Fri, 01 Sep 2017

Package unitizer updated to version 1.4.4 with previous version 1.4.3 dated 2017-06-08

Title: Interactive R Unit Tests
Description: Simplifies regression tests by comparing objects produced by test code with earlier versions of those same objects. If objects are unchanged the tests pass, otherwise execution stops with error details. If in interactive mode, tests can be reviewed through the provided interactive environment.
Author: Brodie Gaslam [aut, cre]
Maintainer: Brodie Gaslam <brodie.gaslam@yahoo.com>

Diff between unitizer versions 1.4.3 dated 2017-06-08 and 1.4.4 dated 2017-09-01

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Package drake updated to version 4.1.0 with previous version 4.0.0 dated 2017-08-04

Title: Data Frames in R for Make
Description: A solution for reproducible code and high-performance computing.
Author: William Michael Landau [aut, cre], Alex Axthelm [ctb], Jasper Clarkberg [ctb], Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau@lilly.com>

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Package adespatial updated to version 0.0-9 with previous version 0.0-8 dated 2017-03-24

Title: Multivariate Multiscale Spatial Analysis
Description: Tools for the multiscale spatial analysis of multivariate data. Several methods are based on the use of a spatial weighting matrix and its eigenvector decomposition (Moran's Eigenvectors Maps, MEM).
Author: Stéphane Dray, Guillaume Blanchet, Daniel Borcard, Sylvie Clappe, Guillaume Guenard, Thibaut Jombart, Guillaume Larocque, Pierre Legendre, Naima Madi, Helene H Wagner
Maintainer: Stéphane Dray <stephane.dray@univ-lyon1.fr>

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Package pkggraph updated to version 0.2.2 with previous version 0.2.0 dated 2017-06-02

Title: A Consistent and Intuitive Platform to Explore the Dependencies of Packages on the Comprehensive R Archive Network Like Repositories
Description: Interactively explore various dependencies of a package(s) (on the Comprehensive R Archive Network Like repositories) and perform analysis using tidy philosophy. Most of the functions return a 'tibble' object (enhancement of 'dataframe') which can be used for further analysis. The package offers functions to produce 'network' and 'igraph' dependency graphs. The 'plot' method produces a static plot based on 'ggnetwork' and 'plotd3' function produces an interactive D3 plot based on 'networkD3'.
Author: KS Srikanth [aut, cre], Singh Nikhil [aut]
Maintainer: KS Srikanth <sri.teach@gmail.com>

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Package dad updated to version 3.0.1 with previous version 3.0.0 dated 2017-07-27

Title: Three-Way Data Analysis Through Densities
Description: The three-way data consists of a set of variables measured on several groups of individuals. To each group is associated an estimated probability density function. The package provides tools to manage such data and functional methods (principal component analysis, multidimensional scaling, cluster analysis, discriminant analysis...) for such probability densities.
Author: Rachid Boumaza[aut, cre], Pierre Santagostini [aut], Smail Yousfi [aut], Gilles Hunault [ctb], Julie Bourbeillon [ctb], Besnik Pumo [ctb], Sabine Demotes-Mainard [aut]
Maintainer: Rachid Boumaza <rachid.boumaza@agrocampus-ouest.fr>

Diff between dad versions 3.0.0 dated 2017-07-27 and 3.0.1 dated 2017-09-01

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Package spdep updated to version 0.6-15 with previous version 0.6-13 dated 2017-04-25

Title: Spatial Dependence: Weighting Schemes, Statistics and Models
Description: A collection of functions to create spatial weights matrix objects from polygon contiguities, from point patterns by distance and tessellations, for summarizing these objects, and for permitting their use in spatial data analysis, including regional aggregation by minimum spanning tree; a collection of tests for spatial autocorrelation, including global Moran's I, APLE, Geary's C, Hubert/Mantel general cross product statistic, Empirical Bayes estimates and Assunção/Reis Index, Getis/Ord G and multicoloured join count statistics, local Moran's I and Getis/Ord G, saddlepoint approximations and exact tests for global and local Moran's I; and functions for estimating spatial simultaneous autoregressive (SAR) lag and error models, impact measures for lag models, weighted and unweighted SAR and CAR spatial regression models, semi-parametric and Moran eigenvector spatial filtering, GM SAR error models, and generalized spatial two stage least squares models.
Author: Roger Bivand [cre, aut], Micah Altman [ctb], Luc Anselin [ctb], Renato Assunção [ctb], Olaf Berke [ctb], Andrew Bernat [ctb], Guillaume Blanchet [ctb], Eric Blankmeyer [ctb], Marilia Carvalho [ctb], Bjarke Christensen [ctb], Yongwan Chun [ctb], Carsten Dormann [ctb], Stéphane Dray [ctb], Virgilio Gómez-Rubio [ctb], Martin Gubri [ctb], Rein Halbersma [ctb], Elias Krainski [ctb], Pierre Legendre [ctb], Nicholas Lewin-Koh [ctb], Hongfei Li [ctb], Jielai Ma [ctb], Abhirup Mallik [ctb, trl], Giovanni Millo [ctb], Werner Mueller [ctb], Hisaji Ono [ctb], Pedro Peres-Neto [ctb], Gianfranco Piras [ctb], Markus Reder [ctb], Michael Tiefelsdorf [ctb], Danlin Yu [ctb]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

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Package rvinecopulib updated to version 0.1.0.1.1 with previous version 0.1.0.1.0 dated 2017-08-30

Title: High Performance Algorithms for Vine Copula Modeling
Description: Provides an interface to 'vinecopulib', a C++ library for vine copula modeling based on 'Boost', 'Eigen' and 'NLopt'. The 'rvinecopulib' package implements the core features of the popular 'VineCopula' package, in particular inference algorithms for both vine copula and bivariate copula models. Advantages over 'VineCopula' are a sleeker and more modern API, improved performances, especially in high dimensions, nonparametric and multi-parameter families. The 'rvinecopulib' package includes headers and sources from the 'vinecopulib' C++ library (currently version 0.1.0). Thus users do not need to install 'vinecopulib' itself in order to use 'rvinecopulib'. Since their initial releases, 'vinecopulib' is licensed under the MIT License, and 'rvinecopulib' is licensed under the GNU GPL version 3.
Author: Thomas Nagler [aut, cre], Thibault Vatter [aut]
Maintainer: Thomas Nagler <info@vinecopulib.org>

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Package robotstxt updated to version 0.4.1 with previous version 0.4.0 dated 2017-07-16

