)
Maintainer: Klaus Nordhausen <klaus.k.nordhausen@jyu.fi>

Diff between ICtest versions 0.3-2 dated 2019-08-23 and 0.3-3 dated 2021-02-16

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Package gasper updated to version 1.1.1 with previous version 1.1.0 dated 2021-02-09

Title: Graph Signal Processing
Description: Provides the standard operations for signal processing on graphs: graph Fourier transform, spectral graph wavelet transform, visualization tools. It also implements a data driven method for graph signal denoising/regression, for details see De Loynes, Navarro, Olivier (2019) <arxiv:1906.01882>. The package also provides an interface to the SuiteSparse Matrix Collection, <https://sparse.tamu.edu/>, a large and widely used set of sparse matrix benchmarks collected from a wide range of applications.
Author: Fabien Navarro [aut, cre], Basile De Loynes [aut], Baptiste Olivier [aut]
Maintainer: Fabien Navarro <fabien.navarro@math.cnrs.fr>

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Package distr6 updated to version 1.5.0 with previous version 1.4.8 dated 2020-12-12

Title: The Complete R6 Probability Distributions Interface
Description: An R6 object oriented distributions package. Unified interface for 42 probability distributions and 11 kernels including functionality for multiple scientific types. Additionally functionality for composite distributions and numerical imputation. Design patterns including wrappers and decorators are described in Gamma et al. (1994, ISBN:0-201-63361-2). For quick reference of probability distributions including d/p/q/r functions and results we refer to McLaughlin, M. P. (2001). Additionally Devroye (1986, ISBN:0-387-96305-7) for sampling the Dirichlet distribution, Gentle (2009) <doi:10.1007/978-0-387-98144-4> for sampling the Multivariate Normal distribution and Michael et al. (1976) <doi:10.2307/2683801> for sampling the Wald distribution.
Author: Raphael Sonabend [aut, cre] (<https://orcid.org/0000-0001-9225-4654>), Franz Kiraly [aut], Peter Ruckdeschel [ctb] (Author of distr), Matthias Kohl [ctb] (Author of distr), Nurul Ain Toha [ctb], Shen Chen [ctb], Jordan Deenichin [ctb], Chengyang Gao [ctb], Chloe Zhaoyuan Gu [ctb], Yunjie He [ctb], Xiaowen Huang [ctb], Shuhan Liu [ctb], Runlong Yu [ctb], Chijing Zeng [ctb], Qian Zhou [ctb]
Maintainer: Raphael Sonabend <raphael.sonabend.15@ucl.ac.uk>

Diff between distr6 versions 1.4.8 dated 2020-12-12 and 1.5.0 dated 2021-02-16

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Package deldir updated to version 0.2-10 with previous version 0.2-9 dated 2021-01-16

Title: Delaunay Triangulation and Dirichlet (Voronoi) Tessellation
Description: Calculates the Delaunay triangulation and the Dirichlet or Voronoi tessellation (with respect to the entire plane) of a planar point set. Plots triangulations and tessellations in various ways. Clips tessellations to sub-windows. Calculates perimeters of tessellations. Summarises information about the tiles of the tessellation. Calculates the centroidal Voronoi (Dirichlet) tessellation using Lloyd's algorithm.
Author: Rolf Turner
Maintainer: Rolf Turner <r.turner@auckland.ac.nz>

Diff between deldir versions 0.2-9 dated 2021-01-16 and 0.2-10 dated 2021-02-16

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Package backbone updated to version 1.3.1 with previous version 1.3.0 dated 2021-02-02

Title: Extracts the Backbone from Weighted Graphs
Description: Provides methods for extracting from a weighted graph a binary or signed backbone that retains only the significant edges. The user may input a weighted graph, or a bipartite graph from which a weighted graph is first constructed via projection. Backbone extraction methods include the stochastic degree sequence model (Neal, Z. P. (2014). <doi:10.1016/j.socnet.2014.06.001>), hypergeometric model (Neal, Z. (2013). <doi:10.1007/s13278-013-0107-y>), the fixed degree sequence model (Zweig, K. A., and Kaufmann, M. (2011). <doi:10.1007/s13278-011-0021-0>), as well as a universal threshold method.
Author: Rachel Domagalski [aut, cre], Zachary Neal [aut], Bruce Sagan [aut]
Maintainer: Rachel Domagalski <domagal9@msu.edu>

Diff between backbone versions 1.3.0 dated 2021-02-02 and 1.3.1 dated 2021-02-16

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New package AdvancedBasketballStats with initial version 1.0.0
Package: AdvancedBasketballStats
Type: Package
Date: 2021-02-07
Title: Advanced Basketball Statistics
Version: 1.0.0
Authors@R: c( person("Francisco Javier Cantero", role = c("aut","cre"), email = "fco.cantero@edu.uah.es"), person("Juan Jose Cuadrado", role = c("aut"), email = "jjcg@uah.es"), person("Universidad de Alcala de Henares", role = c("aut")) )
Author: Francisco Javier Cantero [aut, cre], Juan Jose Cuadrado [aut], Universidad de Alcala de Henares [aut]
Maintainer: Francisco Javier Cantero <fco.cantero@edu.uah.es>
Description: Provides different functionalities and calculations used in the world of basketball to analyze the statistics of the players, the statistics of the teams, the statistics of the quintets and the statistics of the plays. For more details of the calculations included in the package can be found in the book Basketball on Paper written by Dean Oliver.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-02-07 12:40:25 UTC; Javier Cantero
Repository: CRAN
Date/Publication: 2021-02-16 17:10:27 UTC

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Package yamlet updated to version 0.6.9 with previous version 0.6.5 dated 2021-02-15

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

Diff between yamlet versions 0.6.5 dated 2021-02-15 and 0.6.9 dated 2021-02-16

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Package puls updated to version 0.1.2 with previous version 0.1.1 dated 2020-12-09

Title: Partitioning Using Local Subregions
Description: A method of clustering functional data using subregion information of the curves. It is intended to supplement the 'fda' and 'fda.usc' packages in functional data object clustering. It also facilitates the printing and plotting of the results in a tree format and limits the partitioning candidates into a specific set of subregions.
Author: Mark Greenwood [aut] (<https://orcid.org/0000-0001-6933-1201>), Tan Tran [aut, cre] (<https://orcid.org/0000-0001-9881-6339>)
Maintainer: Tan Tran <vinhtantran@gmail.com>

