Fri, 26 Apr 2024

Package audubon updated to version 0.5.2 with previous version 0.5.1 dated 2023-05-02

Title: Japanese Text Processing Tools
Description: A collection of Japanese text processing tools for filling Japanese iteration marks, Japanese character type conversions, segmentation by phrase, and text normalization which is based on rules for the 'Sudachi' morphological analyzer and the 'NEologd' (Neologism dictionary for 'MeCab'). These features are specific to Japanese and are not implemented in 'ICU' (International Components for Unicode).
Author: Akiru Kato [cre, aut], Koki Takahashi [cph] , Shuhei Iitsuka [cph] , Taku Kudo [cph]
Maintainer: Akiru Kato <paithiov909@gmail.com>

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Package activAnalyzer updated to version 2.1.0 with previous version 2.0.2 dated 2024-01-08

Title: A 'Shiny' App to Analyze Accelerometer-Measured Daily Physical Behavior Data
Description: A tool to analyse 'ActiGraph' accelerometer data and to implement the use of the PROactive Physical Activity in COPD (chronic obstructive pulmonary disease) instruments. Once analysis is completed, the app allows to export results to .csv files and to generate a report of the measurement. All the configured inputs relevant for interpreting the results are recorded in the report. In addition to the existing 'R' packages that are fully integrated with the app, the app uses some functions from the 'actigraph.sleepr' package developed by Petkova (2021) <https://github.com/dipetkov/actigraph.sleepr/>.
Author: Pierre-Yves de Muellenheim [cre, aut]
Maintainer: Pierre-Yves de Muellenheim <pydemull@uco.fr>

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Package dndR updated to version 2.0.0 with previous version 1.3.1 dated 2023-08-07

Title: Dungeons & Dragons Functions for Players and Dungeon Masters
Description: The goal of 'dndR' is to provide a suite of Dungeons & Dragons related functions. This package is meant to be useful both to players and Dungeon Masters (DMs). All functions currently focus on Fifth Edition (a.k.a. "5e") but once the next edition is published functions will likely be expanded to include any rule changes.
Author: Nicholas Lyon [aut, cre, cph] , Tim Schatto-Eckrodt [aut] , Humberto Nappo [ctb]
Maintainer: Nicholas Lyon <njlyon@alumni.iastate.edu>

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Package cpfa updated to version 1.1-4 with previous version 1.1-3 dated 2024-04-06

Title: Classification with Parallel Factor Analysis
Description: Classification using Richard A. Harshman's Parallel Factor Analysis-1 (Parafac) model or Parallel Factor Analysis-2 (Parafac2) model fit to a three-way or four-way data array. See Harshman and Lundy (1994): <doi:10.1016/0167-9473(94)90132-5>. Uses component weights from one mode of a Parafac or Parafac2 model as features to tune parameters for one or more classification methods via a k-fold cross-validation procedure. Allows for constraints on different tensor modes. Supports penalized logistic regression, support vector machine, random forest, feed-forward neural network, regularized discriminant analysis, and gradient boosting machine. Supports binary and multiclass classification. Predicts class labels or class probabilities and calculates multiple classification performance measures. Implements parallel computing via the 'parallel' and 'doParallel' packages.
Author: Matthew A. Snodgress <snodg031@umn.edu>
Maintainer: Matthew A. Snodgress <snodg031@umn.edu>

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Package svrep updated to version 0.6.4 with previous version 0.6.3 dated 2023-09-09

