Fri, 16 Mar 2018

Package poppr updated to version 2.7.1 with previous version 2.7.0 dated 2018-03-16

Title: Genetic Analysis of Populations with Mixed Reproduction
Description: Population genetic analyses for hierarchical analysis of partially clonal populations built upon the architecture of the 'adegenet' package.
Author: Zhian N. Kamvar [cre, aut] (<https://orcid.org/0000-0003-1458-7108>), Javier F. Tabima [aut] (<https://orcid.org/0000-0002-3603-2691>), Sydney E. Everhart [ctb, dtc] (<https://orcid.org/0000-0002-5773-1280>), Jonah C. Brooks [aut], Stacy A. Krueger-Hadfield [ctb] (<https://orcid.org/0000-0002-7324-7448>), Erik Sotka [ctb], Brian J. Knaus [ctb] (<https://orcid.org/0000-0003-1665-4343>), Patrick G. Meirmans [ctb] (<https://orcid.org/0000-0002-6395-8107>), Niklaus J. Grunwald [ths] (<https://orcid.org/0000-0003-1656-7602>)
Maintainer: Zhian N. Kamvar <zkamvar@gmail.com>

Diff between poppr versions 2.7.0 dated 2018-03-16 and 2.7.1 dated 2018-03-16

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Package nprobust updated to version 0.1.2 with previous version 0.1.1 dated 2017-09-14

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 (2018): 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>

Diff between nprobust versions 0.1.1 dated 2017-09-14 and 0.1.2 dated 2018-03-16

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Package sparsebnUtils updated to version 0.0.6 with previous version 0.0.5 dated 2017-09-09

Title: Utilities for Learning Sparse Bayesian Networks
Description: A set of tools for representing and estimating sparse Bayesian networks from continuous and discrete data.
Author: Bryon Aragam [aut, cre], Jiaying Gu [aut]
Maintainer: Bryon Aragam <sparsebn@gmail.com>

Diff between sparsebnUtils versions 0.0.5 dated 2017-09-09 and 0.0.6 dated 2018-03-16

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Package lfactors updated to version 1.0.4 with previous version 1.0.1 dated 2017-04-18

Title: Factors with Levels
Description: Provides an extension to factors called 'lfactor' that are similar to factors but allows users to refer to 'lfactor' levels by either the level or the label.
Author: Paul Bailey [aut, cre]
Maintainer: Paul Bailey <pbailey@air.org>

Diff between lfactors versions 1.0.1 dated 2017-04-18 and 1.0.4 dated 2018-03-16

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Package sphet updated to version 1.7 with previous version 1.6 dated 2015-01-16

Title: Estimation of Spatial Autoregressive Models with and without Heteroscedasticity
Description: Generalized Method of Moment estimation of Cliff-Ord-type spatial autoregressive models with and without Heteroscedasticity.
Author: Gianfranco Piras <gpiras@mac.com>
Maintainer: Gianfranco Piras <gpiras@mac.com>

Diff between sphet versions 1.6 dated 2015-01-16 and 1.7 dated 2018-03-16

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Package spc4sts updated to version 0.3.0 with previous version 0.2.1 dated 2017-07-17

Title: Statistical Process Control for Stochastic Textured Surfaces
Description: Provides statistical process control tools for stochastic textured surfaces. The current version supports the following tools: (1) monitors and diagnoses for local defects on stochastic textured surfaces, which was proposed by Bui and Apley (2018a) <doi:10.1080/00401706.2017.1302362>. (2) monitors for global changes in the nature of stochastic textured surfaces.
Author: Anh Bui [aut, cre] and Daniel Apley [ths]
Maintainer: Anh Bui <atbui@u.northwestern.edu>

Diff between spc4sts versions 0.2.1 dated 2017-07-17 and 0.3.0 dated 2018-03-16

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New package spnn with initial version 1.0
Package: spnn
Type: Package
Title: Scale Invariant Probabilistic Neural Networks
Version: 1.0
Date: 2018-03-15
Author: Romin Ebrahimi
Maintainer: Romin Ebrahimi <romin.ebrahimi@utexas.edu>
Description: Scale invariant version of the original PNN proposed by Specht (1990) <doi:10.1016/0893-6080(90)90049-q> with the added functionality of allowing for smoothing along multiple dimensions while accounting for covariances within the data set. It is written in the R statistical programming language. Given a data set with categorical variables, we use this algorithm to estimate the probabilities of a new observation vector belonging to a specific category. This type of neural network provides the benefits of fast training time relative to backpropagation and statistical generalization with only a small set of known observations.
License: GPL (>= 2)
Imports: MASS (>= 3.1-20)
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-03-16 13:41:19 UTC; romin
Repository: CRAN
Date/Publication: 2018-03-16 18:46:21 UTC

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New package NormPsy with initial version 1.0.7
Package: NormPsy
Type: Package
Title: Normalisation of Psychometric Tests
Version: 1.0.7
Date: 2018-03-16
Author: Cecile Proust-Lima, Viviane Philipps
Maintainer: Cecile Proust-Lima <cecile.proust-lima@inserm.fr>
Description: Functions for normalizing psychometric test scores. The normalization aims at correcting the metrological properties of the psychometric tests such as the ceiling and floor effects and the curvilinearity (unequal interval scaling). Functions to compute and plot predictions in the natural scale of the psychometric test from the estimates of a linear mixed model estimated on the normalized scores are also provided. See Philipps et al (2014) <doi:10.1159/000365637> for details.
License: GPL
Depends: R (>= 2.14.0)
Imports: lcmm (>= 1.7.1)
NeedsCompilation: yes
Packaged: 2018-03-16 12:19:50 UTC; vp3
Repository: CRAN
Date/Publication: 2018-03-16 18:48:55 UTC

