Tue, 23 Jan 2024

Package spacesRGB updated to version 1.5-0 with previous version 1.4-0 dated 2021-12-06

Title: Standard and User-Defined RGB Color Spaces, with Conversion Between RGB and CIE XYZ
Description: Standard RGB spaces included are sRGB, 'Adobe' RGB, 'ProPhoto' RGB, BT.709, and others. User-defined RGB spaces are also possible. There is partial support for ACES Color workflows.
Author: Glenn Davis [aut,cre]
Maintainer: Glenn Davis <gdavis@gluonics.com>

Diff between spacesRGB versions 1.4-0 dated 2021-12-06 and 1.5-0 dated 2024-01-23

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Package longpower updated to version 1.0.25 with previous version 1.0.24 dated 2023-01-11

Title: Sample Size Calculations for Longitudinal Data
Description: Compute power and sample size for linear models of longitudinal data. Supported models include mixed-effects models and models fit by generalized least squares and generalized estimating equations. The package is described in Iddi and Donohue (2022) <DOI:10.32614/RJ-2022-022>. Relevant formulas are derived by Liu and Liang (1997) <DOI:10.2307/2533554>, Diggle et al (2002) <ISBN:9780199676750>, and Lu, Luo, and Chen (2008) <DOI:10.2202/1557-4679.1098>.
Author: Michael C. Donohue [aut, cre], Steve D. Edland [ctb], Nan Hu [ctb]
Maintainer: Michael C. Donohue <mdonohue@usc.edu>

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Package ModTools updated to version 0.9.6 with previous version 0.9.4 dated 2021-07-26

Title: Tools for Building Regression and Classification Models
Description: Collection of tools for regression and classification tasks. The package implements a consistent user interface to the most popular regression and classification algorithms, such as random forest, neural networks, C5 trees and support vector machines, and complements it with a handful of auxiliary functions, such as variable importance and a tuning function for the parameters.
Author: Andri Signorell [aut, cre], Bernhard Compton [ctb], Marcel Dettling [ctb], Alexandre Hainard [ctb], Max Kuhn [ctb], Frederique Lisacek [ctb], Michal Majka [ctb], Markus Mueller [ctb], Dan Putler [ctb], Jean-Charles Sanchez [ctb], Natalia Tiberti [ctb] [...truncated...]
Maintainer: Andri Signorell <andri@signorell.net>

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Package DataExplorer updated to version 0.8.3 with previous version 0.8.2 dated 2020-12-15

Title: Automate Data Exploration and Treatment
Description: Automated data exploration process for analytic tasks and predictive modeling, so that users could focus on understanding data and extracting insights. The package scans and analyzes each variable, and visualizes them with typical graphical techniques. Common data processing methods are also available to treat and format data.
Author: Boxuan Cui [aut, cre]
Maintainer: Boxuan Cui <boxuancui@gmail.com>

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Package msSPChelpR updated to version 0.9.1 with previous version 0.9.0 dated 2022-06-10

Title: Helper Functions for Second Primary Cancer Analyses
Description: A collection of helper functions for analyzing Second Primary Cancer data, including functions to reshape data, to calculate patient states and analyze cancer incidence.
Author: Marian Eberl [aut, cre]
Maintainer: Marian Eberl <marian.eberl@tum.de>

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Package emmeans updated to version 1.10.0 with previous version 1.9.0 dated 2023-12-18

Title: Estimated Marginal Means, aka Least-Squares Means
Description: Obtain estimated marginal means (EMMs) for many linear, generalized linear, and mixed models. Compute contrasts or linear functions of EMMs, trends, and comparisons of slopes. Plots and other displays. Least-squares means are discussed, and the term "estimated marginal means" is suggested, in Searle, Speed, and Milliken (1980) Population marginal means in the linear model: An alternative to least squares means, The American Statistician 34(4), 216-221 <doi:10.1080/00031305.1980.10483031>.
Author: Russell V. Lenth [aut, cre, cph], Ben Bolker [ctb], Paul Buerkner [ctb], Iago Gine-Vazquez [ctb], Maxime Herve [ctb], Maarten Jung [ctb], Jonathon Love [ctb], Fernando Miguez [ctb], Hannes Riebl [ctb], Henrik Singmann [ctb]
Maintainer: Russell V. Lenth <russell-lenth@uiowa.edu>

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Package TCGAretriever updated to version 1.9.1 with previous version 1.7 dated 2023-07-10

Title: Retrieve Genomic and Clinical Data from CBioPortal Including TCGA Data
Description: The Cancer Genome Atlas (TCGA) is a program aimed at improving our understanding of Cancer Biology. Several TCGA Datasets are available online. 'TCGAretriever' helps accessing and downloading TCGA data hosted on 'cBioPortal' via its Web Interface (see <https://www.cbioportal.org/> for more information).
Author: Damiano Fantini
Maintainer: Damiano Fantini <damiano.fantini@gmail.com>

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Package robflreg updated to version 1.2 with previous version 1.1 dated 2023-01-10

Title: Robust Functional Linear Regression
Description: Functions for implementing robust methods for functional linear regression. In the functional linear regression, we consider scalar-on-function linear regression and function-on-function linear regression. More details, see Beyaztas, U., and Shang, H. L. (2021) <arXiv:2111.01238> and Beyaztas, U., and Shang, H. L. (2022) <arXiv:2203.05065>.
Author: Ufuk Beyaztas [aut, cre, cph] , Han Lin Shang [aut]
Maintainer: Ufuk Beyaztas <ufukbeyaztas@gmail.com>

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Package GMDHreg updated to version 0.2.3 with previous version 0.2.2 dated 2021-07-05

Title: Regression using GMDH Algorithms
Description: Regression using GMDH algorithms from Prof. Alexey G. Ivakhnenko. Group Method of Data Handling (GMDH), or polynomial neural networks, is a family of inductive algorithms that performs gradually complicated polynomial models and selecting the best solution by an external criterion. In other words, inductive GMDH algorithms give possibility finding automatically interrelations in data, and selecting an optimal structure of model or network. The package includes GMDH Combinatorial, GMDH MIA (Multilayered Iterative Algorithm), GMDH GIA (Generalized Iterative Algorithm) and GMDH Combinatorial with Active Neurons.
Author: Manuel Villacorta Tilve
Maintainer: Manuel Villacorta Tilve <mvt.oviedo@gmail.com>

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Package ggh4x updated to version 0.2.8 with previous version 0.2.7 dated 2023-12-22

Title: Hacks for 'ggplot2'
Description: A 'ggplot2' extension that does a variety of little helpful things. The package extends 'ggplot2' facets through customisation, by setting individual scales per panel, resizing panels and providing nested facets. Also allows multiple colour and fill scales per plot. Also hosts a smaller collection of stats, geoms and axis guides.
Author: Teun van den Brand [aut, cre]
Maintainer: Teun van den Brand <tahvdbrand@gmail.com>

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Package ggdemetra updated to version 0.2.7 with previous version 0.2.6 dated 2023-10-04

Title: 'ggplot2' Extension for Seasonal and Trading Day Adjustment with 'RJDemetra'
Description: Provides 'ggplot2' functions to return the results of seasonal and trading day adjustment made by 'RJDemetra'. 'RJDemetra' is an 'R' interface around 'JDemetra+' (<https://github.com/jdemetra/jdemetra-app>), the seasonal adjustment software officially recommended to the members of the European Statistical System and the European System of Central Banks.
Author: Alain Quartier-la-Tente [aut, cre]
Maintainer: Alain Quartier-la-Tente <alain.quartier@yahoo.fr>

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Package fungible updated to version 2.4.2 with previous version 2.3 dated 2023-03-19

