Fri, 11 Oct 2024

Package WeightSVM updated to version 1.7-16 with previous version 1.7-13 dated 2023-12-03

Title: Subject Weighted Support Vector Machines
Description: Functions for subject/instance weighted support vector machines (SVM). It uses a modified version of 'libsvm' and is compatible with package 'e1071'. It also allows user defined kernel matrix.
Author: Tianchen Xu [aut, cre] , Chih-Chung Chang [ctb, cph] , Chih-Chen Lin [ctb, cph] , Ming-Wei Chang [ctb, cph] , Hsuan-Tien Lin [ctb, cph] , Ming-Hen Tsai [ctb, cph] , Chia-Hua Ho [ctb, cph] , Hsiang-Fu Yu [ctb, cph] , David Meyer [ctb], Evgenia Dimitri [...truncated...]
Maintainer: Tianchen Xu <tx2155@columbia.edu>

Diff between WeightSVM versions 1.7-13 dated 2023-12-03 and 1.7-16 dated 2024-10-11

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Package pedigreeTools updated to version 0.3 with previous version 0.2 dated 2023-08-15

Title: Versatile Functions for Working with Pedigrees
Description: Tools to sort, edit and prune pedigrees and to extract the inbreeding coefficients and the relationship matrix (includes code for pedigrees from self-pollinated species). The use of pedigree data is central to genetics research within the animal and plant breeding communities to predict breeding values. The relationship matrix between the individuals can be derived from pedigree structure ('Vazquez et al., 2010') <doi:10.2527/jas.2009-1952>.
Author: Ana Ines Vazquez [aut], Douglas Bates [aut], Siddharth Avadhanam [aut], Paulino Perez Rodriguez [aut, cre], Gregor Gorjanc [ctb]
Maintainer: Paulino Perez Rodriguez <perpdgo@colpos.mx>

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Package spork updated to version 0.3.5 with previous version 0.3.3 dated 2024-03-29

Title: Generalized Label Formatting
Description: The 'spork' syntax describes label formatting concisely, supporting mixed nesting of subscripts and superscripts to arbitrary depth. It intends to be easy to read and write in plain text, and easy to convert to equivalent presentations in 'plotmath', 'latex', and 'html'. Greek symbols and a multiplication symbol are explicitly supported. See ?as_spork and ?as_previews.
Author: Tim Bergsma [aut, cre]
Maintainer: Tim Bergsma <bergsmat@gmail.com>

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Package tsgarch updated to version 1.0.3 with previous version 1.0.2 dated 2024-05-08

Title: Univariate GARCH Models
Description: Multiple flavors of the Generalized Autoregressive Conditional Heteroskedasticity (GARCH) model with a large choice of conditional distributions. Methods for specification, estimation, prediction, filtering, simulation, statistical testing and more. Represents a partial re-write and re-think of 'rugarch', making use of automatic differentiation for estimation.
Author: Alexios Galanos [aut, cre, cph]
Maintainer: Alexios Galanos <alexios@4dscape.com>

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Package gtfsio updated to version 1.2.0 with previous version 1.1.1 dated 2023-10-20

Title: Read and Write General Transit Feed Specification (GTFS) Files
Description: Tools for the development of packages related to General Transit Feed Specification (GTFS) files. Establishes a standard for representing GTFS feeds using R data types. Provides fast and flexible functions to read and write GTFS feeds while sticking to this standard. Defines a basic 'gtfs' class which is meant to be extended by packages that depend on it. And offers utility functions that support checking the structure of GTFS objects.
Author: Daniel Herszenhut [aut, cre] , Flavio Poletti [aut], Mark Padgham [aut], Rafael H. M. Pereira [rev] , Tom Buckley [rev], Ipea - Institute for Applied Economic Research [cph, fnd]
Maintainer: Daniel Herszenhut <dhersz@gmail.com>

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Package healthyR.ts updated to version 0.3.1 with previous version 0.3.0 dated 2023-11-15

Title: The Time Series Modeling Companion to 'healthyR'
Description: Hospital time series data analysis workflow tools, modeling, and automations. This library provides many useful tools to review common administrative time series hospital data. Some of these include average length of stay, and readmission rates. The aim is to provide a simple and consistent verb framework that takes the guesswork out of everything.
Author: Steven Sanderson [aut, cre, cph]
Maintainer: Steven Sanderson <spsanderson@gmail.com>

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Package tfrmtbuilder updated to version 0.1.0 with previous version 0.0.6 dated 2024-03-30

Title: 'shiny' App Companion to the 'tfrmt' Package
Description: Provides an interactive interface to the 'tfrmt' package. Users can import, modify, and export tables and templates with little to no code.
Author: Becca Krouse [aut, cre], Christina Fillmore [aut] , Karima Ahmad [aut] , Ellis Hughes [aut] , GlaxoSmithKline Research & Development Limited [cph, fnd]
Maintainer: Becca Krouse <becca.z.krouse@gsk.com>

Diff between tfrmtbuilder versions 0.0.6 dated 2024-03-30 and 0.1.0 dated 2024-10-11

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Package nuggets updated to version 1.2.0 with previous version 1.1.0 dated 2024-10-08

Title: Extensible Data Pattern Searching Framework
Description: Extensible framework for subgroup discovery (Atzmueller (2015) <doi:10.1002/widm.1144>), contrast patterns (Chen (2022) <doi:10.48550/arXiv.2209.13556>), emerging patterns (Dong (1999) <doi:10.1145/312129.312191>) and association rules (Agrawal (1994) <https://www.vldb.org/conf/1994/P487.PDF>). Both crisp (binary) and fuzzy data are supported. It generates conditions in the form of elementary conjunctions, evaluates them on a dataset and checks the induced sub-data for interesting statistical properties. Currently, the package searches for implicative association rules and conditional correlations (Hájek (1978) <doi:10.1007/978-3-642-66943-9>). A user-defined function may be defined to evaluate on each generated condition to search for custom patterns.
Author: Michal Burda [aut, cre]
Maintainer: Michal Burda <michal.burda@osu.cz>

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Package gss updated to version 2.2-8 with previous version 2.2-7 dated 2023-08-16

