Sat, 02 Mar 2019

Package qs updated to version 0.14.1 with previous version 0.13.1 dated 2019-02-13

Title: Quick Serialization of R Objects
Description: Provides functions for quickly writing and reading any R object to and from disk.
Author: Travers Ching [aut, cre, cph], Yann Collet [ctb, cph] (Yann Collet is the author of the bundled zstd and lz4 code), Facebook, Inc. [cph] (Facebook is the copyright holder of the bundled zstd code), Reichardt Tino [ctb, cph] (Contributor/copyright holder of zstd bundled code), Skibinski Przemyslaw [ctb, cph] (Contributor/copyright holder of zstd bundled code), Mori Yuta [ctb, cph] (Contributor/copyright holder of zstd bundled code), Romain Francois [ctb, cph] (Derived example/tutorials for Alt-Rep structures), Francesc Alted [ctb, cph] (Shuffling routines derived from Blosc library)
Maintainer: Travers Ching <traversc@gmail.com>

Diff between qs versions 0.13.1 dated 2019-02-13 and 0.14.1 dated 2019-03-02

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Package modeldb updated to version 0.1.2 with previous version 0.1.1 dated 2019-01-07

Title: Fits Models Inside the Database
Description: Uses 'dplyr' and 'tidyeval' to fit statistical models inside the database. It currently supports KMeans and linear regression models.
Author: Edgar Ruiz [aut, cre]
Maintainer: Edgar Ruiz <edgar@rstudio.com>

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Package rcompanion updated to version 2.1.1 with previous version 2.0.10 dated 2019-01-02

Title: Functions to Support Extension Education Program Evaluation
Description: Functions and datasets to support "Summary and Analysis of Extension Program Evaluation in R" and "An R Companion for the Handbook of Biological Statistics". Vignettes are available at <http://rcompanion.org>.
Author: Salvatore Mangiafico [aut, cre]
Maintainer: Salvatore Mangiafico <mangiafico@njaes.rutgers.edu>

Diff between rcompanion versions 2.0.10 dated 2019-01-02 and 2.1.1 dated 2019-03-02

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New package qgcomp with initial version 1.0.0
Package: qgcomp
Title: Quantile G-Computation
Version: 1.0.0
Date: 2019-02-22
Authors@R: person(given = "Alexander", family = "Keil", role = c("aut", "cre"), email = "akeil@unc.edu")
Author: Alexander Keil [aut, cre]
Maintainer: Alexander Keil <akeil@unc.edu>
Description: G-computation for a set of time-fixed exposures with quantile-based basis functions, possibly under linearity and homogeneity assumptions. This approach estimates a regression line corresponding to the expected change in the outcome (on the link basis) given a simultaneous increase in the quantile-based category for all exposures. Reference: Alexander P. Keil, Jessie P. Buckley, Katie M. OBrien, Kelly K. Ferguson, Shanshan Zhao Alexandra J. White (2019) A quantile-based g-computation approach to addressing the effects of exposure mixtures; <arXiv:1902.04200> [stat.ME].
License: GPL (>= 2)
Depends: ggplot2 (>= 2.5), grid, gridExtra, R (>= 3.0), stats (>= 3.0)
Suggests: knitr (>= 1.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-02-22 14:15:30 UTC; akeil
Repository: CRAN
Date/Publication: 2019-03-02 18:20:03 UTC

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New package documenter with initial version 0.1.1
Package: documenter
Type: Package
Title: Documents Files
Version: 0.1.1
Authors@R: c( person("Zachary", "Colburn", email = "zcolburn@gmail.com", role = c("aut", "cre")), person("Madigan Army Medical Center - Department of Clinical Investigation", email = "usarmy.jblm.medcom-mamc.mbx.dci@mail.mil", role = c("cph", "fnd")) )
Maintainer: Zachary Colburn <zcolburn@gmail.com>
Description: It is sometimes necessary to create documentation for all files in a directory. Doing so by hand can be very tedious. This task is made fast and reproducible using the functionality of 'documenter'. It aggregates all text files in a directory and its subdirectories into a single word document in a semi-automated fashion.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: officer, magrittr, htmltools, xml2, yaml
Suggests: covr, testthat, knitr, rmarkdown
VignetteBuilder: knitr
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-02-22 18:56:48 UTC; mamcdci
Author: Zachary Colburn [aut, cre], Madigan Army Medical Center - Department of Clinical Investigation [cph, fnd]
Repository: CRAN
Date/Publication: 2019-03-02 18:30:02 UTC

