Mon, 04 Mar 2019

Package mvtnorm updated to version 1.0-10 with previous version 1.0-9 dated 2019-02-28

Title: Multivariate Normal and t Distributions
Description: Computes multivariate normal and t probabilities, quantiles, random deviates and densities.
Author: Alan Genz [aut], Frank Bretz [aut], Tetsuhisa Miwa [aut], Xuefei Mi [aut], Friedrich Leisch [ctb], Fabian Scheipl [ctb], Bjoern Bornkamp [ctb], Martin Maechler [ctb], Torsten Hothorn [aut, cre] (<https://orcid.org/0000-0001-8301-0471>)
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between mvtnorm versions 1.0-9 dated 2019-02-28 and 1.0-10 dated 2019-03-04

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Package servr updated to version 0.13 with previous version 0.12 dated 2019-02-07

Title: A Simple HTTP Server to Serve Static Files or Dynamic Documents
Description: Start an HTTP server in R to serve static files, or dynamic documents that can be converted to HTML files (e.g., R Markdown) under a given directory.
Author: Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>), Carson Sievert [ctb], Jesse Anderson [ctb], Ramnath Vaidyanathan [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

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Package REAT updated to version 3.0.0 with previous version 2.2.0 dated 2018-11-29

Title: Regional Economic Analysis Toolbox
Description: Collection of models and analysis methods used in regional and urban economics and (quantitative) economic geography, e.g. measures of inequality, regional disparities and convergence, regional specialization as well as accessibility and spatial interaction models.
Author: Thomas Wieland
Maintainer: Thomas Wieland <thomas.wieland.geo@googlemail.com>

Diff between REAT versions 2.2.0 dated 2018-11-29 and 3.0.0 dated 2019-03-04

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Package ifultools updated to version 2.0-5 with previous version 2.0-4 dated 2016-05-20

Title: Insightful Research Tools
Description: Insightful Research Tools.
Author: William Constantine [cre, aut]
Maintainer: William Constantine <wlbconstan@gmail.com>

Diff between ifultools versions 2.0-4 dated 2016-05-20 and 2.0-5 dated 2019-03-04

 DESCRIPTION |    6 +++---
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 3 files changed, 11 insertions(+), 5 deletions(-)

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Package rmutil updated to version 1.1.3 with previous version 1.1.2 dated 2019-02-01

Title: Utilities for Nonlinear Regression and Repeated Measurements Models
Description: A toolkit of functions for nonlinear regression and repeated measurements not to be used by itself but called by other Lindsey packages such as 'gnlm', 'stable', 'growth', 'repeated', and 'event' (available at <http://www.commanster.eu/rcode.html>).
Author: Bruce Swihart [cre, aut], Jim Lindsey [aut] (Jim created this package, Bruce is maintaining the CRAN version)
Maintainer: Bruce Swihart <bruce.swihart@gmail.com>

Diff between rmutil versions 1.1.2 dated 2019-02-01 and 1.1.3 dated 2019-03-04

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 7 files changed, 56 insertions(+), 17 deletions(-)

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Package gaselect updated to version 1.0.6 with previous version 1.0.5 dated 2015-02-12

Title: Genetic Algorithm (GA) for Variable Selection from High-Dimensional Data
Description: Provides a genetic algorithm for finding variable subsets in high dimensional data with high prediction performance. The genetic algorithm can use ordinary least squares (OLS) regression models or partial least squares (PLS) regression models to evaluate the prediction power of variable subsets. By supporting different cross-validation schemes, the user can fine-tune the tradeoff between speed and quality of the solution.
Author: David Kepplinger
Maintainer: David Kepplinger <david.kepplinger@gmail.com>

Diff between gaselect versions 1.0.5 dated 2015-02-12 and 1.0.6 dated 2019-03-04

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Package rbamtools (with last version 2.16.11.2) was removed from CRAN

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

2018-12-31 2.16.11.2
2018-12-30 2.16.11
2018-12-30 2.16.11.1

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Package refGenome (with last version 1.7.3.1) was removed from CRAN

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

2018-12-30 1.7.3.1

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Package arulesSequences updated to version 0.2-21 with previous version 0.2-20 dated 2018-07-29

Title: Mining Frequent Sequences
Description: Add-on for arules to handle and mine frequent sequences. Provides interfaces to the C++ implementation of cSPADE by Mohammed J. Zaki.
Author: Christian Buchta and Michael Hahsler, with contributions from Daniel Diaz
Maintainer: Christian Buchta <christian.buchta@wu.ac.at>

Diff between arulesSequences versions 0.2-20 dated 2018-07-29 and 0.2-21 dated 2019-03-04

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Package nhlscrapr (with last version 1.8.1) was removed from CRAN

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

2017-03-08 1.8.1
2014-10-21 1.8
2014-06-10 1.5.1
2014-04-30 1.5
2014-04-02 1.4
2013-08-16 1.2
2013-06-22 1.0.2
2013-06-17 1.0

Permanent link
New package MiDA with initial version 0.1.0
Package: MiDA
Type: Package
Title: Microarray Data Analysis
Version: 0.1.0
Authors@R: c(person("Elena", "Filatova", role=c("aut", "cre"), email="filatova@nniiem.ru"), person("Nikolai", "Sakharnov", role="dtc"), person("Dmitry", "Knyazev", role="dtc"), person("Oleg", "Utkin", role="dtc"), person("Blokhina Scientific Research Institute of Epidemiology and Microbiology of Nizhny Novgorod, Russia", role="fnd"))
Maintainer: Elena Filatova <filatova@nniiem.ru>
Description: Set of functions designed to simplify transcriptome analysis and identification of marker molecules using microarrays data. The package includes a set of functions that allows performing full pipeline of analysis including data normalization, summarisation, binary classification, FDR multiple comparison and the definition of potential biological markers.
License: GPL-3
Encoding: UTF-8
LazyLoad: true
Imports: caret, gbm, genefilter, graphics, limma, preprocessCore, pROC, stats, SQN
Depends: R (>= 3.5.0)
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-02-26 12:17:58 UTC; filatova
Author: Elena Filatova [aut, cre], Nikolai Sakharnov [dtc], Dmitry Knyazev [dtc], Oleg Utkin [dtc], Blokhina Scientific Research Institute of Epidemiology and Microbiology of Nizhny Novgorod, Russia [fnd]
Repository: CRAN
Date/Publication: 2019-03-04 18:20:03 UTC