Title: Psychometric Functions from the Waller Lab
Description: Computes fungible coefficients and Monte Carlo data. Underlying theory for these functions is described in the following publications: Waller, N. (2008). Fungible Weights in Multiple Regression. Psychometrika, 73(4), 691-703, <DOI:10.1007/s11336-008-9066-z>. Waller, N. & Jones, J. (2009). Locating the Extrema of Fungible Regression Weights. Psychometrika, 74(4), 589-602, <DOI:10.1007/s11336-008-9087-7>. Waller, N. G. (2016). Fungible Correlation Matrices: A Method for Generating Nonsingular, Singular, and Improper Correlation Matrices for Monte Carlo Research. Multivariate Behavioral Research, 51(4), 554-568. Jones, J. A. & Waller, N. G. (2015). The normal-theory and asymptotic distribution-free (ADF) covariance matrix of standardized regression coefficients: theoretical extensions and finite sample behavior. Psychometrika, 80, 365-378, <DOI:10.1007/s11336-013-9380-y>. Waller, N. G. (2018). Direct Schmid-Leiman transformations and rank-deficient loadings mat [...truncated...]
Author: Niels Waller [aut, cre], Justin Kracht [ctb], Jeff Jones [ctb], Casey Giordano [ctb], Hoang V. Nguyen [ctb]
Maintainer: Niels Waller <nwaller@umn.edu>

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Package MareyMap updated to version 1.3.7 with previous version 1.3.6 dated 2020-12-04

Title: Estimation of Meiotic Recombination Rates Using Marey Maps
Description: Local recombination rates are graphically estimated across a genome using Marey maps.
Author: Aurelie Siberchicot, Clement Rezvoy, Delphine Charif, Laurent Gueguen and Gabriel Marais
Maintainer: Aurelie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>

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Package mapSpain updated to version 0.9.0 with previous version 0.8.0 dated 2023-07-12

Title: Administrative Boundaries of Spain
Description: Administrative Boundaries of Spain at several levels (Autonomous Communities, Provinces, Municipalities) based on the 'GISCO' 'Eurostat' database <https://ec.europa.eu/eurostat/web/gisco> and 'CartoBase SIANE' from 'Instituto Geografico Nacional' <https://www.ign.es/>. It also provides a 'leaflet' plugin and the ability of downloading and processing static tiles.
Author: Diego Hernangomez [aut, cre, cph]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

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Package jagsUI updated to version 1.6.1 with previous version 1.5.2 dated 2021-06-18

Title: A Wrapper Around 'rjags' to Streamline 'JAGS' Analyses
Description: A set of wrappers around 'rjags' functions to run Bayesian analyses in 'JAGS' (specifically, via 'libjags'). A single function call can control adaptive, burn-in, and sampling MCMC phases, with MCMC chains run in sequence or in parallel. Posterior distributions are automatically summarized (with the ability to exclude some monitored nodes if desired) and functions are available to generate figures based on the posteriors (e.g., predictive check plots, traceplots). Function inputs, argument syntax, and output format are nearly identical to the 'R2WinBUGS'/'R2OpenBUGS' packages to allow easy switching between MCMC samplers.
Author: Ken Kellner [cre, aut], Mike Meredith [ctb]
Maintainer: Ken Kellner <contact@kenkellner.com>

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Package crmPack updated to version 1.0.4 with previous version 1.0.3 dated 2022-09-02

Title: Object-Oriented Implementation of CRM Designs
Description: Implements a wide range of model-based dose escalation designs, ranging from classical and modern continual reassessment methods (CRMs) based on dose-limiting toxicity endpoints to dual-endpoint designs taking into account a biomarker/efficacy outcome. The focus is on Bayesian inference, making it very easy to setup a new design with its own JAGS code. However, it is also possible to implement 3+3 designs for comparison or models with non-Bayesian estimation. The whole package is written in a modular form in the S4 class system, making it very flexible for adaptation to new models, escalation or stopping rules.
Author: Daniel Sabanes Bove [aut, cre], Wai Yin Yeung [aut], Giuseppe Palermo [aut], Thomas Jaki [aut]
Maintainer: Daniel Sabanes Bove <daniel.sabanes_bove@roche.com>

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Package changepointsVar updated to version 0.1.1 with previous version 0.1.0 dated 2018-01-10

Title: Change-Points Detections for Changes in Variance
Description: Detection of change-points for variance of heteroscedastic Gaussian variables with piecewise constant variance function. Adelfio, G. (2012), Change-point detection for variance piecewise constant models, Communications in Statistics, Simulation and Computation, 41:4, 437-448, <doi:10.1080/03610918.2011.592248>.
Author: Gianluca Sottile [cre], Giada Adelfio [aut]
Maintainer: Gianluca Sottile <gianluca.sottile@unipa.it>

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Package Rsurrogate updated to version 3.2 with previous version 3.1 dated 2021-11-14

Title: Robust Estimation of the Proportion of Treatment Effect Explained by Surrogate Marker Information
Description: Provides functions to estimate the proportion of treatment effect on the primary outcome that is explained by the treatment effect on the surrogate marker.
Author: Layla Parast
Maintainer: Layla Parast <parast@austin.utexas.edu>

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Package plspm updated to version 0.5.1 with previous version 0.5.0 dated 2023-03-13

Title: Partial Least Squares Path Modeling (PLS-PM)
Description: Partial Least Squares Path Modeling (PLS-PM), Tenenhaus, Esposito Vinzi, Chatelin, Lauro (2005) <doi:10.1016/j.csda.2004.03.005>, analysis for both metric and non-metric data, as well as REBUS analysis, Esposito Vinzi, Trinchera, Squillacciotti, and Tenenhaus (2008) <doi:10.1002/asmb.728>.
Author: Frederic Bertrand [cre] , Gaston Sanchez [aut], Laura Trinchera [aut], Giorgio Russolillo [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@utt.fr>

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Package ndi updated to version 0.1.5 with previous version 0.1.4 dated 2023-02-01

Title: Neighborhood Deprivation Indices
Description: Computes various metrics of socio-economic deprivation and disparity in the United States. Some metrics are considered "spatial" because they consider the values of neighboring (i.e., adjacent) census geographies in their computation, while other metrics are "aspatial" because they only consider the value within each census geography. Two types of aspatial neighborhood deprivation indices (NDI) are available: including: (1) based on Messer et al. (2006) <doi:10.1007/s11524-006-9094-x> and (2) based on Andrews et al. (2020) <doi:10.1080/17445647.2020.1750066> and Slotman et al. (2022) <doi:10.1016/j.dib.2022.108002> who use variables chosen by Roux and Mair (2010) <doi:10.1111/j.1749-6632.2009.05333.x>. Both are a decomposition of multiple demographic characteristics from the U.S. Census Bureau American Community Survey 5-year estimates (ACS-5; 2006-2010 onward). Using data from the ACS-5 (2005-2009 onward), the package can also (1) compute the spatial Racial Iso [...truncated...]
Author: Ian D. Buller [aut, cre, cph] , NCI [cph, fnd]
Maintainer: Ian D. Buller <ian.buller@alumni.emory.edu>

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Package httptest updated to version 4.2.2 with previous version 4.2.1 dated 2023-06-12

Title: A Test Environment for HTTP Requests
Description: Testing and documenting code that communicates with remote servers can be painful. Dealing with authentication, server state, and other complications can make testing seem too costly to bother with. But it doesn't need to be that hard. This package enables one to test all of the logic on the R sides of the API in your package without requiring access to the remote service. Importantly, it provides three contexts that mock the network connection in different ways, as well as testing functions to assert that HTTP requests were---or were not---made. It also allows one to safely record real API responses to use as test fixtures. The ability to save responses and load them offline also enables one to write 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 warbleR updated to version 1.1.30 with previous version 1.1.29 dated 2023-09-05

Title: Streamline Bioacoustic Analysis
Description: Functions aiming to facilitate the analysis of the structure of animal acoustic signals in 'R'. 'warbleR' makes use of the basic sound analysis tools from the package 'seewave', and offers new tools for acoustic structure analysis. The main features of the package are the use of loops to apply tasks through acoustic signals referenced in a selection (annotation) table and the production of spectrograms in image files that allow to organize data and verify acoustic analyzes. The package offers functions to explore, organize and manipulate multiple sound files, explore and download 'Xeno-Canto' recordings, detect signals automatically, create spectrograms of complete recordings or individual signals, run different measures of acoustic signal structure, evaluate the performance of measurement methods, catalog signals, characterize different structural levels in acoustic signals, run statistical analysis of duet coordination and consolidate databases and annotation tables, among others.
Author: Marcelo Araya-Salas [aut, cre] , Grace Smith-Vidaurre [aut]
Maintainer: Marcelo Araya-Salas <marcelo.araya@ucr.ac.cr>

