Tue, 17 Dec 2019

Package link2GI updated to version 0.4.1 with previous version 0.4-0 dated 2019-11-22

Title: Linking Geographic Information Systems, Remote Sensing and Other Command Line Tools
Description: Functions to simplify the linking of open source GIS and remote sensing related command line interfaces.
Author: Chris Reudenbach [cre, aut], Tim Appelhans [ctb]
Maintainer: Chris Reudenbach <reudenbach@uni-marburg.de>

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Package intsurv updated to version 0.2.1 with previous version 0.2.0 dated 2019-08-03

Title: Integrative Survival Modeling
Description: Contains implementations of integrative survival analysis routines, including regular Cox cure rate model proposed by Kuk and Chen (1992) <doi:10.1093/biomet/79.3.531> via an EM algorithm proposed by Sy and Taylor (2000) <doi:10.1111/j.0006-341X.2000.00227.x>, regularized Cox cure rate model with elastic net penalty following Masud et al. (2018) <doi:10.1177/0962280216677748>, and Zou and Hastie (2005) <doi:10.1111/j.1467-9868.2005.00503.x>, and weighted concordance index for cure models proposed by Asano and Hirakawa (2017) <doi:10.1080/10543406.2017.1293082>.
Author: Wenjie Wang [aut, cre] (<https://orcid.org/0000-0003-0363-3180>), Kun Chen [ctb] (<https://orcid.org/0000-0003-3579-5467>), Jun Yan [ctb] (<https://orcid.org/0000-0003-4401-7296>)
Maintainer: Wenjie Wang <wenjie.2.wang@uconn.edu>

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Package growthrates updated to version 0.8.1 with previous version 0.7.2 dated 2018-06-18

Title: Estimate Growth Rates from Experimental Data
Description: A collection of methods to determine growth rates from experimental data, in particular from batch experiments and plate reader trials.
Author: Thomas Petzoldt [aut, cre] (<https://orcid.org/0000-0002-4951-6468>)
Maintainer: Thomas Petzoldt <thomas.petzoldt@tu-dresden.de>

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Package fungible updated to version 1.95 with previous version 1.93 dated 2019-11-20

Title: Psychometric Functions from the Waller Lab
Description: Computes fungible coefficients and Monte Carlo data. Underlying theory for these functions is described in the following publications: Waller, N. (2008). Fungible Weights in Multiple Regression. Psychometrika, 73(4), 691-703, <DOI:10.1007/s11336-008-9066-z>. Waller, N. & Jones, J. (2009). Locating the Extrema of Fungible Regression Weights. Psychometrika, 74(4), 589-602, <DOI:10.1007/s11336-008-9087-7>. Waller, N. G. (2016). Fungible Correlation Matrices: A Method for Generating Nonsingular, Singular, and Improper Correlation Matrices for Monte Carlo Research. Multivariate Behavioral Research, 51(4), 554-568, <DOI:10.1080/00273171.2016.1178566>. Jones, J. A. & Waller, N. G. (2015). The normal-theory and asymptotic distribution-free (ADF) covariance matrix of standardized regression coefficients: theoretical extensions and finite sample behavior. Psychometrika, 80, 365-378, <DOI:10.1007/s11336-013-9380-y>. Waller, N. G. (2018). Direct Schmid-Leiman transformations and rank-deficient loadings matrices. Psychometrika, 83, 858-870. <DOI:10.1007/s11336-017-9599-0>.
Author: Niels Waller [aut, cre], Jeff Jones [ctb], Casey Giordano [ctb]
Maintainer: Niels Waller <nwaller@umn.edu>

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Package GAR (with last version 1.1) was removed from CRAN

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

2015-09-18 1.1
2015-03-19 1.0

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Package model4you (with last version 0.9-3) was removed from CRAN

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

2018-11-12 0.9-3
2018-06-15 0.9-2
2018-02-08 0.9-1
2018-01-16 0.9-0

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Package DCCA (with last version 0.1.0) was removed from CRAN

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

2019-12-16 0.1.0

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Package psychonetrics updated to version 0.4.1 with previous version 0.4 dated 2019-12-17

Title: Structural Equation Modeling and Confirmatory Network Analysis
Description: Multi-group (dynamical) structural equation models in combination with confirmatory network models from cross-sectional, time-series and panel data. Allows for confirmatory testing and fit as well as exploratory model search.
Author: Sacha Epskamp
Maintainer: Sacha Epskamp <mail@sachaepskamp.com>

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Package paletteer updated to version 1.0.0 with previous version 0.2.1 dated 2019-02-13

Title: Comprehensive Collection of Color Palettes
Description: The choices of color palettes in R can be quite overwhelming with palettes spread over many packages with many different API's. This packages aims to collect all color palettes across the R ecosystem under the same package with a streamlined API.
Author: See AUTHORS file.
Maintainer: Emil Hvitfeldt <emilhhvitfeldt@gmail.com>

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Package momentuHMM updated to version 1.5.0 with previous version 1.4.3 dated 2018-11-22

Title: Maximum Likelihood Analysis of Animal Movement Behavior Using Multivariate Hidden Markov Models
Description: Extended tools for analyzing telemetry data using generalized hidden Markov models. Features of momentuHMM (pronounced ``momentum'') include data pre-processing and visualization, fitting HMMs to location and auxiliary biotelemetry or environmental data, biased and correlated random walk movement models, hierarchical HMMs, multiple imputation for incorporating location measurement error and missing data, user-specified design matrices and constraints for covariate modelling of parameters, random effects, decoding of the state process, visualization of fitted models, model checking and selection, and simulation. See McClintock and Michelot (2018) <doi:10.1111/2041-210X.12995>.
Author: Brett McClintock, Theo Michelot
Maintainer: Brett McClintock <brett.mcclintock@noaa.gov>

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Package mev updated to version 1.13 with previous version 1.12 dated 2019-06-24

Title: Multivariate Extreme Value Distributions
Description: Various tools for the analysis of univariate, multivariate and functional extremes. Exact simulation from max-stable processes [Dombry, Engelke and Oesting (2016) <doi:10.1093/biomet/asw008>, R-Pareto processes for various parametric models, including Brown-Resnick (Wadsworth and Tawn, 2014, <doi:10.1093/biomet/ast042>) and Extremal Student (Thibaud and Opitz, 2015, <doi:10.1093/biomet/asv045>). Threshold selection methods, including Wadsworth (2016) <doi:10.1080/00401706.2014.998345>, and Northrop and Coleman (2014) <doi:10.1007/s10687-014-0183-z>. Multivariate extreme diagnostics. Estimation and likelihoods for univariate extremes, e.g., Coles (2001) <doi:10.1007/978-1-4471-3675-0>.
Author: Leo Belzile [aut, cre] (<https://orcid.org/0000-0002-9135-014X>), Jennifer L. Wadsworth [aut], Paul J. Northrop [aut], Scott D. Grimshaw [aut], Jin Zhang [ctb], Michael A. Stephens [ctb], Art B. Owen [ctb], Raphael Huser [aut]
Maintainer: Leo Belzile <belzilel@gmail.com>

Diff between mev versions 1.12 dated 2019-06-24 and 1.13 dated 2019-12-17

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More information about mev at CRAN
Permanent link

New package MetaLonDA with initial version 1.1.8
Package: MetaLonDA
Type: Package
Title: Metagenomics Longitudinal Differential Abundance Method
Version: 1.1.8
Date: 2019-12-17
Author: Ahmed A. Metwally, Yang Dai, Patricia W. Finn, David L. Perkins
Maintainer: Ahmed A. Metwally <ametwall@stanford.edu>
URL: https://github.com/aametwally/MetaLonDA
BugReports: https://github.com/aametwally/MetaLonDA/issues
Description: Identify time intervals of differentially abundant metagenomic features in longitudinal studies (Metwally AA, et al., Microbiome, 2018 <doi:10.1186/s40168-018-0402-y>).
License: MIT + file LICENSE
Depends: R(>= 3.5.0)
Imports: gss, plyr, zoo, pracma, ggplot2, parallel, doParallel, metagenomeSeq, DESeq2, edgeR
Suggests: knitr, rmarkdown
biocViews:
Repository: CRAN
NeedsCompilation: no
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
VignetteBuilder: knitr
Packaged: 2019-12-17 20:11:48 UTC; ahmedmetwally
Date/Publication: 2019-12-18 02:10:26 UTC

