Wed, 06 Mar 2024

Package santaR updated to version 1.2.4 with previous version 1.2.2 dated 2022-05-23

Title: Short Asynchronous Time-Series Analysis
Description: A graphical and automated pipeline for the analysis of short time-series in R ('santaR'). This approach is designed to accommodate asynchronous time sampling (i.e. different time points for different individuals), inter-individual variability, noisy measurements and large numbers of variables. Based on a smoothing splines functional model, 'santaR' is able to detect variables highlighting significantly different temporal trajectories between study groups. Designed initially for metabolic phenotyping, 'santaR' is also suited for other Systems Biology disciplines. Command line and graphical analysis (via a 'shiny' application) enable fast and parallel automated analysis and reporting, intuitive visualisation and comprehensive plotting options for non-specialist users.
Author: Arnaud Wolfer [aut, cre] , Timothy Ebbels [ctb], Joe Cheng [ctb]
Maintainer: Arnaud Wolfer <adwolfer@gmail.com>

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Package RNifti updated to version 1.6.1 with previous version 1.6.0 dated 2024-02-15

Title: Fast R and C++ Access to NIfTI Images
Description: Provides very fast read and write access to images stored in the NIfTI-1, NIfTI-2 and ANALYZE-7.5 formats, with seamless synchronisation of in-memory image objects between compiled C and interpreted R code. Also provides a simple image viewer, and a C/C++ API that can be used by other packages. Not to be confused with 'RNiftyReg', which performs image registration and applies spatial transformations.
Author: Jon Clayden [cre, aut] , Bob Cox [aut], Mark Jenkinson [aut], Matt Hall [ctb], Rick Reynolds [ctb], Kate Fissell [ctb], Jean-loup Gailly [cph], Mark Adler [cph]
Maintainer: Jon Clayden <code@clayden.org>

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Package NNS updated to version 10.7 with previous version 10.6 dated 2024-02-20

Title: Nonlinear Nonparametric Statistics
Description: Nonlinear nonparametric statistics using partial moments. Partial moments are the elements of variance and asymptotically approximate the area of f(x). These robust statistics provide the basis for nonlinear analysis while retaining linear equivalences. NNS offers: Numerical integration, Numerical differentiation, Clustering, Correlation, Dependence, Causal analysis, ANOVA, Regression, Classification, Seasonality, Autoregressive modeling, Normalization, Stochastic dominance and Advanced Monte Carlo sampling. All routines based on: Viole, F. and Nawrocki, D. (2013), Nonlinear Nonparametric Statistics: Using Partial Moments (ISBN: 1490523995).
Author: Fred Viole [aut, cre], Roberto Spadim [ctb]
Maintainer: Fred Viole <ovvo.financial.systems@gmail.com>

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Package LPCM updated to version 0.47-4 with previous version 0.47-3 dated 2023-01-06

Title: Local Principal Curve Methods
Description: Fitting multivariate data patterns with local principal curves, including tools for data compression (projection) and measuring goodness-of-fit; with some additional functions for mean shift clustering. See Einbeck, Tutz and Evers (2005) <doi:10.1007/s11222-005-4073-8> and Ameijeiras-Alonso and Einbeck (2023) <doi:10.1007/s11634-023-00575-1>.
Author: Jochen Einbeck and Ludger Evers
Maintainer: Jochen Einbeck <jochen.einbeck@durham.ac.uk>

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Package RESET updated to version 1.0.0 with previous version 0.2.2 dated 2024-03-03

Title: Reconstruction Set Test
Description: Contains logic for sample-level variable set scoring using randomized reduced rank reconstruction error. Frost, H. Robert (2023) "Reconstruction Set Test (RESET): a computationally efficient method for single sample gene set testing based on randomized reduced rank reconstruction error" <doi:10.1101/2023.04.03.535366>.
Author: H. Robert Frost [aut, cre]
Maintainer: H. Robert Frost <rob.frost@dartmouth.edu>

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Package RcmdrPlugin.HH updated to version 1.1-51 with previous version 1.1-50 dated 2024-03-06

Title: Rcmdr Support for the HH Package
Description: Rcmdr menu support for many of the functions in the HH package. The focus is on menu items for functions we use in our introductory courses.
Author: Richard M. Heiberger, with contributions from Burt Holland
Maintainer: Richard M. Heiberger <rmh@temple.edu>

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Package PartialNetwork updated to version 1.0.3 with previous version 1.0.2 dated 2023-08-22

Title: Estimating Peer Effects Using Partial Network Data
Description: Implements IV-estimator and Bayesian estimator for linear-in-means Spatial Autoregressive (SAR) model (see LeSage, 1997 <doi:10.1177/016001769702000107>; Lee, 2004 <doi:10.1111/j.1468-0262.2004.00558.x>; Bramoullé et al., 2009 <doi:10.1016/j.jeconom.2008.12.021>), while assuming that only a partial information about the network structure is available. Examples are when the adjacency matrix is not fully observed or when only consistent estimation of the network formation model is available (see Boucher and Houndetoungan <https://ahoundetoungan.com/files/Papers/PartialNetwork.pdf>).
Author: Vincent Boucher [aut], Aristide Houndetoungan [cre, aut]
Maintainer: Aristide Houndetoungan <ariel92and@gmail.com>

