Fri, 16 Feb 2018

Package PowerUpR updated to version 0.2.3 with previous version 0.1.3 dated 2017-02-17

Title: Power Analysis Tools for Multilevel Randomized Experiments
Description: R version of PowerUp! <https://www.causalevaluation.org/>. Includes tools to calculate statistical power, minimum detectable effect size, and minimum required sample size for various multilevel randomized experiments with continuous outcomes.
Author: Metin Bulus [aut, cre, trl], Nianbo Dong [aut]
Maintainer: Metin Bulus <bulusmetin@gmail.com>

Diff between PowerUpR versions 0.1.3 dated 2017-02-17 and 0.2.3 dated 2018-02-16

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New package miscF with initial version 0.1-4
Package: miscF
Title: Miscellaneous Functions
Version: 0.1-4
Author: Dai Feng
Description: Various functions for random number generation, density estimation, classification, curve fitting, and spatial data analysis.
Maintainer: Dai Feng <dai_feng@merck.com>
Depends: R (>= 3.0.2), MASS (>= 7.3-45), R2jags (>= 0.5-7)
Imports: MCMCpack (>= 1.2-4), mvtnorm (>= 0.9-9992)
Suggests: mixAK (>= 2.6), BRugs (>= 0.8-6)
License: GPL
NeedsCompilation: yes
Packaged: 2018-02-16 21:41:16 UTC; dai
Repository: CRAN
Date/Publication: 2018-02-16 22:59:53 UTC

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Package findR updated to version 0.2.0 with previous version 0.1.0 dated 2018-01-30

Title: Find Code Snippets, R Scripts, R Markdown, PDF and Text Files with Pattern Matching
Description: Scans all directories and subdirectories of a path for code snippets, R scripts, R Markdown, PDF or text files containing a specific pattern. Files found can be copied to a new folder.
Author: David Zumbach [aut, cre]
Maintainer: David Zumbach <david.zumbach@gfzb.ch>

Diff between findR versions 0.1.0 dated 2018-01-30 and 0.2.0 dated 2018-02-16

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New package spider with initial version 1.5.0
Package: spider
Type: Package
Title: Species Identity and Evolution in R
Version: 1.5.0
Date: 2018-02-15
Author: Samuel Brown, Rupert Collins, Stephane Boyer, Marie-Caroline Lefort, Jagoba Malumbres-Olarte, Cor Vink, Rob Cruickshank
Maintainer: Rupert A. Collins <rupertcollins@gmail.com>
Description: Analysis of species limits and DNA barcoding data. Included are functions for generating important summary statistics from DNA barcode data, assessing specimen identification efficacy, testing and optimizing divergence threshold limits, assessment of diagnostic nucleotides, and calculation of the probability of reciprocal monophyly. Additionally, a sliding window function offers opportunities to analyse information across a gene, often used for marker design in degraded DNA studies. Further information on the package has been published in Brown et al (2012) <doi:10.1111/j.1755-0998.2011.03108.x>.
License: MIT + file LICENSE
LazyLoad: yes
Imports: ape, pegas, graphics, stats, utils
RoxygenNote: 6.0.1
Suggests: testthat
NeedsCompilation: no
Packaged: 2018-02-16 19:05:02 UTC; rc16041
Repository: CRAN
Date/Publication: 2018-02-16 19:33:47 UTC

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Package NNS updated to version 0.3.8.3 with previous version 0.3.8.2 dated 2018-01-08

Title: Nonlinear Nonparametric Statistics
Description: Nonlinear nonparametric statistics using partial moments. Partial moments are the elements of variance and asymptotically approximate the area of f(x). These robust statistics provide the basis for nonlinear analysis while retaining linear equivalences. NNS offers: Numerical integration, Numerical differentiation, Clustering, Correlation, Dependence, Causal analysis, ANOVA, Regression, Classification, Seasonality, Autoregressive modeling, Normalization and Stochastic dominance. All routines based on: Viole, F. and Nawrocki, D. (2013), Nonlinear Nonparametric Statistics: Using Partial Moments (ISBN: 1490523995).
Author: Fred Viole
Maintainer: Fred Viole <ovvo.financial.systems@gmail.com>

