Thu, 06 Jun 2019

Package crunchy updated to version 0.3.1 with previous version 0.3.0 dated 2019-04-03

Title: Shiny Apps on Crunch
Description: To facilitate building custom dashboards on the Crunch data platform <https://crunch.io/>, the 'crunchy' package provides tools for working with 'shiny'. These tools include utilities to manage authentication and authorization automatically and custom stylesheets to help match the look and feel of the Crunch web application. The package also includes several gadgets for use in 'RStudio'.
Author: Neal Richardson [aut], Jonathan Keane [aut], Gordon Shotwell [aut], Mike Malecki [aut, cre]
Maintainer: Mike Malecki <mike@crunch.io>

Diff between crunchy versions 0.3.0 dated 2019-04-03 and 0.3.1 dated 2019-06-06

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 tests/testthat/test-gadgets.R                                                      |    7 
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Package crplyr updated to version 0.3.1 with previous version 0.3.0 dated 2019-04-03

Title: A 'dplyr' Interface for Crunch
Description: In order to facilitate analysis of datasets hosted on the Crunch data platform <http://crunch.io/>, the 'crplyr' package implements 'dplyr' methods on top of the Crunch backend. The usual methods 'select', 'filter', 'group_by', 'summarize', and 'collect' are implemented in such a way as to perform as much computation on the server and pull as little data locally as possible.
Author: Neal Richardson [aut], Jonathan Keane [aut], Gordon Shotwell [aut], Mike Malecki [aut, cre]
Maintainer: Mike Malecki <mike@crunch.io>

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Package interactionTest updated to version 1.2 with previous version 1.1 dated 2018-11-30

Title: Calculates Critical Test Statistics to Control False Discovery Rates in Marginal Effects Plots
Description: Implements the procedures suggested in Esarey and Sumner (2017) <http://justinesarey.com/interaction-overconfidence.pdf> for controlling the false discovery rate when constructing marginal effects plots for models with interaction terms.
Author: Justin Esarey and Jane Lawrence Sumner
Maintainer: Justin Esarey <justin@justinesarey.com>

Diff between interactionTest versions 1.1 dated 2018-11-30 and 1.2 dated 2019-06-06

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Package alterryx updated to version 0.5.0 with previous version 0.4.0 dated 2018-11-21

Title: An 'API' Client for the 'Alteryx' Gallery
Description: A tool to access each of the 'Alteryx' Gallery 'API' endpoints. Users can queue jobs, poll job status, and retrieve application output as a data frame. You will need an 'Alteryx' Server license and have 'Alteryx' Gallery running to utilize this package. The 'API' is accessed through the 'URL' that you setup for the server running 'Alteryx' Gallery and more information on the endpoints can be found at <https://gallery.alteryx.com/api-docs/>.
Author: Michael Treadwell
Maintainer: Michael Treadwell <michael.treadwell@interworks.com>

Diff between alterryx versions 0.4.0 dated 2018-11-21 and 0.5.0 dated 2019-06-06

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Package DriftBurstHypothesis updated to version 0.1.3 with previous version 0.1.2 dated 2019-04-14

Title: Calculates the Test-Statistic for the Drift Burst Hypothesis
Description: Calculates the T-Statistic for the drift burst hypothesis from the working paper Christensen, Oomen and Reno (2018) <DOI:10.2139/ssrn.2842535>. The authors' MATLAB code is available upon request, see: <https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2842535>.
Author: Emil Sjoerup
Maintainer: Emil Sjoerup <emilsjoerup@live.dk>

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Package provenance updated to version 2.3 with previous version 2.2 dated 2018-10-06

