Tue, 20 Mar 2018

Package taxize updated to version 0.9.3 with previous version 0.9.2 dated 2018-03-01

Title: Taxonomic Information from Around the Web
Description: Interacts with a suite of web 'APIs' for taxonomic tasks, such as getting database specific taxonomic identifiers, verifying species names, getting taxonomic hierarchies, fetching downstream and upstream taxonomic names, getting taxonomic synonyms, converting scientific to common names and vice versa, and more.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>), Eduard Szoecs [aut], Zachary Foster [aut], Zebulun Arendsee [aut], Carl Boettiger [ctb], Karthik Ram [ctb], Ignasi Bartomeus [ctb], John Baumgartner [ctb], James O'Donnell [ctb], Jari Oksanen [ctb], Bastian Greshake Tzovaras [ctb], Philippe Marchand [ctb], Vinh Tran [ctb]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

Diff between taxize versions 0.9.2 dated 2018-03-01 and 0.9.3 dated 2018-03-20

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Package SpatialPack updated to version 0.3 with previous version 0.2-3 dated 2014-08-08

Title: Tools for Assessment the Association Between Two Spatial Processes
Description: Tools to assess the association between two spatial processes. Currently, four methodologies are implemented: A modified t-test to perform hypothesis testing about the independence between the processes, a suitable nonparametric correlation coefficient, the codispersion coefficient, and an F test for assessing the multiple correlation between one spatial process and several others. SpatialPack gives methods to complement methodologies that are available in geoR for one spatial process.
Author: Felipe Osorio [aut, cre], Ronny Vallejos [aut], Francisco Cuevas [ctb], Diego Mancilla [ctb]
Maintainer: Felipe Osorio <felipe.osorios@usm.cl>

Diff between SpatialPack versions 0.2-3 dated 2014-08-08 and 0.3 dated 2018-03-20

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Package RcmdrMisc updated to version 1.0-9 with previous version 1.0-8 dated 2018-02-23

Title: R Commander Miscellaneous Functions
Description: Various statistical, graphics, and data-management functions used by the Rcmdr package in the R Commander GUI for R.
Author: John Fox [aut, cre], Robert Muenchen [ctb], Dan Putler [ctb]
Maintainer: John Fox <jfox@mcmaster.ca>

Diff between RcmdrMisc versions 1.0-8 dated 2018-02-23 and 1.0-9 dated 2018-03-20

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Package phenoCDM updated to version 0.1.2 with previous version 0.0.2 dated 2018-02-16

Title: Continuous Development Models for Incremental Time-Series Analysis
Description: Using the Bayesian state-space approach, we developed a continuous development model to quantify dynamic incremental changes in the response variable. While the model was originally developed for daily changes in forest green-up, the model can be used to predict any similar process. The CDM can capture both timing and rate of nonlinear processes. Unlike statics methods, which aggregate variations into a single metric, our dynamic model tracks the changing impacts over time. The CDM accommodates nonlinear responses to variation in predictors, which changes throughout development.
Author: Bijan Seyednasrollah, Jennifer Swenson, Jean-Christophe Domec, James S. Clark
Maintainer: Bijan Seyednasrollah <bijan.s.nasr@gmail.com>

Diff between phenoCDM versions 0.0.2 dated 2018-02-16 and 0.1.2 dated 2018-03-20

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Package Oarray updated to version 1.4-9 with previous version 1.4-7 dated 2018-03-19

Title: Arrays with Arbitrary Offsets
Description: Generalise the starting point of the array index.
Author: Jonathan Rougier <j.c.rougier@bristol.ac.uk>
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

Diff between Oarray versions 1.4-7 dated 2018-03-19 and 1.4-9 dated 2018-03-20

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Package multinet updated to version 1.1.3 with previous version 1.1.2 dated 2018-03-19

Title: Analysis and Mining of Multilayer Social Networks
Description: Functions for the creation/generation and analysis of multilayer social networks.
Author: Matteo Magnani, Mikael Dubik (lart and glouvain functions). The package uses functions from dlib, Eigen, Spectra and eclat libraries, whose code has been included in our source package.
Maintainer: Matteo Magnani <matteo.magnani@it.uu.se>

