Thu, 04 Jan 2018

Package PWFSLSmoke updated to version 1.0.3 with previous version 0.99.33 dated 2017-12-12

Title: Utilities for Working with Air Quality Monitoring Data
Description: Utilities for working with air quality monitoring data with a focus on small particulates (PM2.5) generated by wildfire smoke. Functions are provided for downloading available data from the United States Environmental Protection Agency (US EPA) and it's AirNow air quality site. Additional sources of PM2.5 data made accessible by the package include: AIRSIS (password protected), the Western Regional Climate Center (WRCC) and the open source site OpenAQ.
Author: Jonathan Callahan [aut, cre], Rohan Aras [aut], Zach Dingels [aut], Jon Hagg [aut], Jimin Kim [aut], Helen Miller [aut], Rex Thompson [aut], Alice Yang [aut]
Maintainer: Jonathan Callahan <jonathan.s.callahan@gmail.com>

Diff between PWFSLSmoke versions 0.99.33 dated 2017-12-12 and 1.0.3 dated 2018-01-04

 PWFSLSmoke-0.99.33/PWFSLSmoke/R/airnow_downloadData.R                 |only
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 PWFSLSmoke-1.0.3/PWFSLSmoke/R/PWFSLSmoke.R                            |   47 -
 PWFSLSmoke-1.0.3/PWFSLSmoke/R/addAQILines.R                           |    2 
 PWFSLSmoke-1.0.3/PWFSLSmoke/R/addClustering.R                         |   86 +-
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 PWFSLSmoke-1.0.3/PWFSLSmoke/R/airnow_createDataDataframes.R           |   61 +
 PWFSLSmoke-1.0.3/PWFSLSmoke/R/airnow_createMetaDataframes.R           |  227 +++++-
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 PWFSLSmoke-1.0.3/PWFSLSmoke/R/airnow_downloadSites.R                  |    6 
 PWFSLSmoke-1.0.3/PWFSLSmoke/R/airnow_load.R                           |    7 
 PWFSLSmoke-1.0.3/PWFSLSmoke/R/airnow_loadLatest.R                     |    3 
 PWFSLSmoke-1.0.3/PWFSLSmoke/R/airsisDump_createMonitorObject.R        |   24 
 PWFSLSmoke-1.0.3/PWFSLSmoke/R/airsisDump_parseData.R                  |   30 
 PWFSLSmoke-1.0.3/PWFSLSmoke/R/airsis_BAM1020QualityControl.R          |  146 ++--
 PWFSLSmoke-1.0.3/PWFSLSmoke/R/airsis_EBAMQualityControl.R             |  158 ++--
 PWFSLSmoke-1.0.3/PWFSLSmoke/R/airsis_ESAMQualityControl.R             |  142 ++--
 PWFSLSmoke-1.0.3/PWFSLSmoke/R/airsis_availableUnits.R                 |   44 -
 PWFSLSmoke-1.0.3/PWFSLSmoke/R/airsis_createDataDataframe.R            |   40 -
 PWFSLSmoke-1.0.3/PWFSLSmoke/R/airsis_createMetaDataframe.R            |  191 ++---
 PWFSLSmoke-1.0.3/PWFSLSmoke/R/airsis_createMonitorObject.R            |   50 +
 PWFSLSmoke-1.0.3/PWFSLSmoke/R/airsis_createRawDataframe.R             |   35 -
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 PWFSLSmoke-1.0.3/PWFSLSmoke/R/monitorEsriMap.R                        |    7 
 PWFSLSmoke-1.0.3/PWFSLSmoke/R/monitorGoogleMap.R                      |    7 
 PWFSLSmoke-1.0.3/PWFSLSmoke/R/monitorLeaflet.R                        |   12 
 PWFSLSmoke-1.0.3/PWFSLSmoke/R/monitorMap.R                            |    5 
 PWFSLSmoke-1.0.3/PWFSLSmoke/R/monitorMap_performance.R                |    2 
 PWFSLSmoke-1.0.3/PWFSLSmoke/R/monitorPlot_dailyBarplot.R              |    9 
 PWFSLSmoke-1.0.3/PWFSLSmoke/R/monitorPlot_hourlyBarplot.R             |    7 
 PWFSLSmoke-1.0.3/PWFSLSmoke/R/monitorPlot_rollingMean.R               |    9 
 PWFSLSmoke-1.0.3/PWFSLSmoke/R/monitorPlot_timeOfDaySpaghetti.R        |    7 
 PWFSLSmoke-1.0.3/PWFSLSmoke/R/monitorPlot_timeseries.R                |   32 
 PWFSLSmoke-1.0.3/PWFSLSmoke/R/monitor_aqi.R                           |    8 
 PWFSLSmoke-1.0.3/PWFSLSmoke/R/monitor_collapse.R                      |   10 
 PWFSLSmoke-1.0.3/PWFSLSmoke/R/monitor_combine.R                       |   31 
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 PWFSLSmoke-1.0.3/PWFSLSmoke/R/monitor_subsetMeta.R                    |   29 
 PWFSLSmoke-1.0.3/PWFSLSmoke/R/monitor_timeAverage.R                   |    5 
 PWFSLSmoke-1.0.3/PWFSLSmoke/R/monitor_trim.R                          |    5 
 PWFSLSmoke-1.0.3/PWFSLSmoke/R/openaq_assignStateCode.R                |  140 ++--
 PWFSLSmoke-1.0.3/PWFSLSmoke/R/openaq_createDataDataframes.R           |  186 ++---
 PWFSLSmoke-1.0.3/PWFSLSmoke/R/openaq_createMetaDataframes.R           |  232 +++---
 PWFSLSmoke-1.0.3/PWFSLSmoke/R/openaq_downloadData.R                   |  170 ++---
 PWFSLSmoke-1.0.3/PWFSLSmoke/R/skill_ROC.R                             |    4 
 PWFSLSmoke-1.0.3/PWFSLSmoke/R/skill_ROCPlot.R                         |    4 
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 PWFSLSmoke-1.0.3/PWFSLSmoke/R/wrccDump_createMonitorObject.R          |   24 
 PWFSLSmoke-1.0.3/PWFSLSmoke/R/wrcc_EBAMQualityControl.R               |  164 ++--
 PWFSLSmoke-1.0.3/PWFSLSmoke/R/wrcc_ESAMQualityControl.R               |  164 ++--
 PWFSLSmoke-1.0.3/PWFSLSmoke/R/wrcc_createDataDataframe.R              |   50 -
 PWFSLSmoke-1.0.3/PWFSLSmoke/R/wrcc_createMetaDataframe.R              |  190 ++---
 PWFSLSmoke-1.0.3/PWFSLSmoke/R/wrcc_createMonitorObject.R              |   59 +
 PWFSLSmoke-1.0.3/PWFSLSmoke/R/wrcc_createRawDataframe.R               |   32 
 PWFSLSmoke-1.0.3/PWFSLSmoke/R/wrcc_downloadData.R                     |   18 
 PWFSLSmoke-1.0.3/PWFSLSmoke/R/wrcc_loadLatest.R                       |    5 
 PWFSLSmoke-1.0.3/PWFSLSmoke/R/wrcc_parseData.R                        |   22 
 PWFSLSmoke-1.0.3/PWFSLSmoke/R/wrcc_qualityControl.R                   |   43 -
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 PWFSLSmoke-1.0.3/PWFSLSmoke/inst/doc/Data_Model.Rmd                   |   75 +-
 PWFSLSmoke-1.0.3/PWFSLSmoke/inst/doc/Data_Model.html                  |  194 +++--
 PWFSLSmoke-1.0.3/PWFSLSmoke/inst/doc/Maps_and_Timeseries_Plots.R      |   30 
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 PWFSLSmoke-1.0.3/PWFSLSmoke/man/airsisDump_parseData.Rd               |    4 
 PWFSLSmoke-1.0.3/PWFSLSmoke/man/airsis_BAM1020QualityControl.Rd       |    6 
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 PWFSLSmoke-1.0.3/PWFSLSmoke/man/airsis_availableUnits.Rd              |    7 
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 PWFSLSmoke-1.0.3/PWFSLSmoke/man/monitorPlot_timeOfDaySpaghetti.Rd     |    2 
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 PWFSLSmoke-1.0.3/PWFSLSmoke/man/skill_ROC.Rd                          |    4 
 PWFSLSmoke-1.0.3/PWFSLSmoke/man/skill_ROCPlot.Rd                      |    4 
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 PWFSLSmoke-1.0.3/PWFSLSmoke/man/wrcc_createDataDataframe.Rd           |   10 
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 PWFSLSmoke-1.0.3/PWFSLSmoke/man/wrcc_qualityControl.Rd                |   10 
 PWFSLSmoke-1.0.3/PWFSLSmoke/vignettes/Data_Model.Rmd                  |   75 +-
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 186 files changed, 3231 insertions(+), 2533 deletions(-)

