Thu, 14 Sep 2017

Package DPpackage updated to version 1.1-7 with previous version 1.1-6 dated 2012-09-14

Title: Bayesian Nonparametric Modeling in R
Description: Functions to perform inference via simulation from the posterior distributions for Bayesian nonparametric and semiparametric models. Although the name of the package was motivated by the Dirichlet Process prior, the package considers and will consider other priors on functional spaces. So far, DPpackage includes models considering Dirichlet Processes, Dependent Dirichlet Processes, Dependent Poisson- Dirichlet Processes, Hierarchical Dirichlet Processes, Polya Trees, Linear Dependent Tailfree Processes, Mixtures of Triangular distributions, Random Bernstein polynomials priors and Dependent Bernstein Polynomials. The package also includes models considering Penalized B-Splines. Includes semiparametric models for marginal and conditional density estimation, ROC curve analysis, interval censored data, binary regression models, generalized linear mixed models, IRT type models, and generalized additive models. Also contains functions to compute Pseudo-Bayes factors for model comparison, and to elicitate the precision parameter of the Dirichlet Process. To maximize computational efficiency, the actual sampling for each model is done in compiled FORTRAN. The functions return objects which can be subsequently analyzed with functions provided in the 'coda' package.
Author: Alejandro Jara [aut, cre], Timothy Hanson [ctb], Fernando Quintana [ctb], Peter Mueller [ctb], Gary Rosner [ctb]
Maintainer: ORPHANED

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Package Blaunet updated to version 2.0.5 with previous version 2.0.4 dated 2016-04-13

Title: Calculate and Analyze Blau Status for (Covert) Organizations
Description: An integrated set of tools to calculate and analyze Blau statuses quantifying social distance between individuals belonging to (covert) organizations. Relational (network) data may be incorporated for additional analyses. This project is supported by Defense Threat Reduction Agency (DTRA) Grant HDTRA-10-1-0043.
Author: Cheng Wang*, Michael Genkin*, George Berry, Liyuan Chen, Matthew Brashears *Both authors contributed equally to this work and their names are randomly ordered
Maintainer: Cheng Wang <cwang3@nd.edu>

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Package adwave updated to version 1.2 with previous version 1.1 dated 2015-06-25

Title: Wavelet Analysis of Genomic Data from Admixed Populations
Description: Implements wavelet-based approaches for describing population admixture. Principal Components Analysis (PCA) is used to define the population structure and produce a localized admixture signal for each individual. Wavelet summaries of the PCA output describe variation present in the data and can be related to population-level demographic processes. For more details, see Sanderson et al. (2015).
Author: Jean Sanderson
Maintainer: Murray Cox <murray.p.cox@gmail.com>

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Package rfUtilities updated to version 2.1-1 with previous version 2.1-0 dated 2017-06-12

Title: Random Forests Model Selection and Performance Evaluation
Description: Utilities for Random Forest model selection, class balance correction, significance test, cross validation and partial dependency plots.
Author: Jeffrey S. Evans [cre, aut], Melanie A. Murphy [ctb]
Maintainer: Jeffrey S. Evans <jeffrey_evans@tnc.org>

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Package nprobust updated to version 0.1.1 with previous version 0.1.0 dated 2017-09-01

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 estimation methods as described in Calonico, Cattaneo and Farrell (2017a): lprobust() for local polynomial point estimation and robust bias-corrected inference and kdrobust() for kernel density point estimation and robust bias-corrected inference. Several optimal bandwidth selection procedures are computed by lpbwselect() and kdbwselect() for local polynomial and kernel density estimation, respectively. Finally, nprobust.plot() for density and regression plots with robust confidence interval.
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>

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Package mmand updated to version 1.5.3 with previous version 1.5.2 dated 2017-08-22

Title: Mathematical Morphology in Any Number of Dimensions
Description: Provides tools for performing mathematical morphology operations, such as erosion and dilation, on data of arbitrary dimensionality. Can also be used for finding connected components, resampling, filtering, smoothing and other image processing-style operations.
Author: Jon Clayden
Maintainer: Jon Clayden <code@clayden.org>