Diff between multinet versions 1.1.2 dated 2018-03-19 and 1.1.3 dated 2018-03-20

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New package grImport2 with initial version 0.1-4
Package: grImport2
Version: 0.1-4
Depends: R (>= 2.12.0)
Imports: methods, grDevices, grid, XML, png, jpeg, base64enc
Suggests: gridSVG, rsvg
Title: Importing 'SVG' Graphics
Authors@R: c(person("Simon", "Potter", role = c("aut"), email = "simon.potter@auckland.ac.nz"), person("Paul", "Murrell", role = c("ctb", "cre"), email = "paul@stat.auckland.ac.nz", comment = c(ORCID = "0000-0002-3224-8858")))
Description: Functions for importing external vector images and drawing them as part of 'R' plots. This package is different from the 'grImport' package because, where that package imports 'PostScript' format images, this package imports 'SVG' format images. Furthermore, this package imports a specific subset of 'SVG', so external images must be preprocessed using a package like 'rsvg' to produce 'SVG' that this package can import. 'SVG' features that are not supported by 'R' graphics, e.g., gradient fills, can be imported and then exported via the 'gridSVG' package.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2018-03-20 20:26:47 UTC; pmur002
Author: Simon Potter [aut], Paul Murrell [ctb, cre] (<https://orcid.org/0000-0002-3224-8858>)
Maintainer: Paul Murrell <paul@stat.auckland.ac.nz>
Repository: CRAN
Date/Publication: 2018-03-20 22:22:50 UTC

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Package chngpt updated to version 2018.3-20 with previous version 2018.1-3 dated 2018-01-04

Title: Estimation and Hypothesis Testing for Threshold Regression
Description: Threshold regression models are also called two-phase regression, broken-stick regression, split-point regression, structural change models, and regression kink models. Methods for both continuous and discontinuous threshold models are included, but the support for the former is much greater. This package is described in Fong, Huang, Gilbert and Permar (2017) chngpt: threshold regression model estimation and inference, BMC Bioinformatics, in press, <DOI:10.1186/s12859-017-1863-x>.
Author: Youyi Fong
Maintainer: Youyi Fong <youyifong@gmail.com>

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Package benthos updated to version 1.3-5 with previous version 1.3-4 dated 2017-11-22

Title: Marine Benthic Ecosystem Analysis
Description: Preprocessing tools and biodiversity measures (species abundance, species richness, population heterogeneity and sensitivity) for analysing marine benthic data. See Van Loon et al. (2015) <doi:10.1016/j.seares.2015.05.002> for an application of these tools.
Author: Dennis Walvoort [aut, cre, cph]
Maintainer: Dennis Walvoort <dennis.Walvoort@wur.nl>

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Package BART updated to version 1.6 with previous version 1.5 dated 2018-02-08

Title: Bayesian Additive Regression Trees
Description: Bayesian Additive Regression Trees (BART) provide flexible nonparametric modeling of covariates for continuous, binary and time-to-event outcomes. For more information on BART, see Chipman, George and McCulloch (2010) <doi:10.1214/09-AOAS285> and Sparapani, Logan, McCulloch and Laud (2016) <doi:10.1002/sim.6893>.
Author: Robert McCulloch [aut], Rodney Sparapani [aut, cre], Robert Gramacy [aut], Charles Spanbauer [aut], Matthew Pratola [aut], Jean-Sebastien Roy [ctb], Makoto Matsumoto [ctb], Takuji Nishimura [ctb], Bill Venables [ctb], Brian Ripley [ctb]
Maintainer: Rodney Sparapani <rsparapa@mcw.edu>

Diff between BART versions 1.5 dated 2018-02-08 and 1.6 dated 2018-03-20

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Package bWGR updated to version 1.5.2 with previous version 1.5.1 dated 2018-02-26

Title: Bayesian Whole-Genome Regression
Description: Whole-genome regression methods on Bayesian framework fitted via EM or Gibbs sampling, with optional sampling techniques and kernel term.
Author: Alencar Xavier, William Muir, Shizhong Xu, Katy Rainey.
Maintainer: Alencar Xavier <alenxav@gmail.com>

