Wed, 15 Nov 2017

Package smooth updated to version 2.2.1 with previous version 2.2.0 dated 2017-10-27

Title: Forecasting Using Smoothing Functions
Description: The set of smoothing functions used for time series analysis and in forecasting. Currently the package includes exponential smoothing models and SARIMA in state-space form + several simulation functions.
Author: Ivan Svetunkov [aut, cre] (Lecturer at Lancaster Centre for Marketing Analytics and Forecasting, UK)
Maintainer: Ivan Svetunkov <ivan@svetunkov.ru>

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Package CovTools updated to version 0.2.1 with previous version 0.2.0 dated 2017-11-08

Title: Statistical Tools for Covariance Analysis
Description: Covariance is of universal prevalence across various disciplines within statistics. We provide a rich collection of geometric and inferential tools for convenient analysis of covariance structures, topics including distance measures, mean covariance estimator, covariance hypothesis test for one-sample and two-sample cases, and covariance estimation. For an introduction to covariance in multivariate statistical analysis, see Schervish (1987) <doi:10.1214/ss/1177013111>.
Author: Kyoungjae Lee [aut], Lizhen Lin [ctb], Kisung You [aut, cre]
Maintainer: Kisung You <kyou@nd.edu>

Diff between CovTools versions 0.2.0 dated 2017-11-08 and 0.2.1 dated 2017-11-15

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Package TOSTER updated to version 0.3 with previous version 0.2.4 dated 2017-09-02

Title: Two One-Sided Tests (TOST) Equivalence Testing
Description: Two one-sided tests (TOST) procedure to test equivalence for t-tests, correlations, differences between proportions, and meta-analyses, including power analysis for t-tests and correlations. Allows you to specify equivalence bounds in raw scale units or in terms of effect sizes. See: Lakens (2017) <doi:10.1177/1948550617697177>.
Author: Daniel Lakens <D.Lakens@tue.nl>
Maintainer: Daniel Lakens <D.Lakens@tue.nl>

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Package rpicosat updated to version 1.0.1 with previous version 1.0.0 dated 2017-11-14

Title: R Bindings for the 'PicoSAT' SAT Solver
Description: Bindings for the 'PicoSAT' solver to solve Boolean satisfiability problems (SAT). The boolean satisfiability problem asks the question if a given boolean formula can be TRUE; i.e. does there exist an assignment of TRUE/FALSE for each variable such that the whole formula is TRUE? The package bundles 'PicoSAT' solver release 965 <http://www.fmv.jku.at/picosat/>.
Author: Dirk Schumacher [aut, cre], Armin Biere [ctb, cph] (Author and copyright holder of included PicoSAT code)
Maintainer: Dirk Schumacher <mail@dirk-schumacher.net>

Diff between rpicosat versions 1.0.0 dated 2017-11-14 and 1.0.1 dated 2017-11-15

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New package promote with initial version 1.0.0
Package: promote
Type: Package
Title: Client for the 'Alteryx Promote' API
Version: 1.0.0
Date: 2017-11-14
Author: Paul E. Promote <promotedev@alteryx.com>
Maintainer: Paul E. Promote <promotedev@alteryx.com>
Description: Deploy, maintain, and invoke predictive models using the 'Alteryx Promote' REST API. 'Alteryx Promote' is available at the URL: <https://www.alteryx.com/products/alteryx-promote>.
Depends: R (>= 3.2.0)
URL: https://github.com/alteryx/promote-r-client
Imports: httr, jsonlite, stringr,
License: FreeBSD
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-11-15 15:47:48 UTC; coristig
Repository: CRAN
Date/Publication: 2017-11-15 18:49:37 UTC

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Package openEBGM updated to version 0.3.0 with previous version 0.2.0 dated 2017-07-31

Title: EBGM Scores for Mining Large Contingency Tables
Description: An implementation of DuMouchel's (1999) <doi:10.1080/00031305.1999.10474456> Bayesian data mining method for the market basket problem. Calculates Empirical Bayes Geometric Mean (EBGM) and quantile scores from the posterior distribution using the Gamma-Poisson Shrinker (GPS) model to find unusually large cell counts in large, sparse contingency tables. Can be used to find unusually high reporting rates of adverse events associated with products. In general, can be used to mine any database where the co-occurrence of two variables or items is of interest. Also calculates relative and proportional reporting ratios. Builds on the work of the 'PhViD' package, from which much of the code is derived. Some of the added features include stratification to adjust for confounding variables and data squashing to improve computational efficiency.
Author: John Ihrie [cre, aut], Travis Canida [aut], Ismaïl Ahmed [ctb] (author of 'PhViD' package (derived code)), Antoine Poncet [ctb] (author of 'PhViD' package (derived code))
Maintainer: John Ihrie <John.Ihrie@fda.hhs.gov>

