Sun, 24 Mar 2024

Package RNetCDF updated to version 2.9-2 with previous version 2.9-1 dated 2024-01-09

Title: Interface to 'NetCDF' Datasets
Description: An interface to the 'NetCDF' file formats designed by Unidata for efficient storage of array-oriented scientific data and descriptions. Most capabilities of 'NetCDF' version 4 are supported. Optional conversions of time units are enabled by 'UDUNITS' version 2, also from Unidata.
Author: Pavel Michna [aut], Milton Woods [aut, cre]
Maintainer: Milton Woods <miltonjwoods@gmail.com>

Diff between RNetCDF versions 2.9-1 dated 2024-01-09 and 2.9-2 dated 2024-03-24

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Package teal.logger updated to version 0.2.0 with previous version 0.1.3 dated 2023-09-08

Title: Logging Setup for the 'teal' Family of Packages
Description: Utilizing the 'logger' framework to record events within a package, specific to 'teal' family of packages. Supports logging namespaces, hierarchical logging, various log destinations, vectorization, and more.
Author: Dawid Kaledkowski [aut, cre], Konrad Pagacz [aut], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Dawid Kaledkowski <dawid.kaledkowski@roche.com>

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Package sf updated to version 1.0-16 with previous version 1.0-15 dated 2023-12-18

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

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Package boral updated to version 2.0.2 with previous version 2.0.1 dated 2024-03-19

Title: Bayesian Ordination and Regression AnaLysis
Description: Bayesian approaches for analyzing multivariate data in ecology. Estimation is performed using Markov Chain Monte Carlo (MCMC) methods via Three. JAGS types of models may be fitted: 1) With explanatory variables only, boral fits independent column Generalized Linear Models (GLMs) to each column of the response matrix; 2) With latent variables only, boral fits a purely latent variable model for model-based unconstrained ordination; 3) With explanatory and latent variables, boral fits correlated column GLMs with latent variables to account for any residual correlation between the columns of the response matrix.
Author: Francis K.C. Hui [aut, cre], Wade Blanchard [aut]
Maintainer: Francis K.C. Hui <fhui28@gmail.com>

Diff between boral versions 2.0.1 dated 2024-03-19 and 2.0.2 dated 2024-03-24

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Package rnmamod updated to version 0.4.0 with previous version 0.3.0 dated 2022-11-01

Title: Bayesian Network Meta-Analysis with Missing Participants
Description: A comprehensive suite of functions to perform and visualise pairwise and network meta-analysis with aggregate binary or continuous missing participant outcome data. The package covers core Bayesian one-stage models implemented in a systematic review with multiple interventions, including fixed-effect and random-effects network meta-analysis, meta-regression, evaluation of the consistency assumption via the node-splitting approach and the unrelated mean effects model, and sensitivity analysis. Missing participant outcome data are addressed in all models of the package. The robustness to primary analysis results can also be investigated using a novel intuitive index. Methods to evaluate the transitivity assumption quantitatively are provided. The package also offers a rich, user-friendly visualisation toolkit that aids in appraising and interpreting the results thoroughly and preparing the manuscript for journal submission. The visualisation tools comprise the network plot, forest plots, [...truncated...]
Author: Loukia Spineli [aut, cre], Chrysostomos Kalyvas [ctb], Katerina Papadimitropoulou [ctb]
Maintainer: Loukia Spineli <Spineli.Loukia@mh-hannover.de>

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More information about rnmamod at CRAN
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Package packDAMipd updated to version 1.1.0 with previous version 0.2.2 dated 2021-03-03

Title: Decision Analysis Modelling Package with Parameters Estimation Ability from Individual Patient Level Data
Description: A collection of functions to construct Markov model for model-based cost-effectiveness analysis. This includes creating Markov model (both time homogenous and time dependent models), decision analysis, sensitivity analysis (deterministic and probabilistic). The package allows estimation of parameters for the Markov model from a given individual patient level data, provided the data file follows some standard data entry rules.
Author: Sheeja Manchira Krishnan [aut, cre]
Maintainer: Sheeja Manchira Krishnan <sheejamk@gmail.com>

Diff between packDAMipd versions 0.2.2 dated 2021-03-03 and 1.1.0 dated 2024-03-24

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Package ggtern updated to version 3.5.0 with previous version 3.4.2 dated 2023-06-06