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Package Tmisc updated to version 0.1.19 with previous version 0.1.17 dated 2017-06-01

Title: Turner Miscellaneous
Description: Miscellaneous utility functions for data manipulation, data tidying, and working with gene expression data.
Author: Stephen Turner [aut, cre] (<https://orcid.org/0000-0001-9140-9028>)
Maintainer: Stephen Turner <vustephen@gmail.com>

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Package powerlmm updated to version 0.2.0 with previous version 0.1.0 dated 2017-09-11

Title: Power Analysis for Longitudinal Multilevel Models
Description: Calculate power for two- and three-level multilevel longitudinal studies with missing data. Both the third-level factor (e.g. therapists, schools, or physicians), and the second-level factor (e.g. subjects), can be assigned random slopes. Studies with partially nested designs, unequal cluster sizes, unequal allocation to treatment arms, and different dropout patterns per treatment are supported. For all designs power can be calculated both analytically and via simulations. The analytical calculations extends the method described in Galbraith et al. (2002) <doi:10.1016/S0197-2456(02)00205-2>, to three-level models. Additionally, the simulation tools provides flexible ways to investigate bias, Type I errors and the consequences of model misspecification.
Author: Kristoffer Magnusson [aut, cre]
Maintainer: Kristoffer Magnusson <hello@kristoffer.email>

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Package WVPlots updated to version 0.3.0 with previous version 0.2.9 dated 2018-03-13

Title: Common Plots for Analysis
Description: Select data analysis plots, under a standardized calling interface implemented on top of 'ggplot2' and 'plotly'. Plots of interest include: 'ROC', gain curve, scatter plot with marginal distributions, conditioned scatter plot with marginal densities, box and stem with matching theoretical distribution, and density with matching theoretical distribution.
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

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Package spnn updated to version 1.1 with previous version 1.0 dated 2018-03-16

Title: Scale Invariant Probabilistic Neural Networks
Description: Scale invariant version of the original PNN proposed by Specht (1990) <doi:10.1016/0893-6080(90)90049-q> with the added functionality of allowing for smoothing along multiple dimensions while accounting for covariances within the data set. It is written in the R statistical programming language. Given a data set with categorical variables, we use this algorithm to estimate the probabilities of a new observation vector belonging to a specific category. This type of neural network provides the benefits of fast training time relative to backpropagation and statistical generalization with only a small set of known observations.
Author: Romin Ebrahimi
Maintainer: Romin Ebrahimi <romin.ebrahimi@utexas.edu>

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Package LAM updated to version 0.2-9 with previous version 0.1-22 dated 2017-11-24

Title: Some Latent Variable Models
Description: Contains some procedures for latent variable modelling with a particular focus on multilevel data. The 'LAM' package contains mean and covariance structure modelling for multivariate normally distributed data (mlnormal()), a general Metropolis-Hastings algorithm (amh()) and penalized maximum likelihood estimation (pmle()).
Author: Alexander Robitzsch [aut,cre]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

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Package imputeTS updated to version 2.6 with previous version 2.5 dated 2017-06-13

Title: Time Series Missing Value Imputation
Description: Imputation (replacement) of missing values in univariate time series. Offers several imputation functions and missing data plots. Available imputation algorithms include: 'Mean', 'LOCF', 'Interpolation', 'Moving Average', 'Seasonal Decomposition', 'Kalman Smoothing on Structural Time Series models', 'Kalman Smoothing on ARIMA models'.
Author: Steffen Moritz
Maintainer: Steffen Moritz <steffen.moritz10@gmail.com>

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Package Greg updated to version 1.2.1 with previous version 1.2 dated 2016-03-28

Title: Regression Helper Functions
Description: Methods for manipulating regression models and for describing these in a style adapted for medical journals. Contains functions for generating an HTML table with crude and adjusted estimates, plotting hazard ratio, plotting model estimates and confidence intervals using forest plots, extending this to comparing multiple models in a single forest plots. In addition to the descriptive methods, there are add-ons for the robust covariance matrix provided by the 'sandwich' package, a function for adding non-linearities to a model, and a wrapper around the 'Epi' package's Lexis() functions for time-splitting a dataset when modeling non-proportional hazards in Cox regressions.
Author: Max Gordon [aut, cre], Reinhard Seifert [aut] (Author of original plotHR)
Maintainer: Max Gordon <max@gforge.se>

