Sat, 14 Jan 2023

Package SymTS updated to version 1.0-2 with previous version 1.0-1 dated 2021-11-15

Title: Symmetric Tempered Stable Distributions
Description: Contains methods for simulation and for evaluating the pdf, cdf, and quantile functions for symmetric stable, symmetric classical tempered stable, and symmetric power tempered stable distributions.
Author: Michael Grabchak <mgrabcha@uncc.edu> and Lijuan Cao <lcao2@uncc.edu>
Maintainer: Michael Grabchak <mgrabcha@uncc.edu>

Diff between SymTS versions 1.0-1 dated 2021-11-15 and 1.0-2 dated 2023-01-14

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Package SVDNF updated to version 0.1.3 with previous version 0.1.2 dated 2023-01-06

Title: Discrete Nonlinear Filtering for Stochastic Volatility Models
Description: Generates simulated paths from various financial stochastic volatility models with jumps and applies the discrete nonlinear filter (DNF) of Kitagawa (1987) <doi:10.1080/01621459.1987.10478534> to compute likelihood evaluations, filtering distribution estimates, and maximum likelihood parameter estimates. The algorithm is implemented following the work of B├ęgin and Boudreault (2021) <doi:10.1080/10618600.2020.1840995>.
Author: Louis Arsenault-Mahjoubi [aut, cre], Jean-Francois Begin [aut], Mathieu Boudreault [aut]
Maintainer: Louis Arsenault-Mahjoubi <larsenau@sfu.ca>

Diff between SVDNF versions 0.1.2 dated 2023-01-06 and 0.1.3 dated 2023-01-14

 DESCRIPTION  |    6 +++---
 MD5          |    4 ++--
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Package BranchGLM updated to version 2.0.1 with previous version 2.0.0 dated 2022-10-31

Title: Efficient Branch and Bound Variable Selection for GLMs using 'RcppArmadillo'
Description: Performs efficient and scalable glm best subset selection using a novel implementation of a branch and bound algorithm. To speed up the model fitting process, a range of optimization methods are implemented in 'RcppArmadillo'. Parallel computation is available using 'OpenMP'.
Author: Jacob Seedorff [aut, cre]
Maintainer: Jacob Seedorff <jwseedorff@uiowa.edu>

Diff between BranchGLM versions 2.0.0 dated 2022-10-31 and 2.0.1 dated 2023-01-14

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Package xgboost updated to version 1.7.3.1 with previous version 1.6.0.1 dated 2022-04-16

Title: Extreme Gradient Boosting
Description: Extreme Gradient Boosting, which is an efficient implementation of the gradient boosting framework from Chen & Guestrin (2016) <doi:10.1145/2939672.2939785>. This package is its R interface. The package includes efficient linear model solver and tree learning algorithms. The package can automatically do parallel computation on a single machine which could be more than 10 times faster than existing gradient boosting packages. It supports various objective functions, including regression, classification and ranking. The package is made to be extensible, so that users are also allowed to define their own objectives easily.
Author: Tianqi Chen [aut], Tong He [aut], Michael Benesty [aut], Vadim Khotilovich [aut], Yuan Tang [aut] , Hyunsu Cho [aut], Kailong Chen [aut], Rory Mitchell [aut], Ignacio Cano [aut], Tianyi Zhou [aut], Mu Li [aut], Junyuan Xie [aut], Min Lin [aut], Yifen [...truncated...]
Maintainer: Jiaming Yuan <jm.yuan@outlook.com>

Diff between xgboost versions 1.6.0.1 dated 2022-04-16 and 1.7.3.1 dated 2023-01-14

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Package strex updated to version 1.5.1 with previous version 1.5.0 dated 2023-01-05

Title: Extra String Manipulation Functions
Description: There are some things that I wish were easier with the 'stringr' or 'stringi' packages. The foremost of these is the extraction of numbers from strings. 'stringr' and 'stringi' make you figure out the regular expression for yourself; 'strex' takes care of this for you. There are many other handy functionalities in 'strex'. Contributions to this package are encouraged: it is intended as a miscellany of string manipulation functions that cannot be found in 'stringi' or 'stringr'.
Author: Rory Nolan [aut, cre]
Maintainer: Rory Nolan <rorynoolan@gmail.com>