Title: A 'robots.txt' Parser and 'Webbot'/'Spider'/'Crawler' Permissions Checker
Description: Provides functions to download and parse 'robots.txt' files. Ultimately the package makes it easy to check if bots (spiders, crawler, scrapers, ...) are allowed to access specific resources on a domain.
Author: Peter Meissner [aut, cre], Oliver Keys [ctb], Rich Fitz John [ctb]
Maintainer: Peter Meissner <retep.meissner@gmail.com>

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Package NUCOMBog updated to version 1.0.4.1 with previous version 1.0.4 dated 2017-05-02

Title: NUtrient Cycling and COMpetition Model Undisturbed Open Bog Ecosystems in a Temperate to Sub-Boreal Climate
Description: Modelling the vegetation, carbon, nitrogen and water dynamics of undisturbed open bog ecosystems in a temperate to sub-boreal climate. The executable of the model can downloaded from <https://github.com/jeroenpullens/NUCOMBog>.
Author: J.W.M. Pullens [aut, cre], R. Silveyra Gonzalez [aut], M. Bagnara [aut], F. Hartig [aut]
Maintainer: J.W.M. Pullens <jeroenpullens@gmail.com>

Diff between NUCOMBog versions 1.0.4 dated 2017-05-02 and 1.0.4.1 dated 2017-09-01

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Package geojsonio updated to version 0.4.2 with previous version 0.4.0 dated 2017-08-20

Title: Convert Data from and to 'GeoJSON' or 'TopoJSON'
Description: Convert data to 'GeoJSON' or 'TopoJSON' from various R classes, including vectors, lists, data frames, shape files, and spatial classes. 'geojsonio' does not aim to replace packages like 'sp', 'rgdal', 'rgeos', but rather aims to be a high level client to simplify conversions of data from and to 'GeoJSON' and 'TopoJSON'.
Author: Scott Chamberlain [aut, cre], Andy Teucher [aut]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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Package AnnotationBustR updated to version 1.1 with previous version 1.0 dated 2017-03-02

Title: Extract Subsequences from GenBank Annotations
Description: Extraction of subsequences into FASTA files from GenBank annotations where gene names may vary among accessions.
Author: Samuel R. Borstein <sam@borstein.com>, Brian O'Meara <bomeara@utk.edu>
Maintainer: Samuel R. Borstein <sam@borstein.com>

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Package agricolae updated to version 1.2-7 with previous version 1.2-6 dated 2017-08-05

Title: Statistical Procedures for Agricultural Research
Description: Original idea was presented in the thesis "A statistical analysis tool for agricultural research" to obtain the degree of Master on science, National Engineering University (UNI), Lima-Peru. Some experimental data for the examples come from the CIP and others research. Agricolae offers extensive functionality on experimental design especially for agricultural and plant breeding experiments, which can also be useful for other purposes. It supports planning of lattice, Alpha, Cyclic, Complete Block, Latin Square, Graeco-Latin Squares, augmented block, factorial, split and strip plot designs. There are also various analysis facilities for experimental data, e.g. treatment comparison procedures and several non-parametric tests comparison, biodiversity indexes and consensus cluster.
Author: Felipe de Mendiburu
Maintainer: Felipe de Mendiburu <fmendiburu@lamolina.edu.pe>

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Package EcoIndR updated to version 1.2 with previous version 1.1 dated 2017-07-03

Title: Ecological Indicators
Description: Calculates several indices, such as of diversity, fluctuation, etc., and they are used to estimate ecological indicators.
Author: Cstor Guisande Gonzlez
Maintainer: Cstor Guisande Gonzlez <castor@uvigo.es>

Diff between EcoIndR versions 1.1 dated 2017-07-03 and 1.2 dated 2017-09-01

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Package VARSEDIG updated to version 1.4 with previous version 1.3 dated 2016-11-05

Title: An Algorithm for Morphometric Characters Selection and Statistical Validation in Morphological Taxonomy
Description: An algorithm (Guisande et al., 2016 <doi:10.11646/zootaxa.4162.3.10>) which identifies the morphometric features that significantly discriminate two taxa and validates the morphological distinctness between them via a Monte-Carlo test, polar coordinates and overlap of the area under the density curve.
Author: Cstor Guisande Gonzlez
Maintainer: Cstor Guisande Gonzlez <castor@uvigo.es>

Diff between VARSEDIG versions 1.3 dated 2016-11-05 and 1.4 dated 2017-09-01

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New package udpipe with initial version 0.1.0
Package: udpipe
Type: Package
Title: Tokenization, Parts of Speech Tagging, Lemmatization and Dependency Parsing with the 'UDPipe' 'NLP' Toolkit
Version: 0.1.0
Maintainer: Jan Wijffels <jwijffels@bnosac.be>
Authors@R: c(person('Jan', 'Wijffels', role = c('aut', 'cre', 'cph'), email = 'jwijffels@bnosac.be'), person('BNOSAC', role = 'cph'), person("Institute of Formal and Applied Linguistics, Faculty of Mathematics and Physics, Charles University in Prague, Czech Republic", role = 'cph'), person('Milan Straka', role = 'cph', email = 'straka@ufal.mff.cuni.cz'), person('Jana Straková', role = 'cph', email = 'strakova@ufal.mff.cuni.cz'))
Description: This natural language processing toolkit provides language-agnostic 'tokenization', 'parts of speech tagging', 'lemmatization' and 'dependency parsing' of raw text. Next to text parsing, the package also allows you to train annotation models based on data of 'treebanks' in 'CoNLL-U' format as provided at <http://universaldependencies.org/format.html>. The techniques are explained in detail in the paper: 'Tokenizing, POS Tagging, Lemmatizing and Parsing UD 2.0 with UDPipe', available at <doi:10.18653/v1/K17-3009>.
License: MPL-2.0
URL: https://github.com/bnosac/udpipe
Encoding: UTF-8
Depends: R (>= 2.10)
Imports: Rcpp (>= 0.11.5), data.table (>= 1.9.6)
LinkingTo: Rcpp
Suggests: knitr
SystemRequirements: C++11
RoxygenNote: 6.0.1.9000
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2017-09-01 15:35:52 UTC; Jan
Author: Jan Wijffels [aut, cre, cph], BNOSAC [cph], Institute of Formal and Applied Linguistics, Faculty of Mathematics and Physics, Charles University in Prague, Czech Republic [cph], Milan Straka [cph], Jana Straková [cph]
Repository: CRAN
Date/Publication: 2017-09-01 17:06:41 UTC