Diff between NNS versions 0.3.8.2 dated 2018-01-08 and 0.3.8.3 dated 2018-02-16

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Package MST updated to version 2.1 with previous version 2.0 dated 2017-04-15

Title: Multivariate Survival Trees
Description: Constructs trees for multivariate survival data using marginal and frailty models. Grows, prunes, and selects the best-sized tree.
Author: Xiaogang Su [aut], Peter Calhoun [aut, cre], Juanjuan Fan [aut]
Maintainer: Peter Calhoun <calhoun.peter@gmail.com>

Diff between MST versions 2.0 dated 2017-04-15 and 2.1 dated 2018-02-16

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Package largeVis updated to version 0.2.1.1 with previous version 0.2.1 dated 2017-05-08

Title: High-Quality Visualizations of Large, High-Dimensional Datasets
Description: Implements the largeVis algorithm (see Tang, et al. (2016) <DOI:10.1145/2872427.2883041>) for visualizing very large high-dimensional datasets. Also very fast search for approximate nearest neighbors; outlier detection; and optimized implementations of the HDBSCAN*, DBSCAN and OPTICS clustering algorithms; plotting functions for visualizing the above.
Author: Amos B. Elberg
Maintainer: ORPHANED

Diff between largeVis versions 0.2.1 dated 2017-05-08 and 0.2.1.1 dated 2018-02-16

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New package dub with initial version 0.1.0
Package: dub
Type: Package
Title: Unpacking Assignment for Lists via Pattern Matching
Version: 0.1.0
Authors@R: person("Eugene", "Ha", , "eha@posteo.de", c("aut", "cre"))
Description: Provides an operator for assigning nested components of a list to names via a concise, Haskell-like pattern matching syntax. This is especially convenient for assigning individual names to the multiple values that a function may return in the form of a list, and for extracting deeply nested list components.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
ByteCompile: true
Suggests: covr, testthat
URL: https://github.com/egnha/dub
BugReports: https://github.com/egnha/dub/issues
Collate: 'util.R' 'assert.R' 'tree.R' 'names.R' 'assign.R'
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-02-16 13:40:32 UTC; eha
Author: Eugene Ha [aut, cre]
Maintainer: Eugene Ha <eha@posteo.de>
Repository: CRAN
Date/Publication: 2018-02-16 19:24:08 UTC

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New package adklakedata with initial version 0.6.1
Package: adklakedata
Type: Package
Title: Adirondack Long-Term Lake Data
Version: 0.6.1
Authors@R: c(person("Luke", "Winslow", role = c("aut", "cre"), email = "lawinslow@gmail.com"), person("Taylor", "Leach", role=c("aut")), person("Tobi", "Hahn", role=c("aut")))
Description: Package for the access and distribution of Long-term lake datasets from lakes in the Adirondack Park, northern New York state. Includes a wide variety of physical, chemical, and biological parameters from 28 lakes. Data are from multiple collection organizations and have been harmonized in both time and space for ease of reuse.
License: MIT + file LICENSE
Imports: rappdirs, httr, tools, utils
Suggests: ggplot2, maps, testthat, sf
Repository: CRAN
BugReports: https://github.com/lawinslow/adklakedata/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-02-16 15:34:27 UTC; lawinslow
Author: Luke Winslow [aut, cre], Taylor Leach [aut], Tobi Hahn [aut]
Maintainer: Luke Winslow <lawinslow@gmail.com>
Date/Publication: 2018-02-16 19:08:16 UTC

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Package lfe updated to version 2.6-2291 with previous version 2.5-1998 dated 2016-04-18

Title: Linear Group Fixed Effects
Description: Transforms away factors with many levels prior to doing an OLS. Useful for estimating linear models with multiple group fixed effects, and for estimating linear models which uses factors with many levels as pure control variables. Includes support for instrumental variables, conditional F statistics for weak instruments, robust and multi-way clustered standard errors, as well as limited mobility bias correction.
Author: Simen Gaure, Ragnar Frisch Centre for Economic Research
Maintainer: Simen Gaure <Simen.Gaure@frisch.uio.no>

Diff between lfe versions 2.5-1998 dated 2016-04-18 and 2.6-2291 dated 2018-02-16

