Thu, 25 Jul 2019

Package bigstep updated to version 1.0.3 with previous version 1.0.2 dated 2019-07-18

Title: Stepwise Selection for Large Data Sets
Description: Selecting linear and generalized linear models for large data sets using modified stepwise procedure and modern selection criteria (like modifications of Bayesian Information Criterion). Selection can be performed on data which exceed RAM capacity.
Author: Piotr Szulc [aut, cre]
Maintainer: Piotr Szulc <piotr.michal.szulc@gmail.com>

Diff between bigstep versions 1.0.2 dated 2019-07-18 and 1.0.3 dated 2019-07-25

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Package vein updated to version 0.7.12 with previous version 0.7.8 dated 2019-06-12

Title: Vehicular Emissions Inventories
Description: Elaboration of vehicular emissions inventories, consisting in four stages, pre-processing activity data, preparing emissions factors, estimating the emissions and post-processing of emissions in maps and databases. More details in Ibarra-Espinosa et al (2018) <doi:10.5194/gmd-11-2209-2018>. Before using VEIN you need to know the vehicular composition of your study area, in other words, the combination of of type of vehicles, size and fuel of the fleet. Then, it is recommended to start with the function inventory to create a structure of directories and template scripts.
Author: Sergio Ibarra-Espinosa [aut, cre] (<https://orcid.org/0000-0002-3162-1905>), Daniel Schuch [ctb] (<https://orcid.org/0000-0001-5977-4519>)
Maintainer: Sergio Ibarra-Espinosa <sergio.ibarra@usp.br>

Diff between vein versions 0.7.8 dated 2019-06-12 and 0.7.12 dated 2019-07-25

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New package treeplyr with initial version 0.1.7
Package: treeplyr
Type: Package
Title: 'dplyr' Functionality for Matched Tree and Data Objects
Version: 0.1.7
Date: 2019-07-22
Author: Josef Uyeda
Maintainer: Josef Uyeda <josef.uyeda@gmail.com>
Description: Matches phylogenetic trees and trait data, and allows simultaneous manipulation of the tree and data using 'dplyr'.
License: GPL-2 | GPL-3
Depends: ape (>= 3.0-6), dplyr (>= 0.8.0), R (>= 3.1.2)
Imports: Rcpp (>= 0.10.3), lazyeval, phytools, geiger
LinkingTo: Rcpp
URL: https://github.com/uyedaj/treeplyr
BugReports: https://github.com/uyedaj/treeplyr/issues
RoxygenNote: 6.1.1
NeedsCompilation: yes
Packaged: 2019-07-22 15:25:38 UTC; juyeda
Repository: CRAN
Date/Publication: 2019-07-25 22:50:02 UTC

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Package taxotools updated to version 0.0.35 with previous version 0.0.30 dated 2019-06-19

Title: Tools to Handle Taxonomic Lists
Description: Some tools to work with taxonomic name lists.
Author: Vijay Barve [aut, cre] (<https://orcid.org/0000-0002-4852-2567>)
Maintainer: Vijay Barve <vijay.barve@gmail.com>

Diff between taxotools versions 0.0.30 dated 2019-06-19 and 0.0.35 dated 2019-07-25

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Package svars updated to version 1.3.1 with previous version 1.3.0 dated 2019-06-28

Title: Data-Driven Identification of SVAR Models
Description: Implements data-driven identification methods for structural vector autoregressive (SVAR) models. Based on an existing VAR model object (provided by e.g. VAR() from the 'vars' package), the structural impact matrix is obtained via data-driven identification techniques (i.e. changes in volatility (Rigobon, R. (2003) <doi:10.1162/003465303772815727>), patterns of GARCH (Normadin, M., Phaneuf, L. (2004) <doi:10.1016/j.jmoneco.2003.11.002>), independent component analysis (Matteson, D. S, Tsay, R. S., (2013) <doi:10.1080/01621459.2016.1150851>), least dependent innovations (Herwartz, H., Ploedt, M., (2016) <doi:10.1016/j.jimonfin.2015.11.001>), smooth transition in variances (Luetkepohl, H., Netsunajev, A. (2017) <doi:10.1016/j.jedc.2017.09.001>) or non-Gaussian maximum likelihood (Lanne, M., Meitz, M., Saikkonen, P. (2017) <doi:10.1016/j.jeconom.2016.06.002>)).
Author: Alexander Lange [aut, cre], Bernhard Dalheimer [aut], Helmut Herwartz [aut], Simone Maxand [aut], Hannes Riebl [ctb]
Maintainer: Alexander Lange <alexander.lange@uni-goettingen.de>

Diff between svars versions 1.3.0 dated 2019-06-28 and 1.3.1 dated 2019-07-25

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Package SpatialAcc updated to version 0.1-3 with previous version 0.1-2 dated 2017-08-04

Title: Spatial Accessibility Measures
Description: Provides a set of spatial accessibility measures from a set of locations (demand) to another set of locations (supply). It aims, among others, to support research on spatial accessibility to health care facilities. Includes the locations and some characteristics of major public hospitals in Greece.
Author: Stamatis Kalogirou [aut, cre]
Maintainer: Stamatis Kalogirou <stamatis@lctools.science>

Diff between SpatialAcc versions 0.1-2 dated 2017-08-04 and 0.1-3 dated 2019-07-25

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Package samplingVarEst updated to version 1.4 with previous version 1.3 dated 2018-10-02

Title: Sampling Variance Estimation
Description: Functions to calculate some point estimators and estimating their variance under unequal probability sampling without replacement. Single and two stage sampling designs are considered. Some approximations for the second order inclusion probabilities (joint inclusion probabilities) are available (sample and population based). A variety of Jackknife variance estimators are implemented. Almost every function is written in C (compiled) code for faster results. The functions incorporate some performance improvements for faster results with large datasets.
Author: Emilio Lopez Escobar [aut, cre, cph] <emilio@quantos.mx>, Ernesto Barrios Zamudio [ctb] <ebarrios@itam.mx>, Juan Francisco Munoz Rosas [ctb] <jfmunoz@go.ugr.es>
Maintainer: Emilio Lopez Escobar <emilio@quantos.mx>