More information about PWFSLSmoke at CRAN
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Package JuniperKernel updated to version 1.2.0.0 with previous version 1.0.0.0 dated 2017-12-19

Title: Kernel for 'Jupyter'
Description: Provides a full implementation of the 'Jupyter' <http://jupyter.org/> messaging protocol in C++ by leveraging 'Rcpp' and 'Xeus' <https://github.com/QuantStack/xeus>. 'Jupyter' supplies an interactive computing environment and a messaging protocol defined over 'ZeroMQ' for multiple programming languages. This package implements the 'Jupyter' kernel interface so that 'R' is exposed to this interactive computing environment. 'ZeroMQ' functionality is provided by the 'pbdZMQ' package. 'Xeus' is a C++ library that facilitates the implementation of kernels for 'Jupyter'. Additionally, 'Xeus' provides an interface to libraries that exist in the 'Jupyter' ecosystem for building widgets, plotting, and more <https://blog.jupyter.org/interactive-workflows-for-c-with-jupyter-fe9b54227d92>. 'JuniperKernel' uses 'Xeus' as a library for the 'Jupyter' messaging protocol.
Author: Spencer Aiello [aut, cre, cph], Wei-Chen Chen [ctb], Stephan Brumme [cph], Jake Luciani [cph], Tony Plate [cph], Matthieu Decorde [cph], RStudio (Hadley Wickham) [cph], Sylvain Corlay [cph], Johan Mabille [cph], Niels Lohmann [cph]
Maintainer: Spencer Aiello <spnrpa@gmail.com>

Diff between JuniperKernel versions 1.0.0.0 dated 2017-12-19 and 1.2.0.0 dated 2018-01-04

 JuniperKernel-1.0.0.0/JuniperKernel/inst/include/json.hpp                    |only
 JuniperKernel-1.0.0.0/JuniperKernel/inst/include/zmq.h                       |only
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 JuniperKernel-1.2.0.0/JuniperKernel/DESCRIPTION                              |   24 
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 JuniperKernel-1.2.0.0/JuniperKernel/R/RcppExports.R                          |   20 
 JuniperKernel-1.2.0.0/JuniperKernel/R/booter.R                               |    3 
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 JuniperKernel-1.2.0.0/JuniperKernel/R/is_complete_request.R                  |    4 
 JuniperKernel-1.2.0.0/JuniperKernel/R/juniper.R                              |    3 
 JuniperKernel-1.2.0.0/JuniperKernel/R/zzz.R                                  |    2 
 JuniperKernel-1.2.0.0/JuniperKernel/configure                                |   38 
 JuniperKernel-1.2.0.0/JuniperKernel/inst/COPYRIGHTS                          |   27 
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 JuniperKernel-1.2.0.0/JuniperKernel/inst/include/juniper/jmessage.h          |   15 
 JuniperKernel-1.2.0.0/JuniperKernel/inst/include/juniper/juniper.h           |   14 
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 JuniperKernel-1.2.0.0/JuniperKernel/inst/include/juniper/utils.h             |   20 
 JuniperKernel-1.2.0.0/JuniperKernel/inst/include/juniper/xbridge.h           |    2 
 JuniperKernel-1.2.0.0/JuniperKernel/inst/include/xeus/nl_json.hpp            |15116 +++++-----
 JuniperKernel-1.2.0.0/JuniperKernel/inst/include/xeus/xeus.hpp               |    4 
 JuniperKernel-1.2.0.0/JuniperKernel/inst/include/xtl/xany.hpp                |    4 
 JuniperKernel-1.2.0.0/JuniperKernel/inst/include/xtl/xbase64.hpp             |   11 
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Package binst updated to version 0.2.1 with previous version 0.2.0 dated 2016-06-17

Title: Data Preprocessing, Binning for Classification and Regression
Description: Various supervised and unsupervised binning tools including using entropy, recursive partition methods and clustering.
Author: Chapman Siu
Maintainer: Chapman Siu <chpmn.siu@gmail.com>

Diff between binst versions 0.2.0 dated 2016-06-17 and 0.2.1 dated 2018-01-04

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Package bda updated to version 10.1.9 with previous version 5.1.6 dated 2015-07-29

Title: Density Estimation for Grouped Data
Description: Functions for density estimation based on grouped data, and next-generation gene expression data.
Author: Bin Wang <bwang@southalabama.edu>.
Maintainer: Bin Wang <bwang@southalabama.edu>

Diff between bda versions 5.1.6 dated 2015-07-29 and 10.1.9 dated 2018-01-04

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Package fmdates updated to version 0.1.4 with previous version 0.1.3 dated 2017-10-08

Title: Financial Market Date Calculations
Description: Implements common date calculations relevant for specifying the economic nature of financial market contracts that are typically defined by International Swap Dealer Association (ISDA, <http://www2.isda.org>) legal documentation. This includes methods to check whether dates are business days in certain locales, functions to adjust and shift dates and time length (or day counter) calculations.
Author: Imanuel Costigan [aut, cre]
Maintainer: Imanuel Costigan <i.costigan@me.com>

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Package extraDistr updated to version 1.8.8 with previous version 1.8.7 dated 2017-09-22

Title: Additional Univariate and Multivariate Distributions
Description: Density, distribution function, quantile function and random generation for a number of univariate and multivariate distributions. This package implements the following distributions: Bernoulli, beta-binomial, beta-negative binomial, beta prime, Bhattacharjee, Birnbaum-Saunders, bivariate normal, bivariate Poisson, categorical, Dirichlet, Dirichlet-multinomial, discrete gamma, discrete Laplace, discrete normal, discrete uniform, discrete Weibull, Frechet, gamma-Poisson, generalized extreme value, Gompertz, generalized Pareto, Gumbel, half-Cauchy, half-normal, half-t, Huber density, inverse chi-squared, inverse-gamma, Kumaraswamy, Laplace, location-scale t, logarithmic, Lomax, multivariate hypergeometric, multinomial, negative hypergeometric, non-standard beta, normal mixture, Poisson mixture, Pareto, power, reparametrized beta, Rayleigh, shifted Gompertz, Skellam, slash, triangular, truncated binomial, truncated normal, truncated Poisson, Tukey lambda, Wald, zero-inflated binomial, zero-inflated negative binomial, zero-inflated Poisson.
Author: Tymoteusz Wolodzko
Maintainer: Tymoteusz Wolodzko <twolodzko+extraDistr@gmail.com>

Diff between extraDistr versions 1.8.7 dated 2017-09-22 and 1.8.8 dated 2018-01-04

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Package crs updated to version 0.15-30 with previous version 0.15-29 dated 2017-10-31

Title: Categorical Regression Splines
Description: Regression splines that handle a mix of continuous and categorical (discrete) data often encountered in applied settings. I would like to gratefully acknowledge support from the Natural Sciences and Engineering Research Council of Canada (NSERC, <http://www.nserc-crsng.gc.ca>), the Social Sciences and Humanities Research Council of Canada (SSHRC, <http://www.sshrc-crsh.gc.ca>), and the Shared Hierarchical Academic Research Computing Network (SHARCNET, <https://www.sharcnet.ca>).
Author: Jeffrey S. Racine [aut, cre], Zhenghua Nie [aut], Brian D. Ripley [ctb] (stepCV.R)
Maintainer: Jeffrey S. Racine <racinej@mcmaster.ca>

Diff between crs versions 0.15-29 dated 2017-10-31 and 0.15-30 dated 2018-01-04

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Package cometExactTest updated to version 0.1.4 with previous version 0.1.3 dated 2015-10-31

