Fri, 08 Nov 2019

Package rvest updated to version 0.3.5 with previous version 0.3.4 dated 2019-05-15

Title: Easily Harvest (Scrape) Web Pages
Description: Wrappers around the 'xml2' and 'httr' packages to make it easy to download, then manipulate, HTML and XML.
Author: Hadley Wickham [aut, cre], RStudio [cph]
Maintainer: Hadley Wickham <hadley@rstudio.com>

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More information about rvest at CRAN
Permanent link

Package ss3sim updated to version 1.0.3 with previous version 0.9.5 dated 2017-04-18

Title: Fisheries Stock Assessment Simulation Testing with Stock Synthesis
Description: Develops a framework for fisheries stock assessment simulation testing with Stock Synthesis (SS) as described in Anderson et al. (2014) <doi:10.1371/journal.pone.0092725>.
Author: Kelli F. Johnson [aut, cre], Sean C. Anderson [aut] (<https://orcid.org/0000-0001-9563-1937>), Kathryn Doering [aut], Cole Monnahan [aut], Christine Stawitz [aut], Ian Taylor [aut], Curry Cunningham [ctb], Allan Hicks [ctb], Felipe Hurtado-Ferro [ctb], Peter Kuriyama [ctb], Roberto Licandeo [ctb], Carey McGilliard [ctb], Melissa Murdian [ctb], Kotaro Ono [ctb], Merrill Rudd [ctb], Cody Szuwalski [ctb], Juan Valero [ctb], Athol Whitten [ctb]
Maintainer: Kelli F. Johnson <kelli.johnson@noaa.gov>

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More information about ss3sim at CRAN
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New package NPBayesImputeCat with initial version 0.2
Package: NPBayesImputeCat
Type: Package
Title: Non-Parametric Bayesian Multiple Imputation for Categorical Data
Version: 0.2
Date: 2019-10-10
Author: Quanli Wang, Daniel Manrique-Vallier, Jerome P. Reiter and Jingchen Hu
Maintainer: Jingchen Hu <jingchen.monika.hu@gmail.com>
Description: These routines create multiple imputations of missing at random categorical data, and create multiply imputed synthesis of categorical data, with or without structural zeros. Imputations and syntheses are based on Dirichlet process mixtures of multinomial distributions, which is a non-parametric Bayesian modeling approach that allows for flexible joint modeling, described in Manrique-Vallier and Reiter (2014) <doi:10.1080/10618600.2013.844700>.
License: GPL (>= 3)
Depends: methods, Rcpp (>= 0.10.2)
LinkingTo: Rcpp
RcppModules: clcm
NeedsCompilation: yes
Repository: CRAN
Packaged: 2019-11-08 19:43:47 UTC; jingchenmonikahu
Date/Publication: 2019-11-08 22:40:08 UTC

More information about NPBayesImputeCat at CRAN
Permanent link

Package icr updated to version 0.6.1 with previous version 0.6.0 dated 2019-06-23

Title: Compute Krippendorff's Alpha
Description: Provides functions to compute and plot Krippendorff's inter-coder reliability coefficient alpha and bootstrapped uncertainty estimates (Krippendorff 2004, ISBN:0761915443). The bootstrap routines are set up to make use of parallel threads where supported.
Author: Alexander Staudt [aut, cre], Pierre L'Ecuyer [ctb] (author of the C++ RNG code)
Maintainer: Alexander Staudt <staudtlex@live.de>

Diff between icr versions 0.6.0 dated 2019-06-23 and 0.6.1 dated 2019-11-08

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More information about icr at CRAN
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Package RNeXML updated to version 2.4.0 with previous version 2.3.0 dated 2019-01-24

Title: Semantically Rich I/O for the 'NeXML' Format
Description: Provides access to phyloinformatic data in 'NeXML' format. The package should add new functionality to R such as the possibility to manipulate 'NeXML' objects in more various and refined way and compatibility with 'ape' objects.
Author: Carl Boettiger [cre, aut] (<https://orcid.org/0000-0002-1642-628X>), Scott Chamberlain [aut] (<https://orcid.org/0000-0003-1444-9135>), Hilmar Lapp [aut] (<https://orcid.org/0000-0001-9107-0714>), Kseniia Shumelchyk [aut], Rutger Vos [aut] (<https://orcid.org/0000-0001-9254-7318>)
Maintainer: Carl Boettiger <cboettig@gmail.com>

