Sun, 15 Jan 2023

Package abmR updated to version 1.0.8 with previous version 1.0.6 dated 2022-08-16

Title: Agent-Based Models in R
Description: Supplies tools for running agent-based models (ABM) in R, as discussed in Gochanour et al. (2021) <doi:10.1101/2021.09.15.460374> The package contains two movement functions, each of which is based on the Ornstein-Uhlenbeck (OU) model (Ornstein & Uhlenbeck, 1930) <doi:10.1103/PhysRev.36.823>. It also contains several visualization and data summarization functions to facilitate the presentation of simulation results.
Author: Benjamin Gochanour [aut, cre], Javier Fernandez-Lopez [aut], Andrea Contina [aut]
Maintainer: Benjamin Gochanour <ben.gochanour@gmail.com>

Diff between abmR versions 1.0.6 dated 2022-08-16 and 1.0.8 dated 2023-01-15

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Package DALEX updated to version 2.4.3 with previous version 2.4.2 dated 2022-06-15

Title: moDel Agnostic Language for Exploration and eXplanation
Description: Any unverified black box model is the path to failure. Opaqueness leads to distrust. Distrust leads to ignoration. Ignoration leads to rejection. DALEX package xrays any model and helps to explore and explain its behaviour. Machine Learning (ML) models are widely used and have various applications in classification or regression. Models created with boosting, bagging, stacking or similar techniques are often used due to their high performance. But such black-box models usually lack direct interpretability. DALEX package contains various methods that help to understand the link between input variables and model output. Implemented methods help to explore the model on the level of a single instance as well as a level of the whole dataset. All model explainers are model agnostic and can be compared across different models. DALEX package is the cornerstone for 'DrWhy.AI' universe of packages for visual model exploration. Find more details in (Biecek 2018) <arXiv:1806.08915>.
Author: Przemyslaw Biecek [aut, cre] , Szymon Maksymiuk [aut] , Hubert Baniecki [aut]
Maintainer: Przemyslaw Biecek <przemyslaw.biecek@gmail.com>

Diff between DALEX versions 2.4.2 dated 2022-06-15 and 2.4.3 dated 2023-01-15

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Package RTriangle updated to version 1.6-0.12 with previous version 1.6-0.11 dated 2022-11-15

Title: Triangle - A 2D Quality Mesh Generator and Delaunay Triangulator
Description: This is a port of Jonathan Shewchuk's Triangle library to R. From his description: "Triangle generates exact Delaunay triangulations, constrained Delaunay triangulations, conforming Delaunay triangulations, Voronoi diagrams, and high-quality triangular meshes. The latter can be generated with no small or large angles, and are thus suitable for finite element analysis."
Author: Jonathan Richard Shewchuk [ctb, cph], David C. Sterratt [cph, aut, cre], Elias Pipping [ctb], Michael Sumner [ctb]
Maintainer: David C. Sterratt <david.c.sterratt@ed.ac.uk>

Diff between RTriangle versions 1.6-0.11 dated 2022-11-15 and 1.6-0.12 dated 2023-01-15

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Package RcppArmadillo updated to version 0.11.4.3.1 with previous version 0.11.4.2.1 dated 2022-11-09

Title: 'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra Library
Description: 'Armadillo' is a templated C++ linear algebra library (by Conrad Sanderson) that aims towards a good balance between speed and ease of use. Integer, floating point and complex numbers are supported, as well as a subset of trigonometric and statistics functions. Various matrix decompositions are provided through optional integration with LAPACK and ATLAS libraries. The 'RcppArmadillo' package includes the header files from the templated 'Armadillo' library. Thus users do not need to install 'Armadillo' itself in order to use 'RcppArmadillo'. From release 7.800.0 on, 'Armadillo' is licensed under Apache License 2; previous releases were under licensed as MPL 2.0 from version 3.800.0 onwards and LGPL-3 prior to that; 'RcppArmadillo' (the 'Rcpp' bindings/bridge to Armadillo) is licensed under the GNU GPL version 2 or later, as is the rest of 'Rcpp'.
Author: Dirk Eddelbuettel, Romain Francois, Doug Bates, Binxiang Ni, and Conrad Sanderson
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppArmadillo versions 0.11.4.2.1 dated 2022-11-09 and 0.11.4.3.1 dated 2023-01-15