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Package GCalignR updated to version 1.0.0 with previous version 0.1.0 dated 2017-02-06

Title: Simple Peak Alignment for Gas-Chromatography Data
Description: Aligns peak based on peak retention times and matches homologous peaks across samples. The underlying alignment procedure comprises three sequential steps. (1) Full alignment of samples by linear transformation of retention times to maximise similarity among homologous peaks (2) Partial alignment of peaks within a user-defined retention time window to cluster homologous peaks (3) Merging rows that are likely representing homologous substances (i.e. no sample shows peaks in both rows and the rows have similar retention time means). The algorithm is described in detail in Ottensmann et al. submitted <doi:10.1101/110494>.
Author: Meinolf Ottensmann [aut, cre], Martin Stoffel [aut], Hazel J. Nichols [aut], Joseph I. Hoffman [aut]
Maintainer: Meinolf Ottensmann <meinolf.ottensmann@web.de>

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Package energy updated to version 1.7-2 with previous version 1.7-0 dated 2016-08-26

Title: E-Statistics: Multivariate Inference via the Energy of Data
Description: E-statistics (energy) tests and statistics for multivariate and univariate inference, including distance correlation, one-sample, two-sample, and multi-sample tests for comparing multivariate distributions, are implemented. Measuring and testing multivariate independence based on distance correlation, partial distance correlation, multivariate goodness-of-fit tests, clustering based on energy distance, testing for multivariate normality, distance components (disco) for non-parametric analysis of structured data, and other energy statistics/methods are implemented.
Author: Maria L. Rizzo and Gabor J. Szekely
Maintainer: Maria Rizzo <mrizzo@bgsu.edu>

Diff between energy versions 1.7-0 dated 2016-08-26 and 1.7-2 dated 2017-09-14

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More information about energy at CRAN
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Package CausalImpact updated to version 1.2.3 with previous version 1.2.2 dated 2017-09-14

Title: Inferring Causal Effects using Bayesian Structural Time-Series Models
Description: Implements a Bayesian approach to causal impact estimation in time series, as described in Brodersen et al. (2015) <DOI:10.1214/14-AOAS788>. See the package documentation on GitHub <https://google.github.io/CausalImpact/> to get started.
Author: Kay H. Brodersen <kbrodersen@google.com>, Alain Hauser <alhauser@google.com>
Maintainer: Alain Hauser <alhauser@google.com>

Diff between CausalImpact versions 1.2.2 dated 2017-09-14 and 1.2.3 dated 2017-09-14

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Permanent link

New package perccalc with initial version 1.0.0
Package: perccalc
Title: Estimate Percentiles from an Ordered Categorical Variable
Version: 1.0.0
Authors@R: person("Jorge", "Cimentada", email = "cimentadaj@gmail.com", role = c("aut", "cre"))
Description: An implementation of two functions that estimate values for percentiles from an ordered categorical variable as described by Reardon (2011, isbn:978-0-87154-372-1). One function estimates percentile differences from two percentiles while the other returns the values for every percentile from 1 to 100.
Depends: R (>= 3.4.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Imports: magrittr, dplyr, purrr, stats, tibble, broom, tidyr, multcomp, haven, tidyverse, ggplot2, devtools, MASS
Suggests: spelling, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-09-14 17:40:11 UTC; cimentadaj
Author: Jorge Cimentada [aut, cre]
Maintainer: Jorge Cimentada <cimentadaj@gmail.com>
Repository: CRAN
Date/Publication: 2017-09-14 17:47:40 UTC

More information about perccalc at CRAN
Permanent link

New package glassdoor with initial version 0.7.6
Type: Package
Package: glassdoor
Title: Interface to 'Glassdoor' API
Version: 0.7.6
Authors@R: person(given = "John", family = "Muschelli", role = c("aut", "cre"), email = "muschellij2@gmail.com")
Maintainer: John Muschelli <muschellij2@gmail.com>
Description: Interacts with the 'Glassdoor' API <https://www.glassdoor.com/developer/index.htm>. Allows the user to search job statistics, employer statistics, and job progression, where 'Glassdoor' provides a breakdown of other jobs a person did after their current one.
License: GPL-2
BugReports: https://github.com/muschellij2/glassdoor/issues
Imports: httr, xml2
Suggests: covr, knitr, rmarkdown, testthat
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1.9000
Depends: R (>= 3.1)
NeedsCompilation: no
Packaged: 2017-09-14 17:42:26 UTC; johnmuschelli
Author: John Muschelli [aut, cre]
Repository: CRAN
Date/Publication: 2017-09-14 17:53:05 UTC