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Package Rcpp updated to version 1.0.3 with previous version 1.0.2 dated 2019-07-25

Title: Seamless R and C++ Integration
Description: The 'Rcpp' package provides R functions as well as C++ classes which offer a seamless integration of R and C++. Many R data types and objects can be mapped back and forth to C++ equivalents which facilitates both writing of new code as well as easier integration of third-party libraries. Documentation about 'Rcpp' is provided by several vignettes included in this package, via the 'Rcpp Gallery' site at <http://gallery.rcpp.org>, the paper by Eddelbuettel and Francois (2011, <doi:10.18637/jss.v040.i08>), the book by Eddelbuettel (2013, <doi:10.1007/978-1-4614-6868-4>) and the paper by Eddelbuettel and Balamuta (2018, <doi:10.1080/00031305.2017.1375990>); see 'citation("Rcpp")' for details.
Author: Dirk Eddelbuettel, Romain Francois, JJ Allaire, Kevin Ushey, Qiang Kou, Nathan Russell, Douglas Bates and John Chambers
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package MetricsWeighted updated to version 0.3.0 with previous version 0.2.0 dated 2019-08-19

Title: Weighted Metrics, Scoring Functions and Performance Measures for Machine Learning
Description: Provides weighted versions of several metrics, scoring functions and performance measures used in machine learning, including average unit deviances of the Bernoulli, Tweedie, Poisson, and Gamma distributions, see Jorgensen B. (1997, ISBN: 978-0412997112). The package also contains a weighted version of generalized R-squared, see e.g. Cohen, J. et al. (2002, ISBN: 978-0805822236). Furthermore, 'dplyr' chains are supported.
Author: Michael Mayer [aut, cre, cph], Christian Lorentzen [rev]
Maintainer: Michael Mayer <mayermichael79@gmail.com>

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Package MatTransMix updated to version 0.1.6 with previous version 0.1.4 dated 2019-07-18

Title: Clustering with Matrix Gaussian and Matrix Transformation Mixture Models
Description: Provides matrix Gaussian mixture models, matrix transformation mixture models and their model-based clustering results. The parsimonious models of the mean matrices and variance covariance matrices are implemented with a total of 196 variations.
Author: Xuwen Zhu [aut, cre], Volodymyr Melnykov [aut], Shuchismita Sarkar [ctb], Michael Hutt [ctb, cph], Stephen Moshier [ctb, cph], Rouben Rostamian [ctb, cph], Carl Edward Rasmussen [ctb, cph], Dianne Cook [ctb, cph]
Maintainer: Xuwen Zhu <xzhu20@cba.ua.edu>

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Package RIdeogram updated to version 0.2.0 with previous version 0.1.1 dated 2019-01-15

Title: Drawing SVG Graphics to Visualize and Map Genome-Wide Data on Idiograms
Description: For whole-genome analysis, idiograms are virtually the most intuitive and effective way to map and visualize the genome-wide information. RIdeogram was developed to visualize and map whole-genome data on idiograms with no restriction of species.
Author: Zhaodong Hao [aut, cre], Dekang Lv [aut], Ying Ge [aut], Jisen Shi [aut], Weijers Dolf [aut], Guangchuang Yu [aut], Jinhui Chen [aut]
Maintainer: Zhaodong Hao <haozd1992@163.com>

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Package fsbrain updated to version 0.0.2 with previous version 0.0.1 dated 2019-10-30

Title: Managing and Visualizing Brain Surface Data
Description: Provides high-level access to 'FreeSurfer' <http://freesurfer.net/> neuroimaging data on the level of subjects and groups. Load morphometry data, surfaces and brain parcellations based on atlases. Mask data using labels, load data for specific atlas regions only, and visualize the results directly in 'R'.
Author: Tim Schäfer [aut, cre] (<https://orcid.org/0000-0002-3683-8070>)
Maintainer: Tim Schäfer <ts+code@rcmd.org>