Title: Tools for Creating, Updating, and Analyzing Survey Replicate Weights
Description: Provides tools for creating and working with survey replicate weights, extending functionality of the 'survey' package from Lumley (2004) <doi:10.18637/jss.v009.i08>. Implements bootstrap methods for complex surveys, including the generalized survey bootstrap as described by Beaumont and Patak (2012) <doi:10.1111/j.1751-5823.2011.00166.x>. Methods are provided for applying nonresponse adjustments to both full-sample and replicate weights as described by Rust and Rao (1996) <doi:10.1177/096228029600500305>. Implements methods for sample-based calibration described by Opsomer and Erciulescu (2021) <https://www150.statcan.gc.ca/n1/pub/12-001-x/2021002/article/00006-eng.htm>. Diagnostic functions are included to compare weights and weighted estimates from different sets of replicate weights.
Author: Ben Schneider [aut, cre]
Maintainer: Ben Schneider <benjamin.julius.schneider@gmail.com>

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Package tth updated to version 4.16-0 with previous version 4.12-0-1 dated 2022-03-30

Title: TeX-to-HTML/MathML Translators TtH/TtM
Description: C source code and R wrappers for the tth/ttm TeX-to-HTML/MathML translators.
Author: Ian H. Hutchinson [aut] , Friedrich Leisch [aut] , Achim Zeileis [aut, cre]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

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Package bindata updated to version 0.9-21 with previous version 0.9-20 dated 2021-01-29

Title: Generation of Artificial Binary Data
Description: Generation of correlated artificial binary data.
Author: Friedrich Leisch [aut] , Andreas Weingessel [aut], Kurt Hornik [aut, cre]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

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Package windex updated to version 2.0.8 with previous version 2.0.7 dated 2023-12-14

Title: Analysing Convergent Evolution using the Wheatsheaf Index
Description: Analysing convergent evolution using the Wheatsheaf index, described in Arbuckle et al. (2014) <doi: 10.1111/2041-210X.12195>, and some other unrelated but perhaps useful functions.
Author: Kevin Arbuckle and Amanda Minter
Maintainer: Kevin Arbuckle <kevin.arbuckle@swansea.ac.uk>

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Package SpatialDDLS updated to version 1.0.2 with previous version 1.0.1 dated 2024-03-15

Title: Deconvolution of Spatial Transcriptomics Data Based on Neural Networks
Description: Deconvolution of spatial transcriptomics data based on neural networks and single-cell RNA-seq data. SpatialDDLS implements a workflow to create neural network models able to make accurate estimates of cell composition of spots from spatial transcriptomics data using deep learning and the meaningful information provided by single-cell RNA-seq data. See Torroja and Sanchez-Cabo (2019) <doi:10.3389/fgene.2019.00978> and MaƱanes et al. (2024) <doi:10.1093/bioinformatics/btae072> to get an overview of the method and see some examples of its performance.
Author: Diego Mananes [aut, cre] , Carlos Torroja [aut] , Fatima Sanchez-Cabo [aut]
Maintainer: Diego Mananes <dmananesc@cnic.es>

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Package jsTreeR updated to version 2.6.0 with previous version 2.5.0 dated 2023-12-19

Title: A Wrapper of the JavaScript Library 'jsTree'
Description: Creates interactive trees that can be included in 'Shiny' apps and R markdown documents. A tree allows to represent hierarchical data (e.g. the contents of a directory). Similar to the 'shinyTree' package but offers more features and options, such as the grid extension, restricting the drag-and-drop behavior, and settings for the search functionality. It is possible to attach some data to the nodes of a tree and then to get these data in 'Shiny' when a node is selected. Also provides a 'Shiny' gadget allowing to manipulate one or more folders, and a 'Shiny' module allowing to navigate in the server side file system.
Author: Stephane Laurent [aut, cre], jQuery contributors [ctb, cph] , Ivan Bozhanov [ctb, cph] , Vedran Opacic [ctb, cph] , Avi Deitcher [ctb, cph] , Philip Hutchison [ctb, cph] , Terence Eden [ctb, cph]
Maintainer: Stephane Laurent <laurent_step@outlook.fr>

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Package csdata updated to version 2024.4.26 with previous version 2024.1.17 dated 2024-01-18