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Package omu updated to version 1.1.2 with previous version 1.1.1 dated 2023-10-16

Title: A Metabolomics Analysis Tool for Intuitive Figures and Convenient Metadata Collection
Description: Facilitates the creation of intuitive figures to describe metabolomics data by utilizing Kyoto Encyclopedia of Genes and Genomes (KEGG) hierarchy data, and gathers functional orthology and gene data from the KEGG-REST API.
Author: Connor Tiffany [aut, cre]
Maintainer: Connor Tiffany <tiffanyc1@chop.edu>

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Package hermiter updated to version 2.3.1 with previous version 2.3.0 dated 2023-05-08

Title: Efficient Sequential and Batch Estimation of Univariate and Bivariate Probability Density Functions and Cumulative Distribution Functions along with Quantiles (Univariate) and Nonparametric Correlation (Bivariate)
Description: Facilitates estimation of full univariate and bivariate probability density functions and cumulative distribution functions along with full quantile functions (univariate) and nonparametric correlation (bivariate) using Hermite series based estimators. These estimators are particularly useful in the sequential setting (both stationary and non-stationary) and one-pass batch estimation setting for large data sets. Based on: Stephanou, Michael, Varughese, Melvin and Macdonald, Iain. "Sequential quantiles via Hermite series density estimation." Electronic Journal of Statistics 11.1 (2017): 570-607 <doi:10.1214/17-EJS1245>, Stephanou, Michael and Varughese, Melvin. "On the properties of Hermite series based distribution function estimators." Metrika (2020) <doi:10.1007/s00184-020-00785-z> and Stephanou, Michael and Varughese, Melvin. "Sequential estimation of Spearman rank correlation using Hermite series estimators." Journal of Multivariate Analysis (2021) <doi:10.1016/j.jmv [...truncated...]
Author: Michael Stephanou [aut, cre], Melvin Varughese [ctb]
Maintainer: Michael Stephanou <michael.stephanou@gmail.com>

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Package gdalcubes updated to version 0.7.0 with previous version 0.6.4 dated 2023-04-14

Title: Earth Observation Data Cubes from Satellite Image Collections
Description: Processing collections of Earth observation images as on-demand multispectral, multitemporal raster data cubes. Users define cubes by spatiotemporal extent, resolution, and spatial reference system and let 'gdalcubes' automatically apply cropping, reprojection, and resampling using the 'Geospatial Data Abstraction Library' ('GDAL'). Implemented functions on data cubes include reduction over space and time, applying arithmetic expressions on pixel band values, moving window aggregates over time, filtering by space, time, bands, and predicates on pixel values, exporting data cubes as 'netCDF' or 'GeoTIFF' files, plotting, and extraction from spatial and or spatiotemporal features. All computational parts are implemented in C++, linking to the 'GDAL', 'netCDF', 'CURL', and 'SQLite' libraries. See Appel and Pebesma (2019) <doi:10.3390/data4030092> for further details.
Author: Marius Appel [aut, cre] , Edzer Pebesma [ctb] , Roger Bivand [ctb], Jeroen Ooms [ctb] , Lewis Van Winkle [cph], Ole Christian Eidheim [cph], Howard Hinnant [cph], Adrian Colomitchi [cph], Florian Dang [cph], Paul Thompson [cph], Tomasz Kaminski [cph] [...truncated...]
Maintainer: Marius Appel <marius.appel@hs-bochum.de>

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More information about gdalcubes at CRAN
Permanent link

Package FAST.R updated to version 0.2.0 with previous version 0.1.3 dated 2024-01-16

Title: Analyze and Visualize FAST-Generated Data
Description: R 'shiny' app to perform data analysis and visualization for the Fully Automated Senescence Test (FAST) workflow.
Author: Francesco Neri [aut, cre, cph]
Maintainer: Francesco Neri <f.francesconeri@gmail.com>

Diff between FAST.R versions 0.1.3 dated 2024-01-16 and 0.2.0 dated 2024-03-06

 FAST.R-0.1.3/FAST.R/inst/extdata/IR_Serum-Starvation/IR_sum_2023-0317.xlsx                          |only
 FAST.R-0.1.3/FAST.R/inst/extdata/IR_Serum-Starvation/IR_sum_2023-0317_metadata.csv                  |only
 FAST.R-0.2.0/FAST.R/DESCRIPTION                                                                     |   14 +-
 FAST.R-0.2.0/FAST.R/MD5                                                                             |   31 ++--
 FAST.R-0.2.0/FAST.R/NEWS.md                                                                         |    6 
 FAST.R-0.2.0/FAST.R/R/analyze_single_cell_data.R                                                    |   60 ++++++---
 FAST.R-0.2.0/FAST.R/R/app.R                                                                         |    7 -
 FAST.R-0.2.0/FAST.R/R/data_analysisServer.R                                                         |   18 ++
 FAST.R-0.2.0/FAST.R/R/data_analysisUI.R                                                             |   23 ++-
 FAST.R-0.2.0/FAST.R/R/example_dataServer.R                                                          |only
 FAST.R-0.2.0/FAST.R/R/example_dataUI.R                                                              |only
 FAST.R-0.2.0/FAST.R/R/generate_single_cell_df.R                                                     |   65 +++++++++-
 FAST.R-0.2.0/FAST.R/R/load_input_files.R                                                            |   15 +-
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 FAST.R-0.2.0/FAST.R/inst/extdata/plate-metadata.csv                                                 |   22 ++-
 FAST.R-0.2.0/FAST.R/inst/scripts/install_FASTR.R                                                    |    3 
 FAST.R-0.2.0/FAST.R/tests/testthat/setup.R                                                          |only
 FAST.R-0.2.0/FAST.R/tests/testthat/test-data_analysisServer.R                                       |   24 ---
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More information about FAST.R at CRAN
Permanent link