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Package mnorm updated to version 1.1.0 with previous version 1.0.1 dated 2022-05-16

Title: Multivariate Normal Distribution
Description: Calculates and differentiates probabilities and density of (conditional) multivariate normal distribution and Gaussian copula (with various marginal distributions) using methods described in A. Genz (2004) <doi:10.1023/B:STCO.0000035304.20635.31>, A. Genz, F. Bretz (2009) <doi:10.1007/978-3-642-01689-9> and E. Kossova, B. Potanin (2018) <https:ideas.repec.org/a/ris/apltrx/0346.html>.
Author: Bogdan Potanin [aut, cre, ctb]
Maintainer: Bogdan Potanin <bogdanpotanin@gmail.com>

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New package ILS with initial version 0.3
Package: ILS
Title: Interlaboratory Study
Version: 0.3
Date: 2023-01-14
Depends: R (>= 3.1.0), lattice, multcomp, depthTools, fda.usc, MASS, stats
Description: It performs interlaboratory studies (ILS) to detect those laboratories that provide non-consistent results when comparing to others. It permits to work simultaneously with various testing materials, from standard univariate, and functional data analysis (FDA) perspectives. The univariate approach based on ASTM E691-08 consist of estimating the Mandel's h and k statistics to identify those laboratories that provide more significant different results, testing also the presence of outliers by Cochran and Grubbs tests, Analysis of variance (ANOVA) techniques are provided (F and Tuckey tests) to test differences in means corresponding to different laboratories per each material. Taking into account the functional nature of data retrieved in analytical chemistry, applied physics and engineering (spectra, thermograms, etc.). ILS package provides a FDA approach for finding the Mandel's k and h statistics distribution by smoothing bootstrap resampling.
License: GPL (>= 2)
LazyData: yes
Author: Miguel Flores [aut, cre], Ruben Fernandez [aut], Salvador Naya [aut], Javier Tarrio-Saavedra [aut]
Maintainer: Miguel Flores <ma.flores@outlook.com>
Repository: CRAN
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-01-15 19:48:16 UTC; UsuarioEPN
Date/Publication: 2023-01-15 22:20:02 UTC
URL: https://github.com/mflores72000/ILS/
BugReports: https://github.com/mflores72000/ILS/issues
Suggests: knitr, rmarkdown

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Package svd updated to version 0.5.3 with previous version 0.5.2 dated 2022-07-10

Title: Interfaces to Various State-of-Art SVD and Eigensolvers
Description: R bindings to SVD and eigensolvers (PROPACK, nuTRLan).
Author: Anton Korobeynikov [aut, cre], Rasmus Munk Larsen [ctb, cph], Lawrence Berkeley National Laboratory [ctb, cph]
Maintainer: Anton Korobeynikov <anton@korobeynikov.info>

Diff between svd versions 0.5.2 dated 2022-07-10 and 0.5.3 dated 2023-01-15

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Package pak updated to version 0.4.0 with previous version 0.3.1 dated 2022-09-08

Title: Another Approach to Package Installation
Description: The goal of 'pak' is to make package installation faster and more reliable. In particular, it performs all HTTP operations in parallel, so metadata resolution and package downloads are fast. Metadata and package files are cached on the local disk as well. 'pak' has a dependency solver, so it finds version conflicts before performing the installation. This version of 'pak' supports CRAN, 'Bioconductor' and 'GitHub' packages as well.
Author: Gabor Csardi [aut, cre], Jim Hester [aut], RStudio [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

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Package dataverse updated to version 0.3.12 with previous version 0.3.11 dated 2022-06-11

Title: Client for Dataverse 4+ Repositories
Description: Provides access to Dataverse APIs <https://dataverse.org/> (versions 4-5), enabling data search, retrieval, and deposit. For Dataverse versions <= 3.0, use the archived 'dvn' package <https://cran.r-project.org/package=dvn>.
Author: Shiro Kuriwaki [aut, cre] , Will Beasley [aut] , Thomas J. Leeper [aut] , Philip Durbin [aut] , Sebastian Karcher [aut] , Jan Kanis [ctb], Edward Jee [ctb]
Maintainer: Shiro Kuriwaki <shirokuriwaki@gmail.com>

