Tue, 21 Jan 2020

Package rtfbs updated to version 0.3.15 with previous version 0.3.9 dated 2018-01-30

Title: Transcription Factor Binding Site Identification Tool
Description: Identifies and scores possible Transcription Factor Binding Sites and allows for FDR analysis and pruning. It supports splitting of sequences based on size or a specified GFF, grouping by G+C content, and specification of Markov model order. The heavy lifting is done in C while all results are made available via R.
Author: Nicholas Peterson, Andre Martins, Melissa Hubisz, and Adam Siepel
Maintainer: Ritika Ramani<rramani@cshl.edu>

Diff between rtfbs versions 0.3.9 dated 2018-01-30 and 0.3.15 dated 2020-01-21

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Package fabMix updated to version 4.6 with previous version 4.5 dated 2019-01-08

Title: Overfitting Bayesian Mixtures of Factor Analyzers with Parsimonious Covariance and Unknown Number of Components
Description: Model-based clustering of multivariate continuous data using Bayesian mixtures of factor analyzers (Papastamoulis (2019) <DOI:10.1007/s11222-019-09891-z> (2018) <DOI:10.1016/j.csda.2018.03.007>). The number of clusters is estimated using overfitting mixture models (Rousseau and Mengersen (2011) <DOI:10.1111/j.1467-9868.2011.00781.x>): suitable prior assumptions ensure that asymptotically the extra components will have zero posterior weight, therefore, the inference is based on the ``alive'' components. A Gibbs sampler is implemented in order to (approximately) sample from the posterior distribution of the overfitting mixture. A prior parallel tempering scheme is also available, which allows to run multiple parallel chains with different prior distributions on the mixture weights. These chains run in parallel and can swap states using a Metropolis-Hastings move. Eight different parameterizations give rise to parsimonious representations of the covariance per cluster (following Mc Nicholas and Murphy (2008) <DOI:10.1007/s11222-008-9056-0>). The model parameterization and number of factors is selected according to the Bayesian Information Criterion. Identifiability issues related to label switching are dealt by post-processing the simulated output with the Equivalence Classes Representatives algorithm (Papastamoulis and Iliopoulos (2010) <https://www.jstor.org/stable/25703571>, Papastamoulis (2016) <DOI:10.18637/jss.v069.c01>).
Author: Panagiotis Papastamoulis [aut, cre] (<https://orcid.org/0000-0001-9468-7613>)
Maintainer: Panagiotis Papastamoulis <papapast@yahoo.gr>

Diff between fabMix versions 4.5 dated 2019-01-08 and 4.6 dated 2020-01-21

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Package RMaCzek updated to version 1.2.0 with previous version 1.0.0 dated 2019-08-03

Title: Czekanowski's Diagrams
Description: Allows for production of Czekanowski's Diagrams. See A. Vasterlund (2019) Master thesis, Linkoping University.
Author: Albin Vasterlund [aut], Krzysztof Bartoszek [cre, aut, ths]
Maintainer: Krzysztof Bartoszek <krzbar@protonmail.ch>

Diff between RMaCzek versions 1.0.0 dated 2019-08-03 and 1.2.0 dated 2020-01-21

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Package hrcomprisk updated to version 0.1.1 with previous version 0.1.0 dated 2020-01-13

Title: Nonparametric Assessment Between Competing Risks Hazard Ratios
Description: Nonparametric cumulative-incidence based estimation of the ratios of sub-hazard ratios to cause-specific hazard ratios using the approach from Ng et al. (2020).
Author: Daniel Antiporta <dantiporta@jhu.edu>; Matthew Matheson <mmathes4@jhu.edu>; Derek Ng <dng@jhu.edu>; Alvaro Munoz <amunoz@jhu.edu>
Maintainer: Daniel Antiporta <dantiporta@jhu.edu>

Diff between hrcomprisk versions 0.1.0 dated 2020-01-13 and 0.1.1 dated 2020-01-21

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Package gmvarkit updated to version 1.1.2 with previous version 1.1.1 dated 2019-08-28

Title: Estimate Gaussian Mixture Vector Autoregressive Model
Description: Unconstrained and constrained maximum likelihood estimation of Gaussian Mixture Vector Autoregressive (GMVAR) model, quantile residual tests, graphical diagnostics, simulations, and forecasting. Leena Kalliovirta, Mika Meitz, Pentti Saikkonen (2016) <doi:10.1016/j.jeconom.2016.02.012>.
Author: Savi Virolainen [aut, cre]
Maintainer: Savi Virolainen <savi.virolainen@helsinki.fi>