More information about glassdoor at CRAN
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New package ggridges with initial version 0.4.0
Package: ggridges
Type: Package
Title: Ridgeline Plots in 'ggplot2'
Version: 0.4.0
Authors@R: c( person("Claus O.", "Wilke", , "wilke@austin.utexas.edu", c("cre", "aut")), person("RStudio", role = c("cph"), comment = "Copyright for ggplot2 code copied to ggridges"))
Description: Ridgeline plots provide a convenient way of visualizing changes in distributions over time or space. This package enables the creation of such plots in 'ggplot2'.
URL: https://github.com/clauswilke/ggridges
Depends: R (>= 3.2), ggplot2 (>= 2.2.0),
Imports: grid (>= 3.0.0), plyr (>= 1.8.0), scales (>= 0.4.1)
License: GPL-2 | file LICENSE
LazyData: true
Suggests: covr, gridExtra, ggplot2movies, forcats, knitr, tidyverse, testthat, vdiffr, viridis
VignetteBuilder: knitr
Collate: 'data.R' 'ggridges.R' 'geoms.R' 'geomsv.R' 'geoms-gradient.R' 'scale-cyclical.R' 'stats.R' 'theme.R' 'utils_ggplot2.R' 'utils.R'
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-09-14 14:40:19 UTC; wilke
Author: Claus O. Wilke [cre, aut], RStudio [cph] (Copyright for ggplot2 code copied to ggridges)
Maintainer: Claus O. Wilke <wilke@austin.utexas.edu>
Repository: CRAN
Date/Publication: 2017-09-14 17:25:12 UTC

More information about ggridges at CRAN
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Package alineR updated to version 1.1.4 with previous version 1.1.3 dated 2016-04-01

Title: Alignment of Phonetic Sequences Using the 'ALINE' Algorithm
Description: Functions are provided to calculate the 'ALINE' Distance between words as per (Kondrak 2000) and (Downey, Hallmark, Cox, Norquest, & Lansing, 2008, <doi:10.1080/09296170802326681>). The score is based on phonetic features represented using the Unicode-compliant International Phonetic Alphabet (IPA). Parameterized features weights are used to determine the optimal alignment and functions are provided to estimate optimum values using a genetic algorithm and supervised learning. See (Downey, Sun, and Norquest 2017, <https://journal.r-project.org/archive/2017/RJ-2017-005/index.html>.
Author: Sean Downey [aut, cre], Guowei Sun [aut], Greg Kondrak [cph] (Copyright holder of original ALINE algorithm C++ source code included in package.)
Maintainer: Sean Downey <sean@codexdata.com>

Diff between alineR versions 1.1.3 dated 2016-04-01 and 1.1.4 dated 2017-09-14

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Package MSGARCH updated to version 1.1 with previous version 0.17.7 dated 2017-01-09

Title: Markov-Switching GARCH Models
Description: The MSGARCH package offers methods to fit (by Maximum Likelihood or MCMC/Bayesian), simulate, and forecast various Markov-Switching GARCH models as described in Ardia et al. (2017) <https://ssrn.com/abstract=2845809>.
Author: David Ardia [aut], Keven Bluteau [aut, cre], Kris Boudt [ctb], Leopoldo Catania [aut], Brian Peterson [ctb], Denis-Alexandre Trottier [aut]
Maintainer: Keven Bluteau <Keven.Bluteau@unine.ch>

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Package joineR updated to version 1.2.2 with previous version 1.2.1 dated 2017-07-24