Diff between samplingVarEst versions 1.3 dated 2018-10-02 and 1.4 dated 2019-07-25

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Package pcFactorStan updated to version 1.0.2 with previous version 1.0.1 dated 2019-07-23

Title: Stan Models for the Pairwise Comparison Factor Model
Description: Provides convenience functions and pre-programmed Stan models related to the paired comparison factor model. Its purpose is to make fitting paired comparison data using Stan easy.
Author: Joshua N. Pritikin [aut, cre] (<https://orcid.org/0000-0002-9862-5484>), Daniel C. Furr [ctb], Trustees of Columbia University [cph]
Maintainer: Joshua N. Pritikin <jpritikin@pobox.com>

Diff between pcFactorStan versions 1.0.1 dated 2019-07-23 and 1.0.2 dated 2019-07-25

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Package HACSim updated to version 1.0.3 with previous version 1.0.2 dated 2019-06-28

Title: Iterative Extrapolation of Species' Haplotype Accumulation Curves
Description: Performs iterative extrapolation of species' haplotype accumulation curves using a nonparametric stochastic (Monte Carlo) optimization method for assessment of specimen sampling completeness based on the approach of Phillips et al. (2015) <doi:10.1515/dna-2015-0008> and Phillips et al. (2019) <doi:10.1002/ece3.4757>. Any genomic marker can be targeted to assess likely required specimen sample sizes. The method is well-suited to assess sampling sufficiency for DNA barcoding initiatives.
Author: Jarrett D. Phillips [aut, cre], Steven H. French [ctb]
Maintainer: Jarrett D. Phillips <phillipsjarrett1@gmail.com>

Diff between HACSim versions 1.0.2 dated 2019-06-28 and 1.0.3 dated 2019-07-25

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Package durmod updated to version 1.1-1 with previous version 1.1 dated 2019-07-15

Title: Mixed Proportional Hazard Competing Risk Model
Description: Estimation of piecewise constant mixed proportional hazard competing risk model with NPMLE. The model is described in S. Gaure et al. (2007) <doi:10.1016/j.jeconom.2007.01.015>, J. Heckman and B. Singer (1984) <doi:10.2307/1911491>, and B.G. Lindsay (1983) <doi:10.1214/aos/1176346059>.
Author: Simen Gaure [aut, cre] (<https://orcid.org/0000-0001-7251-8747>)
Maintainer: Simen Gaure <simen@gaure.no>

Diff between durmod versions 1.1 dated 2019-07-15 and 1.1-1 dated 2019-07-25

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Package xgboost updated to version 0.90.0.1 with previous version 0.82.1 dated 2019-03-11

Title: Extreme Gradient Boosting
Description: Extreme Gradient Boosting, which is an efficient implementation of the gradient boosting framework from Chen & Guestrin (2016) <doi:10.1145/2939672.2939785>. This package is its R interface. The package includes efficient linear model solver and tree learning algorithms. The package can automatically do parallel computation on a single machine which could be more than 10 times faster than existing gradient boosting packages. It supports various objective functions, including regression, classification and ranking. The package is made to be extensible, so that users are also allowed to define their own objectives easily.
Author: Tianqi Chen [aut], Tong He [aut, cre], Michael Benesty [aut], Vadim Khotilovich [aut], Yuan Tang [aut] (<https://orcid.org/0000-0001-5243-233X>), Hyunsu Cho [aut], Kailong Chen [aut], Rory Mitchell [aut], Ignacio Cano [aut], Tianyi Zhou [aut], Mu Li [aut], Junyuan Xie [aut], Min Lin [aut], Yifeng Geng [aut], Yutian Li [aut], XGBoost contributors [cph] (base XGBoost implementation)
Maintainer: Tong He <hetong007@gmail.com>

Diff between xgboost versions 0.82.1 dated 2019-03-11 and 0.90.0.1 dated 2019-07-25

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Package tesseract updated to version 4.1 with previous version 4.0 dated 2018-11-02

Title: Open Source OCR Engine
Description: Bindings to 'Tesseract' <https://opensource.google.com/projects/tesseract>: a powerful optical character recognition (OCR) engine that supports over 100 languages. The engine is highly configurable in order to tune the detection algorithms and obtain the best possible results.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package diceR updated to version 0.6.0 with previous version 0.5.2 dated 2019-03-08

Title: Diverse Cluster Ensemble in R
Description: Performs cluster analysis using an ensemble clustering framework, Chiu & Talhouk (2018) <doi:10.1186/s12859-017-1996-y>. Results from a diverse set of algorithms are pooled together using methods such as majority voting, K-Modes, LinkCluE, and CSPA. There are options to compare cluster assignments across algorithms using internal and external indices, visualizations such as heatmaps, and significance testing for the existence of clusters.
Author: Derek Chiu [aut, cre], Aline Talhouk [aut], Johnson Liu [ctb, com]
Maintainer: Derek Chiu <dchiu@bccrc.ca>

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Package distr6 updated to version 1.0.1 with previous version 1.0.0 dated 2019-07-19

Title: The Complete R6 Probability Distributions Interface
Description: An R6 object oriented distributions package. Unified interface for 36 probability distributions and 11 kernels including functionality for multiple scientific types. Additionally functionality for composite distributions and numerical imputation. Design patterns including wrappers and decorators are described in Gamma et al. (1994, ISBN:0-201-63361-2). For quick reference of probability distributions including d/p/q/r functions and results we refer to McLaughlin, M. P. (2001). Additionally Devroye (1986, ISBN:0-387-96305-7) for sampling the Dirichlet distribution, Gentle (2009) <doi:10.1007/978-0-387-98144-4> for sampling the Multivariate Normal distribution and Michael et al. (1976) <doi:10.2307/2683801> for sampling the Wald distribution.
Author: Raphael Sonabend [aut, cre] (<https://orcid.org/0000-0001-9225-4654>), Franz Kiraly [aut], Peter Ruckdeschel [ctb] (Author of distr), Matthias Kohl [ctb] (Author of distr), Shen Chen [ctb], Jordan Deenichin [ctb], Chengyang Gao [ctb], Chloe Zhaoyuan Gu [ctb], Yunjie He [ctb], Xiaowen Huang [ctb], Shuhan Liu [ctb], Runlong Yu [ctb], Chijing Zeng [ctb], Qian Zhou [ctb]
Maintainer: Raphael Sonabend <raphael.sonabend.15@ucl.ac.uk>