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Package meteoland updated to version 0.6.7 with previous version 0.6.4 dated 2017-09-05

Title: Landscape Meteorology Tools
Description: Functions to estimate weather variables at any position of a landscape.
Author: Miquel De Cáceres [aut, cre], Nicolas Martin [aut], Víctor Granda [aut], Antoine Cabon [aut]
Maintainer: Miquel De Cáceres <miquelcaceres@gmail.com>

Diff between meteoland versions 0.6.4 dated 2017-09-05 and 0.6.7 dated 2017-11-15

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Package Matrix updated to version 1.2-12 with previous version 1.2-11 dated 2017-08-16

Title: Sparse and Dense Matrix Classes and Methods
Description: A rich hierarchy of matrix classes, including triangular, symmetric, and diagonal matrices, both dense and sparse and with pattern, logical and numeric entries. Numerous methods for and operations on these matrices, using 'LAPACK' and 'SuiteSparse' libraries.
Author: Douglas Bates [aut], Martin Maechler [aut, cre], Timothy A. Davis [ctb] (SuiteSparse and 'cs' C libraries, notably CHOLMOD, AMD; collaborators listed in dir(pattern = '^[A-Z]+[.]txt$', full.names=TRUE, system.file('doc', 'SuiteSparse', package='Matrix'))), Jens Oehlschlägel [ctb] (initial nearPD()), Jason Riedy [ctb] (condest() and onenormest() for octave, Copyright: Regents of the University of California), R Core Team [ctb] (base R matrix implementation)
Maintainer: Martin Maechler <mmaechler+Matrix@gmail.com>

Diff between Matrix versions 1.2-11 dated 2017-08-16 and 1.2-12 dated 2017-11-15

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Package matchMulti updated to version 1.1.6 with previous version 1.1.5 dated 2016-08-26

Title: Optimal Multilevel Matching using a Network Algorithm
Description: Performs multilevel matches for data with cluster-level treatments and individual-level outcomes using a network optimization algorithm. Functions for checking balance at the cluster and individual levels are also provided, as are methods for permutation-inference-based outcome analysis. Details in Pimentel et al. (2017+), forthcoming in the Annals of Applied Statistics.
Author: Luke Keele, Sam Pimentel, and Paul Rosenbaum
Maintainer: Sam Pimentel <spi@berkeley.edu>

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Package jmvcore updated to version 0.8.1.6 with previous version 0.8 dated 2017-09-07

Title: Dependencies for the 'jamovi' Framework
Description: A framework for creating rich interactive analyses for the jamovi platform (see <https://www.jamovi.org> for more information).
Author: Jonathon Love
Maintainer: Jonathon Love <jon@thon.cc>

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Package IQCC updated to version 0.7 with previous version 0.6 dated 2014-04-22

Title: Improved Quality Control Charts
Description: Builds statistical control charts with exact limits for univariate and multivariate cases.
Author: Flavio Barros [aut, cre], Emanuel Barbosa [ctb], Elias Goncalves [ctb], Daniela Recchia [ctb]
Maintainer: Flavio Barros <flaviomargarito@gmail.com>

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New package IndepTest with initial version 0.0.6
Package: IndepTest
Type: Package
Title: Nonparametric Independence Tests Based on Entropy Estimation
Version: 0.0.6
Date: 2017-11-15
Author: Thomas B. Berrett <t.berrett@statslab.cam.ac.uk> [aut], Daniel J. Grose <dan.grose@lancaster.ac.uk> [cre,ctb], Richard J. Samworth <r.samworth@statslab.cam.ac.uk> [aut]
Maintainer: Daniel Grose <dan.grose@lancaster.ac.uk>
Description: Implementations of the weighted Kozachenko-Leonenko entropy estimator and independence tests based on this estimator, (Kozachenko and Leonenko (1987) <http://mi.mathnet.ru/eng/ppi797>). Also includes a goodness-of-fit test for a linear model which is an independence test between covariates and errors.
Depends: FNN,mvtnorm
Imports: Rdpack
RdMacros: Rdpack
License: GPL
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-11-15 15:42:45 UTC; grosedj1
Repository: CRAN
Date/Publication: 2017-11-15 18:56:58 UTC