Title: Structural Data for Norway
Description: Datasets relating to population in municipalities, municipality/county matching, and how different municipalities have merged/redistricted over time from 2006 to 2024.
Author: Richard Aubrey White [aut, cre] , Chi Zhang [aut] , CSIDS [cph]
Maintainer: Richard Aubrey White <hello@rwhite.no>

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Package blackmarbler updated to version 0.2.0 with previous version 0.1.2 dated 2024-01-10

Title: Black Marble Data and Statistics
Description: Geographically referenced data and statistics of nighttime lights from NASA Black Marble <https://blackmarble.gsfc.nasa.gov/>.
Author: Robert Marty [aut, cre] , Gabriel Stefanini Vicente [aut]
Maintainer: Robert Marty <rmarty@worldbank.org>

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Package basicdrm updated to version 0.3.0 with previous version 0.1.0 dated 2024-02-16

Title: Fit Hill Dose Response Models
Description: Evaluate, fit, and analyze Hill dose response models (Goutelle et al., 2008 <doi:10.1111/j.1472-8206.2008.00633.x>), also sometimes referred to as four-parameter log-logistic models. Includes tools to invert Hill models, select models based on the Akaike information criterion (Akaike, 1974 <doi:10.1109/TAC.1974.1100705>) or Bayesian information criterion (Schwarz, 1978 <https://www.jstor.org/stable/2958889>), and construct bootstrapped confidence intervals both on the Hill model parameters and values derived from the Hill model parameters.
Author: Anang Shelat [aut], Nathaniel Twarog [aut, cre]
Maintainer: Nathaniel Twarog <nathaniel.twarog@stjude.org>

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Package breakfast updated to version 2.4 with previous version 2.3 dated 2022-10-18

Title: Methods for Fast Multiple Change-Point/Break-Point Detection and Estimation
Description: A developing software suite for multiple change-point and change-point-type feature detection/estimation (data segmentation) in data sequences.
Author: Andreas Anastasiou [aut], Yining Chen [aut, cre], Haeran Cho [aut], Piotr Fryzlewicz [aut]
Maintainer: Yining Chen <y.chen101@lse.ac.uk>

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Package respR (with last version 2.3.2) was removed from CRAN

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

2023-11-16 2.3.2
2023-06-29 2.3.1

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Package TidyDensity updated to version 1.4.0 with previous version 1.3.0 dated 2024-01-09

Title: Functions for Tidy Analysis and Generation of Random Data
Description: To make it easy to generate random numbers based upon the underlying stats distribution functions. All data is returned in a tidy and structured format making working with the data simple and straight forward. Given that the data is returned in a tidy 'tibble' it lends itself to working with the rest of the 'tidyverse'.
Author: Steven Sanderson [aut, cre, cph]
Maintainer: Steven Sanderson <spsanderson@gmail.com>

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Package httptest2 updated to version 1.1.0 with previous version 1.0.0 dated 2023-11-07

Title: Test Helpers for 'httr2'
Description: Testing and documenting code that communicates with remote servers can be painful. This package helps with writing tests for packages that use 'httr2'. It enables testing all of the logic on the R sides of the API without requiring access to the remote service, and it also allows recording real API responses to use as test fixtures. The ability to save responses and load them offline also enables writing vignettes and other dynamic documents that can be distributed without access to a live server.
Author: Neal Richardson [aut, cre] , Jonathan Keane [ctb], Maelle Salmon [ctb]
Maintainer: Neal Richardson <neal.p.richardson@gmail.com>

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Package semhelpinghands updated to version 0.1.11 with previous version 0.1.10 dated 2024-03-12

Title: Helper Functions for Structural Equation Modeling
Description: An assortment of helper functions for doing structural equation modeling, mainly by 'lavaan' for now. Most of them are time-saving functions for common tasks in doing structural equation modeling and reading the output. This package is not for functions that implement advanced statistical procedures. It is a light-weight package for simple functions that do simple tasks conveniently, with as few dependencies as possible.
Author: Shu Fai Cheung [aut, cre]
Maintainer: Shu Fai Cheung <shufai.cheung@gmail.com>