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New package equivalenceTest with initial version 0.0.1.1
Package: equivalenceTest
Title: Equivalence Test for the Means of Two Normal Distributions
Version: 0.0.1.1
Authors@R: person("Chao", "Wang", email = "wan9c9@gmail.com", role = c("aut", "cre"))
Description: Two methods for performing equivalence test for the means of two (test and reference) normal distributions are implemented. The null hypothesis of the equivalence test is that the absolute difference between the two means are greater than or equal to the equivalence margin and the alternative is that the absolute difference is less than the margin. Given that the margin is often difficult to obtain a priori, it is assumed to be a constant multiple of the standard deviation of the reference distribution. The first method assumes a fixed margin which is a constant multiple of the estimated standard deviation of the reference data and whose variability is ignored. The second method takes into account the margin variability. In addition, some tools to summarize and illustrate the data and test results are included to facilitate the evaluation of the data and interpretation of the results.
Depends: R (>= 3.0.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Imports: polynom, rootSolve, cubature, Rdpack, stats, graphics
RdMacros: Rdpack
NeedsCompilation: no
Packaged: 2019-02-26 13:22:11 UTC; cwang
Author: Chao Wang [aut, cre]
Maintainer: Chao Wang <wan9c9@gmail.com>
Repository: CRAN
Date/Publication: 2019-03-04 18:30:03 UTC

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New package snem with initial version 0.1.0
Package: snem
Type: Package
Title: EM Algorithm for Multivariate Skew-Normal Distribution with Overparametrization
Version: 0.1.0
Date: 2019-02-26
Author: Toshihiro Abe <abetosh@ss.nanzan-u.ac.jp>, Hironori Fujisawa <fujisawa@ism.ac.jp>, Takayuki Kawashima <t-kawa@ism.ac.jp>
Maintainer: Takayuki Kawashima <t-kawa@ism.ac.jp>
Imports: mvtnorm
Description: Efficient estimation of multivariate skew-normal distribution in closed form.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Suggests: DAAG
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2019-02-25 23:47:47 UTC; tkawashima
Repository: CRAN
Date/Publication: 2019-03-04 18:00:03 UTC

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Package Rfast updated to version 1.9.3 with previous version 1.9.2 dated 2018-11-09

Title: A Collection of Efficient and Extremely Fast R Functions
Description: A collection of fast (utility) functions for data analysis. Column- and row- wise means, medians, variances, minimums, maximums, many t, F and G-square tests, many regressions (normal, logistic, Poisson), are some of the many fast functions. Reference: Tsagris M, Papadakis M. (2018). Taking R to its limits: 70+ tips. PeerJ Preprints 6:e26605v1 <doi:10.7287/peerj.preprints.26605v1>.
Author: Manos Papadakis, Michail Tsagris, Marios Dimitriadis, Stefanos Fafalios, Ioannis Tsamardinos, Matteo Fasiolo, Giorgos Borboudakis, John Burkardt, Changliang Zou, Kleanthi Lakiotaki and Christina Chatzipantsiou.
Maintainer: Manos Papadakis <rfastofficial@gmail.com>

Diff between Rfast versions 1.9.2 dated 2018-11-09 and 1.9.3 dated 2019-03-04

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New package mpcmp with initial version 0.1.3
Package: mpcmp
Type: Package
Title: Mean-Parametrized Conway-Maxwell Poisson (COM-Poisson) Regression
Version: 0.1.3
Date: 2019-02-14
Authors@R: c(person("Thomas", "Fung", role = c("aut", "cre"), email = "thomas.fung@mq.edu.au"), person("Aya", "Alwan", role = "aut", email = "aya.alwan@mq.edu.au"), person("Justin", "Wishart", role = "aut", email = "justin.wishart@mq.edu.au"), person("Alan", "Huang", role = "aut", email = "alan.huang@uq.edu.au"))
Description: A collection of functions for estimation, testing and diagnostic checking for the mean-parametrized Conway-Maxwell Poisson (COM-Poisson) regression model of Huang (2017) <doi:10.1177/1471082X17697749>.
Depends: R (>= 2.10)
License: GPL (>= 2)
Imports: graphics, grDevices, stats
URL: https://github.com/thomas-fung/mpcmp
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2019-02-24 09:35:41 UTC; thomasfung
Author: Thomas Fung [aut, cre], Aya Alwan [aut], Justin Wishart [aut], Alan Huang [aut]
Maintainer: Thomas Fung <thomas.fung@mq.edu.au>
Repository: CRAN
Date/Publication: 2019-03-04 17:20:03 UTC