Title: Joint Modelling of Repeated Measurements and Time-to-Event Data
Description: Analysis of repeated measurements and time-to-event data via random effects joint models. Fits the joint models proposed by Henderson and colleagues <doi:10.1093/biostatistics/1.4.465> (single event time) and by Williamson and colleagues (2008) <doi:10.1002/sim.3451> (competing risks events time) to a single continuous repeated measure. The time-to-event data is modelled using a (cause-specific) Cox proportional hazards regression model with time-varying covariates. The longitudinal outcome is modelled using a linear mixed effects model. The association is captured by a latent Gaussian process. The model is estimated using am Expectation Maximization algorithm. Some plotting functions and the variogram are also included. This project is funded by the Medical Research Council (Grant numbers G0400615 and MR/M013227/1).
Author: Pete Philipson [aut], Ines Sousa [aut], Peter J. Diggle [aut], Paula Williamson [aut], Ruwanthi Kolamunnage-Dona [aut], Robin Henderson [aut], Graeme L. Hickey [aut, cre], Maria Sudell [ctb]
Maintainer: Graeme L. Hickey <graeme.hickey@liverpool.ac.uk>

Diff between joineR versions 1.2.1 dated 2017-07-24 and 1.2.2 dated 2017-09-14

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Package ASMap updated to version 1.0-2 with previous version 1.0-1 dated 2017-07-26

Title: Linkage Map Construction using the MSTmap Algorithm
Description: Functions for Accurate and Speedy linkage map construction, manipulation and diagnosis of Doubled Haploid, Backcross and Recombinant Inbred 'R/qtl' objects. This includes extremely fast linkage map clustering and optimal marker ordering using 'MSTmap' (see Wu et al.,2008).
Author: Julian Taylor <julian.taylor@adelaide.edu.au>, David Butler <dbutler@uow.edu.au>.
Maintainer: Julian Taylor <julian.taylor@adelaide.edu.au>

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New package spatstat.data with initial version 1.0-1
Package: spatstat.data
Version: 1.0-1
Date: 2017-09-13
Title: Datasets for 'spatstat'
Authors@R: c(person("Adrian", "Baddeley", role = c("aut", "cre"), email = "Adrian.Baddeley@curtin.edu.au"), person("Rolf", "Turner", role = "aut", email="r.turner@auckland.ac.nz"), person("Ege", "Rubak", role = "aut", email = "rubak@math.aau.dk"))
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>
Depends: R (>= 3.3.0)
Suggests: spatstat
Description: Contains all the datasets for the 'spatstat' package.
License: GPL (>= 2)
URL: http://www.spatstat.org
LazyData: true
NeedsCompilation: no
ByteCompile: false
BugReports: https://github.com/spatstat/spatstat.data/issues
Packaged: 2017-09-13 16:05:26 UTC; adrian
Author: Adrian Baddeley [aut, cre], Rolf Turner [aut], Ege Rubak [aut]
Repository: CRAN
Date/Publication: 2017-09-14 15:18:17 UTC

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Package RNifti updated to version 0.7.1 with previous version 0.7.0 dated 2017-06-12

Title: Fast R and C++ Access to NIfTI Images
Description: Provides very fast access to images stored in the NIfTI-1 file format <http://www.nitrc.org/docman/view.php/26/64/nifti1.h>, with seamless synchronisation between compiled C and interpreted R code. Not to be confused with 'RNiftyReg', which provides tools for image registration.
Author: Jon Clayden [cre, aut], Bob Cox [aut], Mark Jenkinson [aut], Matt Hall [ctb], Rick Reynolds [ctb], Kate Fissell [ctb], Jean-loup Gailly [cph], Mark Adler [cph]
Maintainer: Jon Clayden <code@clayden.org>

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Package GetTDData updated to version 1.3 with previous version 1.2.5 dated 2016-11-07

Title: Get Data for Brazilian Bonds (Tesouro Direto)
Description: Downloads and aggregates data for Brazilian government issued bonds directly from the website of Tesouro Direto <http://www.tesouro.fazenda.gov.br/tesouro-direto-balanco-e-estatisticas>.
Author: Marcelo Perlin [aut, cre]
Maintainer: Marcelo Perlin <marceloperlin@gmail.com>

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Package causalMGM updated to version 0.1.1 with previous version 0.1.0 dated 2017-08-30