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Package MonteCarlo updated to version 1.0.5 with previous version 1.0.4 dated 2018-03-14

Title: Automatic Parallelized Monte Carlo Simulations
Description: Simplifies Monte Carlo simulation studies by automatically setting up loops to run over parameter grids and parallelising the Monte Carlo repetitions. It also generates LaTeX tables.
Author: Christian Hendrik Leschinski
Maintainer: Christian Hendrik Leschinski <leschinski@statistik.uni-hannover.de>

Diff between MonteCarlo versions 1.0.4 dated 2018-03-14 and 1.0.5 dated 2018-03-16

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New package fitPoly with initial version 3.0.0
Package: fitPoly
Type: Package
Title: Genotype Calling for Bi-Allelic Marker Assays
Version: 3.0.0
Date: 2018-03-14
Author: Roeland E. Voorrips and Gerrit Gort
Maintainer: Roeland E. Voorrips <roeland.voorrips@wur.nl>
Description: Genotyping assays for bi-allelic markers (e.g. SNPs) produce signal intensities for the two alleles. 'fitPoly' assigns genotypes (allele dosages) to a collection of polyploid samples based on these signal intensities. 'fitPoly' replaces the older package 'fitTetra' that was limited (a.o.) to only tetraploid populations whereas 'fitPoly' accepts any ploidy level. Reference: Voorrips RE, Gort G, Vosman B (2011) <doi:10.1186/1471-2105-12-172>.
License: GPL-2
Depends: R (>= 3.2.0)
Imports: foreach
Suggests: devEMF, doParallel, grDevices
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-03-16 14:31:25 UTC; voorr001
Repository: CRAN
Date/Publication: 2018-03-16 19:01:05 UTC

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Package BOIN updated to version 2.6.1 with previous version 2.6 dated 2018-02-21

Title: Bayesian Optimal INterval (BOIN) Design for Single-Agent and Drug- Combination Phase I Clinical Trials
Description: The Bayesian optimal interval (BOIN) design is a novel phase I clinical trial design for finding the maximum tolerated dose (MTD). It can be used to design both single-agent and drug-combination trials. The BOIN design is motivated by the top priority and concern of clinicians when testing a new drug, which is to effectively treat patients and minimize the chance of exposing them to subtherapeutic or overly toxic doses. The prominent advantage of the BOIN design is that it achieves simplicity and superior performance at the same time. The BOIN design is algorithm-based and can be implemented in a simple way similar to the traditional 3+3 design. The BOIN design yields an average performance that is comparable to that of the continual reassessment method (CRM, one of the best model-based designs) in terms of selecting the MTD, but has a substantially lower risk of assigning patients to subtherapeutic or overly toxic doses.
Author: Ying Yuan and Suyu Liu
Maintainer: Ying Yuan <yyuan@mdanderson.org>

Diff between BOIN versions 2.6 dated 2018-02-21 and 2.6.1 dated 2018-03-16

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Package tractor.base updated to version 3.2.2 with previous version 3.1.0 dated 2017-06-15

Title: Read, Manipulate and Visualise Magnetic Resonance Images
Description: Functions for working with magnetic resonance images. Analyze, NIfTI-1, NIfTI-2 and MGH format images can be read and written; DICOM files can only be read.
Author: Jon Clayden
Maintainer: Jon Clayden <code@clayden.org>

Diff between tractor.base versions 3.1.0 dated 2017-06-15 and 3.2.2 dated 2018-03-16

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Package speaq updated to version 2.3.0 with previous version 2.2.0 dated 2018-03-02

Title: Tools for Nuclear Magnetic Resonance (NMR) Spectra Alignment, Peak Based Processing, Quantitative Analysis and Visualizations
Description: Makes Nuclear Magnetic Resonance spectroscopy (NMR spectroscopy) data analysis as easy as possible by only requiring a small set of functions to perform an entire analysis. 'speaq' offers the possibility of raw spectra alignment and quantitation but also an analysis based on features whereby the spectra are converted to peaks which are then grouped and turned into features. These features can be processed with any number of statistical tools either included in 'speaq' or available elsewhere on CRAN. More detail can be found in Vu et al. (2011) <doi:10.1186/1471-2105-12-405> and Beirnaert et al. (2018) <doi:10.1371/journal.pcbi.1006018>.
Author: Charlie Beirnaert, Trung Nghia Vu, Pieter Meysman, Kris Laukens and Dirk Valkenborg
Maintainer: Charlie Beirnaert <charlie_beirnaert@icloud.com>

Diff between speaq versions 2.2.0 dated 2018-03-02 and 2.3.0 dated 2018-03-16

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Package qle updated to version 0.17-1 with previous version 0.17 dated 2018-03-16

Title: Simulation-Based Quasi-Likelihood Estimation
Description: A simulation-based quasi-likelihood method (Baaske, M., Ballani, F., v.d. Boogaart, K.G. (2014) <doi:10.5566/ias.v33.p107-119>) for parameter estimation of parametric statistical models for which closed-form representations of distributional characteristics are unavailable and can only be obtained by computationally intensive simulations of the model.
Author: Markus Baaske [aut, cre, cph], K. Gerald van den Boogaart [ths]
Maintainer: Markus Baaske <markus.baaske@uni-jena.de>