Title: General Smoothing Splines
Description: A comprehensive package for structural multivariate function estimation using smoothing splines.
Author: Chong Gu [aut, cre]
Maintainer: Chong Gu <chong@purdue.edu>

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Package groc updated to version 1.0.10 with previous version 1.0.9 dated 2024-02-24

Title: Generalized Regression on Orthogonal Components
Description: Robust multiple or multivariate linear regression, nonparametric regression on orthogonal components, classical or robust partial least squares models as described in Bilodeau, Lafaye De Micheaux and Mahdi (2015) <doi:10.18637/jss.v065.i01>.
Author: Pierre Lafaye De Micheaux [aut, cre], Martin Bilodeau [aut], Jiahui Wang [cph] , Ruben Zamar [cph] , Alfio Marazzi [cph] , Victor Yohai [cph] , Matias Salibian-Barrera [cph] , Ricardo Maronna [cph] , Eric Zivot [cph] , David Rocke [cph] , Doug Martin [...truncated...]
Maintainer: Pierre Lafaye De Micheaux <lafaye@unsw.edu.au>

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Package ECGofTestDx updated to version 0.5 with previous version 0.4 dated 2019-03-06

Title: A Goodness-of-Fit Test for Elliptical Distributions with Diagnostic Capabilities
Description: A goodness-of-fit test for elliptical distributions with diagnostic capabilities. Gilles R. Ducharme, Pierre Lafaye de Micheaux (2020) <doi:10.1016/j.jmva.2020.104602>.
Author: Gilles R Ducharme [aut], Pierre Lafaye De Micheaux [aut, cre]
Maintainer: Pierre Lafaye De Micheaux <lafaye@unsw.edu.au>

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Package wk updated to version 0.9.4 with previous version 0.9.3 dated 2024-09-06

Title: Lightweight Well-Known Geometry Parsing
Description: Provides a minimal R and C++ API for parsing well-known binary and well-known text representation of geometries to and from R-native formats. Well-known binary is compact and fast to parse; well-known text is human-readable and is useful for writing tests. These formats are useful in R only if the information they contain can be accessed in R, for which high-performance functions are provided here.
Author: Dewey Dunnington [aut, cre] , Edzer Pebesma [aut] , Anthony North [ctb]
Maintainer: Dewey Dunnington <dewey@fishandwhistle.net>

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Package quickcode updated to version 1.0.1 with previous version 1.0.0 dated 2024-09-02

Title: Quick and Essential 'R' Tricks for Better Scripts
Description: The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to improve your scripts. Improve the quality and reproducibility of 'R' scripts.
Author: Obinna Obianom [aut, cre], Brice Richard [aut]
Maintainer: Obinna Obianom <idonshayo@gmail.com>

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Package grpnet updated to version 0.6 with previous version 0.5 dated 2024-07-13

Title: Group Elastic Net Regularized GLMs and GAMs
Description: Efficient algorithms for fitting generalized linear and additive models with group elastic net penalties as described in Helwig (2024) <doi:10.1080/10618600.2024.2362232>. Implements group LASSO, group MCP, and group SCAD with an optional group ridge penalty. Computes the regularization path for linear regression (gaussian), logistic regression (binomial), multinomial logistic regression (multinomial), log-linear count regression (poisson and negative.binomial), and log-linear continuous regression (gamma and inverse gaussian). Supports default and formula methods for model specification, k-fold cross-validation for tuning the regularization parameters, and nonparametric regression via tensor product reproducing kernel (smoothing spline) basis function expansion.
Author: Nathaniel E. Helwig [aut, cre]
Maintainer: Nathaniel E. Helwig <helwig@umn.edu>

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Package eatTools updated to version 0.7.7 with previous version 0.7.6 dated 2024-04-05

Title: Miscellaneous Functions for the Analysis of Educational Assessments
Description: Miscellaneous functions for data cleaning and data analysis of educational assessments. Includes functions for descriptive analyses, character vector manipulations and weighted statistics. Mainly a lightweight dependency for the packages 'eatRep', 'eatGADS', 'eatPrep' and 'eatModel' (which will be subsequently submitted to 'CRAN'). The function for defining (weighted) contrasts in weighted effect coding refers to te Grotenhuis et al. (2017) <doi:10.1007/s00038-016-0901-1>. Functions for weighted statistics refer to Wolter (2007) <doi:10.1007/978-0-387-35099-8>.
Author: Sebastian Weirich [aut, cre], Martin Hecht [aut], Karoline Sachse [aut], Benjamin Becker [aut], Nicole Mahler [aut], Edna Grewers [ctb]
Maintainer: Sebastian Weirich <sebastian.weirich@iqb.hu-berlin.de>

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Package crew updated to version 0.10.0 with previous version 0.9.5 dated 2024-06-24

Title: A Distributed Worker Launcher Framework
Description: In computationally demanding analysis projects, statisticians and data scientists asynchronously deploy long-running tasks to distributed systems, ranging from traditional clusters to cloud services. The 'NNG'-powered 'mirai' R package by Gao (2023) <doi:10.5281/zenodo.7912722> is a sleek and sophisticated scheduler that efficiently processes these intense workloads. The 'crew' package extends 'mirai' with a unifying interface for third-party worker launchers. Inspiration also comes from packages. 'future' by Bengtsson (2021) <doi:10.32614/RJ-2021-048>, 'rrq' by FitzJohn and Ashton (2023) <https://github.com/mrc-ide/rrq>, 'clustermq' by Schubert (2019) <doi:10.1093/bioinformatics/btz284>), and 'batchtools' by Lang, Bischel, and Surmann (2017) <doi:10.21105/joss.00135>.
Author: William Michael Landau [aut, cre] , Daniel Woodie [ctb], Eli Lilly and Company [cph, fnd]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>

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Package spathial (with last version 0.1.2) was removed from CRAN

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

2020-04-10 0.1.2
2020-03-25 0.1.1

Permanent link
Package EpiModel updated to version 2.5.0 with previous version 2.4.0 dated 2023-06-20