Package colorRamps updated to version 2.3.4 with previous version 2.3.2 dated 2024-03-04

Title: Builds Color Tables
Description: Builds gradient color maps.
Author: Tim Keitt [aut] , CRAN Team [ctb] , Gregory Jefferis [ctb, cre]
Maintainer: Gregory Jefferis <jefferis@gmail.com>

Diff between colorRamps versions 2.3.2 dated 2024-03-04 and 2.3.4 dated 2024-03-06

 DESCRIPTION |   30 ++++++++++++++++--------------
 MD5         |    2 +-
 2 files changed, 17 insertions(+), 15 deletions(-)

More information about colorRamps at CRAN
Permanent link

Package accessibility updated to version 1.4.0 with previous version 1.3.0 dated 2023-10-20

Title: Transport Accessibility Measures
Description: A set of fast and convenient functions to help conducting accessibility analyses. Given a pre-computed travel cost matrix and a land use dataset (containing the location of jobs, healthcare and population, for example), the package allows one to calculate accessibility levels and accessibility poverty and inequality. The package covers the majority of the most commonly used accessibility measures (such as cumulative opportunities, gravity-based and floating catchment areas methods), as well as the most frequently used inequality and poverty metrics (such as the Palma ratio, the concentration and Theil indices and the FGT family of measures).
Author: Rafael H. M. Pereira [aut] , Daniel Herszenhut [aut, cre] , Joey Reid [ctb], Ipea - Institute for Applied Economic Research [cph, fnd]
Maintainer: Daniel Herszenhut <dhersz@gmail.com>

Diff between accessibility versions 1.3.0 dated 2023-10-20 and 1.4.0 dated 2024-03-06

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Package betafunctions updated to version 1.9.0 with previous version 1.8.1 dated 2022-12-04

Title: Functions for Working with Two- And Four-Parameter Beta Probability Distributions and Psychometric Analysis of Classifications
Description: Package providing a number of functions for working with Two- and Four-parameter Beta and closely related distributions (i.e., the Gamma- Binomial-, and Beta-Binomial distributions). Includes, among other things: - d/p/q/r functions for Four-Parameter Beta distributions and Generalized "Binomial" (continuous) distributions, and d/p/r- functions for Beta- Binomial distributions. - d/p/q/r functions for Two- and Four-Parameter Beta distributions parameterized in terms of their means and variances rather than their shape-parameters. - Moment generating functions for Binomial distributions, Beta-Binomial distributions, and observed value distributions. - Functions for estimating classification accuracy and consistency, making use of the Classical Test-Theory based 'Livingston and Lewis' (L&L) and 'Hanson and Brennan' approaches. A shiny app is available, providing a GUI for the L&L approach when used for binary classifications. For url to the app, see documentation for the LL.CA() [...truncated...]
Author: Haakon Eidem Haakstad
Maintainer: Haakon Eidem Haakstad <h.e.haakstad@gmail.com>

Diff between betafunctions versions 1.8.1 dated 2022-12-04 and 1.9.0 dated 2024-03-06

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Package imf.data updated to version 0.1.5 with previous version 0.1.4 dated 2024-01-25

Title: An Interface to IMF (International Monetary Fund) Data JSON API
Description: A straightforward interface for accessing the IMF (International Monetary Fund) data JSON API, available at <https://data.imf.org/>. This package offers direct access to the primary API endpoints: Dataflow, DataStructure, and CompactData. And, it provides an intuitive interface for exploring available dimensions and attributes, as well as querying individual time-series datasets. Additionally, the package implements a rate limit on API calls to reduce the chances of exceeding service limits (limited to 10 calls every 5 seconds) and encountering response errors.
Author: Pedro Baltazar [aut, cre]
Maintainer: Pedro Baltazar <pedrobtz@gmail.com>

Diff between imf.data versions 0.1.4 dated 2024-01-25 and 0.1.5 dated 2024-03-06

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Package dropout updated to version 2.1.1 with previous version 2.1.0 dated 2023-09-28

Title: Handling Incomplete Responses in Survey Data Analysis
Description: Offers robust tools to identify and manage incomplete responses in survey datasets, thereby enhancing the quality and reliability of research findings.
Author: Hendrik Mann [aut, cre]
Maintainer: Hendrik Mann <hendrik.mann@uni-wuppertal.de>

Diff between dropout versions 2.1.0 dated 2023-09-28 and 2.1.1 dated 2024-03-06

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Package aws.wrfsmn updated to version 0.0.2 with previous version 0.0.1 dated 2024-02-09