Title: Statistical Toolbox for Sedimentary Provenance Analysis
Description: Bundles a number of established statistical methods to facilitate the visual interpretation of large datasets in sedimentary geology. Includes functionality for adaptive kernel density estimation, principal component analysis, correspondence analysis, multidimensional scaling, generalised procrustes analysis and individual differences scaling using a variety of dissimilarity measures. Univariate provenance proxies, such as single-grain ages or (isotopic) compositions are compared with the Kolmogorov-Smirnov, Kuiper or Sircombe-Hazelton L2 distances. Categorical provenance proxies such as chemical compositions are compared with the Aitchison and Bray-Curtis distances, and point-counting data with the chi-square distance. Also included are tools to plot compositional and point-counting data on ternary diagrams and point-counting data on radial plots, to calculate the sample size required for specified levels of statistical precision, and to assess the effects of hydraulic sorting on detrital compositions. Includes an intuitive query-based user interface for users who are not proficient in R.
Author: Pieter Vermeesch [aut, cre]
Maintainer: Pieter Vermeesch <p.vermeesch@ucl.ac.uk>

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Package IsoplotR updated to version 2.7 with previous version 2.6 dated 2019-05-04

Title: Statistical Toolbox for Radiometric Geochronology
Description: Plots U-Pb data on Wetherill and Tera-Wasserburg concordia diagrams. Calculates concordia and discordia ages. Performs linear regression of measurements with correlated errors using 'York', 'Titterington' and 'Ludwig' approaches. Generates Kernel Density Estimates (KDEs) and Cumulative Age Distributions (CADs). Produces Multidimensional Scaling (MDS) configurations and Shepard plots of multi-sample detrital datasets using the Kolmogorov-Smirnov distance as a dissimilarity measure. Calculates 40Ar/39Ar ages, isochrons, and age spectra. Computes weighted means accounting for overdispersion. Calculates U-Th-He (single grain and central) ages, logratio plots and ternary diagrams. Processes fission track data using the external detector method and LA-ICP-MS, calculates central ages and plots fission track and other data on radial (a.k.a. 'Galbraith') plots. Constructs total Pb-U, Pb-Pb, K-Ca, Re-Os, Sm-Nd, Lu-Hf, Rb-Sr and 230Th-U isochrons as well as 230Th-U evolution plots.
Author: Pieter Vermeesch [aut, cre]
Maintainer: Pieter Vermeesch <p.vermeesch@ucl.ac.uk>

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Package filesstrings updated to version 3.1.3 with previous version 3.1.2 dated 2019-05-29

Title: Handy File and String Manipulation
Description: This started out as a package for file and string manipulation. Since then, the 'fs' and 'strex' packages emerged, offering functionality previously given by this package (but it's done better in these new ones). Those packages have hence almost pushed 'filesstrings' into extinction. However, it still has a small number of unique, handy file manipulation functions which can be seen in the vignette. One example is a function to remove spaces from all file names in a directory.
Author: Rory Nolan [aut, cre, cph] (<https://orcid.org/0000-0002-5239-4043>), Sergi Padilla-Parra [ths] (<https://orcid.org/0000-0002-8010-9481>)
Maintainer: Rory Nolan <rorynoolan@gmail.com>

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Package prioritizr updated to version 4.1.1 with previous version 4.0.4 dated 2019-04-12

Title: Systematic Conservation Prioritization in R
Description: Conservation prioritization using integer programming techniques. To solve large-scale problems, users should install the 'gurobi' optimizer (available from <http://www.gurobi.com/>).
Author: Jeffrey O Hanson [aut], Richard Schuster [aut, cre], Nina Morrell [aut], Matthew Strimas-Mackey [aut], Matthew E Watts [aut], Peter Arcese [aut], Joeseph Bennett [aut], Hugh P Possingham [aut]
Maintainer: Richard Schuster <richard.schuster@glel.carleton.ca>

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Package JuliaCall updated to version 0.16.6 with previous version 0.16.5 dated 2019-03-22

Title: Seamless Integration Between R and 'Julia'
Description: Provides an R interface to 'Julia', which is a high-level, high-performance dynamic programming language for numerical computing, see <https://julialang.org/> for more information. It provides a high-level interface as well as a low-level interface. Using the high level interface, you could call any 'Julia' function just like any R function with automatic type conversion. Using the low level interface, you could deal with C-level SEXP directly while enjoying the convenience of using a high-level programming language like 'Julia'.
Author: Changcheng Li [aut, cre], Randy Lai [ctb], Dmitri Grominski [ctb], Nagi Teramo [ctb]
Maintainer: Changcheng Li <cxl508@psu.edu>