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New package jaod with initial version 0.1.0
Package: jaod
Type: Package
Title: Directory of Open Access Journals Client
Description: Client for the Directory of Open Access Journals ('DOAJ') (<https://doaj.org/>). 'API' documentation at <https://doaj.org/api/v1/docs>. Methods included for working with all 'DOAJ' 'API' routes: fetch article information by identifier, search for articles, fetch journal information by identifier, and search for journals.
Version: 0.1.0
Authors@R: c( person("Scott", "Chamberlain", role = c("aut", "cre"), email = "myrmecocystus+r@gmail.com") )
License: MIT + file LICENSE
URL: https://github.com/ropenscilabs/jaod
BugReports: https://github.com/ropenscilabs/jaod/issues
LazyData: true
Imports: jsonlite (>= 1.5), crul (>= 0.3.8), tibble (>= 1.3.4)
Suggests: roxygen2 (>= 6.0.1), testthat
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-09-01 15:30:24 UTC; sacmac
Author: Scott Chamberlain [aut, cre]
Maintainer: Scott Chamberlain <myrmecocystus+r@gmail.com>
Repository: CRAN
Date/Publication: 2017-09-01 16:59:32 UTC

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Package gdtools updated to version 0.1.6 with previous version 0.1.5 dated 2017-08-08

Title: Utilities for Graphical Rendering
Description: Useful tools for writing vector graphics devices.
Author: David Gohel [aut, cre], Hadley Wickham [aut], Lionel Henry [aut], Jeroen Ooms [aut], Yixuan Qiu [ctb], R Core Team [cph] (Cairo code from X11 device), RStudio [cph]
Maintainer: David Gohel <david.gohel@ardata.fr>

Diff between gdtools versions 0.1.5 dated 2017-08-08 and 0.1.6 dated 2017-09-01

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Package freqdom updated to version 2.0.1 with previous version 1.0.4 dated 2015-09-06

Title: Frequency Domain Based Analysis: Dynamic PCA
Description: Implementation of dynamic principal component analysis (DPCA), simulation of VAR and VMA processes and frequency domain tools. These frequency domain methods for dimensionality reduction of multivariate time series were introduced by David Brillinger in his book Time Series (1974). We follow implementation guidelines as described in Hormann, Kidzinski and Hallin (2016), Dynamic Functional Principal Component <doi:10.1111/rssb.12076>.
Author: Hormann S., Kidzinski L.
Maintainer: Kidzinski L. <lukasz.kidzinski@stanford.edu>

Diff between freqdom versions 1.0.4 dated 2015-09-06 and 2.0.1 dated 2017-09-01

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Package frailtypack updated to version 2.12.4 with previous version 2.12.3 dated 2017-08-01

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

Diff between frailtypack versions 2.12.3 dated 2017-08-01 and 2.12.4 dated 2017-09-01

 DESCRIPTION        |   10 
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 5 files changed, 2544 insertions(+), 2546 deletions(-)

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New package CytobankAPIstats with initial version 1.0
Package: CytobankAPIstats
Type: Package
Title: Computes Signaling and Population Stats for Cytometry Data on Cytobank using 'CytobankAPI'
Version: 1.0
Date: 2017-09-01
Author: Allison Throm
Maintainer: Allison Throm <throm@email.wustl.edu>
Description: Tools to process cytometry data from Cytobank into easily usable form for analysis of populations, markers, and signaling using the 'CytobankAPI' package. Learn more about Cytobank at <https://www.cytobank.org>. For more information about types of cytometry data that can be analyzed, please see: Bendall, S. C., Simonds, E. F., Qiu, P., Amir, E. D., Krutzik, P. O., Finck, R.,... Nolan, G. P. (2011) <doi:10.1126/science.1198704> and Adan, A., Alizada, G., Kiraz, Y., Baran, Y., Nalbant, A. (2017). <doi:10.3109/07388551.2015.1128876>.
License: Artistic-2.0
Imports: CytobankAPI
Suggests: httr, methods, curl, stats, jsonlite
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-09-01 15:14:19 UTC; Allison
Repository: CRAN
Date/Publication: 2017-09-01 17:00:37 UTC

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New package BayLum with initial version 0.1.0
Package: BayLum
Type: Package
Title: Chronological Bayesian Models Integrating Optically Stimulated Luminescence and Radiocarbon Age Dating
Description: Bayesian analysis of luminescence data and 14C age estimate. Bayesian models are based on the following publications: Combes, B. & Philippe, A. (2017) <doi: 10.1016/j.quageo.2017.02.003> and Combes et al (2015) <doi: 10.1016/j.quageo.2015.04.001>. This includes, amongst others, data import, export, application of age models and palaeodose model.
Date: 2017-08-22
Version: 0.1.0
Author: Claire Christophe [aut, cre], Anne Philippe [aut], Sebastian Kreutzer [aut], Guillaume Guerin [aut]
Maintainer: Anne Philippe <anne.philippe@univ-nantes.fr>
Depends: R(>= 3.4.0), utils, coda
Imports: stats, graphics, grDevices, methods, hexbin, rjags (>= 4-6), Luminescence (>= 0.7.4), ArchaeoPhases
License: GPL-3
LazyData: true
Suggests: R.rsp
VignetteBuilder: R.rsp
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-09-01 16:03:53 UTC; philippe
Repository: CRAN
Date/Publication: 2017-09-01 17:14:08 UTC

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Package BANOVA updated to version 0.9.1 with previous version 0.9 dated 2017-07-08

Title: Hierarchical Bayesian ANOVA Models
Description: It covers several Bayesian Analysis of Variance (BANOVA) models used in analysis of experimental designs in which both within- and between- subjects factors are manipulated. They can be applied to data that are common in the behavioral and social sciences. The package includes: Hierarchical Bayes ANOVA models with normal response, t response, Binomial(Bernoulli) response, Poisson response, ordered multinomial response and multinomial response variables. All models accommodate unobserved heterogeneity by including a normal distribution of the parameters across individuals. Outputs of the package include tables of sums of squares, effect sizes and p-values, and tables of predictions, which are easily interpretable for behavioral and social researchers. The floodlight analysis and mediation analysis based on these models are also provided. BANOVA uses Stan and JAGS as the computational platform.
Author: Chen Dong, Michel Wedel
Maintainer: Chen Dong <cdong@math.umd.edu>

Diff between BANOVA versions 0.9 dated 2017-07-08 and 0.9.1 dated 2017-09-01

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Package ggmuller updated to version 0.2.1 with previous version 0.2.0 dated 2017-09-01

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]
Maintainer: Robert Noble <robjohnnoble@gmail.com>

Diff between ggmuller versions 0.2.0 dated 2017-09-01 and 0.2.1 dated 2017-09-01

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Package FactoClass updated to version 1.1.6 with previous version 1.1.4 dated 2017-08-09