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New package disttools with initial version 0.1.7
Package: disttools
Type: Package
Title: Distance Object Manipulation Tools
Version: 0.1.7
Authors@R: c( person("Zachary", "Colburn", email = "zcolburn@gmail.com", role = c("aut", "cre")), person("Madigan Army Medical Center - Department of Clinical Investigation", email = "usarmy.jblm.medcom-mamc.mbx.dci@mail.mil", role = c("cph", "fnd")) )
Maintainer: Zachary Colburn <zcolburn@gmail.com>
Description: Provides convenient methods for accessing the data in 'dist' objects with minimal memory and computational overhead. 'disttools' can be used to extract the distance between any pair or combination of points encoded by a 'dist' object using only the indices of those points. This is an improvement over existing functionality, which requires either coercing a 'dist' object into a matrix or calculating the one dimensional index corresponding to a pair of observations. Coercion to a matrix is undesirable because doing so doubles the amount of memory required for storage. In contrast, there is no inherent downside to the latter solution. However, in part due to several edge cases, correctly and efficiently implementing such a solution can be challenging. 'disttools' abstracts away these challenges and provides a simple interface to access the data in a 'dist' object using the latter approach.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: covr, testthat, knitr, rmarkdown
RoxygenNote: 6.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-02-25 17:00:04 UTC; mamcdci
Author: Zachary Colburn [aut, cre], Madigan Army Medical Center - Department of Clinical Investigation [cph, fnd]
Repository: CRAN
Date/Publication: 2019-03-04 17:40:04 UTC

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New package CopulaCenR with initial version 0.1.0
Package: CopulaCenR
Type: Package
Title: Copula-Based Regression Models for Bivariate Censored Data
Version: 0.1.0
Author: Tao Sun, Ying Ding
Maintainer: Tao Sun <tao.sun@pitt.edu>
Description: Copula-based regression models for bivariate censored data, including bivariate right-censored data and bivariate interval-censored data. Currently supports Clayton, Gumbel, Frank, Joe, AMH and Copula2 copula models. For marginal models, it supports parametric (Weibull, Loglogistic, Gompertz), weakly-parametric piecewise-constant hazards (only for bivariate right-censored) and semiparametric transformation (only for bivariate interval-censored data) models. Includes methods for convenient prediction and plotting. Also provides a bivariate time-to-event simulation function. Method details can be found in Sun et.al. (2018) < doi:10.1007/s10985-018-09459-5> and Sun et.al (2019) <arXiv:1901.01918>.
License: GPL (>= 3)
Imports: copula, corpcor, flexsurv, icenReg, magrittr, plotly, pracma, survival
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2019-02-25 01:54:48 UTC; tas184
Repository: CRAN
Date/Publication: 2019-03-04 17:20:24 UTC

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New package ccrs with initial version 0.1.0
Package: ccrs
Type: Package
Title: Correct and Cluster Response Style Biased Data
Version: 0.1.0
Author: Mariko Takagishi [aut, cre]
Authors@R: c(person(given = "Mariko", family = "Takagishi", role = c("aut", "cre"), email = "m.takagishi0728@gmail.com"))
Maintainer: Mariko Takagishi <m.takagishi0728@gmail.com>
Description: Functions for performing Correcting and Clustering response-style-biased preference data (CCRS). The main functions are correct.RS() for correcting for response styles, and ccrs() for simultaneously correcting and content-based clustering. The procedure begin with making rank-ordered boundary data from the given preference matrix using a function called create.ccrsdata(). Then in correct.RS(), the response style is corrected as follows: the rank-ordered boundary data are smoothed by I-spline functions, the given preference data are transformed by the smoothed functions. The resulting data matrix, which is considered as bias-corrected data, can be used for any data analysis methods. If one wants to cluster respondents based on their indicated preferences (content-based clustering), ccrs() can be applied to the given (response-style-biased) preference data, which simultaneously corrects for response styles and clusters respondents based on the contents. Also, the correction result can be checked by plot.crs() function.
License: GPL (>= 2)
Depends: R (>= 3.5.0)
Imports: cds, colorspace, dplyr, graphics, limSolve, lsbclust, methods, msm, parallel, stats, utils
NeedsCompilation: yes
Encoding: UTF-8
RoxygenNote: 6.1.1
Packaged: 2019-02-24 04:04:22 UTC; applesan
Repository: CRAN
Date/Publication: 2019-03-04 17:10:02 UTC

More information about ccrs at CRAN
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New package SparseMSE with initial version 1.2.1
Package: SparseMSE
Title: Multiple Systems Estimation for Sparse Capture Data
Version: 1.2.1
Authors@R: c( person("Lax", "Chan", email = "lax.chan1@nottingham.ac.uk", role = c("aut","cre")), person("Bernard", "Silverman", email = "mail@bernardsilverman.co.uk", role = c("aut")), person("Kyle", "Vincent", email = "kyle.shane.vincent@gmail.com", role= c("aut")))
Author: Lax Chan [aut, cre], Bernard Silverman [aut], Kyle Vincent [aut]
Maintainer: Lax Chan <lax.chan1@nottingham.ac.uk>
Description: Implements the routines and algorithms developed and analysed in "Multiple systems estimation for Sparse Capture Data: Inferential Challenges when there are Non-Overlapping Lists" Chan, L, Silverman, B. W., Vincent, K (2019) <arXiv:1902.05156>. This package explicitly handles situations where there are pairs of lists which have no observed individuals in common.
URL: https://arxiv.org/abs/1902.05156
Depends: R (>= 3.5.0)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Suggests: rmarkdown
Imports: lpSolve
NeedsCompilation: no
Packaged: 2019-02-24 22:13:33 UTC; pmzllc
Repository: CRAN
Date/Publication: 2019-03-04 16:40:03 UTC

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New package SmCCNet with initial version 0.99.0
Package: SmCCNet
Type: Package
Title: Sparse Multiple Canonical Correlation Network Analysis Tool
Version: 0.99.0
Date: 2019-2-24
Author: W. Jenny Shi [aut, cre], Laura Saba [aut], Katerina Kechris [aut]
Maintainer: W. Jenny Shi <wjennyshi@gmail.com>
Description: A canonical correlation based framework for constructing phenotype-specific multi-omics networks by integrating multiple omics data types and a quantitative phenotype of interest.
URL: https://github.com/KechrisLab/SmCCNet
Depends: R (>= 3.5)
Imports: PMA, Matrix, pbapply, igraph
License: GPL-3
Encoding: UTF-8
LazyData: true
biocViews: Network
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2019-02-24 15:16:50 UTC; wenjennyshi
Repository: CRAN
Date/Publication: 2019-03-04 16:50:03 UTC