Diff between dataverse versions 0.3.11 dated 2022-06-11 and 0.3.12 dated 2023-01-15

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Package edeaR updated to version 0.9.2 with previous version 0.9.1 dated 2022-10-03

Title: Exploratory and Descriptive Event-Based Data Analysis
Description: Exploratory and descriptive analysis of event based data. Provides methods for describing and selecting process data, and for preparing event log data for process mining. Builds on the S3-class for event logs implemented in the package 'bupaR'.
Author: Gert Janssenswillen [aut, cre], Gerard van Hulzen [ctb], Marijke Swennen [ctb], Ivan Esin [ctb], Hasselt University [cph]
Maintainer: Gert Janssenswillen <gert.janssenswillen@uhasselt.be>

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Package TestGardener updated to version 3.1.4 with previous version 3.1.1 dated 2022-12-19

Title: Optimal Analysis of Test and Rating Scale Data
Description: Develop, evaluate, and score multiple choice examinations, psychological scales, questionnaires, and similar types of data involving sequences of choices among one or more sets of answers. This version of the package should be considered as brand new. Almost all of the functions have been changed, including their argument list. See the file NEWS.Rd in the Inst folder for more information. Using the package does not require any formal statistical knowledge beyond what would be provided by a first course in statistics in a social science department. There the user would encounter the concept of probability and how it is used to model data and make decisions, and would become familiar with basic mathematical and statistical notation. Most of the output is in graphical form.
Author: James Ramsay [aut, cre], Juan Li [ctb], Marie Wiberg [ctb], Joakim Wallmark [ctb], Spencer Graves [ctb]
Maintainer: James Ramsay <james.ramsay@mcgill.ca>

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Package TDApplied updated to version 2.0.3 with previous version 2.0.2 dated 2023-01-12

Title: Machine Learning and Inference for Topological Data Analysis
Description: Topological data analysis is a powerful tool for finding non-linear global structure in whole datasets. 'TDApplied' aims to bridge topological data analysis with data, statistical and machine learning practitioners so that more analyses may benefit from the power of topological data analysis. The main tool of topological data analysis is persistent homology, which computes a shape descriptor of a dataset, called a persistence diagram. There are five goals of this package: (1) deliver a fast implementation of persistent homology via a python interface, (2) convert persistence diagrams computed using the two main R packages for topological data analysis into a data frame, (3) implement fast versions of both distance and kernel calculations for pairs of persistence diagrams, (4) contribute tools for the interpretation of persistence diagrams, and (5) provide parallelized methods for machine learning and inference for persistence diagrams.
Author: Shael Brown [aut, cre], Dr. Reza Farivar [aut, fnd]
Maintainer: Shael Brown <shaelebrown@gmail.com>

Diff between TDApplied versions 2.0.2 dated 2023-01-12 and 2.0.3 dated 2023-01-15

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Package rswipl updated to version 9.1.3 with previous version 9.1.2 dated 2022-12-20

Title: Embed 'SWI'-'Prolog'
Description: Interface to 'SWI'-'Prolog', <https://www.swi-prolog.org/>. This package is normally not loaded directly, please refer to package 'rolog' instead. The purpose of this package is to provide the 'Prolog' runtime on systems that do not have a software installation of 'SWI'-'Prolog'.
Author: Matthias Gondan [aut, com, cre] , Jan Wielemaker [ctb, cph]
Maintainer: Matthias Gondan <Matthias.Gondan-Rochon@uibk.ac.at>

Diff between rswipl versions 9.1.2 dated 2022-12-20 and 9.1.3 dated 2023-01-15

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Package mixopt updated to version 0.1.2 with previous version 0.1.1 dated 2022-11-19

Title: Mixed Variable Optimization
Description: Mixed variable optimization for non-linear functions. Can optimize function whose inputs are a combination of continuous, ordered, and unordered variables.
Author: Collin Erickson
Maintainer: Collin Erickson <collinberickson@gmail.com>

Diff between mixopt versions 0.1.1 dated 2022-11-19 and 0.1.2 dated 2023-01-15

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Package gdtools updated to version 0.3.0 with previous version 0.2.4 dated 2022-02-14