Title: Causal Learning of Mixed Graphical Models
Description: Allows users to learn undirected and directed (causal) graphs over mixed data types (i.e., continuous and discrete variables). To learn a directed graph over mixed data, it first calculates the undirected graph (Sedgewick et al, 2016) and then it uses local search strategies to prune-and-orient this graph (Sedgewick et al, 2017). AJ Sedgewick, I Shi, RM Donovan, PV Benos (2016) <doi:10.1186/s12859-016-1039-0>. AJ Sedgewick, JD Ramsey, P Spirtes, C Glymour, PV Benos (2017) <arXiv:1704.02621>.
Author: Andrew J Sedgewick, Neha Abraham <neha.abraham@pitt.edu>, Vineet Raghu <vineetraghu@gmail.com>, Panagiotis Benos <benos@pitt.edu>
Maintainer: Neha Abraham <mgmquery@pitt.edu>

Diff between causalMGM versions 0.1.0 dated 2017-08-30 and 0.1.1 dated 2017-09-14

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Package vfcp updated to version 1.3.0 with previous version 1.2.0 dated 2017-09-01

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>

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Package plsgenomics updated to version 1.5-1 with previous version 1.5 dated 2017-08-30

Title: PLS Analyses for Genomics
Description: Routines for PLS-based genomic analyses, implementing PLS methods for classification with microarray data and prediction of transcription factor activities from combined ChIP-chip analysis. The >=1.2-1 versions include two new classification methods for microarray data: GSIM and Ridge PLS. The >=1.3 versions includes a new classification method combining variable selection and compression in logistic regression context: logit-SPLS; and an adaptive version of the sparse PLS.
Author: Anne-Laure Boulesteix <boulesteix@ibe.med.uni-muenchen.de>, Ghislain Durif <gd.dev@libertymail.net>, Sophie Lambert-Lacroix <sophie.lambert-lacroix@univ-grenoble-alpes.fr>, Julie Peyre <Julie.Peyre@univ-grenoble-alpes.fr>, and Korbinian Strimmer <k.strimmer@imperial.ac.uk>.
Maintainer: Ghislain Durif <gd.dev@libertymail.net>

Diff between plsgenomics versions 1.5 dated 2017-08-30 and 1.5-1 dated 2017-09-14

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Package PakPC2017 updated to version 0.2.0 with previous version 0.1.0 dated 2017-09-05

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]
Maintainer: Muhammad Yaseen <myaseen208@gmail.com>

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Package eVenn updated to version 2.4 with previous version 2.3.6 dated 2017-08-22

Title: A Powerful Tool to Quickly Compare Huge Lists and Draw Venn Diagrams
Description: Compare lists (from 2 to infinite) and plot the results in a Venn diagram if (N<=4) with regulation details. It allows to produce a complete annotated file, merging the annotations of the compared lists. It is also possible to compute an overlaps table to show the overlaps proportions of all the couples of lists and draw proportional Venn diagrams.
Author: Nicolas Cagnard
Maintainer: Nicolas Cagnard <nicolas.cagnard@gmail.com>

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Package bizdays updated to version 1.0.4 with previous version 1.0.3 dated 2017-05-03

Title: Business Days Calculations and Utilities
Description: Business days calculations based on a list of holidays and nonworking weekdays. Quite useful for fixed income and derivatives pricing.
Author: Wilson Freitas <wilson.freitas@gmail.com>
Maintainer: Wilson Freitas <wilson.freitas@gmail.com>