Diff between puls versions 0.1.1 dated 2020-12-09 and 0.1.2 dated 2021-02-16

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Package MetaLandSim updated to version 1.0.8 with previous version 1.0.7 dated 2020-06-02

Title: Landscape and Range Expansion Simulation
Description: Tools to generate random landscape graphs, evaluate species occurrence in dynamic landscapes, simulate future landscape occupation and evaluate range expansion when new empty patches are available (e.g. as a result of climate change). References: Mestre, F., Canovas, F., Pita, R., Mira, A., Beja, P. (2016) <doi:10.1016/j.envsoft.2016.03.007>; Mestre, F., Risk, B., Mira, A., Beja, P., Pita, R. (2017) <doi:10.1016/j.ecolmodel.2017.06.013>; Mestre, F., Pita, R., Mira, A., Beja, P. (2020) <doi:10.1186/s12898-019-0273-5>.
Author: Frederico Mestre, Fernando Canovas, Benjamin Risk, Ricardo Pita, Antonio Mira, Pedro Beja.
Maintainer: Frederico Mestre <mestre.frederico@gmail.com>

Diff between MetaLandSim versions 1.0.7 dated 2020-06-02 and 1.0.8 dated 2021-02-16

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Package manymodelr updated to version 0.3.5 with previous version 0.3.2 dated 2020-06-27

Title: Build and Tune Several Models
Description: Frequently one needs a convenient way to build and tune several models in one go.The goal is to provide a number of machine learning convenience functions. It provides the ability to build, tune and obtain predictions of several models in one function. The models are built using 'caret' functions with easier to read syntax. Kuhn(2014) <arXiv:1405.6974>.
Author: Nelson Gonzabato [aut, cre]
Maintainer: Nelson Gonzabato <gonzabato@hotmail.com>

Diff between manymodelr versions 0.3.2 dated 2020-06-27 and 0.3.5 dated 2021-02-16

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New package bp with initial version 1.0.0
Package: bp
Type: Package
Title: Blood Pressure Analysis in R
Version: 1.0.0
Authors@R: person("John","Schwenck", email = "jschwenck12@gmail.com", role = c("aut", "cre"))
Maintainer: John Schwenck <jschwenck12@gmail.com>
Description: A comprehensive package to aid in the analysis of blood pressure data of all forms by providing both descriptive and visualization tools for researchers.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: dplyr, magrittr, lubridate, ggplot2, gridExtra, cowplot, paletteer, scales, tibble, png, tidyselect, gtable
Depends: R (>= 3.5.0)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2021-02-14 04:41:10 UTC; John
Author: John Schwenck [aut, cre]
Repository: CRAN
Date/Publication: 2021-02-16 16:10:02 UTC

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New package rando with initial version 0.2.0
Type: Package
Package: rando
Title: Context Aware Random Numbers
Version: 0.2.0
Authors@R: person(given = "Michael", family = "Barrowman", role = c("cre", "aut"), email = "myko101ab@gmail.com")
Description: Provides random number generating functions that are much more context aware than the built-in functions. The functions are also much safer, as they check for incompatible values, and more reproducible.
Language: en-GB
License: MIT + file LICENSE
URL: https://github.com/MyKo101/rando
BugReports: https://github.com/MyKo101/rando/issues
Imports: dplyr, glue, rlang, stats, tibble
Suggests: spelling, covr, testthat
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-01-23 21:06:57 UTC; mbrxsmbc
Author: Michael Barrowman [cre, aut]
Maintainer: Michael Barrowman <myko101ab@gmail.com>
Repository: CRAN
Date/Publication: 2021-02-16 15:40:02 UTC

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New package flipr with initial version 0.1.0
Package: flipr
Title: Flexible Inference via Permutations in R
Version: 0.1.0
Authors@R: c( person(given = "Alessia", family = "Pini", role = "aut", email = "alessia.pini@unicatt.it"), person(given = "Aymeric", family = "Stamm", role = c("aut", "cre"), email = "aymeric.stamm@math.cnrs.fr", comment = c(ORCID = "0000-0002-8725-3654")), person(given = "Simone", family = "Vantini", role = "aut", email = "simone.vantini@polimi.it"))
Description: A flexible permutation framework for hypothesis testing, ANOVA and regression analysis of complex data.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: purrr, rlang, magrittr
Suggests: rmarkdown, knitr, covr, tidyverse, plotly, htmlwidgets, htmltools
VignetteBuilder: knitr
URL: https://astamm.github.io/flipr/, https://github.com/astamm/flipr/
BugReports: https://github.com/astamm/flipr/issues/
NeedsCompilation: no
Packaged: 2021-02-13 22:12:44 UTC; stamm-a
Author: Alessia Pini [aut], Aymeric Stamm [aut, cre] (<https://orcid.org/0000-0002-8725-3654>), Simone Vantini [aut]
Maintainer: Aymeric Stamm <aymeric.stamm@math.cnrs.fr>
Repository: CRAN
Date/Publication: 2021-02-16 15:50:03 UTC

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New package echarty with initial version 0.1.0
Package: echarty
Title: Minimal R/Shiny Interface to Library 'Echarts JavaScript'
Date: 2021-01-29
Version: 0.1.0
Authors@R: c( person("Larry", "Helgason", email = "larry@helgasoft.com", role = c("aut", "cre", "cph")), person("John", "Coene", email = "jcoenep@gmail.com", role = c("aut", "cph")) )
Author: Larry Helgason [aut, cre, cph], John Coene [aut, cph]
Maintainer: Larry Helgason <larry@helgasoft.com>
Description: The goal is to deliver the full functionality of 'Echarts JavaScript' Version 5 with minimal overhead. 'Echarts JavaScript' is based on data structures. 'echarty' users build R lists for these same data structures. In general one to three 'echarty' commands are sufficient to produce any chart.
Depends: R (>= 3.0.0)
License: Apache License (>= 2.0)
LazyData: true
Imports: htmlwidgets, htmltools (>= 0.5.0), dplyr (>= 0.7.0), magrittr, shiny, purrr, jsonlite, rstudioapi
Suggests: rmarkdown, knitr
RoxygenNote: 7.1.1.9000
URL: https://github.com/helgasoft/echarty
BugReports: https://github.com/helgasoft/echarty/issues/
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2021-02-13 08:14:12 UTC; gugu
Repository: CRAN
Date/Publication: 2021-02-16 15:30:02 UTC