Title: Utilities for Graphical Rendering and Fonts Management
Description: Tools are provided to compute metrics of formatted strings and to check the availability of a font. Another set of functions is provided to support the collection of fonts from 'Google Fonts' in a cache. Their use is simple within 'R Markdown' documents and 'shiny' applications but also with graphic productions generated with the 'ggiraph', 'ragg' and 'svglite' packages or with tabular productions from the 'flextable' package.
Author: David Gohel [aut, cre], Hadley Wickham [aut], Lionel Henry [aut], Jeroen Ooms [aut] , Yixuan Qiu [ctb], R Core Team [cph] , ArData [cph], RStudio [cph]
Maintainer: David Gohel <david.gohel@ardata.fr>

Diff between gdtools versions 0.2.4 dated 2022-02-14 and 0.3.0 dated 2023-01-15

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Permanent link

New package repoRter.nih with initial version 0.1.4
Package: repoRter.nih
Title: R Interface to the 'NIH RePORTER Project' API
Version: 0.1.4
Description: Methods to easily build requests in the non-standard JSON schema required by the National Institute of Health (NIH)'s 'RePORTER Project API' <https://api.reporter.nih.gov/#/Search/post_v2_projects_search>. Also retrieve and process result sets as either a ragged or flattened 'tibble'.
License: MIT + file LICENSE
URL: https://github.com/bikeactuary/repoRter.nih
BugReports: https://github.com/bikeactuary/repoRter.nih/issues
Depends: R (>= 4.0.0)
Imports: assertthat (>= 0.2.1), crayon (>= 1.4.1), dplyr (>= 1.0.7), httr (>= 1.4.2), janitor (>= 2.1.0), jsonlite (>= 1.7.2), lubridate (>= 1.7.10), magrittr (>= 2.0.1), purrr (>= 0.3.4), tibble (>= 3.1.3)
Suggests: devtools, ggplot2, ggrepel, knitr, tinytex, rmarkdown, scales, tufte, spelling
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2023-01-14 02:23:49 UTC; mbarr
Author: Michael Barr, ACAS, MAAA, CPCU [cre, aut]
Maintainer: "Michael Barr, ACAS, MAAA, CPCU" <mike@bikeactuary.com>
Repository: CRAN
Date/Publication: 2023-01-15 17:10:02 UTC

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Permanent link

New package IGP with initial version 0.2.1
Package: IGP
Title: Interchangeable Gaussian Process Models
Version: 0.2.1
Description: Creates a Gaussian process model using the specified package. Makes it easy to try different packages in same code, only the package argument needs to be changed. It is essentially a wrapper for the other Gaussian process software packages. For more info about Gaussian process software and comparison of various options, see Erickson et al. (2018) <doi:10.1016/j.ejor.2017.10.002>.
License: GPL-3
Imports: R6, reticulate
Suggests: GPfit, laGP, mlegp, tgp, DiceKriging, CGP, GauPro, hetGP, testthat, lhs, ggplot2, reshape, ContourFunctions, numDeriv
URL: https://github.com/CollinErickson/IGP
BugReports: https://github.com/CollinErickson/IGP/issues
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-01-15 14:09:42 UTC; colli
Author: Collin Erickson [aut, cre]
Maintainer: Collin Erickson <collinberickson@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-15 17:10:05 UTC

More information about IGP at CRAN
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Package wflo updated to version 1.8 with previous version 1.7 dated 2022-09-25

Title: Data Set and Helper Functions for Wind Farm Layout Optimization Problems
Description: Provides a convenient data set, a set of helper functions, and a benchmark function for economically (profit) driven wind farm layout optimization. This enables researchers in the field of the NP-hard (non-deterministic polynomial-time hard) problem of wind farm layout optimization to focus on their optimization methodology contribution and also provides a realistic benchmark setting for comparability among contributions. See Croonenbroeck, Carsten & Hennecke, David (2020) <doi:10.1016/j.energy.2020.119244>.
Author: Carsten Croonenbroeck [aut, cre], David Hennecke [ctb]
Maintainer: Carsten Croonenbroeck <carsten.croonenbroeck@uni-rostock.de>

Diff between wflo versions 1.7 dated 2022-09-25 and 1.8 dated 2023-01-15

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More information about wflo at CRAN
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Package siconfir updated to version 2.0.3 with previous version 1.0.5 dated 2021-04-20

