Fri, 17 Jan 2020

Package FactoMineR updated to version 2.1 with previous version 2.0 dated 2019-11-25

Title: Multivariate Exploratory Data Analysis and Data Mining
Description: Exploratory data analysis methods to summarize, visualize and describe datasets. The main principal component methods are available, those with the largest potential in terms of applications: principal component analysis (PCA) when variables are quantitative, correspondence analysis (CA) and multiple correspondence analysis (MCA) when variables are categorical, Multiple Factor Analysis when variables are structured in groups, etc. and hierarchical cluster analysis. F. Husson, S. Le and J. Pages (2017).
Author: Francois Husson, Julie Josse, Sebastien Le, Jeremy Mazet
Maintainer: Francois Husson <francois.husson@agrocampus-ouest.fr>

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Package smam updated to version 0.5.3 with previous version 0.5.2 dated 2020-01-16

Title: Statistical Modeling of Animal Movements
Description: Animal movement models including moving-resting process with embedded Brownian motion according to Yan et al. (2014) <doi:10.1007/s10144-013-0428-8>, Pozdnyakov et al. (2017) <doi:10.1007/s11009-017-9547-6>, Brownian motion with measurement error according to Pozdnyakov et al. (2014) <doi:10.1890/13-0532.1>, and moving-resting-handling process with embedded Brownian motion, Pozdnyakov et al. (2018) <arXiv:1806.00849>.
Author: Chaoran Hu [aut, cre], Vladimir Pozdnyakov [aut], Jun Yan [aut]
Maintainer: Chaoran Hu <chaoran.hu@uconn.edu>

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Package rlc updated to version 0.2.0 with previous version 0.1.0 dated 2019-10-18

Title: Create Interactive Linked Charts with Minimal Code
Description: An easy-to-use tool to employ interactivity in every-day exploratory analysis. It contains a collection of most commonly used types of charts (such as scatter plots, line plots, heatmaps, bar charts), which can be linked to each other or to other interactive elements with just few lines of code.
Author: Svetlana Ovchinnikova [aut, cre], Simon Anders [aut]
Maintainer: Svetlana Ovchinnikova <s.ovchinnikova@zmbh.uni-heidelberg.de>

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Package pglm updated to version 0.2-2 with previous version 0.2-1 dated 2017-11-02

Title: Panel Generalized Linear Models
Description: Estimation of panel models for glm-like models: this includes binomial models (logit and probit) count models (poisson and negbin) and ordered models (logit and probit), as described in Baltagi (2013) Econometric Analysis of Panel Data, ISBN-13:978-1-118-67232-7, Hsiao (2014) Analysis of Panel Data <doi:10.1017/CBO9781139839327> and Croissant and Millo (2018), Panel Data Econometrics with R, ISBN:978-1-118-94918-4.
Author: Yves Croissant [aut, cre]
Maintainer: Yves Croissant <yves.croissant@univ-reunion.fr>

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Package fdaPDE updated to version 1.0 with previous version 0.1-6 dated 2019-10-14

Title: Functional Data Analysis and Partial Differential Equations; Statistical Analysis of Functional and Spatial Data, Based on Regression with Partial Differential Equation Regularization
Description: An implementation of regression models with partial differential regularizations, making use of the Finite Element Method. The models efficiently handle data distributed over irregularly shaped domains and can comply with various conditions at the boundaries of the domain. A priori information about the spatial structure of the phenomenon under study can be incorporated in the model via the differential regularization.
Author: Eardi Lila [aut], Laura M. Sangalli [aut], Eleonora Arnone [aut, cre], Jim Ramsay [aut], Luca Formaggia [aut], Alessandra Colli [ctb], Luca Colombo [ctb], Carlo de Falco [ctb]
Maintainer: Eleonora Arnone <eleonora.arnone@polimi.it>

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Package Factoshiny updated to version 2.1 with previous version 2.0 dated 2019-12-10

Title: Perform Factorial Analysis from 'FactoMineR' with a Shiny Application
Description: Perform factorial analysis with a menu and draw graphs interactively thanks to 'FactoMineR' and a Shiny application.
Author: Pauline Vaissie, Astrid Monge, Francois Husson
Maintainer: Francois Husson <husson@agrocampus-ouest.fr>

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Package bitsqueezr updated to version 0.1.1 with previous version 0.1.0 dated 2019-01-30

Title: Quantize Floating-Point Numbers for Improved Compressibility
Description: Provides a implementation of floating-point quantization algorithms for use in precision-preserving compression, similar to the approach taken in the 'netCDF operators' (NCO) software package and described in Zender (2016) <doi:10.5194/gmd-2016-63>.
Author: Daniel Baston <dbaston@gmail.com>
Maintainer: Daniel Baston <dbaston@gmail.com>

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Package TeachingSampling updated to version 4.0.1 with previous version 3.6.0 dated 2019-11-18

Title: Selection of Samples and Parameter Estimation in Finite Population
Description: Allows the user to draw probabilistic samples and make inferences from a finite population based on several sampling designs.
Author: Hugo Andres Gutierrez Rojas <hagutierrezro@gmail.com>
Maintainer: Hugo Andres Gutierrez Rojas <hagutierrezro@gmail.com>

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Package samplesize4surveys updated to version 4.1.1 with previous version 3.7.5.1 dated 2019-06-23

Title: Sample Size Calculations for Complex Surveys
Description: Computes the required sample size for estimation of totals, means and proportions under complex sampling designs.
Author: Hugo Andres Gutierrez Rojas
Maintainer: Hugo Andres Gutierrez Rojas <hagutierrezro@gmail.com>

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Package rapiclient updated to version 0.1.3 with previous version 0.1.2 dated 2017-02-13

Title: Dynamic OpenAPI/Swagger Client
Description: Access services specified in OpenAPI (formerly Swagger) format. It is not a code generator. Client is generated dynamically as a list of R functions.
Author: Darko Bergant [aut, cre]
Maintainer: Darko Bergant <darko.bergant@gmail.com>

Diff between rapiclient versions 0.1.2 dated 2017-02-13 and 0.1.3 dated 2020-01-17

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Package datapasta updated to version 3.1.0 with previous version 3.0.0 dated 2018-01-24

Title: R Tools for Data Copy-Pasta
Description: RStudio addins and R functions that make copy-pasting vectors and tables to text painless.
Author: Miles McBain [aut, cre] (<https://orcid.org/0000-0003-2865-2548>), Jonathan Carroll [aut] (<https://orcid.org/0000-0002-1404-5264>), Mark Dulhunty [ctb], Andrew Collier [ctb], Sharla Gelfand [aut], Suthira Owlarn [aut] (<https://orcid.org/0000-0002-3258-1415>), Garrick Aden-Buie [aut] (<https://orcid.org/0000-0002-7111-0077>)
Maintainer: Miles McBain <miles.mcbain@gmail.com>

Diff between datapasta versions 3.0.0 dated 2018-01-24 and 3.1.0 dated 2020-01-17

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Package customLayout updated to version 0.3.1 with previous version 0.3.0 dated 2018-10-31