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New package caRecall with initial version 0.1.0
Package: caRecall
Title: Government of Canada Vehicle Recalls Database API Wrapper
Version: 0.1.0
Authors@R: c( person("Nathan", "Smith", role = c("aut", "cre"), email = "nwraysmith@gmail.com"), person("Mitch", "Harris", role = "aut"), person("Ryan", "Koenig", role = "aut"))
Description: Provides API access to the Government of Canada Vehicle Recalls Database <https://tc.api.canada.ca/en/detail?api=VRDB> used by the Defect Investigations and Recalls Division for vehicles, tires, and child car seats. The API wrapper provides access to recall summary information searched using make, model, and year range, as well as detailed recall information searched using recall number.
URL: https://github.com/WraySmith/caRecall
BugReports: https://github.com/WraySmith/caRecall/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Suggests: testthat (>= 3.0.0), covr, knitr, rmarkdown, dplyr, ggplot2, spelling, RColorBrewer
Config/testthat/edition: 3
Imports: httr, jsonlite, tibble
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2021-02-13 18:08:41 UTC; nwray
Author: Nathan Smith [aut, cre], Mitch Harris [aut], Ryan Koenig [aut]
Maintainer: Nathan Smith <nwraysmith@gmail.com>
Repository: CRAN
Date/Publication: 2021-02-16 15:40:06 UTC

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New package bestridge with initial version 1.0.1
Package: bestridge
Type: Package
Title: Best Subset Ridge Regression in Linear, Logistic, Poisson and CoxPH Models
Version: 1.0.1
Date: 2021-01-23
Authors@R: c( person(given = "Canhong", family = "Wen", email = "wencanhong@gmail.com", role = c("aut")), person(given = "Aijun", family = "Zhang", email = "ajzhang@hku.hk", role = c("aut")), person(given = "Shijie", family = "Quan", email = "329773935@qq.com", role = c("aut")), person(given = "Liyuan", family = "Hu", email = "huly5@mail2.sysu.edu.cn", role = c("aut", "cre")), person(given = "Kangkang", family = "Jiang", email = "jiangkk3@mail2.sysu.edu.cn" ,role = c("aut")), person(given = "Yanhang", family = "Zhang", email = "zhangyh98@ruc.edu.cn", role = c("aut")), person(given = "Jin", family = "Zhu", email = "zhuj37@mail2.sysu.edu.cn", role = c("aut")), person(given = "Xueqin", family = "Wang", email = "wangxq20@ustc.edu.cn", role = c("aut")))
Author: Canhong Wen [aut], Aijun Zhang [aut], Shijie Quan [aut], Liyuan Hu [aut, cre], Kangkang Jiang [aut], Yanhang Zhang [aut], Jin Zhu [aut], Xueqin Wang [aut]
Maintainer: Liyuan Hu <huly5@mail2.sysu.edu.cn>
Description: An implementation of best subset ridge regression in generalized linear model and Cox proportional hazard model via the primal dual active set algorithm proposed by Wen, C., Zhang, A., Quan, S. and Wang, X. (2020) <doi:10.18637/jss.v094.i04>. The algorithm formulates coefficient parameters and residuals as primal and dual variables and utilizes efficient active set selection strategies based on the complementarity of the primal and dual variables.
License: GPL-3
Depends: R (>= 3.5.0)
Encoding: UTF-8
LazyData: true
Imports: Rcpp (>= 1.0.3), Matrix(>= 1.2-6), MASS, pheatmap, survival
LinkingTo: Rcpp, RcppEigen
RoxygenNote: 7.1.1
Suggests: knitr, HCmodelSets, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2021-02-13 04:26:43 UTC; test
Repository: CRAN
Date/Publication: 2021-02-16 15:20:02 UTC

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New package spsUtil with initial version 0.1.0
Package: spsUtil
Title: 'systemPipeShiny' Utility Functions
Version: 0.1.0
Date: 2021-02-12
Authors@R: c(person(given = "Le", family = "Zhang", role = c("aut", "cre"), email = "lezhang100@gmail.com"))
Description: The systemPipeShiny (SPS) framework comes with many useful utility functions. However, installing the whole framework is heavy and takes some time. If you like only a few useful utility functions from SPS, install this package is enough.
Depends: R (>= 4.0.0)
Imports: httr, assertthat, stringr, glue, magrittr, crayon
Suggests: testthat
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
BugReports: https://github.com/lz100/spsUtil/issues
URL: https://github.com/lz100/spsUtil
RoxygenNote: 7.1.1
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2021-02-12 20:14:09 UTC; lz
Author: Le Zhang [aut, cre]
Maintainer: Le Zhang <lezhang100@gmail.com>
Repository: CRAN
Date/Publication: 2021-02-16 15:00:02 UTC

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New package marginalizedRisk with initial version 2021.2-4
Package: marginalizedRisk
LazyLoad: yes
LazyData: yes
Version: 2021.2-4
Title: Estimating Marginalized Risk
Authors@R: c(person("Youyi", "Fong", role = "cre", email = "youyifong@gmail.com"), person("Peter", "Gilbert", role = "aut", email = "pgilbert@scharp.org"), person("Marco", "Carone", role = "aut", email = "mcarone@uw.edu") )
Depends: R (>= 4.0)
Imports:
Suggests: RUnit, R.rsp, survival
Description: Estimates risk as a function of a marker by integrating over other covariates in a conditional risk model.
VignetteBuilder: R.rsp
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2021-02-08 17:55:55 UTC; Youyi
Author: Youyi Fong [cre], Peter Gilbert [aut], Marco Carone [aut]
Maintainer: Youyi Fong <youyifong@gmail.com>
Repository: CRAN
Date/Publication: 2021-02-16 15:00:05 UTC

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Package ClusterBootstrap updated to version 1.1.2 with previous version 1.1.0 dated 2020-02-24

Title: Analyze Clustered Data with Generalized Linear Models using the Cluster Bootstrap
Description: Provides functionality for the analysis of clustered data using the cluster bootstrap.
Author: Mathijs Deen [aut, cre], Mark de Rooij [aut]
Maintainer: Mathijs Deen <m.l.deen@fsw.leidenuniv.nl>

Diff between ClusterBootstrap versions 1.1.0 dated 2020-02-24 and 1.1.2 dated 2021-02-16