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Package fsthet updated to version 1.0.1 with previous version 1.0.0 dated 2017-11-02

Title: Fst-Heterozygosity Smoothed Quantiles
Description: A program to generate smoothed quantiles for the Fst-heterozygosity distribution. Designed for use with large numbers of loci (e.g., genome-wide SNPs). The best case for analyzing the Fst-heterozygosity distribution is when many populations (>10) have been sampled. See Flanagan & Jones (2017) <doi:10.1093/jhered/esx048>.
Author: Sarah P. Flanagan and Adam G. Jones
Maintainer: Sarah P. Flanagan <spflanagan.phd@gmail.com>

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Package auk updated to version 0.2.0 with previous version 0.1.0 dated 2017-10-21

Title: eBird Data Extraction and Processing with AWK
Description: Extract and process bird sightings records from eBird (<http://ebird.org>), an online tool for recording bird observations. Public access to the full eBird database is via the eBird Basic Dataset (EBD; see <http://ebird.org/ebird/data/download> for access), a downloadable text file. This package is an interface to AWK for extracting data from the EBD based on taxonomic, spatial, or temporal filters, to produce a manageable file size that can be imported into R.
Author: Matthew Strimas-Mackey [aut, cre] (<https://orcid.org/0000-0001-8929-7776>), Eliot Miller [aut], Wesley Hochachka [aut], Cornell Lab of Ornithology [cph]
Maintainer: Matthew Strimas-Mackey <mes335@cornell.edu>

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Package PHYLOGR updated to version 1.0.10 with previous version 1.0.8 dated 2014-11-09

Title: Functions for Phylogenetically Based Statistical Analyses
Description: Manipulation and analysis of phylogenetically simulated data sets and phylogenetically based analyses using GLS.
Author: Ramon Diaz-Uriarte <rdiaz@cnio.es> and Theodore Garland, Jr <theodore.garland@ucr.edu>
Maintainer: Ramon Diaz-Uriarte <rdiaz02@gmail.com>

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Package HistDAWass updated to version 1.0.1 with previous version 1.0.0 dated 2017-12-07

Title: Histogram-Valued Data Analysis
Description: In the framework of Symbolic Data Analysis, a relatively new approach to the statistical analysis of multi-valued data, we consider histogram-valued data, i.e., data described by univariate histograms. The methods and the basic statistics for histogram-valued data are mainly based on the L2 Wasserstein metric between distributions, i.e., the Euclidean metric between quantile functions. The package contains unsupervised classification techniques, least square regression and tools for histogram-valued data and for histogram time series. An introducing paper is Irpino A. Verde R. (2015) <doi:10.1007/s11634-014-0176-4>.
Author: Antonio Irpino [aut, cre]
Maintainer: Antonio Irpino <antonio.irpino@unicampania.it>

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Package genlogis updated to version 1.0.0 with previous version 0.5.0 dated 2017-10-31

Title: Generalized Logistic Distribution
Description: Provides basic distribution functions for a generalized logistic distribution proposed by Rathie and Swamee (2006) <https://www.rroij.com/open-access/on-new-generalized-logistic-distributions-and-applicationsbarreto-fhs-mota-jma-and-rathie-pn-.pdf>. It also has an interactive 'RStudio' plot for better guessing dynamically of initial values for ease of included optimization and simulating.
Author: Eduardo Hellas [aut, cre], Eduardo Monteiro [ctb]
Maintainer: Eduardo Hellas <ehellas@gmail.com>

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Package fastmaRching updated to version 1.1.0 with previous version 1.0.0 dated 2018-01-22

Title: Fast Marching Method for Modelling Evolving Boundaries
Description: Fast Marching Method (FMM) first developed by Sethian (1996) <http://www.pnas.org/content/93/4/1591.short>, and further extended by including a second-order approximation, the first-arrival rule, additive weights, and non-homogeneous domains following Silva and Steele (2012) <doi:10.1142/S0219525911003293> and Silva and Steele (2014) <doi:10.1016/j.jas.2014.04.021>.
Author: Fabio Silva
Maintainer: Fabio Silva <fsilva@iphes.cat>