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New package prnsamplr with initial version 0.1.0
Package: prnsamplr
Type: Package
Title: Permanent Random Number Sampling
Version: 0.1.0
Date: 2019-02-21
Author: Kira Coder Gylling
Maintainer: Kira Coder Gylling <kira.gylling@gmail.com>
Description: Survey sampling using permanent random numbers (PRN's). A solution to the problem of unknown overlap between survey samples, which leads to a low precision in estimates when the survey is repeated or combined with other surveys. The PRN solution is to supply the U(0, 1) random numbers to the sampling procedure, instead of having the sampling procedure generate them. In Lindblom (2014) <doi:10.2478/jos-2014-0047>, and therein cited articles, it is shown how this is carried out and how it improves the estimates. This package supports two common fixed-size sampling procedures (simple random sampling and probability-proportional-to-size sampling) and includes a function for transforming the PRN's in order to control the sample overlap.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 6.1.0
Imports: stats
LazyData: true
NeedsCompilation: no
Packaged: 2019-02-22 11:43:07 UTC; kirag
Depends: R (>= 2.10)
Repository: CRAN
Date/Publication: 2019-03-02 17:50:03 UTC

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New package shapper with initial version 0.1.0
Package: shapper
Title: Wrapper of Python Library 'shap'
Version: 0.1.0
Authors@R: c( person("Alicja", "Gosiewska", email = "alicjagosiewska@gmail.com", role = c("aut", "cre")), person("Przemyslaw", "Biecek", email = "przemyslaw.biecek@gmail.com", role = c("aut")), person("Michal", "Burdukiewicz", email = "michalburdukiewicz@gmail.com", role = c("ctb")) )
Description: Provides SHAP explanations of machine learning models. In applied machine learning, there is a strong belief that we need to strike a balance between interpretability and accuracy. However, in field of the Interpretable Machine Learning, there are more and more new ideas for explaining black-box models. One of the best known method for local explanations is SHapley Additive exPlanations (SHAP) introduced by Lundberg, S., et al., (2016) <arXiv:1705.07874> The SHAP method is used to calculate influences of variables on the particular observation. This method is based on Shapley values, a technique used in game theory. The R package 'shapper' is a port of the Python library 'shap'.
License: GPL
Encoding: UTF-8
LazyData: true
URL: https://github.com/ModelOriented/shapper
BugReports: https://github.com/ModelOriented/shapper/issues
RoxygenNote: 6.1.1
Imports: reticulate, ggplot2
Suggests: covr, DALEX, knitr, randomForest, rpart, testthat, titanic
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-03-01 12:41:34 UTC; alicja
Author: Alicja Gosiewska [aut, cre], Przemyslaw Biecek [aut], Michal Burdukiewicz [ctb]
Maintainer: Alicja Gosiewska <alicjagosiewska@gmail.com>
Repository: CRAN
Date/Publication: 2019-03-02 16:20:02 UTC

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Package liquidSVM updated to version 1.2.2.1 with previous version 1.2.2 dated 2019-01-10

Title: A Fast and Versatile SVM Package
Description: Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.
Author: Ingo Steinwart, Philipp Thomann
Maintainer: ORPHANED

Diff between liquidSVM versions 1.2.2 dated 2019-01-10 and 1.2.2.1 dated 2019-03-02

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Package emmeans updated to version 1.3.3 with previous version 1.3.2 dated 2019-01-22

Title: Estimated Marginal Means, aka Least-Squares Means
Description: Obtain estimated marginal means (EMMs) for many linear, generalized linear, and mixed models. Compute contrasts or linear functions of EMMs, trends, and comparisons of slopes. Plots and compact letter displays. Least-squares means are discussed, and the term "estimated marginal means" is suggested, in Searle, Speed, and Milliken (1980) Population marginal means in the linear model: An alternative to least squares means, The American Statistician 34(4), 216-221 <doi:10.1080/00031305.1980.10483031>.
Author: Russell Lenth [aut, cre, cph], Henrik Singmann [ctb], Jonathon Love [ctb], Paul Buerkner [ctb], Maxime Herve [ctb]
Maintainer: Russell Lenth <russell-lenth@uiowa.edu>

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Package tabplotd3 (with last version 0.3.3) was removed from CRAN

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

2013-09-02 0.3.3
2012-12-19 0.2
2012-10-03 0.1-1

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Package tabplot (with last version 1.3-1) was removed from CRAN

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

2017-01-17 1.3-1
2016-03-26 1.3
2014-02-24 1.1
2012-12-18 1.0
2012-07-12 0.12
2012-05-02 0.11-2
2011-11-30 0.11-1
2011-10-23 0.11
2011-07-30 0.10-1
2011-07-29 0.10
2011-01-25 0.9-1
2011-01-03 0.9

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Package Rmixmod updated to version 2.1.2.1 with previous version 2.1.2 dated 2018-02-24