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New package RKUM with initial version 0.1.1
Package: RKUM
Type: Package
Title: Robust Kernel Unsupervised Methods
Version: 0.1.1
Author: Md Ashad Alam
Maintainer: Md Ashad Alam <malam@tulane.edu>
Description: Robust kernel center matrix, robust kernel cross-covariance operator for kernel unsupervised methods, kernel canonical correlation analysis, influence function of identifying significant outliers or atypical objects from multimodal datasets. Alam, M. A, Fukumizu, K., Wang Y.-P. (2018) <doi:10.1016/j.neucom.2018.04.008>. Alam, M. A, Calhoun, C. D., Wang Y.-P. (2018) <doi:10.1016/j.csda.2018.03.013>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: stats, graphics
NeedsCompilation: no
Packaged: 2019-02-24 01:36:38 UTC; Ashad
Repository: CRAN
Date/Publication: 2019-03-04 16:40:06 UTC

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New package RJDemetra with initial version 0.1.1
Package: RJDemetra
Type: Package
Title: Interface to 'JDemetra+' Seasonal Adjustment Software
Version: 0.1.1
Authors@R: c( person("Alain", "Quartier-la-Tente", role = c("aut", "cre"), email = "alain.quartier@yahoo.fr"), person("Anna", "Michalek", role = "aut", email = "anna.michalek@ecb.int"), person("Jean", "Palate", role = "aut", email = "jean.palate@nbb.be"), person("Raf", "Baeyens", role = "aut", email = "raf.baeyens@nbb.be"))
Description: Interface around 'JDemetra+' (<https://github.com/jdemetra/jdemetra-app>), the seasonal adjustment software officially recommended to the members of the European Statistical System (ESS) and the European System of Central Banks. It offers full access to all options and outputs of 'JDemetra+', including the two leading seasonal adjustment methods TRAMO/SEATS+ and X-12ARIMA/X-13ARIMA-SEATS.
Depends: R (>= 3.1.1),
Imports: rJava (>= 0.9-8), graphics, grDevices, methods, stats, utils
SystemRequirements: Java SE 8 or higher
License: EUPL
URL: https://github.com/jdemetra/rjdemetra
LazyData: TRUE
Collate: 'onLoad.R' 'init.R' 'spec.R' 'spec_transform.R' 'spec_rjd.R' 'regarima_rslts.R' 'regarima.R' 'regarima_specX13.R' 'regarima_specTS.R' 'decomposition.R' 'diagnostics.R' 'finals.R' 'user_defined.R' 'x13_spec.R' 'tramoseats_spec.R' 'x13.R' 'tramoseats.R' 'saveSpec.R' 'regarima_print.R' 'regarima_plot.R' 'regarima_generic.R' 'sa_print.R' 'sa_plot.R' 'export_workspace.R' 'import_workspace.R' 'ipi_c_eu.R'
Suggests: knitr, rmarkdown
RoxygenNote: 6.1.1
BugReports: https://github.com/jdemetra/rjdemetra/issues
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2019-02-24 20:23:11 UTC; ZW20HJ
Author: Alain Quartier-la-Tente [aut, cre], Anna Michalek [aut], Jean Palate [aut], Raf Baeyens [aut]
Maintainer: Alain Quartier-la-Tente <alain.quartier@yahoo.fr>
Repository: CRAN
Date/Publication: 2019-03-04 16:50:06 UTC

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Package frailtypack updated to version 3.0.3.1 with previous version 3.0.2.1 dated 2019-01-07

Title: General Frailty Models: Shared, Joint and Nested Frailty Models with Prediction; Evaluation of Failure-Time Surrogate Endpoints
Description: The following several classes of frailty models using a penalized likelihood estimation on the hazard function but also a parametric estimation can be fit using this R package: 1) A shared frailty model (with gamma or log-normal frailty distribution) and Cox proportional hazard model. Clustered and recurrent survival times can be studied. 2) Additive frailty models for proportional hazard models with two correlated random effects (intercept random effect with random slope). 3) Nested frailty models for hierarchically clustered data (with 2 levels of clustering) by including two iid gamma random effects. 4) Joint frailty models in the context of the joint modelling for recurrent events with terminal event for clustered data or not. A joint frailty model for two semi-competing risks and clustered data is also proposed. 5) Joint general frailty models in the context of the joint modelling for recurrent events with terminal event data with two independent frailty terms. 6) Joint Nested frailty models in the context of the joint modelling for recurrent events with terminal event, for hierarchically clustered data (with two levels of clustering) by including two iid gamma random effects. 7) Multivariate joint frailty models for two types of recurrent events and a terminal event. 8) Joint models for longitudinal data and a terminal event. 9) Trivariate joint models for longitudinal data, recurrent events and a terminal event. 10) Joint frailty models for the validation of surrogate endpoints in multiple randomized clinical trials with failure-time endpoints Prediction values are available (for a terminal event or for a new recurrent event). Left-truncated (not for Joint model), right-censored data, interval-censored data (only for Cox proportional hazard and shared frailty model) and strata are allowed. In each model, the random effects have the gamma or normal distribution. Now, you can also consider time-varying covariates effects in Cox, shared and joint frailty models (1-5). The package includes concordance measures for Cox proportional hazards models and for shared frailty models.
Author: Virginie Rondeau, Juan R. Gonzalez, Yassin Mazroui, Audrey Mauguen, Amadou Diakite, Alexandre Laurent, Myriam Lopez, Agnieszka Krol and Casimir L. Sofeu
Maintainer: Virginie Rondeau <Virginie.Rondeau@inserm.fr>