More information about MetaLonDA at CRAN
Permanent link

New package live with initial version 1.5.12
Package: live
Type: Package
Title: Local Interpretable (Model-Agnostic) Visual Explanations
Version: 1.5.12
Authors@R: c( person("Mateusz", "Staniak", role = c("cre","aut"), email = "mateusz.staniak@math.uni.wroc.pl"), person("Przemysław", "Biecek", role = "aut", email = "przemyslaw.biecek@gmail.com") )
Description: Interpretability of complex machine learning models is a growing concern. This package helps to understand key factors that drive the decision made by complicated predictive model (so called black box model). This is achieved through local approximations that are either based on additive regression like model or CART like model that allows for higher interactions. The methodology is based on Tulio Ribeiro, Singh, Guestrin (2016) <doi:10.1145/2939672.2939778>. More details can be found in Staniak, Biecek (2018) <doi:10.32614/RJ-2018-072>.
URL: https://github.com/ModelOriented/live
BugReports: https://github.com/ModelOriented/live/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
Depends: R (>= 3.0.2)
Suggests: knitr, rmarkdown, testthat, glmnet, covr, DALEX, RWeka, mda, modeltools
VignetteBuilder: knitr
Imports: mlr, dplyr, breakDown, data.table, forestmodel, shiny, MASS, ggplot2, gower, e1071
NeedsCompilation: no
Packaged: 2019-12-17 16:12:19 UTC; mtst
Author: Mateusz Staniak [cre, aut], Przemysław Biecek [aut]
Maintainer: Mateusz Staniak <mateusz.staniak@math.uni.wroc.pl>
Repository: CRAN
Date/Publication: 2019-12-18 02:10:23 UTC

More information about live at CRAN
Permanent link

Package warbleR updated to version 1.1.19 with previous version 1.1.18 dated 2019-11-04

Title: Streamline Bioacoustic Analysis
Description: Functions aiming to facilitate the analysis of the structure of animal acoustic signals in 'R'. Users can collect open-access avian recordings or enter their own data into a workflow that facilitates spectrographic visualization and measurement of acoustic parameters. 'warbleR' makes use of the basic sound analysis tools from the package 'seewave', and offers new tools for acoustic structure analysis. The main features of the package are the use of loops to apply tasks through acoustic signals referenced in a selection (annotation) table and the production of spectrograms in image files that allow to organize data and verify acoustic analyzes. The package offers functions to explore, organize and manipulate multiple sound files, explore and download 'Xeno-Canto' recordings, detect signals automatically, create spectrograms of complete recordings or individual signals, run different measures of acoustic signal structure, evaluate the performance of measurement methods, catalog signals, characterize different structural levels in acoustic signals, run statistical analysis of duet coordination and consolidate databases and annotation tables, among others.
Author: Marcelo Araya-Salas [aut, cre] (<https://orcid.org/0000-0003-3594-619X>), Grace Smith-Vidaurre [aut]
Maintainer: Marcelo Araya-Salas <marceloa27@gmail.com>

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Package SpaDES.tools updated to version 0.3.4 with previous version 0.3.3 dated 2019-11-25

Title: Additional Tools for Developing Spatially Explicit Discrete Event Simulation (SpaDES) Models
Description: Provides GIS and map utilities, plus additional modeling tools for developing cellular automata, dynamic raster models, and agent based models in 'SpaDES'. Included are various methods for spatial spreading, spatial agents, GIS operations, random map generation, and others. See '?SpaDES.tools' for an categorized overview of these additional tools.
Author: Alex M Chubaty [aut, cre] (<https://orcid.org/0000-0001-7146-8135>), Eliot J B McIntire [aut] (<https://orcid.org/0000-0002-6914-8316>), Yong Luo [ctb], Steve Cumming [ctb], Jean Marchal [ctb], Her Majesty the Queen in Right of Canada, as represented by the Minister of Natural Resources Canada [cph]
Maintainer: Alex M Chubaty <alex.chubaty@gmail.com>

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Package RMariaDB updated to version 1.0.8 with previous version 1.0.7 dated 2019-12-02

Title: Database Interface and 'MariaDB' Driver
Description: Implements a 'DBI'-compliant interface to 'MariaDB' (<https://mariadb.org/>) and 'MySQL' (<https://www.mysql.com/>) databases.
Author: Kirill Müller [aut, cre] (<https://orcid.org/0000-0002-1416-3412>), Jeroen Ooms [aut] (<https://orcid.org/0000-0002-4035-0289>), David James [aut], Saikat DebRoy [aut], Hadley Wickham [aut], Jeffrey Horner [aut], R Consortium [fnd], RStudio [cph]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

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Package popkin updated to version 1.3.0 with previous version 1.2.2 dated 2019-05-13

Title: Estimate Kinship and FST under Arbitrary Population Structure
Description: Provides functions to estimate the kinship matrix of individuals from a large set of biallelic SNPs, and extract inbreeding coefficients and the generalized FST (Wright's fixation index). Method described in Ochoa and Storey (2016) <doi:10.1101/083923>.
Author: Alejandro Ochoa [aut, cre] (<https://orcid.org/0000-0003-4928-3403>), John D. Storey [aut] (<https://orcid.org/0000-0001-5992-402X>)
Maintainer: Alejandro Ochoa <alejandro.ochoa@duke.edu>

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Package broomExtra updated to version 1.0.0 with previous version 0.0.6 dated 2019-10-26

Title: Enhancements for 'broom' Package Family
Description: Collection of functions to assist 'broom' and 'broom.mixed' package-related data analysis workflows. In particular, the generic functions tidy(), glance(), and augment() choose appropriate S3 methods from these two packages depending on which package exports the needed method. Additionally, 'grouped_' and 'boot_' variants of the generics provides a convenient way to execute functions across a combination of grouping variable(s) in a dataframe or bootstrap them.
Author: Indrajeet Patil [aut, cre, ctb] (<https://orcid.org/0000-0003-1995-6531>)
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>

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Package mmeln updated to version 1.4 with previous version 1.3 dated 2018-05-16

Title: Estimation of Multinormal Mixture Distribution
Description: Fit multivariate mixture of normal distribution using covariance structure.
Author: Charles-Edouard Giguere
Maintainer: Charles-Edouard Giguere <ce.giguere@gmail.com>

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Package genio updated to version 1.0.12 with previous version 1.0.10 dated 2019-05-28

Title: Genetics Input/Output Functions
Description: Implements readers and writers for file formats associated with genetics data. Reading and writing plink BED/BIM/FAM formats is fully supported, including a lightning-fast BED reader and writer implementations. Other functions are 'readr' wrappers that are more constrained, user-friendly, and efficient for these particular applications; handles plink and eigenstrat tables (FAM, BIM, IND, and SNP files). There are also "make" functions for FAM and BIM tables with default values to go with simulated genotype data.
Author: Alejandro Ochoa [aut, cre] (<https://orcid.org/0000-0003-4928-3403>)
Maintainer: Alejandro Ochoa <alejandro.ochoa@duke.edu>

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Package VFP updated to version 1.2 with previous version 1.1 dated 2019-11-06

Title: Variance Function Program
Description: Variance function estimation for models proposed by W. Sadler in his variance function program ('VFP', <http://www.aacb.asn.au/resources/useful-tools/variance-function-program-v14>). Here, the idea is to fit multiple variance functions to a data set and consequently assess which function reflects the relationship 'Var ~ Mean' best. For 'in-vitro diagnostic' ('IVD') assays modeling this relationship is of great importance when individual test-results are used for defining follow-up treatment of patients.
Author: Andre Schuetzenmeister [cre, aut], Florian Dufey [aut], Andrea Geistanger [ctb]
Maintainer: Andre Schuetzenmeister <andre.schuetzenmeister@roche.com>

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Package TCGAretriever updated to version 1.5 with previous version 1.3 dated 2016-07-30

Title: Retrieve Genomic and Clinical Data from TCGA
Description: The Cancer Genome Atlas (TCGA) is a program aimed at improving our understanding of Cancer Biology. Several TCGA Datasets are available online. 'TCGAretriever' helps accessing and downloading TCGA data hosted on 'cBioPortal' via its Web Interface (see <http://www.cbioportal.org/> for more information). 'TCGAretriever' is easy to use (get all the TCGA data you need with a few lines of code), enforces reliable data download (via 'httr'), and is suitable for downloading large volumes of data.
Author: Damiano Fantini
Maintainer: Damiano Fantini <damiano.fantini@gmail.com>