Diff between distr6 versions 1.0.0 dated 2019-07-19 and 1.0.1 dated 2019-07-25

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Package ChemoSpec updated to version 5.1.48 with previous version 5.1.9 dated 2019-06-09

Title: Exploratory Chemometrics for Spectroscopy
Description: A collection of functions for top-down exploratory data analysis of spectral data including nuclear magnetic resonance (NMR), infrared (IR), Raman, X-ray fluorescence (XRF) and other similar types of spectroscopy. Includes functions for plotting and inspecting spectra, peak alignment, hierarchical cluster analysis (HCA), principal components analysis (PCA) and model-based clustering. Robust methods appropriate for this type of high-dimensional data are available. ChemoSpec is designed for structured experiments, such as metabolomics investigations, where the samples fall into treatment and control groups. Graphical output is formatted consistently for publication quality plots. ChemoSpec is intended to be very user friendly and to help you get usable results quickly. A vignette covering typical operations is available.
Author: Bryan A. Hanson [aut, cre] (<https://orcid.org/0000-0003-3536-8246>), Mike Bostock [cph, ctb] (author of the d3.js library used by plotSpectraJS, http://d3js.org), Matt Keinsley [ctb] (author of initial AOV-PCA code)
Maintainer: Bryan A. Hanson <hanson@depauw.edu>

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Package flobr updated to version 0.2.0 with previous version 0.1.0 dated 2018-11-14

Title: Convert Files to and from Binary Objects (BLOBs)
Description: Converts files to and from flobs. A flob is a file that was read into binary in integer-mode as little endian, saved as the single element of a named list (where the name is the name of the original file) and then serialized before being coerced into a blob. Flobs are useful for writing and reading files to and from databases.
Author: Joe Thorley [aut, cre] (<https://orcid.org/0000-0002-7683-4592>), Poisson Consulting [cph, fnd]
Maintainer: Joe Thorley <joe@poissonconsulting.ca>

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Package UniprotR updated to version 1.0.1 with previous version 1.0.0 dated 2019-07-23

Title: Retrieving Information of Proteins from Uniprot
Description: Connect to Uniprot <https://www.uniprot.org/> to retrieve information about proteins using their accession number such information could be name or taxonomy information.
Author: Ali Mostafa [aut], Mohamed Soudy [aut, cre]
Maintainer: Mohamed Soudy <MohmedSoudy2009@gmail.com>

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Package testthat updated to version 2.2.1 with previous version 2.2.0 dated 2019-07-22

Title: Unit Testing for R
Description: Software testing is important, but, in part because it is frustrating and boring, many of us avoid it. 'testthat' is a testing framework for R that is easy to learn and use, and integrates with your existing 'workflow'.
Author: Hadley Wickham [aut, cre], RStudio [cph, fnd], R Core team [ctb] (Implementation of utils::recover())
Maintainer: Hadley Wickham <hadley@rstudio.com>

Diff between testthat versions 2.2.0 dated 2019-07-22 and 2.2.1 dated 2019-07-25

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Package smooth updated to version 2.5.2 with previous version 2.5.1 dated 2019-06-14

Title: Forecasting Using State Space Models
Description: Functions implementing Single Source of Error state space models for purposes of time series analysis and forecasting. The package includes Exponential Smoothing (Hyndman et al., 2008, <doi: 10.1007/978-3-540-71918-2>), SARIMA (Svetunkov & Boylan, 2019 <doi: 10.1080/00207543.2019.1600764>), Complex Exponential Smoothing (Svetunkov & Kourentzes, 2018, <doi: 10.13140/RG.2.2.24986.29123>), Simple Moving Average (Svetunkov & Petropoulos, 2018 <doi: 10.1080/00207543.2017.1380326>), Vector Exponential Smoothing (de Silva et al., 2010, <doi: 10.1177/1471082X0901000401>) in state space forms, several simulation functions and intermittent demand state space models. It also allows dealing with intermittent demand based on the iETS framework (Svetunkov & Boylan, 2017, <doi: 10.13140/RG.2.2.35897.06242>).
Author: Ivan Svetunkov [aut, cre] (Lecturer at Centre for Marketing Analytics and Forecasting, Lancaster University, UK)
Maintainer: Ivan Svetunkov <ivan@svetunkov.ru>

Diff between smooth versions 2.5.1 dated 2019-06-14 and 2.5.2 dated 2019-07-25

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Package ShrinkCovMat updated to version 1.3.0 with previous version 1.2.0 dated 2017-07-11

Title: Shrinkage Covariance Matrix Estimators
Description: Provides nonparametric Steinian shrinkage estimators of the covariance matrix that are suitable in high dimensional settings, that is when the number of variables is larger than the sample size.
Author: Anestis Touloumis [aut, cre] (0000-0002-5965-1639)
Maintainer: Anestis Touloumis <A.Touloumis@brighton.ac.uk>

Diff between ShrinkCovMat versions 1.2.0 dated 2017-07-11 and 1.3.0 dated 2019-07-25

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Package sars updated to version 1.2.0 with previous version 1.1.2 dated 2019-05-27

Title: Fit and Compare Species-Area Relationship Models Using Multimodel Inference
Description: Implements the basic elements of the multi-model inference paradigm for up to twenty species-area relationship models (SAR), using simple R list-objects and functions, as in Triantis et al. 2012 <DOI:10.1111/j.1365-2699.2011.02652.x>. The package is scalable and users can easily create their own model and data objects. Additional SAR related functions are provided.
Author: Thomas J. Matthews [aut, cre] (<https://orcid.org/0000-0002-7624-244X>), Francois Guilhaumon [aut] (<https://orcid.org/0000-0003-4707-8932>), Kevin Cazelles [rev] (<https://orcid.org/0000-0001-6619-9874>)
Maintainer: Thomas J. Matthews <txm676@gmail.com>