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New package rmRNAseq with initial version 0.1.0
Package: rmRNAseq
Type: Package
Title: RNA-Seq Analysis for Repeated-Measures Data
Version: 0.1.0
Authors@R: c(person("Yet", "Nguyen", email = "tienyettoan@gmail.com", role = c("aut", "cre")), person("Dan", "Nettleton", role = "aut"), person(c("Charity", "Gordon"), c("Law", "Smyth"), role = "ctb", comment = "The authors of limma::voom, which was modified slightly leading to my_voom"), person("Agata", "Michna", role = "ctb", comment = "The author of splineTimeR::splineDiffExprs, which was modified slightly leading to my_splineDiffExprs") )
Description: A differential expression analysis method for RNA-seq data from repeated-measures design using general linear model framework and parametric bootstrap inference. The method accounts for the dependence of gene expression levels due to the repeated-measures through continuous autoregressive correlation structure. The method is described in Chapter 4 of Nguyen (2018) <https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=7433&context=etd>.
Depends: R (>= 3.3)
biocViews:
Imports: AUC (>= 0.3.0), Biobase, DESeq2, edgeR (>= 3.16.5), graphics, limma (>= 3.30.13), MASS (>= 7.3-45), Matrix (>= 1.2-8), methods, nlme (>= 3.1-131), parallel, reshape (>= 0.8.6), rlang, splines, splineTimeR, statmod (>= 1.4.29), stats
License: GPL (>= 2)
LazyData: true
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown, testthat
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2019-11-06 16:52:06 UTC; Yet
Author: Yet Nguyen [aut, cre], Dan Nettleton [aut], Charity Gordon Law Smyth [ctb] (The authors of limma::voom, which was modified slightly leading to my_voom), Agata Michna [ctb] (The author of splineTimeR::splineDiffExprs, which was modified slightly leading to my_splineDiffExprs)
Maintainer: Yet Nguyen <tienyettoan@gmail.com>
Repository: CRAN
Date/Publication: 2019-11-08 13:10:02 UTC

More information about rmRNAseq at CRAN
Permanent link

Package ggeffects updated to version 0.13.0 with previous version 0.12.0 dated 2019-09-03

Title: Create Tidy Data Frames of Marginal Effects for 'ggplot' from Model Outputs
Description: Compute marginal effects from statistical models and returns the result as tidy data frames. These data frames are ready to use with the 'ggplot2'-package. Marginal effects can be calculated for many different models. Interaction terms, splines and polynomial terms are also supported. The main functions are ggpredict(), ggemmeans() and ggeffect(). There is a generic plot()-method to plot the results using 'ggplot2'.
Author: Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>)
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

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Package future updated to version 1.15.0 with previous version 1.14.0 dated 2019-07-02

Title: Unified Parallel and Distributed Processing in R for Everyone
Description: The purpose of this package is to provide a lightweight and unified Future API for sequential and parallel processing of R expression via futures. The simplest way to evaluate an expression in parallel is to use `x %<-% { expression }` with `plan(multiprocess)`. This package implements sequential, multicore, multisession, and cluster futures. With these, R expressions can be evaluated on the local machine, in parallel a set of local machines, or distributed on a mix of local and remote machines. Extensions to this package implement additional backends for processing futures via compute cluster schedulers etc. Because of its unified API, there is no need to modify any code in order switch from sequential on the local machine to, say, distributed processing on a remote compute cluster. Another strength of this package is that global variables and functions are automatically identified and exported as needed, making it straightforward to tweak existing code to make use of futures.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

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Package eechidna updated to version 1.4.0 with previous version 1.3.0 dated 2019-03-17

Title: Exploring Election and Census Highly Informative Data Nationally for Australia
Description: Data from the seven Australian Federal Elections (House of Representatives) between 2001 and 2019, and from the four Australian Censuses over the same period. Includes tools for visualizing and analysing the data, as well as imputing Census data for years in which a Census does not occur. This package incorporates data that is copyright Commonwealth of Australia (Australian Electoral Commission and Australian Bureau of Statistics) 2019.
Author: Di Cook [aut], Anthony Ebert [aut], Jeremy Forbes [aut, cre], Heike Hofmann [aut], Rob Hyndman [aut], Thomas Lumley [aut], Ben Marwick [aut], Carson Sievert [aut], Mingzhu Sun [aut], Dilini Talagala [aut], Nicholas Tierney [aut], Nathaniel Tomasetti [aut], Earo Wang [aut], Fang Zhou [aut], Commonwealth of Australia AEC [cph], Australian Bureau of Statistics ABS [cph]
Maintainer: Jeremy Forbes <jeremyforbes1995@gmail.com>