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Package perccalc updated to version 1.0.5 with previous version 1.0.4 dated 2019-12-09

Title: Estimate Percentiles from an Ordered Categorical Variable
Description: An implementation of two functions that estimate values for percentiles from an ordered categorical variable as described by Reardon (2011, isbn:978-0-87154-372-1). One function estimates percentile differences from two percentiles while the other returns the values for every percentile from 1 to 100.
Author: Jorge Cimentada [aut, cre] (<https://orcid.org/0000-0001-5594-1156>)
Maintainer: Jorge Cimentada <cimentadaj@gmail.com>

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Package optimos.prime updated to version 0.1.1 with previous version 0.1.0 dated 2019-02-18

Title: Optimos Prime Helps Calculate Autoecological Data for Biological Species
Description: Calculates autoecological data (optima and tolerance ranges) of a biological species given an environmental matrix. The package calculates by weighted averaging, using the number of occurrences to adjust the tolerance assigned to each taxon to estimate optima and tolerance range in cases where taxa have unequal occurrences. See the detailed methodology by Birks et al. (1990) <doi:10.1098/rstb.1990.0062>, and a case example by Potapova and Charles (2003) <doi:10.1046/j.1365-2427.2003.01080.x>.
Author: María Belén Sathicq [aut], María Mercedes Nicolosi Gelis [aut], Joaquín Cochero [cre]
Maintainer: Joaquín Cochero <jcochero@ilpla.edu.ar>

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Package bucky updated to version 1.0.6 with previous version 1.0.5 dated 2018-10-29

Title: Bucky's Archive for Data Analysis in the Social Sciences
Description: Provides functions for various statistical techniques commonly used in the social sciences, including functions to compute clustered robust standard errors, combine results across multiply-imputed data sets, and simplify the addition of robust and clustered robust standard errors.
Author: Alexander Tahk [aut, cre]
Maintainer: Alexander Tahk <tahk@alum.mit.edu>

Diff between bucky versions 1.0.5 dated 2018-10-29 and 1.0.6 dated 2019-12-17

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Package Thresher updated to version 1.1.3 with previous version 1.1.2 dated 2019-05-06

Title: Threshing and Reaping for Principal Components
Description: Defines the classes used to identify outliers (threshing) and compute the number of significant principal components and number of clusters (reaping) in a joint application of PCA and hierarchical clustering. See Wang et al., 2018, <doi:10.1186/s12859-017-1998-9>.
Author: Kevin R. Coombes
Maintainer: Kevin R. Coombes <krc@silicovore.com>

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Package blscrapeR updated to version 3.2.0 with previous version 3.1.6 dated 2019-01-29

Title: An API Wrapper for the Bureau of Labor Statistics (BLS)
Description: Scrapes various data from <https://www.bls.gov/>. The U.S. Bureau of Labor Statistics is the statistical branch of the United States Department of Labor. The package has additional functions to help parse, analyze and visualize the data.
Author: Kris Eberwein [aut, cre]
Maintainer: Kris Eberwein <eberwein@knights.ucf.edu>

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Package vctrs updated to version 0.2.1 with previous version 0.2.0 dated 2019-07-05

Title: Vector Helpers
Description: Defines new notions of prototype and size that are used to provide tools for consistent and well-founded type-coercion and size-recycling, and are in turn connected to ideas of type- and size-stability useful for analyzing function interfaces.
Author: Hadley Wickham [aut, cre], Lionel Henry [aut], Davis Vaughan [aut], RStudio [cph]
Maintainer: Hadley Wickham <hadley@rstudio.com>

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Package telefit updated to version 1.0.2 with previous version 1.0.1 dated 2019-02-18

Title: Estimation and Prediction for Remote Effects Spatial Process Models
Description: Implementation of the remote effects spatial process (RESP) model for teleconnection. The RESP model is a geostatistical model that allows a spatially-referenced variable (like average precipitation) to be influenced by covariates defined on a remote domain (like sea surface temperatures). The RESP model is introduced in Hewitt et al. (2018) <doi:10.1002/env.2523>. Sample code for working with the RESP model is available at <https://jmhewitt.github.io/research/resp_example>. This material is based upon work supported by the National Science Foundation under grant number AGS 1419558. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.
Author: Joshua Hewitt
Maintainer: Joshua Hewitt <joshua.hewitt@duke.edu>

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Package prioritylasso updated to version 0.2.3 with previous version 0.2.2 dated 2019-06-05

Title: Analyzing Multiple Omics Data with an Offset Approach
Description: Fits successive Lasso models for several blocks of (omics) data with different priorities and takes the predicted values as an offset for the next block.
Author: Simon Klau, Roman Hornung, Alina Bauer
Maintainer: Simon Klau <simonklau@ibe.med.uni-muenchen.de>

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Package optimr updated to version 2019-12.16 with previous version 2016-8.16 dated 2016-08-16

Title: A Replacement and Extension of the 'optim' Function
Description: Provides a test of replacement and extension of the optim() function to unify and streamline optimization capabilities in R for smooth, possibly box constrained functions of several or many parameters. This version has a reduced set of methods and is intended to be on CRAN.
Author: John C Nash [aut, cre], Ravi Varadhan [aut], Gabor Grothendieck [ctb]
Maintainer: John C Nash <nashjc@uottawa.ca>

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Package lfe updated to version 2.8-5 with previous version 2.8-4 dated 2019-12-11

Title: Linear Group Fixed Effects
Description: Transforms away factors with many levels prior to doing an OLS. Useful for estimating linear models with multiple group fixed effects, and for estimating linear models which uses factors with many levels as pure control variables. Includes support for instrumental variables, conditional F statistics for weak instruments, robust and multi-way clustered standard errors, as well as limited mobility bias correction.
Author: Simen Gaure [aut, cre] (<https://orcid.org/0000-0001-7251-8747>), Grant McDermott [ctb], Karl Dunkle Werner [ctb], Matthieu Stigler [ctb], Daniel Lüdecke [ctb]
Maintainer: Simen Gaure <Simen.Gaure@frisch.uio.no>

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Package clinDR updated to version 2.2.1 with previous version 1.9 dated 2019-01-04

Title: Simulation and Analysis Tools for Clinical Dose Response Modeling
Description: Bayesian and ML Emax model fitting, graphics and simulation for clinical dose response. The summary data from the dose response meta-analyses in Thomas, Sweeney, and Somayaji (2014) <doi:10.1080/19466315.2014.924876> and Thomas and Roy (2016) <doi:10.1080/19466315.2016.1256229> Wu, Banerjee, Jin, Menon, Martin, and Heatherington(2017) <doi:10.1177/0962280216684528> are included in the package. The prior distributions for the Bayesian analyses default to the posterior predictive distributions derived from these references.
Author: Neal Thomas [aut, cre] (<https://orcid.org/0000-0002-1915-8487>), Jing Wu [aut]
Maintainer: Neal Thomas <snthomas99@gmail.com>

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Package camtrapR updated to version 1.2.1 with previous version 1.2 dated 2019-12-05

Title: Camera Trap Data Management and Preparation of Occupancy and Spatial Capture-Recapture Analyses
Description: Management of and data extraction from camera trap photographs in wildlife studies. The package provides a workflow for storing and sorting camera trap photos, tabulates records of species and individuals, and creates detection/non-detection matrices for occupancy and spatial capture-recapture analyses with great flexibility. In addition, it provides simple mapping functions (number of species, number of independent species detections by station including GIS export) and can visualise species activity data.
Author: Juergen Niedballa [aut, cre], Alexandre Courtiol [aut], Rahel Sollmann [aut], John Mathai [ctb], Seth Timothy Wong [ctb], An The Truong Nguyen [ctb], Azlan bin Mohamed [ctb], Andrew Tilker [ctb], Andreas Wilting [ctb, ths]
Maintainer: Juergen Niedballa <camtrapr@gmail.com>

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Package BacArena updated to version 1.8.1 with previous version 1.8 dated 2019-02-15

Title: Modeling Framework for Cellular Communities in their Environments
Description: Can be used for simulation of organisms living in communities (Bauer and Zimmermann (2017) <doi:10.1371/journal.pcbi.1005544>). Each organism is represented individually and genome scale metabolic models determine the uptake and release of compounds. Biological processes such as movement, diffusion, chemotaxis and kinetics are available along with data analysis techniques.
Author: Eugen Bauer [aut], Johannes Zimmermann [aut, cre]
Maintainer: Johannes Zimmermann <j.zimmermann@iem.uni-kiel.de>