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Package rosetta updated to version 0.1.1 with previous version 0.1.0 dated 2019-07-23

Title: Parallel Use of Statistical Packages in Teaching
Description: When teaching statistics, it can often be desirable to uncouple the content from specific software packages. To ease such efforts, the Rosetta Stats website (<https://rosettastats.com>) allows comparing analyses in different packages. This package is the companion to the Rosetta Stats website, aiming to provide functions that produce output that is similar to output from other statistical packages, thereby facilitating 'software-agnostic' teaching of statistics.
Author: Gjalt-Jorn Peters [aut, cre] (<https://orcid.org/0000-0002-0336-9589>), Ron Pat-El [ctb] (<https://orcid.org/0000-0002-4742-0163>), Peter Verboon [ctb] (<https://orcid.org/0000-0001-8656-0890>)
Maintainer: Gjalt-Jorn Peters <gjalt-jorn@userfriendlyscience.com>

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Package MBNMAdose updated to version 0.2.3 with previous version 0.2.2 dated 2019-07-23

Title: Run Dose-Response MBNMA Models
Description: Fits Bayesian dose-response model-based network meta-analysis (MBNMA) that incorporate multiple doses within an agent by modelling different dose-response functions, as described by Mawdsley et al. (2016) <doi:10.1002/psp4.12091>. By modelling dose-response relationships this can connect networks of evidence that might otherwise be disconnected, and can improve precision on treatment estimates. Several common dose-response functions are provided; others may be added by the user. Various characteristics and assumptions can be flexibly added to the models, such as shared class effects. The consistency of direct and indirect evidence in the network can be assessed using unrelated mean effects models and/or by node-splitting at the treatment level.
Author: Hugo Pedder [aut, cre], David Mawdsley [rev], Nicky Welton [rev], Sofia Dias [rev], Meg Bennetts [rev], Martin Boucher [rev], Adil Karim [ctb]
Maintainer: Hugo Pedder <hugopedder@gmail.com>

Diff between MBNMAdose versions 0.2.2 dated 2019-07-23 and 0.2.3 dated 2019-07-25

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Package Rlabkey updated to version 2.3.1 with previous version 2.3.0 dated 2019-05-25

Title: Data Exchange Between R and 'LabKey' Server
Description: The 'LabKey' client library for R makes it easy for R users to load live data from a 'LabKey' Server, <http://www.labkey.com/>, into the R environment for analysis, provided users have permissions to read the data. It also enables R users to insert, update, and delete records stored on a 'LabKey' Server, provided they have appropriate permissions to do so.
Author: Peter Hussey
Maintainer: Cory Nathe <cnathe@labkey.com>

Diff between Rlabkey versions 2.3.0 dated 2019-05-25 and 2.3.1 dated 2019-07-25

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New package mlr3 with initial version 0.1.1
Package: mlr3
Title: Machine Learning in R - Next Generation
Version: 0.1.1
Authors@R: c(person(given = "Michel", family = "Lang", role = c("cre", "aut"), email = "michellang@gmail.com", comment = c(ORCID = "0000-0001-9754-0393")), person(given = "Bernd", family = "Bischl", role = "aut", email = "bernd_bischl@gmx.net", comment = c(ORCID = "0000-0001-6002-6980")), person(given = "Jakob", family = "Richter", role = "aut", email = "jakob1richter@gmail.com", comment = c(ORCID = "0000-0003-4481-5554")), person(given = "Patrick", family = "Schratz", role = "aut", email = "patrick.schratz@gmail.com", comment = c(ORCID = "0000-0003-0748-6624")), person(given = "Giuseppe", family = "Casalicchio", role = "ctb", email = "giuseppe.casalicchio@stat.uni-muenchen.de", comment = c(ORCID = "0000-0001-5324-5966")), person(given = "Stefan", family = "Coors", role = "ctb", email = "mail@stefancoors.de", comment = c(ORCID = "0000-0002-7465-2146")), person(given = "Quay", family = "Au", role = "ctb", email = "quayau@gmail.com", comment = c(ORCID = "0000-0002-5252-8902")), person(given = "Martin", family = "Binder", role = "aut", email = "mlr.developer@mb706.com"))
Description: Efficient, object-oriented programming on the building blocks of machine learning. Provides 'R6' objects for tasks, learners, resamplings, and measures. The package is geared towards scalability and larger datasets by supporting parallelization and out-of-memory data-backends like databases. While 'mlr3' focuses on the core computational operations, add-on packages provide additional functionality.
License: LGPL-3
URL: https://github.com/mlr-org/mlr3
BugReports: https://github.com/mlr-org/mlr3/issues
Depends: R (>= 3.1.0)
Imports: backports, checkmate (>= 1.9.3), data.table, digest, lgr (>= 0.3.0), Metrics, mlbench, mlr3misc (>= 0.1.1), paradox, R6
Suggests: callr, datasets, devtools, evaluate, future (>= 1.9.0), future.apply (>= 1.1.0), future.callr, Matrix, rpart, testthat, titanic
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
RoxygenNote: 6.1.1
Collate: 'mlr_reflections.R' 'BenchmarkResult.R' 'DataBackend.R' 'DataBackendCbind.R' 'DataBackendDataTable.R' 'DataBackendMatrix.R' 'DataBackendRbind.R' 'Generator.R' 'mlr_generators.R' 'Generator2DNormals.R' 'GeneratorFriedman1.R' 'GeneratorSmiley.R' 'GeneratorXor.R' 'Learner.R' 'LearnerClassif.R' 'mlr_learners.R' 'LearnerClassifDebug.R' 'LearnerClassifFeatureless.R' 'LearnerClassifRpart.R' 'LearnerRegr.R' 'LearnerRegrFeatureless.R' 'LearnerRegrRpart.R' 'Measure.R' 'MeasureClassif.R' 'mlr_measures.R' 'MeasureClassifACC.R' 'MeasureClassifAUC.R' 'MeasureClassifCE.R' 'MeasureClassifConfusion.R' 'MeasureClassifCosts.R' 'MeasureClassifF1.R' 'MeasureElapsedTime.R' 'MeasureOOBError.R' 'MeasureRegr.R' 'MeasureRegrMAE.R' 'MeasureRegrMSE.R' 'MeasureRegrRMSE.R' 'MeasureSelectedFeatures.R' 'Prediction.R' 'PredictionClassif.R' 'PredictionRegr.R' 'ResampleResult.R' 'Resampling.R' 'mlr_resamplings.R' 'ResamplingBootstrap.R' 'ResamplingCV.R' 'ResamplingCustom.R' 'ResamplingHoldout.R' 'ResamplingRepeatedCV.R' 'ResamplingSubsampling.R' 'Task.R' 'TaskSupervised.R' 'TaskClassif.R' 'mlr_tasks.R' 'TaskClassif_german_credit.R' 'TaskClassif_iris.R' 'TaskClassif_pima.R' 'TaskClassif_sonar.R' 'TaskClassif_spam.R' 'TaskClassif_wine.R' 'TaskClassif_zoo.R' 'TaskRegr.R' 'TaskRegr_boston_housing.R' 'TaskRegr_mtcars.R' 'Task_mutators.R' 'as_data_backend.R' 'assertions.R' 'benchmark.R' 'cast_from_dict.R' 'expand_grid.R' 'helper-parallelization.R' 'helper.R' 'mlr_control.R' 'reexports.R' 'resample.R' 'worker.R' 'zzz.R'
Packaged: 2019-07-25 07:22:53 UTC; lang
Author: Michel Lang [cre, aut] (<https://orcid.org/0000-0001-9754-0393>), Bernd Bischl [aut] (<https://orcid.org/0000-0001-6002-6980>), Jakob Richter [aut] (<https://orcid.org/0000-0003-4481-5554>), Patrick Schratz [aut] (<https://orcid.org/0000-0003-0748-6624>), Giuseppe Casalicchio [ctb] (<https://orcid.org/0000-0001-5324-5966>), Stefan Coors [ctb] (<https://orcid.org/0000-0002-7465-2146>), Quay Au [ctb] (<https://orcid.org/0000-0002-5252-8902>), Martin Binder [aut]
Maintainer: Michel Lang <michellang@gmail.com>
Repository: CRAN
Date/Publication: 2019-07-25 14:10:02 UTC