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Package RALSA updated to version 1.4.5 with previous version 1.4.0 dated 2024-02-02

Title: R Analyzer for Large-Scale Assessments
Description: Prepare and analyze data from large-scale assessments and surveys with complex sampling and assessment design (see 'Rutkowski', 2010 <doi:10.3102/0013189X10363170>). Such studies are, for example, international assessments like 'TIMSS', 'PIRLS' and 'PISA'. A graphical interface is available for the non-technical user.The package includes functions to covert the original data from 'SPSS' into 'R' data sets keeping the user-defined missing values, merge data from different respondents and/or countries, generate variable dictionaries, modify data, produce descriptive statistics (percentages, means, percentiles, benchmarks) and multivariate statistics (correlations, linear regression, binary logistic regression). The number of supported studies and analysis types will increase in future. For a general presentation of the package, see 'Mirazchiyski', 2021a (<doi:10.1186/s40536-021-00114-4>). For detailed technical aspects of the package, see 'Mirazchiyski', 2021b (<doi:10.339 [...truncated...]
Author: Plamen V. Mirazchiyski [aut, cre], INERI [aut]
Maintainer: Plamen V. Mirazchiyski <plamen.mirazchiyski@ineri.org>

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Package comstab updated to version 0.0.3 with previous version 0.0.2 dated 2024-03-14

Title: Partitioning the Drivers of Stability of Ecological Communities
Description: Contains the basic functions to apply the unified framework for partitioning the drivers of stability of ecological communities. Segrestin et al. (2024) <doi:10.1111/geb.13828>.
Author: Jules Segrestin [aut, cre, cph]
Maintainer: Jules Segrestin <jsegrestin@gmail.com>

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Package apcluster updated to version 1.4.13 with previous version 1.4.12 dated 2024-04-19

Title: Affinity Propagation Clustering
Description: Implements Affinity Propagation clustering introduced by Frey and Dueck (2007) <DOI:10.1126/science.1136800>. The algorithms are largely analogous to the 'Matlab' code published by Frey and Dueck. The package further provides leveraged affinity propagation and an algorithm for exemplar-based agglomerative clustering that can also be used to join clusters obtained from affinity propagation. Various plotting functions are available for analyzing clustering results.
Author: Ulrich Bodenhofer [aut, cre], Johannes Palme [ctb], Chrats Melkonian [ctb], Andreas Kothmeier [aut], Nikola Kostic [ctb]
Maintainer: Ulrich Bodenhofer <ulrich@bodenhofer.com>

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Package rococo updated to version 1.1.9 with previous version 1.1.8 dated 2024-04-22

Title: Robust Rank Correlation Coefficient and Test
Description: Provides the robust gamma rank correlation coefficient as introduced by Bodenhofer, Krone, and Klawonn (2013) <DOI:10.1016/j.ins.2012.11.026> along with a permutation-based rank correlation test. The rank correlation coefficient and the test are explicitly designed for dealing with noisy numerical data.
Author: Martin Krone [aut], Ulrich Bodenhofer [aut,cre]
Maintainer: Ulrich Bodenhofer <ulrich@bodenhofer.com>

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Package QTLEMM updated to version 1.5.3 with previous version 1.5.2 dated 2024-03-13