Title: Combination of Factorial Methods and Cluster Analysis
Description: Some functions of 'ade4' and 'stats' are combined in order to obtain a partition of the rows of a data table, with columns representing variables of scales: quantitative, qualitative or frequency. First, a principal axes method is performed and then, a combination of Ward agglomerative hierarchical classification and K-means is performed, using some of the first coordinates obtained from the previous principal axes method. The function 'kmeansW', a modification of 'kmeans', programmed in C++, is included, in order to permit to have different weights of the elements to be clustered. Some complementary functions and datasets are included. See, for example: Lebart, L. and Piron, M. and Morineau, A. (2006). Statitique exploratoire multidimensionnelle, Dunod, Paris.
Author: Campo Elias Pardo <cepardot@unal.edu.co>, Pedro Cesar del Campo <pcdelcampon@unal.edu.co> and Camilo Jose Torres <cjtorresj@unal.edu.co>, with the contributions from. Ivan Diaz <ildiazm@unal.edu.co>, Mauricio Sadinle <msadinleg@unal.edu.co>.
Maintainer: Campo Elias Pardo <cepardot@unal.edu.co>

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Package anomalyDetection updated to version 0.2.2 with previous version 0.1.2 dated 2017-07-08

Title: Implementation of Augmented Network Log Anomaly Detection Procedures
Description: Implements procedures to aid in detecting network log anomalies. By combining various multivariate analytic approaches relevant to network anomaly detection, it provides cyber analysts efficient means to detect suspected anomalies requiring further evaluation.
Author: Andrew McCarthy [aut, cre], Brandon Greenwell [aut], Bradley Boehmke [aut], Robert Gutierrez [aut], Kenneth Bauer [ctb], Trevor Bihl [ctb], Cade Saie [ctb]
Maintainer: Andrew McCarthy <andrew.mccarthy@theperducogroup.com>

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Package tidyr updated to version 0.7.1 with previous version 0.7.0 dated 2017-08-16

Title: Easily Tidy Data with 'spread()' and 'gather()' Functions
Description: An evolution of 'reshape2'. It's designed specifically for data tidying (not general reshaping or aggregating) and works well with 'dplyr' data pipelines.
Author: Hadley Wickham [aut, cre], Lionel Henry [aut], RStudio [cph]
Maintainer: Hadley Wickham <hadley@rstudio.com>

Diff between tidyr versions 0.7.0 dated 2017-08-16 and 0.7.1 dated 2017-09-01

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More information about tidyr at CRAN
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Package nprobust updated to version 0.1.0 with previous version 0.0.1 dated 2016-11-07

Title: Nonparametric Robust Estimation and Inference Methods using Local Polynomial Regression and Kernel Density Estimation
Description: Tools for data-driven statistical analysis using local polynomial regression and kernel density methods.
Author: Sebastian Calonico <scalonico@bus.miami.edu>, Matias D. Cattaneo <cattaneo@umich.edu>, Max H. Farrell <max.farrell@chicagobooth.edu>
Maintainer: Sebastian Calonico <scalonico@bus.miami.edu>

Diff between nprobust versions 0.0.1 dated 2016-11-07 and 0.1.0 dated 2017-09-01

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New package ggmuller with initial version 0.2.0
Package: ggmuller
Title: Create Muller Plots of Evolutionary Dynamics
Version: 0.2.1
Authors@R: person("Robert", "Noble", email = "robjohnnoble@gmail.com", role = c("aut", "cre"))
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).
Depends: R (>= 3.2.0)
Imports: dplyr, ggplot2, ape
Suggests: RColorBrewer, knitr, rmarkdown
VignetteBuilder: knitr
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-09-01 15:38:09 UTC; rnoble
Author: Robert Noble [aut, cre]
Maintainer: Robert Noble <robjohnnoble@gmail.com>
Repository: CRAN
Date/Publication: 2017-09-01 15:55:41 UTC

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New package DelayedEffect.Design with initial version 0.0.4
Package: DelayedEffect.Design
Title: Sample Size and Power Calculations using the APPLE and SEPPLE Methods
Version: 0.0.4
Date: 2017-09-01
Author: Zhenzhen Xu <Zhenzhen.Xu@fda.hhs.gov> , Boguang Zhen<Boguang.Zhen@fda.hhs.gov>, Yongsoek Park <yongpark@pitt.edu> and Bin Zhu <bin.zhu@nih.gov>
Description: Provides sample size and power calculations when the treatment time-lag effect is present and the lag duration is homogeneous across the individual subject. The methods used are described in Xu, Z., Zhen, B., Park, Y., & Zhu, B. (2017) <doi:10.1002/sim.7157>.
Maintainer: Zhenzhen Xu <Zhenzhen.Xu@fda.hhs.gov>
Imports: msm, survival
License: GPL-2
NeedsCompilation: no
Packaged: 2017-09-01 14:15:16 UTC; wheelerwi
Repository: CRAN
Date/Publication: 2017-09-01 15:07:35 UTC

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Package arules updated to version 1.5-3 with previous version 1.5-2 dated 2017-03-12

Title: Mining Association Rules and Frequent Itemsets
Description: Provides the infrastructure for representing, manipulating and analyzing transaction data and patterns (frequent itemsets and association rules). Also provides interfaces to C implementations of the association mining algorithms Apriori and Eclat by C. Borgelt.
Author: Michael Hahsler [aut, cre, cph], Christian Buchta [aut, cph], Bettina Gruen [aut, cph], Kurt Hornik [aut, cph], Ian Johnson [ctb, cph], Christian Borgelt [ctb, cph]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

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Package nproc updated to version 2.0.8 with previous version 2.0.6 dated 2017-03-04

Title: Neyman-Pearson (NP) Classification Algorithms and NP Receiver Operating Characteristic (NP-ROC) Curves
Description: In many binary classification applications, such as disease diagnosis and spam detection, practitioners commonly face the need to limit type I error (i.e., the conditional probability of misclassifying a class 0 observation as class 1) so that it remains below a desired threshold. To address this need, the Neyman-Pearson (NP) classification paradigm is a natural choice; it minimizes type II error (i.e., the conditional probability of misclassifying a class 1 observation as class 0) while enforcing an upper bound, alpha, on the type I error. Although the NP paradigm has a century-long history in hypothesis testing, it has not been well recognized and implemented in classification schemes. Common practices that directly limit the empirical type I error to no more than alpha do not satisfy the type I error control objective because the resulting classifiers are still likely to have type I errors much larger than alpha. As a result, the NP paradigm has not been properly implemented for many classification scenarios in practice. In this work, we develop the first umbrella algorithm that implements the NP paradigm for all scoring-type classification methods, including popular methods such as logistic regression, support vector machines and random forests. Powered by this umbrella algorithm, we propose a novel graphical tool for NP classification methods: NP receiver operating characteristic (NP-ROC) bands, motivated by the popular receiver operating characteristic (ROC) curves. NP-ROC bands will help choose in a data adaptive way and compare different NP classifiers. The paper is available at <arXiv:1608.03109>.
Author: Yang Feng, Jingyi Jessica Li and Xin Tong
Maintainer: Yang Feng <yang.feng@columbia.edu>