Diff between strex versions 1.5.0 dated 2023-01-05 and 1.5.1 dated 2023-01-14

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Package RDS updated to version 0.9-5 with previous version 0.9-3 dated 2021-03-29

Title: Respondent-Driven Sampling
Description: Provides functionality for carrying out estimation with data collected using Respondent-Driven Sampling. This includes Heckathorn's RDS-I and RDS-II estimators as well as Gile's Sequential Sampling estimator. The package is part of the "RDS Analyst" suite of packages for the analysis of respondent-driven sampling data. See Gile and Handcock (2010) <doi:10.1111/j.1467-9531.2010.01223.x> and Gile and Handcock (2015) <doi:10.1111/rssa.12091>.
Author: Mark S. Handcock [aut, cre], Krista J. Gile [aut], Ian E. Fellows [aut], W. Whipple Neely [aut]
Maintainer: Mark S. Handcock <handcock@stat.ucla.edu>

Diff between RDS versions 0.9-3 dated 2021-03-29 and 0.9-5 dated 2023-01-14

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Package statsExpressions updated to version 1.4.0 with previous version 1.3.6 dated 2022-12-16

Title: Tidy Dataframes and Expressions with Statistical Details
Description: Utilities for producing dataframes with rich details for the most common types of statistical approaches and tests: parametric, nonparametric, robust, and Bayesian t-test, one-way ANOVA, correlation analyses, contingency table analyses, and meta-analyses. The functions are pipe-friendly and provide a consistent syntax to work with tidy data. These dataframes additionally contain expressions with statistical details, and can be used in graphing packages. This package also forms the statistical processing backend for 'ggstatsplot'. References: Patil (2021) <doi:10.21105/joss.03236>.
Author: Indrajeet Patil [cre, aut, cph]
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>

Diff between statsExpressions versions 1.3.6 dated 2022-12-16 and 1.4.0 dated 2023-01-14

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Package sparsesvd updated to version 0.2-2 with previous version 0.2-1 dated 2022-08-23

Title: Sparse Truncated Singular Value Decomposition (from 'SVDLIBC')
Description: Wrapper around the 'SVDLIBC' library for (truncated) singular value decomposition of a sparse matrix. Currently, only sparse real matrices in Matrix package format are supported.
Author: Doug Rohde [aut], Michael Berry [aut], Theresa Do [aut], Gavin O'Brien [aut], Vijay Krishna [aut], Sowmini Varadhan [aut], University of Tennessee Research Foundation [cph] , Stephanie Evert [cre, aut, cph]
Maintainer: Stephanie Evert <stephanie.evert@fau.de>

Diff between sparsesvd versions 0.2-1 dated 2022-08-23 and 0.2-2 dated 2023-01-14

 DESCRIPTION   |    8 ++++----
 MD5           |   14 +++++++-------
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Package tidyquery updated to version 0.2.4 with previous version 0.2.3 dated 2021-12-02

Title: Query 'R' Data Frames with 'SQL'
Description: Use 'SQL' 'SELECT' statements to query 'R' data frames.
Author: Ian Cook [aut, cre], Cloudera [cph]
Maintainer: Ian Cook <ianmcook@gmail.com>

Diff between tidyquery versions 0.2.3 dated 2021-12-02 and 0.2.4 dated 2023-01-14

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Package RApiDatetime updated to version 0.0.8 with previous version 0.0.7 dated 2022-10-30

Title: R API for 'Date' and 'Datetime'
Description: Access to the C-level R date and 'datetime' code is provided for C-level API use by other packages via registration of native functions. Client packages simply include a single header 'RApiDatetime.h' provided by this package, and also 'import' it. The R Core group is the original author of the code made available with slight modifications by this package.
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RApiDatetime versions 0.0.7 dated 2022-10-30 and 0.0.8 dated 2023-01-14

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Package lwgeom updated to version 0.2-11 with previous version 0.2-10 dated 2022-11-19

Title: Bindings to Selected 'liblwgeom' Functions for Simple Features
Description: Access to selected functions found in 'liblwgeom' <https://github.com/postgis/postgis/tree/master/liblwgeom>, the light-weight geometry library used by 'PostGIS' <http://postgis.net/>.
Author: Edzer Pebesma [aut, cre] , Colin Rundel [ctb], Andy Teucher [ctb], liblwgeom developers [cph]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