Title: QTL Mapping and Hotspots Detection
Description: For QTL mapping, this package comprises several functions designed to execute diverse tasks, such as simulating or analyzing data, calculating significance thresholds, and visualizing QTL mapping results. The single-QTL or multiple-QTL method, which enables the fitting and comparison of various statistical models, is employed to analyze the data for estimating QTL parameters. The models encompass linear regression, permutation tests, normal mixture models, and truncated normal mixture models. The Gaussian stochastic process is utilized to compute significance thresholds for QTL detection on a genetic linkage map within experimental populations. Two types of data, complete genotyping, and selective genotyping data from various experimental populations, including backcross, F2, recombinant inbred (RI) populations, and advanced intercrossed (AI) populations, are considered in the QTL mapping analysis. For QTL hotspot detection, statistical methods can be developed based on either utilizin [...truncated...]
Author: Ping-Yuan Chung [cre], Chen-Hung Kao [aut], Y.-T. Guo [aut], H.-N. Ho [aut], H.-I. Lee [aut], P.-Y. Wu [aut], M.-H. Yang [aut], M.-H. Zeng [aut]
Maintainer: Ping-Yuan Chung <pychung@webmail.stat.sinica.edu.tw>

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Package fastcpd updated to version 0.14.3 with previous version 0.14.1 dated 2024-04-18

Title: Fast Change Point Detection via Sequential Gradient Descent
Description: Implements fast change point detection algorithm based on the paper "Sequential Gradient Descent and Quasi-Newton's Method for Change-Point Analysis" by Xianyang Zhang, Trisha Dawn <https://proceedings.mlr.press/v206/zhang23b.html>. The algorithm is based on dynamic programming with pruning and sequential gradient descent. It is able to detect change points a magnitude faster than the vanilla Pruned Exact Linear Time(PELT). The package includes examples of linear regression, logistic regression, Poisson regression, penalized linear regression data, and whole lot more examples with custom cost function in case the user wants to use their own cost function.
Author: Xingchi Li [aut, cre, cph] , Xianyang Zhang [aut, cph]
Maintainer: Xingchi Li <anthony.li@stat.tamu.edu>

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Package YatchewTest updated to version 1.0.2 with previous version 1.0.0 dated 2024-04-04

Title: Yatchew (1997), De Chaisemartin & D'Haultfoeuille (2024) Linearity Test
Description: Test of linearity originally proposed by Yatchew (1997) <doi:10.1016/S0165-1765(97)00218-8> and improved by de Chaisemartin & D'Haultfoeuille (2024) <doi:10.2139/ssrn.4284811> to be robust under heteroskedasticity.
Author: Diego Ciccia [aut, cre], Felix Knau [aut], Doulo Sow [aut], Clement de Chaisemartin [aut], Xavier D'Haultfoeuille [aut]
Maintainer: Diego Ciccia <diego.ciccia@sciencespo.fr>

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Package imager updated to version 1.0.1 with previous version 0.45.8 dated 2024-02-20

Title: Image Processing Library Based on 'CImg'
Description: Fast image processing for images in up to 4 dimensions (two spatial dimensions, one time/depth dimension, one colour dimension). Provides most traditional image processing tools (filtering, morphology, transformations, etc.) as well as various functions for easily analysing image data using R. The package wraps 'CImg', <http://cimg.eu>, a simple, modern C++ library for image processing.
Author: Simon Barthelme [aut], David Tschumperle [ctb], Jan Wijffels [ctb], Haz Edine Assemlal [ctb], Shota Ochi [ctb], Aaron Robotham [cre], Rodrigo Tobar [ctb]
Maintainer: Aaron Robotham <aaron.robotham@uwa.edu.au>

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Package dendroTools updated to version 1.2.13 with previous version 1.2.11 dated 2024-01-25

Title: Linear and Nonlinear Methods for Analyzing Daily and Monthly Dendroclimatological Data
Description: Provides novel dendroclimatological methods, primarily used by the Tree-ring research community. There are four core functions. The first one is daily_response(), which finds the optimal sequence of days that are related to one or more tree-ring proxy records. Similar function is daily_response_seascorr(), which implements partial correlations in the analysis of daily response functions. For the enthusiast of monthly data, there is monthly_response() function. The last core function is compare_methods(), which effectively compares several linear and nonlinear regression algorithms on the task of climate reconstruction.
Author: Jernej Jevsenak [aut, cre]
Maintainer: Jernej Jevsenak <jernej.jevsenak@gmail.com>