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Package LGEWIS updated to version 1.1 with previous version 0.2 dated 2015-10-14

Title: Tests for Genetic Association/Gene-Environment Interaction in Longitudinal Studies
Description: Functions for genome-wide association studies (GWAS)/gene-environment-wide interaction studies (GEWIS) with longitudinal outcomes and exposures. He et al. (2017) "Set-Based Tests for Gene-Environment Interaction in Longitudinal Studies" and He et al. (2017) "Rare-variant association tests in longitudinal studies, with an application to the Multi-Ethnic Study of Atherosclerosis (MESA)".
Author: Zihuai He, Seunggeun Lee, Bhramar Mukherjee, Min Zhang
Maintainer: Zihuai He <zihuai@umich.edu>

Diff between LGEWIS versions 0.2 dated 2015-10-14 and 1.1 dated 2017-09-01

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Package ChemometricsWithR updated to version 0.1.11 with previous version 0.1.10 dated 2017-08-21

Title: Chemometrics with R - Multivariate Data Analysis in the Natural Sciences and Life Sciences
Description: Functions and scripts used in the book "Chemometrics with R - Multivariate Data Analysis in the Natural Sciences and Life Sciences" by Ron Wehrens, Springer (2011). Data used in the package are available from github.
Author: Ron Wehrens
Maintainer: Ron Wehrens <ron.wehrens@gmail.com>

Diff between ChemometricsWithR versions 0.1.10 dated 2017-08-21 and 0.1.11 dated 2017-09-01

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Package ChemometricsWithRData (with last version 0.1.3) was removed from CRAN

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

2012-10-12 0.1.3
2012-01-04 0.1.2
2011-02-17 0.1.1

Permanent link
Package wccsom (with last version 1.2.11) was removed from CRAN

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

2015-09-14 1.2.11

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New package StakeholderAnalysis with initial version 1.0
Package: StakeholderAnalysis
Version: 1.0
Date: 2017-08-31
Title: Measuring Stakeholder Influence
Authors@R: c(person("Anna", "Zamojska", role="aut", email="anna.zamojska@ug.edu.pl"), person("Piotr", "Zientara", role="aut", email="zientara@fest.pl"), person("Sebastian", "Susmarski", role="aut", email="sebastian.susmarski@ug.edu.pl"), person("Lech", "Kujawski", role=c("aut", "cre"), email = "lech.kujawski@ug.edu.pl"))
Author: Anna Zamojska [aut], Piotr Zientara [aut], Sebastian Susmarski [aut], Lech Kujawski [aut, cre]
Maintainer: Lech Kujawski <lech.kujawski@ug.edu.pl>
Depends: R (>= 3.2.3)
Description: Proposes an original instrument for measuring stakeholder influence on the development of an infrastructure project that is carried through by a municipality. Hester, P.T., & Adams, K.M. (2013) <doi:10.1016/j.procs.2013.09.282> Hester, P.T., Bradley, J.M., MacGregor K.A. (2012) <doi:10.1504/IJSSE.2012.052687>.
License: GPL (>= 2)
URL: https://www.r-project.org
NeedsCompilation: no
Packaged: 2017-09-01 11:46:51 UTC; Marcin
Repository: CRAN
Date/Publication: 2017-09-01 12:09:52 UTC

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New package JuliaCall with initial version 0.7.3
Package: JuliaCall
Type: Package
Title: Seamless Integration Between R and 'Julia'
Version: 0.7.3
Authors@R: person("Changcheng Li", email = "cxl508@psu.edu", role = c("aut", "cre"))
Description: Provides an R interface to 'Julia', which is a high-level, high-performance dynamic programming language for numerical computing, see <https://julialang.org/> for more information. It provides a high-level interface as well as a low-level interface. Using the high level interface, you could call any 'Julia' function just like any R function with automatic type conversion. Using the low level interface, you could deal with C-level SEXP directly while enjoying the convenience of using a high-level programming language like 'Julia'.
Depends: R (>= 3.2.0)
License: MIT + file LICENSE
URL: https://github.com/Non-Contradiction/JuliaCall
BugReports: https://github.com/Non-Contradiction/JuliaCall/issues
Encoding: UTF-8
LazyData: true
Imports: inline, utils
RoxygenNote: 6.0.1
SystemRequirements: Julia >= 0.5.0, RCall.jl
Suggests: testthat
NeedsCompilation: no
Packaged: 2017-08-31 01:54:35 UTC; lichangcheng
Author: Changcheng Li [aut, cre]
Maintainer: Changcheng Li <cxl508@psu.edu>
Repository: CRAN
Date/Publication: 2017-09-01 11:53:09 UTC

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Package edrGraphicalTools updated to version 2.2 with previous version 2.1 dated 2013-11-09

Title: Provides Tools for Dimension Reduction Methods
Description: Reduction methods through slice inverse regression approaches. It mainly designed for illustrating the articles "A graphical tool for selecting the number of slices and the dimension of the model in SIR and SAVE approaches" (Liquet, B., Saracco, J. (2012) <doi:10.1007/s00180-011-0241-9>) and "Comparison of sliced inverse regression approaches for underdetermined cases”.
Author: Raphaël Coudret, Benoît Liquet and Jérôme Saracco
Maintainer: Benoit Liquet <benoit.liquet@univ-pau.fr>

Diff between edrGraphicalTools versions 2.1 dated 2013-11-09 and 2.2 dated 2017-09-01

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New package Diderot with initial version 0.1
Package: Diderot
Type: Package
Title: Bibliographic Network Analysis
Version: 0.1
Date: 2017-08-04
Author: Christian Vincenot
Maintainer: Christian Vincenot <christian@vincenot.biz>
Depends: R (> 3.0.1), foreach, graphics, igraph
Imports: stringi, RCurl, splitstackshape, data.table, utils, stats, parallel, doParallel
Description: Enables the user to build a citation network/graph from bibliographic data and, based on modularity and heterocitation metrics, assess the degree of awareness/cross-fertilization between two corpora/communities. This toolset is optimized for Scopus data.
License: GPL (>= 2)
Packaged: 2017-08-31 12:21:08 UTC; kashim
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2017-09-01 11:53:07 UTC