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Package VCA updated to version 1.4.2 with previous version 1.4.1 dated 2019-11-14

Title: Variance Component Analysis
Description: ANOVA and REML estimation of linear mixed models is implemented, once following Searle et al. (1991, ANOVA for unbalanced data), once making use of the 'lme4' package. The primary objective of this package is to perform a variance component analysis (VCA) according to CLSI EP05-A3 guideline "Evaluation of Precision of Quantitative Measurement Procedures" (2014). There are plotting methods for visualization of an experimental design, plotting random effects and residuals. For ANOVA type estimation two methods for computing ANOVA mean squares are implemented (SWEEP and quadratic forms). The covariance matrix of variance components can be derived, which is used in estimating confidence intervals. Linear hypotheses of fixed effects and LS means can be computed. LS means can be computed at specific values of covariables and with custom weighting schemes for factor variables. See ?VCA for a more comprehensive description of the features.
Author: Andre Schuetzenmeister [aut, cre], Florian Dufey [aut]
Maintainer: Andre Schuetzenmeister <andre.schuetzenmeister@roche.com>

Diff between VCA versions 1.4.1 dated 2019-11-14 and 1.4.2 dated 2019-12-17

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Package trimmer updated to version 0.7.7 with previous version 0.7.6 dated 2019-12-17

Title: Trim an Object
Description: A lightweight toolkit to reduce the size of a list object. The object is minimized by recursively removing elements from the object one-by-one. The process is constrained by a reference function call specified by the user, where the target object is given as an argument. The procedure will not allow elements to be removed from the object, that will cause results from the function call to diverge from the function call with the original object.
Author: Lars Kjeldgaard [aut, cre]
Maintainer: Lars Kjeldgaard <lars_kjeldgaard@hotmail.com>

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Package rENA updated to version 0.2.0.1 with previous version 0.2.0.0 dated 2019-10-07

Title: Epistemic Network Analysis
Description: ENA (Shaffer, D. W. (2017) Quantitative Ethnography. ISBN: 0578191687) is a method used to identify meaningful and quantifiable patterns in discourse or reasoning. ENA moves beyond the traditional frequency-based assessments by examining the structure of the co-occurrence, or connections in coded data. Moreover, compared to other methodological approaches, ENA has the novelty of (1) modeling whole networks of connections and (2) affording both quantitative and qualitative comparisons between different network models. Shaffer, D.W., Collier, W., & Ruis, A.R. (2016) <doi:10.18608/jla.2016.33.3>.
Author: Cody L Marquart [aut, cre] (<https://orcid.org/0000-0002-3387-6792>), Zachari Swiecki [aut], Wesley Collier [aut], Brendan Eagan [aut], Roman Woodward [aut], David Williamson Shaffer [aut]
Maintainer: Cody L Marquart <cody.marquart@wisc.edu>

Diff between rENA versions 0.2.0.0 dated 2019-10-07 and 0.2.0.1 dated 2019-12-17

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Package NonProbEst updated to version 0.2.3 with previous version 0.2.2 dated 2019-11-29

Title: Estimation in Nonprobability Sampling
Description: Different inference procedures are proposed in the literature to correct for selection bias that might be introduced with non-random selection mechanisms. A class of methods to correct for selection bias is to apply a statistical model to predict the units not in the sample (super-population modeling). Other studies use calibration or Statistical Matching (statistically match nonprobability and probability samples). To date, the more relevant methods are weighting by Propensity Score Adjustment (PSA). The Propensity Score Adjustment method was originally developed to construct weights by estimating response probabilities and using them in Horvitz–Thompson type estimators. This method is usually used by combining a non-probability sample with a reference sample to construct propensity models for the non-probability sample. Calibration can be used in a posterior way to adding information of auxiliary variables. Propensity scores in PSA are usually estimated using logistic regression models. Machine learning classification algorithms can be used as alternatives for logistic regression as a technique to estimate propensities. The package 'NonProbEst' implements some of these methods and thus provides a wide options to work with data coming from a non-probabilistic sample.
Author: Luis Castro Martín <luiscastro193@gmail.com>, Ramón Ferri García <rferri@ugr.es> and María del Mar Rueda <mrueda@ugr.es>
Maintainer: Luis Castro Martín <luiscastro193@gmail.com>

Diff between NonProbEst versions 0.2.2 dated 2019-11-29 and 0.2.3 dated 2019-12-17

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Package TimeSeries.OBeu updated to version 1.2.4 with previous version 1.2.3 dated 2019-01-20

Title: Time Series Analysis 'OpenBudgets.eu'
Description: Estimate and return the needed parameters for visualizations designed for 'OpenBudgets.eu' <http://openbudgets.eu/> time series data. Calculate time series model and forecast parameters in budget time series data of municipalities across Europe, according to the 'OpenBudgets.eu' data model. There are functions for measuring deterministic and stochastic trend of the input time series data with 'ACF', 'PACF', 'Phillips Perron' test, 'Augmented Dickey Fuller (ADF)' test, 'Kwiatkowski-Phillips-Schmidt-Shin (KPSS)' test, 'Mann Kendall' test for monotonic trend and 'Cox and Stuart' trend test, decomposing with local regression models or 'stl' decomposition, fitting the appropriate 'arima' model and provide forecasts for the input 'OpenBudgets.eu' time series fiscal data. Also, can be used generally to extract visualization parameters convert them to 'JSON' format and use them as input in a different graphical interface.
Author: Kleanthis Koupidis [aut, cre], Charalampos Bratsas [aut]
Maintainer: Kleanthis Koupidis <koupidis@okfn.gr>

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New package Pareto with initial version 1.1.0
Package: Pareto
Type: Package
Title: The Pareto and the Piecewise Pareto Distribution
Version: 1.1.0
Authors@R: person("Ulrich", "Riegel", email = "ulrich.riegel@gmx.de", role = c("aut", "cre"))
Description: Utilities for the Pareto and piecewise Pareto distribution that are useful for reinsurance pricing. In particular, the package provides a non-trivial algorithm that can be used to match the expected losses of a tower of reinsurance layers with a layer-independent collective risk model. The theoretical background of the matching algorithm and most other methods are described in Ulrich Riegel (2018) <doi:10.1007/s13385-018-0177-3>.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.1
VignetteBuilder: knitr
Depends: R (>= 2.10)
Suggests: testthat, knitr, rmarkdown
URL: https://github.com/ulrichriegel/Pareto#pareto
Language: en-US
NeedsCompilation: no
Packaged: 2019-12-16 22:01:37 UTC; Uli
Author: Ulrich Riegel [aut, cre]
Maintainer: Ulrich Riegel <ulrich.riegel@gmx.de>
Repository: CRAN
Date/Publication: 2019-12-17 15:50:02 UTC

More information about Pareto at CRAN
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Package istacr updated to version 0.1.1 with previous version 0.1.0 dated 2019-05-03

Title: Obtaining Open Data from Instituto Canario De Estadistica (ISTAC) API
Description: You can access to open data published in Instituto Canario De Estadistica (ISTAC) APIs at <https://www.gobiernodecanarias.org/istac/api/>.
Author: Alberto Gonzalez [aut, cre]
Maintainer: Alberto Gonzalez <jgonyanp@gobiernodecanarias.org>

Diff between istacr versions 0.1.0 dated 2019-05-03 and 0.1.1 dated 2019-12-17

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 R/indicators_indicators.R                                                          |    2 
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 R/structural_resources_category.R                                                  |    2 
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 man/get_indicators_code_data.Rd                                                    |    2 
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Package vetr updated to version 0.2.8 with previous version 0.2.7 dated 2019-03-15

Title: Trust, but Verify
Description: Declarative template-based framework for verifying that objects meet structural requirements, and auto-composing error messages when they do not.
Author: Brodie Gaslam [aut, cre], Paxdiablo [cph] (Hash table implementation in src/pfhash.h), R Core Team [cph] (Used/adapted several code snippets from R sources, see src/misc-alike.c and src/valname.c)
Maintainer: Brodie Gaslam <brodie.gaslam@yahoo.com>

Diff between vetr versions 0.2.7 dated 2019-03-15 and 0.2.8 dated 2019-12-17

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Package SDMtune updated to version 1.0.1 with previous version 1.0.0 dated 2019-12-10