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New package IBCF.MTME with initial version 1.1-2
Package: IBCF.MTME
Title: Item Based Collaborative Filtering for Multi-Trait and Multi-Environment Data
Version: 1.1-2
Date: 2018-02-14
Authors@R: c(person("Francisco Javier", "Luna-Vazquez", email = "frahik@gmail.com", role = c("aut", "cre")), person("Osval Antonio", "Montesinos-Lopez", email= "oamontes1@ucol.mx", role = "aut"), person("Abelardo", "Montesinos-Lopez", role = "aut"), person("Jose", "Crossa", role = "aut"))
Maintainer: Francisco Javier Luna-Vazquez <frahik@gmail.com>
Description: Implements the Item based collaborative filtering (IBCF) method for continues phenotypes in the context of plant breeding where data are collected for various traits that were studied in various environments proposed by Montesinos-López et al. (2017) <doi:10.1534/g3.117.300309>.
Depends: R (>= 3.0.0)
License: LGPL-3
Encoding: UTF-8
LazyData: true
Type: Package
RoxygenNote: 6.0.1
URL: https://github.com/frahik/IBCF.MTME
BugReports: https://github.com/frahik/IBCF.MTME/issues/new
NeedsCompilation: no
Collate: CrossValidation.R IBCF.R IBCF.MTME.R IBCFYear.R methods.R Td2M.R Title.R Wheat_IBCF.R Year_IBCF.R
Imports: lsa, tidyr
Suggests: testthat, knitr, rmarkdown
Packaged: 2018-02-16 00:59:22 UTC; Francisco
Author: Francisco Javier Luna-Vazquez [aut, cre], Osval Antonio Montesinos-Lopez [aut], Abelardo Montesinos-Lopez [aut], Jose Crossa [aut]
Repository: CRAN
Date/Publication: 2018-02-16 18:29:26 UTC

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New package estudy2 with initial version 0.8.4
Package: estudy2
Type: Package
Title: An Implementation of Parametric and Nonparametric Event Study
Version: 0.8.4
Date: 2018-02-16
Authors@R: person("Iegor", "Rudnytskyi", , "iegor.rudnytskyi@gmail.com", c("aut", "cre"))
Description: An implementation of a most commonly used event study methodology, including both parametric and nonparametric tests. It contains variety aspects of the rate of return estimation (the core calculation is done in C++), as well as three classical for event study market models: mean adjusted returns, market adjusted returns and single-index market models. There are 6 parametric and 6 nonparametric tests provided, which examine cross-sectional daily abnormal return (see the documentation of the functions for more information). Parametric tests include tests proposed by Brown and Warner (1980) <DOI:10.1016/0304-405X(80)90002-1>, Brown and Warner (1985) <DOI:10.1016/0304-405X(85)90042-X>, Boehmer et al. (1991) <DOI:10.1016/0304-405X(91)90032-F>, Patell (1976) <DOI:10.2307/2490543>, and Lamb (1995) <DOI:10.2307/253695>. Nonparametric tests covered in estudy2 are tests described in Corrado and Zivney (1992) <DOI:10.2307/2331331>, McConnell and Muscarella (1985) <DOI:10.1016/0304-405X(85)90006-6>, Boehmer et al. (1991) <DOI:10.1016/0304-405X(91)90032-F>, Cowan (1992) <DOI:10.1007/BF00939016>, Corrado (1989) <DOI:10.1016/0304-405X(89)90064-0>, Campbell and Wasley (1993) <DOI:10.1016/0304-405X(93)90025-7>, Savickas (2003) <DOI:10.1111/1475-6803.00052>, Kolari and Pynnonen (2010) <DOI:10.1093/rfs/hhq072>. Furthermore, tests for the cumulative abnormal returns proposed by Brown and Warner (1985) <DOI:10.1016/0304-405X(85)90042-X> and Lamb (1995) <DOI:10.2307/253695> are included.
License: GPL-3
LazyData: TRUE
URL: http://github.com/irudnyts/estudy2
BugReports: http://github.com/irudnyts/estudy2/issues
Depends: R (>= 3.1)
Imports: tseries (>= 0.10-42), zoo (>= 1.8-0), matrixStats (>= 0.52.2), Rcpp (>= 0.12.13)
LinkingTo: Rcpp
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown, magrittr
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2018-02-16 11:11:19 UTC; irudnyts
Author: Iegor Rudnytskyi [aut, cre]
Maintainer: Iegor Rudnytskyi <iegor.rudnytskyi@gmail.com>
Repository: CRAN
Date/Publication: 2018-02-16 18:32:52 UTC