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Package copula updated to version 0.999-18 with previous version 0.999-17 dated 2017-06-18

Title: Multivariate Dependence with Copulas
Description: Classes (S4) of commonly used elliptical, Archimedean, extreme-value and other copula families, as well as their rotations, mixtures and asymmetrizations. Nested Archimedean copulas, related tools and special functions. Methods for density, distribution, random number generation, bivariate dependence measures, Rosenblatt transform, Kendall distribution function, perspective and contour plots. Fitting of copula models with potentially partly fixed parameters, including standard errors. Serial independence tests, copula specification tests (independence, exchangeability, radial symmetry, extreme-value dependence, goodness-of-fit) and model selection based on cross-validation. Empirical copula, smoothed versions, and non-parametric estimators of the Pickands dependence function.
Author: Marius Hofert <marius.hofert@uwaterloo.ca>, Ivan Kojadinovic <ivan.kojadinovic@univ-pau.fr>, Martin Maechler <maechler@stat.math.ethz.ch>, and Jun Yan <jun.yan@uconn.edu>
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

Diff between copula versions 0.999-17 dated 2017-06-18 and 0.999-18 dated 2017-09-01

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New package afpt with initial version 1.0.0
Package: afpt
Title: Tools for Modelling of Animal Flight Performance
Version: 1.0.0
Date: 2017-08-25
Encoding: UTF-8
Authors@R: c( person("Marco", "KleinHeerenbrink", email = "Marco.KleinHeerenbrink@zoo.ox.ac.uk", role = c("aut","cre")), person("Anders", "Hedenström", role = c("fnd")) )
Author: Marco KleinHeerenbrink [aut, cre], Anders Hedenström [fnd]
Description: Allows estimation and modelling of flight costs in animal (vertebrate) flight, implementing the aerodynamic power model described in Klein Heerenbrink et al. (2015) <doi:10.1098/rspa.2014.0952>. Taking inspiration from the program 'Flight', developed by Colin Pennycuick (Pennycuick (2008) "Modelling the flying bird". Amsterdam: Elsevier. ISBN 0-19-857721-4), flight performance is estimated based on basic morphological measurements such as body mass, wingspan and wing area. 'afpt' can be used to make predictions on how animals should adjust their flight behaviour and wingbeat kinematics to varying flight conditions.
URL: https://github.com/MarcoKlH/afpt-r/
BugReports: https://github.com/MarcoKlH/afpt-r/issues
Depends: R(>= 3.0.0)
Imports: graphics, stats
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
License: GPL (>= 3)
NeedsCompilation: no
Packaged: 2017-09-01 09:35:14 UTC; Marco
Maintainer: Marco KleinHeerenbrink <Marco.KleinHeerenbrink@zoo.ox.ac.uk>
Repository: CRAN
Date/Publication: 2017-09-01 11:19:40 UTC

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Package wrapr updated to version 0.4.2 with previous version 0.4.1 dated 2017-08-24

Title: Wrap R Functions for Debugging and Parametric Programming
Description: Powerful tools for writing and debugging R code. Provides: 'let()' which converts non-standard evaluation interfaces to parametric standard evaluation interface, 'DebugFnW()' to capture function context on error for debugging, and ':=' named map builder, and lambda-abstraction.
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

Diff between wrapr versions 0.4.1 dated 2017-08-24 and 0.4.2 dated 2017-09-01

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Package memapp updated to version 2.4 with previous version 2.3 dated 2017-07-08

Title: The Moving Epidemic Method Web Application
Description: Web application created in the Shiny framework for the 'mem' R package.
Author: Jose E. Lozano [aut, cre]
Maintainer: Jose E. Lozano <lozalojo@gmail.com>

Diff between memapp versions 2.3 dated 2017-07-08 and 2.4 dated 2017-09-01

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Package rDotNet updated to version 0.9.1 with previous version 0.9.0 dated 2017-08-30

Title: Low-Level Interface to the '.NET' Virtual Machine Along the Lines of the R C/Call API
Description: Low-level interface to '.NET' virtual machine along the lines of the R C .call interface. Can create '.NET' object, call methods, get or set properties, call static functions, etc.
Author: Jonathan Shore <jonathan.shore@gmail.com>
Maintainer: Jonathan Shore <jonathan.shore@gmail.com>

Diff between rDotNet versions 0.9.0 dated 2017-08-30 and 0.9.1 dated 2017-09-01

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Package protolite updated to version 1.7 with previous version 1.6 dated 2017-03-16

Title: Fast and Simple Object Serialization to Protocol Buffers
Description: Optimized C++ implementations for reading and writing protocol-buffers. Currently supports 'rexp.proto' for serializing R objects and 'geobuf.proto' for geojson data. This lightweight package is complementary to the much larger 'RProtoBuf' package which provides a full featured toolkit for working with protocol-buffers in R.
Author: Jeroen Ooms
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

Diff between protolite versions 1.6 dated 2017-03-16 and 1.7 dated 2017-09-01

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Package pdftools updated to version 1.4 with previous version 1.3 dated 2017-06-12

Title: Text Extraction, Rendering and Converting of PDF Documents
Description: Utilities based on 'libpoppler' for extracting text, fonts, attachments and metadata from a PDF file. Also supports high quality rendering of PDF documents info PNG, JPEG, TIFF format, or into raw bitmap vectors for further processing in R.
Author: Jeroen Ooms
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

Diff between pdftools versions 1.3 dated 2017-06-12 and 1.4 dated 2017-09-01

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Package mem updated to version 2.10 with previous version 2.9 dated 2017-07-08

Title: The Moving Epidemic Method R Package
Description: Tools to model influenza epidemics and to monitor influenza surveillance.
Author: Jose E. Lozano [aut, cre]
Maintainer: Jose E. Lozano <lozalojo@gmail.com>

Diff between mem versions 2.9 dated 2017-07-08 and 2.10 dated 2017-09-01

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Package MALDIquant updated to version 1.16.4 with previous version 1.16.2 dated 2017-04-04

Title: Quantitative Analysis of Mass Spectrometry Data
Description: A complete analysis pipeline for matrix-assisted laser desorption/ionization-time-of-flight (MALDI-TOF) and other two-dimensional mass spectrometry data. In addition to commonly used plotting and processing methods it includes distinctive features, namely baseline subtraction methods such as morphological filters (TopHat) or the statistics-sensitive non-linear iterative peak-clipping algorithm (SNIP), peak alignment using warping functions, handling of replicated measurements as well as allowing spectra with different resolutions.
Author: Sebastian Gibb [aut, cre], Korbinian Strimmer [ths]
Maintainer: Sebastian Gibb <mail@sebastiangibb.de>