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Package JointAI updated to version 0.5.2 with previous version 0.5.1 dated 2019-05-07

Title: Joint Analysis and Imputation of Incomplete Data
Description: Provides joint analysis and imputation of (generalized) linear and cumulative logit regression models, (generalized) linear and cumulative logit mixed models and parametric (Weibull) as well as Cox proportional hazards survival models with incomplete (covariate) data in the Bayesian framework. The package performs some preprocessing of the data and creates a 'JAGS' model, which will then automatically be passed to 'JAGS' <http://mcmc-jags.sourceforge.net> with the help of the package 'rjags'. It also provides summary and plotting functions for the output and allows to export imputed values.
Author: Nicole S. Erler [aut, cre] (<https://orcid.org/0000-0002-9370-6832>)
Maintainer: Nicole S. Erler <n.erler@erasmusmc.nl>

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New package CircSpaceTime with initial version 0.9.0
Package: CircSpaceTime
Type: Package
Title: Spatial and Spatio-Temporal Bayesian Model for Circular Data
Version: 0.9.0
Authors@R: c(person("Giovanna", "Jona Lasinio", email = "giovanna.jonalasinio@uniroma1.it", role = c("aut"), comment = c(ORCID = "0000-0001-8912-5018")), person("Gianluca", "Mastrantonio", email = "gianluca.mastrantonio@polito.it", role = c("aut"), comment = c(ORCID = "0000-0002-2963-6729")), person("Mario", "Santoro", email = "santoro.ma@gmail.com", role = c("aut", "cre"), comment = c(ORCID = c("0000-0001-6626-9430"))))
BugReports: https://github.com/santoroma/CircSpaceTime
Description: Implementation of Bayesian models for spatial and spatio-temporal interpolation of circular data using Gaussian Wrapped and Gaussian Projected distributions. We developed the methods described in Jona Lasinio G. et al. (2012) <doi: 10.1214/12-aoas576>, Wang F. et al. (2014) <doi: 10.1080/01621459.2014.934454> and Mastrantonio G. et al. (2016) <doi: 10.1007/s11749-015-0458-y>.
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/santoroma/CircSpaceTime
Suggests: foreach, iterators, parallel, doParallel, gridExtra
LinkingTo: Rcpp, RcppArmadillo, RInside
Imports: Rcpp (>= 0.12.14), circular, RInside, coda, ggplot2
RoxygenNote: 6.1.0
NeedsCompilation: yes
Packaged: 2019-06-06 09:07:05 UTC; harlok
Author: Giovanna Jona Lasinio [aut] (<https://orcid.org/0000-0001-8912-5018>), Gianluca Mastrantonio [aut] (<https://orcid.org/0000-0002-2963-6729>), Mario Santoro [aut, cre] (<https://orcid.org/0000-0001-6626-9430>)
Maintainer: Mario Santoro <santoro.ma@gmail.com>
Depends: R (>= 2.10)
Repository: CRAN
Date/Publication: 2019-06-06 15:12:15 UTC

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New package stabreg with initial version 0.1.2
Package: stabreg
Type: Package
Title: Linear Regression with the Stable Distribution
Version: 0.1.2
Authors@R: c(person("Oleg Kopylov", role = c("aut", "cre"), email = "okopy@protonmail.com"), person("Sebastian Ament", role = "ctb"))
Maintainer: Oleg Kopylov <okopy@protonmail.com>
Description: Efficient regression for heavy-tailed and skewed data following a stable distribution. Generalized regression where the skewness and tail parameter of residuals are dependent on regressors is also available. Includes fast calculation of stable densities. Calculation of densities is based on efficient numerical methods from Ament and O'Neil (2017) <doi:10.1007/s11222-017-9725-y>. Parts of the code have been ported to C from Ament's 'Matlab' code available at <https://gitlab.com/s_ament/qastable>.
Encoding: UTF-8
LazyData: true
License: GPL-3
NeedsCompilation: yes
Imports: numDeriv
Packaged: 2019-06-05 17:21:06 UTC; oleg
Author: Oleg Kopylov [aut, cre], Sebastian Ament [ctb]
Repository: CRAN
Date/Publication: 2019-06-06 14:20:03 UTC