 ClusterBootstrap-1.1.0/ClusterBootstrap/README.md          |only
 ClusterBootstrap-1.1.2/ClusterBootstrap/DESCRIPTION        |   10 +++---
 ClusterBootstrap-1.1.2/ClusterBootstrap/MD5                |   17 +++++------
 ClusterBootstrap-1.1.2/ClusterBootstrap/NAMESPACE          |    1 
 ClusterBootstrap-1.1.2/ClusterBootstrap/NEWS               |    8 +++++
 ClusterBootstrap-1.1.2/ClusterBootstrap/R/clusbootglm.R    |    5 ++-
 ClusterBootstrap-1.1.2/ClusterBootstrap/inst/CITATION      |   19 +++++++------
 ClusterBootstrap-1.1.2/ClusterBootstrap/man/clusbootglm.Rd |    2 -
 ClusterBootstrap-1.1.2/ClusterBootstrap/man/medication.Rd  |    6 ++--
 ClusterBootstrap-1.1.2/ClusterBootstrap/man/opposites.Rd   |    6 ++--
 10 files changed, 45 insertions(+), 29 deletions(-)

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New package SLBDD with initial version 0.0.1
Package: SLBDD
Type: Package
Title: Statistical Learning for Big Dependent Data
Version: 0.0.1
Authors@R: c(person("Angela", "Caro", email = "", role = c("aut")), person("Antonio", "Elias", email = "antonioefz91@gmail.com", role = c("aut", "cre")), person("Daniel", "Peña", email = "", role = c("aut")), person("Ruey S.", "Tsay", email = "", role = c("aut")))
Maintainer: Antonio Elias <antonioefz91@gmail.com>
Description: Programs for analyzing large-scale time series data. They include functions for automatic specification and estimation of univariate time series, for clustering time series, for multivariate outlier detections, for quantile plotting of many time series, for dynamic factor models and for creating input data for deep learning programs. Examples of using the package can be found in the Wiley book 'Statistical Learning with Big Dependent Data' by Daniel Peña and Ruey S. Tsay (2021). ISBN 9781119417385.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Depends: R (>= 3.5.0)
Imports: stats, glmnet, corpcor, forecast, gsarima, cluster, fGarch, imputeTS, methods, MASS, MTS, TSclust, tsoutliers, Matrix, matrixcalc, rnn
NeedsCompilation: no
Packaged: 2021-02-12 17:35:54 UTC; anton
Author: Angela Caro [aut], Antonio Elias [aut, cre], Daniel Peña [aut], Ruey S. Tsay [aut]
Repository: CRAN
Date/Publication: 2021-02-16 10:10:06 UTC

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Package rcheology updated to version 4.0.4.0 with previous version 4.0.3.0 dated 2020-10-31

Title: Data on Base Packages for Current and Previous Versions of R
Description: Provides a dataset of functions in all base packages of R versions 1.0.1 onwards.
Author: David Hugh-Jones [aut, cre]
Maintainer: David Hugh-Jones <davidhughjones@gmail.com>

Diff between rcheology versions 4.0.3.0 dated 2020-10-31 and 4.0.4.0 dated 2021-02-16

 DESCRIPTION                              |    8 +++---
 MD5                                      |   14 +++++------
 NEWS.md                                  |    6 ++++
 README.md                                |   38 ++++++++++++++-----------------
 data/Rversions.rda                       |binary
 data/rcheology.rda                       |binary
 man/figures/README-unnamed-chunk-5-1.png |binary
 man/figures/README-unnamed-chunk-6-1.png |binary
 8 files changed, 35 insertions(+), 31 deletions(-)

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New package lavacreg with initial version 0.1-0
Package: lavacreg
Type: Package
Title: Latent Variable Count Regression Models
Version: 0.1-0
Date: 2021-01-20
Authors@R: c(person("Christoph", "Kiefer", email = "christoph.kiefer@uni-bielefeld.de", role = c("cre", "aut"), comment = c(ORCID = "0000-0002-9166-400X")))
Description: Estimation of a multi-group count regression models (i.e., Poisson, negative binomial) with latent covariates. This packages provides two extensions compared to ordinary count regression models based on a generalized linear model: First, measurement models for the predictors can be specified allowing to account for measurement error. Second, the count regression can be simultaneously estimated in multiple groups with stochastic group weights. The marginal maximum likelihood estimation is described in Kiefer & Mayer (2020) <doi:10.1080/00273171.2020.1751027>.
License: GPL (>= 2)
URL: https://github.com/chkiefer/lavacreg
BugReports: https://github.com/chkiefer/lavacreg/issues
LazyData: true
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.5), fastGHQuad, pracma, methods, stats
LinkingTo: Rcpp
RoxygenNote: 7.1.1
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
SystemRequirements: C++11
NeedsCompilation: yes
Packaged: 2021-02-12 18:27:13 UTC; chris
Author: Christoph Kiefer [cre, aut] (<https://orcid.org/0000-0002-9166-400X>)
Maintainer: Christoph Kiefer <christoph.kiefer@uni-bielefeld.de>
Repository: CRAN
Date/Publication: 2021-02-16 10:20:06 UTC

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New package batchr with initial version 0.0.1
Package: batchr
Title: Batch Process Files
Version: 0.0.1
Authors@R: c(person(given = "Joe", family = "Thorley", role = c("cre", "aut"), email = "joe@poissonconsulting.ca", comment = c(ORCID = "0000-0002-7683-4592")), person(given = "Audrey", family = "Beliveau", role = "ctb", email = "audrey.beliveau@uwaterloo.ca"), person(given = "Poisson Consulting", role = c("cph", "fnd")))
Description: Processes multiple files with a user-supplied function. The key design principle is that only files which were last modified before the directory was configured are processed. A hidden file stores the configuration time and function etc while successfully processed files are automatically touched to update their modification date. As a result batch processing can be stopped and restarted and any files created (or modified or deleted) during processing are ignored.
License: MIT + file LICENSE
URL: https://poissonconsulting.github.io/batchr/
BugReports: https://github.com/poissonconsulting/batchr/issues
Depends: R (>= 3.6)
Imports: chk, cli, furrr, hms, hmstimer, parallel, stats, yesno
Suggests: covr, future, knitr, rmarkdown, testthat, withr
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-02-12 17:55:28 UTC; joe
Author: Joe Thorley [cre, aut] (<https://orcid.org/0000-0002-7683-4592>), Audrey Beliveau [ctb], Poisson Consulting [cph, fnd]
Maintainer: Joe Thorley <joe@poissonconsulting.ca>
Repository: CRAN
Date/Publication: 2021-02-16 10:10:02 UTC