Title: Arrange Elements on the R's Drawing Area or Inside the PowerPoint's Slide
Description: Create complicated drawing areas for multiple elements by combining much simpler layouts. It is an extended version of layout function from the 'graphics' package, but it also works with 'grid' graphics. It also supports arranging elements inside 'PowerPoint' slides created using the 'officer' package.
Author: Zygmunt Zawadzki [aut, cre]
Maintainer: Zygmunt Zawadzki <zygmunt@zstat.pl>

Diff between customLayout versions 0.3.0 dated 2018-10-31 and 0.3.1 dated 2020-01-17

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Package frailtypack updated to version 3.1.0.1 with previous version 3.1.0 dated 2020-01-16

Title: General Frailty Models: Shared, Joint and Nested Frailty Models with Prediction; Evaluation of Failure-Time Surrogate Endpoints
Description: The following several classes of frailty models using a penalized likelihood estimation on the hazard function but also a parametric estimation can be fit using this R package: 1) A shared frailty model (with gamma or log-normal frailty distribution) and Cox proportional hazard model. Clustered and recurrent survival times can be studied. 2) Additive frailty models for proportional hazard models with two correlated random effects (intercept random effect with random slope). 3) Nested frailty models for hierarchically clustered data (with 2 levels of clustering) by including two iid gamma random effects. 4) Joint frailty models in the context of the joint modelling for recurrent events with terminal event for clustered data or not. A joint frailty model for two semi-competing risks and clustered data is also proposed. 5) Joint general frailty models in the context of the joint modelling for recurrent events with terminal event data with two independent frailty terms. 6) Joint Nested frailty models in the context of the joint modelling for recurrent events with terminal event, for hierarchically clustered data (with two levels of clustering) by including two iid gamma random effects. 7) Multivariate joint frailty models for two types of recurrent events and a terminal event. 8) Joint models for longitudinal data and a terminal event. 9) Trivariate joint models for longitudinal data, recurrent events and a terminal event. 10) Joint frailty models for the validation of surrogate endpoints in multiple randomized clinical trials with failure-time endpoints 11) Two-part joint model for longitudinal semicontinuous data and a terminal event. Prediction values are available (for a terminal event or for a new recurrent event). Left-truncated (not for Joint model), right-censored data, interval-censored data (only for Cox proportional hazard and shared frailty model) and strata are allowed. In each model, the random effects have the gamma or normal distribution. Now, you can also consider time-varying covariates effects in Cox, shared and joint frailty models (1-5). The package includes concordance measures for Cox proportional hazards models and for shared frailty models. Moreover, the package can be used with its shiny application, in a local mode or by following the link below.
Author: Virginie Rondeau, Juan R. Gonzalez, Yassin Mazroui, Audrey Mauguen, Amadou Diakite, Alexandre Laurent, Myriam Lopez, Agnieszka Krol, Casimir L. Sofeu, Julien Dumerc, Denis Rustand
Maintainer: Virginie Rondeau <Virginie.Rondeau@inserm.fr>

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Package sjlabelled updated to version 1.1.2 with previous version 1.1.1 dated 2019-09-13

Title: Labelled Data Utility Functions
Description: Collection of functions dealing with labelled data, like reading and writing data between R and other statistical software packages like 'SPSS', 'SAS' or 'Stata', and working with labelled data. This includes easy ways to get, set or change value and variable label attributes, to convert labelled vectors into factors or numeric (and vice versa), or to deal with multiple declared missing values.
Author: Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>), David Ranzolin [ctb]
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

Diff between sjlabelled versions 1.1.1 dated 2019-09-13 and 1.1.2 dated 2020-01-17

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Package SASxport updated to version 1.6.0.1 with previous version 1.6.0 dated 2018-02-26

Title: Read and Write 'SAS' 'XPORT' Files
Description: Functions for reading, listing the contents of, and writing 'SAS' 'xport' format files. The functions support reading and writing of either individual data frames or sets of data frames. Further, a mechanism has been provided for customizing how variables of different data types are stored.
Author: Gregory R. Warnes <greg@warnes.net> -- Unless otherwise noted, the contents of this package were written by Gregory R. Warnes <greg@warnes.net> and are provided under the terms of the GNU General Public License, version 2.0 or later. -- The files 'src/ieee2ibm.c' and 'src/ibm2ieee.c' were extracted from BRL-CAD file /brlcad/src/libbu/htond.c written by Michael John Muuss, Copyright (c) 2004-2007 United States Government as represented by the U.S. Army Research Laboratory, and is utilized and redistributed under the terms of the GNU Lesser General Public License, version 2.1. -- The file 'R/read.xport.R' is adapted from the 'Hmisc' package created by Frank E. Harrell, Jr. <f.harrell@vanderbilt.edu>, and is utilized and redistributed under the terms of the GNU General Public License, version 2.0 or later. -- The files 'R/xport.R', 'src/SASxport.c', 'src/SASxport.h', and 'src/foreign.h' are copied or adapted from the 'R' 'foreign' package created by Douglas M. Bates <bates@stat.wisc.edu> and Saikat DebRoy <saikat@stat.wisc.edu>, and are utilized and redistributed under the terms of the GNU General Public License, version 2.0 or later. -- The creation of this package was partially funded by Metrum Institute <http://metruminstitute.org>.
Maintainer: Gregory R. Warnes <greg@warnes.net>

Diff between SASxport versions 1.6.0 dated 2018-02-26 and 1.6.0.1 dated 2020-01-17

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Package rmapshaper updated to version 0.4.2 with previous version 0.4.1 dated 2018-10-16

Title: Client for 'mapshaper' for 'Geospatial' Operations
Description: Edit and simplify 'geojson', 'Spatial', and 'sf' objects. This is wrapper around the 'mapshaper' 'JavaScript' library by Matthew Bloch <https://github.com/mbloch/mapshaper/> to perform topologically-aware polygon simplification, as well as other operations such as clipping, erasing, dissolving, and converting 'multi-part' to 'single-part' geometries. It relies on the 'geojsonio' package for working with 'geojson' objects, the 'sf' package for working with 'sf' objects, and the 'sp' and 'rgdal' packages for working with 'Spatial' objects.
Author: Andy Teucher [aut, cre], Kenton Russell [aut] (JavaScript support), Matthew Bloch [cph] (mapshaper Javascript library)
Maintainer: Andy Teucher <andy.teucher@gmail.com>

Diff between rmapshaper versions 0.4.1 dated 2018-10-16 and 0.4.2 dated 2020-01-17

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Package missMDA updated to version 1.16 with previous version 1.15 dated 2019-11-20

Title: Handling Missing Values with Multivariate Data Analysis
Description: Imputation of incomplete continuous or categorical datasets; Missing values are imputed with a principal component analysis (PCA), a multiple correspondence analysis (MCA) model or a multiple factor analysis (MFA) model; Perform multiple imputation with and in PCA or MCA.
Author: Francois Husson, Julie Josse
Maintainer: Francois Husson <husson@agrocampus-ouest.fr>

Diff between missMDA versions 1.15 dated 2019-11-20 and 1.16 dated 2020-01-17

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Package DescTools updated to version 0.99.32 with previous version 0.99.31 dated 2019-12-02