Diff between qle versions 0.17 dated 2018-03-16 and 0.17-1 dated 2018-03-16

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New package psgp with initial version 0.3-15
Package: psgp
Version: 0.3-15
Date: 2018-03-07
Title: Projected Spatial Gaussian Process Methods
Author: Ben Ingram <bri@utalca.cl>, Remi Barillec <r.barillec@aston.ac.uk>
Maintainer: Jon Olav Skoien <jon.skoien@gmail.com>
Depends: R (>= 3.0.2), intamap
Imports: gstat, automap, sp, doParallel, rgdal, foreach, parallel, Rcpp
Suggests:
LinkingTo: Rcpp, RcppArmadillo (>= 0.2.0)
Description: Implements projected sparse Gaussian process Kriging (Ingram 'et. al.', 2008, <doi:10.1007/s00477-007-0163-9>) as an additional method for the 'intamap' package.
License: GPL (>= 2)
Repository: CRAN
NeedsCompilation: yes
Packaged: 2018-03-07 15:53:16 UTC; skoiejo
Date/Publication: 2018-03-16 17:14:18 UTC

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Package poppr updated to version 2.7.0 with previous version 2.6.1 dated 2018-01-15

Title: Genetic Analysis of Populations with Mixed Reproduction
Description: Population genetic analyses for hierarchical analysis of partially clonal populations built upon the architecture of the 'adegenet' package.
Author: Zhian N. Kamvar [cre, aut] (<https://orcid.org/0000-0003-1458-7108>), Javier F. Tabima [aut] (<https://orcid.org/0000-0002-3603-2691>), Sydney E. Everhart [ctb, dtc] (<https://orcid.org/0000-0002-5773-1280>), Jonah C. Brooks [aut], Stacy A. Krueger-Hadfield [ctb] (<https://orcid.org/0000-0002-7324-7448>), Erik Sotka [ctb], Brian J. Knaus [ctb] (<https://orcid.org/0000-0003-1665-4343>), Patrick G. Meirmans [ctb] (<https://orcid.org/0000-0002-6395-8107>), Niklaus J. Grunwald [ths] (<https://orcid.org/0000-0003-1656-7602>)
Maintainer: Zhian N. Kamvar <zkamvar@gmail.com>

Diff between poppr versions 2.6.1 dated 2018-01-15 and 2.7.0 dated 2018-03-16

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Package mirt updated to version 1.27.1 with previous version 1.26.3 dated 2017-11-29

Title: Multidimensional Item Response Theory
Description: Analysis of dichotomous and polytomous response data using unidimensional and multidimensional latent trait models under the Item Response Theory paradigm (Chalmers (2012) <doi:10.18637/jss.v048.i06>). Exploratory and confirmatory models can be estimated with quadrature (EM) or stochastic (MHRM) methods. Confirmatory bi-factor and two-tier analyses are available for modeling item testlets. Multiple group analysis and mixed effects designs also are available for detecting differential item and test functioning as well as modelling item and person covariates. Finally, latent class models such as the DINA, DINO, multidimensional latent class, and several other discrete latent variable models are supported.
Author: Phil Chalmers [aut, cre, cph], Joshua Pritikin [ctb], Alexander Robitzsch [ctb], Mateusz Zoltak [ctb], KwonHyun Kim [ctb], Carl F. Falk [ctb], Adam Meade [ctb], Lennart Schneider [ctb], David King [ctb], Chen-Wei Liu [ctb]
Maintainer: Phil Chalmers <rphilip.chalmers@gmail.com>

Diff between mirt versions 1.26.3 dated 2017-11-29 and 1.27.1 dated 2018-03-16

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Package metaviz updated to version 0.2.0 with previous version 0.1.1 dated 2017-06-30

Title: Forest Plots, Funnel Plots, and Visual Funnel Plot Inference for Meta-Analysis
Description: A compilation of functions to plot meta-analytic data using 'ggplot2'. Currently allows to create forest plots, funnel plots, and many of their variants, such as rainforest plots and additional evidence contour enhanced funnel plots. In addition, functionalities for visual funnel plot inference are provided. In the near future, the 'metaviz' package will be extended by further, established as well as novel, plotting options for visualizing meta-analytic data.
Author: Michael Kossmeier [cre, aut], Ulrich S. Tran [aut], Martin Voracek [aut]
Maintainer: Michael Kossmeier <michael.kossmeier@univie.ac.at>

Diff between metaviz versions 0.1.1 dated 2017-06-30 and 0.2.0 dated 2018-03-16

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Package diffractometry updated to version 0.1-10 with previous version 0.1-8 dated 2013-12-11

Title: Baseline Identification and Peak Decomposition for x-Ray Diffractograms
Description: Residual-based baseline identification and peak decomposition for x-ray diffractograms as introduced in Davies/Gather/Mergel/Meise/Mildenberger (2008) <doi:10.1214/08-AOAS181>.
Author: P.L. Davies, U. Gather, M. Meise, D.Mergel, T. Mildenberger. Additional Code by T. Bernholt and T. Hofmeister
Maintainer: T. Mildenberger <mild@zhaw.ch>

Diff between diffractometry versions 0.1-8 dated 2013-12-11 and 0.1-10 dated 2018-03-16

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Package binGroup updated to version 2.1-1 with previous version 2.1-0 dated 2018-03-13