Diff between gmvarkit versions 1.1.1 dated 2019-08-28 and 1.1.2 dated 2020-01-21

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More information about gmvarkit at CRAN
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Package threejs updated to version 0.3.3 with previous version 0.3.1 dated 2017-08-13

Title: Interactive 3D Scatter Plots, Networks and Globes
Description: Create interactive 3D scatter plots, network plots, and globes using the 'three.js' visualization library (<https://threejs.org>).
Author: B. W. Lewis [aut, cre, cph], Three.js authors [cph] (three.js library), jQuery Foundation [cph] (jQuery library), Alexey Stukalov [ctb], Yihui Xie [ctb], Andreas Briese [ctb], B. Thieurmel [ctb]
Maintainer: B. W. Lewis <blewis@illposed.net>

Diff between threejs versions 0.3.1 dated 2017-08-13 and 0.3.3 dated 2020-01-21

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Package cdata updated to version 1.1.5 with previous version 1.1.4 dated 2020-01-08

Title: Fluid Data Transformations
Description: Supplies higher-order coordinatized data specification and fluid transform operators that include pivot and anti-pivot as special cases. The methodology is describe in 'Zumel', 2018, "Fluid data reshaping with 'cdata'", <http://winvector.github.io/FluidData/FluidDataReshapingWithCdata.html> , doi:10.5281/zenodo.1173299 . This package introduces the idea of explicit control table specification of data transforms. Works on in-memory data or on remote data using 'rquery' and 'SQL' database interfaces.
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

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Package UniprotR updated to version 1.2.3 with previous version 1.2.2 dated 2019-11-29

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

Diff between UniprotR versions 1.2.2 dated 2019-11-29 and 1.2.3 dated 2020-01-21

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Package trackdem updated to version 0.5.1 with previous version 0.5 dated 2019-10-17

Title: Particle Tracking and Demography
Description: Obtain population density and body size structure, using video material or image sequences as input. Functions assist in the creation of image sequences from videos, background detection and subtraction, particle identification and tracking. An artificial neural network can be trained for noise filtering. The goal is to supply accurate estimates of population size, structure and/or individual behavior, for use in evolutionary and ecological studies.
Author: Marjolein Bruijning, Marco D. Visser, Caspar A. Hallmann, Eelke Jongejans
Maintainer: Marjolein Bruijning <mbruijning@princeton.edu>

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Package modEvA updated to version 2.0 with previous version 1.3.2 dated 2016-07-15

Title: Model Evaluation and Analysis
Description: Analyses species distribution models and evaluates their performance. It includes functions for performing variation partitioning, calculating several measures of model discrimination and calibration, optimizing prediction thresholds based on a number of criteria, performing multivariate environmental similarity surface (MESS) analysis, and displaying various analytical plots.
Author: Barbosa A.M., Brown J.A., Jimenez-Valverde A., Real R.
Maintainer: A. Marcia Barbosa <ana.marcia.barbosa@gmail.com>

Diff between modEvA versions 1.3.2 dated 2016-07-15 and 2.0 dated 2020-01-21

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New package ClimProjDiags with initial version 0.1.0
Package: ClimProjDiags
Title: Set of Tools to Compute Various Climate Indices
Version: 0.1.0
Authors@R: c( person("BSC-CNS", role = c("aut", "cph")), person("Nuria", "Perez-Zanon", , "nuria.perez@bsc.es", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-8568-3071")), person("Nicolau", "Manubens", , "nicolau.manubens@bsc.es", role = "ctb"), person("Alasdair", "Hunter", , "alasdair.hunter@bsc.es", role = "aut"), person("Louis-Philippe", "Caron", , "louis-philippe.caron@bsc.es", role = "ctb"))
Description: Set of tools to compute metrics and indices for climate analysis. The package provides functions to compute extreme indices, evaluate the agreement between models and combine theses models into an ensemble. Multi-model time series of climate indices can be computed either after averaging the 2-D fields from different models provided they share a common grid or by combining time series computed on the model native grid. Indices can be assigned weights and/or combined to construct new indices.
Depends: R (>= 3.2.0)
Imports: multiApply (>= 2.0.0), PCICt, plyr, stats
License: LGPL-3
URL: https://earth.bsc.es/gitlab/es/ClimProjDiags
BugReports: https://earth.bsc.es/gitlab/es/ClimProjDiags/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.0
Suggests: knitr, testthat, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-01-21 12:16:56 UTC; nperez
Author: BSC-CNS [aut, cph], Nuria Perez-Zanon [aut, cre] (<https://orcid.org/0000-0001-8568-3071>), Nicolau Manubens [ctb], Alasdair Hunter [aut], Louis-Philippe Caron [ctb]
Maintainer: Nuria Perez-Zanon <nuria.perez@bsc.es>
Repository: CRAN
Date/Publication: 2020-01-21 14:30:09 UTC