Title: Tools for Descriptive Statistics
Description: A collection of miscellaneous basic statistic functions and convenience wrappers for efficiently describing data. The author's intention was to create a toolbox, which facilitates the (notoriously time consuming) first descriptive tasks in data analysis, consisting of calculating descriptive statistics, drawing graphical summaries and reporting the results. The package contains furthermore functions to produce documents using MS Word (or PowerPoint) and functions to import data from Excel. Many of the included functions can be found scattered in other packages and other sources written partly by Titans of R. The reason for collecting them here, was primarily to have them consolidated in ONE instead of dozens of packages (which themselves might depend on other packages which are not needed at all), and to provide a common and consistent interface as far as function and arguments naming, NA handling, recycling rules etc. are concerned. Google style guides were used as naming rules (in absence of convincing alternatives). The 'camel style' was consequently applied to functions borrowed from contributed R packages as well.
Author: Andri Signorell [aut, cre], Ken Aho [ctb], Andreas Alfons [ctb], Nanina Anderegg [ctb], Tomas Aragon [ctb], Antti Arppe [ctb], Adrian Baddeley [ctb], Kamil Barton [ctb], Ben Bolker [ctb], Hans W. Borchers [ctb], Frederico Caeiro [ctb], Stephane Champely [ctb], Daniel Chessel [ctb], Leanne Chhay [ctb], Clint Cummins [ctb], Michael Dewey [ctb], Harold C. Doran [ctb], Stephane Dray [ctb], Charles Dupont [ctb], Dirk Eddelbuettel [ctb], Jeff Enos [ctb], Claus Ekstrom [ctb], Martin Elff [ctb], Kamil Erguler [ctb], Richard W. Farebrother [ctb], John Fox [ctb], Romain Francois [ctb], Michael Friendly [ctb], Tal Galili [ctb], Matthias Gamer [ctb], Joseph L. Gastwirth [ctb], Yulia R. Gel [ctb], Vilmantas Gegzna [ctb], Juergen Gross [ctb], Gabor Grothendieck [ctb], Frank E. Harrell Jr [ctb], Richard Heiberger [ctb], Michael Hoehle [ctb], Christian W. Hoffmann [ctb], Soeren Hojsgaard [ctb], Torsten Hothorn [ctb], Markus Huerzeler [ctb], Wallace W. Hui [ctb], Pete Hurd [ctb], Rob J. Hyndman [ctb], Pablo J. Villacorta Iglesias [ctb], Christopher Jackson [ctb], Matthias Kohl [ctb], Mikko Korpela [ctb], Max Kuhn [ctb], Detlew Labes [ctb], Duncan Temple Lang [ctb], Friederich Leisch [ctb], Jim Lemon [ctb], Dong Li [ctb], Martin Maechler [ctb], Arni Magnusson [ctb], Daniel Malter [ctb], George Marsaglia [ctb], John Marsaglia [ctb], Alina Matei [ctb], David Meyer [ctb], Weiwen Miao [ctb], Giovanni Millo [ctb], Yongyi Min [ctb], David Mitchell [ctb], Franziska Mueller [ctb], Markus Naepflin [ctb], Daniel Navarro [ctb], Henric Nilsson [ctb], Klaus Nordhausen [ctb], Derek Ogle [ctb], Hong Ooi [ctb], Nick Parsons [ctb], Sandrine Pavoine [ctb], Tony Plate [ctb], Roland Rapold [ctb], William Revelle [ctb], Tyler Rinker [ctb], Brian D. Ripley [ctb], Caroline Rodriguez [ctb], Nathan Russell [ctb], Nick Sabbe [ctb], Venkatraman E. Seshan [ctb], Greg Snow [ctb], Michael Smithson [ctb], Karline Soetaert [ctb], Werner A. Stahel [ctb], Alec Stephenson [ctb], Mark Stevenson [ctb], Ralf Stubner [ctb], Matthias Templ [ctb], Terry Therneau [ctb], Yves Tille [ctb], Luis Torgo [ctb], Adrian Trapletti [ctb], Joshua Ulrich [ctb], Kevin Ushey [ctb], Jeremy VanDerWal [ctb], Bill Venables [ctb], John Verzani [ctb], Gregory R. Warnes [ctb], Stefan Wellek [ctb], Hadley Wickham [ctb], Rand R. Wilcox [ctb], Peter Wolf [ctb], Daniel Wollschlaeger [ctb], Joseph Wood [ctb], Ying Wu [ctb], Thomas Yee [ctb], Achim Zeileis [ctb]
Maintainer: Andri Signorell <andri@signorell.net>

Diff between DescTools versions 0.99.31 dated 2019-12-02 and 0.99.32 dated 2020-01-17

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Permanent link

Package XML updated to version 3.99-0.1 with previous version 3.98-1.20 dated 2019-06-06

Title: Tools for Parsing and Generating XML Within R and S-Plus
Description: Many approaches for both reading and creating XML (and HTML) documents (including DTDs), both local and accessible via HTTP or FTP. Also offers access to an 'XPath' "interpreter".
Author: CRAN Team [ctb] (de facto maintainer since 2013), Duncan Temple Lang [aut, cre] (<https://orcid.org/0000-0003-0159-1546>), Tomas Kalibera [ctb]
Maintainer: ORPHANED

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More information about XML at CRAN
Permanent link

Package wrapr updated to version 1.9.4 with previous version 1.9.3 dated 2019-11-03

Title: Wrap R Tools for Debugging and Parametric Programming
Description: Tools for writing and debugging R code. Provides: '%.>%' dot-pipe (an 'S3' configurable pipe), 'let()' (converts non-standard evaluation interfaces to parametric standard evaluation interfaces, inspired by 'gtools:strmacro()' and 'base::bquote()'), 'build_frame()'/'draw_frame()' ('data.frame' example tools), 'qc()' (quoting concatenate), ':=' (named map builder), and more.
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

Diff between wrapr versions 1.9.3 dated 2019-11-03 and 1.9.4 dated 2020-01-17

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More information about wrapr at CRAN
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Package TestCor updated to version 0.0.1.1 with previous version 0.0.1.0 dated 2019-07-06

Title: FWER and FDR Controlling Procedures for Multiple Correlation Tests
Description: Different multiple testing procedures for correlation tests are implemented. These procedures were shown to theoretically control asymptotically the Family Wise Error Rate (Roux (2018) <https://tel.archives-ouvertes.fr/tel-01971574v1>) or the False Discovery Rate (Cai & Liu (2016) <doi:10.1080/01621459.2014.999157>). The package gather four test statistics used in correlation testing, four FWER procedures with either single step or stepdown versions, and four FDR procedures.
Author: Gannaz Irene [aut, cre], Roux Marine [aut]
Maintainer: Gannaz Irene <irene.gannaz@insa-lyon.fr>

Diff between TestCor versions 0.0.1.0 dated 2019-07-06 and 0.0.1.1 dated 2020-01-17

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Package seplyr updated to version 0.8.5 with previous version 0.8.4 dated 2019-07-24

Title: Improved Standard Evaluation Interfaces for Common Data Manipulation Tasks
Description: The 'seplyr' (standard evaluation plying) package supplies improved standard evaluation adapter methods for important common 'dplyr' data manipulation tasks. In addition the 'seplyr' package supplies several new "key operations bound together" methods. These include 'group_summarize()' (which combines grouping, arranging and calculation in an atomic unit), 'add_group_summaries()' (which joins grouped summaries into a 'data.frame' in a well documented manner), 'add_group_indices()' (which adds per-group identifiers to a 'data.frame' without depending on row-order), 'partition_mutate_qt()' (which optimizes mutate sequences), and 'if_else_device()' (which simulates per-row if-else blocks in expression sequences).
Author: John Mount [aut, cre], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

