Tue, 10 Apr 2018

Package webdriver updated to version 1.0.5 with previous version 1.0.4 dated 2018-02-04

Title: 'WebDriver' Client for 'PhantomJS'
Description: A client for the 'WebDriver' 'API'. It allows driving a (probably headless) web browser, and can be used to test web applications, including 'Shiny' apps. In theory it works with any 'WebDriver' implementation, but it was only tested with 'PhantomJS'.
Author: Ariya Hidayat, Gábor Csárdi, Gabor Torok, Ivan De Marino, Robert Gieseke, Steven Masala, Winston Chang, Zack Weinberg
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

Diff between webdriver versions 1.0.4 dated 2018-02-04 and 1.0.5 dated 2018-04-10

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Package callr updated to version 2.0.3 with previous version 2.0.2 dated 2018-02-11

Title: Call R from R
Description: It is sometimes useful to perform a computation in a separate R process, without affecting the current R process at all. This packages does exactly that.
Author: Gábor Csárdi, Winston Chang
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

Diff between callr versions 2.0.2 dated 2018-02-11 and 2.0.3 dated 2018-04-10

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Package ncf updated to version 1.2-2 with previous version 1.2-1 dated 2018-03-14

Title: Spatial Nonparametric Covariance Functions
Description: R functions for analyzing spatial (cross-)covariance: the nonparametric (cross-)covariance, the spline correlogram, the nonparametric phase coherence function, and related.
Author: Ottar N. Bjornstad [aut, cre]
Maintainer: Ottar N. Bjornstad <onb1@psu.edu>

Diff between ncf versions 1.2-1 dated 2018-03-14 and 1.2-2 dated 2018-04-10

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Package mcglm updated to version 0.4.0 with previous version 0.3.0 dated 2016-06-13

Title: Multivariate Covariance Generalized Linear Models
Description: Fitting multivariate covariance generalized linear models (McGLMs) to data. McGLM is a general framework for non-normal multivariate data analysis, designed to handle multivariate response variables, along with a wide range of temporal and spatial correlation structures defined in terms of a covariance link function combined with a matrix linear predictor involving known matrices. The models take non-normality into account in the conventional way by means of a variance function, and the mean structure is modelled by means of a link function and a linear predictor. The models are fitted using an efficient Newton scoring algorithm based on quasi-likelihood and Pearson estimating functions, using only second-moment assumptions. This provides a unified approach to a wide variety of different types of response variables and covariance structures, including multivariate extensions of repeated measures, time series, longitudinal, spatial and spatio-temporal structures. The package offers a user-friendly interface for fitting McGLMs similar to the glm() R function. See Bonat (2018) <doi:10.18637/jss.v084.i04>, for more information and examples.
Author: Wagner Hugo Bonat [aut, cre], Walmes Marques Zeviani [ctb], Fernando de Pol Mayer [ctb]
Maintainer: Wagner Hugo Bonat <wbonat@ufpr.br>

Diff between mcglm versions 0.3.0 dated 2016-06-13 and 0.4.0 dated 2018-04-10

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Package SGPdata updated to version 20.0-0.0 with previous version 17.0-0.0 dated 2017-04-13

Title: Exemplar Data Sets for Student Growth Percentiles (SGP) Analyses
Description: Data sets utilized by the 'SGP' package as exemplars for users to conduct their own student growth percentiles (SGP) analyses.
Author: Damian W. Betebenner [aut, cre], Adam R. Van Iwaarden [aut], Ben Domingue [aut]
Maintainer: Damian W. Betebenner <dbetebenner@nciea.org>

Diff between SGPdata versions 17.0-0.0 dated 2017-04-13 and 20.0-0.0 dated 2018-04-10

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Package rmapzen updated to version 0.3.4 with previous version 0.3.3 dated 2017-08-12

Title: Client for 'Mapzen' and Related Map APIs
Description: Provides an interface to 'Mapzen'-based APIs (including geocode.earth, Nextzen, and NYC GeoSearch) for geographic search and geocoding, isochrone calculation, and vector data to draw map tiles. See <https://mapzen.com/documentation/> for more information. The original Mapzen has gone out of business, but 'rmapzen' can be set up to work with any provider who implements the Mapzen API.
Author: Tarak Shah [aut, cre], Daniel Possenriede [ctb]
Maintainer: Tarak Shah <tarak_shah@berkeley.edu>

Diff between rmapzen versions 0.3.3 dated 2017-08-12 and 0.3.4 dated 2018-04-10

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Package netregR updated to version 0.3.0 with previous version 0.1.0 dated 2018-04-06

Title: Regression of Network Responses
Description: Regress network responses (both directed and undirected) onto covariates of interest that may be actor-, relation-, or network-valued. In addition, compute principled variance estimates of the coefficients assuming that the errors are jointly exchangeable. Missing data is accommodated. Additionally implements building and inversion of covariance matrices under joint exchangeability, and generates random covariance matrices of this class. For more detail on methods, see Marrs, Fosdick, and McCormick (2017) <arXiv:1701.05530>.
Author: Frank W. Marrs [aut, cre], Bailey K. Fosdick [aut], Tyler H. McCormick [aut]
Maintainer: Frank W. Marrs <frank.marrs@colostate.edu>

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Permanent link

Package thgenetics updated to version 0.4-0 with previous version 0.3-4.1 dated 2016-07-10

Title: Genetic Rare Variants Tests
Description: Tests for genetic rare variants.
Author: Thomas Hoffmann <tjhoffm@gmail.com>
Maintainer: Thomas Hoffmann <tjhoffm@gmail.com>

Diff between thgenetics versions 0.3-4.1 dated 2016-07-10 and 0.4-0 dated 2018-04-10

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Permanent link

Package nVennR updated to version 0.2.0 with previous version 0.1.5 dated 2018-03-23

Title: Create n-Dimensional, Quasi-Proportional Venn Diagrams
Description: Provides an interface for the nVenn algorithm (Perez-Silva et al. 2018) <DOI:10.1093/bioinformatics/bty109>. This algorithm works for any number of sets, and usually yields pleasing and informative Venn diagrams with proportionality information. However, representing more than six sets takes a long time and is hard to interpret, unless many of the regions are empty. If you cannot make sense of the result, you may want to consider 'UpSetR' <https://cran.r-project.org/package=UpSetR/README.html>.
Author: Victor Quesada [aut, cre, cph]
Maintainer: Victor Quesada <quesadavictor@uniovi.es>