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Package TeXCheckR updated to version 0.5.1 with previous version 0.4.4 dated 2017-11-04

Title: Parses LaTeX Documents for Errors
Description: Checks LaTeX documents and .bib files for typing errors, such as spelling errors, incorrect quotation marks. Also provides useful functions for parsing and linting bibliography files.
Author: Hugh Parsonage
Maintainer: Hugh Parsonage <hugh.parsonage@gmail.com>

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Package rarhsmm updated to version 1.0.7 with previous version 1.0.5 dated 2017-10-17

Title: Regularized Autoregressive Hidden Semi Markov Model
Description: Fit Gaussian hidden Markov (or semi-Markov) models with / without autoregressive coefficients and with / without regularization. The fitting algorithm for the hidden Markov model is illustrated by Rabiner (1989) <doi:10.1109/5.18626>. The shrinkage estimation on the covariance matrices is based on the method by Ledoit et al. (2004) <doi:10.1016/S0047-259X(03)00096-4>. The shrinkage estimation on the autoregressive coefficients uses the elastic net shrinkage detailed in Zou et al. (2005) <doi:10.1111/j.1467-9868.2005.00503.x>.
Author: Zekun (Jack) Xu, Ye Liu
Maintainer: Zekun Xu <zekunxu@gmail.com>

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Package PrivateLR updated to version 1.2-22 with previous version 1.2-21 dated 2014-10-31

Title: Differentially Private Regularized Logistic Regression
Description: Implements two differentially private algorithms for estimating L2-regularized logistic regression coefficients. A randomized algorithm F is epsilon-differentially private (C. Dwork, Differential Privacy, ICALP 2006 <DOI:10.1007/11681878_14>), if |log(P(F(D) in S)) - log(P(F(D') in S))| <= epsilon for any pair D, D' of datasets that differ in exactly one record, any measurable set S, and the randomness is taken over the choices F makes.
Author: Staal A. Vinterbo <Staal.Vinterbo@ntnu.no>
Maintainer: Staal A. Vinterbo <Staal.Vinterbo@ntnu.no>

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New package PPRL with initial version 0.3.4
Package: PPRL
Type: Package
Title: Privacy Preserving Record Linkage
Version: 0.3.4
Date: 2018-03-20
Authors@R: c(person("Rainer", "Schnell", role = c("aut","cph")), person("Dorothea", "Rukasz", role = c("aut", "cre"), email = "mitarbeiter.schnell@uni-due.de"), person("Christian", "Borgs", role = "ctb"), person("Stefan", "Brumme", role = "ctb", comment="HMAC, SHA256"), person("William B.", "Brogden", role = "ctb", comment="Metaphone"), person("Tim", " O'Brien", role = "ctb", comment="Metaphone"), person("Stephen", "Lacy", role = "ctb", comment="Double Metaphone"), person("Apache Software Foundation", role = "cph"))
Author: Rainer Schnell [aut, cph], Dorothea Rukasz [aut, cre], Christian Borgs [ctb], Stefan Brumme [ctb] (HMAC, SHA256), William B. Brogden [ctb] (Metaphone), Tim O'Brien [ctb] (Metaphone), Stephen Lacy [ctb] (Double Metaphone), Apache Software Foundation [cph]
Maintainer: Dorothea Rukasz <mitarbeiter.schnell@uni-due.de>
Description: A toolbox for deterministic, probabilistic and privacy-preserving record linkage techniques. Combines the functionality of the 'Merge ToolBox' (<http://record-linkage.de>) with current privacy-preserving techniques.
License: GPL-3
LazyData: TRUE
Depends: R (>= 3.1.0)
Imports: Rcpp (>= 0.12.7), settings
LinkingTo: Rcpp
RoxygenNote: 6.0.1
NeedsCompilation: yes
Encoding: UTF-8
Packaged: 2018-03-16 19:11:30 UTC; rukasz
Repository: CRAN
Date/Publication: 2018-03-20 13:19:54 UTC

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Package fs updated to version 1.2.1 with previous version 1.2.0 dated 2018-03-13