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Package nlme updated to version 3.1-131.1 with previous version 3.1-135.5 dated 2018-02-16

Title: Linear and Nonlinear Mixed Effects Models
Description: Fit and compare Gaussian linear and nonlinear mixed-effects models.
Author: José Pinheiro [aut] (S version), Douglas Bates [aut] (up to 2007), Saikat DebRoy [ctb] (up to 2002), Deepayan Sarkar [ctb] (up to 2005), EISPACK authors [ctb] (src/rs.f), Siem Heisterkamp [ctb] (Author fixed sigma), Bert Van Willigen [ctb] (Programmer fixed sigma), R-core [aut, cre]
Maintainer: R-core <R-core@R-project.org>

Diff between nlme versions 3.1-135.5 dated 2018-02-16 and 3.1-131.1 dated 2018-02-16

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Package RSiteCatalyst updated to version 1.4.14 with previous version 1.4.13 dated 2017-07-21

Title: R Client for Adobe Analytics API V1.4
Description: Functions for interacting with the Adobe Analytics API V1.4 (<https://api.omniture.com/admin/1.4/rest/>).
Author: Willem Paling, Randy Zwitch & Jowanza Joseph
Maintainer: Randy Zwitch <rzwitch+rsitecatalyst@gmail.com>

Diff between RSiteCatalyst versions 1.4.13 dated 2017-07-21 and 1.4.14 dated 2018-02-16

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Package recurse updated to version 1.1.0 with previous version 1.0.1 dated 2017-12-11

Title: Computes Revisitation Metrics for Trajectory Data
Description: Computes revisitation metrics for trajectory data, such as the number of revisitations for each location as well as the time spent for that visit and the time since the previous visit. Also includes functions to plot data.
Author: Chloe Bracis <cbracis@uw.edu>
Maintainer: Chloe Bracis <cbracis@uw.edu>

Diff between recurse versions 1.0.1 dated 2017-12-11 and 1.1.0 dated 2018-02-16

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New package ppcSpatial with initial version 0.1.0
Package: ppcSpatial
Type: Package
Title: Spatial Analysis of Pakistan Population Census
Version: 0.1.0
Authors@R: c( person(c("Muhammad", "Yaseen"), email = "myaseen208@gmail.com", role = c("aut", "cre")) , person(c("Muhammad", "Arfan", "Dilber"), email = "pbsfsd041@gmail.com", role = c("aut", "ctb")) )
Maintainer: Muhammad Yaseen <myaseen208@gmail.com>
Description: Spatial Analysis for exploration of Pakistan Population Census 2017 (<http://www.pbscensus.gov.pk/>). It uses data from R package 'PakPC2017'.
Depends: R (>= 3.1)
Imports: dplyr, ggplot2, htmltools, htmlwidgets, leaflet, magrittr, PakPC2017, rgdal, scales, shiny, tidyr, tmap
Suggests: testthat
License: GPL-3
URL: https://github.com/MYaseen208/ppcSpatial
LazyData: TRUE
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-02-15 08:20:14 UTC; yaseen
Author: Muhammad Yaseen [aut, cre], Muhammad Arfan Dilber [aut, ctb]
Repository: CRAN
Date/Publication: 2018-02-16 16:52:31 UTC

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New package phenoCDM with initial version 0.0.2
Package: phenoCDM
Title: Continuous Development Models for Incremental Time-Series Analysis
Version: 0.0.2
Date: 2018-02-14
Authors@R: person("Bijan", "Seyednasrollah", email = "bijan.s.nasr@gmail.com", role = c("aut", "cre"))
Author: Bijan Seyednasrollah [aut, cre]
Maintainer: Bijan Seyednasrollah <bijan.s.nasr@gmail.com>
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.
Depends: rjags
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1.9000
BugReports: https://github.com/bnasr/phenoCDM/issues
NeedsCompilation: no
Packaged: 2018-02-14 22:35:19 UTC; bijan
Repository: CRAN
Date/Publication: 2018-02-16 16:48:17 UTC