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Package simlandr updated to version 0.3.1 with previous version 0.3.0 dated 2022-11-15

Title: Simulation-Based Landscape Construction for Dynamical Systems
Description: A toolbox for constructing potential landscapes for dynamical systems using Monte Carlo simulation. The method is based on the potential landscape definition by Wang et al. (2008) <doi:10.1073/pnas.0800579105> (also see Zhou & Li, 2016 <doi:10.1063/1.4943096> for further mathematical discussions) and can be used for a large variety of models.
Author: Jingmeng Cui [aut, cre]
Maintainer: Jingmeng Cui <jingmeng.cui@outlook.com>

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Package eventstudyr updated to version 1.1.2 with previous version 1.1.1 dated 2023-06-07

Title: Estimation and Visualization of Linear Panel Event Studies
Description: Estimates linear panel event study models. Plots coefficients following the recommendations in Freyaldenhoven et al. (2021) <doi:10.3386/w29170>. Includes sup-t bands, testing for key hypotheses, least wiggly path through the Wald region. Allows instrumental variables estimation following Freyaldenhoven et al. (2019) <doi:10.1257/aer.20180609>.
Author: Simon Freyaldenhoven [aut], Christian Hansen [aut], Jorge Perez Perez [aut], Jesse Shapiro [aut], Veli Andirin [aut], Richard Calvo [aut], Santiago Hermo [aut], Nathan Schor [aut], Emily Wang [aut, cre], JMSLab [cph], Ryan Kessler [cph]
Maintainer: Emily Wang <emwang@hbs.edu>

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Package spmoran updated to version 0.2.3 with previous version 0.2.2.9 dated 2023-04-28

Title: Fast Spatial Regression using Moran Eigenvectors
Description: Functions for estimating spatial varying coefficient models, mixed models, and other spatial regression models for Gaussian and non-Gaussian data. Moran eigenvectors are used to an approximate spatial Gaussian processes. These processes are used for modeling the spatial processes in residuals and regression coefficients. For details see Murakami (2021) <arXiv:1703.04467>.
Author: Daisuke Murakami <dmuraka@ism.ac.jp>
Maintainer: Daisuke Murakami <dmuraka@ism.ac.jp>

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Package MicSim updated to version 2.0.1 with previous version 2.0.0 dated 2023-01-09

Title: Performing Continuous-Time Microsimulation
Description: This toolkit allows performing continuous-time microsimulation for a wide range of life science (demography, social sciences, epidemiology) applications. Individual life-courses are specified by a continuous-time multi-state model as described in Zinn (2014) <doi:10.34196/IJM.00105>.
Author: Sabine Zinn [aut, cre], Claudio Bosco [ctb], Maurizio Teobaldell [ctb]
Maintainer: Sabine Zinn <szinn@diw.de>

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Package karaoke updated to version 2.0 with previous version 1.0 dated 2016-03-03

Title: Remove Vocals from a Song
Description: Attempts to remove vocals from a stereo '.wav' recording of a song.
Author: John R. Dixon
Maintainer: John R. Dixon <gbm2sas@gmail.com>

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Package gbm2sas updated to version 3.0 with previous version 2.1 dated 2015-11-10

Title: Convert GBM Object Trees to SAS Code
Description: Writes SAS code to get predicted values from every tree of a gbm.object.
Author: John R. Dixon
Maintainer: John R. Dixon <gbm2sas@gmail.com>

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Package ecoreg updated to version 0.2.4 with previous version 0.2.3 dated 2020-03-24

Title: Ecological Regression using Aggregate and Individual Data
Description: Estimating individual-level covariate-outcome associations using aggregate data ("ecological inference") or a combination of aggregate and individual-level data ("hierarchical related regression").
Author: Christopher Jackson <chris.jackson@mrc-bsu.cam.ac.uk>
Maintainer: Christopher Jackson <chris.jackson@mrc-bsu.cam.ac.uk>

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Package statgenQTLxT updated to version 1.0.2 with previous version 1.0.1 dated 2023-04-04

Title: Multi-Trait and Multi-Trial Genome Wide Association Studies
Description: Fast multi-trait and multi-trail Genome Wide Association Studies (GWAS) following the method described in Zhou and Stephens. (2014), <doi:10.1038/nmeth.2848>. One of a series of statistical genetic packages for streamlining the analysis of typical plant breeding experiments developed by Biometris.
Author: Bart-Jan van Rossum [aut, cre] , Willem Kruijer [aut] , Fred van Eeuwijk [ctb] , Martin Boer [ctb] , Daniela Bustos-Korts [ctb] , Emilie J Millet [ctb] , Joao Paulo [ctb] , Maikel Verouden [ctb] , Ron Wehrens [ctb] , Choazhi Zheng [ctb]
Maintainer: Bart-Jan van Rossum <bart-jan.vanrossum@wur.nl>

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Package tidytags (with last version 1.1.1) was removed from CRAN

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

2023-01-10 1.1.1
2022-11-18 1.1.0
2022-10-18 1.0.3
2022-08-23 1.0.2

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Package timeperiodsR updated to version 0.7.3 with previous version 0.7.1 dated 2023-04-20

Title: Simple Definition Of Time Intervals
Description: Simple definition of time intervals for the current, previous, and next week, month, quarter and year.
Author: Alexey Seleznev [aut, cre]
Maintainer: Alexey Seleznev <selesnow@gmail.com>

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Package sparrpowR updated to version 0.2.8 with previous version 0.2.7 dated 2023-02-01

Title: Power Analysis to Detect Spatial Relative Risk Clusters
Description: Calculate the statistical power to detect clusters using kernel-based spatial relative risk functions that are estimated using the 'sparr' package. Details about the 'sparr' package methods can be found in the tutorial: Davies et al. (2018) <doi:10.1002/sim.7577>. Details about kernel density estimation can be found in J. F. Bithell (1990) <doi:10.1002/sim.4780090616>. More information about relative risk functions using kernel density estimation can be found in J. F. Bithell (1991) <doi:10.1002/sim.4780101112>.
Author: Ian D. Buller [aut, cre, cph] , Derek W. Brown [aut, cph] , Mitchell J. Machiela [ctb] , Timothy A. Myers [ctb], NCI [cph, fnd]
Maintainer: Ian D. Buller <ian.buller@alumni.emory.edu>

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Package ppseq updated to version 0.2.3 with previous version 0.2.2 dated 2023-04-17

Title: Design Clinical Trials using Sequential Predictive Probability Monitoring
Description: Functions are available to calibrate designs over a range of posterior and predictive thresholds, to plot the various design options, and to obtain the operating characteristics of optimal accuracy and optimal efficiency designs.
Author: Emily C. Zabor [aut, cre] , Brian P. Hobbs [aut], Michael J. Kane [aut]
Maintainer: Emily C. Zabor <zabore2@ccf.org>

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More information about ppseq at CRAN
Permanent link

Package PDE updated to version 1.4.8 with previous version 1.4.7 dated 2023-12-11

Title: Extract Tables and Sentences from PDFs with User Interface
Description: The PDE (Pdf Data Extractor) allows the extraction of information and tables optionally based on search words from PDF (Portable Document Format) files and enables the visualization of the results, both by providing a convenient user-interface.
Author: Erik Stricker [aut, cre]
Maintainer: Erik Stricker <erik.stricker@gmx.com>

Diff between PDE versions 1.4.7 dated 2023-12-11 and 1.4.8 dated 2024-01-23

 DESCRIPTION       |    6 +++---
 MD5               |    8 ++++----
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More information about PDE at CRAN
Permanent link

Package mixture updated to version 2.1.0 with previous version 2.0.6 dated 2023-09-26

Title: Mixture Models for Clustering and Classification
Description: An implementation of 14 parsimonious mixture models for model-based clustering or model-based classification. Gaussian, Student's t, generalized hyperbolic, variance-gamma or skew-t mixtures are available. All approaches work with missing data. Celeux and Govaert (1995) <doi:10.1016/0031-3203(94)00125-6>, Browne and McNicholas (2014) <doi:10.1007/s11634-013-0139-1>, Browne and McNicholas (2015) <doi:10.1002/cjs.11246>.
Author: Nik Pocuca [aut] , Ryan P. Browne [aut] , Paul D. McNicholas [aut, cre]
Maintainer: Paul D. McNicholas <mcnicholas@math.mcmaster.ca>