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New package vmr with initial version 0.0.1
Package: vmr
Type: Package
Encoding: UTF-8
Title: Virtual Machines for R
Version: 0.0.1
Date: 2021-02-04
Authors@R: c(person("Jean-François", "Rey", role = c("cre","aut"), email = "jf.rey.public@gmail.com"))
Maintainer: Jean-François Rey <jf.rey.public@gmail.com>
Description: Manage, provision and use Virtual Machines pre-configured for R. Develop, test and build package in a clean environment. 'Vagrant' tool and a provider (such as 'Virtualbox') have to be installed.
URL: https://gitlab.com/rstuff/vmr, https://rstuff.gitlab.io/vmr
BugReports: https://gitlab.com/rstuff/vmr/-/issues
License: GPL (>= 3)
LazyData: true
BuildVignettes: true
NeedsCompilation: no
Biarch: true
SystemRequirements: Vagrant <https://www.vagrantup.com>
Depends: utils, R (>= 3.3.0)
Imports: stats (>= 3.0.2), jsonlite, curl
Collate: 'vmr.R' 'package.R' 'virtualbox.R' 'vagrantcloudAPI.R' 'vagrant.R' 'vmr-methods.R'
RoxygenNote: 7.1.1
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), ssh
Config/testthat/edition: 3
VignetteBuilder: knitr
Packaged: 2021-02-12 15:36:38 UTC; jfrey
Author: Jean-François Rey [cre, aut]
Repository: CRAN
Date/Publication: 2021-02-16 09:50:02 UTC

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New package PheVis with initial version 1.0.1
Type: Package
Package: PheVis
Title: Automatic Phenotyping of Electronic Health Record at Visit Resolution
Version: 1.0.1
Date: 2021-02-09
Authors@R: c(person(given = "Thomas", family = "Ferte", role = c("aut", "cre"), email = "thomas.ferte@u-bordeaux.fr"), person(given = "Boris P.", family = "Hejblum", role = "aut", email = "boris.hejblum@u-bordeaux.fr"))
Description: Using Electronic Health Record (EHR) is difficult because most of the time the true characteristic of the patient is not available. Instead we can retrieve the International Classification of Disease code related to the disease of interest or we can count the occurrence of the Unified Medical Language System. None of them is the true phenotype which needs chart review to identify. However chart review is time consuming and costly. 'PheVis' is an algorithm which is phenotyping (i.e identify a characteristic) at the visit level in an unsupervised fashion. It can be used for chronic or acute diseases. An example of how to use 'PheVis' is available in the vignette. Basically there are two functions that are to be used: `train_phevis()` which trains the algorithm and `test_phevis()` which get the predicted probabilities. The detailed method is described in preprint by Ferté et al. (2020) <doi:10.1101/2020.06.15.20131458>.
License: GPL (>= 2)
Depends: R (>= 3.5.0)
Imports: dplyr, ggplot2, glmnet, knitr, lme4, purrr, randomForest, Rcpp (>= 1.0.3), stats, tidyr, viridis, zoo
Suggests: PRROC, rmarkdown, testthat
LinkingTo: Rcpp
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: yes
Packaged: 2021-02-12 13:46:00 UTC; thomas
Author: Thomas Ferte [aut, cre], Boris P. Hejblum [aut]
Maintainer: Thomas Ferte <thomas.ferte@u-bordeaux.fr>
Repository: CRAN
Date/Publication: 2021-02-16 09:20:02 UTC

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New package NPIstats with initial version 0.1.0
Package: NPIstats
Type: Package
Title: Nonparametric Predictive Inference
Version: 0.1.0
Authors@R: person("Tahani", "Coolen-Maturi", email = "tahani.maturi@durham.ac.uk", role = c("cre","aut"))
Description: An implementation of the Nonparametric Predictive Inference approach in R. It provides tools for quantifying uncertainty via lower and upper probabilities. It includes useful functions for pairwise and multiple comparisons: comparing two groups with and without terminated tails, selecting the best group, selecting the subset of best groups, selecting the subset including the best group.
License: GPL-3
Depends: R (>= 3.5.0)
Imports: dplyr (>= 1.0.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
RoxygenNote: 7.1.1
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2021-02-12 15:40:58 UTC; tcm
Author: Tahani Coolen-Maturi [cre, aut]
Maintainer: Tahani Coolen-Maturi <tahani.maturi@durham.ac.uk>
Repository: CRAN
Date/Publication: 2021-02-16 09:50:05 UTC

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New package mbr with initial version 0.0.1
Package: mbr
Type: Package
Title: Mass Balance Reconstruction
Version: 0.0.1
Author: Hung Nguyen
Maintainer: Hung Nguyen <ntthung@gmail.com>
Description: Mass-balance-adjusted Regression algorithm for streamflow reconstruction at sub-annual resolution (e.g., seasonal or monthly). The algorithm implements a penalty term to minimize the differences between the total sub-annual flows and the annual flow. The method is described in Nguyen et al (2020) <DOI:10.1002/essoar.10504791.1>.
License: GPL (>= 2.0)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5)
Imports: data.table, dplR, MASS, Matrix, Rfast, stats
RoxygenNote: 7.1.1
URL: https://github.com/ntthung/mbr
BugReports: https://github.com/ntthung/mbr/issues
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-02-12 12:06:00 UTC; ntthu
Repository: CRAN
Date/Publication: 2021-02-16 09:10:02 UTC

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New package jlsm with initial version 0.1.0
Package: jlsm
Type: Package
Title: Joint Latent Space Model for Social Networks with Multivariate Attributes
Version: 0.1.0
Author: Selena Wang
Maintainer: Selena Wang <selenashuowang@gmail.com>
Description: Joint latent space models for social networks and multivariate attributes using a fast inference approach (Wang et al. (2019) <arXiv:1910.12128>).
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5), MASS
Imports: stats, utils, graphics, ellipse, mvtnorm, expm, boot, matrixcalc, lvm4net, pROC, network, Matrix, grDevices
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-02-12 16:08:58 UTC; selena
Repository: CRAN
Date/Publication: 2021-02-16 10:00:03 UTC