Title: Species Distribution Model Selection
Description: User-friendly framework that enables the training and the evaluation of species distribution models (SDMs). The package implements functions for data driven variable selection and model tuning and includes numerous utilities to display the results. All the functions used to select variables or to tune model hyperparameters have an interactive real-time chart displayed in the 'RStudio' viewer pane during their execution.
Author: Sergio Vignali [aut, cre] (<https://orcid.org/0000-0002-3390-5442>), Arnaud Barras [aut] (<https://orcid.org/0000-0003-0850-6965>), Veronika Braunisch [aut] (<https://orcid.org/0000-0001-7035-4662>), Conservation Biology - University of Bern [fnd]
Maintainer: Sergio Vignali <sergio.vignali@iee.unibe.ch>

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Package sctransform updated to version 0.2.1 with previous version 0.2.0 dated 2019-04-12

Title: Variance Stabilizing Transformations for Single Cell UMI Data
Description: A normalization method for single-cell UMI count data using a variance stabilizing transformation. The transformation is based on a negative binomial regression model with regularized parameters. As part of the same regression framework, this package also provides functions for batch correction, and data correction. See Hafemeister and Satija 2019 <doi:10.1101/576827> for more details.
Author: Christoph Hafemeister [aut, cre] (<https://orcid.org/0000-0001-6365-8254>)
Maintainer: Christoph Hafemeister <chafemeister@nygenome.org>

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Package qgg updated to version 1.0.1 with previous version 1.0.0 dated 2019-12-13

Title: Statistical Tools for Quantitative Genetic Analyses
Description: Provides an infrastructure for efficient processing of large-scale genetic and phenotypic data including core functions for: 1) fitting linear mixed models, 2) constructing marker-based genomic relationship matrices, 3) estimating genetic parameters (heritability and correlation), 4) performing genomic prediction and genetic risk profiling, and 5) single or multi-marker association analyses. Rohde et al. (2019) <doi:10.1101/503631>.
Author: Peter Soerensen [aut, cre], Palle Duun Rohde [aut], Izel Fourie Soerensen [aut]
Maintainer: Peter Soerensen <peter.sorensen@r-qgg.org>

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Package psychonetrics updated to version 0.4 with previous version 0.3.3 dated 2019-07-06

Title: Structural Equation Modeling and Confirmatory Network Analysis
Description: Multi-group (dynamical) structural equation models in combination with confirmatory network models from cross-sectional, time-series and panel data. Allows for confirmatory testing and fit as well as exploratory model search.
Author: Sacha Epskamp
Maintainer: Sacha Epskamp <mail@sachaepskamp.com>

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Package insol updated to version 1.2.1 with previous version 1.2 dated 2019-01-16

Title: Solar Radiation
Description: Functions to compute insolation on complex terrain.
Author: Javier G. Corripio
Maintainer: Javier G. Corripio <jgc@meteoexploration.com>

Diff between insol versions 1.2 dated 2019-01-16 and 1.2.1 dated 2019-12-17

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New package FOCI with initial version 0.1.0
Package: FOCI
Type: Package
Title: Feature Ordering by Conditional Independence
Version: 0.1.0
Authors@R: c(person("Mona", "Azadkia", email = "monaazadkia@gmail.com", role = c("aut", "cre")), person("Sourav", "Chatterjee", email = "souravc@stanford.edu", role = c("aut", "ctb")))
Maintainer: Mona Azadkia <monaazadkia@gmail.com>
Description: Feature Ordering by Conditional Independence (FOCI) is a variable selection algorithm based on the measure of conditional dependence. For more information, see the paper: Azadkia and Chatterjee (2019),"A simple measure of conditional dependence" <arXiv:1910.12327>.
License: GPL-3
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 7.0.2
Suggests: knitr, rmarkdown
Imports: RANN, magrittr, dplyr, proxy
NeedsCompilation: no
Packaged: 2019-12-16 17:24:06 UTC; monaazadkia
Author: Mona Azadkia [aut, cre], Sourav Chatterjee [aut, ctb]
Repository: CRAN
Date/Publication: 2019-12-17 14:50:02 UTC

More information about FOCI at CRAN
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Package Cluster.OBeu updated to version 1.2.3 with previous version 1.2.2 dated 2019-01-20

Title: Cluster Analysis 'OpenBudgets.eu'
Description: Estimate and return the needed parameters for visualisations designed for 'OpenBudgets' <http://openbudgets.eu/> data. Calculate cluster analysis measures in Budget data of municipalities across Europe, according to the 'OpenBudgets' data model. It involves a set of techniques and algorithms used to find and divide the data into groups of similar observations. Also, can be used generally to extract visualisation parameters convert them to 'JSON' format and use them as input in a different graphical interface.
Author: Kleanthis Koupidis [aut, cre], Charalampos Bratsas [aut], Jaroslav Kuchar [ctb]
Maintainer: Kleanthis Koupidis <koupidis@okfn.gr>

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Package cattonum updated to version 0.0.3 with previous version 0.0.2 dated 2018-05-01

Title: Encode Categorical Features
Description: Functions for dummy encoding, frequency encoding, label encoding, leave-one-out encoding, mean encoding, median encoding, and one-hot encoding.
Author: Bernie Gray [aut, cre] (<https://orcid.org/0000-0001-9190-6032>), Mark Roepke [ctb]
Maintainer: Bernie Gray <bfgray3@gmail.com>

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Package WorldFlora updated to version 1.1 with previous version 1.0 dated 2019-12-13

Title: Standardize Plant Names According to World Flora Online Taxonomic Backbone
Description: World Flora Online is an online flora of all known plants, available from <http://www.worldfloraonline.org/>. Methods are provided of matching a list of plant names (scientific names, taxonomic names, botanical names) against a static copy of the World Flora Online Taxonomic Backbone data that can be downloaded from the World Flora Online website. The World Flora Online Taxonomic Backbone is an updated version of The Plant List (<http://www.theplantlist.org/>), a working list of plant names that has become static since 2013.
Author: Roeland Kindt
Maintainer: Roeland Kindt <R.KINDT@CGIAR.ORG>

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New package sigInt with initial version 0.2.0
Package: sigInt
Title: Estimate the Parameters of a Discrete Crisis-Bargaining Game
Version: 0.2.0
Authors@R: c(person("Casey", "Crisman-Cox", email = "ccrismancox@gmail.com", role = c("aut", "cre")), person("Michael", "Gibilisco", email = "michael.gibilisco@caltech.edu", role = c("aut")))
Description: Provides pseudo-likelihood methods for empirically analyzing common signaling games in international relations as described in Crisman-Cox and Gibilisco (2019) <doi:10.1017/psrm.2019.58>.
Depends: R (>= 3.4.0)
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
URL: https://github.com/ccrismancox/sigint
Maintainer: Casey Crisman-Cox <ccrismancox@gmail.com>
Author: Casey Crisman-Cox [aut, cre], Michael Gibilisco [aut]
RoxygenNote: 7.0.2
Imports: randomForest, stringr, pbivnorm, Formula, maxLik, xtable, MASS
Suggests: parallel
Collate: 'convergence.r' 'doc.r' 'estimationfunctions.r' 'generate.eq.r' 'grfunctions.r' 'plot.sigProb.r' 'predict.sigfit.r' 'print.sigfit.r' 'sigint.r' 'summary.sigfit.r' 'toLatex.sigfit.r'
NeedsCompilation: no
Packaged: 2019-12-12 21:40:39 UTC; cox
Repository: CRAN
Date/Publication: 2019-12-17 13:20:02 UTC

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Package reticulate updated to version 1.14 with previous version 1.13 dated 2019-07-24

Title: Interface to 'Python'
Description: Interface to 'Python' modules, classes, and functions. When calling into 'Python', R data types are automatically converted to their equivalent 'Python' types. When values are returned from 'Python' to R they are converted back to R types. Compatible with all versions of 'Python' >= 2.7.
Author: Kevin Ushey [aut, cre], JJ Allaire [aut], RStudio [cph, fnd], Yuan Tang [aut, cph] (<https://orcid.org/0000-0001-5243-233X>), Dirk Eddelbuettel [ctb, cph], Bryan Lewis [ctb, cph], Ryan Hafen [ctb, cph], Marcus Geelnard [ctb, cph] (TinyThread library, http://tinythreadpp.bitsnbites.eu/)
Maintainer: Kevin Ushey <kevin@rstudio.com>

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Package madrat updated to version 1.64.5 with previous version 1.64.4 dated 2019-12-16