Diff between mixture versions 2.0.6 dated 2023-09-26 and 2.1.0 dated 2024-01-23

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More information about mixture at CRAN
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Package lavaSearch2 updated to version 2.0.2 with previous version 2.0.1 dated 2023-04-11

Title: Tools for Model Specification in the Latent Variable Framework
Description: Tools for model specification in the latent variable framework (add-on to the 'lava' package). The package contains three main functionalities: Wald tests/F-tests with improved control of the type 1 error in small samples, adjustment for multiple comparisons when searching for local dependencies, and adjustment for multiple comparisons when doing inference for multiple latent variable models.
Author: Brice Ozenne [aut, cre]
Maintainer: Brice Ozenne <brice.mh.ozenne@gmail.com>

Diff between lavaSearch2 versions 2.0.1 dated 2023-04-11 and 2.0.2 dated 2024-01-23

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More information about lavaSearch2 at CRAN
Permanent link

Package islasso updated to version 1.5.2 with previous version 1.5.1 dated 2023-05-15

Title: The Induced Smoothed Lasso
Description: An implementation of the induced smoothing (IS) idea to lasso regularization models to allow estimation and inference on the model coefficients (currently hypothesis testing only). Linear, logistic, Poisson and gamma regressions with several link functions are implemented. The algorithm is described in the original paper; see <doi:10.1177/0962280219842890> and discussed in a tutorial <doi:10.13140/RG.2.2.16360.11521>.
Author: Gianluca Sottile [aut, cre], Giovanna Cilluffo [aut, ctb], Vito MR Muggeo [aut, ctb]
Maintainer: Gianluca Sottile <gianluca.sottile@unipa.it>

Diff between islasso versions 1.5.1 dated 2023-05-15 and 1.5.2 dated 2024-01-23

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Package Correlplot updated to version 1.1.0 with previous version 1.0.9 dated 2024-01-21

Title: A Collection of Functions for Graphing Correlation Matrices
Description: Routines for the graphical representation of correlation matrices by means of correlograms, MDS maps and biplots obtained by PCA, PFA or WALS (weighted alternating least squares); See Graffelman & De Leeuw (2023) <doi: 10.1080/00031305.2023.2186952>.
Author: Jan Graffelman [aut, cre], Jan De Leeuw [aut]
Maintainer: Jan Graffelman <jan.graffelman@upc.edu>

Diff between Correlplot versions 1.0.9 dated 2024-01-21 and 1.1.0 dated 2024-01-23

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Package BuyseTest updated to version 3.0.2 with previous version 2.4.0 dated 2023-03-20

Title: Generalized Pairwise Comparisons
Description: Implementation of the Generalized Pairwise Comparisons (GPC) as defined in Buyse (2010) <doi:10.1002/sim.3923> for complete observations, and extended in Peron (2018) <doi:10.1177/0962280216658320> to deal with right-censoring. GPC compare two groups of observations (intervention vs. control group) regarding several prioritized endpoints to estimate the probability that a random observation drawn from one group performs better than a random observation drawn from the other group (Mann-Whitney parameter). The net benefit and win ratio statistics, i.e. the difference and ratio between the probabilities relative to the intervention and control groups, can then also be estimated. Confidence intervals and p-values are obtained based on asymptotic results (Ozenne 2021 <doi:10.1177/09622802211037067>), non-parametric bootstrap, or permutations. The software enables the use of thresholds of minimal importance difference, stratification, non-prioritized endpoints (O Brien test [...truncated...]
Author: Brice Ozenne [aut, cre] , Julien Peron [ctb], Eva Cantagallo [aut]
Maintainer: Brice Ozenne <brice.mh.ozenne@gmail.com>

Diff between BuyseTest versions 2.4.0 dated 2023-03-20 and 3.0.2 dated 2024-01-23

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Package bs4Dash updated to version 2.3.3 with previous version 2.3.0 dated 2023-06-15

Title: A 'Bootstrap 4' Version of 'shinydashboard'
Description: Make 'Bootstrap 4' Shiny dashboards. Use the full power of 'AdminLTE3', a dashboard template built on top of 'Bootstrap 4' <https://github.com/ColorlibHQ/AdminLTE>.
Author: David Granjon [aut, cre], RinteRface [cph], Almasaeed Studio [ctb, cph] , Winston Chang [ctb, cph]
Maintainer: David Granjon <dgranjon@ymail.com>

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Package RcppAnnoy updated to version 0.0.22 with previous version 0.0.21 dated 2023-07-02

Title: 'Rcpp' Bindings for 'Annoy', a Library for Approximate Nearest Neighbors
Description: 'Annoy' is a small C++ library for Approximate Nearest Neighbors written for efficient memory usage as well an ability to load from / save to disk. This package provides an R interface by relying on the 'Rcpp' package, exposing the same interface as the original Python wrapper to 'Annoy'. See <https://github.com/spotify/annoy> for more on 'Annoy'. 'Annoy' is released under Version 2.0 of the Apache License. Also included is a small Windows port of 'mmap' which is released under the MIT license.
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppAnnoy versions 0.0.21 dated 2023-07-02 and 0.0.22 dated 2024-01-23

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Package mastif updated to version 2.1 with previous version 2.0 dated 2023-01-27

Title: Mast Inference and Forecasting
Description: Analyzes production and dispersal of seeds dispersed from trees and recovered in seed traps. Motivated by long-term inventory plots where seed collections are used to infer seed production by each individual plant.
Author: James S. Clark
Maintainer: James S. Clark <jimclark@duke.edu>

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Package gateR updated to version 0.1.15 with previous version 0.1.13 dated 2023-02-01

Title: Flow/Mass Cytometry Gating via Spatial Kernel Density Estimation
Description: Estimates statistically significant marker combination values within which one immunologically distinctive group (i.e., disease case) is more associated than another group (i.e., healthy control), successively, using various combinations (i.e., "gates") of markers to examine features of cells that may be different between groups. For a two-group comparison, the 'gateR' package uses the spatial relative risk function estimated using the 'sparr' package. Details about the 'sparr' package methods can be found in the tutorial: Davies et al. (2018) <doi:10.1002/sim.7577>. Details about kernel density estimation can be found in J. F. Bithell (1990) <doi:10.1002/sim.4780090616>. More information about relative risk functions using kernel density estimation can be found in J. F. Bithell (1991) <doi:10.1002/sim.4780101112>.
Author: Ian D. Buller [aut, cre, cph] , Elena Hsieh [ctb] , Debashis Ghosh [ctb] , Lance A. Waller [ctb] , NCI [cph]
Maintainer: Ian D. Buller <ian.buller@alumni.emory.edu>

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Package envi updated to version 0.1.19 with previous version 0.1.17 dated 2023-02-01

Title: Environmental Interpolation using Spatial Kernel Density Estimation
Description: Estimates an ecological niche using occurrence data, covariates, and kernel density-based estimation methods. For a single species with presence and absence data, the 'envi' package uses the spatial relative risk function that is estimated using the 'sparr' package. Details about the 'sparr' package methods can be found in the tutorial: Davies et al. (2018) <doi:10.1002/sim.7577>. Details about kernel density estimation can be found in J. F. Bithell (1990) <doi:10.1002/sim.4780090616>. More information about relative risk functions using kernel density estimation can be found in J. F. Bithell (1991) <doi:10.1002/sim.4780101112>.
Author: Ian D. Buller [aut, cre, cph] , Lance A. Waller [ctb, ths] , Emory University [cph]
Maintainer: Ian D. Buller <ian.buller@alumni.emory.edu>

Diff between envi versions 0.1.17 dated 2023-02-01 and 0.1.19 dated 2024-01-23

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Package Qest updated to version 1.0.1 with previous version 1.0.0 dated 2022-04-05

Title: Quantile-Based Estimator
Description: Quantile-based estimators (Q-estimators) can be used to fit any parametric distribution, using its quantile function. Q-estimators are usually more robust than standard maximum likelihood estimators. The method is described in: Sottile G. and Frumento P. (2022). Robust estimation and regression with parametric quantile functions. <doi:10.1016/j.csda.2022.107471>.
Author: Gianluca Sottile [aut, cre], Paolo Frumento [aut]
Maintainer: Gianluca Sottile <gianluca.sottile@unipa.it>