Diff between lwgeom versions 0.2-10 dated 2022-11-19 and 0.2-11 dated 2023-01-14

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New package sca with initial version 0.9-1
Package: sca
Title: Simple Component Analysis
Version: 0.9-1
Date: 2023-01-14
Description: Simple Component Analysis (SCA) often provides much more interpretable components than Principal Components (PCA) while still representing much of the variability in the data.
Author: Valentin Rousson <rousson@ifspm.unizh.ch> and Martin Maechler
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>
Imports: grDevices, graphics, stats
Suggests: MASS, Matrix
BuildResaveData: no
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2023-01-13 16:21:40 UTC; maechler
Repository: CRAN
Date/Publication: 2023-01-14 13:20:02 UTC

More information about sca at CRAN
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Package rlibkriging updated to version 0.7-4 with previous version 0.7-3.1 dated 2023-01-12

Title: Kriging Models using the 'libKriging' Library
Description: Interface to 'libKriging' 'C++' library <https://github.com/libKriging> that should provide most standard Kriging / Gaussian process regression features (like in 'DiceKriging', 'kergp' or 'RobustGaSP' packages). 'libKriging' relies on Armadillo linear algebra library (Apache 2 license) by Conrad Sanderson, and 'lbfgsb_cpp' is a 'C++' wrapper by Colin Fang around 'lbfgsb' library (BSD-3 license) by Ciyou Zhu, Richard Byrd, Jorge Nocedal and Jose Luis Morales used for hyperparameters optimization.
Author: Pascal Have [aut], Yann Richet [aut, cre] , Yves Deville [aut], Conrad Sanderson [ctb], Colin Fang [ctb], Ciyou Zhu [ctb], Richard Byrd [ctb], Jorge Nocedal [ctb], Jose Luis Morales [ctb]
Maintainer: Yann Richet <yann.richet@irsn.fr>

Diff between rlibkriging versions 0.7-3.1 dated 2023-01-12 and 0.7-4 dated 2023-01-14

 rlibkriging-0.7-3.1/rlibkriging/tests/test-KrigingCholCrash.R                                                |only
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 rlibkriging-0.7-4/rlibkriging/MD5                                                                            |  133 ++++------
 rlibkriging-0.7-4/rlibkriging/R/RcppExports.R                                                                |    4 
 rlibkriging-0.7-4/rlibkriging/cleanup                                                                        |    4 
 rlibkriging-0.7-4/rlibkriging/cleanup.win                                                                    |    4 
 rlibkriging-0.7-4/rlibkriging/src/RcppExports.cpp                                                            |   11 
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 rlibkriging-0.7-4/rlibkriging/src/libK/cmake/version.cmake                                                   |    2 
 rlibkriging-0.7-4/rlibkriging/src/libK/src/lib/CMakeLists.txt                                                |    4 
 rlibkriging-0.7-4/rlibkriging/src/libK/src/lib/Kriging.cpp                                                   |   24 -
 rlibkriging-0.7-4/rlibkriging/src/libK/src/lib/LinearAlgebra.cpp                                             |    5 
 rlibkriging-0.7-4/rlibkriging/src/libK/src/lib/NoiseKriging.cpp                                              |    8 
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 rlibkriging-0.7-4/rlibkriging/src/libK/tests/CacheFunctionTest.cpp                                           |    4 
 rlibkriging-0.7-4/rlibkriging/src/linalg.cpp                                                                 |    7 
 rlibkriging-0.7-4/rlibkriging/tests/test-KrigingFit.R                                                        |    9 
 rlibkriging-0.7-4/rlibkriging/tests/test-KrigingLeaveOneOut.R                                                |    5 
 rlibkriging-0.7-4/rlibkriging/tests/test-KrigingLeaveOneOut_3d.R                                             |    5 
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Package finalfit updated to version 1.0.6 with previous version 1.0.5 dated 2022-08-09