Diff between nVennR versions 0.1.5 dated 2018-03-23 and 0.2.0 dated 2018-04-10

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Package hergm updated to version 3.1-2 with previous version 3.1-1 dated 2018-03-14

Title: Hierarchical Exponential-Family Random Graph Models
Description: Hierarchical exponential-family random graph models with local dependence.
Author: Michael Schweinberger <michael.schweinberger@rice.edu> [aut, cre], Mark S. Handcock <handcock@ucla.edu> [ctb], Pamela Luna <pamela.luna@rice.edu> [ctb]
Maintainer: Michael Schweinberger <michael.schweinberger@rice.edu>

Diff between hergm versions 3.1-1 dated 2018-03-14 and 3.1-2 dated 2018-04-10

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New package mlf with initial version 1.2
Package: mlf
Type: Package
Title: Machine Learning Foundations
Version: 1.2
Date: 2018-03-30
Authors@R: c(person("Kyle", "Peterson", email = "petersonkdon@gmail.com", role = c("aut", "cre")))
Maintainer: Kyle Peterson <petersonkdon@gmail.com>
Description: Offers a gentle introduction to machine learning concepts for practitioners with a statistical pedigree: decomposition of model error (bias-variance trade-off), nonlinear correlations, information theory and functional permutation/bootstrap simulations. Székely GJ, Rizzo ML, Bakirov NK. (2007). <doi:10.1214/009053607000000505>. Reshef DN, Reshef YA, Finucane HK, Grossman SR, McVean G, Turnbaugh PJ, Lander ES, Mitzenmacher M, Sabeti PC. (2011). <doi:10.1126/science.1205438>.
Imports: stats, utils
URL: http://mlf-project.us/
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-04-10 14:57:37 UTC; Admin
Author: Kyle Peterson [aut, cre]
Repository: CRAN
Date/Publication: 2018-04-10 17:09:12 UTC

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New package cbinom with initial version 0.0.0
Package: cbinom
Type: Package
Title: Continuous Analog of a Binomial Distribution
Version: 0.0.0
Date: 2018-04-02
Author: Dan Dalthorp
Maintainer: Dan Dalthorp <ddalthorp@usgs.gov>
Description: Implementation of the d/p/q/r family of functions for a continuous analog to the standard discrete binomial with continuous size parameter and continuous support with x in [0, size + 1], following Ilienko (2013) <arXiv:1303.5990>.
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.0)
LinkingTo: Rcpp
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2018-04-10 15:26:19 UTC; ddalthorp
Repository: CRAN
Date/Publication: 2018-04-10 17:16:38 UTC

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Package philentropy updated to version 0.1.0 with previous version 0.0.3 dated 2017-05-08

Title: Similarity and Distance Quantification Between Probability Functions
Description: Computes 46 optimized distance and similarity measures for comparing probability functions. These comparisons between probability functions have their foundations in a broad range of scientific disciplines from mathematics to ecology. The aim of this package is to provide a core framework for clustering, classification, statistical inference, goodness-of-fit, non-parametric statistics, information theory, and machine learning tasks that are based on comparing univariate or multivariate probability functions.
Author: Hajk-Georg Drost [aut, cre] (<https://orcid.org/0000-0002-1567-306X>)
Maintainer: Hajk-Georg Drost <hgd23@cam.ac.uk>

Diff between philentropy versions 0.0.3 dated 2017-05-08 and 0.1.0 dated 2018-04-10

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Package inlmisc updated to version 0.4.0 with previous version 0.3.5 dated 2017-10-28

Title: Miscellaneous Functions for the USGS INL Project Office
Description: A collection of functions for creating high-level graphics, performing raster-based analysis, processing MODFLOW-based models, subset selection using a genetic algorithm, etc. Used to support packages and scripts written by researchers at the United States Geological Survey (USGS) Idaho National Laboratory (INL) Project Office.
Author: Jason C. Fisher [aut, cre] (<https://orcid.org/0000-0001-9032-8912>)
Maintainer: Jason C. Fisher <jfisher@usgs.gov>

Diff between inlmisc versions 0.3.5 dated 2017-10-28 and 0.4.0 dated 2018-04-10

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Package swmmr updated to version 0.8.1 with previous version 0.8.0 dated 2018-03-08

Title: R Interface for US EPA's SWMM
Description: Functions to connect the widely used Storm Water Management Model (SWMM) of the United States Environmental Protection Agency (US EPA) <https://www.epa.gov/water-research/storm-water-management-model-swmm> to R with currently two main goals: (1) Run a SWMM simulation from R and (2) provide fast access to simulation results, i.e. SWMM's binary '.out'-files. High performance is achieved with help of Rcpp. Additionally, reading SWMM's '.inp' and '.rpt' files is supported to glance model structures and to get direct access to simulation summaries.
Author: Dominik Leutnant [aut, cre] (<https://orcid.org/0000-0003-3293-2315>), Anneke Doering [aut]
Maintainer: Dominik Leutnant <leutnant@fh-muenster.de>

Diff between swmmr versions 0.8.0 dated 2018-03-08 and 0.8.1 dated 2018-04-10

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Package BOIN updated to version 2.6.3 with previous version 2.6.2 dated 2018-03-27

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 2.6.2 dated 2018-03-27 and 2.6.3 dated 2018-04-10

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Package KnowBR updated to version 1.7 with previous version 1.6 dated 2018-03-12

Title: Discriminating Well Surveyed Spatial Units from Exhaustive Biodiversity Databases
Description: It uses species accumulation curves and diverse estimators to assess, at the same time, the levels of survey coverage in multiple geographic cells of a size defined by the user or polygons. It also enables the geographical depiction of observed species richness, survey effort and completeness values including a background with administrative areas.
Author: Cástor Guisande González and Jorge M. Lobo
Maintainer: Cástor Guisande González <castor@uvigo.es>