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New package spectrolab with initial version 0.0.2
Package: spectrolab
Type: Package
Title: Class and Methods for Hyperspectral Data
Version: 0.0.2
Date: 2017-08-19
Authors@R: c(person("Jose Eduardo", "Meireles", email = "meireles@umn.edu", role = c("aut", "cre")), person("Anna K.", "Schweiger", email = "anna.k.schweiger@gmail.com", role = "aut"), person("Jeannine", "Cavender-Bares", email = "cavender@umn.edu", role = "aut") )
Description: Input/Output, processing and visualization of spectra from field spectrometer vendors, including SVC (Spectra Vista), ASD and PSR (Spectral Evolution). Implements an S3 class 'spectra' that other packages can build on. Provides methods to access, plot, manipulate, splice sensor overlap, vector normalize and smooth spectra.
License: GPL-3
URL: https://github.com/annakat/spectrolab
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Depends: R (>= 3.4)
Suggests: knitr (>= 1.16), rmarkdown (>= 1.5), testthat (>= 1.0.2), parallel (>= 1.13.1)
VignetteBuilder: knitr
Imports: prospectr (>= 0.1.3), shiny (>= 1.0.3), grDevices, RColorBrewer (>= 1.1-2), devtools (>= 1.13.3), shinyjs (>= 0.9.1)
NeedsCompilation: no
Packaged: 2017-09-14 03:03:47 UTC; meireles
Author: Jose Eduardo Meireles [aut, cre], Anna K. Schweiger [aut], Jeannine Cavender-Bares [aut]
Maintainer: Jose Eduardo Meireles <meireles@umn.edu>
Repository: CRAN
Date/Publication: 2017-09-14 13:23:42 UTC

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Package rpgm updated to version 1.0.2 with previous version 1.0.1 dated 2017-07-08

Title: Fast Simulation of Normal/Exponential Random Variables and Stochastic Differential Equations / Poisson Processes
Description: Fast simulation of some random variables than the usual native functions, including rnorm() and rexp(), using Ziggurat method, reference: MARSAGLIA, George, TSANG, Wai Wan, and al. (2000) <doi:10.18637/jss.v005.i08>, and fast simulation of stochastic differential equations / Poisson processes.
Author: Nicolas Baradel
Maintainer: Nicolas Baradel - PGM Solutions <nicolas.baradel@pgm-solutions.com>

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Package mkin updated to version 0.9.46.1 with previous version 0.9.46 dated 2017-07-29

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

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Package CausalImpact updated to version 1.2.2 with previous version 1.2.1 dated 2017-05-31

Title: Inferring Causal Effects using Bayesian Structural Time-Series Models
Description: Implements a Bayesian approach to causal impact estimation in time series, as described in Brodersen et al. (2015) <DOI:10.1214/14-AOAS788>. See the package documentation on GitHub <https://google.github.io/CausalImpact/> to get started.
Author: Kay H. Brodersen <kbrodersen@google.com>, Alain Hauser <alhauser@google.com>
Maintainer: Alain Hauser <alhauser@google.com>

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Package smoothAPC updated to version 0.2 with previous version 0.1 dated 2016-09-18

Title: Smoothing of Two-Dimensional Demographic Data, Optionally Taking into Account Period and Cohort Effects
Description: The implemented method uses for smoothing bivariate thin plate splines, bivariate lasso-type regularization, and allows for both period and cohort effects. Thus the mortality rates are modelled as the sum of four components: a smooth bivariate function of age and time, smooth one-dimensional cohort effects, smooth one-dimensional period effects and random errors.
Author: Alexander Dokumentov, Rob J Hyndman
Maintainer: Alexander Dokumentov <alexander.dokumentov@gmail.com>

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Package repo updated to version 2.1.1 with previous version 2.0.2 dated 2016-05-03

Title: A Data-Centered Data Flow Manager
Description: A data manager meant to avoid manual storage/retrieval of data to/from the file system. It builds one (or more) centralized repository where R objects are stored with rich annotations, including corresponding code chunks, and easily searched and retrieved.
Author: Francesco Napolitano <franapoli@gmail.com>
Maintainer: Francesco Napolitano <franapoli@gmail.com>

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Package MAMS updated to version 1.2 with previous version 1.01 dated 2017-02-23

Title: Designing Multi-Arm Multi-Stage Studies
Description: Designing multi-arm multi-stage studies with (asymptotically) normal endpoints and known variance.
Author: Thomas Jaki <jaki.thomas@gmail.com>, Dominic Magirr <d.magirr@gmail.com>, Philip Pallmann <p.pallmann@lancaster.ac.uk>
Maintainer: Thomas Jaki <jaki.thomas@gmail.com>

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Package anomalyDetection updated to version 0.2.3 with previous version 0.2.2 dated 2017-09-01