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New package genBart with initial version 1.0.0
Package: genBart
Type: Package
Title: Generate 'BART' File
Version: 1.0.0
Authors@R: c( person("Jacob", "Cardenas", email = "jacob.cardenas@bswhealth.org", role = c("aut", "cre")), person("Jacob", "Turner", role = "aut"), person("Derek", "Blankenship", role = "aut") )
Description: A set of functions to generate and format results from statistical analyses of a wide range of high throughput experiments that can then be uploaded into the 'BART' (Bio-Statistical Analysis Reporting Tool) 'shiny' app <https://github.com/jcardenas14/BART>. The app provides users with tools to visualize and efficiently sift through large amounts of data and results.
Depends: R (>= 3.4.0)
Imports: clValid (>= 0.6-6), data.table (>= 1.10.4), fastcluster (>= 1.1.22), ggplot2 (>= 2.2.1), grid (>= 3.3.3), gtools (>= 3.5.0), limma (>= 3.30.13), NMF (>= 0.20.6), pca3d (>= 0.10), psych (>= 1.7.3.21), qusage (>= 2.6.1), RColorBrewer (>= 1.1-2), reshape2 (>= 1.4.2), rmarkdown (>= 1.5), scales (>= 0.4.1), shiny (>= 1.0.3), shinydashboard (>= 0.5.3), shinyjs (>= 0.9), statmod (>= 1.2.2), stats (>= 3.3.3), stringr (>= 1.2.0), tools (>= 3.3.3), VennDiagram (>= 1.6.17)
Suggests: DESeq2 (>= 1.14.1), edgeR (>= 3.16.5), knitr (>= 1.15.1), SummarizedExperiment (>= 1.1.6), testthat
License: GPL-2 | GPL-3
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
VignetteBuilder: knitr
RoxygenNote: 6.0.1
biocViews: Microarray, RNASeq, AnnotationData
NeedsCompilation: no
Packaged: 2018-02-14 20:56:10 UTC; e89628
Author: Jacob Cardenas [aut, cre], Jacob Turner [aut], Derek Blankenship [aut]
Maintainer: Jacob Cardenas <jacob.cardenas@bswhealth.org>
Repository: CRAN
Date/Publication: 2018-02-16 16:36:31 UTC

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Package PakPC2017 updated to version 1.0.0 with previous version 0.4.0 dated 2017-12-25

Title: Pakistan Population Census 2017
Description: Provides data sets and functions for exploration of Pakistan Population Census 2017 (<http://www.pbscensus.gov.pk/>).
Author: Muhammad Yaseen [aut, cre], Muhammad Arfan Dilber [ctb]
Maintainer: Muhammad Yaseen <myaseen208@gmail.com>

Diff between PakPC2017 versions 0.4.0 dated 2017-12-25 and 1.0.0 dated 2018-02-16

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Package dataPreparation updated to version 0.3.5 with previous version 0.3.4 dated 2017-12-20

Title: Automated Data Preparation
Description: Do most of the painful data preparation for a data science project with a minimum amount of code; Take advantages of data.table efficiency and use some algorithmic trick in order to perform data preparation in a time and RAM efficient way.
Author: Emmanuel-Lin Toulemonde [aut, cre]
Maintainer: Emmanuel-Lin Toulemonde <el.toulemonde@protonmail.com>

Diff between dataPreparation versions 0.3.4 dated 2017-12-20 and 0.3.5 dated 2018-02-16

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Package BayesNetBP updated to version 1.3.0 with previous version 1.2.1 dated 2017-06-06

Title: Bayesian Network Belief Propagation
Description: Belief propagation methods in Bayesian Networks to propagate evidence through the network. The implementation of these methods are based on the article: Cowell, RG (2005). Local Propagation in Conditional Gaussian Bayesian Networks <http://www.jmlr.org/papers/volume6/cowell05a/>.
Author: Han Yu
Maintainer: Han Yu <hyu9@buffalo.edu>