Diff between KnowBR versions 1.6 dated 2018-03-12 and 1.7 dated 2018-04-10

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New package RSAlgaeR with initial version 1.0.0
Package: RSAlgaeR
Type: Package
Title: Builds Empirical Remote Sensing Models of Water Quality Variables and Analyzes Long-Term Trends
Version: 1.0.0
Author: Carly Hansen
Maintainer: Carly Hansen <carlyahansen@gmail.com>
Description: Assists in processing reflectance data, developing empirical models using stepwise regression and a generalized linear modeling approach, cross- validation, and analysis of trends in water quality conditions (specifically chl-a) and climate conditions using the Theil-Sen estimator.
License: GPL-2
Encoding: UTF-8
URL: http://github.com/cahhansen/RSAlgae
BugReports: https://github.com/cahhansen/RSAlgae/issues
LazyData: TRUE
RoxygenNote: 6.0.1
Depends: R (>= 2.10)
Imports: plyr,lubridate,ggplot2,hydroGOF,stats,cvTools,mblm,graphics,utils
NeedsCompilation: no
Packaged: 2018-04-10 02:25:47 UTC; carly
Repository: CRAN
Date/Publication: 2018-04-10 13:14:47 UTC

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Package mycor updated to version 0.1.1 with previous version 0.1 dated 2014-10-02

Title: Automatic Correlation and Regression Test in a 'data.frame'
Description: Perform correlation and linear regression test among the numeric fields in a data.frame automatically and make plots using pairs or lattice::parallelplot.
Author: Keon-Woong Moon [aut, cre]
Maintainer: Keon-Woong Moon <cardiomoon@gmail.com>

Diff between mycor versions 0.1 dated 2014-10-02 and 0.1.1 dated 2018-04-10

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New package mispr with initial version 1.0.0
Package: mispr
Type: Package
Title: Multiple Imputation with Sequential Penalized Regression
Version: 1.0.0
Author: Faisal Maqbool Zahid
Maintainer: Faisal Maqbool Zahid <faisalmz99@yahoo.com>
Description: Generates multivariate imputations using sequential regression with L2 penalty. For more details see Zahid and Heumann (2018) <doi:10.1177/0962280218755574>.
Depends: R (>= 3.3.0)
Imports: e1071, MASS, penalized, stats
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-04-10 07:14:43 UTC; ramzan
Repository: CRAN
Date/Publication: 2018-04-10 13:24:44 UTC

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New package MarginalMediation with initial version 0.5.1
Package: MarginalMediation
Title: Marginal Mediation
Version: 0.5.1
Authors@R: c(person(c("Tyson", "S"), "Barrett", email = "t.barrett@aggiemail.usu.edu", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-2137-1391")), person("Angelo", "Canty", role = c("ctb"), comment = "S original bootstrap method, http://statwww.epfl.ch/davison/BMA/library.html"), person(c("Brian", "D."), "Ripley", role = c("ctb"), comment = "R port, bootstrap method", email = "ripley@stats.ox.ac.uk"), person("Thomas", "Leeper", role = c("ctb"), comment = "Vectorized marginal effects, https://thomasleeper.com/software.html"))
Description: Provides the ability to perform "Marginal Mediation"--mediation wherein the indirect and direct effects are in terms of the average marginal effects (Bartus, 2005, <https://EconPapers.repec.org/RePEc:tsj:stataj:v:5:y:2005:i:3:p:309-329>). The style of the average marginal effects stems from Thomas Leeper's work on the "margins" package. This framework allows the use of categorical mediators and outcomes with little change in interpretation from the continuous mediators/outcomes. See <doi:10.13140/RG.2.2.18465.92001> for more details on the method (peer reviewed articles forthcoming).
Imports: stats, magrittr, boot, purrr
Suggests: testthat, knitr, rmarkdown, furniture, margins
VignetteBuilder: knitr
Encoding: UTF-8
License: GPL-2
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-04-09 23:14:27 UTC; tyson
Author: Tyson S Barrett [aut, cre] (<https://orcid.org/0000-0002-2137-1391>), Angelo Canty [ctb] (S original bootstrap method, http://statwww.epfl.ch/davison/BMA/library.html), Brian D. Ripley [ctb] (R port, bootstrap method), Thomas Leeper [ctb] (Vectorized marginal effects, https://thomasleeper.com/software.html)
Maintainer: Tyson S Barrett <t.barrett@aggiemail.usu.edu>
Repository: CRAN
Date/Publication: 2018-04-10 13:08:02 UTC

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Package landsepi updated to version 0.0.4 with previous version 0.0.3 dated 2018-04-09

Title: Landscape Epidemiology and Evolution
Description: A spatio-temporal stochastic model to assess resistance deployment strategies against plant pathogens. The model is based on stochastic geometry for describing the landscape and the resistant hosts, a dispersal kernel for the dissemination of the pathogen, and a SEIR (Susceptible-Exposed-Infectious-Removed) architecture to simulate plant response to disease. Loup Rimbaud, Julien Papaïx, Jean-François Rey, Luke G Barrett, Peter H Thrall (2018) <doi:10.1101/260836>.
Author: Loup Rimbaud [aut], Julien Papaix [aut], Jean-Francois Rey [cre]
Maintainer: Jean-Francois Rey <jean-francois.rey@inra.fr>

Diff between landsepi versions 0.0.3 dated 2018-04-09 and 0.0.4 dated 2018-04-10

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New package GLMsData with initial version 1.0.0
Package: GLMsData
Version: 1.0.0
Date: 2018-04-10
Title: Generalized Linear Model Data Sets
Description: Data sets from the book Generalized Linear Models with Examples in R by Dunn and Smyth.
Author: Peter K. Dunn [cre,aut], Gordon K. Smyth [aut]
Maintainer: Peter K. Dunn <pdunn2@usc.edu.au>
License: GPL (>= 2)
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-04-10 06:25:09 UTC; pdunn2
Repository: CRAN
Date/Publication: 2018-04-10 13:22:54 UTC