Title: Evaluation and Experimental Design for Binomial Group Testing
Description: Methods for estimation and hypothesis testing of proportions in group testing designs: methods for estimating a proportion in a single population (assuming sensitivity and specificity equal to 1 in designs with equal group sizes), as well as hypothesis tests and functions for experimental design for this situation. For estimating one proportion or the difference of proportions, a number of confidence interval methods are included, which can deal with various different pool sizes. Further, regression methods are implemented for simple pooling and matrix pooling designs. Methods for identification of positive specimens in group testing designs: methods for identification of positive specimens in a number of group testing algorithms. Hierarchical and array-based algorithms are implemented and used to find the optimal testing configuration and calculate operating characteristics for testing configurations across a wide variety of situations.
Author: Boan Zhang [aut], Christopher Bilder [aut], Brad Biggerstaff [aut], Frank Schaarschmidt [aut, cre], Brianna Hitt [aut]
Maintainer: Frank Schaarschmidt <schaarschmidt@biostat.uni-hannover.de>

Diff between binGroup versions 2.1-0 dated 2018-03-13 and 2.1-1 dated 2018-03-16

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Package blscrapeR updated to version 3.1.2 with previous version 3.1.1 dated 2017-11-22

Title: An API Wrapper for the Bureau of Labor Statistics (BLS)
Description: Scrapes various data from <https://www.bls.gov/>. The U.S. Bureau of Labor Statistics is the statistical branch of the United States Department of Labor. The package has additional functions to help parse, analyze and visualize the data.
Author: Kris Eberwein [aut, cre]
Maintainer: Kris Eberwein <eberwein@knights.ucf.edu>

Diff between blscrapeR versions 3.1.1 dated 2017-11-22 and 3.1.2 dated 2018-03-16

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Package EthSEQ updated to version 2.1.2 with previous version 2.1.1 dated 2017-09-16

Title: Ethnicity Annotation from Whole Exome Sequencing Data
Description: Reliable and rapid ethnicity annotation from whole exome sequencing data.
Author: Alessandro Romanel
Maintainer: Alessandro Romanel <alessandro.romanel@unitn.it>

Diff between EthSEQ versions 2.1.1 dated 2017-09-16 and 2.1.2 dated 2018-03-16

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Package NlinTS updated to version 1.3.2 with previous version 1.3.1 dated 2018-03-15

Title: Non Linear Time Series Analysis
Description: Models for time series forecasting and causality detection. The main functionalities of this package consist of a neural network Vector Auto-Regressive model, the classical Granger causality test C.W.J.Granger (1980) <doi:10.1016/0165-1889(80)90069-X>, and a non-linear version of it based on feedforward neural networks.
Author: Youssef Hmamouche [aut, cre], Sylvain Barthelemy [cph]
Maintainer: Youssef Hmamouche <hmamoucheyussef@gmail.com>

Diff between NlinTS versions 1.3.1 dated 2018-03-15 and 1.3.2 dated 2018-03-16

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Package lavaSearch2 updated to version 1.2.0 with previous version 1.1.0 dated 2018-02-06

Title: Tools for Model Specification in the Latent Variable Framework
Description: Tools for model specification in the latent variable framework (add-on to the 'lava' package). The package contains three main functionalities: Wald tests/F-tests with improved control of the type 1 error in small samples, adjustment for multiple comparisons when searching for local dependencies, and adjustment for multiple comparisons when doing inference for multiple latent variable models.
Author: Brice Ozenne [aut, cre]
Maintainer: Brice Ozenne <brice.ozenne@orange.fr>

Diff between lavaSearch2 versions 1.1.0 dated 2018-02-06 and 1.2.0 dated 2018-03-16

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More information about lavaSearch2 at CRAN
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Package ijtiff updated to version 1.0.0 with previous version 0.3.0 dated 2018-02-12

Title: TIFF I/O for 'ImageJ' Users
Description: Correctly import TIFF files that were saved from 'ImageJ' and write TIFF files than can be correctly read by 'ImageJ' <https://imagej.nih.gov/ij/>. Full support for TIFF files with floating point (real-numbered) pixels. Also supports text image I/O.
Author: Rory Nolan [aut, cre], Simon Urbanek [ctb], Sergi Padilla-Parra [ths]
Maintainer: Rory Nolan <rorynoolan@gmail.com>

Diff between ijtiff versions 0.3.0 dated 2018-02-12 and 1.0.0 dated 2018-03-16

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New package petitr with initial version 1.0
Package: petitr
Version: 1.0
Date: 2018-03-09
Title: Relative Growth Rate
Author: Jean-Sebastien Pierre <jean-sebastien.pierre@univ-rennes1.fr>
Maintainer: Jean-Sebastien Pierre <jean-sebastien.pierre@univ-rennes1.fr>
Depends: R (>= 1.8.0)
Description: Calculates the relative growth rate (RGR) of a series of individuals by building a life table and solving the Lotka-Birch equation. (See Birch, L. C. 1948. The intrinsic rate of natural increase of an insect population. - Journal of Animal Ecology 17: 15-26) <doi:10.2307/1605>.
License: GPL (>= 2)
URL: none
LazyLoad: yes
NeedsCompilation: no
Packaged: 2018-03-15 14:30:05 UTC; jpierre
Repository: CRAN
Date/Publication: 2018-03-16 12:00:42 UTC

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Package nngeo updated to version 0.1.5 with previous version 0.1.0 dated 2018-01-16