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Package cba updated to version 0.2-20 with previous version 0.2-19 dated 2017-05-11

Title: Clustering for Business Analytics
Description: Implements clustering techniques such as Proximus and Rock, utility functions for efficient computation of cross distances and data manipulation.
Author: Christian Buchta and Michael Hahsler
Maintainer: Christian Buchta <christian.buchta@wu.ac.at>

Diff between cba versions 0.2-19 dated 2017-05-11 and 0.2-20 dated 2019-03-04

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Package RMySQL updated to version 0.10.17 with previous version 0.10.16 dated 2019-01-04

Title: Database Interface and 'MySQL' Driver for R
Description: Legacy 'DBI' interface to 'MySQL' / 'MariaDB' based on old code ported from S-PLUS. A modern 'MySQL' client based on 'Rcpp' is available from the 'RMariaDB' package.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>), David James [aut], Saikat DebRoy [aut], Hadley Wickham [aut], Jeffrey Horner [aut], RStudio [cph]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package RecordLinkage updated to version 0.4-10.2 with previous version 0.4-10.1 dated 2019-02-02

Title: Record Linkage in R
Description: Provides functions for linking and de-duplicating data sets. Methods based on a stochastic approach are implemented as well as classification algorithms from the machine learning domain.
Author: Andreas Borg <borga@uni-mainz.de>, Murat Sariyar <murat.sariyar@charite.de>
Maintainer: Andreas Borg <borga@uni-mainz.de>

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Package crosswalkr updated to version 0.2.4 with previous version 0.2.3 dated 2019-02-25

Title: Rename and Encode Data Frames Using External Crosswalk Files
Description: A pair of functions for renaming and encoding data frames using external crosswalk files. It is especially useful when constructing master data sets from multiple smaller data sets that do not name or encode variables consistently across files. Based on similar commands in 'Stata'.
Author: Benjamin Skinner [aut, cre] (<https://orcid.org/0000-0002-0337-7415>)
Maintainer: Benjamin Skinner <btskinner@virginia.edu>

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Package webp updated to version 1.0 with previous version 0.4 dated 2017-03-31

Title: A New Format for Lossless and Lossy Image Compression
Description: Lossless webp images are 26% smaller in size compared to PNG. Lossy webp images are 25-34% smaller in size compared to JPEG. This package reads and writes webp images into a 3 (rgb) or 4 (rgba) channel bitmap array using conventions from the 'jpeg' and 'png' packages.
Author: Jeroen Ooms
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package walker updated to version 0.2.5 with previous version 0.2.4-1 dated 2019-02-25

Title: Bayesian Regression with Time-Varying Coefficients
Description: Bayesian dynamic regression models where the regression coefficients can vary over time as random walks. Gaussian, Poisson, and binomial observations are supported. The Markov chain Monte Carlo computations are done using Hamiltonian Monte Carlo provided by Stan, using a state space representation of the model in order to marginalise over the coefficients for efficient sampling. For non-Gaussian models, walker uses the importance sampling type estimators based on approximate marginal MCMC as in Vihola, Helske, Franks (2017, <arXiv:1609.02541>).
Author: Jouni Helske [aut, cre] (<https://orcid.org/0000-0001-7130-793X>)
Maintainer: Jouni Helske <jouni.helske@iki.fi>

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Package dqrng updated to version 0.1.0 with previous version 0.0.5 dated 2019-01-31

Title: Fast Pseudo Random Number Generators
Description: Several fast random number generators are provided as C++ header only libraries: The PCG family by O'Neill (2014 <https://www.cs.hmc.edu/tr/hmc-cs-2014-0905.pdf>) as well as Xoroshiro128+ and Xoshiro256+ by Blackman and Vigna (2018 <arXiv:1805.01407>). In addition fast functions for generating random numbers according to a uniform, normal and exponential distribution are included. The latter two use the Ziggurat algorithm originally proposed by Marsaglia and Tsang (2000, <doi:10.18637/jss.v005.i08>). These functions are exported to R and as a C++ interface and are enabled for use with the default 64 bit generator from the PCG family, Xoroshiro128+ and Xoshiro256+ as well as the 64 bit version of the 20 rounds Threefry engine (Salmon et al., 2011 <doi:10.1145/2063384.2063405>) as provided by the package 'sitmo'.
Author: Ralf Stubner [aut, cre], daqana GmbH [cph], David Blackman [ctb], Melissa O'Neill [ctb], Sebastiano Vigna [ctb], Aaron Lun [ctb]
Maintainer: Ralf Stubner <ralf.stubner@daqana.com>

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Package fftw updated to version 1.0-5 with previous version 1.0-4 dated 2017-05-01

Title: Fast FFT and DCT Based on the FFTW Library
Description: Provides a simple and efficient wrapper around the fastest Fourier transform in the west (FFTW) library <http://www.fftw.org/>.
Author: Olaf Mersmann [aut], Sebastian Krey [ctb], Uwe Ligges [ctb, cre]
Maintainer: Uwe Ligges <ligges@statistik.tu-dortmund.de>

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Package apa updated to version 0.3.2 with previous version 0.3.1 dated 2019-01-07

Title: Format Outputs of Statistical Tests According to APA Guidelines
Description: Formatter functions in the 'apa' package take the return value of a statistical test function, e.g. a call to chisq.test() and return a string formatted according to the guidelines of the APA (American Psychological Association).
Author: Daniel Gromer [aut, cre]
Maintainer: Daniel Gromer <dgromer@mailbox.org>