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New package fluoSurv with initial version 1.0.0
Package: fluoSurv
Type: Package
Title: Estimate Insect Survival from Fluorescence Data
Version: 1.0.0
Author: Jean-Baptiste Ferdy <jean-baptiste.ferdy@univ-tlse3.fr>
Maintainer: Jean-Baptiste Ferdy <jean-baptiste.ferdy@univ-tlse3.fr>
Description: Use spectrophotometry measurements performed on insects as a way to infer pathogens virulence. Insect movements cause fluctuations in fluorescence signal, and functions are provided to estimate when the insect has died as the moment when variance in autofluorescence signal drops to zero. The package provides functions to obtain this estimate together with functions to import spectrophotometry data from a Biotek microplate reader. Details of the method are given in Parthuisot et al. (2018) <doi:10.1101/297929>.
Depends: R (>= 3.1.0)
Suggests: survival
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-04-10 11:57:15 UTC; jbf
Repository: CRAN
Date/Publication: 2018-04-10 13:41:28 UTC

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Package FeatureHashing updated to version 0.9.1.3 with previous version 0.9.1.1 dated 2015-10-17

Title: Creates a Model Matrix via Feature Hashing with a Formula Interface
Description: Feature hashing, also called as the hashing trick, is a method to transform features of a instance to a vector. Thus, it is a method to transform a real dataset to a matrix. Without looking up the indices in an associative array, it applies a hash function to the features and uses their hash values as indices directly. The method of feature hashing in this package was proposed in Weinberger et al. (2009) <arXiv:0902.2206>. The hashing algorithm is the murmurhash3 from the 'digest' package. Please see the README in <https://github.com/wush978/FeatureHashing> for more information.
Author: Wush Wu [aut, cre], Michael Benesty [aut, ctb]
Maintainer: Wush Wu <wush978@gmail.com>

Diff between FeatureHashing versions 0.9.1.1 dated 2015-10-17 and 0.9.1.3 dated 2018-04-10

 FeatureHashing |only
 1 file changed

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New package BreedingSchemeLanguage with initial version 0.9.4
Package: BreedingSchemeLanguage
Type: Package
Title: Describe and Simulate Breeding Schemes
Version: 0.9.4
Date: 2018-03-27
Authors@R: c( person("Shiori", "Yabe", email="syabe@affrc.go.jp", role="aut"), person("Jean-Luc", "Jannink", email="jeanluc.work@gmail.com", role=c("aut", "cre")), person("Hiroyoshi", "Iwata", email="aiwata@mail.ecc.u-tokyo.ac.jp", role=c("aut", "ctb")), person("Liang", "Liming", role="cph", comment="Copyright holder of GENOME software. See ./COPYRIGHTS"), person("Abecasis", "Goncalo", role="cph", comment="Copyright holder of GENOME software. See ./COPYRIGHTS"), person("Nishimura", "Takuji", role="cph", comment="Copyright holder of Mersenne Twister code. See ./COPYRIGHTS"), person("Matsumoto", "Makoto", role="cph", comment="Copyright holder of Mersenne Twister code. See ./COPYRIGHTS") )
Maintainer: Jean-Luc Jannink <jeanluc.work@gmail.com>
Description: Users can simulate their planned breeding schemes by using functions that do standard breeding tasks. Yabe, Iwata, & Jannink (2017) <doi:10.2135/cropsci2016.06.0538>.
License: GPL-3
Depends: R (>= 3.0.0)
Imports: Rcpp, snowfall, stats, ggplot2, lme4, rrBLUP, Matrix,
LinkingTo: Rcpp
LazyLoad: yes
VignetteBuilder: knitr
Suggests: knitr, rmarkdown
NeedsCompilation: yes
RoxygenNote: 6.0.1
Packaged: 2018-04-09 23:05:47 UTC; jj332
Author: Shiori Yabe [aut], Jean-Luc Jannink [aut, cre], Hiroyoshi Iwata [aut, ctb], Liang Liming [cph] (Copyright holder of GENOME software. See ./COPYRIGHTS), Abecasis Goncalo [cph] (Copyright holder of GENOME software. See ./COPYRIGHTS), Nishimura Takuji [cph] (Copyright holder of Mersenne Twister code. See ./COPYRIGHTS), Matsumoto Makoto [cph] (Copyright holder of Mersenne Twister code. See ./COPYRIGHTS)
Repository: CRAN
Date/Publication: 2018-04-10 13:11:17 UTC

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Package WDI updated to version 2.5 with previous version 2.4 dated 2013-08-20

Title: World Development Indicators (World Bank)
Description: Search, extract and format data from the World Bank's World Development Indicators.
Author: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>

Diff between WDI versions 2.4 dated 2013-08-20 and 2.5 dated 2018-04-10

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 WDI-2.5/WDI/R/WDI-package.R     |   12 ++++----
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New package rapidjsonr with initial version 1.0.0
Package: rapidjsonr
Type: Package
Title: 'Rapidjson' C++ Header Files
Version: 1.0.0
Date: 2018-04-09
Authors@R: c( person("David", "Cooley", ,"dcooley@symbolix.com.au", role = c("aut", "cre")), person("Milo", "Yip", , role = "ctb", comment = "Author of c++ rapidjson library, provided through THL A29 Limited, a Tencent company"), person("Alexander", "Chemeris", role = "ctb", comment = "Author of c++ msinttypes library") )
Description: Provides JSON parsing capability through the 'Rapidjson' 'C++' header-only library.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
SystemRequirements: GNU make
NeedsCompilation: no
Packaged: 2018-04-09 21:54:01 UTC; david
Author: David Cooley [aut, cre], Milo Yip [ctb] (Author of c++ rapidjson library, provided through THL A29 Limited, a Tencent company), Alexander Chemeris [ctb] (Author of c++ msinttypes library)
Maintainer: David Cooley <dcooley@symbolix.com.au>
Repository: CRAN
Date/Publication: 2018-04-10 12:49:15 UTC

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Package nmw updated to version 0.1.4 with previous version 0.1.2 dated 2017-10-20

Title: Understanding Nonlinear Mixed Effects Modeling for Population Pharmacokinetics
Description: This shows how NONMEM(R) <http://www.iconplc.com/innovation/nonmem/> software works. NONMEM's classical estimation methods like 'First Order(FO) approximation', 'First Order Conditional Estimation(FOCE)', and 'Laplacian approximation' are explained.
Author: Kyun-Seop Bae
Maintainer: Kyun-Seop Bae <k@acr.kr>