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New package spinBayes with initial version 0.1.0
Package: spinBayes
Type: Package
Title: Semi-Parametric Gene-Environment Interaction via Bayesian Variable Selection
Version: 0.1.0
Author: Jie Ren, Fei Zhou, Xiaoxi Li, Cen Wu, Yu Jiang
Maintainer: Jie Ren <jieren@ksu.edu>
Description: Many complex diseases are known to be affected by the interactions between genetic variants and environmental exposures beyond the main genetic and environmental effects. Existing Bayesian methods for gene-environment (G×E) interaction studies are challenged by the high-dimensional nature of the study and the complexity of environmental influences. We have developed a novel and powerful semi-parametric Bayesian variable selection method that can accommodate linear and nonlinear G×E interactions simultaneously (Ren et al. (2019) <arXiv:1906.01057>). Furthermore, the proposed method can conduct structural identification by distinguishing nonlinear interactions from main effects only case within Bayesian framework. Spike-and-slab priors are incorporated on both individual and group level to shrink coefficients corresponding to irrelevant main and interaction effects to zero exactly. The Markov chain Monte Carlo algorithms of the proposed and alternative methods are efficiently implemented in C++.
Depends: R (>= 3.5.0)
License: GPL-2
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, splines, MASS, glmnet, utils
URL: https://github.com/jrhub/spinBayes
BugReports: https://github.com/jrhub/spinBayes/issues
RoxygenNote: 6.1.1
NeedsCompilation: yes
Packaged: 2019-06-05 19:52:21 UTC; JieRen
Repository: CRAN
Date/Publication: 2019-06-06 14:40:03 UTC

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New package EstimationTools with initial version 1.1.0
Package: EstimationTools
Type: Package
Title: Maximum Likelihood Estimation for Probability Functions from Data Sets
Version: 1.1.0
Authors@R: person("Jaime", "Mosquera", email = "jmosquerag@unal.edu.co", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-1684-4756"))
Imports: Rdpack, knitr, rmarkdown
RdMacros: Rdpack
Suggests: gamlss.dist
Depends: R (>= 3.3.0), stats, DEoptim, boot, numDeriv, BBmisc
Description: A routine for parameter estimation for any probability density or mass function implemented in R via maximum likelihood (ML) given a data set. This routine is a wrapper function specifically developed for ML estimation. There are included optimization procedures such as 'nlminb' and 'optim' from base package, and 'DEoptim' Mullen (2011) <doi: 10.18637/jss.v040.i06>. Standard errors are estimated with 'numDeriv' Gilbert (2011) <http://CRAN.R-project.org/package=numDeriv>.
License: GPL-3
URL: https://github.com/Jaimemosg/EstimationTools
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-06-05 21:14:40 UTC; USUARIO
Author: Jaime Mosquera [aut, cre] (<https://orcid.org/0000-0002-1684-4756>)
Maintainer: Jaime Mosquera <jmosquerag@unal.edu.co>
Repository: CRAN
Date/Publication: 2019-06-06 14:52:16 UTC

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Package derivmkts updated to version 0.2.4 with previous version 0.2.3 dated 2018-06-19

Title: Functions and R Code to Accompany Derivatives Markets
Description: A set of pricing and expository functions that should be useful in teaching a course on financial derivatives.
Author: Robert McDonald [aut, cre, cph]
Maintainer: Robert McDonald <rmcd1024@gmail.com>