Title: Quick and Easy Access Tax and Accounting Data of Brazil
Description: Access tax and accounting data of Brazilian states and municipalities provided by the Brazilian Public Sector Accounting and Tax Information System.
Author: Pedro Castro [aut, cre]
Maintainer: Pedro Castro <pdesacastro@gmail.com>

Diff between siconfir versions 1.0.5 dated 2021-04-20 and 2.0.3 dated 2023-01-15

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Package Rbeast updated to version 0.9.6 with previous version 0.9.5 dated 2022-08-09

Title: Bayesian Change-Point Detection and Time Series Decomposition
Description: Interpretation of time series data is affected by model choices. Different models can give different or even contradicting estimates of patterns, trends, and mechanisms for the same data--a limitation alleviated by the Bayesian estimator of abrupt change,seasonality, and trend (BEAST) of this package. BEAST seeks to improve time series decomposition by forgoing the "single-best-model" concept and embracing all competing models into the inference via a Bayesian model averaging scheme. It is a flexible tool to uncover abrupt changes (i.e., change-points), cyclic variations (e.g., seasonality), and nonlinear trends in time-series observations. BEAST not just tells when changes occur but also quantifies how likely the detected changes are true. It detects not just piecewise linear trends but also arbitrary nonlinear trends. BEAST is applicable to real-valued time series data of all kinds, be it for remote sensing, economics, climate sciences, ecology, and hydrology. Example applications in [...truncated...]
Author: Yang Li [aut], Tongxi Hu [aut], Xuesong Zhang [aut], Kaiguang Zhao [aut, cre], Jack Dongarra [ctb], Cleve Moler [ctb]
Maintainer: Kaiguang Zhao <zhao.1423@osu.edu>

Diff between Rbeast versions 0.9.5 dated 2022-08-09 and 0.9.6 dated 2023-01-15

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Package greeks updated to version 0.8.1 with previous version 0.8.0 dated 2023-01-13

Title: Sensitivities of Prices of Financial Options and Implied Volatilites
Description: Methods to calculate sensitivities of financial option prices for European, Asian, American and Digital Options options in the Black Scholes model, and in more general jump diffusion models. A shiny app to interactively view plot the results is included. Furthermore, methods to compute implied volatilities are provided for a wide range of option types and custom payoff functions. Classical formulas are implemented for European options in the Black Scholes Model, as is presented in Hull, J. C. (2017). Options, Futures, and Other Derivatives, Global Edition (9th Edition). Pearson. In the case of Asian options, Malliavin Monte Carlo Greeks are implemented, see Hudde, A. & Rüschendorf, L. (2016). European and Asian Greeks for exponential Lévy processes. <arXiv:1603.00920>. For American options, the Binomial Tree Method is implemented, as is presented in Hull, J. C. (2017).
Author: Anselm Hudde [aut, cre]
Maintainer: Anselm Hudde <anselmhudde@gmx.de>

Diff between greeks versions 0.8.0 dated 2023-01-13 and 0.8.1 dated 2023-01-15

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Package datagovsgR updated to version 1.0.0 with previous version 0.3.3 dated 2022-12-22

Title: Call Real Time APIs from Data Gov Singapore
Description: A wrapper for the Data.gov.sg developer resources, which provide real time and historical information, ranging from carpark availability to weather forecasts. The functions makes the API calls for a given date and time, before returning the relevant information in a data frame. All APIs are supported, less the IPOS one which is not returning any data. Relevant information can be found here <https://data.gov.sg/developer>.
Author: Clinton Wong <cwxy.clinton@gmail.com>
Maintainer: Clinton Wong <cwxy.clinton@gmail.com>

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Package SKAT updated to version 2.2.5 with previous version 2.2.4 dated 2022-03-29

Title: SNP-Set (Sequence) Kernel Association Test
Description: Functions for kernel-regression-based association tests including Burden test, SKAT and SKAT-O. These methods aggregate individual SNP score statistics in a SNP set and efficiently compute SNP-set level p-values.
Author: Seunggeun Lee and Zhangchen Zhao, with contributions from Larisa Miropolsky and Michael Wu
Maintainer: Seunggeun (Shawn) Lee <lee7801@snu.ac.kr>

Diff between SKAT versions 2.2.4 dated 2022-03-29 and 2.2.5 dated 2023-01-15

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Package ggspectra updated to version 0.3.10 with previous version 0.3.9 dated 2022-10-16