Diff between seplyr versions 0.8.4 dated 2019-07-24 and 0.8.5 dated 2020-01-17

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More information about seplyr at CRAN
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Package sdm updated to version 1.0-81 with previous version 1.0-67 dated 2019-02-26

Title: Species Distribution Modelling
Description: An extensible framework for developing species distribution models using individual and community-based approaches, generate ensembles of models, evaluate the models, and predict species potential distributions in space and time. For more information, please check the following paper: Naimi, B., Araujo, M.B. (2016) <doi:10.1111/ecog.01881>.
Author: Babak Naimi, Miguel B. Araujo
Maintainer: Babak Naimi <naimi.b@gmail.com>

Diff between sdm versions 1.0-67 dated 2019-02-26 and 1.0-81 dated 2020-01-17

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Package explore updated to version 0.5.3 with previous version 0.5.2 dated 2019-11-22

Title: Simplifies Exploratory Data Analysis
Description: Interactive data exploration with one line of code or use an easy to remember set of tidy functions for exploratory data analysis. Introduces three main verbs. explore() to graphically explore a variable or table, describe() to describe a variable or table and report() to create an automated report.
Author: Roland Krasser
Maintainer: Roland Krasser <roland.krasser@gmail.com>

Diff between explore versions 0.5.2 dated 2019-11-22 and 0.5.3 dated 2020-01-17

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Package vein updated to version 0.8.5 with previous version 0.8.0 dated 2019-09-17

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

Diff between vein versions 0.8.0 dated 2019-09-17 and 0.8.5 dated 2020-01-17

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 vein-0.8.5/vein/R/Vehicles.R                 |   27 -
 vein-0.8.5/vein/R/add_polid.R                |   63 +-
 vein-0.8.5/vein/R/adt.R                      |    2 
 vein-0.8.5/vein/R/age.R                      |   25 -
 vein-0.8.5/vein/R/age_hdv.R                  |    8 
 vein-0.8.5/vein/R/age_ldv.R                  |    7 
 vein-0.8.5/vein/R/age_moto.R                 |    9 
 vein-0.8.5/vein/R/celsius.R                  |    5 
 vein-0.8.5/vein/R/cold_mileage.R             |    2 
 vein-0.8.5/vein/R/ef_cetesb.R                |    6 
 vein-0.8.5/vein/R/ef_china.R                 |    4 
 vein-0.8.5/vein/R/ef_evap.R                  |   24 -
 vein-0.8.5/vein/R/ef_fun.R                   |    2 
 vein-0.8.5/vein/R/ef_hdv_scaled.R            |    2 
 vein-0.8.5/vein/R/ef_hdv_speed.R             |    2 
 vein-0.8.5/vein/R/ef_im.R                    |    8 
 vein-0.8.5/vein/R/ef_ive.R                   |    2 
 vein-0.8.5/vein/R/ef_ldv_cold.R              |   12 
 vein-0.8.5/vein/R/ef_ldv_cold_list.R         |    2 
 vein-0.8.5/vein/R/ef_ldv_scaled.R            |    2 
 vein-0.8.5/vein/R/ef_ldv_speed.R             |    2 
 vein-0.8.5/vein/R/ef_nitro.R                 |    2 
 vein-0.8.5/vein/R/ef_wear.R                  |    6 
 vein-0.8.5/vein/R/ef_whe.R                   |    4 
 vein-0.8.5/vein/R/emis.R                     |  440 ++++++++++++++------
 vein-0.8.5/vein/R/emis_chem.R                |   44 +-
 vein-0.8.5/vein/R/emis_cold.R                |  176 ++++----
 vein-0.8.5/vein/R/emis_cold_td.R             |  359 +++++++++++++---
 vein-0.8.5/vein/R/emis_det.R                 |    4 
 vein-0.8.5/vein/R/emis_dist.R                |   35 -
 vein-0.8.5/vein/R/emis_evap.R                |  578 +++++++++++++--------------
 vein-0.8.5/vein/R/emis_evap2.R               |   33 -
 vein-0.8.5/vein/R/emis_grid.R                |   58 ++
 vein-0.8.5/vein/R/emis_hot_td.R              |  555 ++++++++++++++++++++-----
 vein-0.8.5/vein/R/emis_order.R               |   53 +-
 vein-0.8.5/vein/R/emis_paved.R               |   12 
 vein-0.8.5/vein/R/emis_post.R                |   20 
 vein-0.8.5/vein/R/emis_source.R              |   13 
 vein-0.8.5/vein/R/emis_to_streets.R          |    2 
 vein-0.8.5/vein/R/emis_wear.R                |  114 ++---
 vein-0.8.5/vein/R/emis_wrf.R                 |  114 -----
 vein-0.8.5/vein/R/fuel_corr.R                |    2 
 vein-0.8.5/vein/R/grid_emis.R                |  193 +++------
 vein-0.8.5/vein/R/invcop.R                   |  237 +++++------
 vein-0.8.5/vein/R/inventory.R                |   68 +--
 vein-0.8.5/vein/R/long_to_wide.R             |   13 
 vein-0.8.5/vein/R/make_grid.R                |    4 
 vein-0.8.5/vein/R/matvect.R                  |    4 
 vein-0.8.5/vein/R/my_age.R                   |    6 
 vein-0.8.5/vein/R/netspeed.R                 |   23 -
 vein-0.8.5/vein/R/remove_units.R             |    6 
 vein-0.8.5/vein/R/speciate.R                 |   13 
 vein-0.8.5/vein/R/split_emis.R               |    5 
 vein-0.8.5/vein/R/st_explode.R               |only
 vein-0.8.5/vein/R/temp_fact.R                |    9 
 vein-0.8.5/vein/R/to_latex.R                 |    6 
 vein-0.8.5/vein/R/vein_notes.R               |    2 
 vein-0.8.5/vein/R/vkm.R                      |    8 
 vein-0.8.5/vein/R/wide_to_long.R             |    2 
 vein-0.8.5/vein/inst/README.Rmd              |   28 -
 vein-0.8.5/vein/inst/README.html             |   35 -
 vein-0.8.5/vein/man/EmissionFactors.Rd       |    2 
 vein-0.8.5/vein/man/EmissionFactorsList.Rd   |    2 
 vein-0.8.5/vein/man/Emissions.Rd             |   15 
 vein-0.8.5/vein/man/EmissionsArray.Rd        |    7 
 vein-0.8.5/vein/man/GriddedEmissionsArray.Rd |   20 
 vein-0.8.5/vein/man/Speed.Rd                 |    2 
 vein-0.8.5/vein/man/Vehicles.Rd              |    3 
 vein-0.8.5/vein/man/add_polid.Rd             |   19 
 vein-0.8.5/vein/man/adt.Rd                   |    2 
 vein-0.8.5/vein/man/age.Rd                   |    6 
 vein-0.8.5/vein/man/age_hdv.Rd               |    2 
 vein-0.8.5/vein/man/age_ldv.Rd               |    2 
 vein-0.8.5/vein/man/age_moto.Rd              |    2 
 vein-0.8.5/vein/man/celsius.Rd               |    5 
 vein-0.8.5/vein/man/cold_mileage.Rd          |    2 
 vein-0.8.5/vein/man/ef_cetesb.Rd             |    2 
 vein-0.8.5/vein/man/ef_china.Rd              |    2 
 vein-0.8.5/vein/man/ef_evap.Rd               |   18 
 vein-0.8.5/vein/man/ef_fun.Rd                |    2 
 vein-0.8.5/vein/man/ef_hdv_scaled.Rd         |    2 
 vein-0.8.5/vein/man/ef_hdv_speed.Rd          |    2 
 vein-0.8.5/vein/man/ef_im.Rd                 |    2 
 vein-0.8.5/vein/man/ef_ive.Rd                |    2 
 vein-0.8.5/vein/man/ef_ldv_cold.Rd           |    2 
 vein-0.8.5/vein/man/ef_ldv_cold_list.Rd      |    2 
 vein-0.8.5/vein/man/ef_ldv_scaled.Rd         |    2 
 vein-0.8.5/vein/man/ef_ldv_speed.Rd          |    2 
 vein-0.8.5/vein/man/ef_nitro.Rd              |    2 
 vein-0.8.5/vein/man/ef_whe.Rd                |    2 
 vein-0.8.5/vein/man/emis.Rd                  |  146 ++++--
 vein-0.8.5/vein/man/emis_chem.Rd             |    9 
 vein-0.8.5/vein/man/emis_cold.Rd             |   40 +
 vein-0.8.5/vein/man/emis_cold_td.Rd          |   69 ++-
 vein-0.8.5/vein/man/emis_det.Rd              |    2 
 vein-0.8.5/vein/man/emis_dist.Rd             |    4 
 vein-0.8.5/vein/man/emis_evap.Rd             |    2 
 vein-0.8.5/vein/man/emis_evap2.Rd            |    2 
 vein-0.8.5/vein/man/emis_grid.Rd             |   19 
 vein-0.8.5/vein/man/emis_hot_td.Rd           |  141 +++++-
 vein-0.8.5/vein/man/emis_order.Rd            |   37 +
 vein-0.8.5/vein/man/emis_paved.Rd            |    2 
 vein-0.8.5/vein/man/emis_post.Rd             |    2 
 vein-0.8.5/vein/man/emis_to_streets.Rd       |    2 
 vein-0.8.5/vein/man/emis_wear.Rd             |    2 
 vein-0.8.5/vein/man/emis_wrf.Rd              |only
 vein-0.8.5/vein/man/fuel_corr.Rd             |    2 
 vein-0.8.5/vein/man/grid_emis.Rd             |   29 -
 vein-0.8.5/vein/man/inventory.Rd             |   10 
 vein-0.8.5/vein/man/long_to_wide.Rd          |    6 
 vein-0.8.5/vein/man/make_grid.Rd             |    2 
 vein-0.8.5/vein/man/my_age.Rd                |    2 
 vein-0.8.5/vein/man/netspeed.Rd              |   11 
 vein-0.8.5/vein/man/remove_units.Rd          |    4 
 vein-0.8.5/vein/man/speciate.Rd              |    2 
 vein-0.8.5/vein/man/split_emis.Rd            |    2 
 vein-0.8.5/vein/man/st_explode.Rd            |only
 vein-0.8.5/vein/man/temp_fact.Rd             |    2 
 vein-0.8.5/vein/man/to_latex.Rd              |    6 
 vein-0.8.5/vein/man/vein-deprecated.Rd       |   25 -
 vein-0.8.5/vein/man/vein-package.Rd          |    2 
 vein-0.8.5/vein/man/vein_notes.Rd            |    2 
 vein-0.8.5/vein/man/vkm.Rd                   |    2 
 vein-0.8.5/vein/man/wide_to_long.Rd          |    2 
 vein-0.8.5/vein/src                          |only
 140 files changed, 2850 insertions(+), 2112 deletions(-)