Title: Classification with Mixture Modelling
Description: Interface of 'MIXMOD' software for supervised, unsupervised and semi-supervised classification with mixture modelling.
Author: Florent Langrognet [aut], Remi Lebret [aut], Christian Poli [aut], Serge Iovleff [aut], Benjamin Auder [aut, cre], Parmeet Bhatia [ctb], Anwuli Echenim [ctb], Serge Iovleff [aut], Christophe Biernacki [ctb], Gilles Celeux [ctb], G<c3><a9>rard Govaert [ctb]
Maintainer: ORPHANED

Diff between Rmixmod versions 2.1.2 dated 2018-02-24 and 2.1.2.1 dated 2019-03-02

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Package chinese.misc (with last version 0.1.9) was removed from CRAN

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2018-06-19 0.1.9
2018-02-06 0.1.8
2017-08-27 0.1.7
2017-05-03 0.1.6
2017-04-07 0.1.5
2017-03-23 0.1.4
2017-03-13 0.1.3
2017-03-05 0.1.2
2017-02-19 0.1.1
2017-02-16 0.1.0

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Package Ruchardet (with last version 0.0-3.1) was removed from CRAN

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2018-11-10 0.0-3.1
2014-02-07 0.0-3
2013-12-19 0.0-2
2013-11-25 0.0-1

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New package manymodelr with initial version 0.1.0
Package: manymodelr
Title: Build and Tune Several Models
Version: 0.1.0
Authors@R: person(given = "Nelson", family = "Gonzabato", email = "gonzabato@hotmail.com", role=c("aut","cre"))
Description: Frequently one needs a convenient way to build and tune, several models in one go.The goal is to provide a number of convenience functions useful in machine learning applications. It provides the ability to build,tune and obtain predictions of several models in one function. The models are built using 'caret' functions with easier to read syntax. Kuhn(2014)<arXiv:1405.6974v14>. Kuhn(2008)<doi10.18637/jss.v028.i05>. Chambers,J.M.(1992)<doi:10.1371/journal.pone.0053143>. Wilkinson,G.N. and Rogers, C. E. (1973)<doi:10.2307/2346786>.
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Imports: dplyr(>= 0.7.8), caret(>= 6.0-81), tidyr(>= 0.8.2), reshape2(>= 1.4.3), plyr(>= 1.8.4), magrittr(>= 1.5), Metrics(>= 0.1.4), tibble(>= 2.0.1), e1071(>= 1.7-0.1)
URL: https://github.com/Nelson-Gon/manymodelr
BugReports: https://github.com/Nelson-Gon/manymodelr/issues
NeedsCompilation: no
Packaged: 2019-02-22 11:33:57 UTC; Lance Nelson
Author: Nelson Gonzabato [aut, cre]
Maintainer: Nelson Gonzabato <gonzabato@hotmail.com>
Repository: CRAN
Date/Publication: 2019-03-02 12:40:03 UTC

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Package ElemStatLearn updated to version 2015.6.26.1 with previous version 2015.6.26 dated 2015-06-27

Title: Data Sets, Functions and Examples from the Book: "The Elements of Statistical Learning, Data Mining, Inference, and Prediction" by Trevor Hastie, Robert Tibshirani and Jerome Friedman
Description: Useful when reading the book above mentioned, in the documentation referred to as `the book'.
Author: Material from the book's webpage, R port and packaging by Kjetil B Halvorsen
Maintainer: Kjetil B Halvorsen <kjetil1001@gmail.com>

Diff between ElemStatLearn versions 2015.6.26 dated 2015-06-27 and 2015.6.26.1 dated 2019-03-02

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Package DAAG updated to version 1.22.1 with previous version 1.22 dated 2015-09-03

Title: Data Analysis and Graphics Data and Functions
Description: Various data sets used in examples and exercises in the book Maindonald, J.H. and Braun, W.J. (2003, 2007, 2010) "Data Analysis and Graphics Using R".
Author: John H. Maindonald and W. John Braun
Maintainer: ORPHANED

Diff between DAAG versions 1.22 dated 2015-09-03 and 1.22.1 dated 2019-03-02

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Package FishResp (with last version 1.0.2) was removed from CRAN

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

2018-10-22 1.0.2
2018-09-26 1.0.1
2018-09-24 1.0.0
2018-08-27 0.4.0
2018-06-01 0.3.0
2018-01-04 0.2.0
2017-05-08 0.1.0

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Package GENEAsphere (with last version 1.5.0) was removed from CRAN

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2018-11-26 1.5.0

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Package net.security (with last version 0.3.0) was removed from CRAN

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

2017-06-25 0.3.0
2017-04-01 0.1.0

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Package CDECRetrieve (with last version 0.1.3) was removed from CRAN

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2019-02-25 0.1.3

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Package ganalytics updated to version 0.10.7 with previous version 0.10.6 dated 2019-01-07