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Package tidyUSDA updated to version 0.2.4 with previous version 0.2.3 dated 2019-11-02

Title: A Minimal Tool Set for Gathering USDA Quick Stat Data for Analysis and Visualization
Description: Provides a consistent API to pull United States Department of Agriculture census and survey data from the National Agricultural Statistics Service (NASS) QuickStats service <https://quickstats.nass.usda.gov>.
Author: Brad Lindblad [aut, cre], Michael Thomas [ctb], Alex Mindeman [ctb]
Maintainer: Brad Lindblad <bradley.lindblad@gmail.com>

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Package scatterpie updated to version 0.1.4 with previous version 0.1.3 dated 2019-09-26

Title: Scatter Pie Plot
Description: Creates scatterpie plots, especially useful for plotting pies on a map.
Author: Guangchuang Yu [aut, cre] (<https://orcid.org/0000-0002-6485-8781>)
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package rpact updated to version 2.0.5 with previous version 2.0.4 dated 2019-10-02

Title: Confirmatory Adaptive Clinical Trial Design and Analysis
Description: Design and analysis of confirmatory adaptive clinical trials with continuous, binary, and survival endpoints according to the methods described in the monograph by Wassmer and Brannath (2016) <doi:10.1007/978-3-319-32562-0>. This includes classical group sequential as well as multi-stage adaptive hypotheses tests that are based on the combination testing principle.
Author: Gernot Wassmer [aut], Friedrich Pahlke [aut, cre]
Maintainer: Friedrich Pahlke <friedrich.pahlke@rpact.com>

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Package pathfindR updated to version 1.4.0 with previous version 1.3.0 dated 2018-11-20

Title: Enrichment Analysis Utilizing Active Subnetworks
Description: Enrichment analysis enables researchers to uncover mechanisms underlying a phenotype. However, conventional methods for enrichment analysis do not take into account protein-protein interaction information, resulting in incomplete conclusions. pathfindR is a tool for enrichment analysis utilizing active subnetworks. The main function identifies active subnetworks in a protein-protein interaction network using a user-provided list of genes and associated p values. It then performs enrichment analyses on the identified subnetworks, identifying enriched terms (i.e. pathways or, more broadly, gene sets) that possibly underlie the phenotype of interest. pathfindR also offers functionalities to cluster the enriched terms and identify representative terms in each cluster, to score the enriched terms per sample and to visualize analysis results. The enrichment, clustering and other methods implemented in pathfindR are described in detail in Ulgen E, Ozisik O, Sezerman OU. 2019. pathfindR: An R Package for Comprehensive Identification of Enriched Pathways in Omics Data Through Active Subnetworks. Front. Genet. <doi:10.3389/fgene.2019.00858>.
Author: Ege Ulgen, Ozan Ozisik
Maintainer: Ege Ulgen <egeulgen@gmail.com>

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Package geonapi updated to version 0.3 with previous version 0.2-2 dated 2019-10-18

Title: 'GeoNetwork' API R Interface
Description: Provides an R interface to the 'GeoNetwork' API (<https://geonetwork-opensource.org/#api>) allowing to upload and publish metadata in a 'GeoNetwork' web-application and exposte it to OGC CSW.
Author: Emmanuel Blondel [aut, cre] (<https://orcid.org/0000-0002-5870-5762>)
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>

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Package brglm2 updated to version 0.6.0 with previous version 0.5.2 dated 2019-10-12