Title: Mathematical Modeling of Infectious Disease Dynamics
Description: Tools for simulating mathematical models of infectious disease dynamics. Epidemic model classes include deterministic compartmental models, stochastic individual-contact models, and stochastic network models. Network models use the robust statistical methods of exponential-family random graph models (ERGMs) from the Statnet suite of software packages in R. Standard templates for epidemic modeling include SI, SIR, and SIS disease types. EpiModel features an API for extending these templates to address novel scientific research aims. Full methods for EpiModel are detailed in Jenness et al. (2018, <doi:10.18637/jss.v084.i08>).
Author: Samuel Jenness [cre, aut], Steven M. Goodreau [aut], Martina Morris [aut], Adrien Le Guillou [aut], Chad Klumb [aut], Skye Bender-deMoll [ctb]
Maintainer: Samuel Jenness <samuel.m.jenness@emory.edu>

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Package LorenzRegression updated to version 2.1.0 with previous version 2.0.0 dated 2024-09-09

Title: Lorenz and Penalized Lorenz Regressions
Description: Inference for the Lorenz and penalized Lorenz regressions. More broadly, the package proposes functions to assess inequality and graphically represent it. The Lorenz Regression procedure is introduced in Heuchenne and Jacquemain (2022) <doi:10.1016/j.csda.2021.107347> and in Jacquemain, A., C. Heuchenne, and E. Pircalabelu (2024) <doi:10.1214/23-EJS2200>.
Author: Alexandre Jacquemain [aut, cre] , Xingjie Shi [ctb]
Maintainer: Alexandre Jacquemain <aljacquemain@gmail.com>

Diff between LorenzRegression versions 2.0.0 dated 2024-09-09 and 2.1.0 dated 2024-10-11

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Package longitudinalData updated to version 2.4.7 with previous version 2.4.5.1 dated 2023-12-13

Title: Longitudinal Data
Description: Tools for longitudinal data and joint longitudinal data (used by packages kml and kml3d).
Author: Christophe Genolini [cre, aut], Bruno Falissard [ctb], Dai Fang [ctb], Patrice Kiener [ctb], Luke Tierney [ctb]
Maintainer: Christophe Genolini <christophe.genolini@free.fr>

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Package bvhar updated to version 2.1.2 with previous version 2.1.1 dated 2024-10-05

Title: Bayesian Vector Heterogeneous Autoregressive Modeling
Description: Tools to model and forecast multivariate time series including Bayesian Vector heterogeneous autoregressive (VHAR) model by Kim & Baek (2023) (<doi:10.1080/00949655.2023.2281644>). 'bvhar' can model Vector Autoregressive (VAR), VHAR, Bayesian VAR (BVAR), and Bayesian VHAR (BVHAR) models.
Author: Young Geun Kim [aut, cre, cph] , Changryong Baek [ctb]
Maintainer: Young Geun Kim <ygeunkimstat@gmail.com>

Diff between bvhar versions 2.1.1 dated 2024-10-05 and 2.1.2 dated 2024-10-11

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Package bamlss updated to version 1.2-5 with previous version 1.2-4 dated 2024-04-29

Title: Bayesian Additive Models for Location, Scale, and Shape (and Beyond)
Description: Infrastructure for estimating probabilistic distributional regression models in a Bayesian framework. The distribution parameters may capture location, scale, shape, etc. and every parameter may depend on complex additive terms (fixed, random, smooth, spatial, etc.) similar to a generalized additive model. The conceptual and computational framework is introduced in Umlauf, Klein, Zeileis (2019) <doi:10.1080/10618600.2017.1407325> and the R package in Umlauf, Klein, Simon, Zeileis (2021) <doi:10.18637/jss.v100.i04>.
Author: Nikolaus Umlauf [aut, cre] , Nadja Klein [aut] , Achim Zeileis [aut] , Meike Koehler [ctb], Thorsten Simon [aut] , Stanislaus Stadlmann [ctb], Alexander Volkmann [ctb]
Maintainer: Nikolaus Umlauf <Nikolaus.Umlauf@uibk.ac.at>

Diff between bamlss versions 1.2-4 dated 2024-04-29 and 1.2-5 dated 2024-10-11

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Package synthesizer updated to version 0.3.1 with previous version 0.3.0 dated 2024-10-01

Title: Synthesize Data Based on Empirical Quantile Functions and Rank Order Matching
Description: Data is synthesized using a combination of inverse transform sampling from the empirical quantile functions for each variable, and then copying the rank order structure from the original dataset. The package also includes a number of functions to measure the utility of synthesized datasets.
Author: Mark van der Loo [aut, cre]
Maintainer: Mark van der Loo <mark.vanderloo@gmail.com>

Diff between synthesizer versions 0.3.0 dated 2024-10-01 and 0.3.1 dated 2024-10-11

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Package kiwisR updated to version 0.2.4 with previous version 0.2.0 dated 2020-07-13

Title: A Wrapper for Querying KISTERS 'WISKI' Databases via the 'KiWIS' API
Description: A wrapper for querying 'WISKI' databases via the 'KiWIS' 'REST' API. 'WISKI' is an 'SQL' relational database used for the collection and storage of water data developed by KISTERS and 'KiWIS' is a 'REST' service that provides access to 'WISKI' databases via HTTP requests (<https://www.kisters.eu/water-weather-and-environment/>). Contains a list of default databases (called 'hubs') and also allows users to provide their own 'KiWIS' URL. Supports the entire query process- from metadata to specific time series values. All data is returned as tidy tibbles.
Author: Ryan Whaley [aut, cre], Sam Albers [ctb]
Maintainer: Ryan Whaley <rdgwhaley@gmail.com>

Diff between kiwisR versions 0.2.0 dated 2020-07-13 and 0.2.4 dated 2024-10-11

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Package JDCruncheR updated to version 0.3.1 with previous version 0.3.0 dated 2024-10-09

Title: Interface Between the 'JDemetra+' Cruncher and R, and Quality Report Generator
Description: Tool for generating quality reports from cruncher outputs (and calculating series scores). The latest version of the cruncher can be downloaded here: <https://github.com/jdemetra/jwsacruncher/releases>.
Author: Tanguy Barthelemy [aut, cre, art], Alain Quartier-la-Tente [aut] , Institut national de la statistique et des etudes economiques [cph] , Anna Smyk [aut]
Maintainer: Tanguy Barthelemy <tanguy.barthelemy@insee.fr>