Title: Data Processing of SMN Hi-Res Weather Forecast from 'AWS'
Description: Exploration of Weather Research & Forecasting ('WRF') Model data of Servicio Meteorologico Nacional (SMN) from Amazon Web Services (<https://registry.opendata.aws/smn-ar-wrf-dataset/>) cloud. The package provides the possibility of data downloading, processing and correction methods. It also has map management and series exploration of available meteorological variables of 'WRF' forecast.
Author: Gonzalo Diaz [cre, aut]
Maintainer: Gonzalo Diaz <gonzalomartindiaz22@gmail.com>

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Package accSDA updated to version 1.1.3 with previous version 1.1.2 dated 2022-09-05

Title: Accelerated Sparse Discriminant Analysis
Description: Implementation of sparse linear discriminant analysis, which is a supervised classification method for multiple classes. Various novel optimization approaches to this problem are implemented including alternating direction method of multipliers ('ADMM'), proximal gradient (PG) and accelerated proximal gradient ('APG') (See Atkins 'et al'. <arXiv:1705.07194>). Functions for performing cross validation are also supplied along with basic prediction and plotting functions. Sparse zero variance discriminant analysis ('SZVD') is also included in the package (See Ames and Hong, <arXiv:1401.5492>). See the 'github' wiki for a more extended description.
Author: Gudmundur Einarsson [aut, cre, trl], Line Clemmensen [aut, ths], Brendan Ames [aut], Summer Atkins [aut]
Maintainer: Gudmundur Einarsson <gumeo140688@gmail.com>

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Package periscope2 updated to version 0.2.3 with previous version 0.2.2 dated 2024-01-08

Title: Enterprise Streamlined 'shiny' Application Framework Using 'bs4Dash'
Description: A framework for building enterprise, scalable and UI-standardized 'shiny' applications. It brings enhanced features such as 'bootstrap' v4 <https://getbootstrap.com/docs/4.0/getting-started/introduction/>, additional and enhanced 'shiny' modules, customizable UI features, as well as an enhanced application file organization paradigm. This update allows developers to harness the ability to build powerful applications and enriches the 'shiny' developers' experience when building and maintaining applications.
Author: Mohammed Ali [aut, cre], Constance Brett [ctb], Aggregate Genius Inc [spn]
Maintainer: Mohammed Ali <mohammed@aggregate-genius.com>

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New package mappoly with initial version 0.4.1
Package: mappoly
Title: Genetic Linkage Maps in Autopolyploids
Version: 0.4.1
Maintainer: Marcelo Mollinari <mmollin@ncsu.edu>
Description: Construction of genetic maps in autopolyploid full-sib populations. Uses pairwise recombination fraction estimation as the first source of information to sequentially position allelic variants in specific homologous chromosomes. For situations where pairwise analysis has limited power, the algorithm relies on the multilocus likelihood obtained through a hidden Markov model (HMM). For more detail, please see Mollinari and Garcia (2019) <doi:10.1534/g3.119.400378> and Mollinari et al. (2020) <doi:10.1534/g3.119.400620>.
License: GPL-3
LazyData: TRUE
LazyDataCompression: xz
Depends: R (>= 4.0.0)
Imports: Rcpp (>= 0.12.6), RcppParallel, RCurl, fields, ggpubr, ggsci, rstudioapi, plot3D, dplyr, crayon, cli, magrittr, reshape2, ggplot2, smacof, princurve, dendextend, vcfR, zoo, plotly
LinkingTo: Rcpp, RcppParallel
SystemRequirements: GNU make
Encoding: UTF-8
Suggests: testthat, updog, fitPoly, polymapR, AGHmatrix, gatepoints, knitr, rmarkdown, stringr
URL: https://github.com/mmollina/MAPpoly
BugReports: https://github.com/mmollina/MAPpoly/issues
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-03-06 03:10:56 UTC; mmollin
Author: Marcelo Mollinari [aut, cre] , Gabriel Gesteira [aut] , Cristiane Taniguti [aut] , Jeekin Lau [aut] , Oscar Riera-Lizarazu [ctb] , Guilhereme Pereira [ctb] , Augusto Garcia [ctb] , Zhao-Bang Zeng [ctb] , Katharine Preedy [ctb, cph] , Robert Gentleman [...truncated...]
Repository: CRAN
Date/Publication: 2024-03-06 17:20:02 UTC

More information about mappoly at CRAN
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Package GENEAread updated to version 2.0.10 with previous version 2.0.9 dated 2020-11-25

Title: Package for Reading Binary Files
Description: Functions and analytics for GENEA-compatible accelerometer data into R objects. See topic 'GENEAread' for an introduction to the package. See <https://activinsights.com/technology/geneactiv/> for more details on the GENEActiv device.
Author: Zhou Fang [aut], Joss Langford [aut], Charles Sweetland [aut], Jia Ying Chua [aut, cre]
Maintainer: Jia Ying Chua <jiayingc@activinsights.com>

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Package cols4all updated to version 0.7 with previous version 0.6 dated 2023-02-02