Title: Interact with 'Google Analytics'
Description: Functions for querying the 'Google Analytics' core reporting, real-time, multi-channel funnel and management APIs, as well as the 'Google Tag Manager' (GTM) API. Write methods are also provided for the management and GTM APIs so that you can change tag, property or view settings, for example. Define reporting queries using natural R expressions instead of being concerned as much about API technical intricacies like query syntax, character code escaping, and API limitations.
Author: Johann de Boer [aut, cre]
Maintainer: Johann de Boer <johanndeboer@gmail.com>

Diff between ganalytics versions 0.10.6 dated 2019-01-07 and 0.10.7 dated 2019-03-02

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Package spongebob updated to version 0.4.0 with previous version 0.3.0 dated 2019-02-14

Title: SpongeBob-Case Converter : spOngEboB-CASe CoNVertER
Description: Convert text (and text in R objects) to Mocking SpongeBob case <https://knowyourmeme.com/memes/mocking-spongebob> and show them off in fun ways. CoNVErT TexT (AnD TeXt In r ObJeCtS) To MOCkINg SpoNgebOb CAsE <https://knowyourmeme.com/memes/mocking-spongebob> aND shOw tHem OFf IN Fun WayS.
Author: Jay Qi [aut, cre]
Maintainer: Jay Qi <jayqi.opensource@gmail.com>

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Package rjmcmc updated to version 0.4.4 with previous version 0.4.3 dated 2018-10-04

Title: Reversible-Jump MCMC Using Post-Processing
Description: Performs reversible-jump Markov chain Monte Carlo (Green, 1995) <doi:10.2307/2337340>, specifically the restriction introduced by Barker & Link (2013) <doi:10.1080/00031305.2013.791644>. By utilising a 'universal parameter' space, RJMCMC is treated as a Gibbs sampling problem. Previously-calculated posterior distributions are used to quickly estimate posterior model probabilities. Jacobian matrices are found using automatic differentiation.
Author: Nick Gelling [aut, cre], Matthew R. Schofield [aut], Richard J. Barker [aut]
Maintainer: Nick Gelling <nickcjgelling@gmail.com>

Diff between rjmcmc versions 0.4.3 dated 2018-10-04 and 0.4.4 dated 2019-03-02

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Package rfishbase updated to version 3.0.1 with previous version 3.0.0.1 dated 2019-03-01

Title: R Interface to 'FishBase'
Description: A programmatic interface to <http://www.fishbase.org>, re-written based on an accompanying 'RESTful' API. Access tables describing over 30,000 species of fish, their biology, ecology, morphology, and more. This package also supports experimental access to <http://www.sealifebase.org> data, which contains nearly 200,000 species records for all types of aquatic life not covered by 'FishBase.'
Author: Carl Boettiger [cre, aut] (<https://orcid.org/0000-0002-1642-628X>), Scott Chamberlain [aut] (<https://orcid.org/0000-0003-1444-9135>), Duncan Temple Lang [aut], Peter Wainwright [aut]
Maintainer: Carl Boettiger <cboettig@gmail.com>

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Package estimatr updated to version 0.16 with previous version 0.14 dated 2018-11-06

Title: Fast Estimators for Design-Based Inference
Description: Fast procedures for small set of commonly-used, design-appropriate estimators with robust standard errors and confidence intervals. Includes estimators for linear regression, instrumental variables regression, difference-in-means, Horvitz-Thompson estimation, and regression improving precision of experimental estimates by interacting treatment with centered pre-treatment covariates introduced by Lin (2013) <doi:10.1214/12-AOAS583>.
Author: Graeme Blair [aut, cre], Jasper Cooper [aut], Alexander Coppock [aut], Macartan Humphreys [aut], Luke Sonnet [aut], Neal Fultz [ctb], Lily Medina [ctb]
Maintainer: Graeme Blair <graeme.blair@ucla.edu>

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Package BinNonNor updated to version 1.5 with previous version 1.4 dated 2018-01-03

Title: Data Generation with Binary and Continuous Non-Normal Components
Description: Generation of multiple binary and continuous non-normal variables simultaneously given the marginal characteristics and association structure based on the methodology proposed by Demirtas et al. (2012) <DOI:10.1002/sim.5362>.
Author: Gul Inan, Hakan Demirtas, Ran Gao
Maintainer: Ran Gao <rgao8@uic.edu>

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Package EventStudy updated to version 0.35 with previous version 0.34 dated 2017-09-27

Title: Event Study Analysis
Description: Perform Event Studies from through our <http://EventStudyTools.com> Application Programming Interface, parse the results, visualize it, and / or use the results in further analysis.
Author: Dr. Simon Mueller
Maintainer: Dr. Simon Mueller <simon.mueller@muon-stat.com>

Diff between EventStudy versions 0.34 dated 2017-09-27 and 0.35 dated 2019-03-02

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