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New package IVYplot with initial version 0.1.0
Package: IVYplot
Type: Package
Title: Produces an IVY Plot (Similar to Dot Plot) with/without Frequencies
Version: 0.1.0
Author: Tri Ha Minh Nguyen Jyotirmoy Sarkar Mamunur Rashid
Maintainer: Tri Ha Minh Nguyen <tringuyen_2023@depauw.edu>
Description: For a single variable, the IVY Plot stacks tied values in the form of leaflets. Five leaflets join to form a leaf. Leaves are stacked vertically. At most twenty leaves are shown; For high frequency, each leaflet may represent more than one observation with multiplicity declared in the subtitle.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: plyr
NeedsCompilation: no
Packaged: 2021-02-12 03:01:09 UTC; ngham
Repository: CRAN
Date/Publication: 2021-02-16 09:20:05 UTC

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New package iconr with initial version 0.1.0
Package: iconr
Title: Graphical and Spatial Analysis for Prehistoric Iconography
Version: 0.1.0
Authors@R: c(person("Thomas","Huet", role = c("aut","cre"), email = c("thomashuet7@gmail.com"), comment=c(ORCID="0000-0002-1112-6122")), person("Jose","Pozo", role = c("aut"), email = c("josmpozo@gmail.com"), comment = c(ORCID="0000-0002-0759-3510")), person("Craig","Alexander", role = c("ctb"), email = c("craiga304@gmail.com"), comment = c(ORCID="0000-0001-7539-6415")))
Description: Set of formal methods for studying archaeological iconographic datasets (rock-art, pottery decoration, stelae, etc.) using network and spatial analysis (Alexander 2008 <doi:10.11588/propylaeumdok.00000512>; Huet 2018 <https://hal.archives-ouvertes.fr/hal-02913656>).
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: igraph, magick, rgdal, grDevices, graphics, utils
Suggests: ggplot2, knitr, rmarkdown, dplyr, kableExtra, data.tree, dendextend
VignetteBuilder: knitr
RoxygenNote: 7.1.1
URL: https://zoometh.github.io/iconr/
BugReports: https://github.com/zoometh/iconr/issues
NeedsCompilation: no
Packaged: 2021-02-12 11:43:32 UTC; supernova
Author: Thomas Huet [aut, cre] (<https://orcid.org/0000-0002-1112-6122>), Jose Pozo [aut] (<https://orcid.org/0000-0002-0759-3510>), Craig Alexander [ctb] (<https://orcid.org/0000-0001-7539-6415>)
Maintainer: Thomas Huet <thomashuet7@gmail.com>
Repository: CRAN
Date/Publication: 2021-02-16 09:10:05 UTC

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New package hierBipartite with initial version 0.0.2
Package: hierBipartite
Type: Package
Title: Bipartite Graph-Based Hierarchical Clustering
Version: 0.0.2
Authors@R: c(person("Calvin", "Chi", email = "calvin.chi@berkeley.edu", role = c("aut", "cre", "cph")), person("Woojoo", "Lee", role = c("ctb")), person("Donghwan", "Lee", role = c("ctb")), person("Youngjo", "Lee", role = c("ctb")), person("Yudi", "Pawitan", role = c("ctb")))
Maintainer: Calvin Chi <calvin.chi@berkeley.edu>
Description: Bipartite graph-based hierarchical clustering, developed for pharmacogenomic datasets and datasets sharing the same data structure. The goal is to construct a hierarchical clustering of groups of samples based on association patterns between two sets of variables. In the context of pharmacogenomic datasets, the samples are cell lines, and the two sets of variables are typically expression levels and drug sensitivity values. For this method, sparse canonical correlation analysis from Lee, W., Lee, D., Lee, Y. and Pawitan, Y. (2011) <doi:10.2202/1544-6115.1638> is first applied to extract association patterns for each group of samples. Then, a nuclear norm-based dissimilarity measure is used to construct a dissimilarity matrix between groups based on the extracted associations. Finally, hierarchical clustering is applied.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: parallel, magrittr, irlba
RoxygenNote: 7.1.1
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-02-12 15:02:07 UTC; calvinchi
Author: Calvin Chi [aut, cre, cph], Woojoo Lee [ctb], Donghwan Lee [ctb], Youngjo Lee [ctb], Yudi Pawitan [ctb]
Repository: CRAN
Date/Publication: 2021-02-16 09:40:02 UTC

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New package fwildclusterboot with initial version 0.3.1
Package: fwildclusterboot
Title: Fast Wild Cluster Bootstrap Inference for Linear Regression Models
Version: 0.3.1
Date: 2021-01-12
Authors@R: c( person(given = "Alexander", family = "Fischer", role = c("aut", "cre"), email = "alexander-fischer1801@t-online.de"), person(given = "David", family = "Roodman", role = "aut"), person(given = "Achim", family = "Zeileis", role = c("ctb"), comment = "Author of included sandwich fragments"), person(given = "Nathaniel", family = "Graham", role = c("ctb"), comment = "Contributor to included sandwich fragments"), person(given = "Susanne", family = "Koell", role = c("ctb"), comment = "Contributor to included sandwich fragments"), person("Laurent", "Berge", role = c("ctb"), comment = "Author of included fixest fragments"), person("Sebastian", "Krantz", role = c("ctb")) )
Description: Implementation of the fast algorithm for wild cluster bootstrap inference developed in Roodman et al (2019, STATA Journal) for linear regression models <https://journals.sagepub.com/doi/full/10.1177/1536867X19830877>, which makes it feasible to quickly calculate bootstrap test statistics based on a large number of bootstrap draws even for large samples - as long as the number of bootstrapping clusters is not too large. Multiway clustering, regression weights, bootstrap weights, fixed effects and subcluster bootstrapping are supported. Further, both restricted (WCR) and unrestricted (WCU) bootstrap are supported. Methods are provided for a variety of fitted models, including 'lm()', 'feols()' (from package 'fixest') and 'felm()' (from package 'lfe').
URL: https://s3alfisc.github.io/fwildclusterboot/
BugReports: https://github.com/s3alfisc/fwildclusterboot/issues/
License: GPL-3
Imports: collapse, Formula, Rcpp, dreamerr, Matrix, Matrix.utils, generics
Suggests: fixest, lfe, data.table, fabricatr, tinytest, covr, knitr, rmarkdown, spelling, broom, modelsummary
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
LinkingTo: Rcpp, RcppEigen
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: yes
Packaged: 2021-02-12 11:04:46 UTC; alexa
Author: Alexander Fischer [aut, cre], David Roodman [aut], Achim Zeileis [ctb] (Author of included sandwich fragments), Nathaniel Graham [ctb] (Contributor to included sandwich fragments), Susanne Koell [ctb] (Contributor to included sandwich fragments), Laurent Berge [ctb] (Author of included fixest fragments), Sebastian Krantz [ctb]
Maintainer: Alexander Fischer <alexander-fischer1801@t-online.de>
Repository: CRAN
Date/Publication: 2021-02-16 09:10:09 UTC