Diff between JDCruncheR versions 0.3.0 dated 2024-10-09 and 0.3.1 dated 2024-10-11

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Package forestplot updated to version 3.1.5 with previous version 3.1.3 dated 2023-08-26

Title: Advanced Forest Plot Using 'grid' Graphics
Description: Allows the creation of forest plots with advanced features, such as multiple confidence intervals per row, customizable fonts for individual text elements, and flexible confidence interval drawing. It also supports mixing text with mathematical expressions. The package extends the application of forest plots beyond traditional meta-analyses, offering a more general version of the original 'rmeta' package’s forestplot() function. It relies heavily on the 'grid' package for rendering the plots.
Author: Max Gordon [aut, cre], Thomas Lumley [aut, ctb]
Maintainer: Max Gordon <max@gforge.se>

Diff between forestplot versions 3.1.3 dated 2023-08-26 and 3.1.5 dated 2024-10-11

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New package algaeClassify with initial version 2.0.3
Package: algaeClassify
Title: Tools to Query the Algaebase Online Database, Standardize Phytoplankton Taxonomic Data, and Perform Functional Group Classifications
Version: 2.0.3
Date: 2024-10-08
Author: Vijay Patil [aut, cre], Torsten Seltmann [aut], Nico Salmaso [aut], Orlane Anneville [aut], Marc Lajeunesse [aut], Dietmar Straile [aut]
Maintainer: Vijay Patil <vpatil@usgs.gov>
Description: Functions that facilitate the use of accepted taxonomic nomenclature, collection of functional trait data, and assignment of functional group classifications to phytoplankton species. Possible classifications include Morpho-functional group (MFG; Salmaso et al. 2015 <doi:10.1111/fwb.12520>) and CSR (Reynolds 1988; Functional morphology and the adaptive strategies of phytoplankton. In C.D. Sandgren (ed). Growth and reproductive strategies of freshwater phytoplankton, 388-433. Cambridge University Press, New York). Versions 2.0.0 and later includes new functions for querying the algaebase online taxonomic database (www.algaebase.org), however these functions require a valid API key that must be acquired from the algaebase admin. Note that none of the algaeClassify authors are affiliated with algaebase in any way. Taxonomic names can also be checked against a variety of taxonomic databases using the Global Names Resolver service via its API (<https://resolver.globalnames.org/api& [...truncated...]
Depends: R (>= 4.3.0)
URL: https://doi.org/10.5066/F7S46Q3F
Imports: lubridate, stats, ritis, curl, jsonlite, methods, RCurl
License: CC0
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2024-10-10 03:31:02 UTC; vpatil
Repository: CRAN
Date/Publication: 2024-10-11 10:40:03 UTC

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Package mpt updated to version 1.0-0 with previous version 0.8-0 dated 2022-03-23

Title: Multinomial Processing Tree Models
Description: Fitting and testing multinomial processing tree (MPT) models, a class of nonlinear models for categorical data. The parameters are the link probabilities of a tree-like graph and represent the latent cognitive processing steps executed to arrive at observable response categories (Batchelder & Riefer, 1999 <doi:10.3758/bf03210812>; Erdfelder et al., 2009 <doi:10.1027/0044-3409.217.3.108>; Riefer & Batchelder, 1988 <doi:10.1037/0033-295x.95.3.318>).
Author: Florian Wickelmaier [aut, cre], Achim Zeileis [aut]
Maintainer: Florian Wickelmaier <wickelmaier@web.de>

Diff between mpt versions 0.8-0 dated 2022-03-23 and 1.0-0 dated 2024-10-11

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Package shapviz updated to version 0.9.6 with previous version 0.9.5 dated 2024-09-14

Title: SHAP Visualizations
Description: Visualizations for SHAP (SHapley Additive exPlanations), such as waterfall plots, force plots, various types of importance plots, dependence plots, and interaction plots. These plots act on a 'shapviz' object created from a matrix of SHAP values and a corresponding feature dataset. Wrappers for the R packages 'xgboost', 'lightgbm', 'fastshap', 'shapr', 'h2o', 'treeshap', 'DALEX', and 'kernelshap' are added for convenience. By separating visualization and computation, it is possible to display factor variables in graphs, even if the SHAP values are calculated by a model that requires numerical features. The plots are inspired by those provided by the 'shap' package in Python, but there is no dependency on it.
Author: Michael Mayer [aut, cre], Adrian Stando [ctb]
Maintainer: Michael Mayer <mayermichael79@gmail.com>

Diff between shapviz versions 0.9.5 dated 2024-09-14 and 0.9.6 dated 2024-10-11

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New package sapo with initial version 0.8.0
Package: sapo
Title: Spatial Association of Different Types of Polygon
Version: 0.8.0
Date: 2024-10-02
Description: In ecology, spatial data is often represented using polygons. These polygons can represent a variety of spatial entities, such as ecological patches, animal home ranges, or gaps in the forest canopy. Researchers often need to determine if two spatial processes, represented by these polygons, are independent of each other. For instance, they might want to test if the home range of a particular animal species is influenced by the presence of a certain type of vegetation. To address this, Godoy et al. (2022) (<doi:10.1016/j.spasta.2022.100695>) developed conditional Monte Carlo tests. These tests are designed to assess spatial independence while taking into account the shape and size of the polygons.
License: GPL (>= 3)
Encoding: UTF-8
SystemRequirements: GDAL (>= 2.0.1), GEOS (>= 3.4.0), PROJ (>= 4.8.0)
Imports: sf, methods, stats
Depends: R (>= 4.0)
URL: https://github.com/lcgodoy/sapo/
BugReports: https://github.com/lcgodoy/sapo/issues/
Language: en-US
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-10-08 22:13:31 UTC; lcgodoy
Author: Lucas da Cunha Godoy [aut, cre]
Maintainer: Lucas da Cunha Godoy <lcgodoy@duck.com>
Repository: CRAN
Date/Publication: 2024-10-11 08:20:02 UTC