Title: Extensions to 'ggplot2' for Radiation Spectra
Description: Additional annotations, stats, geoms and scales for plotting "light" spectra with 'ggplot2', together with specializations of ggplot() and autoplot() methods for spectral data and waveband definitions stored in objects of classes defined in package 'photobiology'. Part of the 'r4photobiology' suite, Aphalo P. J. (2015) <doi:10.19232/uv4pb.2015.1.14>.
Author: Pedro J. Aphalo [aut, cre] , Titta K. Kotilainen [ctb]
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>

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Package collapse updated to version 1.9.0 with previous version 1.8.9 dated 2022-10-07

Title: Advanced and Fast Data Transformation
Description: A C/C++ based package for advanced data transformation and statistical computing in R that is extremely fast, class-agnostic, and programmer friendly through a flexible, parsimonious, and robust API. Core functionality includes a rich set of S3 generic grouped and weighted statistical functions for vectors, matrices and data frames, which provide efficient low-level vectorizations and OpenMP multithreading (reducing the need for iteration/vectorization in R), and skip missing values by default. These are integrated with fast grouping and ordering algorithms (also callable from C), and efficient data manipulation functions. The package also provides a flexible and rigorous approach to time series and panel data in R. It further includes fast functions for common statistical procedures, detailed (grouped, weighted) summary statistics, powerful tools to work with nested data, fast data object conversions, functions for memory efficient R programming, and helpers to effectively deal with v [...truncated...]
Author: Sebastian Krantz [aut, cre], Matt Dowle [ctb], Arun Srinivasan [ctb], Morgan Jacob [ctb], Dirk Eddelbuettel [ctb], Laurent Berge [ctb], Kevin Tappe [ctb], R Core Team and contributors worldwide [ctb], Martyn Plummer [cph], 1999-2016 The R Core Team [ [...truncated...]
Maintainer: Sebastian Krantz <sebastian.krantz@graduateinstitute.ch>

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Package rms updated to version 6.4-0 with previous version 6.3-0 dated 2022-04-22

Title: Regression Modeling Strategies
Description: Regression modeling, testing, estimation, validation, graphics, prediction, and typesetting by storing enhanced model design attributes in the fit. 'rms' is a collection of functions that assist with and streamline modeling. It also contains functions for binary and ordinal logistic regression models, ordinal models for continuous Y with a variety of distribution families, and the Buckley-James multiple regression model for right-censored responses, and implements penalized maximum likelihood estimation for logistic and ordinary linear models. 'rms' works with almost any regression model, but it was especially written to work with binary or ordinal regression models, Cox regression, accelerated failure time models, ordinary linear models, the Buckley-James model, generalized least squares for serially or spatially correlated observations, generalized linear models, and quantile regression.
Author: Frank E Harrell Jr <fh@fharrell.com>
Maintainer: Frank E Harrell Jr <fh@fharrell.com>

Diff between rms versions 6.3-0 dated 2022-04-22 and 6.4-0 dated 2023-01-15

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Package r2resize updated to version 1.4 with previous version 1.3 dated 2022-10-23

Title: In-Text Expandable and Resizable Containers, Images and Data Tables in 'Shiny', 'Markdown' and 'Quarto' Documents
Description: Automatic resizing toolbar for containers, images and tables. Most suitable to include resize functionality in 'Markdown', 'Rmarkdown' and 'Quarto' documents.
Author: Obinna Obianom
Maintainer: Obinna Obianom <idonshayo@gmail.com>

Diff between r2resize versions 1.3 dated 2022-10-23 and 1.4 dated 2023-01-15

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Package labNorm updated to version 1.0.1 with previous version 1.0.0 dated 2023-01-12

Title: Normalize Laboratory Measurements by Age and Sex
Description: Provides functions for normalizing standard laboratory measurements (e.g. hemoglobin, cholesterol levels) according to age and sex, based on the algorithms described in "Personalized lab test models to quantify disease potentials in healthy individuals" (Netta Mendelson Cohen, Omer Schwartzman, Ram Jaschek, Aviezer Lifshitz, Michael Hoichman, Ran Balicer, Liran I. Shlush, Gabi Barbash & Amos Tanay, <doi:10.1038/s41591-021-01468-6>). Allows users to easily obtain normalized values for standard lab results, and to visualize their distributions. See more at <https://tanaylab.weizmann.ac.il/labs/>.
Author: Aviezer Lifshitz [aut, cre], Netta Mendelson-Cohen [aut], Weizmann Institute of Science [cph]
Maintainer: Aviezer Lifshitz <aviezer.lifshitz@weizmann.ac.il>