More information about vein at CRAN
Permanent link

Package srvyr updated to version 0.3.7 with previous version 0.3.6 dated 2019-10-05

Title: 'dplyr'-Like Syntax for Summary Statistics of Survey Data
Description: Use piping, verbs like 'group_by' and 'summarize', and other 'dplyr' inspired syntactic style when calculating summary statistics on survey data using functions from the 'survey' package.
Author: Greg Freedman Ellis [aut, cre], Thomas Lumley [ctb], Tomasz Żółtak [ctb], Ben Schneider [ctb]
Maintainer: Greg Freedman Ellis <greg.freedman@gmail.com>

Diff between srvyr versions 0.3.6 dated 2019-10-05 and 0.3.7 dated 2020-01-17

 DESCRIPTION                              |   10 
 MD5                                      |   71 ++---
 NAMESPACE                                |  413 +++++++++++++++----------------
 NEWS.md                                  |   10 
 R/manip.r                                |   17 +
 R/subset_svy_vars.R                      |    2 
 R/survey_statistics.r                    |   18 -
 build/vignette.rds                       |binary
 inst/doc/extending-srvyr.R               |   10 
 inst/doc/extending-srvyr.html            |  261 ++++++++++---------
 inst/doc/srvyr-database.R                |   18 -
 inst/doc/srvyr-database.html             |  385 +++++++++++++++-------------
 inst/doc/srvyr-vs-survey.R               |   26 -
 inst/doc/srvyr-vs-survey.html            |  273 +++++++++++---------
 man/as_survey_design.Rd                  |   36 ++
 man/as_survey_rep.Rd                     |   74 ++++-
 man/as_survey_twophase.Rd                |   14 -
 man/as_tibble.Rd                         |    2 
 man/collect.Rd                           |    2 
 man/current_svy.Rd                       |    2 
 man/dplyr_single.Rd                      |    4 
 man/get_var_est.Rd                       |   11 
 man/pipe.Rd                              |    2 
 man/srvyr-se-deprecated.Rd               |   56 +++-
 man/srvyr.Rd                             |    1 
 man/survey_mean.Rd                       |   16 -
 man/survey_quantile.Rd                   |   37 ++
 man/survey_ratio.Rd                      |   14 -
 man/survey_tally.Rd                      |   21 +
 man/survey_total.Rd                      |   12 
 man/survey_var.Rd                        |   11 
 man/svychisq.Rd                          |    4 
 man/tbl_vars.Rd                          |    2 
 tests/testthat/test_as_survey_rep.r      |   10 
 tests/testthat/test_as_survey_twophase.r |    8 
 tests/testthat/test_dplyr_verbs.R        |only
 tests/testthat/test_survey_statistics.r  |   60 +++-
 37 files changed, 1101 insertions(+), 812 deletions(-)

More information about srvyr at CRAN
Permanent link

Package spatialEco updated to version 1.3-0 with previous version 1.2-1 dated 2019-10-03