More information about mlr3 at CRAN
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Package SimCorMultRes updated to version 1.7.0 with previous version 1.6.0 dated 2018-07-10

Title: Simulates Correlated Multinomial Responses
Description: Simulates correlated multinomial responses conditional on a marginal model specification.
Author: Anestis Touloumis [aut, cre] (0000-0002-5965-1639)
Maintainer: Anestis Touloumis <A.Touloumis@brighton.ac.uk>

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Package UncertainInterval updated to version 0.5.0 with previous version 0.4.7 dated 2018-04-03

Title: Uncertain Interval Methods for Three-Way Cut-Point Determination in Tests
Description: Functions for the determination of an uncertain interval, that is, a range of test scores that is inconclusive and does not allow a classification other than 'Uncertain' (Reference: J.A. Landsheer (2016) <doi:10.1371/journal.pone.0166007>).
Author: Hans Landsheer [aut, cre]
Maintainer: Hans Landsheer <j.a.landsheer@uu.nl>

Diff between UncertainInterval versions 0.4.7 dated 2018-04-03 and 0.5.0 dated 2019-07-25

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Package ordinalClust updated to version 1.3.4 with previous version 1.3.3 dated 2019-06-19

Title: Ordinal Data Clustering, Co-Clustering and Classification
Description: Ordinal data classification, clustering and co-clustering using model-based approach with the Bos distribution for ordinal data (Christophe Biernacki and Julien Jacques (2016) <doi:10.1007/s11222-015-9585-2>).
Author: Margot Selosse, Julien Jacques, Christophe Biernacki
Maintainer: Margot Selosse <margot.selosse@gmail.com>

Diff between ordinalClust versions 1.3.3 dated 2019-06-19 and 1.3.4 dated 2019-07-25

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Permanent link

Package magick updated to version 2.1 with previous version 2.0 dated 2018-10-05

Title: Advanced Graphics and Image-Processing in R
Description: Bindings to 'ImageMagick': the most comprehensive open-source image processing library available. Supports many common formats (png, jpeg, tiff, pdf, etc) and manipulations (rotate, scale, crop, trim, flip, blur, etc). All operations are vectorized via the Magick++ STL meaning they operate either on a single frame or a series of frames for working with layers, collages, or animation. In RStudio images are automatically previewed when printed to the console, resulting in an interactive editing environment. The latest version of the package includes a native graphics device for creating in-memory graphics or drawing onto images using pixel coordinates.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package bs4Dash updated to version 0.4.0 with previous version 0.3.0 dated 2019-04-06

Title: A 'Bootstrap 4' Version of 'shinydashboard'
Description: Make 'Bootstrap 4' dashboards. Use the full power of 'AdminLTE3', a dashboard template built on top of 'Bootstrap 4' <https://github.com/almasaeed2010/AdminLTE/tree/v3-dev>.
Author: David Granjon [aut, cre], RinteRface [cph], Almasaeed Studio [ctb, cph] (AdminLTE3 theme for Bootstrap 4), Winston Chang [ctb, cph] (Utils functions from shinydashboard), Thomas Park [ctb, cph] (Bootswatch Sketchy theme CSS)
Maintainer: David Granjon <dgranjon@ymail.com>

Diff between bs4Dash versions 0.3.0 dated 2019-04-06 and 0.4.0 dated 2019-07-25

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Package Rcpp updated to version 1.0.2 with previous version 1.0.1 dated 2019-03-17