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New package datamods with initial version 1.0.1
Package: datamods
Title: Modules to Import and Manipulate Data in 'Shiny'
Version: 1.0.1
Authors@R: c(person(given = "Victor", family = "Perrier", role = c("aut", "cre"), email = "victor.perrier@dreamrs.fr"), person(given = "Zauad Shahreer", family = "Abeer", role = "aut", email = "shahreyar.abeer@gmail.com"))
Description: 'Shiny' modules to import data into an application or 'addin' from various sources, and to manipulate them after that.
License: GPL-3
URL: https://github.com/dreamRs/datamods
BugReports: https://github.com/dreamRs/datamods/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: htmltools, shiny (>= 1.5.0), shinyWidgets (>= 0.5.3), DT, data.table, readxl, rio, rlang, tibble, tools
Suggests: testthat, knitr, MASS, rmarkdown, validate
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-02-12 14:44:15 UTC; perri
Author: Victor Perrier [aut, cre], Zauad Shahreer Abeer [aut]
Maintainer: Victor Perrier <victor.perrier@dreamrs.fr>
Repository: CRAN
Date/Publication: 2021-02-16 09:30:02 UTC

More information about datamods at CRAN
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New package buffeRs with initial version 0.21
Package: buffeRs
Title: Buffer Generation for Spatial Models
Version: 0.21
Date: 2021-02-12
Authors@R: person(given = "Tilman Leo", family = "Hohenberger", role = c("aut", "cre"), email = "tlh@ust.hk", comment = c(ORCID = "0000-0002-4372-8750"))
Description: Generates non-circular simple feature geometries e.g. for the use as buffers in model-building.
URL: https://github.com/tlhenvironment/buffeRs
Imports: sf
Suggests: openair
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
NeedsCompilation: no
Packaged: 2021-02-12 06:12:36 UTC; tlh
Author: Tilman Leo Hohenberger [aut, cre] (<https://orcid.org/0000-0002-4372-8750>)
Maintainer: Tilman Leo Hohenberger <tlh@ust.hk>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2021-02-16 08:50:02 UTC

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Package RoBMA updated to version 1.2.1 with previous version 1.2.0 dated 2021-01-21

Title: Robust Bayesian Meta-Analyses
Description: A framework for estimating ensembles of meta-analytic models (assuming either presence or absence of the effect, heterogeneity, and publication bias) and using Bayesian model averaging to combine them. The ensembles use Bayes factors to test for the presence or absence of the individual components (e.g., effect vs. no effect) and model-averages parameter estimates based on posterior model probabilities (Maier, Bartoš & Wagenmakers, 2020, <doi:10.31234/osf.io/u4cns>). The user can define a wide range of non-informative or informative priors for the effect size, heterogeneity, and weight functions. The package provides convenient functions for summary, visualizations, and fit diagnostics.
Author: František Bartoš [aut, cre] (<https://orcid.org/0000-0002-0018-5573>), Maximilian Maier [aut] (<https://orcid.org/0000-0002-9873-6096>), Eric-Jan Wagenmakers [ths] (<https://orcid.org/0000-0003-1596-1034>), Joris Goosen [ctb]
Maintainer: František Bartoš <f.bartos96@gmail.com>

Diff between RoBMA versions 1.2.0 dated 2021-01-21 and 1.2.1 dated 2021-02-16

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New package sbtools with initial version 1.1.14
Package: sbtools
Title: USGS ScienceBase Tools
Maintainer: David Blodgett <dblodgett@usgs.gov>
Version: 1.1.14
Authors@R: c(person("David", "Blodgett", role=c("cre"), email = "dblodgett@usgs.gov"), person("Luke", "Winslow", role = c("aut"), email = "lawinslow@gmail.com"), person("Scott", "Chamberlain", role = c("ctb"), email = "scott@ropensci.org"), person("Alison", "Appling", role = c("ctb"), email = "aappling@usgs.gov"), person("Jordan", "Read", role = c("ctb"), email = "jread@usgs.gov"))
Description: Tools for interacting with U.S. Geological Survey ScienceBase <https://www.sciencebase.gov> interfaces. ScienceBase is a data cataloging and collaborative data management platform. Functions included for querying ScienceBase, and creating and fetching datasets.
Imports: jsonlite, curl, httr (>= 1.0.0), stringr, methods
Suggests: testthat, xml2, sf, sp
License: CC0
URL: https://github.com/USGS-R/sbtools
BugReports: https://github.com/USGS-R/sbtools/issues
RoxygenNote: 7.1.1
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-02-15 19:57:07 UTC; dblodgett
Author: David Blodgett [cre], Luke Winslow [aut], Scott Chamberlain [ctb], Alison Appling [ctb], Jordan Read [ctb]
Repository: CRAN
Date/Publication: 2021-02-16 06:20:02 UTC

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Package isoreader updated to version 1.3.0 with previous version 1.2.7 dated 2020-11-04

Title: Read Stable Isotope Data Files
Description: Interface to the raw data file formats commonly encountered in scientific disciplines that make use of stable isotopes.
Author: Sebastian Kopf [aut, cre] (<https://orcid.org/0000-0002-2044-0201>), Brett Davidheiser-Kroll [aut] (<https://orcid.org/0000-0002-6153-7851>), Ilja Kocken [aut] (<https://orcid.org/0000-0003-2196-8718>)
Maintainer: Sebastian Kopf <sebastian.kopf@colorado.edu>

Diff between isoreader versions 1.2.7 dated 2020-11-04 and 1.3.0 dated 2021-02-16

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Package emhawkes updated to version 0.9.5 with previous version 0.9.0 dated 2018-09-17