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New package bimets with initial version 1.4.0
Package: bimets
Type: Package
Title: Time Series and Econometric Modeling
Version: 1.4.0
Date: 2019-05-12
Authors@R: c(person("Andrea", "Luciani", email = "andrea.luciani@bancaditalia.it", role = c("aut", "cre")), person("Roberto", "Stok", email = "roberto.stok@bancaditalia.it", role = c("aut")), person("Bank of Italy",role = c("cph")))
Maintainer: Andrea Luciani <andrea.luciani@bancaditalia.it>
Author: Andrea Luciani [aut, cre], Roberto Stok [aut], Bank of Italy [cph]
ByteCompile: no
Description: Time series analysis, (dis)aggregation and manipulation, e.g. time series extension, merge, projection, lag, lead, delta, moving and cumulative average and product, selection by index, date and year-period, conversion to daily, monthly, quarterly, (semi)annually. Simultaneous equation models definition, estimation, simulation and forecasting with coefficient restrictions, error autocorrelation, exogenization, add-factors, impact and interim multipliers analysis, conditional equation evaluation, endogenous targeting and model renormalization.
Depends: R (>= 3.3), xts, zoo
Imports: stats
LazyData: true
License: EUPL
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2019-06-05 14:14:42 UTC; m025732
Repository: CRAN
Date/Publication: 2019-06-06 14:10:07 UTC

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Package tibble updated to version 2.1.3 with previous version 2.1.2 dated 2019-05-29

Title: Simple Data Frames
Description: Provides a 'tbl_df' class (the 'tibble') that provides stricter checking and better formatting than the traditional data frame.
Author: Kirill Müller [aut, cre], Hadley Wickham [aut], Romain Francois [ctb], Jennifer Bryan [ctb], RStudio [cph]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

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Package Rcan updated to version 1.3.71 with previous version 1.3.70 dated 2019-05-28

Title: Cancer Registry Data Analysis and Visualisation
Description: Tools for basic and advance cancer statistics and graphics. Groups individual data, merges registry data and population data, calculates age-specific rate, age-standardized rate, estimated annual percentage rate with standards error. Creates graphics across variable and time, such as age-specific trends, bar chart and period-cohort trends.
Author: Mathieu Laversanne [aut, cre], Cancer Surveillance Unit [cph]
Maintainer: Mathieu Laversanne <laversannem@iarc.fr>

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Package sjlabelled updated to version 1.1.0 with previous version 1.0.17 dated 2019-03-10

Title: Labelled Data Utility Functions
Description: Collection of functions dealing with labelled data, like reading and writing data between R and other statistical software packages like 'SPSS', 'SAS' or 'Stata', and working with labelled data. This includes easy ways to get, set or change value and variable label attributes, to convert labelled vectors into factors or numeric (and vice versa), or to deal with multiple declared missing values.
Author: Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>)
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

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Package ggPMX updated to version 0.9.4 with previous version 0.9.3 dated 2019-05-26

Title: 'ggplot2' Based Tool to Facilitate Diagnostic Plots for NLME Models
Description: At Novartis, we aimed at standardizing the set of diagnostic plots used for modeling activities in order to reduce the overall effort required for generating such plots. For this, we developed a guidance that proposes an adequate set of diagnostics and a toolbox, called 'ggPMX' to execute them. 'ggPMX' is a toolbox that can generate all diagnostic plots at a quality sufficient for publication and submissions using few lines of code.
Author: Amine Gassem [cre, aut], Bruno Bieth [aut], Irina Baltcheva [aut], Thomas Dumortier [aut], Christian Bartels [aut], Souvik Bhattacharya [aut], Inga Ludwig [aut], Ines Paule [aut], Didier Renard [aut], Qing Xi Ooi [ctr], Novartis Pharma AG [cph]
Maintainer: Amine Gassem <contact@ag-study.com>