More information about ClimProjDiags at CRAN
Permanent link

Package steps updated to version 1.0.0 with previous version 0.2.1 dated 2019-04-02

Title: Spatially- and Temporally-Explicit Population Simulator
Description: Software to simulate population change across space and time.
Author: Casey Visintin [aut, cre], Nick Golding [ctb], Skipton Woolley [ctb], John Baumgartner [ctb]
Maintainer: Casey Visintin <casey.visintin@unimelb.edu.au>

Diff between steps versions 0.2.1 dated 2019-04-02 and 1.0.0 dated 2020-01-21

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Package aws updated to version 2.4-0 with previous version 2.3-0 dated 2019-11-15

Title: Adaptive Weights Smoothing
Description: We provide a collection of R-functions implementing adaptive smoothing procedures in 1D, 2D and 3D. This includes the Propagation-Separation Approach to adaptive smoothing as described in "J. Polzehl and V. Spokoiny (2006) <DOI:10.1007/s00440-005-0464-1>", "J. Polzehl and V. Spokoiny (2004) <DOI:10.20347/WIAS.PREPRINT.998>" and "J. Polzehl, K. Papafitsoros, K. Tabelow (2018) <DOI:10.20347/WIAS.PREPRINT.2520>", the Intersecting Confidence Intervals (ICI), variational approaches and a non-local means filter. Usage of the package is also described in Polzehl and Tabelow (2019), Magnetic Resonance Brain Imaging, Appendix A, Springer, Use R! Series. <doi:10.1007/978-3-030-29184-6_6>.
Author: Joerg Polzehl [aut, cre], Felix Anker [ctb]
Maintainer: Joerg Polzehl <joerg.polzehl@wias-berlin.de>

Diff between aws versions 2.3-0 dated 2019-11-15 and 2.4-0 dated 2020-01-21

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Package airGR updated to version 1.4.3.52 with previous version 1.3.2.42 dated 2019-09-22

Title: Suite of GR Hydrological Models for Precipitation-Runoff Modelling
Description: Hydrological modelling tools developed at INRAE-Antony (HYCAR Research Unit, France). The package includes several conceptual rainfall-runoff models (GR4H, GR5H, GR4J, GR5J, GR6J, GR2M, GR1A), a snow accumulation and melt model (CemaNeige) and the associated functions for their calibration and evaluation. Use help(airGR) for package description and references.
Author: Laurent Coron [aut, trl] (<https://orcid.org/0000-0002-1503-6204>), Olivier Delaigue [aut, cre] (<https://orcid.org/0000-0002-7668-8468>), Guillaume Thirel [aut] (<https://orcid.org/0000-0002-1444-1830>), Charles Perrin [aut, ths] (<https://orcid.org/0000-0001-8552-1881>), Claude Michel [aut, ths], Vazken Andréassian [ctb, ths] (<https://orcid.org/0000-0001-7124-9303>), François Bourgin [ctb] (<https://orcid.org/0000-0002-2820-7260>, 'Parameter estimation' vignettes), Pierre Brigode [ctb] (<https://orcid.org/0000-0001-8257-0741>), Nicolas Le Moine [ctb], Thibaut Mathevet [ctb] (<https://orcid.org/0000-0002-4142-4454>), Safouane Mouelhi [ctb], Ludovic Oudin [ctb] (<https://orcid.org/0000-0002-3712-0933>), Raji Pushpalatha [ctb], Audrey Valéry [ctb]
Maintainer: Olivier Delaigue <airGR@inrae.fr>

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Package IDPmisc updated to version 1.1.20 with previous version 1.1.19 dated 2019-02-11

Title: 'Utilities of Institute of Data Analyses and Process Design (www.zhaw.ch/idp)'
Description: Different high-level graphics functions for displaying large datasets, displaying circular data in a very flexible way, finding local maxima, brewing color ramps, drawing nice arrows, zooming 2D-plots, creating figures with differently colored margin and plot region. In addition, the package contains auxiliary functions for data manipulation like omitting observations with irregular values or selecting data by logical vectors, which include NAs. Other functions are especially useful in spectroscopy and analyses of environmental data: robust baseline fitting, finding peaks in spectra, converting humidity measures.
Author: Rene Locher [aut, cre], Andreas Ruckstuhl [ctb]
Maintainer: Rene Locher <rene.locher@zhaw.ch>

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Package modelStudio updated to version 0.2.1 with previous version 0.2.0 dated 2020-01-13