Diff between MALDIquant versions 1.16.2 dated 2017-04-04 and 1.16.4 dated 2017-09-01

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Package fastLink updated to version 0.2.0 with previous version 0.1.1 dated 2017-07-11

Title: Fast Probabilistic Record Linkage with Missing Data
Description: Implements a Fellegi-Sunter probabilistic record linkage model that allows for missing data and the inclusion of auxiliary information. This includes functionalities to conduct a merge of two datasets under the Fellegi-Sunter model using the Expectation-Maximization algorithm. In addition, tools for preparing, adjusting, and summarizing data merges are included. The package implements methods described in Enamorado, Fifield, and Imai (2017) ''Using a Probabilistic Model to Assist Merging of Large-scale Administrative Records'', available at <http://imai.princeton.edu/research/linkage.html>.
Author: Ted Enamorado [aut, cre], Ben Fifield [aut], Kosuke Imai [aut]
Maintainer: Ted Enamorado <fastlinkr@gmail.com>

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 fastLink-0.2.0/fastLink/R/matchesLink.R         |    1 
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 fastLink-0.2.0/fastLink/man/fastLink-package.Rd |    4 +-
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 25 files changed, 143 insertions(+), 58 deletions(-)

More information about fastLink at CRAN
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Package commonmark updated to version 1.4 with previous version 1.2 dated 2017-03-01

Title: High Performance CommonMark and Github Markdown Rendering in R
Description: The CommonMark specification defines a rationalized version of markdown syntax. This package uses the 'cmark' reference implementation for converting markdown text into various formats including html, latex and groff man. In addition it exposes the markdown parse tree in xml format. The latest version of this package also adds support for Github extensions including tables, autolinks and strikethrough text.
Author: Jeroen Ooms [aut, cre], John MacFarlane [cph] (Author of cmark)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

Diff between commonmark versions 1.2 dated 2017-03-01 and 1.4 dated 2017-09-01

 DESCRIPTION                             |   12 
 MD5                                     |   89 
 NAMESPACE                               |    1 
 NEWS                                    |    5 
 R/extensions.R                          |    2 
 R/markdown.R                            |   13 
 man/commonmark.Rd                       |    7 
 man/extensions.Rd                       |    2 
 src/Makevars                            |   20 
 src/cmark/arena.c                       |   31 
 src/cmark/blocks.c                      |   21 
 src/cmark/buffer.c                      |    6 
 src/cmark/cmark.c                       |    8 
 src/cmark/cmark.h                       |   40 
 src/cmark/cmark_export.h                |    2 
 src/cmark/cmark_extension_api.h         |   28 
 src/cmark/cmark_version.h               |    5 
 src/cmark/commonmark.c                  |   14 
 src/cmark/html.c                        |   18 
 src/cmark/inlines.c                     |  325 
 src/cmark/inlines.h                     |    4 
 src/cmark/iterator.c                    |    1 
 src/cmark/latex.c                       |   32 
 src/cmark/main.c                        |   25 
 src/cmark/node.c                        |    2 
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 src/cmark/references.c                  |  108 
 src/cmark/references.h                  |    8 
 src/cmark/render.c                      |   15 
 src/cmark/scanners.c                    |18222 +++++++++++++++++++-------------
 src/cmark/scanners.h                    |    2 
 src/cmark/syntax_extension.c            |   14 
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 src/cmark/utf8.h                        |   11 
 src/extensions.c                        |   10 
 src/extensions/autolink.c               |   25 
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 src/extensions/ext_scanners.c           |  565 
 src/extensions/ext_scanners.h           |    6 
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 src/extensions/tagfilter.c              |    3 
 src/wrapper.c                           |    7 
 46 files changed, 12460 insertions(+), 7669 deletions(-)

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New package alR with initial version 2.2.0
Package: alR
Version: 2.2.0
Date: 2017-08-31
Title: Arc Lengths of Statistical Functions
Description: Estimation, regression and classification using arc lengths.
Depends: R (>= 3.2)
Imports: alabama, pbdMPI, DEoptimR, Rcpp, stats
LinkingTo: Rcpp, RcppArmadillo
Author: M Theodor Loots <theodor.loots@up.ac.za>
Maintainer: M Theodor Loots <theodor.loots@up.ac.za>
License: GPL (>= 2)
URL: https://github.com/mtloots/alR
RoxygenNote: 6.0.1
Suggests: testthat
LazyData: true
NeedsCompilation: yes
Packaged: 2017-08-31 10:35:00 UTC; User
Repository: CRAN
Date/Publication: 2017-09-01 09:22:14 UTC

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Package stockPortfolio (with last version 1.2) was removed from CRAN

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

2012-03-14 1.2
2010-04-15 1.1
2009-11-01 1.0

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Package wru updated to version 0.1-7 with previous version 0.1-6 dated 2017-08-17

Title: Who are You? Bayesian Prediction of Racial Category Using Surname and Geolocation
Description: Predicts individual race/ethnicity using surname, geolocation, and other attributes, such as gender and age. The method utilizes the Bayes' Rule to compute the posterior probability of each racial category for any given individual. The package implements methods described in Imai and Khanna (2015) "Improving Ecological Inference by Predicting Individual Ethnicity from Voter Registration Records" <DOI:10.1093/pan/mpw001>.
Author: Kabir Khanna [aut, cre], Kosuke Imai [aut, cre], Hubert Jin [ctb]
Maintainer: Kabir Khanna <kkhanna@princeton.edu>

Diff between wru versions 0.1-6 dated 2017-08-17 and 0.1-7 dated 2017-09-01

 ChangeLog   |    1 +
 DESCRIPTION |   10 +++++-----
 MD5         |    6 ++++--
 tests       |only
 4 files changed, 10 insertions(+), 7 deletions(-)

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Package vfcp updated to version 1.2.0 with previous version 1.1.0 dated 2017-05-30

Title: Computation of v Values for U and Copula C(U, v)
Description: Computation the value of one of two uniformly distributed marginals if the copula probability value is known and the value of the second marginal is also known. Computation and plotting corresponding cumulative distribution function or survival function. The numerical definition of a common area limited by lines of the cumulative distribution function and survival function. Approximate quantification of the probability of this area.
Author: Josef Brejcha
Maintainer: Josef Brejcha <brchjo@gmail.com>