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New package TopicScore with initial version 0.0.1
Package: TopicScore
Title: The Topic SCORE Algorithm to Fit Topic Models
Version: 0.0.1
Authors@R: c(person("Minzhe", "Wang", role = c("aut", "cre"), email = "minzhew@uchicago.edu"), person("Tracy", "Ke", role = "aut"))
Description: Provides implementation of the "Topic SCORE" algorithm that is proposed by Tracy Ke and Minzhe Wang. The singular value decomposition step is optimized through the usage of svds() function in 'RSpectra' package, on a 'dgRMatrix' sparse matrix. Also provides a column-wise error measure in the word-topic matrix A, and an algorithm for recovering the topic-document matrix W given A and D based on quadratic programming. The details about the techniques are explained in the paper "A new SVD approach to optimal topic estimation" by Tracy Ke and Minzhe Wang (2017) <arXiv:1704.07016>.
Depends: R (>= 3.5.0)
License: MIT + file LICENSE
LazyData: true
RoxygenNote: 6.1.1
Imports: utils, stats, graphics, RSpectra, combinat, quadprog, methods, Matrix, slam
Author: Minzhe Wang [aut, cre], Tracy Ke [aut]
Maintainer: Minzhe Wang <minzhew@uchicago.edu>
NeedsCompilation: no
Packaged: 2019-06-04 15:32:17 UTC; greenlink
Repository: CRAN
Date/Publication: 2019-06-06 11:12:14 UTC

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Package WRS2 updated to version 1.0-0 with previous version 0.10-0 dated 2018-06-15

Title: A Collection of Robust Statistical Methods
Description: A collection of robust statistical methods based on Wilcox' WRS functions. It implements robust t-tests (independent and dependent samples), robust ANOVA (including between-within subject designs), quantile ANOVA, robust correlation, robust mediation, and nonparametric ANCOVA models based on robust location measures.
Author: Patrick Mair [cre, aut], Rand Wilcox [aut]
Maintainer: Patrick Mair <mair@fas.harvard.edu>

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Package smacof updated to version 2.0-0 with previous version 1.10-8 dated 2018-06-14

Title: Multidimensional Scaling
Description: Implements the following approaches for multidimensional scaling (MDS) based on stress minimization using majorization (smacof): ratio/interval/ordinal/spline MDS on symmetric dissimilarity matrices, MDS with external constraints on the configuration, individual differences scaling (idioscal, indscal), MDS with spherical restrictions, and ratio/interval/ordinal/spline unfolding (circular restrictions, row-conditional). Various tools and extensions like jackknife MDS, bootstrap MDS, permutation tests, MDS biplots, gravity models, unidimensional scaling, drift vectors (asymmetric MDS), classical scaling, and Procrustes are implemented as well.
Author: Patrick Mair [aut, cre], Jan De Leeuw [aut], Patrick J. F. Groenen [aut], Ingwer Borg [ctb]
Maintainer: Patrick Mair <mair@fas.harvard.edu>

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Package eRm updated to version 1.0-0 with previous version 0.16-2 dated 2018-10-03

Title: Extended Rasch Modeling
Description: Fits Rasch models (RM), linear logistic test models (LLTM), rating scale model (RSM), linear rating scale models (LRSM), partial credit models (PCM), and linear partial credit models (LPCM). Missing values are allowed in the data matrix. Additional features are the ML estimation of the person parameters, Andersen's LR-test, item-specific Wald test, Martin-Loef-Test, nonparametric Monte-Carlo Tests, itemfit and personfit statistics including infit and outfit measures, ICC and other plots, automated stepwise item elimination, simulation module for various binary data matrices.
Author: Patrick Mair [cre, aut], Reinhold Hatzinger [aut], Marco J. Maier [aut], Thomas Rusch [ctb], Rudolf Debelak [ctb]
Maintainer: Patrick Mair <mair@fas.harvard.edu>

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Package numDeriv updated to version 2016.8-1.1 with previous version 2016.8-1 dated 2016-08-26

Title: Accurate Numerical Derivatives
Description: Methods for calculating (usually) accurate numerical first and second order derivatives. Accurate calculations are done using 'Richardson''s' extrapolation or, when applicable, a complex step derivative is available. A simple difference method is also provided. Simple difference is (usually) less accurate but is much quicker than 'Richardson''s' extrapolation and provides a useful cross-check. Methods are provided for real scalar and vector valued functions.
Author: Paul Gilbert and Ravi Varadhan
Maintainer: Paul Gilbert <pgilbert.ttv9z@ncf.ca>