Title: Quickly Create Elegant Regression Results Tables and Plots when Modelling
Description: Generate regression results tables and plots in final format for publication. Explore models and export directly to PDF and 'Word' using 'RMarkdown'.
Author: Ewen Harrison [aut, cre], Tom Drake [aut], Riinu Ots [aut]
Maintainer: Ewen Harrison <ewen.harrison@ed.ac.uk>

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Package azlogr updated to version 0.0.4 with previous version 0.0.3 dated 2023-01-11

Title: Logging in 'R' and Post to 'Azure Log Analytics' Workspace
Description: It extends the functionality of 'logger' package. Additional logging metadata can be configured to be collected. Logging messages are displayed on console and optionally they are sent to 'Azure Log Analytics' workspace in real-time.
Author: Vivek Atal [aut, cre]
Maintainer: Vivek Atal <atalvivek@yahoo.co.in>

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Package asteRisk updated to version 1.4.3 with previous version 1.4.2 dated 2022-10-19

Title: Computation of Satellite Position
Description: Provides basic functionalities to calculate the position of satellites given a known state vector. The package includes implementations of the SGP4 and SDP4 simplified perturbation models to propagate orbital state vectors, as well as utilities to read TLE files and convert coordinates between different frames of reference. Several of the functionalities of the package (including the high-precision numerical orbit propagator) require the coefficients and data included in the 'asteRiskData' package, available in a 'drat' repository. To install this data package, run 'install.packages("asteRiskData", repos="https://rafael-ayala.github.io/drat/")'. Felix R. Hoots, Ronald L. Roehrich and T.S. Kelso (1988) <https://celestrak.org/NORAD/documentation/spacetrk.pdf>. David Vallado, Paul Crawford, Richard Hujsak and T.S. Kelso (2012) <doi:10.2514/6.2006-6753>. Felix R. Hoots, Paul W. Schumacher Jr. and Robert A. Glover (2014) <doi:10.2514/1.9161>.
Author: Rafael Ayala [aut, cre] , Daniel Ayala [aut] , David Ruiz [aut] , Lara Selles Vidal [aut]
Maintainer: Rafael Ayala <rafael.ayala@oist.jp>

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Package nleqslv updated to version 3.3.4 with previous version 3.3.3 dated 2022-08-07

Title: Solve Systems of Nonlinear Equations
Description: Solve a system of nonlinear equations using a Broyden or a Newton method with a choice of global strategies such as line search and trust region. There are options for using a numerical or user supplied Jacobian, for specifying a banded numerical Jacobian and for allowing a singular or ill-conditioned Jacobian.
Author: Berend Hasselman
Maintainer: Berend Hasselman <bhh@xs4all.nl>

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Package logicDT updated to version 1.0.3 with previous version 1.0.2 dated 2022-04-26

Title: Identifying Interactions Between Binary Predictors
Description: A global statistical learning method which tries to find the best set of predictors and interactions between predictors for modeling binary or quantitative response data. Several search algorithms and ensembling techniques are implemented allowing for finetuning the method to the specific problem. Interactions with single quantitative covariables can be properly taken into account by also splitting after those or by fitting local four parameter logistic models.
Author: Michael Lau [aut, cre]
Maintainer: Michael Lau <michael.lau@hhu.de>

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Package RJSONIO updated to version 1.3-1.7 with previous version 1.3-1.6 dated 2021-09-16

Title: Serialize R Objects to JSON, JavaScript Object Notation
Description: This is a package that allows conversion to and from data in Javascript object notation (JSON) format. This allows R objects to be inserted into Javascript/ECMAScript/ActionScript code and allows R programmers to read and convert JSON content to R objects. This is an alternative to rjson package. Originally, that was too slow for converting large R objects to JSON and was not extensible. rjson's performance is now similar to this package, and perhaps slightly faster in some cases. This package uses methods and is readily extensible by defining methods for different classes, vectorized operations, and C code and callbacks to R functions for deserializing JSON objects to R. The two packages intentionally share the same basic interface. This package (RJSONIO) has many additional options to allow customizing the generation and processing of JSON content. This package uses libjson rather than implementing yet another JSON parser. The aim is to support other general projects by building on [...truncated...]
Author: CRAN Team [ctb, cre] , Duncan Temple Lang [aut] , Jonathan Wallace [aut]
Maintainer: CRAN Team <CRAN@r-project.org>

