Sat, 28 Oct 2017

Package sinew updated to version 0.3.5.1 with previous version 0.3.2 dated 2017-09-16

Title: Create 'roxygen2' Skeleton with Information from Function Script
Description: Create 'roxygen2' skeleton populated with information scraped from the within the function script. Also creates field entries for imports in the 'DESCRIPTION' and import in the 'NAMESPACE' files. Can be run from the R console or through the 'RStudio' 'addin' menu.
Author: c(person("Jonathan", "Sidi", email = "yonis@metrumrg.com", role = c("aut", "cre")), person("Anton","Grishin",role = "ctb"), person("Lorenzo","Busetto",role = "ctb"))
Maintainer: Jonathan Sidi <yonis@metrumrg.com>

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Package RZigZag updated to version 0.1.4 with previous version 0.1.3 dated 2017-10-17

Title: Zig-Zag Sampler
Description: Implements the Zig-Zag algorithm with subsampling and control variates (ZZ-CV) of (Bierkens, Fearnhead, Roberts, 2016) <arXiv:1607.03188> as applied to Bayesian logistic regression, as well as basic Zig-Zag for a Gaussian target distribution.
Author: Joris Bierkens
Maintainer: Joris Bierkens <joris.bierkens@tudelft.nl>

Diff between RZigZag versions 0.1.3 dated 2017-10-17 and 0.1.4 dated 2017-10-28

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Package nets updated to version 0.9 with previous version 0.8 dated 2016-03-04

Title: Network Estimation for Time Series
Description: Sparse VAR estimation based on LASSO.
Author: Christian Brownlees
Maintainer: Christian Brownlees <christian.brownlees@upf.edu>

Diff between nets versions 0.8 dated 2016-03-04 and 0.9 dated 2017-10-28

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Package kokudosuuchi updated to version 0.4.1 with previous version 0.4.0 dated 2017-10-22

Title: R Interface to 'Kokudo Suuchi' API
Description: Provides an interface to 'Kokudo Suuchi' API, the GIS data service of the Japanese government. See <http://nlftp.mlit.go.jp/ksj-e/index.html> for more information.
Author: Hiroaki Yutani [aut, cre]
Maintainer: Hiroaki Yutani <yutani.ini@gmail.com>

Diff between kokudosuuchi versions 0.4.0 dated 2017-10-22 and 0.4.1 dated 2017-10-28

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Package generalhoslem updated to version 1.3.0 with previous version 1.2.5 dated 2017-06-24

Title: Goodness of Fit Tests for Logistic Regression Models
Description: Functions to assess the goodness of fit of binary, multinomial and ordinal logistic models. Included are the Hosmer-Lemeshow tests (binary, multinomial and ordinal) and the Lipsitz and Pulkstenis-Robinson tests (ordinal).
Author: Matthew Jay [aut, cre]
Maintainer: Matthew Jay <matthew.jay.15@ucl.ac.uk>

Diff between generalhoslem versions 1.2.5 dated 2017-06-24 and 1.3.0 dated 2017-10-28

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Package spData updated to version 0.2.6.2 with previous version 0.2.6.0 dated 2017-10-07

Title: Datasets for Spatial Analysis
Description: Diverse spatial datasets for demonstrating, benchmarking and teaching spatial data analysis. It includes R data of class sf (defined by the package 'sf'), Spatial (sp), and nb (spdep). Unlike other spatial data packages such as 'rnaturalearth' and 'maps', it also contains data stored in a range of file formats including GeoJSON, ESRI Shapefile and GeoPackage. Some of the datasets are designed to illustrate specific analysis techniques. cycle_hire and cycle_hire_osm, for example, is designed to illustrate point pattern analysis techniques. This package interacts with data available through the 'spDataLarge' package, which is available in a 'drat' repository. To access this data package, run 'install.packages("spDataLarge", repos = <https://nowosad.github.io/drat/>, type = "source")'. The size of the 'spDataLarge' package is approximately 20 MB.
Author: Roger Bivand [aut], Jakub Nowosad [aut, cre] (0000-0002-1057-3721), Robin Lovelace [aut] (0000-0001-5679-6536)
Maintainer: Jakub Nowosad <nowosad.jakub@gmail.com>