Diff between nmw versions 0.1.2 dated 2017-10-20 and 0.1.4 dated 2018-04-10

 DESCRIPTION                    |   10 
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Package ncar updated to version 0.3.8 with previous version 0.3.7 dated 2017-08-15

Title: Noncompartmental Analysis for Pharmacokinetic Report
Description: Conduct a noncompartmental analysis as closely as possible to the most widely used commercial software for pharmacokinetic analysis, i.e. 'Phoenix(R) WinNonlin(R)' <https://www.certara.com/software/pkpd-modeling-and-simulation/phoenix-winnonlin/>. Some features are 1) CDISC SDTM terms 2) Automatic slope selection with the same criterion of WinNonlin(R) 3) Supporting both 'linear-up linear-down' and 'linear-up log-down' method 4) Interval(partial) AUCs with 'linear' or 'log' interpolation method 5) Produce pdf, rtf, text report files. * Reference: Gabrielsson J, Weiner D. Pharmacokinetic and Pharmacodynamic Data Analysis - Concepts and Applications. 5th ed. 2016. (ISBN:9198299107).
Author: Kyun-Seop Bae [aut]
Maintainer: Kyun-Seop Bae <k@acr.kr>

Diff between ncar versions 0.3.7 dated 2017-08-15 and 0.3.8 dated 2018-04-10

 DESCRIPTION              |   10 +++++-----
 MD5                      |    6 +++---
 inst/NEWS.Rd             |    5 +++++
 inst/doc/ncar-manual.pdf |binary
 4 files changed, 13 insertions(+), 8 deletions(-)

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New package mknapsack with initial version 0.1.0
Package: mknapsack
Type: Package
Title: Multiple Knapsack Problem Solver
Version: 0.1.0
Authors@R: c( person("Bulat", "Yapparov", email = "bulat.yapparov@made.com", role = c("aut", "cre")), person("MADE.com", role = "cph") )
Description: Package solves multiple knapsack optimisation problem. Given a set of items, each with volume and value, it will allocate them to knapsacks of a given size in a way that value of top N knapsacks is as large as possible.
License: GPL-2
URL: https://github.com/madedotcom/mknapsack
BugReports: https://github.com/madedotcom/mknapsack/issues
Encoding: UTF-8
LazyData: true
Suggests: testthat, mockery, Rglpk, ROI, ROI.plugin.glpk
Imports: assertthat, data.table, lpSolve
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-04-09 21:20:40 UTC; byapparov
Author: Bulat Yapparov [aut, cre], MADE.com [cph]
Maintainer: Bulat Yapparov <bulat.yapparov@made.com>
Repository: CRAN
Date/Publication: 2018-04-10 12:45:53 UTC

More information about mknapsack at CRAN
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New package malariaAtlas with initial version 0.0.1
Package: malariaAtlas
Title: An R Interface to Open-Access Malaria Data, Hosted by the 'Malaria Atlas Project'
Version: 0.0.1
Authors@R: c( person("Daniel", "Pfeffer", email = "daniel.pfeffer@uqconnect.edu.au", role = c("aut"), comment = c(ORCID = "0000-0002-2204-3488")), person("Tim", "Lucas", email = "timcdlucas@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-4694-8107")), person("Daniel", "May", role = c("aut"), comment = c(ORCID = "0000-0003-0005-2452")), person("Jen", "Rozier", role = c("aut"), comment = c(ORCID = "0000-0002-2610-7557")), person("Harry", "Gibson", role = c("aut"), comment = c(ORCID = "0000-0001-6779-3250")), person("Nick", "Golding", role = c("ctb")), person("David", "Smith", role = c("ctb")))
Description: A suite of tools to allow you to download all publicly available parasite rate survey points and raster surfaces from the 'Malaria Atlas Project' <https://map.ox.ac.uk/> servers as well as utility functions for plotting the downloaded data.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: curl, rgdal, raster, sp, xml2, grid, gridExtra, httr, dplyr, stringi, tidyr, methods, stats, utils
Depends: ggplot2
RoxygenNote: 6.0.1
Suggests: testthat, knitr, rmarkdown, palettetown, tibble
URL: https://github.com/malaria-atlas-project/malariaAtlas
BugReports: https://github.com/malaria-atlas-project/malariaAtlas/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-04-09 21:23:19 UTC; whgu0708
Author: Daniel Pfeffer [aut] (<https://orcid.org/0000-0002-2204-3488>), Tim Lucas [aut, cre] (<https://orcid.org/0000-0003-4694-8107>), Daniel May [aut] (<https://orcid.org/0000-0003-0005-2452>), Jen Rozier [aut] (<https://orcid.org/0000-0002-2610-7557>), Harry Gibson [aut] (<https://orcid.org/0000-0001-6779-3250>), Nick Golding [ctb], David Smith [ctb]
Maintainer: Tim Lucas <timcdlucas@gmail.com>
Repository: CRAN
Date/Publication: 2018-04-10 12:56:08 UTC

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New package EcoNetGen with initial version 0.1.1
Package: EcoNetGen
Version: 0.1.1
Title: Simulate and Sample from Ecological Interaction Networks
Description: Generate a wide range of random networks given expected degree, 'modularity', and structure. Simulations and sampling routines are implemented in 'FORTRAN', providing efficient generation times even for large networks. Basic visualization methods also included. Algorithms implemented here are described in de Aguiar et al. (2017) <arXiv:1708.01242>.
Authors@R: c(person("Marcus", "de Aguiar", role = c("aut", "cph"), comment = c(ORCID = "0000-0003-1379-7568")), person("Erica", "Newman", role = c("aut"), comment = c(ORCID = "0000-0001-6433-8594")), person("Mathias", "Pires", role = "aut", comment = c(ORCID = "0000-0003-2500-4748")), person("NIMBioS", role = "fnd"), person("Carl", "Boettiger", email = "cboettig@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-4580-091X")))
License: GPL-3
URL: https://github.com/cboettig/EcoNetGen
BugReports: https://github.com/cboettig/EcoNetGen/issues
Encoding: UTF-8
LazyData: true
ByteCompile: true
RoxygenNote: 6.0.1
Suggests: testthat, covr
Imports: igraph, ggplot2
NeedsCompilation: yes
Packaged: 2018-04-09 20:37:36 UTC; cboettig
Author: Marcus de Aguiar [aut, cph] (<https://orcid.org/0000-0003-1379-7568>), Erica Newman [aut] (<https://orcid.org/0000-0001-6433-8594>), Mathias Pires [aut] (<https://orcid.org/0000-0003-2500-4748>), NIMBioS [fnd], Carl Boettiger [aut, cre] (<https://orcid.org/0000-0003-4580-091X>)
Maintainer: Carl Boettiger <cboettig@gmail.com>
Repository: CRAN
Date/Publication: 2018-04-10 12:30:36 UTC