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Package UCSCXenaTools updated to version 1.2.2 with previous version 1.2.1 dated 2019-04-18

Title: Download and Explore Datasets from UCSC Xena Data Hubs
Description: Download and explore datasets from UCSC Xena data hubs, which are a collection of UCSC-hosted public databases such as TCGA, ICGC, TARGET, GTEx, CCLE, and others. Databases are normalized so they can be combined, linked, filtered, explored and downloaded.
Author: Shixiang Wang [aut, cre] (<https://orcid.org/0000-0001-9855-7357>), Martin Morgan [aut]
Maintainer: Shixiang Wang <w_shixiang@163.com>

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Package stringdist updated to version 0.9.5.2 with previous version 0.9.5.1 dated 2018-06-08

Title: Approximate String Matching and String Distance Functions
Description: Implements an approximate string matching version of R's native 'match' function. Can calculate various string distances based on edits (Damerau-Levenshtein, Hamming, Levenshtein, optimal sting alignment), qgrams (q- gram, cosine, jaccard distance) or heuristic metrics (Jaro, Jaro-Winkler). An implementation of soundex is provided as well. Distances can be computed between character vectors while taking proper care of encoding or between integer vectors representing generic sequences. This package is built for speed and runs in parallel by using 'openMP'. An API for C or C++ is exposed as well.
Author: Mark van der Loo [aut, cre], Jan van der Laan [ctb], R Core Team [ctb], Nick Logan [ctb], Chris Muir [ctb]
Maintainer: Mark van der Loo <mark.vanderloo@gmail.com>

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Package Boom updated to version 0.9.1 with previous version 0.9 dated 2019-05-17

Title: Bayesian Object Oriented Modeling
Description: A C++ library for Bayesian modeling, with an emphasis on Markov chain Monte Carlo. Although boom contains a few R utilities (mainly plotting functions), its primary purpose is to install the BOOM C++ library on your system so that other packages can link against it.
Author: Steven L. Scott is the sole author and creator of the BOOM project. Some code in the BOOM libraries has been modified from other open source projects. These include Cephes (obtained from Netlib, written by Stephen L. Moshier), NEWUOA (M.J.D Powell, obtained from Powell's web site), and a modified version of the R math libraries (R core development team). Original copyright notices have been maintained in all source files. In these cases, copyright claimed by Steven L. Scott is limited to modifications made to the original code. Google claims copyright for code written while Steven L. Scott was employed at Google from 2008 - 2018, but BOOM is not an officially supported Google project.
Maintainer: Steven L. Scott <steve.the.bayesian@gmail.com>

Diff between Boom versions 0.9 dated 2019-05-17 and 0.9.1 dated 2019-06-06

 Boom-0.9.1/Boom/DESCRIPTION                                                                                 |    8 
 Boom-0.9.1/Boom/MD5                                                                                         |   79 +--
 Boom-0.9.1/Boom/R/plot.dynamic.distribution.R                                                               |    7 
 Boom-0.9.1/Boom/R/prior_specification.R                                                                     |    7 
 Boom-0.9.1/Boom/inst/include/Models/DataTypes.hpp                                                           |    6 
 Boom-0.9.1/Boom/inst/include/Models/DoubleModel.hpp                                                         |   25 
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 Boom-0.9.1/Boom/src/Makevars                                                                                |    4 
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Package SignifReg updated to version 2.0 with previous version 1.1 dated 2019-02-16

Title: Consistent Significance Controlled Variable Selection in Linear Regression
Description: Provide consistent significance controlled variable selection procedure with different directions (forward, backward, stepwise) based on diverse criteria (AIC, BIC, adjusted r-square, and p-value). The algorithm selects a final model with only significant variables based on a correction choice of False Discovery Rate, Bonferroni, or no correction.
Author: Jongwook Kim, Adriano Zanin Zambom
Maintainer: Jongwook Kim <jongwook226@gmail.com>