Title: Bias Reduction in Generalized Linear Models
Description: Estimation and inference from generalized linear models based on various methods for bias reduction and maximum penalized likelihood with powers of the Jeffreys prior as penalty. The 'brglmFit' fitting method can achieve reduction of estimation bias by solving either the mean bias-reducing adjusted score equations in Firth (1993) <doi:10.1093/biomet/80.1.27> and Kosmidis and Firth (2009) <doi:10.1093/biomet/asp055>, or the median bias-reduction adjusted score equations in Kenne et al. (2016) <arXiv:1604.04768>, or through the direct subtraction of an estimate of the bias of the maximum likelihood estimator from the maximum likelihood estimates as in Cordeiro and McCullagh (1991) <http://www.jstor.org/stable/2345592>. See Kosmidis et al (2019) <doi:10.1007/s11222-019-09860-6> for more details. Estimation in all cases takes place via a quasi Fisher scoring algorithm, and S3 methods for the construction of of confidence intervals for the reduced-bias estimates are provided. In the special case of generalized linear models for binomial and multinomial responses (both ordinal and nominal), the adjusted score approaches return estimates with improved frequentist properties, that are also always finite, even in cases where the maximum likelihood estimates are infinite (e.g. complete and quasi-complete separation). 'brglm2' also provides pre-fit and post-fit methods for detecting separation and infinite maximum likelihood estimates in binomial response generalized linear models.
Author: Ioannis Kosmidis [aut, cre] (<https://orcid.org/0000-0003-1556-0302>), Kjell Konis [ctb], Euloge Clovis Kenne Pagui [ctb], Nicola Sartori [ctb]
Maintainer: Ioannis Kosmidis <ioannis.kosmidis@warwick.ac.uk>

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Package AzureGraph updated to version 1.1.0 with previous version 1.0.5 dated 2019-10-15

Title: Simple Interface to 'Microsoft Graph'
Description: A simple interface to the 'Microsoft Graph' API <https://docs.microsoft.com/en-us/graph/overview>. 'Graph' is a comprehensive framework for accessing data in various online Microsoft services. Currently, this package aims to provide an R interface only to the 'Azure Active Directory' part, with a view to supporting interoperability of R and 'Azure': users, groups, registered apps and service principals. However it can be easily extended to cover other services. Part of the 'AzureR' family of packages.
Author: Hong Ooi [aut, cre], Microsoft [cph]
Maintainer: Hong Ooi <hongooi@microsoft.com>

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New package graphicalExtremes with initial version 0.1.0
Package: graphicalExtremes
Title: Statistical Methodology for Graphical Extreme Value Models
Version: 0.1.0
Maintainer: Sebastian Engelke <sebastian.engelke@unige.ch>
Authors@R: c( person("Sebastian", "Engelke", email = "sebastian.engelke@unige.ch", role = c("aut", "cre")), person("Adrien S.", "Hitz", role = "aut"), person("Nicola", "Gnecco", role = "aut"))
Author: Sebastian Engelke [aut, cre], Adrien S. Hitz [aut], Nicola Gnecco [aut]
Description: Statistical methodology for sparse multivariate extreme value models. Methods are provided for exact simulation and statistical inference for multivariate Pareto distributions on graphical structures as described in the paper 'Graphical Models for Extremes' by Engelke and Hitz (2018) <arXiv:1812.01734>.
Depends: R (>= 3.6.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
Suggests: testthat (>= 2.1.0)
RoxygenNote: 6.1.1
Imports: igraph (>= 1.2.4.1), mvtnorm (>= 1.0.10), matrixcalc (>= 1.0.3), Rdpack, stats (>= 3.6.0), grDevices (>= 3.6.0)
RdMacros: Rdpack
NeedsCompilation: no
Packaged: 2019-11-06 18:03:38 UTC; engelkes
Repository: CRAN
Date/Publication: 2019-11-08 09:40:02 UTC

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Package cyanoFilter updated to version 0.1.2 with previous version 0.1.1 dated 2019-08-09

Title: Cyanobacteria Population Identification for Flow Cytometry
Description: An approach to filter out and/or identify synechococcus type cyanobacteria cells from all particles measured via flow cytometry. It combines known characteristics of these cyanobacteria strains alongside gating techniques developed by Mehrnoush, M. et al. (2015) <doi:10.1093/bioinformatics/btu677> in the 'flowDensity' package to identify and separate these cyanobacteria cells from other cell types. Aside the gating techniques in the 'flowDensity' package, an EM style clustering technique is also developed to identify these cyanobacteria cell populations.
Author: Oluwafemi Olusoji [aut, cre], Aerts Marc [ctb], Delaender Frederik [ctb], Neyens Thomas [ctb], Spaak jurg [aut]
Maintainer: Oluwafemi Olusoji <oluwafemi.olusoji@uhasselt.be>