Title: Seamless R and C++ Integration
Description: The 'Rcpp' package provides R functions as well as C++ classes which offer a seamless integration of R and C++. Many R data types and objects can be mapped back and forth to C++ equivalents which facilitates both writing of new code as well as easier integration of third-party libraries. Documentation about 'Rcpp' is provided by several vignettes included in this package, via the 'Rcpp Gallery' site at <http://gallery.rcpp.org>, the paper by Eddelbuettel and Francois (2011, <doi:10.18637/jss.v040.i08>), the book by Eddelbuettel (2013, <doi:10.1007/978-1-4614-6868-4>) and the paper by Eddelbuettel and Balamuta (2018, <doi:10.1080/00031305.2017.1375990>); see 'citation("Rcpp")' for details.
Author: Dirk Eddelbuettel, Romain Francois, JJ Allaire, Kevin Ushey, Qiang Kou, Nathan Russell, Douglas Bates and John Chambers
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between Rcpp versions 1.0.1 dated 2019-03-17 and 1.0.2 dated 2019-07-25

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Package mistr updated to version 0.0.2 with previous version 0.0.1 dated 2018-12-10

Title: Mixture and Composite Distributions
Description: A flexible computational framework for mixture distributions with the focus on the composite models.
Author: Lukas Sablica [aut, cre], Kurt Hornik [aut] (<https://orcid.org/0000-0003-4198-9911>)
Maintainer: Lukas Sablica <lsablica@wu.ac.at>

Diff between mistr versions 0.0.1 dated 2018-12-10 and 0.0.2 dated 2019-07-25

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Package enrichR updated to version 2.0 with previous version 1.0 dated 2017-04-02

Title: Provides an R Interface to 'Enrichr'
Description: Provides an R interface to all 'Enrichr' databases. 'Enrichr' is a web-based tool for analysing gene sets and returns any enrichment of common annotated biological features. Quoting from their website 'Enrichment analysis is a computational method for inferring knowledge about an input gene set by comparing it to annotated gene sets representing prior biological knowledge.' See (<http://amp.pharm.mssm.edu/Enrichr/>) for further details.
Author: Wajid Jawaid [aut, cre]
Maintainer: Wajid Jawaid <wj241@alumni.cam.ac.uk>

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Package PRIMME updated to version 3.0-0 with previous version 2.2-0 dated 2018-01-12

Title: Eigenvalues and Singular Values and Vectors from Large Matrices
Description: R interface to PRIMME, a C library for computing a few eigenvalues and their corresponding eigenvectors of a real symmetric or complex Hermitian matrix. It can also compute singular values and vectors of a square or rectangular matrix. It can find largest, smallest, or interior singular/eigenvalues and can use preconditioning to accelerate convergence.
Author: Eloy Romero [aut, cre], Andreas Stathopoulos [aut], College of William & Mary [cph]
Maintainer: Eloy Romero <eloy@cs.wm.edu>

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 PRIMME-3.0-0/PRIMME/src/primme/eigs/inner_solve.c             | 1087 +--
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 PRIMME-3.0-0/PRIMME/src/primme/eigs/main_iter.c               | 1530 ++--
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 PRIMME-3.0-0/PRIMME/src/primme/eigs/restart.c                 | 2393 ++----
 PRIMME-3.0-0/PRIMME/src/primme/eigs/restart.h                 | 2082 +++++
 PRIMME-3.0-0/PRIMME/src/primme/eigs/solve_projection.c        |  686 +
 PRIMME-3.0-0/PRIMME/src/primme/eigs/solve_projection.h        |  474 +
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 PRIMME-3.0-0/PRIMME/src/primme/include/auxiliary.h            | 1777 ++++
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 PRIMME-3.0-0/PRIMME/src/primmeR.cpp                           |  104 
 81 files changed, 21281 insertions(+), 6727 deletions(-)

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New package eia with initial version 0.3.2
Package: eia
Title: API Wrapper for 'US Energy Information Administration' Open Data
Version: 0.3.2
Authors@R: c( person("Matthew", "Leonawicz", email = "matt_leonawicz@esource.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-9452-2771")), person(given = "E Source", role = c("cph", "fnd")) )
Description: Provides API access to data from the 'US Energy Information Administration' ('EIA') <https://www.eia.gov/>. Use of the API requires a free API key obtainable at <https://www.eia.gov/opendata/register.php>. The package includes functions for searching 'EIA' data categories and importing time series and geoset time series datasets. Datasets returned by these functions are provided in a tidy format or alternatively in more raw form. It also offers helper functions for working with 'EIA' date strings and time formats and for inspecting different summaries of series metadata. The package also provides control over API key storage and caching of API request results.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/leonawicz/eia
BugReports: https://github.com/leonawicz/eia/issues
Date: 2019-07-11
Imports: tibble, magrittr, httr, jsonlite, dplyr, purrr, memoise, lubridate
Suggests: testthat, knitr, rmarkdown, covr, lintr, tidyr
VignetteBuilder: knitr
Language: en-US
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-07-22 14:23:07 UTC; Matt
Author: Matthew Leonawicz [aut, cre] (<https://orcid.org/0000-0001-9452-2771>), E Source [cph, fnd]
Maintainer: Matthew Leonawicz <matt_leonawicz@esource.com>
Repository: CRAN
Date/Publication: 2019-07-25 09:30:02 UTC

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Package SCVA updated to version 1.3.0 with previous version 1.2.1 dated 2017-06-01

Title: Single-Case Visual Analysis
Description: Make graphical representations of single case data and transform graphical displays back to raw data, as discussed in Bulte and Onghena (2013) <doi:10.22237/jmasm/1383280020>. The package also includes tools for visually analyzing single-case data, by displaying central location, variability and trend.
Author: Isis Bulte and Patrick Onghena
Maintainer: Tamal Kumar De <tamalkumar.de@kuleuven.be>

Diff between SCVA versions 1.2.1 dated 2017-06-01 and 1.3.0 dated 2019-07-25

 DESCRIPTION         |   13 -
 MD5                 |   24 +--
 NAMESPACE           |    8 -
 R/graph.CL.R        |   88 ++++++------
 R/graph.R           |   18 +-
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 R/graph.VAR.R       |  282 ++++++++++++++++++++-------------------
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 14 files changed, 444 insertions(+), 397 deletions(-)