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New package icensBKL with initial version 1.1
Package: icensBKL
Version: 1.1
Date: 2017-11-15
Title: Accompanion to the Book on Interval Censoring by Bogaerts, Komarek, and Lesaffre
Author: Arnošt Komárek <arnost.komarek@mff.cuni.cz>, Kris Bogaerts <kris.bogaerts@kuleuven.be>, Emmanuel Lesaffre <emmanuel.lesaffre@kuleuven.be>
Maintainer: Arnošt Komárek <arnost.komarek@mff.cuni.cz>
Depends: R (>= 3.0.0), survival, MASS, Icens
Imports: TeachingDemos, mvtnorm, smoothSurv, gtools
Suggests: interval, logspline, mixAK, bayesSurv, DPpackage, FHtest, glrt, icenReg, frailtypack, MIICD, MLEcens, cubature, runjags, coda, ICBayes, dynsurv
Description: Contains datasets and several smaller functions suitable for analysis of interval-censored data. The package complements the book Bogaerts, Komárek and Lesaffre (2017). "Survival Analysis with Interval-Censored Data: A Practical Approach." ISBN 978-1-4200-7747-6, published by Chapman and Hall/CRC. Full R code related to the examples presented in the book can be found at <https://ibiostat.be/online-resources/icbook/supplemental>. Packages mentioned in the "Suggests" section are used in those examples.
Encoding: UTF-8
License: GPL (>= 2)
URL: https://ibiostat.be/online-resources/icbook/supplemental
NeedsCompilation: no
Packaged: 2017-11-15 08:54:16 UTC; komarek
Repository: CRAN
Date/Publication: 2017-11-15 22:00:58 UTC

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Package hashmap updated to version 0.2.1 with previous version 0.2.0 dated 2017-03-05

Title: The Faster Hash Map
Description: Provides a hash table class for fast key-value storage of atomic vector types.
Author: Nathan Russell [aut, cre]
Maintainer: Nathan Russell <russell.nr2012@gmail.com>

Diff between hashmap versions 0.2.0 dated 2017-03-05 and 0.2.1 dated 2017-11-15

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Package fTrading updated to version 3042.79 with previous version 3010.78 dated 2013-12-10

Title: Rmetrics - Trading and Rebalancing Financial Instruments
Description: A collection of functions for trading and rebalancing financial instruments. It implements various technical indicators to analyse time series such as moving averages or stochastic oscillators.
Author: Diethelm Wuertz [aut], Tobias Setz [cre], Yohan Chalabi [ctb]
Maintainer: Tobias Setz <tobias.setz@live.com>

Diff between fTrading versions 3010.78 dated 2013-12-10 and 3042.79 dated 2017-11-15

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Package fRegression updated to version 3042.82 with previous version 3011.81 dated 2014-09-16

Title: Rmetrics - Regression Based Decision and Prediction
Description: A collection of functions for linear and non-linear regression modelling. It implements a wrapper for several regression models available in the base and contributed packages of R.
Author: Diethelm Wuertz [aut], Tobias Setz [cre], Yohan Chalabi [ctb]
Maintainer: Tobias Setz <tobias.setz@live.com>

Diff between fRegression versions 3011.81 dated 2014-09-16 and 3042.82 dated 2017-11-15

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Package fDMA updated to version 2.2 with previous version 2.1 dated 2017-10-13

Title: Dynamic Model Averaging and Dynamic Model Selection for Continuous Outcomes
Description: Allows to estimate dynamic model averaging, dynamic model selection and median probability model. The original methods are implemented, as well as, selected further modifications of these methods. In particular the user might choose between recursive moment estimation and exponentially moving average for variance updating. Inclusion probabilities might be modified in a way using 'Google Trends'. The code is written in a way which minimises the computational burden (which is quite an obstacle for dynamic model averaging if many variables are used). For example, this package allows for parallel computations and Occam's window approach. The package is designed in a way that is hoped to be especially useful in economics and finance. Main reference: Raftery, A.E., Karny, M., Ettler, P. (2010) <doi:10.1198/TECH.2009.08104>.
Author: Krzysztof Drachal [aut, cre] (Faculty of Economic Sciences, University of Warsaw, Poland)
Maintainer: Krzysztof Drachal <kdrachal@wne.uw.edu.pl>

Diff between fDMA versions 2.1 dated 2017-10-13 and 2.2 dated 2017-11-15

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Package fBonds updated to version 3042.78 with previous version 3010.77 dated 2013-12-17

Title: Rmetrics - Pricing and Evaluating Bonds
Description: It implements the Nelson-Siegel and the Nelson-Siegel-Svensson term structures.
Author: Diethelm Wuertz [aut], Tobias Setz [cre]
Maintainer: Tobias Setz <tobias.setz@live.com>

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Package FateID updated to version 0.1.0 with previous version 0.0.9 dated 2017-11-15

Title: Quantification of Fate Bias in Multipotent Progenitors
Description: Application of 'FateID' allows computation and visualization of cell fate bias for multi-lineage single cell transcriptome data. Herman, J.S., Sagar, Grün D. (2017) <doi:10.1101/218115>.
Author: Dominic Grün <dominic.gruen@gmail.com>
Maintainer: Dominic Grün <dominic.gruen@gmail.com>

Diff between FateID versions 0.0.9 dated 2017-11-15 and 0.1.0 dated 2017-11-15

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Package EurosarcBayes updated to version 1.1 with previous version 1.0 dated 2015-11-18