Title: Colors for all
Description: Color palettes for all people, including those with color vision deficiency. Popular color palette series have been organized by type and have been scored on several properties such as color-blind-friendliness and fairness (i.e. do colors stand out equally?). Own palettes can also be loaded and analysed. Besides the common palette types (categorical, sequential, and diverging) it also includes bivariate color palettes. Furthermore, a color for missing values is assigned to each palette.
Author: Martijn Tennekes [aut, cre], Marco Puts [ctb], Achim Zeileis [ctb], Jakub Nowosad [ctb], Robin Lovelace [ctb], Helgasoft [ctb], Matthew Petroff [ctb], Olivier Roy [ctb]
Maintainer: Martijn Tennekes <mtennekes@gmail.com>

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Package quarto updated to version 1.4 with previous version 1.3 dated 2023-09-19

Title: R Interface to 'Quarto' Markdown Publishing System
Description: Convert R Markdown documents and 'Jupyter' notebooks to a variety of output formats using 'Quarto'.
Author: JJ Allaire [aut] , Christophe Dervieux [cre, aut] , Posit Software, PBC [cph, fnd]
Maintainer: Christophe Dervieux <cderv@posit.co>

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Package procs updated to version 1.0.6 with previous version 1.0.5 dated 2024-01-20

Title: Recreates Some 'SAS®' Procedures in 'R'
Description: Contains functions to simulate the most commonly used 'SAS®' procedures. Specifically, the package aims to simulate the functionality of 'proc freq', 'proc means', 'proc ttest', 'proc reg', 'proc transpose', 'proc sort', and 'proc print'. The simulation will include recreating all statistics with the highest fidelity possible.
Author: David Bosak [aut, cre], Kevin Kramer [ctb], Brian Varney [ctb], Duong Tran [ctb], Yifei Chen [ctb]
Maintainer: David Bosak <dbosak01@gmail.com>

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Package gmodels updated to version 2.19.1 with previous version 2.18.1.1 dated 2022-05-17

Title: Various R Programming Tools for Model Fitting
Description: Various R programming tools for model fitting.
Author: Gregory R. Warnes [aut, cre], Ben Bolker [aut], Thomas Lumley [aut], Randall C. Johnson [aut] SAIC-Frederick, Inc. Funded by the Intramural Research Program, of the NIH, National Cancer Institute, Center for Cancer Research under NCI Contract NO1-CO [...truncated...]
Maintainer: Gregory R. Warnes <greg@warnes.net>

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Package FastRCS updated to version 0.0.9 with previous version 0.0.8 dated 2018-05-13

Title: Fits the FastRCS Robust Multivariable Linear Regression Model
Description: The FastRCS algorithm of Vakili and Schmitt (2014) for robust fit of the multivariable linear regression model and outliers detection.
Author: Kaveh Vakili [aut, cre]
Maintainer: Kaveh Vakili <vakili.kaveh.email@gmail.com>

Diff between FastRCS versions 0.0.8 dated 2018-05-13 and 0.0.9 dated 2024-03-06

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Package stringmagic updated to version 1.1.0 with previous version 1.0.0 dated 2023-08-28

Title: Character String Operations and Interpolation, Magic Edition
Description: Performs complex string operations compactly and efficiently. Supports string interpolation jointly with over 50 string operations. Also enhances regular string functions (like grep() and co). See an introduction at <https://lrberge.github.io/stringmagic/>.
Author: Laurent R Berge [aut, cre] , Morgan Jacob [ctb]
Maintainer: Laurent R Berge <laurent.berge@u-bordeaux.fr>

Diff between stringmagic versions 1.0.0 dated 2023-08-28 and 1.1.0 dated 2024-03-06

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Package spocc updated to version 1.2.3 with previous version 1.2.2 dated 2023-03-23

Title: Interface to Species Occurrence Data Sources
Description: A programmatic interface to many species occurrence data sources, including Global Biodiversity Information Facility ('GBIF'), 'iNaturalist', 'eBird', Integrated Digitized 'Biocollections' ('iDigBio'), 'VertNet', Ocean 'Biogeographic' Information System ('OBIS'), and Atlas of Living Australia ('ALA'). Includes functionality for retrieving species occurrence data, and combining those data.
Author: Hannah Owens [aut, cre] , Vijay Barve [aut] , Scott Chamberlain [aut] , Karthik Ram [ctb], Ted Hart [ctb], rOpenSci [fnd]
Maintainer: Hannah Owens <hannah.owens@gmail.com>

Diff between spocc versions 1.2.2 dated 2023-03-23 and 1.2.3 dated 2024-03-06

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Package scoringTools updated to version 0.1.3 with previous version 0.1.2 dated 2021-01-10

Title: Credit Scoring Tools
Description: Grouping essential tools for credit scoring. These statistical tools may be useful for other use-cases as well but were primarily designed for it. First, there are Reject Inference methods (Ehrhardt et al. (2017) <arXiv:1903.10855>). Second, we build upon the already CRAN-available package 'discretization' to automate discretization of continuous features.
Author: Adrien Ehrhardt [aut, cre]
Maintainer: Adrien Ehrhardt <adrien.ehrhardt@centraliens-lille.org>

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Package FastPCS updated to version 0.1.4 with previous version 0.1.3 dated 2018-05-22