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New package pwr4exp with initial version 0.1.0
Package: pwr4exp
Title: Power Analysis for Research Experiments
Version: 0.1.0
Description: Provides tools for calculating statistical power and determining sample size for a variety of experimental designs used in agricultural and biological research, including completely randomized, block, and split-plot designs. Supports customized designs and allows specification of main effects, interactions, and contrasts for accurate power analysis.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: car (>= 3.1.2), emmeans (>= 1.10.3), lme4 (>= 1.1.35.4), lmerTest (>= 3.1.3), methods
Suggests: agricolae, AlgDesign, crossdes, FrF2, knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/an-ethz/pwr4exp, https://an-ethz.github.io/pwr4exp/
BugReports: https://github.com/an-ethz/pwr4exp/issues
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2024-10-08 21:10:55 UTC; wangkai
Author: Kai Wang [aut, cre, cph] , Mutian Niu [aut, cph]
Maintainer: Kai Wang <kai.wang@usys.ethz.ch>
Repository: CRAN
Date/Publication: 2024-10-11 08:20:05 UTC

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New package pPCA with initial version 1.0
Package: pPCA
Title: Partial Principal Component Analysis of Partitioned Large Sparse Matrices
Version: 1.0
Date: 2024-10-08
Maintainer: Srika Raja <sri1919@iastate.edu>
Description: Performs partial principal component analysis of a large sparse matrix. The matrix may be stored as a list of matrices to be concatenated (implicitly) horizontally. Useful application includes cases where the number of total nonzero entries exceed the capacity of 32 bit integers (e.g., with large Single Nucleotide Polymorphism data).
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.0.2), methods, RSpectra (>= 0.16-1)
Imports: Matrix (>= 1.1-0), Rcpp (>= 0.11.5)
LinkingTo: Rcpp
NeedsCompilation: yes
Suggests: ggbiplot
Packaged: 2024-10-08 22:51:26 UTC; srika
Author: Srika Raja [aut, cre], Somak Dutta [aut]
Repository: CRAN
Date/Publication: 2024-10-11 08:30:02 UTC

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New package mycaas with initial version 0.0.1
Package: mycaas
Title: My Computerized Adaptive Assessment
Version: 0.0.1
Maintainer: Andrea Brancaccio <andreabrancaccio01@gmail.com>
Description: Implementation of adaptive assessment procedures based on Knowledge Space Theory (KST, Doignon & Falmagne, 1999 <ISBN:9783540645016>) and Formal Psychological Assessment (FPA, Spoto, Stefanutti & Vidotto, 2010 <doi:10.3758/BRM.42.1.342>) frameworks. An adaptive assessment is a type of evaluation that adjusts the difficulty and nature of subsequent questions based on the test taker's responses to previous ones. The package contains functions to perform and simulate an adaptive assessment. Moreover, it is integrated with two 'Shiny' interfaces, making it both accessible and user-friendly. The package has been partially funded by the European Union - NextGenerationEU and by the Ministry of University and Research (MUR), National Recovery and Resilience Plan (NRRP), Mission 4, Component 2, Investment 1.5, project “RAISE - Robotics and AI for Socio-economic Empowerment” (ECS00000035).
License: MIT + file LICENSE
Depends: R (>= 2.10)
Imports: ggplot2, graphics, grDevices, igraph, methods, rlang, rPref, shiny, stats
Suggests: pks, spelling, testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
Language: en-US
NeedsCompilation: no
Packaged: 2024-10-03 12:39:37 UTC; Psico
Author: Andrea Brancaccio [aut, cph, cre] , Umberto Granziol [aut, ctb]
Repository: CRAN
Date/Publication: 2024-10-11 08:10:02 UTC

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New package Kifidi with initial version 0.1.0
Package: Kifidi
Title: Summary Table and Means Plots
Version: 0.1.0
Maintainer: Oswald Omuron <oswaldomuron@gmail.com>
Description: Optimized for handling complex datasets in environmental and ecological research, this package offers functionality that is not fully met by general-purpose packages. It provides two key functions, 'summarize_data()', which summarizes datasets, and 'plot_means()', which creates plots with error bars. The 'plot_means()' function incorporates error bars by default, allowing quick visualization of uncertainties, crucial in ecological studies. It also streamlines workflows for grouped datasets (e.g., by species or treatment), making it particularly user-friendly and reducing the complexity and time required for data summarization and visualization.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-10-09 06:37:02 UTC; Oswald
Author: Oswald Omuron [aut, cre]
Repository: CRAN
Date/Publication: 2024-10-11 08:40:06 UTC

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Package gRaven updated to version 1.1.10 with previous version 1.1.8 dated 2023-01-21

Title: Bayes Nets: 'RHugin' Emulation with 'gRain'
Description: Wrappers for functions in the 'gRain' package to emulate some 'RHugin' functionality, allowing the building of Bayesian networks consisting on discrete chance nodes incrementally, through adding nodes, edges and conditional probability tables, the setting of evidence, both 'hard' (boolean) or 'soft' (likelihoods), querying marginal probabilities and normalizing constants, and generating sets of high-probability configurations. Computations will typically not be so fast as they are with 'RHugin', but this package should assist users without access to 'Hugin' to use code written to use 'RHugin'.
Author: Peter Green [aut, cre], Therese Graversen [ctb], Soren Hojsgaard [ctb]
Maintainer: Peter Green <P.J.Green@bristol.ac.uk>

Diff between gRaven versions 1.1.8 dated 2023-01-21 and 1.1.10 dated 2024-10-11

 DESCRIPTION             |   10 +++++-----
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New package data.table.threads with initial version 1.0.0
Package: data.table.threads
Title: Analyze Multi-Threading Performance for 'data.table' Functions
Version: 1.0.0
Description: Assists in finding the most suitable thread count for the various 'data.table' routines that support parallel processing.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/Anirban166/data.table.threads
Imports: ggplot2, data.table, microbenchmark
NeedsCompilation: no
Packaged: 2024-10-08 03:45:44 UTC; anirban166
Author: Anirban Chetia [aut, cre]
Maintainer: Anirban Chetia <ac4743@nau.edu>
Repository: CRAN
Date/Publication: 2024-10-11 08:40:02 UTC