Title: Interactive Studio with Explanations for ML Predictive Models
Description: Automate explanation of machine learning predictive models. This package generates advanced interactive and animated model explanations in the form of a serverless HTML site. It combines 'R' with 'D3.js' to produce plots and descriptions for various local and global explanations. Tools for model exploration unite with tools for EDA (Exploratory Data Analysis) to give a broad overview of the model behaviour. 'modelStudio' is a fast and condensed way to get all the answers without much effort. Break down your model and look into its ingredients with only a few lines of code.
Author: Hubert Baniecki [aut, cre] (<https://orcid.org/0000-0001-6661-5364>), Przemyslaw Biecek [aut] (<https://orcid.org/0000-0001-8423-1823>)
Maintainer: Hubert Baniecki <hbaniecki@gmail.com>

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Package bpbounds updated to version 0.1.4 with previous version 0.1.3 dated 2019-02-10

Title: Nonparametric Bounds for the Average Causal Effect Due to Balke and Pearl and Extensions
Description: Implementation of the nonparametric bounds for the average causal effect under an instrumental variable model by Balke and Pearl (Bounds on Treatment Effects from Studies with Imperfect Compliance, JASA, 1997, 92, 439, 1171-1176). The package can calculate bounds for a binary outcome, a binary treatment/phenotype, and an instrument with either 2 or 3 categories. The package implements bounds for situations where these 3 variables are measured in the same dataset (trivariate data) or where the outcome and instrument are measured in one study and the treatment/phenotype and instrument are measured in another study (bivariate data).
Author: Tom Palmer [aut, cre] (<https://orcid.org/0000-0003-4655-4511>), Roland Ramsahai [aut] (<https://orcid.org/0000-0002-7349-1977>), Vanessa Didelez [aut] (<https://orcid.org/0000-0001-8587-7706>), Nuala Sheehan [aut] (<https://orcid.org/0000-0001-9094-2605>)
Maintainer: Tom Palmer <remlapmot@hotmail.com>

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Package spacetime updated to version 1.2-3 with previous version 1.2-2 dated 2018-07-17

Title: Classes and Methods for Spatio-Temporal Data
Description: Classes and methods for spatio-temporal data, including space-time regular lattices, sparse lattices, irregular data, and trajectories; utility functions for plotting data as map sequences (lattice or animation) or multiple time series; methods for spatial and temporal selection and subsetting, as well as for spatial/temporal/spatio-temporal matching or aggregation, retrieving coordinates, print, summary, etc.
Author: Edzer Pebesma [aut, cre] (<https://orcid.org/0000-0001-8049-7069>), Benedikt Graeler [ctb], Tom Gottfried [ctb], Robert J. Hijmans [ctb]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

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New package SmartEDA with initial version 0.3.3
Package: SmartEDA
Type: Package
Title: Summarize and Explore the Data
Version: 0.3.3
Authors@R: c(person("Dayanand Ubrangala", role = c("aut", "cre"), email = "daya6489@gmail.com"), person("Kiran", "R", role = c("aut","ctb")), person("Ravi", "Prasad Kondapalli", role = c("aut","ctb")), person("Sayan", "Putatunda", role = c("aut","ctb")))
Maintainer: Dayanand Ubrangala <daya6489@gmail.com>
Depends: R (>= 3.3.0)
Imports: ggplot2(>= 2.2.1),sampling(>= 2.8),scales(>= 0.5.0),rmarkdown(>= 1.9),ISLR(>= 1.2),data.table(>= 1.10.4-3),gridExtra(>= 2.3),GGally(>= 1.4.0)
Description: Exploratory analysis on any input data describing the structure and the relationships present in the data. The package automatically select the variable and does related descriptive statistics. Analyzing information value, weight of evidence, custom tables, summary statistics, graphical techniques will be performed for both numeric and categorical predictors.
License: MIT + file LICENSE
Suggests: psych, Hmisc, smbinning,testthat,knitr,covr
Encoding: UTF-8
LazyData: true
URL: https://daya6489.github.io/SmartEDA/
BugReports: https://github.com/daya6489/SmartEDA/issues
Repository: CRAN
RoxygenNote: 6.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-01-20 12:34:35 UTC; dubrangala
Author: Dayanand Ubrangala [aut, cre], Kiran R [aut, ctb], Ravi Prasad Kondapalli [aut, ctb], Sayan Putatunda [aut, ctb]
Date/Publication: 2020-01-21 11:00:02 UTC

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Package muHVT updated to version 1.0.1 with previous version 1.0.0 dated 2020-01-16