Title: FastPCS Robust Fit of Multivariate Location and Scatter
Description: The FastPCS algorithm of Vakili and Schmitt (2014) <doi:10.1016/j.csda.2013.07.021> for robust estimation of multivariate location and scatter and multivariate outliers detection.
Author: Kaveh Vakili [aut, cre]
Maintainer: Kaveh Vakili <vakili.kaveh.email@gmail.com>

Diff between FastPCS versions 0.1.3 dated 2018-05-22 and 0.1.4 dated 2024-03-06

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New package effClust with initial version 0.8.0
Package: effClust
Title: Calculate Effective Number of Clusters for a Linear Model
Version: 0.8.0
Description: Calculates the (approximate) effective number of clusters for a regression model, as described in Carter, Schnepel, and Steigerwald (2017) <doi:10.1162/REST_a_00639>. The effective number of clusters is a statistic to assess the reliability of asymptotic inference when sampling or treatment assignment is clustered. Methods are implemented for stats::lm(), plm::plm(), and fixest::feols(). There is also a formula method.
Depends: R (>= 3.5.0)
Suggests: plm, data.table
Imports: fixest, stats
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-03-04 16:31:26 UTC; joe
Author: Joe Ritter [aut, cre]
Maintainer: Joe Ritter <R-effclust@proton.me>
Repository: CRAN
Date/Publication: 2024-03-06 14:30:02 UTC

More information about effClust at CRAN
Permanent link

Package cheapr updated to version 0.2.0 with previous version 0.1.0 dated 2024-03-05

Title: Simple Functions to Save Time and Memory
Description: Fast and memory-efficient (or 'cheap') tools to facilitate efficient programming, saving time and memory. It aims to provide 'cheaper' alternatives to common base R functions, as well as some additional functions.
Author: Nick Christofides [aut, cre]
Maintainer: Nick Christofides <nick.christofides.r@gmail.com>

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More information about cheapr at CRAN
Permanent link

Package bayess updated to version 1.6 with previous version 1.5 dated 2022-08-11

Title: Bayesian Essentials with R
Description: Allows the reenactment of the R programs used in the book Bayesian Essentials with R without further programming. R code being available as well, they can be modified by the user to conduct one's own simulations. Marin J.-M. and Robert C. P. (2014) <doi:10.1007/978-1-4614-8687-9>.
Author: Jean-Michel Marin [aut, cre], Christian P. Robert [aut]
Maintainer: Jean-Michel Marin <jean-michel.marin@umontpellier.fr>

Diff between bayess versions 1.5 dated 2022-08-11 and 1.6 dated 2024-03-06

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More information about bayess at CRAN
Permanent link

Package prrd updated to version 0.0.6 with previous version 0.0.5 dated 2021-09-22

Title: Parallel Runs of Reverse Depends
Description: Reverse depends for a given package are queued such that multiple workers can run the reverse-dependency tests in parallel.
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between prrd versions 0.0.5 dated 2021-09-22 and 0.0.6 dated 2024-03-06

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More information about prrd at CRAN
Permanent link

Package makemyprior updated to version 1.2.0 with previous version 1.1.0 dated 2022-03-14

Title: Intuitive Construction of Joint Priors for Variance Parameters
Description: Tool for easy prior construction and visualization. It helps to formulates joint prior distributions for variance parameters in latent Gaussian models. The resulting prior is robust and can be created in an intuitive way. A graphical user interface (GUI) can be used to choose the joint prior, where the user can click through the model and select priors. An extensive guide is available in the GUI. The package allows for direct inference with the specified model and prior. Using a hierarchical variance decomposition, we formulate a joint variance prior that takes the whole model structure into account. In this way, existing knowledge can intuitively be incorporated at the level it applies to. Alternatively, one can use independent variance priors for each model components in the latent Gaussian model.
Author: Ingeborg Hem [cre, aut], Geir-Arne Fuglstad [aut], Andrea Riebler [aut]
Maintainer: Ingeborg Hem <ingeborg.hem@ntnu.no>

Diff between makemyprior versions 1.1.0 dated 2022-03-14 and 1.2.0 dated 2024-03-06

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Permanent link

Package hydraulics updated to version 0.7.0 with previous version 0.6.1 dated 2022-12-06

Title: Basic Pipe and Open Channel Hydraulics
Description: Functions for basic hydraulic calculations related to water flow in circular pipes both flowing full (under pressure), and partially full (gravity flow), and trapezoidal open channels. For pressure flow this includes friction loss calculations by solving the Darcy-Weisbach equation for head loss, flow or diameter, plotting a Moody diagram, matching a pump characteristic curve to a system curve, and solving for flows in a pipe network using the Hardy-Cross method. The Darcy-Weisbach friction factor is calculated using the Colebrook (or Colebrook-White equation), the basis of the Moody diagram, the original citation being Colebrook (1939) <doi:10.1680/ijoti.1939.13150>. For gravity flow, the Manning equation is used, again solving for missing parameters. The derivation of and solutions using the Darcy-Weisbach equation and the Manning equation are outlined in many fluid mechanics texts such as Finnemore and Maurer (2024, ISBN:978-1-264-78729-6). Some gradually- and rapidly-varied f [...truncated...]
Author: Ed Maurer [aut, cre], Irucka Embry [aut, ctb]
Maintainer: Ed Maurer <emaurer@scu.edu>