Diff between dendroTools versions 1.2.11 dated 2024-01-25 and 1.2.13 dated 2024-04-26

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Package cmsafvis updated to version 1.2.6 with previous version 1.2.3 dated 2024-01-26

Title: Tools to Visualize CM SAF NetCDF Data
Description: The Satellite Application Facility on Climate Monitoring (CM SAF) is a ground segment of the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) and one of EUMETSATs Satellite Application Facilities. The CM SAF contributes to the sustainable monitoring of the climate system by providing essential climate variables related to the energy and water cycle of the atmosphere (<https://www.cmsaf.eu>). It is a joint cooperation of eight National Meteorological and Hydrological Services. The 'cmsafvis' R-package provides a collection of R-operators for the analysis and visualization of CM SAF NetCDF data. CM SAF climate data records are provided for free via (<https://wui.cmsaf.eu/safira>). Detailed information and test data are provided on the CM SAF webpage (<http://www.cmsaf.eu/R_toolbox>).
Author: Steffen Kothe [aut, cre], Danny Parsons [ctb]
Maintainer: Steffen Kothe <Steffen.Kothe@dwd.de>

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Package FastGaSP updated to version 0.5.3 with previous version 0.5.2 dated 2021-09-02

Title: Fast and Exact Computation of Gaussian Stochastic Process
Description: Implements fast and exact computation of Gaussian stochastic process with the Matern kernel using forward filtering and backward smoothing algorithm. It allows for the cases with or without a noise. See the reference: Mengyang Gu and Yanxun Xu, 2020, Journal of Computational and Graphical Statistics.
Author: Mengyang Gu [aut, cre]
Maintainer: Mengyang Gu <mengyang@pstat.ucsb.edu>

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Package cmsafops updated to version 1.4.0 with previous version 1.3.0 dated 2023-09-18

Title: Tools for CM SAF NetCDF Data
Description: The Satellite Application Facility on Climate Monitoring (CM SAF) is a ground segment of the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) and one of EUMETSATs Satellite Application Facilities. The CM SAF contributes to the sustainable monitoring of the climate system by providing essential climate variables related to the energy and water cycle of the atmosphere (<https://www.cmsaf.eu>). It is a joint cooperation of eight National Meteorological and Hydrological Services. The 'cmsafops' R-package provides a collection of R-operators for the analysis and manipulation of CM SAF NetCDF formatted data. Other CF conform NetCDF data with time, longitude and latitude dimension should be applicable, but there is no guarantee for an error-free application. CM SAF climate data records are provided for free via (<https://wui.cmsaf.eu/safira>). Detailed information and test data are provided on the CM SAF webpage (<http://www.cmsaf.eu/R_toolbox& [...truncated...]
Author: Steffen Kothe [aut, cre], Danny Parsons [ctb]
Maintainer: Steffen Kothe <Steffen.Kothe@dwd.de>

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Package arulesViz updated to version 1.5.3 with previous version 1.5-2 dated 2023-03-07

Title: Visualizing Association Rules and Frequent Itemsets
Description: Extends package 'arules' with various visualization techniques for association rules and itemsets. The package also includes several interactive visualizations for rule exploration. Michael Hahsler (2017) <doi:10.32614/RJ-2017-047>.
Author: Michael Hahsler [aut, cre, cph] , Giallanza Tyler [ctb], Sudheer Chelluboina [ctb]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

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Package UBCRM updated to version 1.0.3 with previous version 1.0.2 dated 2022-05-16

Title: Simulate and Conduct Dose-Escalation Phase I Studies
Description: Two Phase I designs are implemented in the package: the classical 3+3 and the Continual Reassessment Method (<doi:10.2307/2531628>). Simulations tools are also available to estimate the operating characteristics of the methods with several user-dependent options.
Author: Benjamin Esterni with contribution from Baboukar Mane
Maintainer: Christophe Zemmour <christophe.zemmour@gmail.com>