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Package bigleaf updated to version 0.5.2 with previous version 0.3.0 dated 2018-01-25

Title: Physical and Physiological Ecosystem Properties from Eddy Covariance Data
Description: Calculation of physical (e.g. aerodynamic conductance, surface temperature), and physiological (e.g. canopy conductance, water-use efficiency) ecosystem properties from eddy covariance data and accompanying meteorological measurements. Calculations assume the land surface to behave like a 'big-leaf' and return bulk ecosystem/canopy variables.
Author: Juergen Knauer [aut, cre], Soenke Zaehle [ctb], Tarek El-Madany [ctb], Mirco Migliavacca [ctb]
Maintainer: Juergen Knauer <jknauer@bgc-jena.mpg.de>

Diff between bigleaf versions 0.3.0 dated 2018-01-25 and 0.5.2 dated 2018-04-10

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More information about bigleaf at CRAN
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Package shiny.semantic updated to version 0.1.2 with previous version 0.1.1 dated 2017-05-29

Title: Semantic UI Support for Shiny
Description: Creating a great user interface for your Shiny apps can be a hassle, especially if you want to work purely in R and don't want to use, for instance HTML templates. This package adds support for a powerful UI library Semantic UI - <http://semantic-ui.com/>. It also supports universal UI input binding that works with various DOM elements.
Author: Filip Stachura [aut, cre]
Maintainer: Filip Stachura <filip@appsilondatascience.com>

Diff between shiny.semantic versions 0.1.1 dated 2017-05-29 and 0.1.2 dated 2018-04-10

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Package PPRL updated to version 0.3.5 with previous version 0.3.4 dated 2018-03-20

Title: Privacy Preserving Record Linkage
Description: A toolbox for deterministic, probabilistic and privacy-preserving record linkage techniques. Combines the functionality of the 'Merge ToolBox' (<http://record-linkage.de>) with current privacy-preserving techniques.
Author: Rainer Schnell [aut, cph], Dorothea Rukasz [aut, cre], Christian Borgs [ctb], Stefan Brumme [ctb] (HMAC, SHA256), William B. Brogden [ctb] (Metaphone), Tim O'Brien [ctb] (Metaphone), Stephen Lacy [ctb] (Double Metaphone), Apache Software Foundation [cph]
Maintainer: Dorothea Rukasz <mitarbeiter.schnell@uni-due.de>

Diff between PPRL versions 0.3.4 dated 2018-03-20 and 0.3.5 dated 2018-04-10

 DESCRIPTION                 |    8 -
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Package CINNA updated to version 1.1.4 with previous version 1.1.3 dated 2018-01-03

Title: Deciphering Central Informative Nodes in Network Analysis
Description: Functions for computing, comparing and demonstrating top informative centrality measures within a network.
Author: Minoo Ashtiani, Mohieddin Jafari
Maintainer: Minoo Ashtiani <m_ashtiani@pasteur.ac.ir>

Diff between CINNA versions 1.1.3 dated 2018-01-03 and 1.1.4 dated 2018-04-10

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Package VSURF updated to version 1.0.4 with previous version 1.0.3 dated 2016-04-26

Title: Variable Selection Using Random Forests
Description: Three steps variable selection procedure based on random forests. Initially developed to handle high dimensional data (for which number of variables largely exceeds number of observations), the package is very versatile and can treat most dimensions of data, for regression and supervised classification problems. First step is dedicated to eliminate irrelevant variables from the dataset. Second step aims to select all variables related to the response for interpretation purpose. Third step refines the selection by eliminating redundancy in the set of variables selected by the second step, for prediction purpose. Genuer, R. and Poggi, J.M. and Tuleau-Malot, C. (2015) <https://journal.r-project.org/archive/2015-2/genuer-poggi-tuleaumalot.pdf>.
Author: Robin Genuer [aut, cre], Jean-Michel Poggi [aut], Christine Tuleau-Malot [aut]
Maintainer: Robin Genuer <Robin.Genuer@u-bordeaux.fr>

Diff between VSURF versions 1.0.3 dated 2016-04-26 and 1.0.4 dated 2018-04-10

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Package tmap updated to version 1.11-2 with previous version 1.11-1 dated 2018-02-13

Title: Thematic Maps
Description: Thematic maps are geographical maps in which spatial data distributions are visualized. This package offers a flexible, layer-based, and easy to use approach to create thematic maps, such as choropleths and bubble maps.
Author: Martijn Tennekes [aut, cre], Joel Gombin [ctb], Sebastian Jeworutzki [ctb], Kent Russell [ctb], Richard Zijdeman [ctb], John Clouse [ctb]
Maintainer: Martijn Tennekes <mtennekes@gmail.com>

Diff between tmap versions 1.11-1 dated 2018-02-13 and 1.11-2 dated 2018-04-10

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New package scriptName with initial version 1.0.0
Package: scriptName
Title: Determine a Script's Filename from Within the Script Itself
Description: A small set of functions wrapping up the call stack and command line inspection needed to determine a running script's filename from within the script itself.
Version: 1.0.0
Authors@R: c( person("Thomas", "Sibley", email = "trsibley@uw.edu", role = c("aut", "cre")), person("University of Washington", role = c("cph")) )
License: MIT + file LICENSE
URL: https://github.com/MullinsLab/scriptName
BugReports: https://github.com/MullinsLab/scriptName/issues
Imports: rlang (>= 0.1.0), purrr (>= 0.2.3)
Suggests: testthat, devtools
RoxygenNote: 6.0.1
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2018-04-09 17:04:56 UTC; trsibley
Author: Thomas Sibley [aut, cre], University of Washington [cph]
Maintainer: Thomas Sibley <trsibley@uw.edu>
Repository: CRAN
Date/Publication: 2018-04-10 10:18:22 UTC