Diff between spData versions 0.2.6.0 dated 2017-10-07 and 0.2.6.2 dated 2017-10-28

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Package shinymaterial updated to version 0.4.1 with previous version 0.4.0 dated 2017-10-27

Title: Implement Material Design in Shiny Applications
Description: Allows shiny developers to incorporate UI elements based on Google's Material design. See <https://material.io/guidelines/> for more information.
Author: Eric Anderson [aut, cre], Alvin Wang [ctb, cph] (Materialize CSS library), Alan Chang [ctb, cph] (Materialize CSS library), Alex Mark [ctb, cph] (Materialize CSS library), Kevin Louie [ctb, cph] (Materialize CSS library)
Maintainer: Eric Anderson <eric.ray.anderson@gmail.com>

Diff between shinymaterial versions 0.4.0 dated 2017-10-27 and 0.4.1 dated 2017-10-28

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Package PieceExpIntensity updated to version 1.0.1 with previous version 1.0.0 dated 2017-10-27

Title: Bayesian Model to Find Changepoints Based on Rates and Count Data
Description: This function fits a reversible jump Bayesian piecewise exponential model that also includes the intensity of each event considered along with the rate of events.
Author: Andrew G. Chapple
Maintainer: Andrew G. Chapple <agc6@rice.edu>

Diff between PieceExpIntensity versions 1.0.0 dated 2017-10-27 and 1.0.1 dated 2017-10-28

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Package mctest updated to version 1.1.1 with previous version 1.1 dated 2016-12-05

Title: Multicollinearity Diagnostic Measures
Description: Package computes popular and widely used multicollinearity diagnostic measures. Package also indicates which regressors may be the reason of collinearity among regressors.
Author: Muhammad Imdad Ullah and Dr. Muhammad Aslam
Maintainer: Muhammad Imdad Ullah <mimdadasad@gmail.com>

Diff between mctest versions 1.1 dated 2016-12-05 and 1.1.1 dated 2017-10-28

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Package inlmisc updated to version 0.3.5 with previous version 0.3.4 dated 2017-10-26

Title: Miscellaneous Functions for the USGS INL Project Office
Description: A collection of functions for creating high-level graphics, performing raster-based analysis, processing MODFLOW-based models, etc. Used to support packages and scripts written by researchers at the United States Geological Survey (USGS) Idaho National Laboratory (INL) Project Office.
Author: Jason C. Fisher [aut, cre]
Maintainer: Jason C. Fisher <jfisher@usgs.gov>

Diff between inlmisc versions 0.3.4 dated 2017-10-26 and 0.3.5 dated 2017-10-28

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Package Evapotranspiration updated to version 1.12 with previous version 1.11 dated 2017-07-19

Title: Modelling Actual, Potential and Reference Crop Evapotranspiration
Description: Uses data and constants to calculate potential evapotranspiration (PET) and actual evapotranspiration (AET) from 21 different formulations including Penman, Penman-Monteith FAO 56, Priestley-Taylor and Morton formulations.
Author: Danlu Guo [aut, cre] <danlu.guo@adelaide.edu.au>, Seth Westra [aut] <swestra@civeng.adelaide.edu.au>, Tim Peterson [ctb] <timjp@unimelb.edu.au>
Maintainer: Danlu Guo <danlu.guo@unimelb.edu.au>

Diff between Evapotranspiration versions 1.11 dated 2017-07-19 and 1.12 dated 2017-10-28

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Package ClusterR updated to version 1.0.8 with previous version 1.0.7 dated 2017-10-13

Title: Gaussian Mixture Models, K-Means, Mini-Batch-Kmeans and K-Medoids Clustering
Description: Gaussian mixture models, k-means, mini-batch-kmeans and k-medoids clustering with the option to plot, validate, predict (new data) and estimate the optimal number of clusters. The package takes advantage of 'RcppArmadillo' to speed up the computationally intensive parts of the functions.
Author: Lampros Mouselimis <mouselimislampros@gmail.com>
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>

Diff between ClusterR versions 1.0.7 dated 2017-10-13 and 1.0.8 dated 2017-10-28

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Package pinp updated to version 0.0.3 with previous version 0.0.2 dated 2017-09-20