Title: Constructing Hierarchical Voronoi Tessellations and Overlay Heatmap for Data Analysis
Description: Constructing hierarchical voronoi tessellations for a given data set and overlay heatmap for variables at various levels of the tessellations for in-depth data analysis. See <https://en.wikipedia.org/wiki/Voronoi_diagram> for more information. Credits to Mu Sigma for their continuous support throughout the development of the package.
Author: Sangeet Moy Das [aut], Zubin Dowlaty [aut], Avinash Joshi [aut], Meet Dave [ctb], Shubhra Prakash [ctb], Mu Sigma, Inc. [cre]
Maintainer: "Mu Sigma, Inc." <ird.experiencelab@mu-sigma.com>

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New package EpiILMCT with initial version 1.1.6
Package: EpiILMCT
Title: Continuous Time Distance-Based and Network-Based Individual Level Models for Epidemics
Version: 1.1.6
Date: 2020-01-20
Authors@R: c( person("Waleed", "Almutiry", email = "wkmtierie@qu.edu.sa", role = c("aut", "cre")), person("Rob", "Deardon", role = c("aut", "ths")), person("Vineetha", "Warriyar K. V.", role = "ctb") )
Author: Waleed Almutiry [aut, cre], Rob Deardon [aut, ths], Vineetha Warriyar K. V. [ctb]
Maintainer: Waleed Almutiry <wkmtierie@qu.edu.sa>
Description: Provides tools for simulating from continuous-time individual level models of disease transmission, and carrying out infectious disease data analyses with the same models. The epidemic models considered are distance-based and/or contact network-based models within Susceptible-Infectious-Removed (SIR) or Susceptible-Infectious-Notified-Removed (SINR) compartmental frameworks. An overview of the implemented continuous-time individual level models for epidemics is given by Almutiry and Deardon (2019) <doi:10.1515/ijb-2017-0092>.
Depends: graphics, stats, utils, coda, parallel, R (>= 3.5.0)
Imports: methods, igraph
License: GPL (>= 2)
URL: https://github.com/waleedalmutiry/EpiILMCT/
NeedsCompilation: yes
Packaged: 2020-01-20 20:47:41 UTC; ABO-HATIM
Repository: CRAN
Date/Publication: 2020-01-21 10:30:06 UTC

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Package BMhyd (with last version 1.2-8) was removed from CRAN

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

2015-08-06 1.2-8
2014-02-15 1.2-2

Permanent link
Package BMhyb (with last version 2.1.5) was removed from CRAN

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

2019-08-02 2.1.5
2017-10-07 1.5.2
2017-09-11 1.5.1

Permanent link
Package TED (with last version 1.1.1) was removed from CRAN

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

2014-10-02 1.1.1
2014-10-01 1.1
2014-05-10 1.0

Permanent link
Package survey updated to version 3.37 with previous version 3.36 dated 2019-04-27

Title: Analysis of Complex Survey Samples
Description: Summary statistics, two-sample tests, rank tests, generalised linear models, cumulative link models, Cox models, loglinear models, and general maximum pseudolikelihood estimation for multistage stratified, cluster-sampled, unequally weighted survey samples. Variances by Taylor series linearisation or replicate weights. Post-stratification, calibration, and raking. Two-phase subsampling designs. Graphics. PPS sampling without replacement. Principal components, factor analysis.
Author: Thomas Lumley
Maintainer: "Thomas Lumley" <t.lumley@auckland.ac.nz>

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Package sjstats updated to version 0.17.8 with previous version 0.17.7 dated 2019-11-14

Title: Collection of Convenient Functions for Common Statistical Computations
Description: Collection of convenient functions for common statistical computations, which are not directly provided by R's base or stats packages. This package aims at providing, first, shortcuts for statistical measures, which otherwise could only be calculated with additional effort (like Cramer's V, Phi, or effect size statistics like Eta or Omega squared), or for which currently no functions available. Second, another focus lies on weighted variants of common statistical measures and tests like weighted standard error, mean, t-test, correlation, and more.
Author: Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>)
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

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Package rngWELL updated to version 0.10-6 with previous version 0.10-5 dated 2017-05-21

Title: Toolbox for WELL Random Number Generators
Description: It is a dedicated package to WELL pseudo random generators, which were introduced in Panneton et al. (2006), ``Improved Long-Period Generators Based on Linear Recurrences Modulo 2'', ACM Transactions on Mathematical Software. But this package is not intended to be used directly, you are strongly __encouraged__ to use the 'randtoolbox' package, which depends on this package.
Author: C code by F. Panneton, P. L'Ecuyer and M. Matsumoto and R port by Christophe Dutang and Petr Savicky <savicky@cs.cas.cz>.
Maintainer: Christophe Dutang <christophe.dutang@ensimag.fr>