More information about scriptName at CRAN
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New package RNGforGPD with initial version 1.0
Package: RNGforGPD
Type: Package
Title: Random Number Generation for Generalized Poisson Distributions
Version: 1.0
Date: 2018-04-09
Author: Hesen Li, Ruizhe Chen, Hai Nguyen, Yu-che Chung, Ran Gao, Hakan Demirtas
Maintainer: Ruizhe Chen <rchen18@uic.edu>
Description: Generation of univariate and multivariate data that follow the generalized Poisson distribution. The details of the method are explained in Demirtas (2017) <DOI:10.1080/03610918.2014.968725>.
License: GPL-2 | GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Depends: R (>= 3.4.0)
Imports: VGAM, corpcor, mvtnorm, Matrix
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
Collate: 'GenUniGpois.R' 'CorrNNGpois.R' 'ComputeCorrGpois.R' 'ValidCorrGpois.R' 'CmatStarGpois.R' 'QuantileGpois.R' 'GenMVGPois.R' 'RNGforGPD-package.R'
NeedsCompilation: no
Packaged: 2018-04-09 17:05:34 UTC; lihesen
Repository: CRAN
Date/Publication: 2018-04-10 10:28:22 UTC

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Package multisensi updated to version 2.1-1 with previous version 2.1 dated 2017-07-12

Title: Multivariate Sensitivity Analysis
Description: Functions to perform sensitivity analysis on a model with multivariate output.
Author: Caroline Bidot <caroline.bidot@inra.fr>, Matieyendou Lamboni <matieyendou.lamboni@gmail.com>, Hervé Monod <herve.monod@inra.fr>
Maintainer: Hervé Monod <herve.monod@inra.fr>

Diff between multisensi versions 2.1 dated 2017-07-12 and 2.1-1 dated 2018-04-10

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New package fasta with initial version 0.1.0
Package: fasta
Type: Package
Title: Fast Adaptive Shrinkage/Thresholding Algorithm
Version: 0.1.0
Authors@R: c( person(given=c("Eric","C."), family="Chi", email="ecchi1105@gmail.com", role=c("aut","cre","trl","cph")), person(given="Tom", family="Goldstein", email="tomg@cs.umd.edu", role="aut", comment = "MATLAB original, https://www.cs.umd.edu/~tomg/projects/fasta/"), person(given="Christoph", family="Studer", email="studer@cornell.edu", role="aut"), person(given=c("Richard", "G."), family="Baraniuk", email="richb@rice.edu", role="aut") )
Description: A collection of acceleration schemes for proximal gradient methods for estimating penalized regression parameters described in Goldstein, Studer, and Baraniuk (2016) <arXiv:1411.3406>. Schemes such as Fast Iterative Shrinkage and Thresholding Algorithm (FISTA) by Beck and Teboulle (2009) <doi:10.1137/080716542> and the adaptive stepsize rule introduced in Wright, Nowak, and Figueiredo (2009) <doi:10.1109/TSP.2009.2016892> are included. You provide the objective function and proximal mappings, and it takes care of the issues like stepsize selection, acceleration, and stopping conditions for you.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-04-09 14:51:47 UTC; ecchi
Author: Eric C. Chi [aut, cre, trl, cph], Tom Goldstein [aut] (MATLAB original, https://www.cs.umd.edu/~tomg/projects/fasta/), Christoph Studer [aut], Richard G. Baraniuk [aut]
Maintainer: Eric C. Chi <ecchi1105@gmail.com>
Repository: CRAN
Date/Publication: 2018-04-10 10:01:37 UTC

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New package CorShrink with initial version 0.1-5
Package: CorShrink
Type: Package
Encoding: UTF-8
Title: Adaptive Shrinkage of Correlation and Covariance Matrices
Version: 0.1-5
Date: 2018-04-06
Authors@R: c(person("Kushal","Dey",role=c("aut","cre"), email="kkdey@uchicago.edu"), person("Matthew","Stephens",role="aut"), person("Peter","Carbonetto",role="ctb"))
Maintainer: Kushal Dey <kkdey@uchicago.edu>
Description: Performs adaptive shrinkage of correlation and covariance matrices using a mixture model prior over the Fisher z-transformation of the correlations. A separate shrinkage intensity may be specified for each cell of the correlation or the covariance table.
Depends: R (>= 3.2),
Imports: ashr, reshape2, Matrix, gridExtra, corrplot, corpcor
Suggests: knitr, glasso
License: GPL (>= 2)
NeedsCompilation: no
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 6.0.1.9000
Packaged: 2018-04-09 17:22:23 UTC; kushal
Author: Kushal Dey [aut, cre], Matthew Stephens [aut], Peter Carbonetto [ctb]
Repository: CRAN
Date/Publication: 2018-04-10 10:26:16 UTC

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New package WeMix with initial version 1.0.2
Package: WeMix
Version: 1.0.2
Date: 2018-04-06
Title: Weighted Mixed-Effects Models, using Multilevel Pseudo Maximum Likelihood Estimation
Author: Paul Bailey, Claire Kelley, Trang Nguyen, Huade Huo.
Maintainer: Claire Kelley <ckelley@air.org>
Depends: lme4, R (>= 3.2.0)
Imports: numDeriv, minqa, statmod, Rmpfr, MASS, NPflow, Rcpp
Suggests: testthat, knitr, rmarkdown, EdSurvey
Description: Run mixed-effects models that include weights at every level. The 'WeMix' package fits a Weighted Mixed model, also known as a multilevel, mixed, or hierarchical linear models. The weights could be inverse selection probabilities, such as those developed for an education survey where schools are sampled probabilistically, and then students inside of those schools are sampled probabilistically. Although mixed-effects models are already available in 'R', 'WeMix' is unique in implementing methods for mixed models using weights at multiple levels. The model is fit using adaptive quadrature following the methodology of Rabe-Hesketh, S., and Skrondal, A. (2006) <doi:10.1111/j.1467-985X.2006.00426.x>.
LinkingTo: Rcpp, RcppArmadillo
License: GPL-2
VignetteBuilder: knitr
LazyData: true
ByteCompile: true
Note: This publication was prepared for NCES under Contract No. ED-IES-12-D-0002 with American Institutes for Research. Mention of trade names, commercial products, or organizations does not imply endorsement by the U.S. government.
RoxygenNote: 6.0.1
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2018-04-09 12:48:31 UTC; ckelley
Repository: CRAN
Date/Publication: 2018-04-10 09:56:34 UTC