Title: Bayesian Single Arm Sample Size Calculation Software
Description: Bayesian sample size calculation software and examples for EuroSARC clinical trials which utilise Bayesian methodology. These trials rely on binomial based endpoints so the majority of programs found here relate to this sort of endpoint. Developed as part of the EuroSARC FP7 grant.
Author: Peter Dutton
Maintainer: Peter Dutton <dutton.peter@gmail.com>

Diff between EurosarcBayes versions 1.0 dated 2015-11-18 and 1.1 dated 2017-11-15

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Package eulerr updated to version 3.0.1 with previous version 3.0.0 dated 2017-11-15

Title: Area-Proportional Euler and Venn Diagrams with Circles or Ellipses
Description: If possible, generates exactly area-proportional Euler diagrams using numerical optimization. A Euler diagram is a generalization of a Venn diagram, relaxing the criterion that all interactions need to be represented. Euler diagrams can be fit with both ellipses and circles from a wide range of inputs and can be visualized in numerous ways.
Author: Johan Larsson [aut, cre], A. Jonathan R. Godfrey [ctb]
Maintainer: Johan Larsson <johanlarsson@outlook.com>

Diff between eulerr versions 3.0.0 dated 2017-11-15 and 3.0.1 dated 2017-11-15

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New package enc with initial version 0.1
Package: enc
Title: Portable Tools for 'UTF-8' Character Data
Date: 2017-11-12
Version: 0.1
Authors@R: person("Kirill", "Müller", role = c("aut", "cre"), email = "krlmlr+r@mailbox.org")
Description: Implements an S3 class for storing 'UTF-8' strings, based on regular character vectors. Also contains routines to portably read and write 'UTF-8' encoded text files, to convert all strings in an object to 'UTF-8', and to create character vectors with various encodings.
Depends: R (>= 3.1)
Imports: methods
Suggests: digest, readr, rlang, testthat
License: GPL-3
Encoding: UTF-8
LazyData: true
BugReports: https://github.com/krlmlr/enc/issues
URL: https://github.com/krlmlr/enc
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-11-15 15:33:51 UTC; muelleki
Author: Kirill Müller [aut, cre]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>
Repository: CRAN
Date/Publication: 2017-11-15 18:39:33 UTC

More information about enc at CRAN
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Package batchtools updated to version 0.9.7 with previous version 0.9.6 dated 2017-09-06

Title: Tools for Computation on Batch Systems
Description: As a successor of the packages 'BatchJobs' and 'BatchExperiments', this package provides a parallel implementation of the Map function for high performance computing systems managed by schedulers 'IBM Spectrum LSF' (<http://www-03.ibm.com/systems/spectrum-computing/products/lsf/>), 'OpenLava' (<http://www.openlava.org/>), 'Univa Grid Engine'/'Oracle Grid Engine' (<http://www.univa.com/>), 'Slurm' (<http://slurm.schedmd.com/>), 'TORQUE/PBS' (<http://www.adaptivecomputing.com/products/open-source/torque/>), or 'Docker Swarm' (<https://docs.docker.com/swarm/>). A multicore and socket mode allow the parallelization on a local machines, and multiple machines can be hooked up via SSH to create a makeshift cluster. Moreover, the package provides an abstraction mechanism to define large-scale computer experiments in a well-organized and reproducible way.
Author: Michel Lang [cre, aut] (0000-0001-9754-0393), Bernd Bischl [aut], Dirk Surmann [ctb]
Maintainer: Michel Lang <michellang@gmail.com>

Diff between batchtools versions 0.9.6 dated 2017-09-06 and 0.9.7 dated 2017-11-15

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Package ANN2 updated to version 1.2 with previous version 1.1 dated 2017-10-23

Title: Artificial Neural Networks for Anomaly Detection
Description: Training of general classification and regression neural networks using gradient descent. Special features include a function for training replicator neural networks and a function for training autoencoders. Multiple activation and cost functions (including Huber and pseudo-Huber) are supported, as well as L1 and L2 regularization, momentum, early stopping and the possibility to specify a learning rate schedule. The package contains a vectorized gradient descent implementation which facilitates faster training through batch learning.
Author: Bart Lammers
Maintainer: Bart Lammers <bart.f.lammers@gmail.com>

Diff between ANN2 versions 1.1 dated 2017-10-23 and 1.2 dated 2017-11-15

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Package arc updated to version 1.1.3 with previous version 1.1.2 dated 2017-08-24

Title: Association Rule Classification
Description: Implements the Classification-based on Association Rules (CBA) algorithm for association rule classification (ARC). The package also contains several convenience methods that allow to automatically set CBA parameters (minimum confidence, minimum support) and it also natively handles numeric attributes by integrating a pre-discretization step. The rule generation phase is handled by the 'arules' package.
Author: Tomas Kliegr [aut, cre]
Maintainer: Tomas Kliegr <kliegr@gmail.com>