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New package vwline with initial version 0.2-2
Package: vwline
Type: Package
Title: Draw Variable-Width Lines
Version: 0.2-2
Author: Paul Murrell
Maintainer: Paul Murrell <paul@stat.auckland.ac.nz>
Description: Provides R functions to draw lines and curves with the width of the curve allowed to vary along the length of the curve.
Depends: grid
Imports: grDevices, stats, polyclip, gridBezier
URL: https://github.com/pmur002/vwline, https://stattech.wordpress.fos.auckland.ac.nz/2017/05/19/2017-01-variable-width-lines-in-r/, https://stattech.wordpress.fos.auckland.ac.nz/2017/06/07/2017-02-variable-width-line-ends-and-line-joins/, https://stattech.wordpress.fos.auckland.ac.nz/2017/06/15/2017-03-offset-curves-for-variable-width-x-splines/, https://stattech.wordpress.fos.auckland.ac.nz/2018/11/02/2018-11-variable-width-bezier-splines-in-r/
ByteCompile: TRUE
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2019-07-22 03:14:37 UTC; pmur002
Repository: CRAN
Date/Publication: 2019-07-25 08:50:02 UTC

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Package SCRT updated to version 1.3.0 with previous version 1.2.2 dated 2018-03-07

Title: Single-Case Randomization Tests
Description: Design single-case phase, alternation and multiple-baseline experiments, and conduct randomization tests on data gathered by means of such designs, as discussed in Bulte and Onghena (2013) <doi:10.22237/jmasm/1383280020>.
Author: Isis Bulte and Patrick Onghena
Maintainer: Tamal Kumar De <tamalkumar.de@kuleuven.be>

Diff between SCRT versions 1.2.2 dated 2018-03-07 and 1.3.0 dated 2019-07-25

 DESCRIPTION                    |   10 -
 MD5                            |   28 +--
 R/distribution.random.R        |  219 +++++++++-----------------
 R/distribution.systematic.R    |  195 ++++++++---------------
 R/graph1.R                     |   18 +-
 R/observed.R                   |   90 ++++++----
 R/pvalue.random.R              |  325 ++++++++++++++++-----------------------
 R/pvalue.systematic.R          |  337 +++++++++++++++++++----------------------
 man/SCRT-package.Rd            |    4 
 man/distribution.random.Rd     |    8 
 man/distribution.systematic.Rd |    8 
 man/graph1.Rd                  |    5 
 man/observed.Rd                |    6 
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 15 files changed, 557 insertions(+), 712 deletions(-)

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Package SCMA updated to version 1.3.0 with previous version 1.2.1 dated 2017-10-26

Title: Single-Case Meta-Analysis
Description: Perform meta-analysis of single-case experiments, including calculating various effect size measures (SMD, PND, PEM and NAP) and probability combining (additive and multiplicative method), as discussed in Bulte and Onghena (2013) <doi:10.22237/jmasm/1383280020>.
Author: Isis Bulte and Patrick Onghena
Maintainer: Tamal Kumar De <tamalkumar.de@kuleuven.be>

Diff between SCMA versions 1.2.1 dated 2017-10-26 and 1.3.0 dated 2019-07-25

 DESCRIPTION         |   14 +++++++-------
 MD5                 |   10 +++++-----
 NAMESPACE           |    2 +-
 R/ES.R              |   19 +++++++++++++++++--
 man/ES.Rd           |    5 ++++-
 man/SCMA-package.Rd |    4 ++--
 6 files changed, 36 insertions(+), 18 deletions(-)

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Package periscope updated to version 0.4.3 with previous version 0.4.2 dated 2019-04-30

Title: Enterprise Streamlined 'Shiny' Application Framework
Description: An enterprise-targeted scalable and UI-standardized 'shiny' framework including a variety of developer convenience functions with the goal of both streamlining robust application development while assisting with creating a consistent user experience regardless of application or developer.
Author: Constance Brett [aut, cre], Isaac Neuhaus [aut] (canvasXpress JavaScript Library Maintainer), Ger Inberg [ctb], Bristol-Meyers Squibb (BMS) [cph]
Maintainer: Constance Brett <connie@aggregate-genius.com>

Diff between periscope versions 0.4.2 dated 2019-04-30 and 0.4.3 dated 2019-07-25

 DESCRIPTION                            |    6 +++---
 MD5                                    |   16 ++++++++--------
 NEWS.md                                |    3 +++
 R/downloadFile.R                       |    7 ++++++-
 build/vignette.rds                     |binary
 inst/doc/downloadFile-module.html      |    4 ++--
 inst/doc/downloadablePlot-module.html  |    4 ++--
 inst/doc/downloadableTable-module.html |    4 ++--
 inst/doc/new-application.html          |    4 ++--
 9 files changed, 28 insertions(+), 20 deletions(-)

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Package actuar updated to version 2.3-2 with previous version 2.3-1 dated 2018-03-19

Title: Actuarial Functions and Heavy Tailed Distributions
Description: Functions and data sets for actuarial science: modeling of loss distributions; risk theory and ruin theory; simulation of compound models, discrete mixtures and compound hierarchical models; credibility theory. Support for many additional probability distributions to model insurance loss amounts and loss frequency: 19 continuous heavy tailed distributions; the Poisson-inverse Gaussian discrete distribution; zero-truncated and zero-modified extensions of the standard discrete distributions. Support for phase-type distributions commonly used to compute ruin probabilities.
Author: Vincent Goulet [cre, aut], Sébastien Auclair [ctb], Christophe Dutang [aut], Nicholas Langevin [ctb], Xavier Milhaud [ctb], Tommy Ouellet [ctb], Alexandre Parent [ctb], Mathieu Pigeon [aut], Louis-Philippe Pouliot [ctb]
Maintainer: Vincent Goulet <vincent.goulet@act.ulaval.ca>