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Package atime updated to version 2024.10.5 with previous version 2024.10.3 dated 2024-10-04

Title: Asymptotic Timing
Description: Computing and visualizing comparative asymptotic timings of different algorithms and code versions. Also includes functionality for comparing empirical timings with expected references such as linear or quadratic, <https://en.wikipedia.org/wiki/Asymptotic_computational_complexity> Also includes functionality for measuring asymptotic memory and other quantities.
Author: Toby Hocking [aut, cre]
Maintainer: Toby Hocking <toby.hocking@r-project.org>

Diff between atime versions 2024.10.3 dated 2024-10-04 and 2024.10.5 dated 2024-10-11

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New package AdverseEvents with initial version 0.0.1
Package: AdverseEvents
Title: 'shiny' Application for Adverse Event Analysis of 'OnCore' Data
Version: 0.0.1
Author: Z Thompson [aut, cre], A Obermayer [aut], DT Chen [aut]
Maintainer: Z Thompson <zachary.thompson@moffitt.org>
Description: An application for analysis of Adverse Events, as described in Chen, et al., (2023) <doi:10.3390/cancers15092521>. The required data for the application includes demographics, follow up, adverse event, drug administration and optional tumor measurement data. The app can produce swimmers plots of adverse events, Kaplan-Meier plots and Cox Proportional Hazards model results for the association of adverse event biomarkers and overall survival and progression free survival. The adverse event biomarkers include occurrence of grade 3, low grade (1-2), and treatment related adverse events. Plots and tables of results are downloadable.
License: GPL-3
Encoding: UTF-8
VignetteBuilder: knitr
Suggests: knitr, rmarkdown
Imports: shiny, shinycssloaders, shinyjs, tidyverse, rio, janitor, DT, skimr, ggpubr, ggnewscale, survival, survminer, ggplot2, shinythemes, ggrepel, lubridate
NeedsCompilation: no
Packaged: 2024-10-07 22:18:53 UTC; 4474108
Repository: CRAN
Date/Publication: 2024-10-11 08:10:09 UTC

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Package sacRebleu (with last version 0.1.3) was removed from CRAN

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

2024-04-30 0.1.3

Permanent link
Package tok (with last version 0.1.4) was removed from CRAN

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

2024-09-04 0.1.4
2024-07-06 0.1.3
2024-06-27 0.1.2
2023-08-17 0.1.1
2023-07-06 0.1.0

Permanent link
New package WQM with initial version 0.1.4
Package: WQM
Title: Wavelet-Based Quantile Mapping for Postprocessing Numerical Weather Predictions
Version: 0.1.4
Author: Ze Jiang [aut, cre] , Fiona Johnson [aut]
Maintainer: Ze Jiang <ze.jiang@unsw.edu.au>
Description: The wavelet-based quantile mapping (WQM) technique is designed to correct biases in spatio-temporal precipitation forecasts across multiple time scales. The WQM method effectively enhances forecast accuracy by generating an ensemble of precipitation forecasts that account for uncertainties in the prediction process. For a comprehensive overview of the methodologies employed in this package, please refer to Jiang, Z., and Johnson, F. (2023) <doi:10.1029/2022EF003350>. The package relies on two packages for continuous wavelet transforms: 'WaveletComp', which can be installed automatically, and 'wmtsa', which is optional and available from the CRAN archive <https://cran.r-project.org/src/contrib/Archive/wmtsa/>. Users need to manually install 'wmtsa' from this archive if they prefer to use 'wmtsa' based decomposition.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: MBC, WaveletComp, matrixStats, ggplot2
Suggests: stats, tidyr, dplyr, wmtsa, scales, data.table, graphics, testthat (>= 3.0.0), knitr, rmarkdown, bookdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-10-07 22:38:30 UTC; z5154277
Repository: CRAN
Date/Publication: 2024-10-11 08:00:18 UTC

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New package roseRF with initial version 0.1.0
Package: roseRF
Title: ROSE Random Forests for Robust Semiparametric Efficient Estimation
Version: 0.1.0
Maintainer: Elliot H. Young <ey244@cam.ac.uk>
Description: ROSE (RObust Semiparametric Efficient) random forests for robust semiparametric efficient estimation in partially parametric models (containing generalised partially linear models). Details can be found in the paper by Young and Shah (2024) <doi:10.48550/arXiv.2410.03471>.
License: GPL-3
Encoding: UTF-8
Imports: caret (>= 6.0.93), glmnet (>= 4.1.6), keras, mgcv, mlr (>= 2.19.1), ParamHelpers, ranger (>= 0.14.1), grf, rpart, stats, tuneRanger (>= 0.5), xgboost
Depends: R (>= 4.2.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-10-07 23:51:35 UTC; elliotyoung
Author: Elliot H. Young [aut, cre], Rajen D. Shah [aut]
Repository: CRAN
Date/Publication: 2024-10-11 08:00:02 UTC

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New package plmmr with initial version 4.0.0
Package: plmmr
Title: Penalized Linear Mixed Models for Correlated Data
Version: 4.0.0
Date: 2024-10-05
Description: Fits penalized linear mixed models that correct for unobserved confounding factors. 'plmmr' infers and corrects for the presence of unobserved confounding effects such as population stratification and environmental heterogeneity. It then fits a linear model via penalized maximum likelihood. Originally designed for the multivariate analysis of single nucleotide polymorphisms (SNPs) measured in a genome-wide association study (GWAS), 'plmmr' eliminates the need for subpopulation-specific analyses and post-analysis p-value adjustments. Functions for the appropriate processing of 'PLINK' files are also supplied. For examples, see the package homepage. <https://pbreheny.github.io/plmmr/>.
License: GPL-3
URL: https://pbreheny.github.io/plmmr/, https://github.com/pbreheny/plmmr/
Depends: bigalgebra, bigmemory, R (>= 4.4.0)
Imports: biglasso (>= 1.6.0), data.table, glmnet, Matrix, ncvreg, parallel, utils
Suggests: bigsnpr, bigstatsr, graphics, grDevices, knitr, MASS, rmarkdown, tinytest
LinkingTo: BH, bigmemory, Rcpp, RcppArmadillo (>= 0.8.600)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2024-10-07 22:04:42 UTC; pbreheny
Author: Tabitha K. Peter [aut] , Anna C. Reisetter [aut] , Patrick J. Breheny [aut, cre] , Yujing Lu [aut]
Maintainer: Patrick J. Breheny <patrick-breheny@uiowa.edu>
Repository: CRAN
Date/Publication: 2024-10-11 08:00:06 UTC