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New package tactile with initial version 0.1.0
Package: tactile
Title: New and Extended Plots, Methods, and Panel Functions for 'lattice'
Version: 0.1.0
Authors@R: c(person("Johan", "Larsson", email = "johanlarsson@outlook.com", role = c("aut", "cre")), person("Deepayan", "Sarkar", role = c("ctb", "cph"), comment = "lattice"), person("Brian", "Ripley", role = c("ctb"), comment = "stats::plot.acf"))
Description: Extensions to 'lattice', providing new high-level functions, methods for existing functions, panel functions, and a theme.
Depends: R (>= 3.4.0), lattice
Imports: grDevices, grid, gridExtra, latticeExtra, MASS, RColorBrewer, stats, utils
Suggests: covr, forecast, knitr, rmarkdown, testthat, zoo
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
URL: https://github.com/jolars/tactile
BugReports: https://github.com/jolars/tactile/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-11-15 15:04:07 UTC; johan
Author: Johan Larsson [aut, cre], Deepayan Sarkar [ctb, cph] (lattice), Brian Ripley [ctb] (stats::plot.acf)
Maintainer: Johan Larsson <johanlarsson@outlook.com>
Repository: CRAN
Date/Publication: 2017-11-15 15:33:40 UTC

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Package imbalance updated to version 0.1.1 with previous version 0.1.0 dated 2017-11-13

Title: Preprocessing Algorithms for Imbalanced Datasets
Description: Algorithms to treat imbalanced datasets. Imbalanced datasets usually damage the performance of the classifiers. Thus, it is important to treat data before applying a classifier algorithm. This package includes recent preprocessing algorithms in the literature.
Author: Ignacio Cordón [aut, cre]
Maintainer: Ignacio Cordón <nacho.cordon.castillo@gmail.com>

Diff between imbalance versions 0.1.0 dated 2017-11-13 and 0.1.1 dated 2017-11-15

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 6 files changed, 20 insertions(+), 12 deletions(-)

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Package rFerns updated to version 2.0.3 with previous version 2.0.2 dated 2016-07-22

Title: Random Ferns Classifier
Description: An R implementation of the random ferns classifier by Ozuysal, Calonder, Lepetit and Fua (2009) <doi:10.1109/TPAMI.2009.23>, modified for generic and multi-label classification and featuring OOB error approximation and importance measure as introduced in Kursa (2014) <doi:10.18637/jss.v061.i10>.
Author: Miron B. Kursa
Maintainer: Miron B. Kursa <M.Kursa@icm.edu.pl>

Diff between rFerns versions 2.0.2 dated 2016-07-22 and 2.0.3 dated 2017-11-15

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Package logmult updated to version 0.6.5 with previous version 0.6.4 dated 2017-03-21

Title: Log-Multiplicative Models, Including Association Models
Description: Functions to fit log-multiplicative models using 'gnm', with support for convenient printing, plots, and jackknife/bootstrap standard errors. For complex survey data, models can be fitted from design objects from the 'survey' package. Currently supported models include UNIDIFF (Erikson & Goldthorpe), a.k.a. log-multiplicative layer effect model (Xie), and several association models: Goodman's row-column association models of the RC(M) and RC(M)-L families with one or several dimensions; two skew-symmetric association models proposed by Yamaguchi and by van der Heijden & Mooijaart. Functions allow computing the intrinsic association coefficient (and therefore the Altham index), including via the Bayes shrinkage estimator proposed by Zhou; and the RAS/IPF/Deming-Stephan algorithm.
Author: Milan Bouchet-Valat [aut, cre], Heather Turner [ctb], Michael Friendly [ctb], Jim Lemon [cph], Gabor Csardi [cph]
Maintainer: Milan Bouchet-Valat <nalimilan@club.fr>

Diff between logmult versions 0.6.4 dated 2017-03-21 and 0.6.5 dated 2017-11-15

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New package scraEP with initial version 1.0
Package: scraEP
Type: Package
Title: Scrape European Parliament Careers
Version: 1.0
Date: 2017-11-15
Author: Julien Boelaert <jubo.stats@gmail.com>
Maintainer: Julien Boelaert <jubo.stats@gmail.com>
Description: A utility to webscrape the in-house careers of members of the European parliament, from its website <http://www.europarl.europa.eu>.
License: GPL (>= 3)
Imports: XML, RCurl
NeedsCompilation: no
Packaged: 2017-11-15 11:43:35 UTC; bart
Repository: CRAN
Date/Publication: 2017-11-15 13:35:04 UTC

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Package PlasmaMutationDetector updated to version 1.6.2 with previous version 1.5.2 dated 2016-09-09