Diff between labNorm versions 1.0.0 dated 2023-01-12 and 1.0.1 dated 2023-01-15

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Package itsdm updated to version 0.2.0 with previous version 0.1.3 dated 2022-09-11

Title: Isolation Forest-Based Presence-Only Species Distribution Modeling
Description: Collection of R functions to do purely presence-only species distribution modeling with isolation forest (iForest) and its variations such as Extended isolation forest and SCiForest. See the details of these methods in references: Liu, F.T., Ting, K.M. and Zhou, Z.H. (2008) <doi:10.1109/ICDM.2008.17>, Hariri, S., Kind, M.C. and Brunner, R.J. (2019) <doi:10.1109/TKDE.2019.2947676>, Liu, F.T., Ting, K.M. and Zhou, Z.H. (2010) <doi:10.1007/978-3-642-15883-4_18>, Guha, S., Mishra, N., Roy, G. and Schrijvers, O. (2016) <https://proceedings.mlr.press/v48/guha16.html>, Cortes, D. (2021) <arXiv:2110.13402>. Additionally, Shapley values are used to explain model inputs and outputs. See details in references: Shapley, L.S. (1953) <doi:10.1515/9781400881970-018>, Lundberg, S.M. and Lee, S.I. (2017) <https://dl.acm.org/doi/abs/10.5555/3295222.3295230>, Molnar, C. (2020) <ISBN:978-0-244-76852-2>, Štrumbelj, E. and Kononenko, I. (2014) <doi:10.1007 [...truncated...]
Author: Lei Song [aut, cre] , Lyndon Estes [ths]
Maintainer: Lei Song <lsong@clarku.edu>

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Package styler updated to version 1.9.0 with previous version 1.8.1 dated 2022-11-07

Title: Non-Invasive Pretty Printing of R Code
Description: Pretty-prints R code without changing the user's formatting intent.
Author: Kirill Mueller [aut] , Lorenz Walthert [cre, aut], Indrajeet Patil [ctb]
Maintainer: Lorenz Walthert <lorenz.walthert@icloud.com>

Diff between styler versions 1.8.1 dated 2022-11-07 and 1.9.0 dated 2023-01-15

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 styler-1.9.0/styler/NAMESPACE                                                                     |   10 
 styler-1.9.0/styler/NEWS.md                                                                       |   65 ++
 styler-1.9.0/styler/R/addins.R                                                                    |   11 
 styler-1.9.0/styler/R/communicate.R                                                               |    7 
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 styler-1.9.0/styler/R/expr-is.R                                                                   |    2 
 styler-1.9.0/styler/R/indent.R                                                                    |   15 
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 styler-1.9.0/styler/R/unindent.R                                                                  |    6 
 styler-1.9.0/styler/R/utils-cache.R                                                               |    2 
 styler-1.9.0/styler/R/utils-navigate-nest.R                                                       |   22 
 styler-1.9.0/styler/R/utils.R                                                                     |   10 
 styler-1.9.0/styler/R/vertical.R                                                                  |    1 
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Package ingredients updated to version 2.3.0 with previous version 2.2.0 dated 2021-04-10

Title: Effects and Importances of Model Ingredients
Description: Collection of tools for assessment of feature importance and feature effects. Key functions are: feature_importance() for assessment of global level feature importance, ceteris_paribus() for calculation of the what-if plots, partial_dependence() for partial dependence plots, conditional_dependence() for conditional dependence plots, accumulated_dependence() for accumulated local effects plots, aggregate_profiles() and cluster_profiles() for aggregation of ceteris paribus profiles, generic print() and plot() for better usability of selected explainers, generic plotD3() for interactive, D3 based explanations, and generic describe() for explanations in natural language. The package 'ingredients' is a part of the 'DrWhy.AI' universe (Biecek 2018) <arXiv:1806.08915>.
Author: Przemyslaw Biecek [aut, cre] , Hubert Baniecki [aut] , Adam Izdebski [ctb]
Maintainer: Przemyslaw Biecek <przemyslaw.biecek@gmail.com>