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Package mlflow updated to version 1.0.0 with previous version 0.9.0.1 dated 2019-04-14

Title: Interface to 'MLflow'
Description: R interface to 'MLflow', open source platform for the complete machine learning life cycle, see <https://mlflow.org/>. This package supports installing 'MLflow', tracking experiments, creating and running projects, and saving and serving models.
Author: Matei Zaharia [aut, cre], Javier Luraschi [aut], Kevin Kuo [aut] (<https://orcid.org/0000-0001-7803-7901>), RStudio [cph]
Maintainer: Matei Zaharia <matei@databricks.com>

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Package fuzzyreg updated to version 0.5.1 with previous version 0.5 dated 2019-02-07

Title: Fuzzy Linear Regression
Description: Estimators for fuzzy linear regression. The functions estimate parameters of fuzzy linear regression models with crisp or fuzzy independent variables (triangular fuzzy numbers are supported). Implements multiple methods for parameter estimation and algebraic operations with triangular fuzzy numbers. Includes functions for summarising, printing and plotting the model fit. Calculates predictions from the model and total error of fit. Diamond (1988) <doi:10.1016/0020-0255(88)90047-3>, Hung & Yang (2006) <doi:10.1016/j.fss.2006.08.004>, Lee & Tanaka (1999) <doi:10.15807/jorsj.42.98>, Nasrabadi, Nasrabadi & Nasrabady (2005) <doi:10.1016/j.amc.2004.02.008>, Tanaka, Hayashi & Watada (1989) <doi:10.1016/0377-2217(89)90431-1>, Zeng, Feng & Li (2017) <doi:10.1016/j.asoc.2016.09.029>.
Author: Pavel Skrabanek [aut, cph], Natalia Martinkova [aut, cre, cph]
Maintainer: Natalia Martinkova <martinkova@ivb.cz>

Diff between fuzzyreg versions 0.5 dated 2019-02-07 and 0.5.1 dated 2019-06-06

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 NAMESPACE                         |   48 ++--
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 build/vignette.rds                |binary
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 inst/doc/GettingStarted.R         |  426 +++++++++++++++++++-------------------
 inst/doc/GettingStarted.pdf       |binary
 man/GOF.Rd                        |   82 +++----
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 man/fuzzify.Rd                    |  110 ++++-----
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 man/prodSfuzzy.Rd                 |   62 ++---
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 man/summary.fuzzylm.Rd            |   60 ++---
 tests/testthat/test_performance.R |    6 
 34 files changed, 1294 insertions(+), 1288 deletions(-)

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Package XML updated to version 3.98-1.20 with previous version 3.98-1.19 dated 2019-03-06

Title: Tools for Parsing and Generating XML Within R and S-Plus
Description: Many approaches for both reading and creating XML (and HTML) documents (including DTDs), both local and accessible via HTTP or FTP. Also offers access to an 'XPath' "interpreter".
Author: Duncan Temple Lang and the CRAN Team (including Tomas Kalibera)
Maintainer: ORPHANED

Diff between XML versions 3.98-1.19 dated 2019-03-06 and 3.98-1.20 dated 2019-06-06

 DESCRIPTION             |    6 +++---
 MD5                     |    6 +++---
 man/saveXML.Rd          |    2 +-
 man/xmlSerializeHook.Rd |    6 ++++--
 4 files changed, 11 insertions(+), 9 deletions(-)

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Package CramTest (with last version 1.5) was removed from CRAN

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

2019-04-25 1.5

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Package phenofit (with last version 0.2.4) was removed from CRAN

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

2019-05-24 0.2.4
2019-05-23 0.2.3
2019-02-18 0.2.0

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Package BSquare (with last version 1.1) was removed from CRAN

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

2013-05-24 1.1
2013-05-22 1.0

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Package cdcsis (with last version 2.0.2) was removed from CRAN

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

2019-05-31 2.0.2
2019-04-16 2.0.1
2019-01-09 2.0.0
2014-10-21 1.0

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Package bliss (with last version 1.0.0) was removed from CRAN

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

2019-03-06 1.0.0

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