Diff between Qest versions 1.0.0 dated 2022-04-05 and 1.0.1 dated 2024-01-23

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Package psidread updated to version 1.0.2 with previous version 1.0.1 dated 2024-01-21

Title: Streamline Building Panel Data from Panel Study of Income Dynamics ('PSID') Raw Files
Description: Streamline the management, creation, and formatting of panel data from the Panel Study of Income Dynamics ('PSID') <https://psidonline.isr.umich.edu> using this user-friendly tool. Simply define variable names and input code book details directly from the 'PSID' official website, and this toolbox will efficiently facilitate the data preparation process, transforming raw 'PSID' files into a well-organized format ready for further analysis.
Author: Shuyi Qiu [aut, cre]
Maintainer: Shuyi Qiu <shuyi.qiu@duke.edu>

Diff between psidread versions 1.0.1 dated 2024-01-21 and 1.0.2 dated 2024-01-23

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New package offsetreg with initial version 1.0.0
Package: offsetreg
Title: An Extension of 'Tidymodels' Supporting Offset Terms
Version: 1.0.0
Maintainer: Matt Heaphy <mattrmattrs@gmail.com>
Description: Extend the 'tidymodels' ecosystem <https://www.tidymodels.org/> to enable the creation of predictive models with offset terms. Models with offsets are most useful when working with count data or when fitting an adjustment model on top of an existing model with a prior expectation. The former situation is common in insurance where data is often weighted by exposures. The latter is common in life insurance where industry mortality tables are often used as a starting point for setting assumptions.
License: MIT + file LICENSE
URL: https://github.com/mattheaphy/offsetreg/, https://mattheaphy.github.io/offsetreg/
BugReports: https://github.com/mattheaphy/offsetreg/issues
Encoding: UTF-8
Imports: generics, glue, parsnip, poissonreg, rlang, stats
Suggests: glmnet, recipes, testthat (>= 3.0.0), tune, workflows
Depends: R (>= 4.1)
LazyData: true
NeedsCompilation: no
Packaged: 2024-01-23 04:35:49 UTC; Matt
Author: Matt Heaphy [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-01-23 13:50:03 UTC

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New package nearfar with initial version 1.3
Package: nearfar
Title: Near-Far Matching
Version: 1.3
Date: 2024-01-22
Author: Joseph Rigdon <jrigdon@wakehealth.edu>
Maintainer: Joseph Rigdon <jrigdon@wakehealth.edu>
Imports: GenSA, MASS, car, stats
Description: Near-far matching is a study design technique for preprocessing observational data to mimic a pair-randomized trial. Individuals are matched to be near on measured confounders and far on levels of an instrumental variable. Methods outlined in further detail in Rigdon, Baiocchi, and Basu (2018) <doi:10.18637/jss.v086.c05>.
License: GPL-3
Depends: nbpMatching
NeedsCompilation: no
Packaged: 2024-01-22 14:18:48 UTC; joerigdon
Repository: CRAN
Date/Publication: 2024-01-23 13:00:02 UTC

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New package MissMech with initial version 1.0.3
Package: MissMech
Title: Testing Homoscedasticity, Multivariate Normality, and Missing Completely at Random
Version: 1.0.3
Description: To test whether the missing data mechanism, in a set of incompletely observed data, is one of missing completely at random (MCAR). For detailed description see Jamshidian, M. Jalal, S., and Jansen, C. (2014). "MissMech: An R Package for Testing Homoscedasticity, Multivariate Normality, and Missing Completely at Random (MCAR)", Journal of Statistical Software, 56(6), 1-31. <https://www.jstatsoft.org/v56/i06/> <doi:10.18637/jss.v056.i06>.
License: GPL (>= 2)
URL: https://github.com/indenkun/MissMech
BugReports: https://github.com/indenkun/MissMech/issues
NeedsCompilation: no
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: graphics, stats
Packaged: 2024-01-23 00:47:23 UTC; kobayashi
Author: Mortaza Jamshidian [aut], Siavash Jalal [aut], Camden Jansen [aut], Mao Kobayashi [cre]
Maintainer: Mao Kobayashi <kobamao.jp@gmail.com>
Repository: CRAN
Date/Publication: 2024-01-23 13:42:56 UTC

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New package labelr with initial version 0.1.2
Package: labelr
Title: Label Data Frames, Variables, and Values
Version: 0.1.2
Maintainer: Robert Hartman <rohartman@gmail.com>
Description: Create and use data frame labels for data frame objects (frame labels), their columns (name labels), and individual values of a column (value labels). Value labels include one-to-one and many-to-one labels for nominal and ordinal variables, as well as numerical range-based value labels for continuous variables. Convert value-labeled variables so each value is replaced by its corresponding value label. Add values-converted-to-labels columns to a value-labeled data frame while preserving parent columns. Filter and subset a value-labeled data frame using labels, while returning results in terms of values. Overlay labels in place of values in common R commands to increase interpretability. Generate tables of value frequencies, with categories expressed as raw values or as labels. Access data frames that show value-to-label mappings for easy reference.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: stats, utils
Suggests: knitr, rmarkdown, car, nycflights13, collapse, tibble, haven, dplyr, modelr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-01-22 22:32:03 UTC; rohar
Author: Robert Hartman [aut, cre], The MITRE Corporation [cph]
Repository: CRAN
Date/Publication: 2024-01-23 13:30:02 UTC

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New package labeleR with initial version 0.1.2
Package: labeleR
Title: Automate the Production of Custom Labels, Badges, Certificates, and Other Documents
Version: 0.1.2
Description: Create custom labels, badges, certificates and other documents. Automate the production of potentially large numbers of accreditation badges, attendance and participation certificates, herbarium and collection labels, etc. Documents are generated in PDF format, which requires a working installation of 'LaTeX', such as 'TinyTeX'.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/EcologyR/labeleR/, https://ecologyr.github.io/labeleR/
BugReports: https://github.com/EcologyR/labeleR/issues/
Depends: R (>= 3.5.0)
LazyData: true
Suggests: testthat (>= 3.0.0)
Imports: rmarkdown
NeedsCompilation: no
Packaged: 2024-01-22 18:01:23 UTC; media
Author: Ignacio Ramos-Gutierrez [aut, cre, cph] , Julia G. de Aledo [aut, cph] , Francisco Rodriguez-Sanchez [aut, cph] , Giorgio Comai [ctb]
Maintainer: Ignacio Ramos-Gutierrez <ig.ramosgutierrez@gmail.com>
Repository: CRAN
Date/Publication: 2024-01-23 13:20:02 UTC

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New package ifpd with initial version 0.1.0
Package: ifpd
Title: Indonesia Food Prices Data
Version: 0.1.0
Author: Fadhlul Mubarak [aut, cre], Vinny Yuliani Sundara [aut], Nurniswah [aut], Fakhrur Razi [aut]
Maintainer: Fadhlul Mubarak <mubarakfadhlul@gmail.com>
Description: Imputation of missing values using the last observation carried forward technique on Indonesia food prices data that is time series data. Also, this technique applies imputation to data whose dates do not appear directly. So that the series assumptions in the time series data are met.
License: GPL-3
URL: https://github.com/mubarakfadhlul/ifpd
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: zoo, readxl
NeedsCompilation: no
Packaged: 2024-01-23 08:03:07 UTC; HP
Repository: CRAN
Date/Publication: 2024-01-23 13:50:06 UTC

More information about ifpd at CRAN
Permanent link

New package evsim with initial version 1.2.0
Package: evsim
Title: Electric Vehicle Charging Sessions Simulation
Version: 1.2.0
Description: Simulation of Electric Vehicles charging sessions using Gaussian models, together with time-series power demand calculations. The simulation methodology is published in Cañigueral et al. (2023, ISBN:0957-4174) <doi:10.1016/j.eswa.2023.120318>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: MASS, dplyr, lubridate, purrr, rlang, tidyr, jsonlite
Suggests: shiny, shinydashboard, shinyWidgets, spelling, testthat (>= 3.0.0)
Depends: R (>= 2.10)
URL: https://github.com/mcanigueral/evsim/
BugReports: https://github.com/mcanigueral/evsim/issues
Language: en-US
NeedsCompilation: no
Packaged: 2024-01-22 17:22:25 UTC; mcanigueral
Author: Marc Canigueral [aut, cre]
Maintainer: Marc Canigueral <marc.canigueral@udg.edu>
Repository: CRAN
Date/Publication: 2024-01-23 13:10:06 UTC