Title: May All Data be Reproducible and Transparent (MADRaT) *
Description: Provides a framework which should improve reproducibility and transparency in data processing. It provides functionality such as automatic meta data creation and management, rudimentary quality management, data caching, work-flow management and data aggregation. * The title is a wish not a promise. By no means we expect this package to deliver everything what is needed to achieve full reproducibility and transparency, but we believe that it supports efforts in this direction.
Author: Jan Philipp Dietrich [aut, cre], Lavinia Baumstark [aut], Stephen Wirth [aut], Anastasis Giannousakis [aut], Renato Rodrigues [aut], Benjamin Leon Bodirsky [aut], Ulrich Kreidenweis [aut]
Maintainer: Jan Philipp Dietrich <dietrich@pik-potsdam.de>

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Package disaggregation updated to version 0.1.2 with previous version 0.1.1 dated 2019-12-09

Title: Disaggregation Modelling
Description: Fits disaggregation regression models using 'TMB' ('Template Model Builder'). When the response data are aggregated to polygon level but the predictor variables are at a higher resolution, these models can be useful. Regression models with spatial random fields. A useful reference for disaggregation modelling is Lucas et al. (2019) <doi:10.1101/548719>.
Author: Anita Nandi [aut, cre] (<https://orcid.org/0000-0002-5087-2494>), Tim Lucas [aut] (<https://orcid.org/0000-0003-4694-8107>), Rohan Arambepola [aut], Andre Python [aut] (<https://orcid.org/0000-0001-8094-7226>)
Maintainer: Anita Nandi <anita.k.nandi@gmail.com>

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Package nat.nblast (with last version 1.6.2) was removed from CRAN

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

2016-04-26 1.6.2
2014-09-19 1.5

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Package qiimer (with last version 0.9.4) was removed from CRAN

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

2015-12-27 0.9.4
2014-01-02 0.9.2
2013-10-05 0.9.1

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Package live (with last version 1.5.11) was removed from CRAN

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

2019-11-15 1.5.11
2019-02-28 1.5.10
2018-11-12 1.5.9
2018-09-24 1.5.8
2018-06-03 1.5.7
2018-05-13 1.5.4
2018-05-06 1.5.3
2018-04-03 1.4.2

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Package trimmer updated to version 0.7.6 with previous version 0.7.5 dated 2019-12-15

Title: Trim an Object
Description: A lightweight toolkit to reduce the size of a list object. The object is minimized by recursively removing elements from the object one-by-one. The process is constrained by a reference function call specified by the user, where the target object is given as an argument. The procedure will not allow elements to be removed from the object, that will cause results from the function call to diverge from the function call with the original object.
Author: Lars Kjeldgaard [aut, cre]
Maintainer: Lars Kjeldgaard <lars_kjeldgaard@hotmail.com>

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Package stm updated to version 1.3.5 with previous version 1.3.4 dated 2019-10-30

Title: Estimation of the Structural Topic Model
Description: The Structural Topic Model (STM) allows researchers to estimate topic models with document-level covariates. The package also includes tools for model selection, visualization, and estimation of topic-covariate regressions. Methods developed in Roberts et al (2014) <doi:10.1111/ajps.12103> and Roberts et al (2016) <doi:10.1080/01621459.2016.1141684>. Vignette is Roberts et al (2019) <doi:10.18637/jss.v091.i02>.
Author: Margaret Roberts [aut], Brandon Stewart [aut, cre], Dustin Tingley [aut], Kenneth Benoit [ctb]
Maintainer: Brandon Stewart <bms4@princeton.edu>

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Package secr updated to version 4.1.0 with previous version 4.0.2 dated 2019-11-11

Title: Spatially Explicit Capture-Recapture
Description: Functions to estimate the density and size of a spatially distributed animal population sampled with an array of passive detectors, such as traps, or by searching polygons or transects. Models incorporating distance-dependent detection are fitted by maximizing the likelihood. Tools are included for data manipulation and model selection.
Author: Murray Efford
Maintainer: Murray Efford <murray.efford@otago.ac.nz>

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Package polmineR updated to version 0.8.0 with previous version 0.7.11 dated 2019-01-08

Title: Toolkit for Corpus Analysis
Description: Library for corpus analysis using the Corpus Workbench as an efficient back end for indexing and querying large corpora. The package offers functionality to flexibly create partitions and to carry out basic statistical operations (count, co-occurrences etc.). The original full text of documents can be reconstructed and inspected at any time. Beyond that, the package is intended to serve as an interface to packages implementing advanced statistical procedures. Respective data structures (document term matrices, term co- occurrence matrices etc.) can be created based on the indexed corpora.
Author: Andreas Blaette [aut, cre] (<https://orcid.org/0000-0001-8970-8010>), Christoph Leonhardt [ctb]
Maintainer: Andreas Blaette <andreas.blaette@uni-due.de>

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Permanent link

New package naaccr with initial version 1.0.0
Package: naaccr
Type: Package
Title: Read Cancer Records in the NAACCR Format
Version: 1.0.0
Author: Nathan Werth [aut, cre], Pennsylvania Department of Health [cph], North American Association of Cancer Registries [cph], World Health Organization [cph], United States Centers for Disease Control and Prevention [ctb], United States Bureau of the Census [ctb], United States National Program of Cancer Registries [ctb]
Maintainer: Nathan Werth <nwerth@pa.gov>
Description: Functions for reading cancer record files which follow a format defined by the North American Association of Central Cancer Registries (NAACCR).
URL: https://github.com/WerthPADOH/naaccr
BugReports: https://github.com/WerthPADOH/naaccr/issues
Imports: data.table, stringi, utils
Suggests: devtools, httr, jsonlite, magrittr, testthat, ISOcodes, xml2, rmarkdown, roxygen2, rvest
License: MIT + file LICENSE
Copyright: file COPYRIGHTS
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-12-12 16:30:23 UTC; nwerth
Repository: CRAN
Date/Publication: 2019-12-17 12:20:05 UTC

More information about naaccr at CRAN
Permanent link

Package gld updated to version 2.6.1 with previous version 2.6 dated 2019-09-02

Title: Estimation and Use of the Generalised (Tukey) Lambda Distribution
Description: The generalised lambda distribution, or Tukey lambda distribution, provides a wide variety of shapes with one functional form. This package provides random numbers, quantiles, probabilities, densities and density quantiles for four different types of the distribution, the FKML (Freimer et al 1988), RS (Ramberg and Schmeiser 1974), GPD (van Staden and Loots 2009) and FM5 - see documentation for details. It provides the density function, distribution function, and Quantile-Quantile plots. It implements a variety of estimation methods for the distribution, including diagnostic plots. Estimation methods include the starship (all 4 types), method of L-Moments for the GPD and FKML types, and a number of methods for only the FKML type. These include maximum likelihood, maximum product of spacings, Titterington's method, Moments, Trimmed L-Moments and Distributional Least Absolutes.
Author: Robert King <Robert.King@newcastle.edu.au>, Benjamin Dean <Benjamin.Dean@uon.edu.au>, Sigbert Klinke, Paul van Staden
Maintainer: Robert King <Robert.King@newcastle.edu.au>

Diff between gld versions 2.6 dated 2019-09-02 and 2.6.1 dated 2019-12-17

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Package cwbtools updated to version 0.1.2 with previous version 0.1.1 dated 2019-12-09

Title: Tools to create, modify and manage 'CWB' Corpora
Description: The 'Corpus Workbench' ('CWB', <http://cwb.sourceforge.net/>) offers a classic and mature approach for working with large, linguistically and structurally annotated corpora. The 'CWB' is memory efficient and its design makes running queries fast (Evert and Hardie 2011, <http://www.stefan-evert.de/PUB/EvertHardie2011.pdf>). The 'cwbtools' package offers pure R tools to create indexed corpus files as well as high-level wrappers for the original C implementation of CWB as exposed by the 'RcppCWB' package <https://CRAN.R-project.org/package=RcppCWB>. Additional functionality to add and modify annotations of corpora from within R makes working with CWB indexed corpora much more flexible and convenient. The 'cwbtools' package in combination with the R packages 'RcppCWB' (<https://CRAN.R-project.org/package=RcppCWB>) and 'polmineR' (<https://CRAN.R-project.org/package=polmineR>) offers a lightweight infrastructure to support the combination of quantitative and qualitative approaches for working with textual data.
Author: Andreas Blaette [aut, cre], Christoph Leonhardt [ctb]
Maintainer: Andreas Blaette <andreas.blaette@uni-due.de>