Diff between BayesNetBP versions 1.2.1 dated 2017-06-06 and 1.3.0 dated 2018-02-16

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Package NLMR updated to version 0.2.1 with previous version 0.2 dated 2018-01-09

Title: Simulating Neutral Landscape Models
Description: Provides neutral landscape models (Gardner et al. 1987 <doi:10.1007/BF02275262>, With 1997 <doi:10.1046/j.1523-1739.1997.96210.x>) that can easily extend in existing landscape analyses. Neutral landscape models range from "hard" neutral models (completely random distributed), to "soft" neutral models (definable spatial characteristics) and generate landscape patterns that are independent of ecological processes. Thus, these patterns can be used as null models in landscape ecology. 'NLMR' combines a large number of algorithms from other published software for simulating neutral landscapes (Saura & Martínez 2000 <doi:10.1023/A:1008107902848>, Etherington et al. 2015 <doi:10.1111/2041-210X.12308>) and includes utility functions to classify and combine the multiple landscapes. The simulation results are obtained in a geospatial data format (raster* objects from the 'raster' package) and can, therefore, be used in any sort of raster data operation that is performed with standard observation data.
Author: Marco Sciaini [aut, cre], Matthias Fritsch [aut], Craig Simpkins [aut], Cédric Scherer [ctb] (Implemented nlm_neigh)
Maintainer: Marco Sciaini <sciaini.marco@gmail.com>

Diff between NLMR versions 0.2 dated 2018-01-09 and 0.2.1 dated 2018-02-16

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Package PPCI updated to version 0.1.1 with previous version 0.1.0 dated 2017-11-22

Title: Projection Pursuit for Cluster Identification
Description: Implements recently developed projection pursuit algorithms for finding optimal linear cluster separators. The clustering algorithms use optimal hyperplane separators based on minimum density, Pavlidis et. al (2016) <https://jmlr.csail.mit.edu/papers/volume17/15-307/15-307.pdf>; minimum normalised cut, Hofmeyr (2017) <doi:10.1109/TPAMI.2016.2609929>; and maximum variance ratio clusterability, Hofmeyr and Pavlidis (2015) <doi:10.1109/SSCI.2015.116>.
Author: David Hofmeyr <dhofmeyr@sun.ac.za> [aut, cre] Nicos Pavlidis <n.pavlidis@lancaster.ac.uk> [aut]
Maintainer: David Hofmeyr <dhofmeyr@sun.ac.za>

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Package worldmet updated to version 0.8.3 with previous version 0.8.0 dated 2017-12-18

Title: Import Surface Meteorological Data from NOAA Integrated Surface Database (ISD)
Description: Functions to import data from more than 30,000 surface meteorological sites around the world managed by the National Oceanic and Atmospheric Administration (NOAA) Integrated Surface Database (ISD, see <https://www.ncdc.noaa.gov/isd>).
Author: David Carslaw [aut, cre]
Maintainer: David Carslaw <david.carslaw@york.ac.uk>

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Package GetDFPData updated to version 0.6 with previous version 0.5 dated 2017-12-07

Title: Reading Annual Financial Reports from Bovespa's DFP, FRE and FCA System
Description: Reads annual financial reports including assets, liabilities, dividends history, stockholder composition and much more from Bovespa's DFP, FRE and FCA systems <http://www.bmfbovespa.com.br/en_us/products/listed-equities-and-derivatives/equities/listed-companies.htm>. These are web based interfaces for all financial reports of companies traded at Bovespa. The package is specially designed for large scale data importation, keeping a tabular (long) structure for easier processing.
Author: Marcelo Perlin [aut, cre]
Maintainer: Marcelo Perlin <marceloperlin@gmail.com>

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Package nlme updated to version 3.1-135.5 with previous version 3.1-135 dated 2017-12-31

Title: Linear and Nonlinear Mixed Effects Models
Description: Fit and compare Gaussian linear and nonlinear mixed-effects models.
Author: José Pinheiro [aut] (S version), Douglas Bates [aut] (up to 2007), Saikat DebRoy [ctb] (up to 2002), Deepayan Sarkar [ctb] (up to 2005), EISPACK authors [ctb] (src/rs.f), Siem Heisterkamp [ctb] (Author fixed sigma), Bert Van Willigen [ctb] (Programmer fixed sigma), R-core [aut, cre]
Maintainer: R-core <R-core@R-project.org>