Title: k-Nearest Neighbor Join for Spatial Data
Description: K-nearest neighbor search for projected and non-projected 'sf' spatial layers. Nearest neighbor search uses (1) C implementation of the Vincenty Formula for lon-lat point layers, (2) function nn2() from package 'RANN' for projected point layers, or (3) function st_distance() from package 'sf' for line or polygon layers.
Author: Michael Dorman [aut, cre], Jan Antala [ctb]
Maintainer: Michael Dorman <dorman@post.bgu.ac.il>

Diff between nngeo versions 0.1.0 dated 2018-01-16 and 0.1.5 dated 2018-03-16

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New package NetworkExtinction with initial version 0.1.0
Package: NetworkExtinction
Type: Package
Title: Extinction Simulation in Food Webs
Version: 0.1.0
Authors@R: c(person("Derek", "Corcoran", email = "derek.corcoran.barrios@gmail.com", role = c("aut", "cre")), person("M.Isidora", "Avila Thieme", email = "msavila@uc.cl ", role = c("aut")), person("Pablo A.", "Marquet", role = c("aut")), person("Sergio A.", "Navarrete", role = c("aut")), person("Fernanda S.", "Valdovinos", role = c("aut")))
Maintainer: Derek Corcoran <derek.corcoran.barrios@gmail.com>
Description: Simulates the extinction of species in the food web and it analyzes its cascading effects, described in Dunne et al. (2002) <doi:10.1073/pnas.192407699>.
URL: https://derek-corcoran-barrios.github.io/VignetteNetworkExt.html
Depends: R (>= 2.10)
Imports: broom, dplyr, ggplot2, magrittr, network, scales, sna, stats, tidyr
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-03-16 10:39:53 UTC; derek
Author: Derek Corcoran [aut, cre], M.Isidora Avila Thieme [aut], Pablo A. Marquet [aut], Sergio A. Navarrete [aut], Fernanda S. Valdovinos [aut]
Repository: CRAN
Date/Publication: 2018-03-16 11:52:53 UTC

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Permanent link

Package hydroscoper updated to version 1.0.0 with previous version 0.1.0 dated 2017-12-22

Title: Interface to the Greek National Data Bank for Hydrometeorological Information
Description: R interface to the Greek National Data Bank for Hydrological and Meteorological Information <http://www.hydroscope.gr/>. It covers Hydroscope's data sources and provides functions to transliterate, translate and download them into tidy dataframes (tibbles).
Author: Konstantinos Vantas [aut, cre] (<https://orcid.org/0000-0001-6387-8791>), Sharla Gelfand [ctb, rev] (Sharla Gelfand reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/185), Tim Trice [rev] (Tim Trice reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/185)
Maintainer: Konstantinos Vantas <kon.vantas@gmail.com>

Diff between hydroscoper versions 0.1.0 dated 2017-12-22 and 1.0.0 dated 2018-03-16

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Package QRegVCM updated to version 1.2 with previous version 1.1 dated 2017-08-22

Title: Quantile Regression in Varying-Coefficient Models
Description: Quantile regression in varying-coefficient models (VCM) using one particular nonparametric technique called P-splines. The functions can be applied on three types of VCM; (1) Homoscedastic VCM, (2) Simple heteroscedastic VCM, and (3) General heteroscedastic VCM.
Author: 'Andriyana, Y.' [aut, cre], 'Ibrahim M. A.' [aut], 'Gijbels, I.' [ctb], 'Verhasselt A.' [ctb]
Maintainer: "Andriyana.Y" <y.andriyana@unpad.ac.id>

Diff between QRegVCM versions 1.1 dated 2017-08-22 and 1.2 dated 2018-03-16

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Package qle updated to version 0.17 with previous version 0.16-6 dated 2017-11-24

Title: Simulation-Based Quasi-Likelihood Estimation
Description: A simulation-based quasi-likelihood method (Baaske, M., Ballani, F., v.d. Boogaart, K.G. (2014) <doi:10.5566/ias.v33.p107-119>) for parameter estimation of parametric statistical models for which closed-form representations of distributional characteristics are unavailable and can only be obtained by computationally intensive simulations of the model.
Author: Markus Baaske [aut, cre, cph], K. Gerald van den Boogaart [ths]
Maintainer: Markus Baaske <markus.baaske@uni-jena.de>

Diff between qle versions 0.16-6 dated 2017-11-24 and 0.17 dated 2018-03-16

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Package BiDAG updated to version 1.1.1 with previous version 1.0.2 dated 2017-09-08

Title: Bayesian Inference for Directed Acyclic Graphs (BiDAG)
Description: Implementation of a collection of MCMC methods for Bayesian structure learning of directed acyclic graphs (DAGs), both from continuous and discrete data. For efficient inference on larger DAGs, the space of DAGs is pruned according to the data. To filter the search space, the algorithm employs a hybrid approach, combining constraint-based learning with search and score. A reduced search space is initially defined on the basis of a skeleton obtained by means of the PC-algorithm, and then iteratively improved with search and score. Search and score is then performed following two approaches: Order MCMC, or Partition MCMC. The BGe score is implemented for continuous data and the BDe score is implemented for binary data. The algorithms may provide the maximum a posteriori (MAP) graph or a sample (a collection of DAGs) from the posterior distribution given the data. References: N. Friedman and D. Koller (2003) <doi:10.1023/A:1020249912095>, D. Geiger and D. Heckerman (2002) <doi:10.1214/aos/1035844981>, J. Kuipers and G. Moffa (2016) <doi:10.1080/01621459.2015.1133426>, M. Kalisch et al.(2012) <doi:10.18637/jss.v047.i11>.
Author: Polina Suter [aut, cre], Jack Kuipers [aut]
Maintainer: Polina Suter <polina.minkina@bsse.ethz.ch>