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Package explore updated to version 1.0.2 with previous version 1.0.1 dated 2022-12-20

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>

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Package splines2 updated to version 0.4.7 with previous version 0.4.6 dated 2022-08-15

Title: Regression Spline Functions and Classes
Description: Constructs basis matrix of B-splines, M-splines, I-splines, convex splines (C-splines), periodic M-splines, natural cubic splines, generalized Bernstein polynomials, and their integrals (except C-splines) and derivatives of given order by close-form recursive formulas. It also contains a C++ head-only library integrated with Rcpp. See Wang and Yan (2021) <doi:10.6339/21-JDS1020> for details.
Author: Wenjie Wang [aut, cre] , Jun Yan [aut]
Maintainer: Wenjie Wang <wang@wwenjie.org>

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Package samplingVarEst updated to version 1.5 with previous version 1.4 dated 2019-07-25

Title: Sampling Variance Estimation
Description: Functions to calculate some point estimators and estimate their variance under unequal probability sampling without replacement. Single and two-stage sampling designs are considered. Some approximations for the second-order inclusion probabilities (joint inclusion probabilities) are available (sample and population based). A variety of Jackknife variance estimators are implemented. Almost every function is written in C (compiled) code for faster results. The functions incorporate some performance improvements for faster results with large datasets.
Author: Emilio Lopez Escobar [aut, cre, cph] <emilio@quantos.mx>, Ernesto Barrios Zamudio [ctb] <ebarrios@itam.mx>, Juan Francisco Munoz Rosas [ctb] <jfmunoz@go.ugr.es>
Maintainer: Emilio Lopez Escobar <emilio@quantos.mx>

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More information about samplingVarEst at CRAN
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Package jpgrid updated to version 0.2.1 with previous version 0.2.0 dated 2022-05-03

Title: Functions for the Grid Square Codes in Japan
Description: Provides functions for grid square codes in Japan (<https://www.stat.go.jp/english/data/mesh/index.html>). Generates the grid square codes from longitude/latitude, geometries, and the grid square codes of different scales, and vice versa.
Author: Mizuki Uchida [aut, cre]
Maintainer: Mizuki Uchida <uchidamizuki@vivaldi.net>

Diff between jpgrid versions 0.2.0 dated 2022-05-03 and 0.2.1 dated 2023-01-14

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More information about jpgrid at CRAN
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Package DIMORA updated to version 0.3.3 with previous version 0.3.2 dated 2023-01-06

Title: Diffusion Models R Analysis
Description: The implemented methods are: Standard Bass model, Generalized Bass model (with rectangular shock, exponential shock, and mixed shock. You can choose to add from 1 to 3 shocks), Guseo-Guidolin model and Variable Potential Market model, and UCRCD model. The Bass model consists of a simple differential equation that describes the process of how new products get adopted in a population, the Generalized Bass model is a generalization of the Bass model in which there is a "carrier" function x(t) that allows to change the speed of time sliding. In some real processes the reachable potential of the resource available in a temporal instant may appear to be not constant over time, because of this we use Variable Potential Market model, in which the Guseo-Guidolin has a particular specification for the market function. The UCRCD model (Unbalanced Competition and Regime Change Diachronic) is a diffusion model used to capture the dynamics of the competitive or collaborative transition.
Author: Zanghi Federico, Savio Andrea, Filippo Ziliotto
Maintainer: Savio Andrea <svandr97@gmail.com>

Diff between DIMORA versions 0.3.2 dated 2023-01-06 and 0.3.3 dated 2023-01-14

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Package ggip updated to version 0.3.1 with previous version 0.3.0 dated 2022-11-09

Title: Data Visualization for IP Addresses and Networks
Description: A 'ggplot2' extension that enables visualization of IP (Internet Protocol) addresses and networks. The address space is mapped onto the Cartesian coordinate system using a space-filling curve. Offers full support for both IPv4 and IPv6 (Internet Protocol versions 4 and 6) address spaces.
Author: David Hall [aut, cre]
Maintainer: David Hall <david.hall.physics@gmail.com>

Diff between ggip versions 0.3.0 dated 2022-11-09 and 0.3.1 dated 2023-01-14

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More information about ggip at CRAN
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