Title: An Extension to 'ggplot2', for the Creation of Ternary Diagrams
Description: Extends the functionality of 'ggplot2', providing the capability to plot ternary diagrams for (subset of) the 'ggplot2' geometries. Additionally, 'ggtern' has implemented several NEW geometries which are unavailable to the standard 'ggplot2' release. For further examples and documentation, please proceed to the 'ggtern' website.
Author: Nicholas Hamilton [aut, cre]
Maintainer: Nicholas Hamilton <nick@ggtern.com>

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Package eiCircles updated to version 0.0.1-7 with previous version 0.0.1-6 dated 2024-02-17

Title: Ecological Inference of RxC Tables by Overdispersed-Multinomial Models
Description: Estimates RxC (R by C) vote transfer matrices (ecological contingency tables) from aggregate data using the model described in Forcina et al. (2012), as extension of the model proposed in Brown and Payne (1986). Allows incorporation of covariates. References: Brown, P. and Payne, C. (1986). ''Aggregate data, ecological regression and voting transitions''. Journal of the American Statistical Association, 81, 453–460. <DOI:10.1080/01621459.1986.10478290>. Forcina, A., Gnaldi, M. and Bracalente, B. (2012). ''A revised Brown and Payne model of voting behaviour applied to the 2009 elections in Italy''. Statistical Methods & Applications, 21, 109–119. <DOI:10.1007/s10260-011-0184-x>.
Author: Antonio Forcina [aut] , Jose M. Pavia [aut, cre]
Maintainer: Jose M. Pavia <jose.m.pavia@uv.es>

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Package see updated to version 0.8.3 with previous version 0.8.2 dated 2024-02-14

Title: Model Visualisation Toolbox for 'easystats' and 'ggplot2'
Description: Provides plotting utilities supporting packages in the 'easystats' ecosystem (<https://github.com/easystats/easystats>) and some extra themes, geoms, and scales for 'ggplot2'. Color scales are based on <https://materialui.co/colors>. References: Lüdecke et al. (2021) <doi:10.21105/joss.03393>.
Author: Daniel Luedecke [aut, ctb] , Dominique Makowski [aut, inv] , Indrajeet Patil [aut, cre] , Mattan S. Ben-Shachar [aut, ctb] , Brenton M. Wiernik [aut, ctb] , Philip Waggoner [aut, ctb] , Jeffrey R. Stevens [ctb] , Matthew Smith [rev] , Jakob Bossek [re [...truncated...]
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>

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Package yorkr updated to version 0.0.42 with previous version 0.0.41 dated 2023-05-08

Title: Analyze Cricket Performances Based on Data from Cricsheet
Description: Analyzing performances of cricketers and cricket teams based on 'yaml' match data from Cricsheet <https://cricsheet.org/>.
Author: Tinniam V Ganesh
Maintainer: Tinniam V Ganesh <tvganesh.85@gmail.com>

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Package mutossGUI updated to version 0.1-12 with previous version 0.1-11 dated 2017-12-04

Title: A Graphical User Interface for the MuToss Project
Description: Provides a graphical user interface for the MuToss Project.
Author: MuToss Coding Team , Gilles Blanchard, Thorsten Dickhaus, Niklas Hack, Frank Konietschke, Kornelius Rohmeyer, Jonathan Rosenblatt, Marsel Scheer, Wiebke Werft
Maintainer: Kornelius Rohmeyer <rohmeyer@small-projects.de>

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Package iNEXT updated to version 3.0.1 with previous version 3.0.0 dated 2022-08-29

Title: Interpolation and Extrapolation for Species Diversity
Description: Provides simple functions to compute and plot two types (sample-size- and coverage-based) rarefaction and extrapolation curves for species diversity (Hill numbers) based on individual-based abundance data or sampling-unit- based incidence data; see Chao and others (2014, Ecological Monographs) for pertinent theory and methodologies, and Hsieh, Ma and Chao (2016, Methods in Ecology and Evolution) for an introduction of the R package.
Author: T. C. Hsieh, K. H. Ma and Anne Chao
Maintainer: T. C. Hsieh <euler96@gmail.com>

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Package GeDS updated to version 0.2.0 with previous version 0.1.4 dated 2023-12-06