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Package mkin updated to version 0.9.48.1 with previous version 0.9.47.5 dated 2018-09-14

Title: Kinetic Evaluation of Chemical Degradation Data
Description: Calculation routines based on the FOCUS Kinetics Report (2006, 2014). Includes a function for conveniently defining differential equation models, model solution based on eigenvalues if possible or using numerical solvers and a choice of the optimisation methods made available by the 'FME' package. If a C compiler (on windows: 'Rtools') is installed, differential equation models are solved using compiled C functions. Please note that no warranty is implied for correctness of results or fitness for a particular purpose.
Author: Johannes Ranke [aut, cre, cph] (<https://orcid.org/0000-0003-4371-6538>), Katrin Lindenberger [ctb], René Lehmann [ctb], Eurofins Regulatory AG [cph]
Maintainer: Johannes Ranke <jranke@uni-bremen.de>

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Package colorSpec updated to version 0.8-3 with previous version 0.7-5 dated 2018-11-19

Title: Color Calculations with Emphasis on Spectral Data
Description: Calculate with spectral properties of light sources, materials, cameras, eyes, and scanners. Build complex systems from simpler parts using a spectral product algebra. For light sources, compute CCT, CRI, and SSI. For object colors, compute optimal colors and Logvinenko coordinates. Work with the standard CIE illuminants and color matching functions, and read spectra from text files, including CGATS files. Estimate a spectrum from its response. A user guide and 8 vignettes are included.
Author: Glenn Davis [aut, cre]
Maintainer: Glenn Davis <gdavis@gluonics.com>

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Package tidytransit updated to version 0.3.8 with previous version 0.3.6 dated 2019-02-04

Title: Read, Validate, Analyze, and Map Files in the General Transit Feed Specification
Description: Read General Transit Feed Specification (GTFS) zipfiles into a list of R dataframes. Perform validation of the data structure against the specification. Analyze the headways and frequencies at routes and stops. Create maps and perform spatial analysis on the routes and stops. Please see the GTFS documentation here for more detail: <http://gtfs.org/>.
Author: Tom Buckley [aut, cre], Danton Noriega-Goodwin [aut], Flavio Poletti [aut], Angela Li [aut], Mark Padgham [aut], Elaine McVey [ctb], Charles Hans Thompson [ctb], Michael Sumner [ctb], Patrick Hausmann [ctb], Bob Rudis [ctb], Kearey Smith [ctb], Dave Vautin [ctb], Kyle Walker [ctb]
Maintainer: Tom Buckley <tom@tbuckl.com>

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Package RandomFieldsUtils updated to version 0.5.3 with previous version 0.5.1 dated 2019-02-14

Title: Utilities for the Simulation and Analysis of Random Fields
Description: Various utilities are provided that might be used in spatial statistics and elsewhere. It delivers a method for solving linear equations that checks the sparsity of the matrix before any algorithm is used. Furthermore, it includes the Struve functions.
Author: Martin Schlather [aut, cre], Reinhard Furrer [ctb], Martin Kroll [ctb], Brian D. Ripley [ctb]
Maintainer: Martin Schlather <schlather@math.uni-mannheim.de>

Diff between RandomFieldsUtils versions 0.5.1 dated 2019-02-14 and 0.5.3 dated 2019-03-04

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Package packHV updated to version 2.2 with previous version 2.1 dated 2016-11-03

Title: A few Useful Functions for Statisticians
Description: Various useful functions for statisticians: describe data, plot Kaplan-Meier curves with numbers of subjects at risk, compare data sets, display spaghetti-plot, build multi-contingency tables...
Author: Hugo Varet
Maintainer: Hugo Varet <varethugo@gmail.com>

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Package Corbi updated to version 0.4-4 with previous version 0.4-3 dated 2018-12-18

Title: Collection of Rudimentary Bioinformatics Tools
Description: Provides a bundle of basic and fundamental bioinformatics tools, such as network querying and alignment, subnetwork extraction and search, network biomarker identification.
Author: Ling-Yun Wu [aut, cre], Qiang Huang [aut], Duanchen Sun [aut]
Maintainer: Ling-Yun Wu <wulingyun@gmail.com>

Diff between Corbi versions 0.4-3 dated 2018-12-18 and 0.4-4 dated 2019-03-04

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More information about Corbi at CRAN
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Package asremlPlus updated to version 4.1-22 with previous version 4.1-10 dated 2019-01-09

Title: Augments 'ASReml-R' in Fitting Mixed Models and Packages Generally in Exploring Prediction Differences
Description: Assists in automating the testing of terms in mixed models when 'asreml' is used to fit the models. Also used to display, in tables and graphs, predictions obtained using any model fitting function and to explore differences between predictions. The content falls into the following natural groupings: (i) Data, (ii) Object manipulation functions, (iii) Model modification functions, (iv) Model testing functions, (v) Model diagnostics functions, (vi) Prediction production and presentation functions, (vii) Response transformation functions, and (viii) Miscellaneous functions. A history of the fitting of a sequence of models is kept in a data frame. Procedures are available for choosing models that conform to the hierarchy or marginality principle and for displaying predictions for significant terms in tables and graphs. The 'asreml' package provides a computationally efficient algorithm for fitting mixed models using Residual Maximum Likelihood. It is a commercial packages that can be purchased from 'VSNi' <http://www.vsni.co.uk/> as 'asreml-R', who will supply a zip file for local installation/updating. It is not needed for functions that are methods for 'alldiffs' and 'data.frame' objects. The package 'asremPlus' can also be installed from <http://chris.brien.name/rpackages/>.
Author: Chris Brien <Chris.Brien@unisa.edu.au>.
Maintainer: Chris Brien <Chris.Brien@unisa.edu.au>