Title: Cross-Platform File System Operations Based on 'libuv'
Description: A cross-platform interface to file system operations, built on top of the 'libuv' C library.
Author: Jim Hester [aut, cre], Hadley Wickham [aut], libuv project contributors [cph] (libuv library), Joyent, Inc. and other Node contributors [cph] (libuv library), RStudio [cph, fnd]
Maintainer: Jim Hester <james.f.hester@gmail.com>

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Package ecotox updated to version 1.3.1 with previous version 1.3.0 dated 2017-12-08

Title: Analysis of Ecotoxicology
Description: A simple approach to using a probit or logit analysis to calculate lethal concentration (LC) or time (LT) and the appropriate fiducial confidence limits desired for selected LC or LT for ecotoxicology studies (Finney 1971; Wheeler et al. 2006; Robertson et al. 2007). The simplicity of 'ecotox' comes from the syntax it implies within its functions which are similar to functions like glm() and lm(). In addition to the simplicity of the syntax, a comprehensive data frame is produced which gives the user a predicted LC or LT value for the desired level and a suite of important parameters such as fiducial confidence limits and slope. Finney, D.J. (1971, ISBN: 052108041X); Wheeler, M.W., Park, R.M., and Bailer, A.J. (2006) <doi:10.1897/05-320R.1>; Robertson, J.L., Savin, N.E., Russell, R.M., and Preisler, H.K. (2007, ISBN: 0849323312).
Author: Benjamin L Hlina [aut, cre]
Maintainer: Benjamin L Hlina <benjamin.hlina@gmail.com>

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Package rmeta updated to version 3.0 with previous version 2.16 dated 2009-09-29

Title: Meta-Analysis
Description: Functions for simple fixed and random effects meta-analysis for two-sample comparisons and cumulative meta-analyses. Draws standard summary plots, funnel plots, and computes summaries and tests for association and heterogeneity.
Author: Thomas Lumley
Maintainer: Thomas Lumley <t.lumley@auckland.ac.nz>

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Package multipol updated to version 1.0-7 with previous version 1.0-6 dated 2013-01-21

Title: Multivariate Polynomials
Description: Various utilities to manipulate multivariate polynomials.
Author: Robin K. S. Hankin
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

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Package jmvcore updated to version 0.8.5 with previous version 0.8.1.6 dated 2017-11-15

Title: Dependencies for the 'jamovi' Framework
Description: A framework for creating rich interactive analyses for the jamovi platform (see <https://www.jamovi.org> for more information).
Author: Jonathon Love
Maintainer: Jonathon Love <jon@thon.cc>

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Package icesTAF updated to version 1.5-1 with previous version 1.5-0 dated 2018-01-25

Title: Functions to Support the ICES Transparent Assessment Framework
Description: Functions to support the ICES Transparent Assessment Framework <http://taf.ices.dk> to organize data, methods, and results used in ICES assessments. ICES is an organization facilitating international collaboration in marine science.
Author: Arni Magnusson [aut, cre], Colin Millar [aut]
Maintainer: Arni Magnusson <arni.magnusson@ices.dk>

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Package evir updated to version 1.7-4 with previous version 1.7-3 dated 2012-07-26

Title: Extreme Values in R
Description: Functions for extreme value theory, which may be divided into the following groups; exploratory data analysis, block maxima, peaks over thresholds (univariate and bivariate), point processes, gev/gpd distributions.
Author: Bernhard Pfaff [aut, cre], Eric Zivot [ctb], Alexander McNeil [aut] (S original (EVIS)), Alec Stephenson [trl] (R port of EVIS)
Maintainer: Bernhard Pfaff <bernhard@pfaffikus.de>

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Package doBy updated to version 4.6-1 with previous version 4.5-15 dated 2016-03-31

Title: Groupwise Statistics, LSmeans, Linear Contrasts, Utilities
Description: Contains: 1) Facilities for working with grouped data: 'do' something to data stratified 'by' some variables. 2) LSmeans (least-squares means), general linear contrasts. 3) Miscellaneous other utilities.
Author: Søren Højsgaard <sorenh@math.aau.dk> and Ulrich Halekoh <uhalekoh@health.sdu.dk>
Maintainer: Søren Højsgaard <sorenh@math.aau.dk>