Title: Exact Test from the Combinations of Mutually Exclusive Alterations (CoMEt) Algorithm
Description: An algorithm for identifying combinations of mutually exclusive alterations in cancer genomes. CoMEt represents the mutations in a set M of k genes with a 2^k dimensional contingency table, and then computes the tail probability of observing T(M) exclusive alterations using an exact statistical test.
Author: Max Leiserson [aut, cre], Hsin-Ta Wu [aut], Fabio Vandin [ctb], Vivian Hsiao [ctb], Benjamin Raphael [ctb]
Maintainer: Max Leiserson <mdml@cs.umd.edu>

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Package analogsea updated to version 0.6.0 with previous version 0.5.0 dated 2016-11-11

Title: Interface to 'Digital Ocean'
Description: Provides a set of functions for interacting with the 'Digital Ocean' API at <https://developers.digitalocean.com/documentation/v2>, including creating images, destroying them, rebooting, getting details on regions, and available images.
Author: Scott Chamberlain [aut, cre], Hadley Wickham [aut], Winston Chang [aut], Bob Rudis [ctb], RStudio [cph]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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Package spind updated to version 2.1.2 with previous version 2.1.1 dated 2017-09-03

Title: Spatial Methods and Indices
Description: Functions for spatial methods based on generalized estimating equations (GEE) and wavelet-revised methods (WRM), functions for scaling by wavelet multiresolution regression (WMRR), conducting multi-model inference, and stepwise model selection. Further, contains functions for spatially corrected model accuracy measures.
Author: Gudrun Carl [cre, aut], Ingolf Kuehn [aut], Sam Levin [aut]
Maintainer: Sam Levin <levisc8@gmail.com>

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Package np updated to version 0.60-5 with previous version 0.60-4 dated 2017-12-04

Title: Nonparametric Kernel Smoothing Methods for Mixed Data Types
Description: Nonparametric (and semiparametric) kernel methods that seamlessly handle a mix of continuous, unordered, and ordered factor data types. We would like to gratefully acknowledge support from the Natural Sciences and Engineering Research Council of Canada (NSERC, <http://www.nserc-crsng.gc.ca>), the Social Sciences and Humanities Research Council of Canada (SSHRC, <http://www.sshrc-crsh.gc.ca>), and the Shared Hierarchical Academic Research Computing Network (SHARCNET, <http://www.sharcnet.ca>).
Author: Jeffrey S. Racine [aut, cre], Tristen Hayfield [aut]
Maintainer: Jeffrey S. Racine <racinej@mcmaster.ca>

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Package janitor updated to version 0.3.1 with previous version 0.3.0 dated 2017-05-06

Title: Simple Tools for Examining and Cleaning Dirty Data
Description: The main janitor functions can: perfectly format data.frame column names; provide quick one- and two-variable tabulations (i.e., frequency tables and crosstabs); and isolate duplicate records. Other janitor functions nicely format the tabulation results. These tabulate-and-report functions approximate popular features of SPSS and Microsoft Excel. This package follows the principles of the "tidyverse" and works well with the pipe function %>%. janitor was built with beginning-to-intermediate R users in mind and is optimized for user-friendliness. Advanced R users can already do everything covered here, but with janitor they can do it faster and save their thinking for the fun stuff.
Author: Sam Firke [aut, cre], Chris Haid [ctb], Ryan Knight [ctb]
Maintainer: Sam Firke <samuel.firke@gmail.com>

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Package DoseFinding updated to version 0.9-16 with previous version 0.9-15 dated 2016-07-26

Title: Planning and Analyzing Dose Finding Experiments
Description: The DoseFinding package provides functions for the design and analysis of dose-finding experiments (with focus on pharmaceutical Phase II clinical trials). It provides functions for: multiple contrast tests, fitting non-linear dose-response models (using Bayesian and non-Bayesian estimation), calculating optimal designs and an implementation of the MCPMod methodology.
Author: Bjoern Bornkamp, Jose Pinheiro, Frank Bretz
Maintainer: Bjoern Bornkamp <bbnkmp@gmail.com>

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Package Rnumerai updated to version 0.2 with previous version 0.1 dated 2017-12-05

Title: Interface to the Numerai Machine Learning Tournament API
Description: Routines to interact with the Numerai Machine Learning Tournament API <https://numer.ai>. The functionality includes the ability to automatically download the current tournament data, submit predictions, and to get information for your user. General 'GraphQL' queries can also be executed.
Author: Omni Analytics Group [aut], Eric Hare [cre]
Maintainer: Eric Hare <eric@omnianalytics.io>

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Package rioja updated to version 0.9-15.1 with previous version 0.9-15 dated 2017-06-18

Title: Analysis of Quaternary Science Data
Description: Functions for the analysis of Quaternary science data, including constrained clustering, WA, WAPLS, IKFA, MLRC and MAT transfer functions, and stratigraphic diagrams.
Author: Steve Juggins
Maintainer: ORPHANED

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Package pcaPP updated to version 1.9-72.1 with previous version 1.9-72 dated 2017-06-27

Title: Robust PCA by Projection Pursuit
Description: Provides functions for robust PCA by projection pursuit. The methods are described in Croux et al. (2006) <doi:10.2139/ssrn.968376>, Croux et al. (2013) <doi:10.1080/00401706.2012.727746>, Todorov and Filzmoser (2013) <doi:10.1007/978-3-642-33042-1_31>.
Author: Peter Filzmoser, Heinrich Fritz, Klaudius Kalcher
Maintainer: ORPHANED

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Package stacomiR updated to version 0.5.3.1 with previous version 0.5.3 dated 2017-06-26

Title: Fish Migration Monitoring
Description: Graphical outputs and treatment for a database of fish pass monitoring. It is a part of the 'STACOMI' open source project developed in France by the French Agency for Biodiversity (AFB) institute to centralize data obtained by fish pass monitoring. Version 0.5.3.1 is available in French and English. See <http://stacomir.r-forge.r-project.org/> for more information on 'STACOMI'.
Author: Cedric Briand [aut, cre], Marion Legrand [aut], Timothee Besse [aut]
Maintainer: Cedric Briand <cedric.briand00@gmail.com>

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Package neurovault updated to version 0.5.5 with previous version 0.5.4 dated 2017-12-01

Title: 'Neurovault' Database API Access
Description: Uses 'Neurovault' API <https://neurovault.org/api-docs> to download statistical maps of the human brain stored on that platform.
Author: John Muschelli [aut, cre]
Maintainer: John Muschelli <muschellij2@gmail.com>

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Package dendroTools updated to version 0.0.5 with previous version 0.0.4 dated 2017-10-23

Title: Linear and Nonlinear Methods for Analyzing Dendroclimatological Data
Description: Provides novel dendroclimatological methods, primarily used by the Tree-ring research community. There are two core functions. The first one is daily_response(), which finds the optimal sequence of days that are related to one or more tree-ring proxy records. The second one is compare_methods(), which effectively compares several linear and nonlinear regression algorithms.
Author: Jernej Jevsenak [aut, cre], Tom Levanic [ctb]
Maintainer: Jernej Jevsenak <jernej.jevsenak@gmail.com>

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Package bestNormalize updated to version 1.0.0 with previous version 0.2.2 dated 2017-11-14

Title: Normalizing Transformation Functions
Description: Estimate a suite of normalizing transformations, including a new technique based on ranks which can guarantee normally distributed transformed data if there are no ties: ordered quantile normalization. The package is built to estimate the best normalizing transformation for a vector consistently and accurately. It implements the Box-Cox transformation, the Yeo-Johnson transformation, three types of Lambert WxF transformations, and the ordered quantile normalization transformation.
Author: Ryan Andrew Peterson [aut, cre]
Maintainer: Ryan Andrew Peterson <ryan-peterson@uiowa.edu>

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Package SparseDC updated to version 0.1.17 with previous version 0.1.14 dated 2017-10-18

Title: Implementation of SparseDC Algorithm
Description: Implements the algorithm described in Barron, M., Zhang, S. and Li, J. 2017, "A sparse differential clustering algorithm for tracing cell type changes via single-cell RNA-sequencing data", Nucleic Acids Research, gkx1113, <doi:10.1093/nar/gkx1113>. This algorithm clusters samples from two different populations, links the clusters across the conditions and identifies marker genes for these changes. The package was designed for scRNA-Seq data but is also applicable to many other data types, just replace cells with samples and genes with variables. The package also contains functions for estimating the parameters for SparseDC as outlined in the paper. We recommend that users further select their marker genes using the magnitude of the cluster centers.
Author: Jun Li [aut, cre], Martin Barron [aut]
Maintainer: Jun Li <jun.li@nd.edu>