Title: Spatial Analysis and Modelling Utilities
Description: Utilities to support spatial data manipulation, query, sampling and modelling. Functions include models for species population density, download utilities for climate and global deforestation spatial products, spatial smoothing, multivariate separability, point process model for creating pseudo- absences and sub-sampling, polygon and point-distance landscape metrics, auto-logistic model, sampling models, cluster optimization, statistical exploratory tools and raster-based metrics.
Author: Jeffrey S. Evans [aut, cre]
Maintainer: Jeffrey S. Evans <jeffrey_evans@tnc.org>

Diff between spatialEco versions 1.2-1 dated 2019-10-03 and 1.3-0 dated 2020-01-17

 DESCRIPTION                      |   23 +--
 MD5                              |  284 ++++++++++++++++++++-----------------
 NAMESPACE                        |  260 ++++++++++++++++++----------------
 R/ClassStat.R                    |only
 R/PatchStat.R                    |only
 R/asc.from.raster.R              |only
 R/concordance.R                  |   11 -
 R/connected.pixels.R             |only
 R/crossCorrelation.R             |   15 -
 R/download.prism.R               |    4 
 R/explode.R                      |only
 R/focal.lmetrics.R               |    7 
 R/grid.info.R                    |only
 R/knn.R                          |   90 ++++++++---
 R/land.metrics.R                 |   21 +-
 R/nth.values.R                   |only
 R/overlap.R                      |only
 R/pseudo.absence.R               |    3 
 R/random.raster.R                |    4 
 R/sp.kde.R                       |  139 ++++++++----------
 R/spatial.select.R               |only
 R/spheroid.distance.R            |only
 R/zonal.stats.R                  |   75 ++++-----
 inst/CITATION                    |    4 
 inst/NEWS                        |   21 ++
 man/ClassStat.Rd                 |only
 man/DAYMET_tiles.Rd              |   42 ++---
 man/PatchStat.Rd                 |only
 man/annulus.matrix.Rd            |   85 +++++------
 man/ants.Rd                      |   48 +++---
 man/asc.from.raster.Rd           |only
 man/bearing.distance.Rd          |   66 ++++----
 man/breeding.density.Rd          |  131 ++++++++---------
 man/class.comparison.Rd          |  187 ++++++++++++------------
 man/classBreaks.Rd               |  102 ++++++-------
 man/concordance.Rd               |   93 +++++-------
 man/conf.interval.Rd             |  106 ++++++-------
 man/connected.pixels.Rd          |only
 man/correlogram.Rd               |  113 +++++++-------
 man/crossCorrelation.Rd          |  296 ++++++++++++++++++++-------------------
 man/csi.Rd                       |  116 +++++++--------
 man/curvature.Rd                 |  155 ++++++++++----------
 man/daymet.point.Rd              |  105 +++++++------
 man/daymet.tiles.Rd              |  130 ++++++++---------
 man/dispersion.Rd                |  110 +++++++-------
 man/dissection.Rd                |   72 ++++-----
 man/divergence.Rd                |   64 ++++----
 man/download.daymet.Rd           |  164 +++++++++++----------
 man/download.hansen.Rd           |  156 ++++++++++----------
 man/download.prism.Rd            |  140 +++++++++---------
 man/effect.size.Rd               |  100 ++++++-------
 man/elev.Rd                      |   48 +++---
 man/erase.point.Rd               |   92 ++++++------
 man/explode.Rd                   |only
 man/focal.lmetrics.Rd            |  210 +++++++++++++--------------
 man/fuzzySum.Rd                  |   66 ++++----
 man/gaussian.kernel.Rd           |   68 ++++----
 man/grid.info.Rd                 |only
 man/group.pdf.Rd                 |   92 ++++++------
 man/hexagons.Rd                  |   76 +++++-----
 man/hli.Rd                       |   80 +++++-----
 man/hsp.Rd                       |   98 ++++++------
 man/hybrid.kmeans.Rd             |  118 +++++++--------
 man/idw.smoothing.Rd             |   90 +++++------
 man/insert.values.Rd             |   80 +++++-----
 man/kde.2D.Rd                    |   28 +--
 man/kendall.Rd                   |  145 ++++++++++---------
 man/kl.divergence.Rd             |   82 +++++-----
 man/knn.Rd                       |  146 +++++++++++--------
 man/land.metrics.Rd              |  273 ++++++++++++++++++-----------------
 man/local.min.max.Rd             |   96 ++++++------
 man/loess.boot.Rd                |  148 +++++++++----------
 man/loess.ci.Rd                  |  114 +++++++--------
 man/logistic.regression.Rd       |  266 ++++++++++++++++++-----------------
 man/moments.Rd                   |  120 +++++++--------
 man/morans.plot.Rd               |  167 +++++++++++-----------
 man/mwCorr.Rd                    |   28 +--
 man/nni.Rd                       |   88 +++++------
 man/nth.values.Rd                |only
 man/o.ring.Rd                    |   82 +++++-----
 man/oli.asw.Rd                   |  142 +++++++++---------
 man/optimal.k.Rd                 |  111 +++++++-------
 man/optimized.sample.variance.Rd |  136 ++++++++---------
 man/outliers.Rd                  |   80 +++++-----
 man/overlap.Rd                   |only
 man/parea.sample.Rd              |  111 +++++++-------
 man/parse.bits.Rd                |  140 +++++++++---------
 man/plot.effect.size.Rd          |   38 ++---
 man/plot.loess.boot.Rd           |   72 ++++-----
 man/point.in.poly.Rd             |  202 +++++++++++++-------------
 man/poly.regression.Rd           |  149 ++++++++++---------
 man/polyPerimeter.Rd             |   60 +++----
 man/pp.subsample.Rd              |  165 +++++++++++----------
 man/print.cross.cor.Rd           |   32 ++--
 man/print.effect.size.Rd         |   32 ++--
 man/print.loess.boot.Rd          |   32 ++--
 man/proximity.index.Rd           |  129 ++++++++--------
 man/pseudo.absence.Rd            |  236 ++++++++++++++++---------------
 man/pu.Rd                        |  128 ++++++++--------
 man/random.raster.Rd             |  152 ++++++++++----------
 man/raster.Zscore.Rd             |   88 +++++------
 man/raster.change.Rd             |  213 ++++++++++++++--------------
 man/raster.deviation.Rd          |  105 ++++++-------
 man/raster.downscale.Rd          |  115 ++++++++-------
 man/raster.entropy.Rd            |  118 ++++++++-------
 man/raster.gaussian.smooth.Rd    |  104 ++++++-------
 man/raster.invert.Rd             |   74 ++++-----
 man/raster.kendall.Rd            |  142 +++++++++---------
 man/raster.mds.Rd                |  108 +++++++-------
 man/raster.modifed.ttest.Rd      |  191 +++++++++++++------------
 man/raster.modified.ttest.Rd     |  191 +++++++++++++------------
 man/raster.moments.Rd            |   86 +++++------
 man/raster.transformation.Rd     |  110 +++++++-------
 man/raster.vol.Rd                |  118 +++++++--------
 man/rasterCorrelation.Rd         |   89 +++++------
 man/remove.holes.Rd              |   74 ++++-----
 man/sa.trans.Rd                  |  121 ++++++++-------
 man/sample.annulus.Rd            |  100 ++++++-------
 man/sample.line.Rd               |  164 +++++++++++----------
 man/sample.poly.Rd               |   84 +++++------
 man/sampleTransect.Rd            |   80 +++++-----
 man/sar.Rd                       |   74 ++++-----
 man/se.news.Rd                   |   28 +--
 man/separability.Rd              |  158 ++++++++++----------
 man/sg.smooth.Rd                 |  148 +++++++++----------
 man/shannons.Rd                  |   98 ++++++------
 man/shift.Rd                     |   64 ++++----
 man/similarity.Rd                |  126 ++++++++--------
 man/smooth.time.series.Rd        |  110 +++++++-------
 man/sobal.Rd                     |   92 ++++++------
 man/sp.kde.Rd                    |  166 ++++++++++++---------
 man/sp.na.omit.Rd                |   94 ++++++------
 man/spatial.select.Rd            |only
 man/spherical.sd.Rd              |  130 ++++++++---------
 man/spheroid.distance.Rd         |only
 man/srr.Rd                       |   74 ++++-----
 man/stratified.random.Rd         |  150 +++++++++----------
 man/subsample.distance.Rd        |  143 +++++++++---------
 man/summary.cross.cor.Rd         |   32 ++--
 man/summary.effect.size.Rd       |   32 ++--
 man/summary.loess.boot.Rd        |   32 ++--
 man/swvi.Rd                      |  213 ++++++++++++++--------------
 man/topo.distance.Rd             |  130 ++++++++---------
 man/tpi.Rd                       |  101 ++++++-------
 man/trasp.Rd                     |   72 ++++-----
 man/trend.line.Rd                |   86 +++++------
 man/tri.Rd                       |  124 ++++++++--------
 man/vrm.Rd                       |   80 +++++-----
 man/winsorize.Rd                 |  107 +++++++-------
 man/wt.centroid.Rd               |   86 +++++------
 man/zonal.stats.Rd               |  130 ++++++++---------
 src                              |only
 152 files changed, 7138 insertions(+), 6807 deletions(-)