Title: Tumor Mutation Detection in Plasma
Description: Aims at detecting single nucleotide variation (SNV) and insertion/deletion (INDEL) in circulating tumor DNA (ctDNA), used as a surrogate marker for tumor, at each base position of an Next Generation Sequencing (NGS) analysis. Mutations are assessed by comparing the minor-allele frequency at each position to the measured PER in control samples.
Author: Yves Rozenholc, Nicolas Pécuchet, Pierre Laurent-Puig
Maintainer: Yves Rozenholc <yves.rozenholc@parisdescartes.fr>

Diff between PlasmaMutationDetector versions 1.5.2 dated 2016-09-09 and 1.6.2 dated 2017-11-15

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New package FateID with initial version 0.0.9
Package: FateID
Title: Quantification of Fate Bias in Multipotent Progenitors
Version: 0.0.9
Date: 2017-11-07
Author: Dominic Grün <dominic.gruen@gmail.com>
Maintainer: Dominic Grün <dominic.gruen@gmail.com>
Description: Application of 'FateID' allows computation and visualization of cell fate bias for multi-lineage single cell transcriptome data. Herman, J.S., Sagar, Grün D. (2017) <bioRxiv:218115>.
Depends: R (>= 3.3.2)
biocViews:
Imports: caTools, DESeq2, destiny, graphics, grDevices, lle, locfit, pheatmap, princurve, randomForest, RColorBrewer, rgl, Rtsne, som, stats, utils
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-11-15 09:06:31 UTC; d.grun
Repository: CRAN
Date/Publication: 2017-11-15 13:16:37 UTC

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New package Massign with initial version 1.0.0
Package: Massign
Type: Package
Title: Simple Matrix Construction
Version: 1.0.0
Author: Erik-Jan van Kesteren
Maintainer: Erik-Jan van Kesteren <e.vankesteren1@uu.nl>
Description: Constructing matrices for quick prototyping can be a nuisance, requiring the user to think about how to fill the matrix with values using the matrix() function. The %<-% operator solves that issue by allowing the user to construct matrices using code that shows the actual matrices.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-11-15 10:26:05 UTC; erikj
Repository: CRAN
Date/Publication: 2017-11-15 12:59:20 UTC

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New package boclust with initial version 0.1.0
Package: boclust
Title: A Clustering Method Based on Boosting on Single Attributes
Version: 0.1.0
Description: An overlap clustering algorithm for categorical ultra-dimension data.
Depends: R (>= 3.3)
License: GPL-2
Authors@R: c(person("Peng", "Zhang", email = "pengz@zju.edu.cn", role = c("aut")), person("Kaixiu", "Jin", email = "jinkaixiu@zju.edu.cn", role = c("aut", "cre")))
LazyData: true
RoxygenNote: 6.0.1
biocViews: genefilter(>= 1.58.1)
Imports: reshape2 (>= 1.4.2), psych (>= 1.7.3.21), Rtsne (>= 0.13), d3heatmap (>= 0.6.1.1), venn (>= 1.2), DT (>= 0.2), shiny (>= 1.0.5), ggplot2 (>= 2.2.1), stats, genefilter (>= 1.58.1)
NeedsCompilation: no
Packaged: 2017-11-15 09:52:58 UTC; Kathy
Author: Peng Zhang [aut], Kaixiu Jin [aut, cre]
Maintainer: Kaixiu Jin <jinkaixiu@zju.edu.cn>
Repository: CRAN
Date/Publication: 2017-11-15 12:29:22 UTC

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Package eulerr updated to version 3.0.0 with previous version 2.0.0 dated 2017-06-20

Title: Area-Proportional Euler and Venn Diagrams with Circles or Ellipses
Description: If possible, generates exactly area-proportional Euler diagrams using numerical optimization. A Euler diagram is a generalization of a Venn diagram, relaxing the criterion that all interactions need to be represented. Euler diagrams can be fit with both ellipses and circles from a wide range of inputs and can be visualized in numerous ways.
Author: Johan Larsson [aut, cre], A. Jonathan R. Godfrey [ctb]
Maintainer: Johan Larsson <johanlarsson@outlook.com>

Diff between eulerr versions 2.0.0 dated 2017-06-20 and 3.0.0 dated 2017-11-15

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New package scriptexec with initial version 0.1.0
Package: scriptexec
Title: Execute Native Scripts
Version: 0.1.0
Authors@R: person("Sagie", "Gur-Ari", email = "sagiegurari@gmail.com", role = c("aut", "cre"))
Description: Run complex native scripts with a single command, similar to system commands.
License: Apache License 2.0
URL: https://github.com/sagiegurari/scriptexec
BugReports: https://github.com/sagiegurari/scriptexec/issues
Depends: R (>= 3.2.3)
Encoding: UTF-8
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-11-14 23:50:04 UTC; user
Author: Sagie Gur-Ari [aut, cre]
Maintainer: Sagie Gur-Ari <sagiegurari@gmail.com>
Repository: CRAN
Date/Publication: 2017-11-15 10:06:32 UTC