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Package fastrtext updated to version 0.2.5 with previous version 0.2.4 dated 2017-12-09

Title: 'fastText' Wrapper for Text Classification and Word Representation
Description: Learning text representations and text classifiers may rely on the same simple and efficient approach. 'fastText' is an open-source, free, lightweight library that allows users to perform both tasks. It transforms text into continuous vectors that can later be used on many language related task. It works on standard, generic hardware (no 'GPU' required). It also includes model size reduction feature. 'fastText' original source code is available at <https://github.com/facebookresearch/fastText>.
Author: Michaël Benesty [aut, cre, cph], Facebook, Inc [cph]
Maintainer: Michaël Benesty <michael@benesty.fr>

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Package pbdZMQ updated to version 0.3-0 with previous version 0.2-6 dated 2017-05-15

Title: Programming with Big Data -- Interface to ZeroMQ
Description: 'ZeroMQ' is a well-known library for high-performance asynchronous messaging in scalable, distributed applications. This package provides high level R wrapper functions to easily utilize 'ZeroMQ'. We mainly focus on interactive client/server programming frameworks. For convenience, a minimal 'ZeroMQ' library (4.2.2) is shipped with 'pbdZMQ', which can be used if no system installation of 'ZeroMQ' is available. A few wrapper functions compatible with 'rzmq' are also provided.
Author: Wei-Chen Chen [aut, cre], Drew Schmidt [aut], Christian Heckendorf [aut] (file transfer), George Ostrouchov [aut] (Mac OSX), Whit Armstrong [ctb] (some functions are modified from the rzmq package for backwards compatibility), Brian Ripley [ctb] (C code of shellexec, and Solaris), R Core team [ctb] (some functions are modified from the R source code), Philipp A. [ctb] (Fedora), Elliott Sales de Andrade [ctb] (sprintf), Spencer Aiello [ctb] (windows conf)
Maintainer: Wei-Chen Chen <wccsnow@gmail.com>

Diff between pbdZMQ versions 0.2-6 dated 2017-05-15 and 0.3-0 dated 2018-01-04

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Package gjam updated to version 2.1.8 with previous version 2.1.7 dated 2017-12-22

Title: Generalized Joint Attribute Modeling
Description: Analyzes joint attribute data (e.g., species abundance) that are combinations of continuous and discrete data with Gibbs sampling.
Author: James S. Clark, Daniel Taylor-Rodriquez
Maintainer: James S. Clark <jimclark@duke.edu>

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Package tidystringdist updated to version 0.1.2 with previous version 0.1.0 dated 2017-09-29

Title: String Distance Calculation with Tidy Data Principles
Description: Calculation of string distance following the tidy data principles. Built on top of the 'stringdist' package.
Author: Colin Fay [aut, cre]
Maintainer: Colin Fay <contact@colinfay.me>

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Package shadow updated to version 0.4.5 with previous version 0.4.0 dated 2017-11-05

Title: Geometric Shadow Calculations
Description: Functions for calculating (1) shadow heights; (2) shadow footprint on ground polygons; and (3) Sky View Factor values. Inputs include a polygonal layer of obstacle outlines along with their heights, sun azimuth and sun elevation. The package also provides functions for related preliminary calculations: breaking polygons into line segments, finding segment azimuth, shifting segments by azimuth and distance, constructing the footprint of a line-of-sight between an observer and the sun, and creating a 3D grid covering surface area of extruded polygons.
Author: Michael Dorman [aut, cre], Evyatar Erell [ctb], Itai Kloog [ctb], Adi Vulkan [ctb]
Maintainer: Michael Dorman <dorman@post.bgu.ac.il>

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Package rmetasim updated to version 3.1.6 with previous version 3.1.5 dated 2017-11-07

Title: An Individual-Based Population Genetic Simulation Environment
Description: An interface between R and the metasim simulation engine. The simulation environment is documented in: "Strand, A.(2002) <DOI:10.1046/j.1471-8286.2002.00208.x> Metasim 1.0: an individual-based environment for simulating population genetics of complex population dynamics. Mol. Ecol. Notes. Please see the vignettes CreatingLandscapes and Simulating to get some ideas on how to use the packages. See the rmetasim vignette to get an overview and to see important changes to the code in the most recent version.
Author: Allan Strand <stranda@cofc.edu>, James Niehaus
Maintainer: Allan Strand <stranda@cofc.edu>

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Package MSCMT updated to version 1.3.1 with previous version 1.3.0 dated 2017-08-17

Title: Multivariate Synthetic Control Method Using Time Series
Description: Three generalizations of the synthetic control method (which has already an implementation in package 'Synth') are implemented: first, 'MSCMT' allows for using multiple outcome variables, second, time series can be supplied as economic predictors, and third, a well-defined cross-validation approach can be used. Much effort has been taken to make the implementation as stable as possible (including edge cases) without losing computational efficiency. A detailed description of the main algorithms is given in Becker and Klößner (2018) <doi:10.1016/j.ecosta.2017.08.002>.
Author: Martin Becker [aut, cre] (<https://orcid.org/0000-0003-2336-9751>), Stefan Klößner [aut], Karline Soetaert [com], LAPACK authors [cph]
Maintainer: Martin Becker <martin.becker@mx.uni-saarland.de>

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Package detrendr updated to version 0.2.0 with previous version 0.1.0 dated 2017-10-24

Title: Detrend Images
Description: Image series affected by bleaching must be corrected by 'detrending' prior to the performance of quantitative analysis. 'detrendr' is for correctly detrending images. It uses Nolan's algorithm (Nolan et al., 2017 <doi:10.1093/bioinformatics/btx434>).
Author: Rory Nolan [aut, cre, cph], Sergi Padilla-Parra [ths, cph]
Maintainer: Rory Nolan <rorynoolan@gmail.com>

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Package CUFF updated to version 1.4 with previous version 1.3 dated 2017-05-08

Title: Charles's Utility Function using Formula
Description: Utility functions that provides wrapper to descriptive base functions like cor, mean and table. It makes use of the formula interface to pass variables to functions. It also provides operators to concatenate (%+%), to repeat (%n%) and manage character vectors for nice display.
Author: Charles-Édouard Giguère
Maintainer: Charles-Édouard Giguère <ce.giguere@gmail.com>

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Package afCEC updated to version 1.0.2 with previous version 1.0.1 dated 2018-01-04

Title: Active Function Cross-Entropy Clustering
Description: Active function cross-entropy clustering partitions the n-dimensional data into the clusters by finding the parameters of the mixed generalized multivariate normal distribution, that optimally approximates the scattering of the data in the n-dimensional space, whose density function is of the form: p_1*N(mi_1,^sigma_1,sigma_1,f_1)+...+p_k*N(mi_k,^sigma_k,sigma_k,f_k). The above-mentioned generalization is performed by introducing so called "f-adapted Gaussian densities" (i.e. the ordinary Gaussian densities adapted by the "active function"). Additionally, the active function cross-entropy clustering performs the automatic reduction of the unnecessary clusters. For more information please refer to P. Spurek, J. Tabor, K.Byrski, "Active function Cross-Entropy Clustering" (2017) <doi:10.1016/j.eswa.2016.12.011>.
Author: Krzysztof Byrski [aut, cre], Przemyslaw Spurek [ctb]
Maintainer: Krzysztof Byrski <krzysiek.byrski@uj.edu.pl>

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Package DESP (with last version 0.2-2) was removed from CRAN

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

2017-02-02 0.2-2
2016-04-19 0.2
2016-04-13 0.1-6-1
2015-11-23 0.1-6
2015-11-20 0.1-5
2015-10-23 0.1-4
2015-06-16 0.1-3
2015-06-14 0.1-2

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Package wrapr updated to version 1.1.0 with previous version 1.0.2 dated 2017-12-14

Title: Wrap R Functions for Debugging and Parametric Programming
Description: Powerful tools for writing and debugging R code. Provides: 'let()' which converts non-standard evaluation interfaces to parametric standard evaluation interface, 'DebugFnW()' to capture function context on error for debugging, and ':=' named map builder, and lambda-abstraction.
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