Diff between ingredients versions 2.2.0 dated 2021-04-10 and 2.3.0 dated 2023-01-15

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Permanent link

Package fitODBOD updated to version 1.5.0 with previous version 1.4.1-1 dated 2020-01-16

Title: Modeling Over Dispersed Binomial Outcome Data Using BMD and ABD
Description: Contains Probability Mass Functions, Cumulative Mass Functions, Negative Log Likelihood value, parameter estimation and modeling data using Binomial Mixture Distributions (BMD) (Manoj et al (2013) <doi:10.5539/ijsp.v2n2p24>) and Alternate Binomial Distributions (ABD) (Paul (1985) <doi:10.1080/03610928508828990>), also Journal article to use the package(<doi:10.21105/joss.01505>).
Author: Amalan Mahendran [aut, cre] , Pushpakanthie Wijekoon [aut, ctb]
Maintainer: Amalan Mahendran <amalan0595@gmail.com>

Diff between fitODBOD versions 1.4.1-1 dated 2020-01-16 and 1.5.0 dated 2023-01-15

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 107 files changed, 798 insertions(+), 1118 deletions(-)

More information about fitODBOD at CRAN
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Package C443 updated to version 3.3.1 with previous version 3.3 dated 2022-11-20

Title: See a Forest for the Trees
Description: Get insight into a forest of classification trees, by calculating similarities between the trees, and subsequently clustering them. Each cluster is represented by it's most central cluster member. The package implements the methodology described in Sies & Van Mechelen (2020) <doi:10.1007/s00357-019-09350-4>.
Author: Aniek Sies [aut, cre], Kristof Meers [ctb], Iven Van Mechelen [ths]
Maintainer: Aniek Sies <aniek.sies@kuleuven.be>

Diff between C443 versions 3.3 dated 2022-11-20 and 3.3.1 dated 2023-01-15

 DESCRIPTION                           |   12 +--
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Package epiR updated to version 2.0.56 with previous version 2.0.54 dated 2022-12-12

Title: Tools for the Analysis of Epidemiological Data
Description: Tools for the analysis of epidemiological and surveillance data. Contains functions for directly and indirectly adjusting measures of disease frequency, quantifying measures of association on the basis of single or multiple strata of count data presented in a contingency table, computation of confidence intervals around incidence risk and incidence rate estimates and sample size calculations for cross-sectional, case-control and cohort studies. Surveillance tools include functions to calculate an appropriate sample size for 1- and 2-stage representative freedom surveys, functions to estimate surveillance system sensitivity and functions to support scenario tree modelling analyses.
Author: Mark Stevenson <mark.stevenson1@unimelb.edu.au> and Evan Sergeant <evansergeant@gmail.com> with contributions from Telmo Nunes, Cord Heuer, Jonathon Marshall, Javier Sanchez, Ron Thornton, Jeno Reiczigel, Jim Robison-Cox, Paola Sebastiani, Peter Soly [...truncated...]
Maintainer: Mark Stevenson <mark.stevenson1@unimelb.edu.au>

Diff between epiR versions 2.0.54 dated 2022-12-12 and 2.0.56 dated 2023-01-15

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 35 files changed, 2562 insertions(+), 1699 deletions(-)

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Package lmridge updated to version 1.2.2 with previous version 1.2.1 dated 2021-11-11

Title: Linear Ridge Regression with Ridge Penalty and Ridge Statistics
Description: Linear ridge regression coefficient's estimation and testing with different ridge related measures such as MSE, R-squared etc. REFERENCES i. Hoerl and Kennard (1970) <doi:10.1080/00401706.1970.10488634>, ii. Halawa and El-Bassiouni (2000) <doi:10.1080/00949650008812006>, iii. Imdadullah, Aslam, and Saima (2017), iv. Marquardt (1970) <doi:10.2307/1267205>.
Author: Imdad Ullah Muhammad [aut, cre] , Aslam Muhammad [aut, ctb]
Maintainer: Imdad Ullah Muhammad <mimdadasad@gmail.com>

Diff between lmridge versions 1.2.1 dated 2021-11-11 and 1.2.2 dated 2023-01-15

 DESCRIPTION        |    6 +++---
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