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Package stplanr updated to version 1.2.0 with previous version 1.1.2 dated 2023-09-15

Title: Sustainable Transport Planning
Description: Tools for transport planning with an emphasis on spatial transport data and non-motorized modes. The package was originally developed to support the 'Propensity to Cycle Tool', a publicly available strategic cycle network planning tool (Lovelace et al. 2017) <doi:10.5198/jtlu.2016.862>, but has since been extended to support public transport routing and accessibility analysis (Moreno-Monroy et al. 2017) <doi:10.1016/j.jtrangeo.2017.08.012> and routing with locally hosted routing engines such as 'OSRM' (Lowans et al. 2023) <doi:10.1016/j.enconman.2023.117337>. The main functions are for creating and manipulating geographic "desire lines" from origin-destination (OD) data (building on the 'od' package); calculating routes on the transport network locally and via interfaces to routing services such as <https://cyclestreets.net/> (Desjardins et al. 2021) <doi:10.1007/s11116-021-10197-1>; and calculating route segment attributes such as bearing. The package imp [...truncated...]
Author: Robin Lovelace [aut, cre] , Richard Ellison [aut], Malcolm Morgan [aut] , Barry Rowlingson [ctb], Nick Bearman [ctb], Nikolai Berkoff [ctb], Scott Chamberlain [rev] , Mark Padgham [ctb], Zhao Wang [ctb] , Andrea Gilardi [ctb] , Josiah Parry [ctb]
Maintainer: Robin Lovelace <rob00x@gmail.com>

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Package RcppSpdlog updated to version 0.0.17 with previous version 0.0.16 dated 2024-01-12

Title: R and C++ Interfaces to 'spdlog' C++ Header Library for Logging
Description: The mature and widely-used C++ logging library 'spdlog' by Gabi Melman provides many desirable features. This package bundles these header files for easy use by R packages from both their R and C or C++ code. Explicit use via 'LinkingTo:' is also supported. Also see the 'spdl' package which enhanced this package with a consistent R and C++ interface.
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppSpdlog versions 0.0.16 dated 2024-01-12 and 0.0.17 dated 2024-04-26

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Package LearnPCA updated to version 0.3.4 with previous version 0.2.0 dated 2022-05-01

Title: Functions, Data Sets and Vignettes to Aid in Learning Principal Components Analysis (PCA)
Description: Principal component analysis (PCA) is one of the most widely used data analysis techniques. This package provides a series of vignettes explaining PCA starting from basic concepts. The primary purpose is to serve as a self-study resource for anyone wishing to understand PCA better. A few convenience functions are provided as well.
Author: Bryan A. Hanson [aut, cre] , David T. Harvey [aut]
Maintainer: Bryan A. Hanson <hanson@depauw.edu>

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Package CausalQueries updated to version 1.1.1 with previous version 1.1.0 dated 2024-04-10

Title: Make, Update, and Query Binary Causal Models
Description: Users can declare binary causal models, update beliefs about causal types given data and calculate arbitrary estimands. Model definition makes use of 'dagitty' functionality. Updating is implemented in 'stan'. The approach used in 'CausalQueries' is a generalization of the 'biqq' models described in "Mixing Methods: A Bayesian Approach" (Humphreys and Jacobs, 2015, <DOI:10.1017/S0003055415000453>). The conceptual extension makes use of work on probabilistic causal models described in Pearl's Causality (Pearl, 2009, <DOI:10.1017/CBO9780511803161>).
Author: Clara Bicalho [ctb], Jasper Cooper [ctb], Macartan Humphreys [aut] , Till Tietz [aut, cre] , Alan Jacobs [aut], Merlin Heidemanns [ctb], Lily Medina [aut] , Julio Solis [ctb], Georgiy Syunyaev [aut]
Maintainer: Till Tietz <ttietz2014@gmail.com>

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