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 man/grapes-.-greater-than-grapes.Rd |   10 +++--
 man/grapes-greater-than-.-grapes.Rd |   11 ++++-
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More information about wrapr at CRAN
Permanent link

Package tigris updated to version 0.6.2 with previous version 0.6.1 dated 2018-01-03

Title: Load Census TIGER/Line Shapefiles
Description: Download TIGER/Line shapefiles from the United States Census Bureau (<https://www.census.gov/geo/maps-data/data/tiger-line.html>) and load into R as 'SpatialDataFrame' or 'sf' objects.
Author: Kyle Walker [aut, cre], Bob Rudis [ctb]
Maintainer: Kyle Walker <kyle.walker@tcu.edu>

Diff between tigris versions 0.6.1 dated 2018-01-03 and 0.6.2 dated 2018-01-04

 DESCRIPTION           |   14 +++++++-------
 MD5                   |   10 +++++-----
 NAMESPACE             |    1 +
 R/enumeration_units.R |    6 +++---
 R/states.R            |    2 +-
 R/tigris-package.R    |    1 +
 6 files changed, 18 insertions(+), 16 deletions(-)

More information about tigris at CRAN
Permanent link

Package R.cache updated to version 0.13.0 with previous version 0.12.0 dated 2015-11-12

Title: Fast and Light-Weight Caching (Memoization) of Objects and Results to Speed Up Computations
Description: Memoization can be used to speed up repetitive and computational expensive function calls. The first time a function that implements memoization is called the results are stored in a cache memory. The next time the function is called with the same set of parameters, the results are momentarily retrieved from the cache avoiding repeating the calculations. With this package, any R object can be cached in a key-value storage where the key can be an arbitrary set of R objects. The cache memory is persistent (on the file system).
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between R.cache versions 0.12.0 dated 2015-11-12 and 0.13.0 dated 2018-01-04

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 47 files changed, 998 insertions(+), 1044 deletions(-)

More information about R.cache at CRAN
Permanent link

Package pbdMPI updated to version 0.3-4 with previous version 0.3-3 dated 2016-12-18

Title: Programming with Big Data -- Interface to MPI
Description: An efficient interface to MPI by utilizing S4 classes and methods with a focus on Single Program/Multiple Data ('SPMD') parallel programming style, which is intended for batch parallel execution.
Author: Wei-Chen Chen [aut, cre], George Ostrouchov [aut], Drew Schmidt [aut], Pragneshkumar Patel [aut], Hao Yu [aut], Christian Heckendorf [ctb] (FreeBSD), Brian Ripley [ctb] (Windows HPC Pack 2012), R Core team [ctb] (some functions are modified from the base packages)
Maintainer: Wei-Chen Chen <wccsnow@gmail.com>

Diff between pbdMPI versions 0.3-3 dated 2016-12-18 and 0.3-4 dated 2018-01-04

 ChangeLog                     |   15 ++++++++++++
 DESCRIPTION                   |    8 +++---
 MD5                           |   47 +++++++++++++++++++-------------------
 R/api_apply_RC.r              |    2 -
 R/float32.r                   |only
 R/spmd_allreduce.r            |   21 ++++++++++++++++-
 R/spmd_allreduce_obj.r        |   10 +++++---
 R/spmd_communicator.r         |    6 ++++
 R/spmd_gatherv_obj.r          |    6 +++-
 R/spmd_reduce.r               |   30 +++++++++++++++++++++++-
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 README.md                     |    6 ++--
 man/aa_allreduce-method.Rd    |    2 +
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 man/cc_comm.Rd                |    2 +
 man/yy_api_task_pull.Rd       |    4 +--
 man/zz_spmd_internal.Rd       |    5 ++++
 src/pkg_global.h              |    2 -
 src/spmd.c                    |   26 ++++++++++++---------
 src/spmd.h                    |    6 ++++
 src/spmd_allreduce.c          |   51 ++++++++++++++++++++++++++++++++++++++++++
 src/spmd_communicator.c       |   21 ++++++++++++++++-
 src/spmd_communicator_spawn.c |    9 ++++---
 src/spmd_reduce.c             |   51 ++++++++++++++++++++++++++++++++++++++++++
 src/zzz.c                     |    7 ++++-
 25 files changed, 287 insertions(+), 62 deletions(-)

More information about pbdMPI at CRAN
Permanent link

Package lhs updated to version 0.16 with previous version 0.15 dated 2017-12-20

Title: Latin Hypercube Samples
Description: Provides a number of methods for creating and augmenting Latin Hypercube Samples.
Author: Rob Carnell [aut, cre]
Maintainer: Rob Carnell <bertcarnell@gmail.com>

Diff between lhs versions 0.15 dated 2017-12-20 and 0.16 dated 2018-01-04

 ChangeLog                       |   21 +++++++++++++--------
 DESCRIPTION                     |   10 +++++-----
 MD5                             |    8 ++++----
 inst/doc/augmentLHS_Example.pdf |binary
 tests/runTests.R                |   23 ++++++++---------------
 5 files changed, 30 insertions(+), 32 deletions(-)

More information about lhs at CRAN
Permanent link

Package git2r updated to version 0.21.0 with previous version 0.20.0 dated 2017-12-17

Title: Provides Access to Git Repositories
Description: Interface to the 'libgit2' library, which is a pure C implementation of the 'Git' core methods. Provides access to 'Git' repositories to extract data and running some basic 'Git' commands.
Author: See AUTHORS file.
Maintainer: Stefan Widgren <stefan.widgren@gmail.com>

Diff between git2r versions 0.20.0 dated 2017-12-17 and 0.21.0 dated 2018-01-04

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 git2r-0.21.0/git2r/DESCRIPTION                                 |    8 
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 git2r-0.21.0/git2r/NEWS                                        |   13 
 git2r-0.21.0/git2r/R/libgit2.r                                 |    2 
 git2r-0.21.0/git2r/R/odb.r                                     |   21 
 git2r-0.21.0/git2r/R/refspec.r                                 |    4 
 git2r-0.21.0/git2r/R/remote.r                                  |    2 
 git2r-0.21.0/git2r/R/status.r                                  |    4 
 git2r-0.21.0/git2r/inst/CITATION                               |    4 
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Package coefplot updated to version 1.2.5 with previous version 1.2.4 dated 2016-01-10

Title: Plots Coefficients from Fitted Models
Description: Plots the coefficients from model objects. This very quickly shows the user the point estimates and confidence intervals for fitted models.
Author: Jared P. Lander
Maintainer: Jared P. Lander <packages@jaredlander.com>

Diff between coefplot versions 1.2.4 dated 2016-01-10 and 1.2.5 dated 2018-01-04

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Package codep updated to version 0.7-1 with previous version 0.6-5 dated 2017-01-25

Title: Multiscale Codependence Analysis
Description: Computation of Multiscale Codependence Analysis and spatial eigenvector maps, as an additional feature. Early development version.
Author: Guillaume Guenard and Pierre Legendre, with contributions from Bertrand Pages
Maintainer: Guillaume Guenard <guillaume.guenard@gmail.com>

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Package cdata updated to version 0.5.1 with previous version 0.5.0 dated 2017-11-12

Title: Fluid Data Transformations
Description: Supplies higher-order fluid data transform operators that include pivot and anti-pivot as special cases. Based on the 'DBI' database interface.
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

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Package simmer updated to version 3.6.5 with previous version 3.6.4 dated 2017-11-04

Title: Discrete-Event Simulation for R
Description: A process-oriented and trajectory-based Discrete-Event Simulation (DES) package for R. It is designed as a generic yet powerful framework. The architecture encloses a robust and fast simulation core written in C++ with automatic monitoring capabilities. It provides a rich and flexible R API that revolves around the concept of trajectory, a common path in the simulation model for entities of the same type.
Author: Iñaki Ucar [aut, cph, cre] (0000-0001-6403-5550), Bart Smeets [aut, cph]
Maintainer: Iñaki Ucar <i.ucar86@gmail.com>

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Package rmpw updated to version 0.0.3 with previous version 0.0.2 dated 2017-12-21