Diff between cwbtools versions 0.1.1 dated 2019-12-09 and 0.1.2 dated 2019-12-17

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Package BH updated to version 1.72.0-2 with previous version 1.72.0-1 dated 2019-12-16

Title: Boost C++ Header Files
Description: Boost provides free peer-reviewed portable C++ source libraries. A large part of Boost is provided as C++ template code which is resolved entirely at compile-time without linking. This package aims to provide the most useful subset of Boost libraries for template use among CRAN packages. By placing these libraries in this package, we offer a more efficient distribution system for CRAN as replication of this code in the sources of other packages is avoided. As of release 1.72.0-1, the following Boost libraries are included: 'algorithm' 'align' 'any' 'atomic' 'bimap' 'bind' 'circular_buffer' 'compute' 'concept' 'config' 'container' 'date_time' 'detail' 'dynamic_bitset' 'exception' 'flyweight' 'foreach' 'functional' 'fusion' 'geometry' 'graph' 'heap' 'icl' 'integer' 'interprocess' 'intrusive' 'io' 'iostreams' 'iterator' 'math' 'move' 'mp11' 'mpl' 'multiprcecision' 'numeric' 'pending' 'phoenix' 'polygon' 'preprocessor' 'propery_tree' 'random' 'range' 'scope_exit' 'smart_ptr' 'sort' 'spirit' 'tuple' 'type_traits' 'typeof' 'unordered' 'utility' 'uuid'.
Author: Dirk Eddelbuettel, John W. Emerson and Michael J. Kane
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between BH versions 1.72.0-1 dated 2019-12-16 and 1.72.0-2 dated 2019-12-17

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 BH-1.72.0-2/BH/DESCRIPTION                                                                   |   26 +++++-----
 BH-1.72.0-2/BH/MD5                                                                           |   10 +--
 BH-1.72.0-2/BH/build/partial.rdb                                                             |binary
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Package BayesSUR updated to version 1.0-4 with previous version 1.0-3 dated 2019-12-07

Title: Bayesian Seemingly Unrelated Regression
Description: Bayesian seemingly unrelated regression with general variable selection and dense/sparse covariance matrix. The sparse seemingly unrelated regression is described in Banterle et al. (2018) <doi:10.1101/467019>.
Author: Marco Banterle [aut], Zhi Zhao [aut, cre], Leonardo Bottolo [ctb], Sylvia Richardson [ctb], Alex Lewin [aut], Manuela Zucknick [ctb], Waldir Leoncio [ctb]
Maintainer: Zhi Zhao <zhi.zhao@medisin.uio.no>

Diff between BayesSUR versions 1.0-3 dated 2019-12-07 and 1.0-4 dated 2019-12-17

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New package stray with initial version 0.1.0
Package: stray
Type: Package
Title: Anomaly Detection in High Dimensional and Temporal Data
Version: 0.1.0
Depends: R (>= 3.4.0)
Imports: FNN, ggplot2, colorspace, pcaPP, stats, ks
Authors@R: c(person("Priyanga Dilini", "Talagala", email="pritalagala@gmail.com", role= c("aut","cre"), comment = c(ORCID = "0000-0003-2870-7449")), person("Rob J", "Hyndman", email="rob.hyndman@monash.edu", role=c("ths"), comment = c(ORCID = "0000-0002-2140-5352")), person("Kate", "Smith-Miles", email="smith-miles@unimelb.edu.au", role=c("ths")))
Description: This is a modification of 'HDoutliers' package. The 'HDoutliers' algorithm is a powerful unsupervised algorithm for detecting anomalies in high-dimensional data, with a strong theoretical foundation. However, it suffers from some limitations that significantly hinder its performance level, under certain circumstances. This package implements the algorithm proposed in Talagala, Hyndman and Smith-Miles (2019) <arXiv:1908.04000> for detecting anomalies in high-dimensional data that addresses these limitations of 'HDoutliers' algorithm. We define an anomaly as an observation that deviates markedly from the majority with a large distance gap. An approach based on extreme value theory is used for the anomalous threshold calculation.
BugReports: https://github.com/pridiltal/stray/issues
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-12-12 10:05:20 UTC; priyangatalagala
Author: Priyanga Dilini Talagala [aut, cre] (<https://orcid.org/0000-0003-2870-7449>), Rob J Hyndman [ths] (<https://orcid.org/0000-0002-2140-5352>), Kate Smith-Miles [ths]
Maintainer: Priyanga Dilini Talagala <pritalagala@gmail.com>
Repository: CRAN
Date/Publication: 2019-12-17 11:50:03 UTC

More information about stray at CRAN
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Package rfacebookstat updated to version 2.0.0 with previous version 1.10.0 dated 2019-09-10

Title: Load Data from Facebook API Marketing
Description: Load data by campaigns, ads, ad sets and insights, ad account and business manager from Facebook Marketing API into R. For more details see official documents by Facebook Marketing API <https://developers.facebook.com/docs/marketing-apis/>.
Author: Alexey Seleznev <selesnow@gmail.com>
Maintainer: Alexey Seleznev <selesnow@gmail.com>

Diff between rfacebookstat versions 1.10.0 dated 2019-09-10 and 2.0.0 dated 2019-12-17

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Package eseis updated to version 0.5.0 with previous version 0.4.0 dated 2018-06-14

Title: Environmental Seismology Toolbox
Description: Environmental seismology is a scientific field that studies the seismic signals, emitted by Earth surface processes. This package provides all relevant functions to read/write seismic data files, prepare, analyse and visualise seismic data, and generate reports of the processing history.
Author: Michael Dietze [cre, aut, trl], Christoph Burow [ctb], Sophie Lagarde [ctb, trl]
Maintainer: Michael Dietze <mdietze@gfz-potsdam.de>

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Package rags2ridges updated to version 2.2.2 with previous version 2.2.1 dated 2019-03-19

Title: Ridge Estimation of Precision Matrices from High-Dimensional Data
Description: Proper L2-penalized ML estimators for the precision matrix as well as supporting functions to employ these estimators in a graphical modeling setting.
Author: Carel F.W. Peeters [cre, aut], Anders Ellern Bilgrau [aut], Wessel N. van Wieringen [aut]
Maintainer: Carel F.W. Peeters <cf.peeters@vumc.nl>

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Package shortcuts updated to version 1.4.0 with previous version 1.3.0 dated 2019-12-02

Title: Useful Shortcuts to Interact with 'RStudio' Scripts
Description: Integrates clipboard copied data in R Studio, loads and installs libraries within a R script and returns all valid arguments of a selected function.
Author: José Carlos Del Valle <jcval94@gmail.com>
Maintainer: José Carlos Del Valle <jcval94@gmail.com>

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Package RPESE updated to version 1.0.1 with previous version 1.0 dated 2019-11-06

Title: Estimates of Standard Errors for Risk and Performance Measures
Description: Estimates of standard errors of popular risk and performance measures for asset or portfolio returns using methods as described in Chen and Martin (2019) <https://ssrn.com/abstract=3085672>.
Author: Anthony Christidis <anthony.christidis@stat.ubc.ca>, Xin Chen <chenx26@uw.edu>
Maintainer: Anthony Christidis <anthony.christidis@stat.ubc.ca>

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Package fishtree updated to version 0.3.2 with previous version 0.3.1 dated 2019-05-31

Title: Interface to the Fish Tree of Life API
Description: An interface to the Fish Tree of Life API to download taxonomies, phylogenies, fossil calibrations, and diversification rate information for ray-finned fishes.
Author: Jonathan Chang [aut, cre] (<https://orcid.org/0000-0002-3811-1254>), Michael E Alfaro [ctb], Daniel L Rabosky [ctb], Stephen A Smith [ctb]
Maintainer: Jonathan Chang <jonathan.chang@ucla.edu>

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Package runjags updated to version 2.0.4-6 with previous version 2.0.4-4 dated 2019-08-29

Title: Interface Utilities, Model Templates, Parallel Computing Methods and Additional Distributions for MCMC Models in JAGS
Description: User-friendly interface utilities for MCMC models via Just Another Gibbs Sampler (JAGS), facilitating the use of parallel (or distributed) processors for multiple chains, automated control of convergence and sample length diagnostics, and evaluation of the performance of a model using drop-k validation or against simulated data. Template model specifications can be generated using a standard lme4-style formula interface to assist users less familiar with the BUGS syntax. A JAGS extension module provides additional distributions including the Pareto family of distributions, the DuMouchel prior and the half-Cauchy prior.
Author: Matthew Denwood [aut, cre], Martyn Plummer [cph] (Copyright holder of the code in /src/distributions/jags, src/distributions/DPar1.*, configure.ac, and original copyright holder of some modified code where indicated)
Maintainer: Matthew Denwood <md@sund.ku.dk>