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Package AER updated to version 1.2-8 with previous version 1.2-7 dated 2019-07-30

Title: Applied Econometrics with R
Description: Functions, data sets, examples, demos, and vignettes for the book Christian Kleiber and Achim Zeileis (2008), Applied Econometrics with R, Springer-Verlag, New York. ISBN 978-0-387-77316-2. (See the vignette "AER" for a package overview.)
Author: Christian Kleiber [aut] (<https://orcid.org/0000-0002-6781-4733>), Achim Zeileis [aut, cre] (<https://orcid.org/0000-0003-0918-3766>)
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

Diff between AER versions 1.2-7 dated 2019-07-30 and 1.2-8 dated 2019-11-08

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Package fmri (with last version 1.9) was removed from CRAN

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

2019-05-11 1.9
2016-09-15 1.7-2
2014-06-18 1.5-1
2013-06-12 1.5-0
2012-06-11 1.4-8
2011-10-24 1.4-6
2011-06-15 1.4-5
2011-03-08 1.4-4
2011-01-26 1.4-3
2010-11-10 1.4-2
2010-04-07 1.4-1
2010-02-23 1.4-0
2009-04-14 1.3
2008-05-19 1.2-6
2008-03-28 1.2-5
2007-11-23 1.2-3
2007-09-10 1.2-2
2007-04-23 1.2-0

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Package dti (with last version 1.4.2) was removed from CRAN

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

2019-09-30 1.4.2
2019-07-10 1.4.1
2019-05-09 1.4
2018-12-20 1.3-0.3
2016-10-10 1.2-6.1
2016-09-14 1.2-6
2016-02-09 1.2-4.1
2016-02-02 1.2-4
2014-12-16 1.2-0.1
2014-05-12 1.2-0
2013-11-26 1.1-7
2013-03-25 1.1-4
2012-11-28 1.1-0
2012-05-23 1.0-3
2011-12-07 1.0-0.1
2011-12-01 1.0-0
2011-10-24 0.9-6.3
2011-06-15 0.9-6.2
2011-03-24 0.9-5
2011-03-08 0.9-4
2010-11-11 0.9-3.1
2010-11-10 0.9-3
2010-07-24 0.9-2.1
2010-07-07 0.9-2
2010-05-10 0.9-1.1
2010-04-07 0.9-1
2010-02-23 0.9-0
2009-10-12 0.8-2
2009-09-09 0.8-1
2009-04-15 0.8-0
2008-12-04 0.6-0
2008-05-21 0.5-4

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

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

2019-07-12 1.0.1

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New package sobir with initial version 0.1.1
Package: sobir
Type: Package
Title: Significance of Boundaries
Version: 0.1.1
Author: Ruan de Wet and Dirk Snyman
Maintainer: Ruan de Wet <ruan.de.wet@c4es.co.za>
Description: Separates significant boundary constraints in a dataset from illusions. A modified permutation test is applied using the no-data zone areas above the top-left, top-right and bottom-right boundary lines as test statistics. The observed no-data zone areas are compared to the distribution of the random permutations to calculate a p-value for each boundary line. An article detailing the methodologies and rationale is currently in preparation.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Suggests: testthat
Imports: ggplot2, raster, rlang, scales, sp, statmod, tidyr
NeedsCompilation: no
Packaged: 2019-11-06 15:30:47 UTC; Ruan_de_Wet
Repository: CRAN
Date/Publication: 2019-11-08 08:50:03 UTC