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Package catdap updated to version 1.3.4 with previous version 1.2.4 dated 2016-09-08

Title: Categorical Data Analysis Program Package
Description: Categorical data analysis by AIC. The methodology is described in Sakamoto (1992) <ISBN 978-0-7923-1429-5>.
Author: The Institute of Statistical Mathematics
Maintainer: Masami Saga <msaga@mtb.biglobe.ne.jp>

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Package RcppShark (with last version 3.1.1) was removed from CRAN

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

2017-03-04 3.1.1
2016-07-03 3.1.0
2015-08-17 0.1

Permanent link
Package fmlogcondens updated to version 1.0.1 with previous version 1.0.0 dated 2018-03-09

Title: Fast Multivariate Log-Concave Density Estimation
Description: A fast solver for the maximum likelihood estimator (MLE) of a multivariate log-concave probability function. Given a sample X, it estimates a non-parametric density function whose logarithm is a concave function. Many well-known parametric densities belong to that class, among them the normal density, the uniform density, the exponential distribution and many more. This package provides functions for the estimation of a log-concave density and a mixture of log-concave densities in multiple dimensions. While being similar to the package LogConcDEAD, fmlogcondens provides much fast run times for large samples (>= 250 points). As a reference see Fabian Rathke, Christoph Schnörr (2015), <doi:10.1515/auom-2015-0053>.
Author: Fabian Rathke [aut, cre], Christoph Schnörr [aut], Giovanni Garberoglio [cph]
Maintainer: Fabian Rathke <frathke@gmail.com>

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Package document updated to version 3.0.1 with previous version 3.0.0 dated 2018-02-11

Title: Run 'roxygen2' on (Chunks of) Single Code Files
Description: Have you ever been tempted to create 'roxygen2'-style documentation comments for one of your functions that was not part of one of your packages (yet)? This is exactly what this package is about: running 'roxygen2' on (chunks of) a single code file.
Author: Andreas Dominik Cullmann [aut, cre]
Maintainer: Andreas Dominik Cullmann <adc-r@arcor.de>

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New package ciuupi with initial version 1.0.0
Package: ciuupi
Type: Package
Title: Confidence Intervals Utilizing Uncertain Prior Information
Version: 1.0.0
Authors@R: c( person("Rheanna", "Mainzer", email = "rheanna.mainzer@unimelb.edu.au", role = c("aut", "cre")), person("Paul", "Kabaila", email = "P.Kabaila@latrobe.edu.au", role = "aut"))
Description: Computes a confidence interval for a specified linear combination of the regression parameters in a linear regression model with iid normal errors with known variance when there is uncertain prior information that a distinct specified linear combination of the regression parameters takes a given value. This confidence interval, found by numerical constrained optimization, has the required minimum coverage and utilizes this uncertain prior information through desirable expected length properties. This confidence interval has the following three practical applications. Firstly, if the error variance has been accurately estimated from previous data then it may be treated as being effectively known. Secondly, for sufficiently large (dimension of the response vector) minus (dimension of regression parameter vector), greater than or equal to 30 (say), if we replace the assumed known value of the error variance by its usual estimator in the formula for the confidence interval then the resulting interval has, to a very good approximation, the same coverage probability and expected length properties as when the error variance is known. Thirdly, some more complicated models can be approximated by the linear regression model with error variance known when certain unknown parameters are replaced by estimates. This confidence interval is described in Kabaila, P. and Mainzer, R. (2017) <arXiv:1708.09543>, and is a member of the family of confidence intervals proposed by Kabaila, P. and Giri, K. (2009) <doi:10.1016/j.jspi.2009.03.018>.
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: nloptr, statmod, functional, pracma, stats
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-03-20 04:51:35 UTC; Rheanna
Author: Rheanna Mainzer [aut, cre], Paul Kabaila [aut]
Maintainer: Rheanna Mainzer <rheanna.mainzer@unimelb.edu.au>
Repository: CRAN
Date/Publication: 2018-03-20 11:30:28 UTC

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Package smacof updated to version 1.10-5 with previous version 1.9-6 dated 2017-05-11