Diff between BiDAG versions 1.0.2 dated 2017-09-08 and 1.1.1 dated 2018-03-16

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New package airGRteaching with initial version 0.2.0.9
Package: airGRteaching
Type: Package
Title: Teaching Hydrological Modelling with the GR Rainfall-Runoff Models ('Shiny' Interface Included)”
Version: 0.2.0.9
Date: 2018-03-15
Authors@R: c(person("Olivier", "Delaigue", role = c("aut", "cre"), email = "airGR@irstea.fr"), person("Laurent", "Coron", role = c("aut")), person("Pierre", "Brigode", role = c("aut")), person("Guillaume", "Thirel", role = c("ctb")))
Depends: airGR (>= 1.0.9.43)
Imports: dygraphs (>= 1.1.1.4), htmlwidgets (>= 1.0), markdown, plotrix, shiny, shinyjs, xts
Description: Add-on package to the 'airGR' package that simplifies its use and is aimed at being used for teaching hydrology. The package provides 1) three functions that allow to complete very simply a hydrological modelling exercise 2) plotting functions to help students to explore observed data and to interpret the results of calibration and simulation of the GR ('Génie rural') models 3) a 'Shiny' graphical interface that allows for displaying the impact of model parameters on hydrographs and models internal variables.
License: GPL-2
NeedsCompilation: no
URL: https://webgr.irstea.fr/en/airGR/
Encoding: UTF-8
Packaged: 2018-03-16 07:30:02 UTC; olivier.delaigue
Author: Olivier Delaigue [aut, cre], Laurent Coron [aut], Pierre Brigode [aut], Guillaume Thirel [ctb]
Maintainer: Olivier Delaigue <airGR@irstea.fr>
Repository: CRAN
Date/Publication: 2018-03-16 10:20:43 UTC

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New package rMEA with initial version 1.0.0
Package: rMEA
Type: Package
Title: Synchrony in Motion Energy Analysis (MEA) Time-Series
Version: 1.0.0
Date: 2018-03-14
Author: Johann R. Kleinbub, Fabian Ramseyer
Maintainer: Johann R. Kleinbub <johann.kleinbub@gmail.com>
Description: A suite of tools useful to read, visualize and export bivariate motion energy time-series. Lagged synchrony between subjects can be analyzed through windowed cross-correlation. Surrogate data generation allows an estimation of pseudosynchrony that helps to estimate the effect size of the observed synchronization. Ramseyer & Tschacher (2011) <doi:10.1037/a0023419>.
URL: http://www.psync.ch
Imports: grDevices, graphics, methods, stats, utils
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-03-15 21:19:22 UTC; kleinbub
Repository: CRAN
Date/Publication: 2018-03-16 09:35:56 UTC

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New package PINSPlus with initial version 1.0.0
Package: PINSPlus
Type: Package
Title: Perturbation Clustering for Data Integration and Disease Subtyping
Version: 1.0.0
Date: 2018-03-01
Author: Hung Nguyen <hungnp@nevada.unr.edu>, Sangam Shrestha <sangam@nevada.unr.edu> and Tin Nguyen <tinn@unr.edu>
Maintainer: Hung Nguyen <hungnp@nevada.unr.edu>
Description: Clustering algorithm for determining the number of clusters and location of each sample in the clusters. Perturbation clustering for data INtegration and disease Subtyping (PINS - Nguyen T, Tagett R, Diaz D, Draghici S (2017) <doi:10.1101/gr.215129.116>) is a novel approach for integration of data and classification of diseases into various subtypes. PINS supports both single and multiple data types. 'PINSPlus' is designed to be user-friendly and primarily makes use of two main functions. 'PINSPlus' fasten PINS algorithm by supporting parallel processing and using efficient stopping criteria.
License: GPL
Depends: R (>= 2.10), cluster, entropy, parallel, pbmcapply, doParallel
Imports: foreach
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-03-15 21:34:03 UTC; bya
Suggests: knitr, rmarkdown, survival
VignetteBuilder: knitr
Repository: CRAN
Date/Publication: 2018-03-16 09:39:48 UTC

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New package mlbstats with initial version 0.1.0
Package: mlbstats
Type: Package
Title: Major League Baseball Player Statistics Calculator
Version: 0.1.0
Author: Philip D. Waggoner <philip.waggoner@gmail.com>
Maintainer: Philip D. Waggoner <philip.waggoner@gmail.com>
Description: Computational functions for player metrics in major league baseball including batting, pitching, fielding, base-running, and overall player statistics. This package is actively maintained with new metrics being added as they are developed.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-03-15 17:34:46 UTC; bpwaggo
Repository: CRAN
Date/Publication: 2018-03-16 09:15:57 UTC

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Package MetaLandSim updated to version 1.0.3 with previous version 1.0.2 dated 2018-03-12

Title: Landscape and Range Expansion Simulation
Description: Tools to generate random landscape graphs, evaluate species occurrence in dynamic landscapes, simulate future landscape occupation and evaluate range expansion when new empty patches are available (e.g. as a result of climate change).
Author: Frederico Mestre, Fernando Canovas, Benjamin Risk, Ricardo Pita, Antonio Mira, Pedro Beja.
Maintainer: Frederico Mestre <mestre.frederico@gmail.com>