Title: Causal Mediation Analysis Using Weighting Approach
Description: We implement causal mediation analysis using the methods proposed by Hong (2010) and Hong, Deutsch & Hill (2015) <doi:10.3102/1076998615583902>. It allows the estimation and hypothesis testing of causal mediation effects through ratio of mediator probability weights (RMPW). This strategy conveniently relaxes the assumption of no treatment-by-mediator interaction while greatly simplifying the outcome model specification without invoking strong distributional assumptions. We also implement a sensitivity analysis by extending the RMPW method to assess potential bias in the presence of omitted pretreatment or posttreatment covariates. The sensitivity analysis strategy was proposed by Hong, Qin, and Yang (2018) <doi:10.3102/1076998617749561>.
Author: Xu Qin, Guanglei Hong, and Fan Yang
Maintainer: Xu Qin <xuqin@uchicago.edu>

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Package ppclust updated to version 0.1.1 with previous version 0.1.0 dated 2017-11-29

Title: Probabilistic and Possibilistic Cluster Analysis
Description: Partitioning clustering divides the objects in a data set into non-overlapping subsets or clusters by using the prototype-based probabilistic and possibilistic clustering algorithms. This package covers a set of the functions for Fuzzy C-Means (Bezdek, 1974) <doi:10.1080/01969727308546047>, Possibilistic C-Means (Krishnapuram & Keller, 1993) <doi:10.1109/91.227387>, Possibilistic Fuzzy C-Means (Pal et al, 2005) <doi:10.1109/TFUZZ.2004.840099>, Possibilistic Clustering Algorithm (Yang et al, 2006) <doi:10.1016/j.patcog.2005.07.005>, Possibilistic C-Means with Repulsion (Wachs et al, 2006) <doi:10.1007/3-540-31662-0_6> and the other variants of hard and soft clustering algorithms. The cluster prototypes and membership matrices required by these partitioning algorithms are initialized with different initialization techniques that are available in the package 'inaparc'. As the distance metrics, not only the Euclidean distance but also a set of the commonly used distance metrics are available to use with some of the algorithms in the package.
Author: Zeynel Cebeci [aut, cre], Figen Yildiz [aut], Alper Tuna Kavlak [aut], Cagatay Cebeci [aut], Hasan Onder [aut]
Maintainer: Zeynel Cebeci <zcebeci@cukurova.edu.tr>

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Package mvnfast updated to version 0.2.4 with previous version 0.2.2 dated 2017-08-14

Title: Fast Multivariate Normal and Student's t Methods
Description: Provides computationally efficient tools related to the multivariate normal and Student's t distributions. The main functionalities are: simulating multivariate random vectors, evaluating multivariate normal or Student's t densities and Mahalanobis distances. These tools are very efficient thanks to the use of C++ code and of the OpenMP API.
Author: Matteo Fasiolo [aut, cre], Thijs van den Berg [ctb]
Maintainer: Matteo Fasiolo <matteo.fasiolo@gmail.com>

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Package LSDsensitivity updated to version 0.1.4 with previous version 0.1.2 dated 2017-11-29

Title: Sensitivity Analysis Tools for LSD
Description: Tools for sensitivity analysis of LSD simulation models. Reads object-oriented data produced by LSD simulation models and performs screening and global sensitivity analysis (Sobol decomposition method, Saltelli et al. (2008) ISBN:9780470725177). A Kriging or polynomial meta-model (Kleijnen (2009) <doi:10.1016/j.ejor.2007.10.013>) is estimated using the simulation data to provide the data required by the Sobol decomposition. LSD (Laboratory for Simulation Development) is free software developed by Marco Valente (documentation and downloads available at <http://labsimdev.org>).
Author: Marcelo C. Pereira
Maintainer: Marcelo C. Pereira <marcelocpereira@uol.com.br>

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New package kstIO with initial version 0.1-0
Package: kstIO
Version: 0.1-0
Date: 2018-01-04
Title: Knowledge Space Theory Input/Output
Authors@R: c(person(given = "Cord", family = "Hockemeyer", role = c("aut", "cre"), email = "cord.hockemeyer@uni-graz.at"))
Description: Knowledge space theory by Doignon and Falmagne (1999) <doi:10.1007/978-3-642-58625-5> is a set- and order-theoretical framework which proposes mathematical formalisms to operationalize knowledge structures in a particular domain. The 'kstIO' package provides basic functionalities to read and write KST data from/to files to be used together with the 'kst', 'pks' or 'DAKS' packages.
License: GPL (>= 3)
Depends: R (>= 3.3.0), pks (>= 0.4-0), MASS, stringr, sets
Suggests: kst (>= 0.3-0)
Author: Cord Hockemeyer [aut, cre]
Maintainer: Cord Hockemeyer <cord.hockemeyer@uni-graz.at>
NeedsCompilation: no
Repository: CRAN
Encoding: UTF-8
Packaged: 2018-01-04 09:58:34 UTC; cord
Date/Publication: 2018-01-04 15:09:11 UTC

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Package CORElearn updated to version 1.52.0 with previous version 1.51.2 dated 2017-08-08

Title: Classification, Regression and Feature Evaluation
Description: A suite of machine learning algorithms written in C++ with the R interface contains several learning techniques for classification and regression. Predictive models include e.g., classification and regression trees with optional constructive induction and models in the leaves, random forests, kNN, naive Bayes, and locally weighted regression. All predictions obtained with these models can be explained and visualized with the 'ExplainPrediction' package. This package is especially strong in feature evaluation where it contains several variants of Relief algorithm and many impurity based attribute evaluation functions, e.g., Gini, information gain, MDL, and DKM. These methods can be used for feature selection or discretization of numeric attributes. The OrdEval algorithm and its visualization is used for evaluation of data sets with ordinal features and class, enabling analysis according to the Kano model of customer satisfaction. Several algorithms support parallel multithreaded execution via OpenMP. The top-level documentation is reachable through ?CORElearn.
Author: Marko Robnik-Sikonja and Petr Savicky
Maintainer: "Marko Robnik-Sikonja" <marko.robnik@fri.uni-lj.si>

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Package chillR updated to version 0.70.0 with previous version 0.66 dated 2017-03-24

Title: Statistical Methods for Phenology Analysis in Temperate Fruit Trees
Description: The phenology of plants (i.e. the timing of their annual life phases) depends on climatic cues. For temperate trees and many other plants, spring phases, such as leaf emergence and flowering, have been found to result from the effects of both cool (chilling) conditions and heat. Fruit tree scientists (pomologists) have developed some metrics to quantify chilling and heat. 'chillR' contains functions for processing temperature records into chilling (Chilling Hours, Utah Chill Units and Chill Portions) and heat units (Growing Degree Hours). Regarding chilling metrics, Chill Portions are often considered the most promising, but they are difficult to calculate. This package makes it easy. 'chillR' also contains procedures for conducting a PLS analysis relating phenological dates (e.g. bloom dates) to either mean temperatures or mean chill and heat accumulation rates, based on long-term weather and phenology records. As of version 0.65, it also includes functions for generating weather scenarios with a weather generator, for conducting climate change analyses for temperature-based climatic metrics and for plotting results from such analyses.
Author: Eike Luedeling
Maintainer: Eike Luedeling <eike@eikeluedeling.com>

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Package BeSS updated to version 1.0.4 with previous version 1.0.3 dated 2017-08-22

Title: Best Subset Selection in Linear, Logistic and CoxPH Models
Description: An implementation of best subset selection in generalized linear model and Cox proportional hazard model via the primal dual active set algorithm proposed by Wen, C., Zhang, A., Quan, S. and Wang, X. (2017) <arXiv:1709.06254>. The algorithm formulates coefficient parameters and residuals as primal and dual variables and utilizes efficient active set selection strategies based on the complementarity of the primal and dual variables.
Author: Canhong Wen, Aijun Zhang, Shijie Quan, Xueqin Wang
Maintainer: Canhong Wen <wencanhong@gmail.com>

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Package bayesLopod updated to version 1.0.1 with previous version 1.0.0 dated 2017-11-27