Diff between asremlPlus versions 4.1-10 dated 2019-01-09 and 4.1-22 dated 2019-03-04

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Package tis updated to version 1.37.1 with previous version 1.37 dated 2019-02-07

Title: Time Indexes and Time Indexed Series
Description: Functions and S3 classes for time indexes and time indexed series, which are compatible with FAME frequencies.
Author: Jeff Hallman <jeffhallman@gmail.com>
Maintainer: Brian Salzer <brian.m.salzer@frb.gov>

Diff between tis versions 1.37 dated 2019-02-07 and 1.37.1 dated 2019-03-04

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Package radiant.data updated to version 0.9.9 with previous version 0.9.7 dated 2018-10-05

Title: Data Menu for Radiant: Business Analytics using R and Shiny
Description: The Radiant Data menu includes interfaces for loading, saving, viewing, visualizing, summarizing, transforming, and combining data. It also contains functionality to generate reproducible reports of the analyses conducted in the application.
Author: Vincent Nijs [aut, cre]
Maintainer: Vincent Nijs <radiant@rady.ucsd.edu>

Diff between radiant.data versions 0.9.7 dated 2018-10-05 and 0.9.9 dated 2019-03-04

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Package MarginalMediation updated to version 0.7.0 with previous version 0.5.1 dated 2018-04-10

Title: Marginal Mediation
Description: Provides the ability to perform "Marginal Mediation"--mediation wherein the indirect and direct effects are in terms of the average marginal effects (Bartus, 2005, <https://EconPapers.repec.org/RePEc:tsj:stataj:v:5:y:2005:i:3:p:309-329>). The style of the average marginal effects stems from Thomas Leeper's work on the "margins" package. This framework allows the use of categorical mediators and outcomes with little change in interpretation from the continuous mediators/outcomes. See <doi:10.13140/RG.2.2.18465.92001> for more details on the method.
Author: Tyson S Barrett [aut, cre] (<https://orcid.org/0000-0002-2137-1391>), Angelo Canty [ctb] (S original bootstrap method, http://statwww.epfl.ch/davison/BMA/library.html), Brian D. Ripley [ctb] (R port, bootstrap method), Thomas Leeper [ctb] (Vectorized marginal effects, https://thomasleeper.com/software.html)
Maintainer: Tyson S Barrett <t.barrett@aggiemail.usu.edu>

Diff between MarginalMediation versions 0.5.1 dated 2018-04-10 and 0.7.0 dated 2019-03-04

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Package hash updated to version 2.2.6.1 with previous version 3.0.1 dated 2014-02-24

Title: Full Feature Implementation of Hash/Associated Arrays/Dictionaries
Description: Implements a data structure similar to hashes in Perl and dictionaries in Python but with a purposefully R flavor. For objects of appreciable size, access using hashes outperforms native named lists and vectors.
Author: Christopher Brown
Maintainer: Christopher Brown <chris.brown@decisionpatterns.com>

Diff between hash versions 3.0.1 dated 2014-02-24 and 2.2.6.1 dated 2019-03-04

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Package CRF updated to version 0.4-2 with previous version 0.4-1 dated 2018-12-27

Title: Conditional Random Fields
Description: Implements modeling and computational tools for conditional random fields (CRF) model as well as other probabilistic undirected graphical models of discrete data with pairwise and unary potentials.
Author: Ling-Yun Wu [aut, cre]
Maintainer: Ling-Yun Wu <wulingyun@gmail.com>

Diff between CRF versions 0.4-1 dated 2018-12-27 and 0.4-2 dated 2019-03-04

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Package XML updated to version 3.98-1.18 with previous version 3.98-1.17 dated 2019-02-08

Title: Tools for Parsing and Generating XML Within R and S-Plus
Description: Many approaches for both reading and creating XML (and HTML) documents (including DTDs), both local and accessible via HTTP or FTP. Also offers access to an 'XPath' "interpreter".
Author: Duncan Temple Lang and the CRAN Team
Maintainer: ORPHANED

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Package RHMS updated to version 1.5 with previous version 1.4 dated 2018-05-28

Title: Hydrologic Modelling System for R Users
Description: Hydrologic modelling system is an object oriented tool which enables R users to simulate and analyze hydrologic events. The package proposes functions and methods for construction, simulation, visualization, and calibration of hydrologic systems.
Author: Rezgar Arabzadeh ; Shahab Araghinejad
Maintainer: Rezgar Arabzadeh <rezgararabzadeh@ut.ac.ir>

Diff between RHMS versions 1.4 dated 2018-05-28 and 1.5 dated 2019-03-04

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Package REBayes updated to version 1.8 with previous version 1.4 dated 2018-12-17

Title: Empirical Bayes Estimation and Inference
Description: Kiefer-Wolfowitz maximum likelihood estimation for mixture models and some other density estimation and regression methods based on convex optimization. See Koenker and Gu (2017) REBayes: An R Package for Empirical Bayes Mixture Methods, Journal of Statistical Software, 82, 1--26, <DOI:10.18637/jss.v082.i08>.
Author: Roger Koenker [aut, cre], Jiaying Gu [ctb], Ivan Mizera [ctb]
Maintainer: Roger Koenker <rkoenker@uiuc.edu>

Diff between REBayes versions 1.4 dated 2018-12-17 and 1.8 dated 2019-03-04

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Package RCurl updated to version 1.95-4.12 with previous version 1.95-4.11 dated 2018-07-15