More information about spatialEco at CRAN
Permanent link

Package RSCAT updated to version 1.1.0 with previous version 1.0.0 dated 2019-04-12

Title: Shadow-Test Approach to Computerized Adaptive Testing
Description: As an advanced approach to computerized adaptive testing (CAT), shadow testing (van der Linden(2005) <doi:10.1007/0-387-29054-0>) dynamically assembles entire shadow tests as a part of selecting items throughout the testing process. Selecting items from shadow tests guarantees the compliance of all content constraints defined by the blueprint. 'RSCAT' is an R package for the shadow-test approach to CAT. The objective of 'RSCAT' is twofold: 1) Enhancing the effectiveness of shadow-test CAT simulation; 2) Contributing to the academic and scientific community for CAT research.
Author: Bingnan Jiang [aut, cre], ACT, Inc. [cph]
Maintainer: Bingnan Jiang <bnjiangece@gmail.com>

Diff between RSCAT versions 1.0.0 dated 2019-04-12 and 1.1.0 dated 2020-01-17

 RSCAT-1.0.0/RSCAT/inst/java/RSCAT-1.0.0.jar                                           |only
 RSCAT-1.0.0/RSCAT/java/src/main/java/org/act/cat/ScoringMethodConfig.java             |only
 RSCAT-1.1.0/RSCAT/DESCRIPTION                                                         |    8 
 RSCAT-1.1.0/RSCAT/MD5                                                                 |  123 -
 RSCAT-1.1.0/RSCAT/NAMESPACE                                                           |    1 
 RSCAT-1.1.0/RSCAT/R/SimResult.R                                                       |    6 
 RSCAT-1.1.0/RSCAT/R/configClasses.R                                                   |    3 
 RSCAT-1.1.0/RSCAT/R/runSim.R                                                          |   11 
 RSCAT-1.1.0/RSCAT/R/shinyAppServer.R                                                  |    3 
 RSCAT-1.1.0/RSCAT/R/shinyAppUI.R                                                      |    3 
 RSCAT-1.1.0/RSCAT/R/utilFunctions.R                                                   |   26 
 RSCAT-1.1.0/RSCAT/README.md                                                           |   11 
 RSCAT-1.1.0/RSCAT/inst/java/RSCAT-1.1.0.jar                                           |only
 RSCAT-1.1.0/RSCAT/java/pom.xml                                                        |  180 -
 RSCAT-1.1.0/RSCAT/java/src/main/java/org/act/cat/AbstractScoringMethodConfig.java     |only
 RSCAT-1.1.0/RSCAT/java/src/main/java/org/act/cat/CatConfig.java                       |   10 
 RSCAT-1.1.0/RSCAT/java/src/main/java/org/act/cat/CatConfigStandard.java               |   16 
 RSCAT-1.1.0/RSCAT/java/src/main/java/org/act/cat/CatEngine.java                       |  121 -
 RSCAT-1.1.0/RSCAT/java/src/main/java/org/act/cat/CatEngineStandard.java               |   35 
 RSCAT-1.1.0/RSCAT/java/src/main/java/org/act/cat/CatFunctions.java                    |  563 ++--
 RSCAT-1.1.0/RSCAT/java/src/main/java/org/act/cat/CatHelper.java                       |    8 
 RSCAT-1.1.0/RSCAT/java/src/main/java/org/act/cat/CatInputStandard.java                |    2 
 RSCAT-1.1.0/RSCAT/java/src/main/java/org/act/cat/CatItemsToAdminister.java            |    4 
 RSCAT-1.1.0/RSCAT/java/src/main/java/org/act/cat/EBIMethod.java                       |only
 RSCAT-1.1.0/RSCAT/java/src/main/java/org/act/cat/ExposureControlData.java             |    2 
 RSCAT-1.1.0/RSCAT/java/src/main/java/org/act/cat/ExposureControlFunctions.java        |   55 
 RSCAT-1.1.0/RSCAT/java/src/main/java/org/act/cat/ItemScores.java                      |    6 
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Package roll updated to version 1.1.4 with previous version 1.1.3 dated 2019-10-04

Title: Rolling Statistics
Description: Fast and efficient computation of rolling statistics for time-series data.
Author: Jason Foster
Maintainer: Jason Foster <jason.j.foster@gmail.com>

Diff between roll versions 1.1.3 dated 2019-10-04 and 1.1.4 dated 2020-01-17

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Package RhpcBLASctl updated to version 0.20-17 with previous version 0.18-205 dated 2018-07-24

Title: Control the Number of Threads on 'BLAS'
Description: Control the number of threads on 'BLAS' (Aka 'GotoBLAS', 'OpenBLAS', 'ACML', 'BLIS' and 'MKL'). And possible to control the number of threads in 'OpenMP'. Get a number of logical cores and physical cores if feasible.
Author: Junji NAKANO <nakanoj@ism.ac.jp> and Ei-ji Nakama <nakama@ki.rim.or.jp>
Maintainer: Ei-ji Nakama <nakama@ki.rim.or.jp>

Diff between RhpcBLASctl versions 0.18-205 dated 2018-07-24 and 0.20-17 dated 2020-01-17

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Package parameters updated to version 0.4.1 with previous version 0.4.0 dated 2020-01-14