Title: Bayesian Inference of Landscape Occupancy from Presence-Only Data
Description: Natural history museums and herbaria collectively hold hundreds of millions of zoological, botanical, and paleontological specimens. These collections serve as the foundation for understanding the distribution of life on Earth and the basis for addressing loss of biodiversity, emerging diseases, and other pressing global problems as well as important question in ecology and evolution. One of the short comings of these kind of data is that the lack of evidence of the presence of a species in a certain region does not mean the species is truly absent there. Likewise, specimens are often misidentified, and therefore the report of a species in a locality is not always evidence that a viable population occurs there. The goal of this project is to develop a method which could be used to estimate the probability of presence of a species in a certain study region based on certain sampling effort and presence reports.
Author: Camilo Sanin [aut, cre, cph], Adam B. Smith [aut, cph], Missouri Botanical Garden [cph], Trustees of Columbia University [cph]
Maintainer: Camilo Sanin <camilosanin@gmail.com>

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Package RcppAlgos updated to version 0.2.5 with previous version 0.2.4 dated 2017-12-18

Title: Tools for Combinatorics and Computational Mathematics
Description: Provides optimized functions implemented in C++ with 'Rcpp' for solving problems in combinatorics and computational mathematics. There is a combination function and a permutation function that are both flexible as well as efficient with respect to speed and memory. There are optional constraint parameters that when utilized, generate all combinations/permutations of a vector meeting a specific criteria (E.g. finding all combinations such that the sum is less than a bound). Both functions are capable of handling mulitsets as well. Additionally, there are various sieving functions that quickly generate essential components for problems common in computational mathematics (E.g. number of coprime elements, divisors, prime factorizations, and complete factorizations for many numbers as well as primes numbers in a range).
Author: Joseph Wood
Maintainer: Joseph Wood <jwood000@gmail.com>

Diff between RcppAlgos versions 0.2.4 dated 2017-12-18 and 0.2.5 dated 2018-01-04

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Package kofdata updated to version 0.1.1 with previous version 0.1 dated 2017-11-12

Title: Get Data from the 'KOF Datenservice' API
Description: Read Swiss time series data from the 'KOF Datenservice' API, <https://datenservice.kof.ethz.ch>. The API provides macroeconomic survey data, business cycle and further macro economic time series about Switzerland. The package itself is a set of wrappers around the 'KOF Datenservice' API. The 'kofdata' package is able to consume public information as well as data that requires an API token.
Author: Matthias Bannert [aut, cre], Severin Thoeni [aut]
Maintainer: Matthias Bannert <bannert@kof.ethz.ch>

Diff between kofdata versions 0.1 dated 2017-11-12 and 0.1.1 dated 2018-01-04

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Package KFAS updated to version 1.3.1 with previous version 1.3.0 dated 2017-12-08

Title: Kalman Filter and Smoother for Exponential Family State Space Models
Description: State space modelling is an efficient and flexible method for statistical inference of a broad class of time series and other data. KFAS includes fast functions for Kalman filtering, smoothing, forecasting, and simulation of multivariate exponential family state space models, with observations from Gaussian, Poisson, binomial, negative binomial, and gamma distributions.
Author: Jouni Helske <jouni.helske@iki.fi>
Maintainer: Jouni Helske <jouni.helske@iki.fi>

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Package gWidgetsRGtk2 updated to version 0.0-85 with previous version 0.0-84 dated 2017-07-17

Title: Toolkit Implementation of gWidgets for RGtk2
Description: Port of the gWidgets API to the RGtk2 toolkit.
Author: Michael Lawrence, John Verzani
Maintainer: John Verzani <jverzani@gmail.com>

Diff between gWidgetsRGtk2 versions 0.0-84 dated 2017-07-17 and 0.0-85 dated 2018-01-04

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Package gWidgets2RGtk2 updated to version 1.0-7 with previous version 1.0-6 dated 2017-07-10

Title: Implementation of gWidgets2 for the RGtk2 Package
Description: Implements the 'gWidgets2' API for 'RGtk2.'
Author: John Verzani
Maintainer: John Verzani <jverzani@gmail.com>

Diff between gWidgets2RGtk2 versions 1.0-6 dated 2017-07-10 and 1.0-7 dated 2018-01-04

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New package ensembleEN with initial version 1.1.1
Package: ensembleEN
Type: Package
Title: Ensembling Regularized Linear Models
Version: 1.1.1
Date: 2017-12-18
Author: Anthony Christidis <anthony.christidis@stat.ubc.ca>, Ezequiel Smucler <ezequiels.90@gmail.com>, Ruben Zamar <ruben@stat.ubc.ca>
Maintainer: Ezequiel Smucler <ezequiels.90@gmail.com>
Description: Functions for computing the ensembles of regularized linear regression estimators defined in Christidis, Lakshmanan, Smucler and Zamar (2017) <arXiv:1712.03561>. The procedure works on top of a given penalized linear regression estimator, the Elastic Net in this implementation, by fitting it to possibly overlapping subsets of features, while at the same time encouraging diversity among the subsets, to reduce the correlations between the predictions that result from each fitted model. The predictions from the models are then aggregated.
License: GPL (>= 2)
Biarch: true
Imports: Rcpp (>= 0.12.12)
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat, glmnet, MASS
NeedsCompilation: yes
RoxygenNote: 6.0.1
Packaged: 2018-01-03 19:02:22 UTC; ezequiel
Repository: CRAN
Date/Publication: 2018-01-04 14:46:49 UTC

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Package coxme updated to version 2.2-7 with previous version 2.2-5 dated 2015-06-15

Title: Mixed Effects Cox Models
Description: Cox proportional hazards models containing Gaussian random effects, also known as frailty models.
Author: Terry M. Therneau [aut, cre]
Maintainer: Terry M. Therneau <therneau@mayo.edu>

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Package RcppCNPy updated to version 0.2.8 with previous version 0.2.7 dated 2017-09-22

Title: Read-Write Support for 'NumPy' Files via 'Rcpp'
Description: The 'cnpy' library written by Carl Rogers provides read and write facilities for files created with (or for) the 'NumPy' extension for 'Python'. Vectors and matrices of numeric types can be read or written to and from files as well as compressed files. Support for integer files is available if the package has been built with -std=c++11 which is the default starting with release 0.2.3 following the release of R 3.1.0, and available on all platforms following the release of R 3.3.0 with the updated 'Rtools'.
Author: Dirk Eddelbuettel and Wush Wu
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package lmvar updated to version 1.4.0 with previous version 1.3.0 dated 2017-09-07

Title: Linear Regression with Non-Constant Variances
Description: Runs a linear regression in which both the expected value and the variance can vary per observation. The expected values mu follows the standard linear model mu = X_mu * beta_mu. The standard deviation sigma follows the model log(sigma) = X_sigma * beta_sigma. The package comes with two vignettes: 'Intro' gives an introduction, 'Math' gives mathematical details.
Author: Posthuma Partners <info@posthuma-partners.nl>
Maintainer: Marco Nijmeijer <nijmeijer@posthuma-partners.nl>

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Package FishResp updated to version 0.2.0 with previous version 0.1.0 dated 2017-05-08

Title: An Analytical Tool for Aquatic Respirometry
Description: Calculates metabolic rate of fish and other aquatic organisms measured using an intermittent-flow respirometry approach. The tool is used to run a set of graphical QC tests of raw respirometry data, correct it for background respiration and chamber effect, filter and extract target values of absolute and mass-specific metabolic rate. Experimental design should include background respiration tests and measuring of one or two metabolic rate traits. The package allows a user to import raw respirometry data obtained from 'AutoResp' (see <http://www.loligosystems.com> for more information) or other logger software.
Author: Sergey Morozov [aut, cre], R.J. Scott McCairns [aut], Federico Calboli [ctb]
Maintainer: Sergey Morozov <sergey.morozov@helsinki.fi>

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Package GFD updated to version 0.2.5 with previous version 0.2.4 dated 2017-07-10

Title: Tests for General Factorial Designs
Description: Implemented are the Wald-type statistic, a permuted version thereof as well as the ANOVA-type statistic for general factorial designs, even with non-normal error terms and/or heteroscedastic variances, for crossed designs with an arbitrary number of factors and nested designs with up to three factors.
Author: Sarah Friedrich, Frank Konietschke, Markus Pauly
Maintainer: Sarah Friedrich <sarah.friedrich@uni-ulm.de>

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Package afCEC updated to version 1.0.1 with previous version 1.0.0 dated 2017-12-15