Diff between rngWELL versions 0.10-5 dated 2017-05-21 and 0.10-6 dated 2020-01-21

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Package pgraph updated to version 1.6 with previous version 1.5 dated 2019-06-25

Title: Build Dependency Graphs using Projection
Description: Implements a general framework for creating dependency graphs using projection as introduced in Fan, Feng and Xia (2019)<arXiv:1501.01617>. Both lasso and sparse additive model projections are implemented. Both Pearson correlation and distance covariance options are available to generate the graph.
Author: Yang Feng [aut, cre], Jianqing Fan [aut], Lucy Xia [aut]
Maintainer: Yang Feng <yangfengstat@gmail.com>

Diff between pgraph versions 1.5 dated 2019-06-25 and 1.6 dated 2020-01-21

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Package networkDynamic updated to version 0.10.1 with previous version 0.10.0 dated 2019-04-05

Title: Dynamic Extensions for Network Objects
Description: Simple interface routines to facilitate the handling of network objects with complex intertemporal data. This is a part of the "statnet" suite of packages for network analysis.
Author: Carter T. Butts [aut], Ayn Leslie-Cook [aut], Pavel N. Krivitsky [aut], Skye Bender-deMoll [aut, cre], Zack Almquist [ctb], David R. Hunter [ctb], Li Wang [ctb], Kirk Li [ctb], Steven M. Goodreau [ctb], Jeffrey Horner [ctb], Martina Morris [ctb]
Maintainer: Skye Bender-deMoll <skyebend@uw.edu>

Diff between networkDynamic versions 0.10.0 dated 2019-04-05 and 0.10.1 dated 2020-01-21

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Package lidR updated to version 2.2.1 with previous version 2.2.0 dated 2020-01-08

Title: Airborne LiDAR Data Manipulation and Visualization for Forestry Applications
Description: Airborne LiDAR (Light Detection and Ranging) interface for data manipulation and visualization. Read/write 'las' and 'laz' files, computation of metrics in area based approach, point filtering, artificial point reduction, classification from geographic data, normalization, individual tree segmentation and other manipulations.
Author: Jean-Romain Roussel [aut, cre, cph], David Auty [aut, ctb] (Reviews the documentation), Florian De Boissieu [ctb] (Fixed bugs and improved catalog features), Andrew Sánchez Meador [ctb] (Implemented wing2015 for lassnags), Bourdon Jean-François [ctb] (Implemented sensor_tracking)
Maintainer: Jean-Romain Roussel <jean-romain.roussel.1@ulaval.ca>

Diff between lidR versions 2.2.0 dated 2020-01-08 and 2.2.1 dated 2020-01-21

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Package latentnet updated to version 2.10.1 with previous version 2.9.0 dated 2018-08-25

Title: Latent Position and Cluster Models for Statistical Networks
Description: Fit and simulate latent position and cluster models for statistical networks.
Author: Pavel N. Krivitsky [aut, cre] (<https://orcid.org/0000-0002-9101-3362>), Mark S. Handcock [aut], Susan M. Shortreed [ctb], Jeremy Tantrum [ctb], Peter D. Hoff [ctb], Li Wang [ctb], Kirk Li [ctb], Jake Fisher [ctb], Jordan T. Bates [ctb]
Maintainer: Pavel N. Krivitsky <pavel@statnet.org>

Diff between latentnet versions 2.9.0 dated 2018-08-25 and 2.10.1 dated 2020-01-21

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More information about latentnet at CRAN
Permanent link

New package fitzRoy with initial version 0.3.1
Package: fitzRoy
Title: Easily Scrape and Process AFL Data
Version: 0.3.1
Authors@R: c(person(given = "James", family = "Day", role = c("cre", "aut"), email = "jamesthomasday@gmail.com"), person(given = "Robert", family = "Nguyen", role = "aut", email = "nguyen.n.robert@gmail.com"), person(given = "Matthew", family = "Erbs", role = "ctb", email = "matthew.erbs@merbla.com"), person(given = "Oscar", family = "Lane", role = "aut", email = "lane.oscar@gmail.com"), person(given = "Jason", family = "Zivkovic", role = "ctb", email = "jaseziv83@gmail.com"))
Description: An easy package for scraping and processing Australia Rules Football (AFL) data. 'fitzRoy' provides a range of functions for accessing publicly available data from 'AFL Tables' <https://afltables.com>, 'Footy Wire' <https://www.footywire.com> and 'The Squiggle' <https://squiggle.com.au>. Further functions allow for easy processing, cleaning and transformation of this data into formats that can be used for analysis.
License: GPL-3
URL: https://github.com/jimmyday12/fitzRoy
BugReports: https://github.com/jimmyday12/fitzRoy/issues
Depends: R (>= 3.1)
Imports: dplyr, httr, jsonlite, lubridate, magrittr, purrr, readr, rlang (>= 0.1.2), rvest, stringr (>= 1.3.0), tidyr (>= 1.0.0), tidyselect, xml2, tibble, glue
Suggests: covr, ggplot2, knitr, rmarkdown, testthat, roxygen2, elo, spelling, curl
VignetteBuilder: knitr
ByteCompile: true
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
Language: en-US
NeedsCompilation: no
Packaged: 2020-01-21 04:51:56 UTC; jamesday
Author: James Day [cre, aut], Robert Nguyen [aut], Matthew Erbs [ctb], Oscar Lane [aut], Jason Zivkovic [ctb]
Maintainer: James Day <jamesthomasday@gmail.com>
Repository: CRAN
Date/Publication: 2020-01-21 09:20:13 UTC