Diff between hydraulics versions 0.6.1 dated 2022-12-06 and 0.7.0 dated 2024-03-06

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More information about hydraulics at CRAN
Permanent link

Package glmtree updated to version 0.3.1 with previous version 0.2 dated 2020-10-03

Title: Logistic Regression Trees
Description: A logistic regression tree is a decision tree with logistic regressions at its leaves. A particular stochastic expectation maximization algorithm is used to draw a few good trees, that are then assessed via the user's criterion of choice among BIC / AIC / test set Gini. The formal development is given in a PhD chapter, see Ehrhardt (2019) <https://github.com/adimajo/manuscrit_these/releases/>.
Author: Adrien Ehrhardt [aut, cre]
Maintainer: Adrien Ehrhardt <adrien.ehrhardt@centraliens-lille.org>

Diff between glmtree versions 0.2 dated 2020-10-03 and 0.3.1 dated 2024-03-06

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More information about glmtree at CRAN
Permanent link

Package flextable updated to version 0.9.5 with previous version 0.9.4 dated 2023-10-22

Title: Functions for Tabular Reporting
Description: Use a grammar for creating and customizing pretty tables. The following formats are supported: 'HTML', 'PDF', 'RTF', 'Microsoft Word', 'Microsoft PowerPoint' and R 'Grid Graphics'. 'R Markdown', 'Quarto' and the package 'officer' can be used to produce the result files. The syntax is the same for the user regardless of the type of output to be produced. A set of functions allows the creation, definition of cell arrangement, addition of headers or footers, formatting and definition of cell content with text and or images. The package also offers a set of high-level functions that allow tabular reporting of statistical models and the creation of complex cross tabulations.
Author: David Gohel [aut, cre], ArData [cph], Clementine Jager [ctb], Panagiotis Skintzos [aut], Quentin Fazilleau [ctb], Maxim Nazarov [ctb] , Titouan Robert [ctb], Michael Barrowman [ctb] , Atsushi Yasumoto [ctb] , Paul Julian [ctb] , Sean Browning [ctb] , [...truncated...]
Maintainer: David Gohel <david.gohel@ardata.fr>

Diff between flextable versions 0.9.4 dated 2023-10-22 and 0.9.5 dated 2024-03-06

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Package ageutils updated to version 0.0.2 with previous version 0.0.1 dated 2023-01-09

Title: Collection of Functions for Working with Age Intervals
Description: Provides a collection of efficient functions for working with individual ages and corresponding intervals. These include functions for conversion from an age to an interval, aggregation of ages with associated counts in to intervals and the splitting of interval counts based on specified age distributions.
Author: Tim Taylor [aut, cre, cph] , Edwin van Leeuwen [ctb]
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>

Diff between ageutils versions 0.0.1 dated 2023-01-09 and 0.0.2 dated 2024-03-06

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Package cobs updated to version 1.3-8 with previous version 1.3-7 dated 2024-02-03

Title: Constrained B-Splines (Sparse Matrix Based)
Description: Qualitatively Constrained (Regression) Smoothing Splines via Linear Programming and Sparse Matrices.
Author: Pin T. Ng <Pin.Ng@nau.edu> and Martin Maechler
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

Diff between cobs versions 1.3-7 dated 2024-02-03 and 1.3-8 dated 2024-03-06

 ChangeLog                    |    8 ++++++++
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Package miniPCH updated to version 0.3.2 with previous version 0.3.1 dated 2023-11-30

Title: Survival Distributions with Piece-Wise Constant Hazards
Description: Density, distribution function, ... hazard function, cumulative hazard function, survival function for survival distributions with piece-wise constant hazards and multiple states.
Author: Tobias Fellinger [aut, cre] , Florian Klinglmueller [aut]
Maintainer: Tobias Fellinger <tobias.fellinger@ages.at>

Diff between miniPCH versions 0.3.1 dated 2023-11-30 and 0.3.2 dated 2024-03-06

 DESCRIPTION                      |    6 +++---
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Package tm.plugin.alceste updated to version 1.1.1 with previous version 1.1 dated 2014-06-11

Title: Import Texts from Files in the 'Alceste' Format Using the 'tm' Text Mining Framework
Description: Provides a 'tm' Source to create corpora from a corpus prepared in the format used by the 'Alceste' application (i.e. a single text file with inline meta-data). It is able to import both text contents and meta-data (starred) variables.
Author: Milan Bouchet-Valat [aut, cre]
Maintainer: Milan Bouchet-Valat <nalimilan@club.fr>

Diff between tm.plugin.alceste versions 1.1 dated 2014-06-11 and 1.1.1 dated 2024-03-06

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Package GenBinomApps updated to version 1.2.1 with previous version 1.2 dated 2022-06-21

Title: Clopper-Pearson Confidence Interval and Generalized Binomial Distribution
Description: Density, distribution function, quantile function and random generation for the Generalized Binomial Distribution. Functions to compute the Clopper-Pearson Confidence Interval and the required sample size. Enhanced model for burn-in studies, where failures are tackled by countermeasures.
Author: Horst Lewitschnig, David Lenzi
Maintainer: Horst Lewitschnig <Horst.Lewitschnig@infineon.com>