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New package distops with initial version 0.1.0
Package: distops
Title: Usual Operations for Distance Matrices in R
Version: 0.1.0
Description: It provides the subset operator for dist objects and a function to compute medoid(s) that are fully parallelized leveraging the 'RcppParallel' package. It also provides functions for package developers to easily implement their own parallelized dist() function using a custom 'C++'-based distance function.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/lmjl-alea/distops, https://lmjl-alea.github.io/distops/
BugReports: https://github.com/lmjl-alea/distops/issues
SystemRequirements: GNU make
Imports: cli, desc, fs, glue, Rcpp, RcppParallel, usethis
Suggests: testthat (>= 3.0.0)
LinkingTo: Rcpp, RcppParallel
NeedsCompilation: yes
Packaged: 2024-01-23 09:47:54 UTC; stamm-a
Author: Aymeric Stamm [aut, cre]
Maintainer: Aymeric Stamm <aymeric.stamm@cnrs.fr>
Repository: CRAN
Date/Publication: 2024-01-23 13:53:26 UTC

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Package blockcluster updated to version 4.5.4 with previous version 4.5.3 dated 2023-02-17

Title: Co-Clustering Package for Binary, Categorical, Contingency and Continuous Data-Sets
Description: Simultaneous clustering of rows and columns, usually designated by biclustering, co-clustering or block clustering, is an important technique in two way data analysis. It consists of estimating a mixture model which takes into account the block clustering problem on both the individual and variables sets. The 'blockcluster' package provides a bridge between the C++ core library build on top of the 'STK++' library, and the R statistical computing environment. This package allows to co-cluster binary <doi:10.1016/j.csda.2007.09.007>, contingency <doi:10.1080/03610920903140197>, continuous <doi:10.1007/s11634-013-0161-3> and categorical data-sets <doi:10.1007/s11222-014-9472-2>. It also provides utility functions to visualize the results. This package may be useful for various applications in fields of Data mining, Information retrieval, Biology, computer vision and many more. More information about the project and comprehensive tutorial can be found on the link me [...truncated...]
Author: Serge Iovleff [aut, cre], Parmeet Singh Bhatia [aut], Josselin Demont [ctb], Vincent Brault [ctb], Vincent Kubicki [ctb], Gerard Goavert [ctb], Christophe Biernacki [ctb], Gilles Celeux [ctb]
Maintainer: Serge Iovleff <Serge.Iovleff@stkpp.org>

Diff between blockcluster versions 4.5.3 dated 2023-02-17 and 4.5.4 dated 2024-01-23

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New package AutoPlots with initial version 1.0.0
Package: AutoPlots
Title: Creating Echarts Visualizations as Easy as Possible
Version: 1.0.0
Date: 2024-01-19
Author: Adrian Antico [aut, cre, cph]
Maintainer: Adrian Antico <adrianantico@gmail.com>
Description: Create beautiful and interactive visualizations in a single function call. The 'data.table' package is utilized to perform the data wrangling necessary to prepare your data for the plot types you wish to build, along with allowing fast processing for big data. There are two broad classes of plots available: standard plots and machine learning evaluation plots. There are lots of parameters available in each plot type function for customizing the plots (such as faceting) and data wrangling (such as variable transformations and aggregation).
License: AGPL (>= 3)
URL: https://github.com/AdrianAntico/AutoPlots
BugReports: https://github.com/AdrianAntico/AutoPlots/issues
Depends: R (>= 4.1.0)
Imports: combinat, data.table, dplyr, e1071, echarts4r, lubridate, nortest, quanteda, quanteda.textstats, scales, stats, utils
Contact: Adrian Antico
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2024-01-22 16:19:16 UTC; Bizon
Suggests: spelling
Repository: CRAN
Date/Publication: 2024-01-23 13:13:00 UTC

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Package doc2concrete updated to version 0.6.0 with previous version 0.5.6 dated 2022-06-28

Title: Measuring Concreteness in Natural Language
Description: Models for detecting concreteness in natural language. This package is built in support of Yeomans (2021) <doi:10.1016/j.obhdp.2020.10.008>, which reviews linguistic models of concreteness in several domains. Here, we provide an implementation of the best-performing domain-general model (from Brysbaert et al., (2014) <doi:10.3758/s13428-013-0403-5>) as well as two pre-trained models for the feedback and plan-making domains.
Author: Mike Yeomans
Maintainer: Mike Yeomans <mk.yeomans@gmail.com>

Diff between doc2concrete versions 0.5.6 dated 2022-06-28 and 0.6.0 dated 2024-01-23

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Package ggrain updated to version 0.0.4 with previous version 0.0.3 dated 2023-03-03

Title: A Rainclouds Geom for 'ggplot2'
Description: The 'geom_rain()' function adds different geoms together using 'ggplot2' to create raincloud plots.
Author: Nicholas Judd [aut, cre] , Jordy van Langen [aut] , Micah Allen [ctb] , Rogier Kievit [aut]
Maintainer: Nicholas Judd <nickkjudd@gmail.com>

Diff between ggrain versions 0.0.3 dated 2023-03-03 and 0.0.4 dated 2024-01-23

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Package RoughSets updated to version 1.3-8 with previous version 1.3-7 dated 2019-12-15

Title: Data Analysis Using Rough Set and Fuzzy Rough Set Theories
Description: Implementations of algorithms for data analysis based on the rough set theory (RST) and the fuzzy rough set theory (FRST). We not only provide implementations for the basic concepts of RST and FRST but also popular algorithms that derive from those theories. The methods included in the package can be divided into several categories based on their functionality: discretization, feature selection, instance selection, rule induction and classification based on nearest neighbors. RST was introduced by Zdzisław Pawlak in 1982 as a sophisticated mathematical tool to model and process imprecise or incomplete information. By using the indiscernibility relation for objects/instances, RST does not require additional parameters to analyze the data. FRST is an extension of RST. The FRST combines concepts of vagueness and indiscernibility that are expressed with fuzzy sets (as proposed by Zadeh, in 1965) and RST.
Author: Andrzej Janusz [aut], Lala Septem Riza [aut], Dominik Ślezak [ctb], Chris Cornelis [ctb], Francisco Herrera [ctb], Jose Manuel Benitez [ctb], Christoph Bergmeir [ctb, cre], Sebastian Stawicki [ctb]
Maintainer: Christoph Bergmeir <c.bergmeir@decsai.ugr.es>

Diff between RoughSets versions 1.3-7 dated 2019-12-15 and 1.3-8 dated 2024-01-23

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Package riverconn updated to version 0.3.31 with previous version 0.3.28 dated 2023-05-05

Title: Fragmentation and Connectivity Indices for Riverscapes
Description: Indices for assessing riverscape fragmentation, including the Dendritic Connectivity Index, the Population Connectivity Index, the River Fragmentation Index, the Probability of Connectivity, and the Integral Index of connectivity. For a review, see Jumani et al. (2020) <doi:10.1088/1748-9326/abcb37> and Baldan et al. (2022) <doi:10.1016/j.envsoft.2022.105470> Functions to calculate temporal indices improvement when fragmentation due to barriers is reduced are also included.
Author: Damiano Baldan [aut, cre] , David Cunillera-Montcusi [ctb] , Andrea Funk [ctb]
Maintainer: Damiano Baldan <damiano.baldan91@gmail.com>

Diff between riverconn versions 0.3.28 dated 2023-05-05 and 0.3.31 dated 2024-01-23

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Package MultOrdRS updated to version 0.1-3 with previous version 0.1-2 dated 2021-03-29