Title: Geometrically Designed Spline Regression
Description: Spline Regression, Generalized Additive Models, and Component-wise Gradient Boosting, utilizing Geometrically Designed (GeD) Splines. GeDS regression is a non-parametric method inspired by geometric principles, for fitting spline regression models with variable knots in one or two independent variables. It efficiently estimates the number of knots and their positions, as well as the spline order, assuming the response variable follows a distribution from the exponential family. GeDS models integrate the broader category of Generalized (Non-)Linear Models, offering a flexible approach to modeling complex relationships. A description of the method can be found in Kaishev et al. (2016) <doi:10.1007/s00180-015-0621-7> and Dimitrova et al. (2023) <doi:10.1016/j.amc.2022.127493>. Further extending its capabilities, GeDS's implementation includes Generalized Additive Models (GAM) and Functional Gradient Boosting (FGB), enabling versatile multivariate predictor modeling, as discuss [...truncated...]
Author: Dimitrina S. Dimitrova <D.Dimitrova@city.ac.uk>, Emilio S. Guillen <Emilio.Saenz-Guillen@bayes.city.ac.uk>, Vladimir K. Kaishev <V.Kaishev@city.ac.uk>, Andrea Lattuada <andrea.lattuada@hotmail.com> and Richard J. Verrall <R.J.Verrall@city.ac.uk>
Maintainer: Emilio S. Guillen <Emilio.Saenz-Guillen@bayes.city.ac.uk>

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Package maxLik updated to version 1.5-2.1 with previous version 1.5-2 dated 2021-07-26

Title: Maximum Likelihood Estimation and Related Tools
Description: Functions for Maximum Likelihood (ML) estimation, non-linear optimization, and related tools. It includes a unified way to call different optimizers, and classes and methods to handle the results from the Maximum Likelihood viewpoint. It also includes a number of convenience tools for testing and developing your own models.
Author: Ott Toomet [aut, cre], Arne Henningsen [aut], Spencer Graves [ctb], Yves Croissant [ctb], David Hugh-Jones [ctb], Luca Scrucca [ctb]
Maintainer: Ott Toomet <otoomet@gmail.com>

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Package margins updated to version 0.3.26.1 with previous version 0.3.26 dated 2021-01-22

Title: Marginal Effects for Model Objects
Description: An R port of Stata's 'margins' command, which can be used to calculate marginal (or partial) effects from model objects.
Author: Thomas J. Leeper [aut, cre] , Jeffrey Arnold [ctb], Vincent Arel-Bundock [ctb], Jacob A. Long [ctb]
Maintainer: Thomas J. Leeper <thosjleeper@gmail.com>

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Package kinship2 updated to version 1.9.6.1 with previous version 1.9.6 dated 2022-10-05

Title: Pedigree Functions
Description: Routines to handle family data with a pedigree object. The initial purpose was to create correlation structures that describe family relationships such as kinship and identity-by-descent, which can be used to model family data in mixed effects models, such as in the coxme function. Also includes a tool for pedigree drawing which is focused on producing compact layouts without intervention. Recent additions include utilities to trim the pedigree object with various criteria, and kinship for the X chromosome.
Author: Jason Sinnwell [aut, cre], Terry Therneau [aut], Daniel Schaid [ctb], Elizabeth Atkinson [ctb], Carly Mester [ctb]
Maintainer: Jason Sinnwell <sinnwell.jason@mayo.edu>

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Package gglasso updated to version 1.5.1 with previous version 1.5 dated 2020-03-18

Title: Group Lasso Penalized Learning Using a Unified BMD Algorithm
Description: A unified algorithm, blockwise-majorization-descent (BMD), for efficiently computing the solution paths of the group-lasso penalized least squares, logistic regression, Huberized SVM and squared SVM. The package is an implementation of Yang, Y. and Zou, H. (2015) DOI: <doi:10.1007/s11222-014-9498-5>.
Author: Yi Yang [aut, cre] , Hui Zou [aut] , Sahir Bhatnagar [aut]
Maintainer: Yi Yang <yi.yang6@mcgill.ca>

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Package rstudioapi updated to version 0.16.0 with previous version 0.15.0 dated 2023-07-07

Title: Safely Access the RStudio API
Description: Access the RStudio API (if available) and provide informative error messages when it's not.
Author: Kevin Ushey [aut, cre], JJ Allaire [aut], Hadley Wickham [aut], Gary Ritchie [aut], RStudio [cph]
Maintainer: Kevin Ushey <kevin@rstudio.com>

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Package abc.data updated to version 1.1 with previous version 1.0 dated 2015-05-05

Title: Data Only: Tools for Approximate Bayesian Computation (ABC)
Description: Contains data which are used by functions of the 'abc' package.
Author: Csillery Katalin [aut], Lemaire Louisiane [aut], Francois Olivier [aut], Blum Michael [aut, cre]
Maintainer: Blum Michael <michael.blum.temp@gmail.com>

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