Diff between GenBinomApps versions 1.2 dated 2022-06-21 and 1.2.1 dated 2024-03-06

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Package shinyTempSignal updated to version 0.0.8 with previous version 0.0.7 dated 2024-02-20

Title: Explore Temporal and Other Phylogenetic Signals
Description: Sequences sampled at different time points can be used to infer molecular phylogenies on natural time scales, but if the sequences records inaccurate sampling times, that are not the actual sampling times, then it will affect the molecular phylogenetic analysis. This shiny application helps exploring temporal characteristics of the evolutionary trees through linear regression analysis and with the ability to identify and remove incorrect labels. The method was extended to support exploring other phylogenetic signals under strict and relaxed models.
Author: Guangchuang Yu [aut, cre, cph] , Xiao Luo [ctb], Li Zhan [ctb], Xuanan Zhu [ctb], Jianfeng Lin [ctb]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

Diff between shinyTempSignal versions 0.0.7 dated 2024-02-20 and 0.0.8 dated 2024-03-06

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Package RcmdrPlugin.HH updated to version 1.1-50 with previous version 1.1-47 dated 2018-05-10

Title: Rcmdr Support for the HH Package
Description: Rcmdr menu support for many of the functions in the HH package. The focus is on menu items for functions we use in our introductory courses.
Author: Richard M. Heiberger, with contributions from Burt Holland
Maintainer: Richard M. Heiberger <rmh@temple.edu>

Diff between RcmdrPlugin.HH versions 1.1-47 dated 2018-05-10 and 1.1-50 dated 2024-03-06

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Package RcmdrPlugin.BWS3 updated to version 0.2-2 with previous version 0.2-1 dated 2023-12-06

Title: R Commander Plug-in for Case 3 Best-Worst Scaling
Description: Adds menu items for case 3 (multi-profile) best-worst scaling (BWS3) to the R Commander. BWS3 is a question-based survey method that designs various combinations of attribute levels (profiles), asks respondents to select the best and worst profiles in each choice set, and then measures preferences for the attribute levels by analyzing the responses. For details on BWS3, refer to Louviere et al. (2015) <doi:10.1017/CBO9781107337855>.
Author: Hideo Aizaki
Maintainer: Hideo Aizaki <azk-r@spa.nifty.com>

Diff between RcmdrPlugin.BWS3 versions 0.2-1 dated 2023-12-06 and 0.2-2 dated 2024-03-06

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Package RcmdrPlugin.BWS2 updated to version 0.2-1 with previous version 0.2-0 dated 2023-12-04

Title: R Commander Plug-in for Case 2 Best-Worst Scaling
Description: Adds menu items for case 2 (profile case) best-worst scaling (BWS2) to the R Commander. BWS2 is a question-based survey method that constructs profiles (combinations of attribute levels) using an orthogonal array, asks respondents to select the best and worst levels in each profile, and measures preferences for attribute levels by analyzing the responses. For details, see Aizaki and Fogarty (2019) <doi:10.1016/j.jocm.2019.100171>.
Author: Hideo Aizaki
Maintainer: Hideo Aizaki <azk-r@spa.nifty.com>

Diff between RcmdrPlugin.BWS2 versions 0.2-0 dated 2023-12-04 and 0.2-1 dated 2024-03-06

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Package RcmdrPlugin.DCE updated to version 0.2-2 with previous version 0.2-1 dated 2023-12-06

Title: R Commander Plug-in for Discrete Choice Experiments
Description: Adds menu items for discrete choice experiments (DCEs) to the R Commander. DCE is a question-based survey method that designs various combinations (profiles) of attribute levels using the experimental designs, asks respondents to select the most preferred profile in each choice set, and then measures preferences for the attribute levels by analyzing the responses. For details on DCEs, refer to Louviere et al. (2000) <doi:10.1017/CBO9780511753831>.
Author: Hideo Aizaki
Maintainer: Hideo Aizaki <azk-r@spa.nifty.com>

Diff between RcmdrPlugin.DCE versions 0.2-1 dated 2023-12-06 and 0.2-2 dated 2024-03-06

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Package RcmdrPlugin.BWS1 updated to version 0.2-1 with previous version 0.2-0 dated 2023-12-05

Title: R Commander Plug-in for Case 1 Best-Worst Scaling
Description: Adds menu items to the R Commander for implementing case 1 (object case) best-worst scaling (BWS1) from designing choice sets to measuring preferences for items. BWS1 is a question-based survey method that constructs various combinations of items (choice sets) using the experimental designs, asks respondents to select the best and worst items in each choice set, and then measures preferences for the items by analyzing the responses. For details on BWS1, refer to Louviere et al. (2015) <doi:10.1017/CBO9781107337855>.
Author: Hideo Aizaki
Maintainer: Hideo Aizaki <azk-r@spa.nifty.com>

Diff between RcmdrPlugin.BWS1 versions 0.2-0 dated 2023-12-05 and 0.2-1 dated 2024-03-06

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