Title: Processing of Model Parameters
Description: Utilities for processing the parameters of various statistical models. Beyond computing p values, CIs, and other indices for a wide variety of models (see support list of insight; Lüdecke, Waggoner & Makowski (2019) <doi:10.21105/joss.01412>), this package implements features like bootstrapping or simulating of parameters and models, feature reduction (feature extraction and variable selection) as well as functions to describe data and variable characteristics (e.g. skewness, kurtosis, smoothness or distribution).
Author: Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>), Dominique Makowski [aut] (<https://orcid.org/0000-0001-5375-9967>), Mattan S. Ben-Shachar [aut] (<https://orcid.org/0000-0002-4287-4801>), Indrajeet Patil [aut] (<https://orcid.org/0000-0003-1995-6531>), Zen J. Lau [ctb]
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

Diff between parameters versions 0.4.0 dated 2020-01-14 and 0.4.1 dated 2020-01-17

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 70 files changed, 183 insertions(+), 287 deletions(-)

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Package fpc updated to version 2.2-4 with previous version 2.2-3 dated 2019-06-28

Title: Flexible Procedures for Clustering
Description: Various methods for clustering and cluster validation. Fixed point clustering. Linear regression clustering. Clustering by merging Gaussian mixture components. Symmetric and asymmetric discriminant projections for visualisation of the separation of groupings. Cluster validation statistics for distance based clustering including corrected Rand index. Standardisation of cluster validation statistics by random clusterings and comparison between many clustering methods and numbers of clusters based on this. Cluster-wise cluster stability assessment. Methods for estimation of the number of clusters: Calinski-Harabasz, Tibshirani and Walther's prediction strength, Fang and Wang's bootstrap stability. Gaussian/multinomial mixture fitting for mixed continuous/categorical variables. Variable-wise statistics for cluster interpretation. DBSCAN clustering. Interface functions for many clustering methods implemented in R, including estimating the number of clusters with kmeans, pam and clara. Modality diagnosis for Gaussian mixtures. For an overview see package?fpc.
Author: Christian Hennig <christian.hennig@unibo.it>
Maintainer: Christian Hennig <christian.hennig@unibo.it>

Diff between fpc versions 2.2-3 dated 2019-06-28 and 2.2-4 dated 2020-01-17

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Package feasts updated to version 0.1.2 with previous version 0.1.1 dated 2019-09-02

Title: Feature Extraction And Statistics for Time Series
Description: Provides a collection of features, decompositions, statistical summaries and graphics functions for the analysing tidy time series data. The package name 'feasts' is an acronym comprising of its key features: Feature Extraction And Statistics for Time Series.
Author: Mitchell O'Hara-Wild [aut, cre], Rob Hyndman [aut], Earo Wang [aut], Di Cook [ctb], Thiyanga Talagala [ctb] (Correlation features), Leanne Chhay [ctb] (Guerrero's method)
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

Diff between feasts versions 0.1.1 dated 2019-09-02 and 0.1.2 dated 2020-01-17

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Package Copula.Markov updated to version 2.7 with previous version 2.6 dated 2020-01-08

Title: Copula-Based Estimation and Statistical Process Control for Serially Correlated Time Series
Description: Estimation and statistical process control are performed under copula-based time-series models. Available are statistical methods in Long and Emura (2014 JCSA), Emura et al. (2017 Commun Stat-Simul) <DOI:10.1080/03610918.2015.1073303>, Huang and Emura (2019 Commun Stat-Simul) <DOI:10.1080/03610918.2019.1602647> and Huang, Chen and Emura (2019-, in revision).
Author: Takeshi Emura, Xinwei Huang, Weiru Chen, Ting-Hsuan Long
Maintainer: Takeshi Emura <takeshiemura@gmail.com>

Diff between Copula.Markov versions 2.6 dated 2020-01-08 and 2.7 dated 2020-01-17

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Package caTools updated to version 1.18.0 with previous version 1.17.1.4 dated 2020-01-13

Title: Tools: Moving Window Statistics, GIF, Base64, ROC AUC, etc
Description: Contains several basic utility functions including: moving (rolling, running) window statistic functions, read/write for GIF and ENVI binary files, fast calculation of AUC, LogitBoost classifier, base64 encoder/decoder, round-off-error-free sum and cumsum, etc.
Author: Jarek Tuszynski <jaroslaw.w.tuszynski@saic.com>
Maintainer: Michael Dietze <mdietze@gfz-potsdam.de>

Diff between caTools versions 1.17.1.4 dated 2020-01-13 and 1.18.0 dated 2020-01-17

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Package dLagM updated to version 1.0.21 with previous version 1.0.19 dated 2019-10-23

Title: Time Series Regression Models with Distributed Lag Models
Description: Provides time series regression models with one predictor using finite distributed lag models, polynomial (Almon) distributed lag models, geometric distributed lag models with Koyck transformation, and autoregressive distributed lag models. It also consists of functions for computation of h-step ahead forecasts from these models. See Baltagi (2011) <doi:10.1007/978-3-642-20059-5> for more information.
Author: Haydar Demirhan [aut, cre, cph] (<https://orcid.org/0000-0002-8565-4710>)
Maintainer: Haydar Demirhan <haydar.demirhan@rmit.edu.au>

Diff between dLagM versions 1.0.19 dated 2019-10-23 and 1.0.21 dated 2020-01-17

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Package bnspatial updated to version 1.1.1 with previous version 1.1 dated 2019-08-03

Title: Spatial Implementation of Bayesian Networks and Mapping
Description: Allows spatial implementation of Bayesian networks and mapping in geographical space. It makes maps of expected value (or most likely state) given known and unknown conditions, maps of uncertainty measured as coefficient of variation or Shannon index (entropy), maps of probability associated to any states of any node of the network. Some additional features are provided as well: parallel processing options, data discretization routines and function wrappers designed for users with minimal knowledge of the R language. Outputs can be exported to any common GIS format.
Author: Dario Masante [aut, cre]
Maintainer: Dario Masante <dario.masante@gmail.com>

Diff between bnspatial versions 1.1 dated 2019-08-03 and 1.1.1 dated 2020-01-17

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More information about bnspatial at CRAN
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Package HTLR updated to version 0.4-2 with previous version 0.4-1 dated 2019-10-08

Title: Bayesian Logistic Regression with Heavy-Tailed Priors
Description: Efficient Bayesian multinomial logistic regression based on heavy-tailed (hyper-LASSO, non-convex) priors. The posterior of coefficients and hyper-parameters is sampled with restricted Gibbs sampling for leveraging the high-dimensionality and Hamiltonian Monte Carlo for handling the high-correlation among coefficients. A detailed description of the method: Li and Yao (2018), Journal of Statistical Computation and Simulation, 88:14, 2827-2851, <arXiv:1405.3319>.
Author: Longhai Li [aut, cre] (<https://orcid.org/0000-0002-3074-8584>), Steven Liu [aut]
Maintainer: Longhai Li <longhai@math.usask.ca>

Diff between HTLR versions 0.4-1 dated 2019-10-08 and 0.4-2 dated 2020-01-17

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 46 files changed, 610 insertions(+), 344 deletions(-)

More information about HTLR at CRAN
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Package comparer (with last version 0.2.0) was removed from CRAN

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

2019-06-18 0.2.0
2018-01-08 0.1.1
2017-11-02 0.1.0

Permanent link
Package iMRMC (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:

2019-04-19 1.2.0
2017-12-12 1.1.0

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