Diff between vfcp versions 1.1.0 dated 2017-05-30 and 1.2.0 dated 2017-09-01

 DESCRIPTION         |   14 +++++++++-----
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 NAMESPACE           |   28 ++++++++++++++++++++++++++++
 NEWS                |   20 ++++++++++++++++++++
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 27 files changed, 187 insertions(+), 64 deletions(-)

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Package sptemExp updated to version 0.1.1 with previous version 0.1.0 dated 2017-08-29

Title: Constrained Spatiotemporal Mixed Models for Exposure Estimation
Description: The approach of constrained spatiotemporal mixed models is to make reliable estimation of air pollutant concentrations at high spatiotemporal resolution (Li, L., Lurmann, F., Habre, R., Urman, R., Rappaport, E., Ritz, B., Chen, J., Gilliland, F., Wu, J., (2017) <doi:10.1021/acs.est.7b01864>). This package is an extensive tool for this modeling approach with support of block Kriging (Goovaerts, P. (1997) <http://www.gbv.de/dms/goettingen/229148123.pdf>) and uses the PM2.5 modeling as examples. It provides the following functionality: (1) Extraction of covariates from the satellite images such as GeoTiff and NC4 raster; (2) Generation of temporal basis functions to simulate the seasonal trends in the study regions; (3) Generation of the regional monthly or yearly means of air pollutant concentration; (4) Generation of Thiessen polygons and spatial effect modeling; (5) Ensemble modeling for spatiotemporal mixed models, supporting multi-core parallel computing; (6) Integrated predictions with or without weights of the model's performance, supporting multi-core parallel computing; (7) Constrained optimization to interpolate the missing values; (8) Generation of the grid surfaces of air pollutant concentration estimates at high resolution; (9) Block Kriging for regional mean estimation at multiple scales.
Author: Lianfa Li,
Maintainer: Lianfa Li <lspatial@gmail.com>

Diff between sptemExp versions 0.1.0 dated 2017-08-29 and 0.1.1 dated 2017-09-01

 DESCRIPTION         |    6 +++---
 MD5                 |   12 ++++++------
 R/genTBasisFun.R    |    1 -
 R/parATimePredict.R |    2 --
 R/weiA2Ens.R        |    4 +++-
 man/noweiAvg.Rd     |    1 -
 src/noweiAvg.cpp    |    6 ++++--
 7 files changed, 16 insertions(+), 16 deletions(-)

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New package Inflation with initial version 0.1.0
Package: Inflation
Type: Package
Title: Core Inflation
Version: 0.1.0
Date: 2017-08-29
Authors@R: c(person("Pedro", "Costa Ferreira", email = "pedro.guilherme@fgv.br", role = c("aut", "cre")), person("Daiane", "Marcolino", email = "daiane.marcolino@fgv.br", role = "aut"), person("Talitha", "Speranza", email = "talitha.speranza@fgv.br", role = "aut"), person("Fernando", "Teixeira", email = "fernando.teixeira@fgv.br", role = "aut"))
Maintainer: Pedro Costa Ferreira <pedro.guilherme@fgv.br>
Description: Provides access to core inflation functions. Four different core inflation functions are provided. The well known trimmed means, exclusion and double weighing methods, alongside the new Triple Filter method introduced in Ferreira et al. (2016) <https://goo.gl/UYLhcj>.
Depends: R (>= 3.3.1)
License: BSD_3_clause + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Imports: seasonal
Author: Pedro Costa Ferreira [aut, cre], Daiane Marcolino [aut], Talitha Speranza [aut], Fernando Teixeira [aut]
NeedsCompilation: no
BugReports: https://github.com/fernote7/Inflation/issues
URL: https://github.com/fernote7/Inflation
Suggests: covr
Packaged: 2017-08-31 18:06:09 UTC; fernando.teixeira
Repository: CRAN
Date/Publication: 2017-09-01 08:31:10 UTC

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New package EAlasso with initial version 0.1.0
Package: EAlasso
Type: Package
Title: Simulation Based Inference of Lasso Estimator
Version: 0.1.0
Authors@R: person("Seunghyun", "Min", email = "seunghyun@ucla.edu", role = c("aut", "cre"))
Maintainer: Seunghyun Min <seunghyun@ucla.edu>
Description: Simulation based inference of lasso estimator. It provides several methods to sample lasso estimator: (a) Gaussian and wild multiplier bootstrap for lasso, group lasso, scaled lasso and scaled group lasso, (b) importance sampler for lasso, group lasso, scaled lasso and scaled group lasso, (c) Markov chain Monte Carlo sampler for lasso, (d) post-selection inference for lasso. See Zhou, Q. and Min, S. (2017) <doi:10.1214/17-EJS1309> for details.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.3.1)
Imports: stats, graphics, gglasso, msm, mvtnorm, parallel, limSolve, MASS, hdi
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-09-01 00:20:13 UTC; seunghyunmin
Author: Seunghyun Min [aut, cre]
Repository: CRAN
Date/Publication: 2017-09-01 08:24:44 UTC

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New package cr17 with initial version 0.1.0
Package: cr17
Type: Package
Title: Testing Differences Between Competing Risks Models and Their Visualisations
Version: 0.1.0
Authors@R: c( person("Magda", "Młynarczyk", email = "magmlynarczyk@gmail.com", role = c("aut", "cre")), person("Przemyslaw", "Biecek", email = "przemyslaw.biecek@gmail.com", role = c("aut","ths")) )
Description: Tool for analyzing competing risks models. The main point of interest is testing differences between groups (as described in R.J Gray (1988) <doi:10.1214/aos/1176350951> and J.P. Fine, R.J Gray (1999) <doi:10.2307/2670170>) and visualizations of survival and cumulative incidence curves.
License: GPL
Encoding: UTF-8
LazyData: true
Depends: ggplot2 (>= 2.2.1), survival (>= 2.41-3), cmprsk (>= 2.2-7), gridExtra (>= 2.2.1), R (>= 3.3.2)
Imports: dplyr (>= 0.5.0), scales (>= 0.4.1), grid (>= 3.3.0), gtable (>= 0.2.0)
RoxygenNote: 6.0.1
VignetteBuilder: knitr
Suggests: knitr, rmarkdown
URL: https://github.com/geneticsMiNIng/cr17
NeedsCompilation: no
Packaged: 2017-08-31 18:09:24 UTC; Magda
Author: Magda Młynarczyk [aut, cre], Przemyslaw Biecek [aut, ths]
Maintainer: Magda Młynarczyk <magmlynarczyk@gmail.com>
Repository: CRAN
Date/Publication: 2017-09-01 08:27:39 UTC

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