Title: General Network (HTTP/FTP/...) Client Interface for R
Description: A wrapper for 'libcurl' <http://curl.haxx.se/libcurl/> Provides functions to allow one to compose general HTTP requests and provides convenient functions to fetch URIs, get & post forms, etc. and process the results returned by the Web server. This provides a great deal of control over the HTTP/FTP/... connection and the form of the request while providing a higher-level interface than is available just using R socket connections. Additionally, the underlying implementation is robust and extensive, supporting FTP/FTPS/TFTP (uploads and downloads), SSL/HTTPS, telnet, dict, ldap, and also supports cookies, redirects, authentication, etc.
Author: Duncan Temple Lang and the CRAN team
Maintainer: Duncan Temple Lang <duncan@r-project.org>

Diff between RCurl versions 1.95-4.11 dated 2018-07-15 and 1.95-4.12 dated 2019-03-04

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Package AnaCoDa updated to version 0.1.2.2 with previous version 0.1.2.1 dated 2018-11-27

Title: Analysis of Codon Data under Stationarity using a Bayesian Framework
Description: Is a collection of models to analyze genome scale codon data using a Bayesian framework. Provides visualization routines and checkpointing for model fittings. Currently published models to analyze gene data for selection on codon usage based on Ribosome Overhead Cost (ROC) are: ROC (Gilchrist et al. (2015) <doi:10.1093/gbe/evv087>), and ROC with phi (Wallace & Drummond (2013) <doi:10.1093/molbev/mst051>). In addition 'AnaCoDa' contains three currently unpublished models. The FONSE (First order approximation On NonSense Error) model analyzes gene data for selection on codon usage against of nonsense error rates. The PA (PAusing time) and PANSE (PAusing time + NonSense Error) models use ribosome footprinting data to analyze estimate ribosome pausing times with and without nonsense error rate from ribosome footprinting data.
Author: Cedric Landerer [aut, cre], Gabriel Hanas [ctb], Jeremy Rogers [ctb], Alex Cope [ctb], Denizhan Pak [ctb]
Maintainer: Cedric Landerer <cedric.landerer@gmail.com>

Diff between AnaCoDa versions 0.1.2.1 dated 2018-11-27 and 0.1.2.2 dated 2019-03-04

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Package tau updated to version 0.0-21 with previous version 0.0-20 dated 2017-09-27

Title: Text Analysis Utilities
Description: Utilities for text analysis.
Author: Christian Buchta [aut], Kurt Hornik [aut, cre] (<https://orcid.org/0000-0003-4198-9911>), Ingo Feinerer [aut], David Meyer [aut]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

Diff between tau versions 0.0-20 dated 2017-09-27 and 0.0-21 dated 2019-03-04

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Package sunburstR updated to version 2.1.1 with previous version 2.1.0 dated 2018-09-18

Title: 'Htmlwidget' for 'Kerry Rodden' 'd3.js' Sequence and 'd2b' Sunburst
Description: Make interactive 'd3.js' sequence sunburst diagrams in R with the convenience and infrastructure of an 'htmlwidget'.
Author: Mike Bostock [aut, cph] (d3.js library, http://d3js.org), Kerry Rodden [aut, cph] (sequences library in htmlwidgets/lib, https://gist.github.com/kerryrodden/7090426), Kevin Warne [aut, cph] (d2b sunburst library in htmlwidgets/lib, https://github.com/d2bjs/d2b), Kent Russell [aut, cre] (R interface), Florian Breitwieser [ctb] (R interface), CJ Yetman [ctb] (R interface, <https://orcid.org/0000-0001-5099-9500>)
Maintainer: Kent Russell <kent.russell@timelyportfolio.com>

Diff between sunburstR versions 2.1.0 dated 2018-09-18 and 2.1.1 dated 2019-03-04

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Package optweight updated to version 0.2.2 with previous version 0.2.1 dated 2019-01-16

Title: Targeted Stable Balancing Weights Using Optimization
Description: Use optimization to estimate weights that balance covariates for binary, multinomial, continuous, and longitudinal treatments in the spirit of Zubizarreta (2015) <doi:10.1080/01621459.2015.1023805>. The degree of balance can be specified for each covariate. In addition, sampling weights can be estimated that allow a sample to generalize to a population specified with given target moments of covariates.
Author: Noah Greifer [aut, cre]
Maintainer: Noah Greifer <noah.greifer@gmail.com>

Diff between optweight versions 0.2.1 dated 2019-01-16 and 0.2.2 dated 2019-03-04

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Package synthACS updated to version 1.4.5 with previous version 1.4.4 dated 2019-01-02

Title: Synthetic Microdata and Spatial MicroSimulation Modeling for ACS Data
Description: Provides access to curated American Community Survey (ACS) base tables via a wrapper to library(acs). Builds synthetic micro-datasets at any user-specified geographic level with ten default attributes; and, conducts spatial microsimulation modeling (SMSM) via simulated annealing. SMSM is conducted in parallel by default. Lastly, we provide functionality for data-extensibility of micro-datasets.
Author: Alex Whitworth [aut, cre]
Maintainer: Alex Whitworth <whitworth.alex@gmail.com>

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Package rNOMADS updated to version 2.4.1 with previous version 2.4.0 dated 2019-01-04

Title: An R Interface to the NOAA Operational Model Archive and Distribution System
Description: An interface to the National Oceanic and Atmospheric Administration's Operational Model Archive and Distribution System (NOMADS, see <http://nomads.ncep.noaa.gov/> for more information) that allows R users to quickly and efficiently download global and regional weather model data for processing. rNOMADS currently supports a variety of models ranging from global weather data to an altitude of over 40 km, to high resolution regional weather models, to wave and sea ice models. It can also retrieve archived NOMADS models. rNOMADS can retrieve binary data in grib format as well as import ascii data directly into R by interfacing with the GrADS-DODS system.
Author: Daniel C. Bowman [aut, cre]
Maintainer: Daniel C. Bowman <danny.c.bowman@gmail.com>

Diff between rNOMADS versions 2.4.0 dated 2019-01-04 and 2.4.1 dated 2019-03-04

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