Title: Model Multivariate Ordinal Responses Including Response Styles
Description: In the case of multivariate ordinal responses, parameter estimates can be severely biased if personal response styles are ignored. This packages provides methods to account for personal response styles and to explain the effects of covariates on the response style, as proposed by Schauberger and Tutz 2021 <doi:10.1177/1471082X20978034>. The method is implemented both for the multivariate cumulative model and the multivariate adjacent categories model.
Author: Gunther Schauberger
Maintainer: Gunther Schauberger <gunther.schauberger@tum.de>

Diff between MultOrdRS versions 0.1-2 dated 2021-03-29 and 0.1-3 dated 2024-01-23

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Package segmented updated to version 2.0-2 with previous version 2.0-1 dated 2023-12-19

Title: Regression Models with Break-Points / Change-Points Estimation (with Possibly Random Effects)
Description: Fitting regression models where, in addition to possible linear terms, one or more covariates have segmented (i.e., broken-line or piece-wise linear) or stepmented (i.e. piece-wise constant) effects. Multiple breakpoints for the same variable are allowed. The estimation method is discussed in Muggeo (2003, <doi:10.1002/sim.1545>) and illustrated in Muggeo (2008, <https://www.r-project.org/doc/Rnews/Rnews_2008-1.pdf>). An approach for hypothesis testing is presented in Muggeo (2016, <doi:10.1080/00949655.2016.1149855>), and interval estimation for the breakpoint is discussed in Muggeo (2017, <doi:10.1111/anzs.12200>). Segmented mixed models, i.e. random effects in the change point, are discussed in Muggeo (2014, <doi:10.1177/1471082X13504721>). Estimation of piecewise-constant relationships and changepoints (mean-shift models) is discussed in Fasola et al. (2018, <doi:10.1007/s00180-017-0740-4>).
Author: Vito M. R. Muggeo [aut, cre]
Maintainer: Vito M. R. Muggeo <vito.muggeo@unipa.it>

Diff between segmented versions 2.0-1 dated 2023-12-19 and 2.0-2 dated 2024-01-23

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Package qrcmNP updated to version 0.2.1 with previous version 0.2.0 dated 2021-02-21

Title: Nonlinear and Penalized Quantile Regression Coefficients Modeling
Description: Nonlinear and Penalized parametric modeling of quantile regression coefficient functions. Sottile G, Frumento P, Chiodi M and Bottai M (2020) <doi:10.1177/1471082X19825523>.
Author: Gianluca Sottile [aut, cre]
Maintainer: Gianluca Sottile <gianluca.sottile@unipa.it>

Diff between qrcmNP versions 0.2.0 dated 2021-02-21 and 0.2.1 dated 2024-01-23

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Package ibd updated to version 1.6 with previous version 1.5 dated 2019-04-24

Title: Incomplete Block Designs
Description: A collection of several utility functions related to binary incomplete block designs. Contains function to generate A- and D-efficient binary incomplete block designs with given numbers of treatments, number of blocks and block size. Contains function to generate an incomplete block design with specified concurrence matrix. There are functions to generate balanced treatment incomplete block designs and incomplete block designs for test versus control treatments comparisons with specified concurrence matrix. Allows performing analysis of variance of data and computing estimated marginal means of factors from experiments using a connected incomplete block design. Tests of hypothesis of treatment contrasts in incomplete block design set up is supported.
Author: B N Mandal [aut, cre]
Maintainer: B N Mandal <mandal.stat@gmail.com>

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Package hoardr updated to version 0.5.4 with previous version 0.5.3 dated 2023-01-26

Title: Manage Cached Files
Description: Suite of tools for managing cached files, targeting use in other R packages. Uses 'rappdirs' for cross-platform paths. Provides utilities to manage cache directories, including targeting files by path or by key; cached directories can be compressed and uncompressed easily to save disk space.
Author: Scott Chamberlain [aut] , Tamas Stirling [ctb, cre]
Maintainer: Tamas Stirling <stirling.tamas@gmail.com>

Diff between hoardr versions 0.5.3 dated 2023-01-26 and 0.5.4 dated 2024-01-23

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Package fnets updated to version 0.1.6 with previous version 0.1.5 dated 2023-07-17

Title: Factor-Adjusted Network Estimation and Forecasting for High-Dimensional Time Series
Description: Implements methods for network estimation and forecasting of high-dimensional time series exhibiting strong serial and cross-sectional correlations under a factor-adjusted vector autoregressive model. See Barigozzi, Cho and Owens (2024+) <doi:10.1080/07350015.2023.2257270> for further descriptions of FNETS methodology and Owens, Cho and Barigozzi (2024+) <arXiv:2301.11675> accompanying the R package.
Author: Matteo Barigozzi [aut], Haeran Cho [cre, aut], Dom Owens [aut]
Maintainer: Haeran Cho <haeran.cho@bristol.ac.uk>

Diff between fnets versions 0.1.5 dated 2023-07-17 and 0.1.6 dated 2024-01-23

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Package TTAinterfaceTrendAnalysis updated to version 1.5.10 with previous version 1.5.9 dated 2023-03-24

Title: Temporal Trend Analysis Graphical Interface
Description: This interface was created to develop a standard procedure to analyse temporal trend in the framework of the OSPAR convention. The analysis process run through 4 successive steps : 1) manipulate your data, 2) select the parameters you want to analyse, 3) build your regulated time series, 4) perform diagnosis and analysis and 5) read the results. Statistical analysis call other package function such as Kendall tests or cusum() function.
Author: David DEVREKER [aut, cre], Alain LEFEBVRE [aut]
Maintainer: David DEVREKER <David.Devreker@ifremer.fr>

Diff between TTAinterfaceTrendAnalysis versions 1.5.9 dated 2023-03-24 and 1.5.10 dated 2024-01-23

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Package TexExamRandomizer updated to version 1.2.7 with previous version 1.2.3 dated 2018-02-12

Title: Personalizes and Randomizes Exams Written in 'LaTeX'
Description: Randomizing exams with 'LaTeX'. If you can compile your main document with 'LaTeX', the program should be able to compile the randomized versions without much extra effort when creating the document.
Author: Alejandro Gonzalez Recuenco
Maintainer: Alejandro Gonzalez Recuenco <alejandrogonzalezrecuenco@gmail.com>

Diff between TexExamRandomizer versions 1.2.3 dated 2018-02-12 and 1.2.7 dated 2024-01-23

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Package GPCMlasso updated to version 0.1-7 with previous version 0.1-6 dated 2022-05-03

Title: Differential Item Functioning in Generalized Partial Credit Models
Description: Provides a framework to detect Differential Item Functioning (DIF) in Generalized Partial Credit Models (GPCM) and special cases of the GPCM as proposed by Schauberger and Mair (2019) <doi:10.3758/s13428-019-01224-2>. A joint model is set up where DIF is explicitly parametrized and penalized likelihood estimation is used for parameter selection. The big advantage of the method called GPCMlasso is that several variables can be treated simultaneously and that both continuous and categorical variables can be used to detect DIF.
Author: Gunther Schauberger
Maintainer: Gunther Schauberger <gunther.schauberger@tum.de>

Diff between GPCMlasso versions 0.1-6 dated 2022-05-03 and 0.1-7 dated 2024-01-23

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Package ctsfeatures updated to version 1.2.1 with previous version 1.2.0 dated 2024-01-22

Title: Analyzing Categorical Time Series
Description: An implementation of several functions for feature extraction in categorical time series datasets. Specifically, some features related to marginal distributions and serial dependence patterns can be computed. These features can be used to feed clustering and classification algorithms for categorical time series, among others. The package also includes some interesting datasets containing biological sequences. Practitioners from a broad variety of fields could benefit from the general framework provided by 'ctsfeatures'.
Author: Angel Lopez-Oriona [aut, cre], Jose A. Vilar [aut]
Maintainer: Angel Lopez-Oriona <oriona38@hotmail.com>

Diff between ctsfeatures versions 1.2.0 dated 2024-01-22 and 1.2.1 dated 2024-01-23

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Package clustEff updated to version 0.3.1 with previous version 0.3.0 dated 2022-06-28

Title: Clusters of Effects Curves in Quantile Regression Models
Description: Clustering method to cluster both effects curves, through quantile regression coefficient modeling, and curves in functional data analysis. Sottile G. and Adelfio G. (2019) <doi:10.1007/s00180-018-0817-8>.
Author: Gianluca Sottile [aut, cre], Giada Adelfio [aut]
Maintainer: Gianluca Sottile <gianluca.sottile@unipa.it>