Title: 'pinp' is not 'PNAS'
Description: A 'PNAS'-alike style for 'rmarkdown', derived from the 'Proceedings of the National Academy of Sciences of the United States of America' ('PNAS', see <https://www.pnas.org>) 'LaTeX' style, and adapted for use with 'markdown' and 'pandoc'.
Author: Dirk Eddelbuettel and James Balamuta
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between pinp versions 0.0.2 dated 2017-09-20 and 0.0.3 dated 2017-10-28

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Package coppeCosenzaR updated to version 0.1.3 with previous version 0.1.2 dated 2017-07-10

Title: COPPE-Cosenza Fuzzy Hierarchy Model
Description: The program implements the COPPE-Cosenza Fuzzy Hierarchy Model. The model was based on the evaluation of local alternatives, representing regional potentialities, so as to fulfill demands of economic projects. After defining demand profiles in terms of their technological coefficients, the degree of importance of factors is defined so as to represent the productive activity. The method can detect a surplus of supply without the restriction of the distance of classical algebra, defining a hierarchy of location alternatives. In COPPE-Cosenza Model, the distance between factors is measured in terms of the difference between grades of memberships of the same factors belonging to two or more sets under comparison. The required factors are classified under the following linguistic variables: Critical (CR); Conditioning (C); Little Conditioning (LC); and Irrelevant (I). And the alternatives can assume the following linguistic variables: Excellent (Ex), Good (G), Regular (R), Weak (W), Empty (Em), Zero (Z) and Inexistent (In). The model also provides flexibility, allowing different aggregation rules to be performed and defined by the Decision Maker. Such feature is considered in this package, allowing the user to define other aggregation matrices, since it considers the same linguistic variables mentioned.
Author: Pier Taranti [aut, cre], Leonardo Pessoa [aut], Carlos Cosenza [aut]
Maintainer: Pier Taranti <ptaranti@gmail.com>

Diff between coppeCosenzaR versions 0.1.2 dated 2017-07-10 and 0.1.3 dated 2017-10-28

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Package GSODR updated to version 1.1.0 with previous version 1.0.7 dated 2017-10-16

Title: Global Surface Summary of the Day (GSOD) Weather Data from R
Description: Provides automated downloading, parsing, cleaning, unit conversion and formatting of Global Surface Summary of the Day (GSOD) weather data from the from the USA National Centers for Environmental Information (NCEI) for use in R. Units are converted from from United States Customary System (USCS) units to International System of Units (SI). Stations may be individually checked for number of missing days defined by the user, where stations with too many missing observations are omitted. Only stations with valid reported latitude and longitude values are permitted in the final data. Additional useful elements, saturation vapour pressure (es), actual vapour pressure (ea) and relative humidity are calculated from the original data and included in the final data set. The resulting data include station identification information, state, country, latitude, longitude, elevation, weather observations and associated flags. Data may be automatically saved to disk. File output may be returned as a comma-separated values (CSV) or GeoPackage (GPKG) file. Additional data are included with this R package: a list of elevation values for stations between -60 and 60 degrees latitude derived from the Shuttle Radar Topography Measuring Mission (SRTM). For information on the GSOD data from NCEI, please see the GSOD readme.txt file available from, <http://www1.ncdc.noaa.gov/pub/data/gsod/readme.txt>.
Author: Adam Sparks [aut, cre] (https://orcid.org/0000-0002-0061-8359), Tomislav Hengl [aut] (https://orcid.org/0000-0002-9921-5129), Andrew Nelson [aut] (https://orcid.org/0000-0002-7249-3778), Hugh Parsonage [cph, ctb] (Wrote internal function to calcuate distances for nearest_stations() and map code for station location figure, both taken from our bomrang package, https://orcid.org/0000-0003-4055-0835), Bob Rudis [cph, ctb] (Wrote functionality to interface with NCEI server and cache files for download, https://orcid.org/0000-0001-5670-2640)
Maintainer: Adam Sparks <adamhsparks@gmail.com>

Diff between GSODR versions 1.0.7 dated 2017-10-16 and 1.1.0 dated 2017-10-28

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