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New package openrouteservice with initial version 0.5.3
Package: openrouteservice
Title: An 'openrouteservice' API Client
Version: 0.5.3
Description: The client streamlines access to the services provided by <https://api.openrouteservice.org>. It allows you to painlessly query for directions, isochrones, time-distance matrices, geocoding, elevation, points of interest, and more.
URL: https://github.com/GIScience/openrouteservice-r
BugReports: https://github.com/GIScience/openrouteservice-r/issues
Imports: geojsonsf, httr, jsonlite, jsonvalidate, keyring, leaflet, utils, V8, xml2
Suggests: covr, ggplot2, googlePolylines, lwgeom, knitr, mapview, pkgdown, RColorBrewer, rmarkdown, roxygen2, sf, testthat, units
License: Apache License 2.0
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-10-08 07:19:44 UTC; aoles
Author: Heidelberg Institute for Geoinformation Technology gGmbH [cph], Andrzej K. Oles [aut, cre]
Maintainer: Andrzej K. Oles <andrzej.oles@gmail.com>
Repository: CRAN
Date/Publication: 2024-10-11 08:00:11 UTC

More information about openrouteservice at CRAN
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New package neutrostat with initial version 0.0.1
Package: neutrostat
Title: Neutrosophic Statistics
Version: 0.0.1
Maintainer: Zsolt T. Kosztyan <kosztyan.zsolt@gtk.uni-pannon.hu>
Description: Analyzes data involving imprecise and vague information. Provides summary statistics and describes the characteristics of neutrosophic data, as defined by Florentin Smarandache (2013).<ISBN:9781599732749>.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
URL: https://github.com/kzst/neutrostat
Depends: R (>= 4.00)
NeedsCompilation: no
Packaged: 2024-10-08 09:00:07 UTC; kzst
Author: Zahid Khan [aut], Zsolt T. Kosztyan [aut, cre]
Repository: CRAN
Date/Publication: 2024-10-11 08:00:14 UTC

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Package crypto2 updated to version 2.0.3 with previous version 2.0.2 dated 2024-09-02

Title: Download Crypto Currency Data from 'CoinMarketCap' without 'API'
Description: Retrieves crypto currency information and historical prices as well as information on the exchanges they are listed on. Historical data contains daily open, high, low and close values for all crypto currencies. All data is scraped from <https://coinmarketcap.com> via their 'web-api'.
Author: Sebastian Stoeckl [aut, cre] , Jesse Vent [ctb]
Maintainer: Sebastian Stoeckl <sebastian.stoeckl@uni.li>

Diff between crypto2 versions 2.0.2 dated 2024-09-02 and 2.0.3 dated 2024-10-11

 DESCRIPTION                         |   10 +++++-----
 MD5                                 |   12 ++++++------
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 R/crypto_info.R                     |    2 +-
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 tests/testthat/test-global-quotes.R |    1 +
 tests/testthat/test-history.R       |    2 +-
 7 files changed, 19 insertions(+), 13 deletions(-)

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Package sf updated to version 1.0-18 with previous version 1.0-17 dated 2024-09-06

Title: Simple Features for R
Description: Support for simple features, a standardized way to encode spatial vector data. Binds to 'GDAL' for reading and writing data, to 'GEOS' for geometrical operations, and to 'PROJ' for projection conversions and datum transformations. Uses by default the 's2' package for spherical geometry operations on ellipsoidal (long/lat) coordinates.
Author: Edzer Pebesma [aut, cre] , Roger Bivand [ctb] , Etienne Racine [ctb], Michael Sumner [ctb], Ian Cook [ctb], Tim Keitt [ctb], Robin Lovelace [ctb], Hadley Wickham [ctb], Jeroen Ooms [ctb] , Kirill Mueller [ctb], Thomas Lin Pedersen [ctb], Dan Baston [c [...truncated...]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

Diff between sf versions 1.0-17 dated 2024-09-06 and 1.0-18 dated 2024-10-11

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More information about sf at CRAN
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Package pagedown updated to version 0.21 with previous version 0.20 dated 2022-12-13

Title: Paginate the HTML Output of R Markdown with CSS for Print
Description: Use the paged media properties in CSS and the JavaScript library 'paged.js' to split the content of an HTML document into discrete pages. Each page can have its page size, page numbers, margin boxes, and running headers, etc. Applications of this package include books, letters, reports, papers, business cards, resumes, and posters.
Author: Yihui Xie [aut, cre] , Romain Lesur [aut, cph] , Christophe Dervieux [ctb] , Brent Thorne [aut] , Xianying Tan [aut] , Atsushi Yasumoto [ctb] , Posit Software, PBC [cph, fnd], Adam Hyde [ctb] , Min-Zhong Lu [ctb] , Zulko [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

Diff between pagedown versions 0.20 dated 2022-12-13 and 0.21 dated 2024-10-11

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 README.md                                                    |   11 ++--
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Package dtComb updated to version 1.0.4 with previous version 1.0.2 dated 2024-01-30

Title: Statistical Combination of Diagnostic Tests
Description: A system for combining two diagnostic tests using various approaches that include statistical and machine-learning-based methodologies. These approaches are divided into four groups: linear combination methods, non-linear combination methods, mathematical operators, and machine learning algorithms. See the <https://biotools.erciyes.edu.tr/dtComb/> website for more information, documentation, and examples.
Author: Serra Ilayda Yerlitas [aut, ctb], Serra Bersan Gengec [aut, ctb], Necla Kochan [aut, ctb], Gozde Erturk Zararsiz [aut, ctb], Selcuk Korkmaz [aut, ctb], Gokmen Zararsiz [aut, ctb, cre]
Maintainer: Gokmen Zararsiz <gokmen.zararsiz@gmail.com>