Title: Multidimensional Scaling
Description: Provides the following approaches for multidimensional scaling (MDS) based on stress minimization using majorization (smacof): basic MDS on symmetric dissimilarity matrices, MDS with external constraints on the configuration, individual differences scaling (idioscal, indscal, and friends), MDS with spherical restrictions, and unfolding. The MDS type can be ratio, interval, ordinal, and monotone splines. Various tools and extensions like jackknife MDS, bootstrap MDS, permutation tests, MDS biplots, gravity models, inverse MDS, unidimensional scaling, drift vectors (asymmetric MDS), classical scaling, and Procrustes are implemented as well.
Author: Patrick Mair [aut, cre], Jan De Leeuw [aut], Ingwer Borg [ctb], Patrick J. F. Groenen [ctb]
Maintainer: Patrick Mair <mair@fas.harvard.edu>

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Package eventdataR updated to version 0.2.0 with previous version 0.1.2 dated 2017-12-05

Title: Event Data Repository
Description: Event dataset repository including both real-life and artificial event logs. They can be used in combination with functionalities provided by the 'bupaR' packages 'edeaR', 'processmapR', etc.
Author: Gert Janssenswillen [aut, cre]
Maintainer: Gert Janssenswillen <gert.janssenswillen@uhasselt.be>

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Package descriptr updated to version 0.4.1 with previous version 0.4.0 dated 2018-02-10

Title: Generate Descriptive Statistics & Explore Statistical Distributions
Description: Generate descriptive statistics such as measures of location, dispersion, frequency tables, cross tables, group summaries and multiple one/two way tables. Visualize and compute percentiles/probabilities of normal, t, f, chi square and binomial distributions.
Author: Aravind Hebbali [aut, cre]
Maintainer: Aravind Hebbali <hebbali.aravind@gmail.com>

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Package VWPre updated to version 1.1.0 with previous version 1.0.1 dated 2017-12-04

Title: Tools for Preprocessing Visual World Data
Description: Gaze data from the Visual World Paradigm requires significant preprocessing prior to plotting and analyzing the data. This package provides functions for preparing visual world eye-tracking data for statistical analysis and plotting. It can prepare data for linear analyses (e.g., ANOVA, Gaussian-family LMER, Gaussian-family GAMM) as well as logistic analyses (e.g., binomial-family LMER and binomial-family GAMM). Additionally, it contains various plotting functions for creating grand average and conditional average plots. See the vignette for samples of the functionality. Currently, the functions in this package are designed for handling data collected with SR Research Eyelink eye trackers using Sample Reports created in SR Research Data Viewer. While we would like to add functionality for data collected with other systems in the future, the current package is considered to be feature-complete; further updates will mainly entail maintenance and the addition of minor functionality.
Author: Vincent Porretta [aut, cre], Aki-Juhani Kyröläinen [aut], Jacolien van Rij [ctb], Juhani Järvikivi [ctb]
Maintainer: Vincent Porretta <vincentporretta@gmail.com>

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Package spm updated to version 1.1.0 with previous version 1.0.0 dated 2017-08-25

Title: Spatial Predictive Modeling
Description: Introduction to some novel accurate hybrid methods of geostatistical and machine learning methods for spatial predictive modelling. It contains two commonly used geostatistical methods, two machine learning methods, four hybrid methods and two averaging methods. For each method, two functions are provided. One function is for assessing the predictive errors and accuracy of the method based on cross-validation. The other one is for generating spatial predictions using the method. For details please see: Li, J., Potter, A., Huang, Z., Daniell, J. J. and Heap, A. (2010) <https:www.ga.gov.au/metadata-gateway/metadata/record/gcat_71407> Li, J., Heap, A. D., Potter, A., Huang, Z. and Daniell, J. (2011) <doi:10.1016/j.csr.2011.05.015> Li, J., Heap, A. D., Potter, A. and Daniell, J. (2011) <doi:10.1016/j.envsoft.2011.07.004> Li, J., Potter, A., Huang, Z. and Heap, A. (2012) <https:www.ga.gov.au/metadata-gateway/metadata/record/74030>.
Author: Jin Li [aut, cre]
Maintainer: Jin Li <jin.li@ga.gov.au>

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