More information about fitzRoy at CRAN
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Package disk.frame updated to version 0.3.3 with previous version 0.3.2 dated 2020-01-19

Title: Larger-than-RAM Disk-Based Data Manipulation Framework
Description: A disk-based data manipulation tool for working with large-than-RAM datasets. Aims to lower the barrier-to-entry for manipulating large datasets by adhering closely to popular and familiar data manipulation paradigms like dplyr verbs and data.table syntax.
Author: Dai ZJ [aut, cre], Jacky Poon [ctb]
Maintainer: Dai ZJ <zhuojia.dai@gmail.com>

Diff between disk.frame versions 0.3.2 dated 2020-01-19 and 0.3.3 dated 2020-01-21

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Package genvar updated to version 0.0.2.0 with previous version 0.0.1.4 dated 2019-10-13

Title: An Imperative Library for Data Manipulation
Description: Implements tools for manipulating data sets and performing regressions in a way that is familiar to users of a popular, but proprietary, statistical package commonly used in the social sciences. Loads a single dataset into memory and implements a set of imperative commands to modify that data and perform regressions and other analysis on the dataset. Offers an alternative to standard R's function-based approach to data manipulation.
Author: Zach Flynn [aut, cre]
Maintainer: Zach Flynn <zlflynn@gmail.com>

Diff between genvar versions 0.0.1.4 dated 2019-10-13 and 0.0.2.0 dated 2020-01-21

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Package blockRAR updated to version 1.0.2 with previous version 1.0.1 dated 2019-09-08

Title: Block Design for Response-Adaptive Randomization
Description: Computes power for response-adaptive randomization with a block design that captures both the time and treatment effect. T. Chandereng, R. Chappell (2019) <arXiv:1904.07758>.
Author: Thevaa Chandereng [aut, cre, cph] (<https://orcid.org/0000-0003-4078-9176>), Rick Chapppell [aut, cph]
Maintainer: Thevaa Chandereng <chandereng@wisc.edu>

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Package AsyK updated to version 1.5.3 with previous version 1.3.2 dated 2019-11-14

Title: Kernel Density Estimation and Selection of Optimum Bandwidth
Description: A collection of functions related to density estimation by using Chen's (2000) idea. Mean Squared Errors (MSE) are calculated for estimated curves. For this purpose, R functions allow the distribution to be Gamma, Exponential or Weibull. For details see Chen (2000), Scaillet (2004) <doi:10.1080/10485250310001624819> and Khan and Akbar.
Author: Javaria Ahmad Khan, Atif Akbar.
Maintainer: Javaria Ahmad Khan <jakhan0@yahoo.com>

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Package ubiquity updated to version 1.0.1 with previous version 1.0.0 dated 2019-10-17

Title: PKPD, PBPK, and Systems Pharmacology Modeling Tools
Description: Complete work flow for the analysis of pharmacokinetic pharmacodynamic (PKPD), physiologically-based pharmacokinetic (PBPK) and systems pharmacology models including: creation of ordinary differential equation-based models, pooled parameter estimation, individual/population based simulations, rule-based simulations for clinical trial design and modeling assays, deployment with a customizable 'Shiny' app, and non-compartmental analysis. System-specific analysis templates can be generated and each element includes integrated reporting with 'PowerPoint' and 'Word'.
Author: John Harrold [aut, cre]
Maintainer: John Harrold <john.m.harrold@gmail.com>

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Package RSDA updated to version 3.0.1 with previous version 3.0 dated 2019-10-22