Diff between actuar versions 2.3-1 dated 2018-03-19 and 2.3-2 dated 2019-07-25

 DESCRIPTION                          |   14 ++++---
 MD5                                  |   68 +++++++++++++++++++----------------
 README.md                            |only
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 man/CTE.Rd                           |    1 
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 src/logarithmic.c                    |    8 ++--
 src/zmgeom.c                         |    3 +
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 38 files changed, 203 insertions(+), 145 deletions(-)

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Package newsmap updated to version 0.6.8 with previous version 0.6.7 dated 2019-04-23

Title: Semi-Supervised Model for Geographical Document Classification
Description: Semi-supervised model for geographical document classification (Watanabe 2018) <doi:10.1080/21670811.2017.1293487>. This package currently contains seed dictionaries in English, German, French, Spanish, Japanese, Russian and Chinese (Simplified and Traditional).
Author: Kohei Watanabe [aut, cre, cph], Stefan Müller [aut], Dani Madrid-Morales [aut], Katerina Tertytchnaya [aut], Ke Cheng [aut], Chung-hong Chan [aut], Claude Grasland [aut], Giuseppe Carteny [aut]
Maintainer: Kohei Watanabe <watanabe.kohei@gmail.com>

Diff between newsmap versions 0.6.7 dated 2019-04-23 and 0.6.8 dated 2019-07-25

 DESCRIPTION                           |   14 ++++++++------
 MD5                                   |   12 +++++++-----
 NEWS.md                               |    4 ++++
 R/data.R                              |    8 ++++++++
 README.md                             |   25 ++++++++++++++-----------
 data/data_dictionary_newsmap_it.RData |only
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 tests/testthat/test-data.R            |    3 +++
 8 files changed, 44 insertions(+), 22 deletions(-)

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Package ChemoSpecUtils updated to version 0.3.39 with previous version 0.3.20 dated 2019-06-09

Title: Functions Supporting Packages ChemoSpec and ChemoSpec2D
Description: Functions supporting the common needs of packages 'ChemoSpec' and 'ChemoSpec2D'.
Author: Bryan A. Hanson [aut, cre] (<https://orcid.org/0000-0003-3536-8246>)
Maintainer: Bryan A. Hanson <hanson@depauw.edu>

Diff between ChemoSpecUtils versions 0.3.20 dated 2019-06-09 and 0.3.39 dated 2019-07-25

 ChemoSpecUtils-0.3.20/ChemoSpecUtils/tests/testthat           |only
 ChemoSpecUtils-0.3.20/ChemoSpecUtils/tests/testthat.R         |only
 ChemoSpecUtils-0.3.39/ChemoSpecUtils/DESCRIPTION              |   14 +-
 ChemoSpecUtils-0.3.39/ChemoSpecUtils/MD5                      |   67 +++++-----
 ChemoSpecUtils-0.3.39/ChemoSpecUtils/NEWS.md                  |   10 +
 ChemoSpecUtils-0.3.39/ChemoSpecUtils/R/chkSpectra.R           |    2 
 ChemoSpecUtils-0.3.39/ChemoSpecUtils/R/chkSpectra.Spectra.R   |    8 +
 ChemoSpecUtils-0.3.39/ChemoSpecUtils/R/chkSpectra.Spectra2D.R |    8 +
 ChemoSpecUtils-0.3.39/ChemoSpecUtils/R/conColScheme.R         |    2 
 ChemoSpecUtils-0.3.39/ChemoSpecUtils/R/hcaScores.R            |   27 ++--
 ChemoSpecUtils-0.3.39/ChemoSpecUtils/R/plotScores.R           |    8 -
 ChemoSpecUtils-0.3.39/ChemoSpecUtils/R/plotScree.R            |    2 
 ChemoSpecUtils-0.3.39/ChemoSpecUtils/R/remGrpSam.R            |    1 
 ChemoSpecUtils-0.3.39/ChemoSpecUtils/R/removeFreq.R           |    2 
 ChemoSpecUtils-0.3.39/ChemoSpecUtils/R/removeGroup.R          |    2 
 ChemoSpecUtils-0.3.39/ChemoSpecUtils/R/removeSample.R         |    2 
 ChemoSpecUtils-0.3.39/ChemoSpecUtils/R/rowDist.R              |    2 
 ChemoSpecUtils-0.3.39/ChemoSpecUtils/R/scorePlot.R            |   12 +
 ChemoSpecUtils-0.3.39/ChemoSpecUtils/R/sumGroups.R            |    2 
 ChemoSpecUtils-0.3.39/ChemoSpecUtils/R/sumSpectra.R           |    2 
 ChemoSpecUtils-0.3.39/ChemoSpecUtils/R/updateGroups.R         |    4 
 ChemoSpecUtils-0.3.39/ChemoSpecUtils/inst                     |only
 ChemoSpecUtils-0.3.39/ChemoSpecUtils/man/chkSpectra.Rd        |    2 
 ChemoSpecUtils-0.3.39/ChemoSpecUtils/man/conColScheme.Rd      |    2 
 ChemoSpecUtils-0.3.39/ChemoSpecUtils/man/hcaScores.Rd         |   27 ++--
 ChemoSpecUtils-0.3.39/ChemoSpecUtils/man/plotScores.Rd        |    8 -
 ChemoSpecUtils-0.3.39/ChemoSpecUtils/man/plotScree.Rd         |    2 
 ChemoSpecUtils-0.3.39/ChemoSpecUtils/man/removeFreq.Rd        |    2 
 ChemoSpecUtils-0.3.39/ChemoSpecUtils/man/removeGroup.Rd       |    2 
 ChemoSpecUtils-0.3.39/ChemoSpecUtils/man/removeSample.Rd      |    2 
 ChemoSpecUtils-0.3.39/ChemoSpecUtils/man/sumGroups.Rd         |    2 
 ChemoSpecUtils-0.3.39/ChemoSpecUtils/man/sumSpectra.Rd        |    2 
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 ChemoSpecUtils-0.3.39/ChemoSpecUtils/tests/tinytest.R         |only
 34 files changed, 117 insertions(+), 115 deletions(-)

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