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Package tmaptools updated to version 1.2-4 with previous version 1.2-3 dated 2018-02-13

Title: Thematic Map Tools
Description: Set of tools for reading and processing spatial data. The aim is to supply the workflow to create thematic maps. This package also facilitates 'tmap', the package for visualizing thematic maps.
Author: Martijn Tennekes [aut, cre]
Maintainer: Martijn Tennekes <mtennekes@gmail.com>

Diff between tmaptools versions 1.2-3 dated 2018-02-13 and 1.2-4 dated 2018-04-10

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Package iml updated to version 0.3.0 with previous version 0.2.1 dated 2018-03-13

Title: Interpretable Machine Learning
Description: Interpretability methods to analyze the behavior and predictions of any machine learning model. Implemented methods are: Feature importance described by Fisher et al. (2018) <arXiv:1801.01489>, partial dependence plots described by Friedman (2001) <http://www.jstor.org/stable/2699986>, individual conditional expectation ('ice') plots described by Goldstein et al. (2013) <doi:10.1080/10618600.2014.907095>, local models (variant of 'lime') described by Ribeiro et. al (2016) <arXiv:1602.04938>, the Shapley Value described by Strumbelj et. al (2014) <doi:10.1007/s10115-013-0679-x> and tree surrogate models.
Author: Christoph Molnar [aut, cre]
Maintainer: Christoph Molnar <christoph.molnar@gmail.com>

Diff between iml versions 0.2.1 dated 2018-03-13 and 0.3.0 dated 2018-04-10

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Package glmmsr updated to version 0.2.2 with previous version 0.2.1 dated 2018-01-09

Title: Fit a Generalized Linear Mixed Model
Description: Conduct inference about generalized linear mixed models, with a choice about which method to use to approximate the likelihood. In addition to the Laplace and adaptive Gaussian quadrature approximations, which are borrowed from 'lme4', the likelihood may be approximated by the sequential reduction approximation, or an importance sampling approximation. These methods provide an accurate approximation to the likelihood in some situations where it is not possible to use adaptive Gaussian quadrature.
Author: Helen Ogden [aut, cre]
Maintainer: Helen Ogden <heogden12@gmail.com>

Diff between glmmsr versions 0.2.1 dated 2018-01-09 and 0.2.2 dated 2018-04-10

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Package EpiModel updated to version 1.6.5 with previous version 1.6.1 dated 2018-01-25

Title: Mathematical Modeling of Infectious Disease Dynamics
Description: Tools for simulating mathematical models of infectious disease dynamics. Epidemic model classes include deterministic compartmental models, stochastic agent-based models, and stochastic network models. Network models use the robust statistical methods of exponential-family random graph models (ERGMs) from the Statnet suite of software packages in R. Standard templates for epidemic modeling include SI, SIR, and SIS disease types. EpiModel features an easy API for extending these templates to address novel scientific research aims.
Author: Samuel Jenness [cre, aut], Steven M. Goodreau [aut], Martina Morris [aut], Emily Beylerian [ctb], Skye Bender-deMoll [ctb], Kevin Weiss [ctb]
Maintainer: Samuel Jenness <samuel.m.jenness@emory.edu>

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Package phylogram updated to version 2.0.0 with previous version 1.0.1 dated 2017-06-14

Title: Dendrograms for Evolutionary Analysis
Description: Contains functions for importing and exporting 'dendrogram' objects in parenthetic text format, as well as several functions for command-line tree manipulation.
Author: Shaun Wilkinson [aut, cre]
Maintainer: Shaun Wilkinson <shaunpwilkinson@gmail.com>

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Package kde1d (with last version 0.1.1) was removed from CRAN

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

2018-04-06 0.1.1
2018-03-26 0.1.0

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Package adehabitat (with last version 1.8.20) was removed from CRAN

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

2018-01-28 1.8.20
2017-11-28 1.8.19
2015-07-22 1.8.18
2015-03-27 1.8.17
2014-12-17 1.8.15
2014-04-25 1.8.14
2014-04-24 1.8.13
2013-01-11 1.8.12
2012-08-04 1.8.11
2012-04-10 1.8.10
2012-02-28 1.8.9
2011-09-09 1.8.7
2011-04-27 1.8.6
2011-04-24 1.8.5
2011-03-19 1.8.4
2009-05-04 1.8.3
2009-02-15 1.8.2
2009-02-12 1.8.1
2008-10-23 1.8.0
2008-10-07 1.7.3
2008-07-29 1.7.2
2007-12-14 1.7.1
2007-09-01 1.7
2007-08-25 1.6-2
2007-05-29 1.6-1

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Package RSQLServer (with last version 0.3.0) was removed from CRAN

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2017-06-17 0.3.0

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Package spmoran updated to version 0.1.3 with previous version 0.1.2 dated 2017-09-15

Title: Moran's Eigenvector-Based Spatial Regression Models
Description: Functions for estimating fixed and random effects eigenvector spatial filtering models. For details see Murakami (2018) <arXiv:1703.04467>.
Author: Daisuke Murakami
Maintainer: Daisuke Murakami <dmuraka@ism.ac.jp>

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Package drake updated to version 5.1.2 with previous version 5.1.0 dated 2018-03-22

Title: Data Frames in R for Make
Description: An R-focused pipeline toolkit for reproducible code and high-performance computing.
Author: William Michael Landau [aut, cre], Alex Axthelm [ctb], Jasper Clarkberg [ctb], Kirill Müller [ctb], Ben Marwick [rev], Peter Slaughter [rev], Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau@gmail.com>

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