Diff between clustEff versions 0.3.0 dated 2022-06-28 and 0.3.1 dated 2024-01-23

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Package BTLLasso updated to version 0.1-12 with previous version 0.1-11 dated 2020-10-07

Title: Modelling Heterogeneity in Paired Comparison Data
Description: Performs 'BTLLasso' as described by Schauberger and Tutz (2019) <doi:10.18637/jss.v088.i09> and Schauberger and Tutz (2017) <doi:10.1177/1471082X17693086>. BTLLasso is a method to include different types of variables in paired comparison models and, therefore, to allow for heterogeneity between subjects. Variables can be subject-specific, object-specific and subject-object-specific and can have an influence on the attractiveness/strength of the objects. Suitable L1 penalty terms are used to cluster certain effects and to reduce the complexity of the models.
Author: Gunther Schauberger
Maintainer: Gunther Schauberger <gunther.schauberger@tum.de>

Diff between BTLLasso versions 0.1-11 dated 2020-10-07 and 0.1-12 dated 2024-01-23

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Package PVAClone updated to version 0.1-7 with previous version 0.1-6 dated 2016-03-12

Title: Population Viability Analysis with Data Cloning
Description: Likelihood based population viability analysis in the presence of observation error and missing data. The package can be used to fit, compare, predict, and forecast various growth model types using data cloning.
Author: Khurram Nadeem, Peter Solymos
Maintainer: Peter Solymos <psolymos@gmail.com>

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Package openaistream updated to version 0.2.0 with previous version 0.1.9 dated 2023-11-27

Title: Streaming Capabilities for 'OpenAI API' Interactions
Description: Based on the 'httr2' framework, the 'OpenAI' interface supports streaming calls and model training. For more details on the API methods implemented, see the 'OpenAI' platform documentation at <https://platform.openai.com/docs/api-reference>.
Author: Li Gen [aut, cre]
Maintainer: Li Gen <libingfei@sina.com>

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Package GAGAs updated to version 0.6.2 with previous version 0.6.1 dated 2023-03-29

Title: Global Adaptive Generative Adjustment Algorithm for Generalized Linear Models
Description: Fits linear regression, logistic and multinomial regression models, Poisson regression, Cox model via Global Adaptive Generative Adjustment Algorithm. For more detailed information, see Bin Wang, Xiaofei Wang and Jianhua Guo (2022) <arXiv:1911.00658>. This paper provides the theoretical properties of Gaga linear model when the load matrix is orthogonal. Further study is going on for the nonorthogonal cases and generalized linear models. These works are in part supported by the National Natural Foundation of China (No.12171076).
Author: Bin Wang [aut, cre], Xiaofei Wang [ctb], Jianhua Guo [ths]
Maintainer: Bin Wang <eatingbeen@hotmail.com>

Diff between GAGAs versions 0.6.1 dated 2023-03-29 and 0.6.2 dated 2024-01-23

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Package epikit updated to version 0.1.6 with previous version 0.1.5 dated 2023-02-15

Title: Miscellaneous Helper Tools for Epidemiologists
Description: Contains tools for formatting inline code, renaming redundant columns, aggregating age categories, adding survey weights, finding the earliest date of an event, plotting z-curves, generating population counts and calculating proportions with confidence intervals. This is part of the 'R4Epis' project <https://r4epis.netlify.app/>.
Author: Alexander Spina [aut] , Zhian N. Kamvar [aut, cre] , Dirk Schumacher [aut], Kate Doyle [ctb]
Maintainer: Zhian N. Kamvar <zkamvar@gmail.com>

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Package conos updated to version 1.5.1 with previous version 1.5.0 dated 2022-10-17

Title: Clustering on Network of Samples
Description: Wires together large collections of single-cell RNA-seq datasets, which allows for both the identification of recurrent cell clusters and the propagation of information between datasets in multi-sample or atlas-scale collections. 'Conos' focuses on the uniform mapping of homologous cell types across heterogeneous sample collections. For instance, users could investigate a collection of dozens of peripheral blood samples from cancer patients combined with dozens of controls, which perhaps includes samples of a related tissue such as lymph nodes. This package interacts with data available through the 'conosPanel' package, which is available in a 'drat' repository. To access this data package, see the instructions at <https://github.com/kharchenkolab/conos>. The size of the 'conosPanel' package is approximately 12 MB.
Author: Viktor Petukhov [aut], Nikolas Barkas [aut], Peter Kharchenko [aut], Weiliang Qiu [ctb], Evan Biederstedt [aut, cre]
Maintainer: Evan Biederstedt <evan.biederstedt@gmail.com>

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Package phenofit updated to version 0.3.9 with previous version 0.3.8 dated 2023-02-15

Title: Extract Remote Sensing Vegetation Phenology
Description: The merits of 'TIMESAT' and 'phenopix' are adopted. Besides, a simple and growing season dividing method and a practical snow elimination method based on Whittaker were proposed. 7 curve fitting methods and 4 phenology extraction methods were provided. Parameters boundary are considered for every curve fitting methods according to their ecological meaning. And 'optimx' is used to select best optimization method for different curve fitting methods. Reference: Kong, D., (2020). R package: A state-of-the-art Vegetation Phenology extraction package, phenofit version 0.3.1, <doi:10.5281/zenodo.5150204>; Kong, D., Zhang, Y., Wang, D., Chen, J., & Gu, X. (2020). Photoperiod Explains the Asynchronization Between Vegetation Carbon Phenology and Vegetation Greenness Phenology. Journal of Geophysical Research: Biogeosciences, 125(8), e2020JG005636. <doi:10.1029/2020JG005636>; Kong, D., Zhang, Y., Gu, X., & Wang, D. (2019). A robust method for reconstructing global MODIS EVI ti [...truncated...]
Author: Dongdong Kong [aut, cre], Mingzhong Xiao [aut], Yongqiang Zhang [aut], Xihui Gu [aut], Jianjian Cui [aut]
Maintainer: Dongdong Kong <kongdd.sysu@gmail.com>

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Package spacesXYZ updated to version 1.3-0 with previous version 1.2-1 dated 2022-03-31

Title: CIE XYZ and some of Its Derived Color Spaces
Description: Functions for converting among CIE XYZ, xyY, Lab, and Luv. Calculate Correlated Color Temperature (CCT) and the Planckian and daylight loci. The XYZs of some standard illuminants and some standard linear chromatic adaptation transforms (CATs) are included. Three standard color difference metrics are included.
Author: Glenn Davis [aut,cre]
Maintainer: Glenn Davis <gdavis@gluonics.com>

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Package rainbow updated to version 3.8 with previous version 3.7 dated 2022-10-09

Title: Bagplots, Boxplots and Rainbow Plots for Functional Data
Description: Visualizing functional data and identifying functional outliers.
Author: Han Lin Shang [aut, cre, cph] , Rob Hyndman [aut]
Maintainer: Han Lin Shang <hanlin.shang@mq.edu.au>

Diff between rainbow versions 3.7 dated 2022-10-09 and 3.8 dated 2024-01-23

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Package ggridges updated to version 0.5.6 with previous version 0.5.5 dated 2023-12-15

Title: Ridgeline Plots in 'ggplot2'
Description: Ridgeline plots provide a convenient way of visualizing changes in distributions over time or space. This package enables the creation of such plots in 'ggplot2'.
Author: Claus O. Wilke [aut, cre]
Maintainer: Claus O. Wilke <wilke@austin.utexas.edu>

Diff between ggridges versions 0.5.5 dated 2023-12-15 and 0.5.6 dated 2024-01-23

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Package ftsa updated to version 6.4 with previous version 6.3 dated 2023-09-11

Title: Functional Time Series Analysis
Description: Functions for visualizing, modeling, forecasting and hypothesis testing of functional time series.
Author: Rob Hyndman [aut] , Han Lin Shang [aut, cre, cph]
Maintainer: Han Lin Shang <hanlin.shang@mq.edu.au>

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Package dtComb (with last version 1.0.0) was removed from CRAN

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

2023-12-12 1.0.0

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