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New package attenuation with initial version 1.0.0
Package: attenuation
Type: Package
Title: Correcting for Attenuation Due to Measurement Error
Version: 1.0.0
Authors@R: c( person("Jonas", "Moss", , "jonas.gjertsen@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-6876-6964") ))
Description: Confidence curves, confidence intervals and p-values for correlation coefficients corrected for attenuation due to measurement error. Implements the methods described in Moss (2019, <arxiv:1911.01576>).
License: MIT + file LICENSE
URL: https://github.com/JonasMoss/attenuation/
BugReports: https://github.com/JonasMoss/attenuation/issues
Encoding: UTF-8
LazyData: true
Suggests: testthat, covr, spelling
RoxygenNote: 6.1.1
Language: en-US
NeedsCompilation: no
Packaged: 2019-11-06 17:29:17 UTC; jonas
Author: Jonas Moss [aut, cre] (<https://orcid.org/0000-0002-6876-6964>)
Maintainer: Jonas Moss <jonas.gjertsen@gmail.com>
Repository: CRAN
Date/Publication: 2019-11-08 09:00:02 UTC

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Package sophisthse (with last version 0.7.0) was removed from CRAN

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

2016-07-15 0.7.0

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Package reReg updated to version 1.2.0 with previous version 1.1.6 dated 2018-10-22

Title: Recurrent Event Regression
Description: A collection of regression models for recurrent event process and failure time data. Available methods include these from Xu et al. (2017) <doi:10.1080/01621459.2016.1173557>, Lin et al. (2000) <doi:10.1111/1467-9868.00259>, Wang et al. (2001) <doi:10.1198/016214501753209031>, Ghosh and Lin (2003) <doi:10.1111/j.0006-341X.2003.00102.x>, and Huang and Wang (2004) <doi:10.1198/016214504000001033>.
Author: Sy Han (Steven) Chiou [aut, cre], Chiung-Yu Huang [aut]
Maintainer: Sy Han (Steven) Chiou <schiou@utdallas.edu>

Diff between reReg versions 1.1.6 dated 2018-10-22 and 1.2.0 dated 2019-11-08

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Package logspline updated to version 2.1.15 with previous version 2.1.14 dated 2019-10-04

Title: Routines for Logspline Density Estimation
Description: Contains routines for logspline density estimation. The function oldlogspline() uses the same algorithm as the logspline package version 1.0.x; i.e. the Kooperberg and Stone (1992) algorithm (with an improved interface). The recommended routine logspline() uses an algorithm from Stone et al (1997) <DOI:10.1214/aos/1031594728>.
Author: Charles Kooperberg [aut, cre], Cleve Moler [ctb] (LINPACK routines in src), Jack Dongarra [ctb] (LINPACK routines in src)
Maintainer: Charles Kooperberg <clk@fredhutch.org>

Diff between logspline versions 2.1.14 dated 2019-10-04 and 2.1.15 dated 2019-11-08

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Package jstable updated to version 0.9.0 with previous version 0.8.6 dated 2019-09-02

Title: Create Tables from Different Types of Regression
Description: Create regression tables from generalized linear model(GLM), generalized estimating equation(GEE), generalized linear mixed-effects model(GLMM), Cox proportional hazards model, survey-weighted generalized linear model(svyglm) and survey-weighted Cox model results for publication.
Author: Jinseob Kim [aut, cre] (<https://orcid.org/0000-0002-9403-605X>), Zarathu [cph, fnd]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>

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Package jskm updated to version 0.3.8 with previous version 0.3.7 dated 2019-10-03

Title: Kaplan-Meier Plot with 'ggplot2'
Description: The function 'jskm()' creates publication quality Kaplan-Meier plot with at risk tables below. 'svyjskm()' provides plot for weighted Kaplan-Meier estimator.
Author: Jinseob Kim [aut, cre] (<https://orcid.org/0000-0002-9403-605X>), Zarathu [cph, fnd]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>

Diff between jskm versions 0.3.7 dated 2019-10-03 and 0.3.8 dated 2019-11-08

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Package haven updated to version 2.2.0 with previous version 2.1.1 dated 2019-07-04

Title: Import and Export 'SPSS', 'Stata' and 'SAS' Files
Description: Import foreign statistical formats into R via the embedded 'ReadStat' C library, <https://github.com/WizardMac/ReadStat>.
Author: Hadley Wickham [aut, cre], Evan Miller [aut, cph] (Author of included ReadStat code), RStudio [cph, fnd]
Maintainer: Hadley Wickham <hadley@rstudio.com>

Diff between haven versions 2.1.1 dated 2019-07-04 and 2.2.0 dated 2019-11-08

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