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Package QRM updated to version 0.4-16 with previous version 0.4-13 dated 2016-03-18

Title: Provides R-Language Code to Examine Quantitative Risk Management Concepts
Description: Provides functions/methods to accompany the book Quantitative Risk Management: Concepts, Techniques and Tools by Alexander J. McNeil, Rudiger Frey, and Paul Embrechts.
Author: Bernhard Pfaff [aut, cre], Marius Hofert [ctb], Alexander McNeil [aut] (S-Plus original (QRMlib)), Scott Ulmann [trl] (First R port as package QRMlib)
Maintainer: Bernhard Pfaff <bernhard@pfaffikus.de>

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Package Ball updated to version 1.3.9 with previous version 1.3.8 dated 2019-05-31

Title: Statistical Inference and Sure Independence Screening via Ball Statistics
Description: Hypothesis tests and sure independence screening (SIS) procedure based on ball statistics, including ball divergence <doi:10.1214/17-AOS1579>, ball covariance <doi:10.1080/01621459.2018.1543600>, and ball correlation <doi:10.1080/01621459.2018.1462709>, are developed to analyze complex data in metric spaces, e.g, shape, directional, compositional and symmetric positive definite matrix data. The ball divergence and ball covariance based distribution-free tests are implemented to detecting distribution difference and association in metric spaces <arXiv:1811.03750>. Furthermore, several generic non-parametric feature selection procedures based on ball correlation, BCor-SIS and all of its variants, are implemented to tackle the challenge in the context of ultra high dimensional data.
Author: Xueqin Wang, Wenliang Pan, Heping Zhang, Hongtu Zhu, Yuan Tian, Weinan Xiao, Chengfeng Liu, Ruihuang Liu, Jin Zhu
Maintainer: Jin Zhu <zhuj37@mail2.sysu.edu.cn>

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Package rosr (with last version 0.0.8) was removed from CRAN

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

2019-07-12 0.0.8
2019-05-02 0.0.7
2019-03-23 0.0.6
2019-02-24 0.0.5
2019-02-13 0.0.4
2019-02-12 0.0.3

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Package ChocoLattes (with last version 0.1.0) was removed from CRAN

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

2017-04-29 0.1.0

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Package sinx (with last version 0.0.12) was removed from CRAN

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

2019-07-12 0.0.12

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Package mudata2 (with last version 1.0.7) was removed from CRAN

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

2019-08-29 1.0.7
2019-03-16 1.0.6
2019-01-11 1.0.5
2018-12-08 1.0.4
2018-08-19 1.0.2.1
2018-08-19 1.0.3
2018-04-09 1.0.2
2017-11-12 1.0.0

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Package rchallenge (with last version 1.3.0) was removed from CRAN

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

2016-10-23 1.3.0
2016-10-05 1.2.0
2015-11-26 1.1.1
2015-05-17 1.1

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Package RClickhouse (with last version 0.4.0) was removed from CRAN

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

2018-01-20 0.4.0
2017-11-26 0.3.0

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Package noteMD (with last version 0.1.0) was removed from CRAN

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2019-03-06 0.1.0

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Package revtools updated to version 0.4.1 with previous version 0.4.0 dated 2019-07-15

Title: Tools to Support Evidence Synthesis
Description: Researchers commonly need to summarize scientific information, a process known as 'evidence synthesis'. The first stage of a synthesis process (such as a systematic review or meta-analysis) is to download a list of references from academic search engines such as 'Web of Knowledge' or 'Scopus'. The traditional approach to systematic review is then to sort these data manually, first by locating and removing duplicated entries, and then screening to remove irrelevant content by viewing titles and abstracts (in that order). 'revtools' provides interfaces for each of these tasks. An alternative approach, however, is to draw on tools from machine learning to visualise patterns in the corpus. In this case, you can use 'revtools' to render ordinations of text drawn from article titles, keywords and abstracts, and interactively select or exclude individual references, words or topics.
Author: Martin J. Westgate [aut, cre]
Maintainer: Martin J. Westgate <martinjwestgate@gmail.com>

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Package Rgbp updated to version 1.1.4 with previous version 1.1.3 dated 2018-05-17

Title: Hierarchical Modeling and Frequency Method Checking on Overdispersed Gaussian, Poisson, and Binomial Data
Description: We utilize approximate Bayesian machinery to fit two-level conjugate hierarchical models on overdispersed Gaussian, Poisson, and Binomial data and evaluates whether the resulting approximate Bayesian interval estimates for random effects meet the nominal confidence levels via frequency coverage evaluation. The data that Rgbp assumes comprise observed sufficient statistic for each random effect, such as an average or a proportion of each group, without population-level data. The approximate Bayesian tool equipped with the adjustment for density maximization produces approximate point and interval estimates for model parameters including second-level variance component, regression coefficients, and random effect. For the Binomial data, the package provides an option to produce posterior samples of all the model parameters via the acceptance-rejection method. The package provides a quick way to evaluate coverage rates of the resultant Bayesian interval estimates for random effects via a parametric bootstrapping, which we call frequency method checking.
Author: Joseph Kelly, Hyungsuk Tak, and Carl Morris
Maintainer: Joseph Kelly <josephkelly@post.harvard.edu>

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Package io updated to version 0.3.2 with previous version 0.3.0 dated 2018-01-15

Title: A Unified Framework for Input-Output Operations in R
Description: One function to read files. One function to write files. One function to direct plots to screen or file. Automatic file format inference and directory structure creation.
Author: David J. H. Shih
Maintainer: David J. H. Shih <djh.shih@gmail.com>

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Package goffda updated to version 0.0.6 with previous version 0.0.5 dated 2019-10-01

Title: Goodness-of-Fit Tests for Functional Data
Description: Implementation of several goodness-of-fit tests for functional data. Currently, mostly related with the functional linear model with functional/scalar response and functional/scalar predictor. The package allows for the replication of the data applications considered in García-Portugués, Álvarez-Liébana, Álvarez-Pérez and González-Manteiga (2019) <arXiv:1909.07686>.
Author: Eduardo García-Portugués [aut, cre], Javier Álvarez-Liébana [aut], Gonzalo Álvarez-Pérez [ctb], Manuel Febrero-Bande [ctb]
Maintainer: Eduardo García-Portugués <edgarcia@est-econ.uc3m.es>

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Package bcdata updated to version 0.1.2 with previous version 0.1.1 dated 2019-11-05

Title: Search and Retrieve Data from the BC Data Catalogue
Description: Search, query, and download tabular and 'geospatial' data from the British Columbia Data Catalogue (<https://catalogue.data.gov.bc.ca/>). Search catalogue data records based on keywords, data licence, sector, data format, and B.C. government organization. View metadata directly in R, download many data formats, and query 'geospatial' data available via the B.C. government Web Feature Service ('WFS') using 'dplyr' syntax.
Author: Andy Teucher [aut, cre] (<https://orcid.org/0000-0002-7840-692X>), Sam Albers [aut, ctb] (<https://orcid.org/0000-0002-9270-7884>), Stephanie Hazlitt [aut, ctb], Province of British Columbia [cph]
Maintainer: Andy Teucher <andy.teucher@gov.bc.ca>

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Package argparser updated to version 0.6 with previous version 0.4 dated 2016-04-04

Title: Command-Line Argument Parser
Description: Cross-platform command-line argument parser written purely in R with no external dependencies. It is useful with the Rscript front-end and facilitates turning an R script into an executable script.
Author: David J. H. Shih
Maintainer: David J. H. Shih <djh.shih@gmail.com>

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Package CB2 updated to version 1.3.0 with previous version 1.2.2 dated 2019-12-03

Title: CRISPR Pooled Screen Analysis using Beta-Binomial Test
Description: Provides functions for hit gene identification and quantification of sgRNA (single-guided RNA) abundances for CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats) pooled screen data analysis. Details are in Jeong et al. (2019) <doi:10.1101/gr.245571.118> and Baggerly et al. (2003) <doi:10.1093/bioinformatics/btg173>.
Author: Hyun-Hwan Jeong [aut, cre]
Maintainer: Hyun-Hwan Jeong <hyun-hwan.jeong@bcm.edu>

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