Title: Exponential Multivariate Hawkes Model
Description: Simulate and fitting exponential multivariate Hawkes model. This package simulates a multivariate Hawkes model, introduced by Hawkes (1971) <doi:10.2307/2334319>, with an exponential kernel and fits the parameters from the data. Models with the constant parameters, as well as complex dependent structures, can also be simulated and estimated. The estimation is based on the maximum likelihood method, introduced by introduced by Ozaki (1979) <doi:10.1007/BF02480272>, with 'maxLik' package.
Author: Kyungsub Lee [aut, cre]
Maintainer: Kyungsub Lee <kyungsub@gmail.com>

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Package Directional updated to version 4.8 with previous version 4.7 dated 2021-02-15

Title: A Collection of R Functions for Directional Data Analysis
Description: A collection of functions for directional data (including massive, with millions of observations, data) analysis. Hypothesis testing, discriminant and regression analysis, MLE of distributions and more are included. The standard textbook for such data is the "Directional Statistics" by Mardia, K. V. and Jupp, P. E. (2000). Other references include a) Phillip J. Paine, Simon P. Preston Michail Tsagris and Andrew T. A. Wood (2018). An elliptically symmetric angular Gaussian distribution. Statistics and Computing 28(3): 689-697. <doi:10.1007/s11222-017-9756-4>. b) Tsagris M. and Alenazi A. (2019). Comparison of discriminant analysis methods on the sphere. Communications in Statistics: Case Studies, Data Analysis and Applications 5(4):467--491. <doi:10.1080/23737484.2019.1684854>. c) P. J. Paine, S. P. Preston, M. Tsagris and Andrew T. A. Wood (2020). Spherical regression models with general covariates and anisotropic errors. Statistics and Computing 30(1): 153--165. <doi:10.1007/s11222-019-09872-2>.
Author: Michail Tsagris, Giorgos Athineou, Anamul Sajib, Eli Amson, Micah J. Waldstein
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

Diff between Directional versions 4.7 dated 2021-02-15 and 4.8 dated 2021-02-16

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Package descr updated to version 1.1.5 with previous version 1.1.4 dated 2018-01-19

Title: Descriptive Statistics
Description: Weighted frequency and contingency tables of categorical variables and of the comparison of the mean value of a numerical variable by the levels of a factor, and methods to produce xtable objects of the tables and to plot them. There are also functions to facilitate the character encoding conversion of objects, to quickly convert fixed width files into csv ones, and to export a data.frame to a text file with the necessary R and SPSS codes to reread the data.
Author: Jakson Aquino. Includes R source code and/or documentation written by Dirk Enzmann, Marc Schwartz, Nitin Jain, and Stefan Kraft
Maintainer: Jakson Aquino <jalvesaq@gmail.com>

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Package rsyncrosim updated to version 1.2.9 with previous version 1.2.4 dated 2020-06-04

Title: The R Interface to 'SyncroSim'
Description: 'SyncroSim' is a generalized framework for managing scenario-based datasets (<https://syncrosim.com/>). 'rsyncrosim' provides an interface to 'SyncroSim'. Simulation models can be added to 'SyncroSim' in order to transform these datasets, taking advantage of general features such as defining scenarios of model inputs, running Monte Carlo simulations, and summarizing model outputs. 'rsyncrosim' requires 'SyncroSim' 2.2.13 or higher (API documentation: <https://docs.syncrosim.com/>).
Author: Colin Daniel [aut, cre], Josie Hughes [aut], Alex Embrey [aut], Leonardo Frid [aut], Valentin Lucet [aut], Tabitha Kennedy [aut], ApexRMS [cph]
Maintainer: Colin Daniel <colin.daniel@apexrms.com>

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Package peopleanalyticsdata updated to version 0.2.0 with previous version 0.1.0 dated 2021-01-07

Title: Data Sets for Keith McNulty's Handbook of Regression Modeling in People Analytics
Description: Data sets for statistical inference modeling related to People Analytics. Contains various data sets from the book 'Handbook of Regression Modeling in People Analytics' by Keith McNulty (2020).
Author: Keith McNulty [aut, cre] (<https://orcid.org/0000-0002-2332-1654>)
Maintainer: Keith McNulty <keith.mcnulty@gmail.com>

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Package parzer updated to version 0.4.0 with previous version 0.3.0 dated 2020-10-13

Title: Parse Messy Geographic Coordinates
Description: Parse geographic coordinates from various formats to decimal degree numeric values. Parse coordinates into their parts (degree, minutes, seconds); calculate hemisphere from coordinates; pull out individually degrees, minutes, or seconds; add and subtract degrees, minutes, and seconds. C++ code herein originally inspired from code written by Jeffrey D. Bogan, but then completely re-written.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>), Alban Sagouis [ctb], Jeffrey Bogan [ctb] (C++ code originally from Jeffrey Bogan, but completely re-written), Julien Brun [rev] (Julien Brun reviewed the package, see https://github.com/ropensci/onboarding/issues/341), Maria Munafó [rev] (Maria Munafó reviewed the package, see https://github.com/ropensci/onboarding/issues/341), rOpenSci [fnd] (https://ropensci.org)
Maintainer: Scott Chamberlain <sckott@protonmail.com>

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 NEWS.md                           |    8 ++++++++
 R/zzz.R                           |   22 +++++++++++++++++-----
 build/vignette.rds                |binary
 inst/doc/parzer.html              |    5 +++--
 tests/testthat/test-mbcs-locale.R |only
 tests/testthat/test-utils.R       |    2 +-
 9 files changed, 43 insertions(+), 21 deletions(-)

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Package GapAnalysis (with last version 1.0.1) was removed from CRAN

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2020-08-10 1.0.1

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Package spcosa (with last version 0.3-11) was removed from CRAN

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2021-01-18 0.3-11
2021-01-06 0.3-10
2020-01-13 0.3-9
2018-03-30 0.3-8
2018-01-19 0.3-7
2015-12-22 0.3-6
2013-05-02 0.3-5
2013-04-29 0.3-4
2013-01-30 0.3-3
2012-12-05 0.3-2
2012-09-11 0.3-1
2012-03-27 0.3-0
2010-10-09 0.2-3
2010-07-29 0.2-2
2010-04-19 0.2-1
2009-11-12 0.2-0
2009-09-09 0.1-5
2009-07-01 0.1-4
2009-05-17 0.1-3
2009-03-23 0.1-2
2009-03-13 0.1-1

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