More information about scriptexec at CRAN
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Package nimble updated to version 0.6-7 with previous version 0.6-6 dated 2017-07-28

Title: MCMC, Particle Filtering, and Programmable Hierarchical Modeling
Description: A system for writing hierarchical statistical models largely compatible with 'BUGS' and 'JAGS', writing nimbleFunctions to operate models and do basic R-style math, and compiling both models and nimbleFunctions via custom-generated C++. 'NIMBLE' includes default methods for MCMC, particle filtering, Monte Carlo Expectation Maximization, and some other tools. The nimbleFunction system makes it easy to do things like implement new MCMC samplers from R, customize the assignment of samplers to different parts of a model from R, and compile the new samplers automatically via C++ alongside the samplers 'NIMBLE' provides. 'NIMBLE' extends the 'BUGS'/'JAGS' language by making it extensible: New distributions and functions can be added, including as calls to external compiled code. Although most people think of MCMC as the main goal of the 'BUGS'/'JAGS' language for writing models, one can use 'NIMBLE' for writing arbitrary other kinds of model-generic algorithms as well. A full User Manual is available at <http://r-nimble.org>.
Author: Perry de Valpine, Christopher Paciorek, Daniel Turek, Cliff Anderson-Bergman, Nick Michaud, Fritz Obermeyer, Duncan Temple Lang, and see AUTHORS file for additional contributors.
Maintainer: Christopher Paciorek <paciorek@stat.berkeley.edu>

Diff between nimble versions 0.6-6 dated 2017-07-28 and 0.6-7 dated 2017-11-15

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Package MonetDBLite updated to version 0.5.0 with previous version 0.4.1 dated 2017-08-02

Title: In-Process Version of 'MonetDB'
Description: An in-process version of 'MonetDB', a SQL database designed for analytical tasks. Similar to 'SQLite', the database runs entirely inside the 'R' shell.
Author: Hannes Muehleisen [aut, cre], Anthony Damico [ctb], Mark Raasveldt [ctb], Thomas Lumley [ctb], MonetDB B.V. [cph], CWI [cph], The Regents of the University of California [cph], Kungliga Tekniska Hogskolan [cph], Free Software Foundation, Inc. [cph]
Maintainer: Hannes Muehleisen <hannes@cwi.nl>

Diff between MonetDBLite versions 0.4.1 dated 2017-08-02 and 0.5.0 dated 2017-11-15

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Package asnipe updated to version 1.1.5 with previous version 1.1.4 dated 2017-07-24

Title: Animal Social Network Inference and Permutations for Ecologists
Description: Implements several tools that are used in animal social network analysis. In particular, this package provides the tools to infer groups and generate networks from observation data, perform permutation tests on the data, calculate lagged association rates, and performed multiple regression analysis on social network data.
Author: Damien R. Farine <dfarine@orn.mpg.de>
Maintainer: Damien R. Farine <dfarine@orn.mpg.de>

Diff between asnipe versions 1.1.4 dated 2017-07-24 and 1.1.5 dated 2017-11-15

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Package PCMRS updated to version 0.0-2 with previous version 0.0-1 dated 2017-11-07

Title: Model Response Styles in Partial Credit Models
Description: Implementation of PCMRS (Partial Credit Model with Response Styles) as proposed in by Tutz, Schauberger and Berger (2016) <https://epub.ub.uni-muenchen.de/29373/> . PCMRS is an extension of the regular partial credit model. PCMRS allows for an additional person parameter that characterizes the response style of the person. By taking the response style into account, the estimates of the item parameters are less biased than in partial credit models.
Author: Gunther Schauberger
Maintainer: Gunther Schauberger <gunther@stat.uni-muenchen.de>

Diff between PCMRS versions 0.0-1 dated 2017-11-07 and 0.0-2 dated 2017-11-15

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Permanent link

Package MXM updated to version 1.2.5 with previous version 1.2 dated 2017-10-10

Title: Feature Selection (Including Multiple Solutions) and Bayesian Networks
Description: An R package for feature selection methods for identifying minimal, statistically-equivalent and equally-predictive feature subsets. Bayesian network algorithms and related functions are also included. The package name 'MXM' stands for "Mens eX Machina", meaning "Mind from the Machine" in Latin.
Author: Michail Tsagris [aut, cre], Ioannis Tsamardinos [aut], Vincenzo Lagani [aut], Giorgos Athineou [aut], Giorgos Borboudakis [ctb], Anna Roumpelaki [ctb]
Maintainer: Michail Tsagris <mtsagris@csd.uoc.gr>