Diff between MetaLandSim versions 1.0.2 dated 2018-03-12 and 1.0.3 dated 2018-03-16

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Package MCDA updated to version 0.0.19 with previous version 0.0.18 dated 2017-12-20

Title: Functions to Support the Multicriteria Decision Aiding Process
Description: Functions which can be useful to support the analyst in the Multicriteria Decision Aiding (MCDA) process involving multiple, conflicting criteria.
Author: Patrick Meyer, Sébastien Bigaret, Richard Hodgett, Alexandru-Liviu Olteanu
Maintainer: Patrick Meyer <patrick.meyer@imt-atlantique.fr>

Diff between MCDA versions 0.0.18 dated 2017-12-20 and 0.0.19 dated 2018-03-16

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New package dkanr with initial version 0.1.0
Package: dkanr
Title: Client for the 'DKAN' API
Version: 0.1.0
Authors@R: c( person("Tony", "Fujs", role = c("aut", "cre"), email = "tonyfujs@gmail.com"), person("Meera", "Desai", role = "aut", email = "mbdesai@umich.edu"), person("Karthik", "Ramanathan", role = "aut", email = "drkarthi@umich.edu") )
Description: Provides functions to facilitate access to the 'DKAN' API (<https://dkan.readthedocs.io/en/latest/apis/index.html>), including the 'DKAN' REST API (metadata), and the 'DKAN' datastore API (data). Includes functions to list, create, retrieve, update, and delete datasets and resources nodes. It also includes functions to search and retrieve data from the 'DKAN' datastore.
License: MIT + file LICENSE
Depends: R (>= 3.2)
Imports: assertthat (>= 0.2.0), dplyr (>= 0.7.4), httr (>= 1.3.1), jsonlite (>= 1.5), purrr (>= 0.2.4), stringr (>= 1.2.0), tibble (>= 1.4.2)
Suggests: covr (>= 3.0.1), knitr (>= 1.19), rmarkdown (>= 1.8), testthat (>= 2.0.0), httptest
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-03-15 13:55:16 UTC; WB499754
Author: Tony Fujs [aut, cre], Meera Desai [aut], Karthik Ramanathan [aut]
Maintainer: Tony Fujs <tonyfujs@gmail.com>
Repository: CRAN
Date/Publication: 2018-03-16 09:42:55 UTC

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Package compound.Cox updated to version 3.9 with previous version 3.8 dated 2018-03-09

Title: Univariate Feature Selection and Compound Covariate for Predicting Survival
Description: Univariate feature selection and compound covariate methods under the Cox model with high-dimensional features (gene expressions). Available are survival data for non-small-cell lung cancer patients with gene expressions (Chen et al 2007 New Engl J Med) <DOI:10.1056/NEJMoa060096>, statistical methods in Emura et al (2012 PLoS ONE) <DOI:10.1371/journal.pone.0047627>, Emura & Chen (2016 Stat Methods Med Res) <DOI:10.1177/0962280214533378>, and Emura et al. (2018-)<submitted>. Algorithms for generating correlated gene expressions are also available.
Author: Takeshi Emura, Hsuan-Yu Chen, Shigeyuki Matsui, Yi-Hau Chen
Maintainer: Takeshi Emura <takeshiemura@gmail.com>

Diff between compound.Cox versions 3.8 dated 2018-03-09 and 3.9 dated 2018-03-16

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Package aphid updated to version 1.1.0 with previous version 1.0.1 dated 2017-07-08

Title: Analysis with Profile Hidden Markov Models
Description: Designed for the development and application of hidden Markov models and profile HMMs for biological sequence analysis. Contains functions for multiple and pairwise sequence alignment, model construction and parameter optimization, file import/export, implementation of the forward, backward and Viterbi algorithms for conditional sequence probabilities, tree-based sequence weighting, and sequence simulation. Features a wide variety of potential applications including database searching, gene-finding and annotation, phylogenetic analysis and sequence classification. Based on the models and algorithms described in Durbin et al (1998, ISBN: 9780521629713).
Author: Shaun Wilkinson [aut, cre]
Maintainer: Shaun Wilkinson <shaunpwilkinson@gmail.com>

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Package gsubfn updated to version 0.7 with previous version 0.6-6 dated 2014-08-27

Title: Utilities for Strings and Function Arguments
Description: The gsubfn function is like gsub but can take a replacement function or certain other objects instead of the replacement string. Matches and back references are input to the replacement function and replaced by the function output. gsubfn can be used to split strings based on content rather than delimiters and for quasi-perl-style string interpolation. The package also has facilities for translating formulas to functions and allowing such formulas in function calls instead of functions. This can be used with R functions such as apply, sapply, lapply, optim, integrate, xyplot, Filter and any other function that expects another function as an input argument or functions like cat or sql calls that may involve strings where substitution is desirable. There is also a facility for returning multiple objects from functions and a version of transform that allows the RHS to refer to LHS used in the same transform.
Author: G. Grothendieck
Maintainer: G. Grothendieck <ggrothendieck@gmail.com>

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Package glogis updated to version 1.0-1 with previous version 1.0-0 dated 2014-11-11

Title: Fitting and Testing Generalized Logistic Distributions
Description: Tools for the generalized logistic distribution (Type I, also known as skew-logistic distribution), encompassing basic distribution functions (p, q, d, r, score), maximum likelihood estimation, and structural change methods.
Author: Achim Zeileis [aut, cre] (<https://orcid.org/0000-0003-0918-3766>), Thomas Windberger [aut]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