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Package meta4diag updated to version 2.0.7 with previous version 2.0.6 dated 2017-11-01

Title: Meta-Analysis for Diagnostic Test Studies
Description: Bayesian inference analysis for bivariate meta-analysis of diagnostic test studies using integrated nested Laplace approximation with INLA. A purpose built graphic user interface is available. The installation of R package INLA is compulsory for successful usage. The INLA package can be obtained from <http://www.r-inla.org>. We recommend the testing version, which can be downloaded by running: install.packages("INLA", repos="http://www.math.ntnu.no/inla/R/testing").
Author: Jingyi Guo <jingyi.guo@math.ntnu.no> and Andrea Riebler <andrea.riebler@math.ntnu.no>
Maintainer: Jingyi Guo <jingyi.guo@math.ntnu.no>

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Package mdmb updated to version 0.6-17 with previous version 0.5-27 dated 2018-01-22

Title: Model Based Treatment of Missing Data
Description: Contains model-based treatment of missing data for regression models with missing values in covariates or the dependent variable using maximum likelihood or Bayesian estimation. The regression model can be nonlinear (e.g., including interaction or quadratic effects). Multiple imputation can be also conducted.
Author: Alexander Robitzsch [aut, cre], Oliver Luedtke [aut]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

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Package googleAnalyticsR updated to version 0.5.0 with previous version 0.4.2 dated 2017-10-20

Title: Google Analytics API into R
Description: Interact with the Google Analytics APIs <https://developers.google.com/analytics/>, including the Core Reporting API (v3 and v4), Management API, and Multi-Channel Funnel API.
Author: Mark Edmondson [aut, cre], Artem Klevtsov [ctb], Johann deBoer [ctb], David Watkins [ctb], Olivia Brode-Roger [ctb], Jas Sohi [ctb], Zoran Selinger [ctb]
Maintainer: Mark Edmondson <m@sunholo.com>

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Package ggmuller updated to version 0.5.1 with previous version 0.4 dated 2018-02-08

Title: Create Muller Plots of Evolutionary Dynamics
Description: Create plots that combine a phylogeny and frequency dynamics. Phylogenetic input can be a generic adjacency matrix or a tree of class "phylo". Inspired by similar plots in publications of the labs of RE Lenski and JE Barrick. Named for HJ Muller (who popularised such plots) and H Wickham (whose code this package exploits).
Author: Robert Noble [aut, cre] (<https://orcid.org/0000-0002-8057-4252>)
Maintainer: Robert Noble <robjohnnoble@gmail.com>

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Package getopt updated to version 1.20.2 with previous version 1.20.1 dated 2017-11-29

Title: C-Like 'getopt' Behavior
Description: Package designed to be used with Rscript to write ``#!'' shebang scripts that accept short and long flags/options. Many users will prefer using instead the packages optparse or argparse which add extra features like automatically generated help option and usage, support for default values, positional argument support, etc.
Author: Allen Day. Contributions from Trevor L Davis and Roman Zenka.
Maintainer: Trevor L Davis <trevor.l.davis@gmail.com>

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Package EMMIXcontrasts2 (with last version 0.1.2) was removed from CRAN

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

2017-05-05 0.1.2
2017-05-03 0.0.1

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Package iLaplace (with last version 1.1.0) was removed from CRAN

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

2016-08-19 1.1.0
2015-09-28 1.0.0

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Package sGPCA (with last version 1.0) was removed from CRAN

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2013-07-06 1.0

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Package planor (with last version 1.3-7) was removed from CRAN

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

2017-06-02 1.3-7
2017-02-23 1.3-6
2016-06-30 1.0-1
2015-06-22 0.2-4
2015-03-04 0.2-3
2014-07-10 0.2-0
2014-04-23 0.1-12
2013-09-20 0.1-10
2013-06-10 0.1-8
2013-03-08 0.1-5
2013-02-22 0.1-3
2012-09-27 0.1-1

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