Title: R to Symbolic Data Analysis
Description: Symbolic Data Analysis (SDA) was proposed by professor Edwin Diday in 1987, the main purpose of SDA is to substitute the set of rows (cases) in the data table for a concept (second order statistical unit). This package implements, to the symbolic case, certain techniques of automatic classification, as well as some linear models.
Author: Oldemar Rodriguez [cre], Carlos Aguero [aut], Olger Calderon [cph], Roberto Zuniga [cph], Jorge Arce [cph]
Maintainer: Oldemar Rodriguez <oldemar.rodriguez@ucr.ac.cr>

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Package randomForestSRC updated to version 2.9.3 with previous version 2.9.2 dated 2019-11-18

Title: Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC)
Description: Fast OpenMP parallel computing of Breiman's random forests for survival, competing risks, regression and classification based on Ishwaran and Kogalur's popular random survival forests (RSF) package. Handles missing data and now includes multivariate, unsupervised forests, quantile regression and solutions for class imbalanced data. New fast interface using subsampling and confidence regions for variable importance.
Author: Hemant Ishwaran <hemant.ishwaran@gmail.com>, Udaya B. Kogalur <ubk@kogalur.com>
Maintainer: Udaya B. Kogalur <ubk@kogalur.com>

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Package gstat updated to version 2.0-4 with previous version 2.0-3 dated 2019-09-26

Title: Spatial and Spatio-Temporal Geostatistical Modelling, Prediction and Simulation
Description: Variogram modelling; simple, ordinary and universal point or block (co)kriging; spatio-temporal kriging; sequential Gaussian or indicator (co)simulation; variogram and variogram map plotting utility functions; supports sf and stars.
Author: Edzer Pebesma [aut, cre] (<https://orcid.org/0000-0001-8049-7069>), Benedikt Graeler [aut]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

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Package bio3d updated to version 2.4-1 with previous version 2.4-0 dated 2019-11-26

Title: Biological Structure Analysis
Description: Utilities to process, organize and explore protein structure, sequence and dynamics data. Features include the ability to read and write structure, sequence and dynamic trajectory data, perform sequence and structure database searches, data summaries, atom selection, alignment, superposition, rigid core identification, clustering, torsion analysis, distance matrix analysis, structure and sequence conservation analysis, normal mode analysis, principal component analysis of heterogeneous structure data, and correlation network analysis from normal mode and molecular dynamics data. In addition, various utility functions are provided to enable the statistical and graphical power of the R environment to work with biological sequence and structural data. Please refer to the URLs below for more information.
Author: Barry Grant [aut, cre], Xin-Qiu Yao [aut], Lars Skjaerven [aut], Julien Ide [aut]
Maintainer: Barry Grant <bjgrant@ucsd.edu>

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Package intccr updated to version 3.0.1 with previous version 3.0.0 dated 2019-12-09

Title: Semiparametric Competing Risks Regression under Interval Censoring
Description: Semiparametric regression models on the cumulative incidence function for interval-censored competing risks data as described in Bakoyannis, Yu, & Yiannoutsos (2017) <doi:10.1002/sim.7350>. In addition, missing event types or left truncation are considered. We provide the proportional subdistribution hazards model (Fine-Gray model), the proportional odds model, and other models that belong to the class of semiparametric generalized odds rate transformation models.
Author: Giorgos Bakoyannis <gbakogia@iu.edu>, Jun Park <jp84@iu.edu>
Maintainer: Jun Park <jp84@iu.edu>

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Package TSstudio updated to version 0.1.6 with previous version 0.1.5 dated 2019-10-28

Title: Functions for Time Series Analysis and Forecasting
Description: Provides a set of tools for descriptive and predictive analysis of time series data. That includes functions for interactive visualization of time series objects and as well utility functions for automation time series forecasting.
Author: Rami Krispin [aut, cre]
Maintainer: Rami Krispin <rami.krispin@gmail.com>

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Package GGUM updated to version 0.4 with previous version 0.3.3 dated 2018-10-04

Title: Generalized Graded Unfolding Model
Description: An implementation of the generalized graded unfolding model (GGUM) in R, see Roberts, Donoghue, and Laughlin (2000) <doi:10.1177/01466216000241001>). It allows to simulate data sets based on the GGUM. It fits the GGUM and the GUM, and it retrieves item and person parameter estimates. Several plotting functions are available (item and test information functions; item and test characteristic curves; item category response curves). Additionally, there are some functions that facilitate the communication between R and 'GGUM2004'. Finally, a model-fit checking utility, MODFIT(), is also available.
Author: Jorge N. Tendeiro [aut, cre], Sebastian Castro-Alvarez [aut]
Maintainer: Jorge N. Tendeiro <j.n.tendeiro@rug.nl>

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