Diff between glogis versions 1.0-0 dated 2014-11-11 and 1.0-1 dated 2018-03-16

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Package deltaPlotR updated to version 1.6 with previous version 1.5 dated 2014-11-20

Title: Identification of Dichotomous Differential Item Functioning (DIF) using Angoff's Delta Plot Method
Description: The deltaPlotR package implements Angoff's Delta Plot method to detect dichotomous DIF. Several detection thresholds are included, either from multivariate normality assumption or by prior determination. Item purification is supported (Magis and Facon (2014) <doi:10.18637/jss.v059.c01>).
Author: David Magis (U Liege), Bruno Facon (Univ Lille-Nord de France)
Maintainer: David Magis <david.magis@ulg.ac.be>

Diff between deltaPlotR versions 1.5 dated 2014-11-20 and 1.6 dated 2018-03-16

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Package bayesPop updated to version 6.2-4 with previous version 6.2-3 dated 2017-10-23

Title: Probabilistic Population Projection
Description: Generating population projections for all countries of the world using several probabilistic components, such as total fertility rate and life expectancy.
Author: Hana Sevcikova, Adrian Raftery, Thomas Buettner
Maintainer: Hana Sevcikova <hanas@uw.edu>

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Package MSbox updated to version 1.1 with previous version 1.0 dated 2017-09-27

Title: Mass Spectrometry Tools
Description: Common mass spectrometry tools described in John Roboz (2013) <doi:10.1201/b15436>. It allows checking element isotopes, calculating (isotope labelled) exact monoisitopic mass, m/z values and mass accuracy, and inspecting possible contaminant mass peaks, examining possible adducts in electrospray ionization (ESI) and matrix-assisted laser desorption ionization (MALDI) ion sources.
Author: Yonghui Dong
Maintainer: Yonghui Dong <yonghui.dong@gmail.com>

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Package beast updated to version 1.1 with previous version 1.0 dated 2017-11-29

Title: Bayesian Estimation of Change-Points in the Slope of Multivariate Time-Series
Description: Assume that a temporal process is composed of contiguous segments with differing slopes and replicated noise-corrupted time series measurements are observed. The unknown mean of the data generating process is modelled as a piecewise linear function of time with an unknown number of change-points. The package infers the joint posterior distribution of the number and position of change-points as well as the unknown mean parameters per time-series by MCMC sampling. A-priori, the proposed model uses an overfitting number of mean parameters but, conditionally on a set of change-points, only a subset of them influences the likelihood. An exponentially decreasing prior distribution on the number of change-points gives rise to a posterior distribution concentrating on sparse representations of the underlying sequence, but also available is the Poisson distribution. See Papastamoulis et al (2017) <arXiv:1709.06111> for a detailed presentation of the method.
Author: Panagiotis Papastamoulis
Maintainer: Panagiotis Papastamoulis <papapast@yahoo.gr>

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Package Bivariate.Pareto updated to version 1.0.1 with previous version 1.0.0 dated 2018-02-12

Title: Bivariate Pareto Models
Description: Perform competing risks analysis under bivariate Pareto models. See Shih et al. (2018) <doi:10.1080/03610926.2018.1425450> for details.
Author: Jia-Han Shih, Wei Lee
Maintainer: Jia-Han Shih <tommy355097@gmail.com>

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Package synbreed updated to version 0.12-9 with previous version 0.12-6 dated 2017-04-21

Title: Framework for the Analysis of Genomic Prediction Data using R
Description: A collection of functions required for genomic prediction which were developed within the Synbreed project for synergistic plant and animal breeding (<http://www.synbreed.tum.de>). This covers data processing, data visualization, and analysis. All functions are embedded within the framework of a single, unified data object. The implementation is flexible with respect to a wide range of data formats in plant and animal breeding. This research was funded by the German Federal Ministry of Education and Research (BMBF) within the AgroClustEr Synbreed - Synergistic plant and animal breeding (FKZ 0315528A).
Author: Hans-Juergen Auinger, Valentin Wimmer, Theresa Albrecht, Chris-Carolin Schoen with contributions by Larry Schaeffer, Malena Erbe, Ulrike Ober, Christian Reimer, Yvonne Badke and Peter VandeHaar
Maintainer: Hans-Juergen Auinger <auinger@tum.de>

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Package kmer updated to version 1.0.1 with previous version 1.0.0 dated 2018-03-06

Title: Fast K-Mer Counting and Clustering for Biological Sequence Analysis
Description: Contains tools for rapidly computing distance matrices and clustering large sequence datasets using fast alignment-free k-mer counting and recursive k-means partitioning. See Vinga and Almeida (2003) <doi:10.1093/bioinformatics/btg005> for a review of k-mer counting methods and applications for biological sequence analysis.
Author: Shaun Wilkinson [aut, cre]
Maintainer: Shaun Wilkinson <shaunpwilkinson@gmail.com>

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Package GD updated to version 1.3 with previous version 1.2 dated 2018-02-22

Title: Geographical Detectors
Description: Geographical detectors for measuring spatial stratified heterogeneity, as described in Jinfeng Wang (2010) <doi:10.1080/13658810802443457> and Jinfeng Wang (2016) <doi:10.1016/j.ecolind.2016.02.052>. Includes the discretization of continuous data and four primary functions of geographical detectors.
Author: Yongze Song [aut, cre] (<https://orcid.org/0000-0003-3420-9622>)
Maintainer: Yongze Song <yongze.song@postgrad.curtin.edu.au>

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