Diff between dtComb versions 1.0.2 dated 2024-01-30 and 1.0.4 dated 2024-10-11

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Package amadeus updated to version 1.1.3 with previous version 1.0.7 dated 2024-09-02

Title: Accessing and Analyzing Large-Scale Environmental Data
Description: Functions are designed to facilitate access to and utility with large scale, publicly available environmental data in R. The package contains functions for downloading raw data files from web URLs (download_data()), processing the raw data files into clean spatial objects (process_covariates()), and extracting values from the spatial data objects at point and polygon locations (calc_covariates()). These functions call a series of source-specific functions which are tailored to each data sources/datasets particular URL structure, data format, and spatial/temporal resolution. The functions are tested, versioned, and open source and open access. For calc_sedc() method details, see Messier, Akita, and Serre (2012) <doi:10.1021/es203152a>.
Author: Mitchell Manware [aut, ctb] , Insang Song [aut, ctb] , Eva Marques [aut, ctb] , Mariana Alifa Kassien [aut, ctb] , Kyle Messier [aut, cre] , Spatiotemporal Exposures and Toxicology Group [cph]
Maintainer: Kyle Messier <kyle.messier@nih.gov>

Diff between amadeus versions 1.0.7 dated 2024-09-02 and 1.1.3 dated 2024-10-11

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 60 files changed, 652 insertions(+), 233 deletions(-)

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Package RcppAlgos updated to version 2.8.5 with previous version 2.8.3 dated 2023-12-09

Title: High Performance Tools for Combinatorics and Computational Mathematics
Description: Provides optimized functions and flexible combinatorial iterators implemented in C++ for solving problems in combinatorics and computational mathematics. Utilizes the RMatrix class from 'RcppParallel' for thread safety. There are combination/permutation functions with constraint parameters that allow for generation of all results of a vector meeting specific criteria (e.g. generating integer partitions/compositions or finding all combinations such that the sum is between two bounds). Capable of generating specific combinations/permutations (e.g. retrieve only the nth lexicographical result) which sets up nicely for parallelization as well as random sampling. Gmp support permits exploration where the total number of results is large (e.g. comboSample(10000, 500, n = 4)). Additionally, there are several high performance number theoretic functions that are useful for problems common in computational mathematics. Some of these functions make use of the fast integer division library 'libdiv [...truncated...]
Author: Joseph Wood [aut, cre]
Maintainer: Joseph Wood <jwood000@gmail.com>

Diff between RcppAlgos versions 2.8.3 dated 2023-12-09 and 2.8.5 dated 2024-10-11

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 src/ComboClass.cpp                      |   12 ++++-----
 src/GmpConvert.cpp                      |   27 ++++++++++++++++++++-
 src/SetUpUtils.cpp                      |   16 +++---------
 src/StdConvert.cpp                      |   12 +++++++--
 tests/testthat/testErrors.R             |   20 ++++++----------
 21 files changed, 150 insertions(+), 80 deletions(-)

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Package radiant.model updated to version 1.6.7 with previous version 1.6.6 dated 2024-05-15

Title: Model Menu for Radiant: Business Analytics using R and Shiny
Description: The Radiant Model menu includes interfaces for linear and logistic regression, naive Bayes, neural networks, classification and regression trees, model evaluation, collaborative filtering, decision analysis, and simulation. The application extends the functionality in 'radiant.data'.
Author: Vincent Nijs [aut, cre]
Maintainer: Vincent Nijs <radiant@rady.ucsd.edu>

Diff between radiant.model versions 1.6.6 dated 2024-05-15 and 1.6.7 dated 2024-10-11

 DESCRIPTION                        |   10 ++---
 MD5                                |   22 +++++------
 NEWS.md                            |    7 +++
 R/crtree.R                         |    2 -
 R/dtree.R                          |   70 +++++++++++++++++++++++--------------
 R/logistic.R                       |   24 ++++++++++++
 R/nn.R                             |    2 -
 R/regress.R                        |   24 ++++++++++++
 README.md                          |    2 -
 inst/app/tools/analysis/dtree_ui.R |   10 +++--
 man/plot.crtree.Rd                 |    2 -
 man/scale_df.Rd                    |    3 -
 12 files changed, 125 insertions(+), 53 deletions(-)

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Package yamlet updated to version 1.1.3 with previous version 1.1.2 dated 2024-09-11

Title: Versatile Curation of Table Metadata
Description: A YAML-based mechanism for working with table metadata. Supports compact syntax for creating, modifying, viewing, exporting, importing, displaying, and plotting metadata coded as column attributes. The 'yamlet' dialect is valid 'YAML' with defaults and conventions chosen to improve readability. See ?yamlet, ?decorate, ?modify, ?io_csv, and ?ggplot.decorated.
Author: Tim Bergsma [aut, cre]
Maintainer: Tim Bergsma <bergsmat@gmail.com>

Diff between yamlet versions 1.1.2 dated 2024-09-11 and 1.1.3 dated 2024-10-11

 DESCRIPTION                                                     |    6 
 MD5                                                             |   34 ++--
 R/explicit_guide.R                                              |   77 +++++++++-
 R/parsimonious.R                                                |   13 +
 R/yamlet.R                                                      |    4 
 R/yamlet_options.R                                              |    8 +
 inst/doc/scripted-html.html                                     |    4 
 inst/doc/scripted-pdf.pdf                                       |binary
 inst/doc/yamlet-introduction.html                               |    4 
 man/explicit_guide.data.frame.Rd                                |    5 
 man/explicit_guide.dvec.Rd                                      |    7 
 man/explicit_guide.yamlet.Rd                                    |    3 
 man/implicit_guide.data.frame.Rd                                |    4 
 man/parsimonious.list.Rd                                        |    4 
 man/yamlet_options.Rd                                           |    8 +
 tests/testthat/test-classified.R                                |   15 +
 vignettes/scripted-pdf_files/figure-latex/unnamed-chunk-4-1.pdf |binary
 vignettes/scripted-pdf_files/figure-latex/unnamed-chunk-5-1.pdf |binary
 18 files changed, 160 insertions(+), 36 deletions(-)

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