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 elastic updated to version 0.8.0 with previous version 0.7.8 dated 2016-11-09

Title: General Purpose Interface to 'Elasticsearch'
Description: Connect to 'Elasticsearch', a 'NoSQL' database built on the 'Java' Virtual Machine. Interacts with the 'Elasticsearch' 'HTTP' 'API' (<https://www.elastic.co/products/elasticsearch>), including functions for setting connection details to 'Elasticsearch' instances, loading bulk data, searching for documents with both 'HTTP' query variables and 'JSON' based body requests. In addition, 'elastic' provides functions for interacting with 'APIs' for 'indices', documents, nodes, clusters, an interface to the cat 'API', and more.
Author: Scott Chamberlain [aut, cre]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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Package adiv updated to version 1.1 with previous version 1.0 dated 2017-07-19

Title: Analysis of Diversity
Description: Includes functions, data sets and examples for the calculation of various indices of biodiversity including species, functional and phylogenetic diversity. Part of the indices are expressed in terms of equivalent numbers of species. It also provides ways to partition biodiversity across spatial or temporal scales (alpha, beta, gamma diversities). In addition to the quantification of biodiversity, ordination approaches are available which rely on diversity indices and allow the detailed identification of species, functional or phylogenetic differences between communities.
Author: Sandrine Pavoine
Maintainer: Sandrine Pavoine <sandrine.pavoine@mnhn.fr>

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Package TR8 updated to version 0.9.18 with previous version 0.9.16 dated 2017-03-16

Title: A Tool for Downloading Functional Traits Data for Plant Species
Description: Plant ecologists often need to collect "traits" data about plant species which are often scattered among various databases: TR8 contains a set of tools which take care of automatically retrieving some of those functional traits data for plant species from publicly available databases (Biolflor, The Ecological Flora of the British Isles, LEDA traitbase, Ellenberg values for Italian Flora, Mycorrhizal intensity databases, Catminat, BROT, PLANTS, Jepson Flora Project). The TR8 name, inspired by "car plates" jokes, was chosen since it both reminds of the main object of the package and is extremely short to type.
Author: Gionata Bocci <boccigionata@gmail.com>
Maintainer: Gionata Bocci <boccigionata@gmail.com>

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Package RSA updated to version 0.9.11 with previous version 0.9.10 dated 2016-02-22

Title: Response Surface Analysis
Description: Advanced response surface analysis. The main function RSA computes and compares several nested polynomial regression models (full polynomial, shifted and rotated squared differences, rising ridge surfaces, basic squared differences). The package provides plotting functions for 3d wireframe surfaces, interactive 3d plots, and contour plots. Calculates many surface parameters (a1 to a4, principal axes, stationary point, eigenvalues) and provides standard, robust, or bootstrapped standard errors and confidence intervals for them.
Author: Felix Schönbrodt [aut, cre], Sarah Humberg [ctb]
Maintainer: Felix Schönbrodt <felix@nicebread.de>

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Package plantecophys updated to version 1.3 with previous version 1.2-9 dated 2017-08-08

Title: Modelling and Analysis of Leaf Gas Exchange Data
Description: Coupled leaf gas exchange model, A-Ci curve simulation and fitting, Ball-Berry stomatal conductance models, leaf energy balance using Penman-Monteith, Cowan-Farquhar optimization, humidity unit conversions. See Duursma (2015) <doi:10.1371/journal.pone.0143346>.
Author: Remko Duursma [aut, cre]
Maintainer: Remko Duursma <remkoduursma@gmail.com>

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Package bibliometrix updated to version 1.8 with previous version 1.7 dated 2017-07-08

Title: An R-Tool for Comprehensive Science Mapping Analysis
Description: Tool for quantitative research in scientometrics and bibliometrics. It provides various routines for importing bibliographic data from SCOPUS (<http://scopus.com>) and Clarivate Analytics Web of Science (<http://www.webofknowledge.com/>) databases, performing bibliometric analysis and building data matrices for co-citation, coupling, scientific collaboration and co-word analysis.
Author: Massimo Aria [cre, aut], Corrado Cuccurullo [aut]
Maintainer: Massimo Aria <aria@unina.it>

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