Title: Active Function Cross-Entropy Clustering
Description: Active function cross-entropy clustering partitions the n-dimensional data into the clusters by finding the parameters of the mixed generalized multivariate normal distribution, that optimally approximates the scattering of the data in the n-dimensional space, whose density function is of the form: p_1*N(mi_1,^sigma_1,sigma_1,f_1)+...+p_k*N(mi_k,^sigma_k,sigma_k,f_k). The above-mentioned generalization is performed by introducing so called "f-adapted Gaussian densities" (i.e. the ordinary Gaussian densities adapted by the "active function"). Additionally, the active function cross-entropy clustering performs the automatic reduction of the unnecessary clusters. For more information please refer to P. Spurek, J. Tabor, K.Byrski, "Active function Cross-Entropy Clustering" (2017) <doi:10.1016/j.eswa.2016.12.011>.
Author: Krzysztof Byrski [aut, cre], Przemyslaw Spurek [ctb]
Maintainer: Krzysztof Byrski <krzysiek.byrski@uj.edu.pl>

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New package visvow with initial version 0.1.0
Package: visvow
Type: Package
Title: A Tool for the Visualization of Vowel Variation
Version: 0.1.0
Author: Wilbert Heeringa, Hans Van de Velde
Maintainer: Wilbert Heeringa <wjheeringa@gmail.com>
Description: Visualizes vowel variation in f0, F1, F2, F3 and duration.
License: GNU General Public License (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Imports: shiny, shinyBS, ggplot2, plot3D, readxl, WriteXLS, DT, psych, pracma, plyr, grid, svglite, Cairo, Rdpack
RdMacros: Rdpack
Depends: R (>= 3.4.0)
ByteCompile: TRUE
URL: https://www.visiblevowels.org/
NeedsCompilation: no
Packaged: 2018-01-04 10:30:42 UTC; heeringa
Repository: CRAN
Date/Publication: 2018-01-04 11:05:43 UTC

More information about visvow at CRAN
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Package dad updated to version 3.1.0 with previous version 3.0.1 dated 2017-09-01

Title: Three-Way Data Analysis Through Densities
Description: The three-way data consists of a set of variables measured on several groups of individuals. To each group is associated an estimated probability density function. The package provides tools to create or manage such data and functional methods (principal component analysis, multidimensional scaling, cluster analysis, discriminant analysis...) for such probability densities.
Author: Rachid Boumaza[aut, cre], Pierre Santagostini [aut], Smail Yousfi [aut], Gilles Hunault [ctb], Julie Bourbeillon [ctb], Besnik Pumo [ctb], Sabine Demotes-Mainard [aut]
Maintainer: Rachid Boumaza <rachid.boumaza@agrocampus-ouest.fr>

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Package rptR updated to version 0.9.21 with previous version 0.9.2 dated 2017-04-25

Title: Repeatability Estimation for Gaussian and Non-Gaussian Data
Description: Estimating repeatability (intra-class correlation) from Gaussian, binary, proportion and count data.
Author: Martin Stoffel <martin.adam.stoffel@gmail.com>, Shinichi Nakagawa <s.nakagawa@unsw.edu.au>, Holger Schielzeth <holger.schielzeth@uni-jena.de>
Maintainer: Martin Stoffel <martin.adam.stoffel@gmail.com>

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Package proxy updated to version 0.4-21 with previous version 0.4-20 dated 2017-12-12

Title: Distance and Similarity Measures
Description: Provides an extensible framework for the efficient calculation of auto- and cross-proximities, along with implementations of the most popular ones.
Author: David Meyer [aut, cre], Christian Buchta [aut]
Maintainer: David Meyer <David.Meyer@R-project.org>

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Package PCMRS updated to version 0.1-1 with previous version 0.0-2 dated 2017-11-15

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>

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Package LCAvarsel updated to version 1.1 with previous version 1.0 dated 2017-11-20

Title: Variable Selection for Latent Class Analysis
Description: Variable selection for latent class analysis for model-based clustering of multivariate categorical data. The package implements a general framework for selecting the subset of variables with relevant clustering information and discard those that are redundant and/or not informative. The variable selection method is based on the approach of Fop et al. (2017) <doi:10.1214/17-AOAS1061> and Dean and Raftery (2010) <doi:10.1007/s10463-009-0258-9>. Different algorithms are available to perform the selection: stepwise, swap-stepwise and evolutionary stochastic search. Concomitant covariates used to predict the class membership probabilities can also be included in the latent class analysis model. The selection procedure can be run in parallel on multiple cores machines.
Author: Michael Fop [aut, cre], Thomas Brendan Murphy [ctb]
Maintainer: Michael Fop <michael.fop@ucd.ie>

Diff between LCAvarsel versions 1.0 dated 2017-11-20 and 1.1 dated 2018-01-04

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Package ipft updated to version 0.7.2 with previous version 0.7.1 dated 2017-08-29

Title: Indoor Positioning Fingerprinting Toolset
Description: Algorithms and utility functions for indoor positioning using fingerprinting techniques. These functions are designed for manipulation of RSSI (Received Signal Strength Intensity) data sets, estimation of positions,comparison of the performance of different models, and graphical visualization of data. Machine learning algorithms and methods such as k-nearest neighbors or probabilistic fingerprinting are implemented in this package to perform analysis and estimations over RSSI data sets.
Author: Emilio Sansano [aut, cre], Raúl Montoliu [ctb]
Maintainer: Emilio Sansano <esansano@uji.es>

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Package chngpt updated to version 2018.1-3 with previous version 2017.12-26 dated 2018-01-03

Title: Estimation and Hypothesis Testing for Threshold Regression
Description: Threshold regression models are also called two-phase regression, broken-stick regression, split-point regression, structural change models, and regression kink models. Methods for both continuous and discontinuous threshold models are included, but the support for the former is much greater. This package is described in Fong, Huang, Gilbert and Permar (2017) chngpt: threshold regression model estimation and inference, BMC Bioinformatics, in press, <DOI:10.1186/s12859-017-1863-x>.
Author: Youyi Fong
Maintainer: Youyi Fong <youyifong@gmail.com>

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Package RCurl updated to version 1.95-4.10 with previous version 1.95-4.9 dated 2017-12-27

Title: General Network (HTTP/FTP/...) Client Interface for R
Description: A wrapper for 'libcurl' <http://curl.haxx.se/libcurl/> Provides functions to allow one to compose general HTTP requests and provides convenient functions to fetch URIs, get & post forms, etc. and process the results returned by the Web server. This provides a great deal of control over the HTTP/FTP/... connection and the form of the request while providing a higher-level interface than is available just using R socket connections. Additionally, the underlying implementation is robust and extensive, supporting FTP/FTPS/TFTP (uploads and downloads), SSL/HTTPS, telnet, dict, ldap, and also supports cookies, redirects, authentication, etc.
Author: Duncan Temple Lang and the CRAN team
Maintainer: Duncan Temple Lang <duncan@r-project.org>

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Package ngstk updated to version 0.2.1 with previous version 0.1.1.1 dated 2017-11-27

Title: Next-Generation Sequencing (NGS) Data Analysis Toolkit
Description: Can be used to facilitate the analysis of NGS data, such as visualization, conversion of data format for WEB service input and other purpose.
Author: Jianfeng Li [aut, cre]
Maintainer: Jianfeng Li <lee_jianfeng@sjtu.edu.cn>

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Package BioInstaller updated to version 0.3.2 with previous version 0.3.1 dated 2017-11-26

Title: Lightweight Biology Software Installer
Description: Can be used to install and download massive bioinformatics analysis softwares and databases, such as NGS reads mapping tools with its required databases.
Author: Jianfeng Li [aut, cre]
Maintainer: Jianfeng Li <lee_jianfeng@sjtu.edu.cn>

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Package mph (with last version 0.9) was removed from CRAN

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

2014-01-15 0.9
2014-01-14 0.7

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Package nandb (with last version 0.2.1) was removed from CRAN

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

2017-07-11 0.2.1
2017-05-29 0.2.0

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Package gkmSVM (with last version 0.71.0) was removed from CRAN

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

2016-07-19 0.71.0
2016-06-27 0.70
2015-12-08 0.65
2015-06-30 0.55

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Package rSPACE (with last version 1.2.0) was removed from CRAN

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

2015-11-18 1.2.0
2015-04-08 1.1.1
2015-02-28 1.1.0
2015-01-06 1.0.4
2014-12-16 1.0

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