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 R/normlog.fsreg.R          |    7 
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 R/permClogit.R             |  138 +++---
 R/permDcor.R               |    5 
 R/rdag.R                   |    6 
 R/rdag2.R                  |    9 
 R/reg.fit.R                |   67 +--
 R/ridge.plot.R             |    8 
 R/ridge.reg.R              |   41 -
 R/ridgereg.cv.R            |   40 -
 R/rint.regs.R              |  134 ++++--
 R/rmdag.R                  |   10 
 R/ses.model.R              |   11 
 R/testIndClogit.R          |    5 
 R/testIndFisher.R          |    2 
 R/testIndGLMM.R            |   13 
 R/testIndGamma.R           |   10 
 R/testIndNormLog.R         |   11 
 R/testIndRQ.R              |   10 
 R/testIndReg.R             |   17 
 R/testIndSpearman.R        |    9 
 R/tobit.bsreg.R            |   61 +-
 R/tobit.fsreg.R            |    3 
 R/tobit.fsreg_2.R          |   10 
 R/topological_sort.R       |   26 -
 R/univregs.R               |    8 
 R/wald.Internalmmpc.R      |    2 
 R/wald.Internalses.R       |    3 
 R/wald.mmpc.R              |    1 
 R/waldMMreg.R              |    1 
 R/zip.bsreg.R              |   31 -
 R/zip.fsreg.R              |    2 
 R/zip.fsreg_2.R            |   68 +--
 inst/doc/article.pdf       |binary
 inst/doc/guide.pdf         |binary
 man/MXM-internal.Rd        |   26 +
 man/MXM-package.Rd         |    6 
 man/MXMCondIndTests.Rd     |    7 
 man/SES.Rd                 |   31 -
 man/SES.temporal.Rd        |   12 
 man/auc.Rd                 |    8 
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 man/mmpcbackphase.Rd       |    3 
 man/pc.or.Rd               |   11 
 man/pc.skel.Rd             |   82 ++-
 man/testIndClogit.Rd       |    5 
 man/testIndGamma.Rd        |   12 
 man/topological_sort.Rd    |    7 
 vignettes/biblio.bib       |  992 ++++++++++++++++++++++-----------------------
 181 files changed, 2467 insertions(+), 2507 deletions(-)

More information about MXM at CRAN
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Package laGP updated to version 1.5-1 with previous version 1.5 dated 2017-09-25

Title: Local Approximate Gaussian Process Regression
Description: Performs approximate GP regression for large computer experiments and spatial datasets. The approximation is based on finding small local designs for prediction (independently) at particular inputs. OpenMP and SNOW parallelization are supported for prediction over a vast out-of-sample testing set; GPU acceleration is also supported for an important subroutine. OpenMP and GPU features may require special compilation. An interface to lower-level (full) GP inference and prediction is also provided, as are associated wrapper routines for blackbox optimization under mixed equality and inequality constraints via an augmented Lagrangian scheme, and for large scale computer model calibration.
Author: Robert B. Gramacy <rbg@vt.edu>, Furong Sun <furongs@vt.edu>
Maintainer: Robert B. Gramacy <rbg@vt.edu>

Diff between laGP versions 1.5 dated 2017-09-25 and 1.5-1 dated 2017-11-15

 laGP-1.5-1/laGP/ChangeLog          |    5 +++
 laGP-1.5-1/laGP/DESCRIPTION        |    8 ++---
 laGP-1.5-1/laGP/MD5                |   17 +++++-----
 laGP-1.5-1/laGP/R/blhs.R           |    2 +
 laGP-1.5-1/laGP/R/laGP_sep.R       |    2 -
 laGP-1.5-1/laGP/build/vignette.rds |binary
 laGP-1.5-1/laGP/inst/doc/laGP.pdf  |binary
 laGP-1.5-1/laGP/src/laGP.c         |   58 ++++++++++++++++++-------------------
 laGP-1.5-1/laGP/src/laGP_sep.c     |   52 ++++++++++++++++-----------------
 laGP-1.5/laGP/src/symbols.rds      |only
 10 files changed, 75 insertions(+), 69 deletions(-)

More information about laGP at CRAN
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Package easynls updated to version 5.0 with previous version 4.0 dated 2014-02-06

Title: Easy Nonlinear Model
Description: Fit and plot some nonlinear models.
Author: Emmanuel Arnhold
Maintainer: Emmanuel Arnhold <emmanuelarnhold@yahoo.com.br>

Diff between easynls versions 4.0 dated 2014-02-06 and 5.0 dated 2017-11-15

 DESCRIPTION            |   13 ++++++-----
 MD5                    |   14 ++++++------
 NAMESPACE              |    6 ++++-
 R/nlsfit.R             |   52 +++++++++++++++++++++++++++++++----------------
 R/nlsplot.R            |   15 ++++---------
 man/easynls-package.Rd |   54 ++++++-------------------------------------------
 man/nlsfit.Rd          |   27 +++++-------------------
 man/nlsplot.Rd         |   34 +++++++++---------------------
 8 files changed, 82 insertions(+), 133 deletions(-)

More information about easynls at CRAN
Permanent link


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