Mon, 24 Apr 2023

Package wnl updated to version 0.7.3 with previous version 0.7.2 dated 2023-03-26

Title: Minimization Tool for Pharmacokinetic-Pharmacodynamic Data Analysis
Description: This is a set of minimization tools (maximum likelihood estimation and least square fitting) to solve examples in the Johan Gabrielsson and Dan Weiner's book "Pharmacokinetic and Pharmacodynamic Data Analysis - Concepts and Applications" 5th ed. (ISBN:9198299107). Examples include linear and nonlinear compartmental model, turn-over model, single or multiple dosing bolus/infusion/oral models, allometry, toxicokinetics, reversible metabolism, in-vitro/in-vivo extrapolation, enterohepatic circulation, metabolite modeling, Emax model, inhibitory model, tolerance model, oscillating response model, enantiomer interaction model, effect compartment model, drug-drug interaction model, receptor occupancy model, and rebound phenomena model.
Author: Kyun-Seop Bae [aut]
Maintainer: Kyun-Seop Bae <k@acr.kr>

Diff between wnl versions 0.7.2 dated 2023-03-26 and 0.7.3 dated 2023-04-24

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More information about wnl at CRAN
Permanent link

Package SDGdetector updated to version 2.7.2 with previous version 2.7.1 dated 2023-02-22

Title: Detect SDGs and Targets in Text
Description: Identify 17 Sustainable Development Goals and associated 169 targets in text.
Author: Yingjie Li [aut, cre] , Veronica Frans [aut] , Yongze Song [aut] , Meng Cai [aut] , Yuqian Zhang [aut] , Jianguo Liu [aut]
Maintainer: Yingjie Li <yingjieli.edu@gmail.com>

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Package recipes updated to version 1.0.6 with previous version 1.0.5 dated 2023-02-20

Title: Preprocessing and Feature Engineering Steps for Modeling
Description: A recipe prepares your data for modeling. We provide an extensible framework for pipeable sequences of feature engineering steps provides preprocessing tools to be applied to data. Statistical parameters for the steps can be estimated from an initial data set and then applied to other data sets. The resulting processed output can then be used as inputs for statistical or machine learning models.
Author: Max Kuhn [aut, cre], Hadley Wickham [aut], Emil Hvitfeldt [aut], Posit Software, PBC [cph, fnd]
Maintainer: Max Kuhn <max@posit.co>

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Package PeakSegJoint updated to version 2023.4.24 with previous version 2022.4.6 dated 2022-04-07

Title: Joint Peak Detection in Several ChIP-Seq Samples
Description: Jointly segment several ChIP-seq samples to find the peaks which are the same and different across samples. The fast approximate maximum Poisson likelihood algorithm is described in "PeakSegJoint: fast supervised peak detection via joint segmentation of multiple count data samples" <arXiv:1506.01286> by TD Hocking and G Bourque.
Author: Toby Dylan Hocking
Maintainer: Toby Dylan Hocking <toby.hocking@r-project.org>

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Package ouch updated to version 2.19 with previous version 2.18 dated 2022-05-16

Title: Ornstein-Uhlenbeck Models for Phylogenetic Comparative Hypotheses
Description: Fit and compare Ornstein-Uhlenbeck models for evolution along a phylogenetic tree.
Author: Aaron A. King [aut, cre] , Marguerite A. Butler [ctb]
Maintainer: Aaron A. King <kingaa@umich.edu>

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Package PSGD updated to version 1.0.3 with previous version 1.0.2 dated 2022-11-22

Title: Projected Subset Gradient Descent
Description: Functions to generate ensembles of generalized linear models using a greedy projected subset gradient descent algorithm. The sparsity and diversity tuning parameters are selected by cross-validation.
Author: Anthony Christidis [aut, cre], Stefan Van Aelst [aut], Ruben Zamar [aut]
Maintainer: Anthony Christidis <anthony.christidis@stat.ubc.ca>

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Package targets updated to version 1.0.0 with previous version 0.14.3 dated 2023-03-08

Title: Dynamic Function-Oriented 'Make'-Like Declarative Pipelines
Description: Pipeline tools coordinate the pieces of computationally demanding analysis projects. The 'targets' package is a 'Make'-like pipeline tool for statistics and data science in R. The package skips costly runtime for tasks that are already up to date, orchestrates the necessary computation with implicit parallel computing, and abstracts files as R objects. If all the current output matches the current upstream code and data, then the whole pipeline is up to date, and the results are more trustworthy than otherwise. The methodology in this package borrows from GNU 'Make' (2015, ISBN:978-9881443519) and 'drake' (2018, <doi:10.21105/joss.00550>).
Author: William Michael Landau [aut, cre] , Matthew T. Warkentin [ctb], Mark Edmondson [ctb] , Samantha Oliver [rev] , Tristan Mahr [rev] , Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau@gmail.com>

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Package scclust updated to version 0.2.3 with previous version 0.2.2 dated 2018-12-13

Title: Size-Constrained Clustering
Description: Provides wrappers for 'scclust', a C library for computationally efficient size-constrained clustering with near-optimal performance. See <https://github.com/fsavje/scclust> for more information.
Author: Fredrik Savje [aut, cre], Michael Higgins [aut], Jasjeet Sekhon [aut]
Maintainer: Fredrik Savje <fredrik.savje@yale.edu>

Diff between scclust versions 0.2.2 dated 2018-12-13 and 0.2.3 dated 2023-04-24

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Package rcdd updated to version 1.5-2 with previous version 1.5 dated 2021-11-18

Title: Computational Geometry
Description: R interface to (some of) cddlib (<https://github.com/cddlib/cddlib>). Converts back and forth between two representations of a convex polytope: as solution of a set of linear equalities and inequalities and as convex hull of set of points and rays. Also does linear programming and redundant generator elimination (for example, convex hull in n dimensions). All functions can use exact infinite-precision rational arithmetic.
Author: Charles J. Geyer <charlie@stat.umn.edu> and Glen D. Meeden <glen@stat.umn.edu>, incorporates code from cddlib written by Komei Fukuda <fukuda@ifor.math.ethz.ch>
Maintainer: Charles J. Geyer <charlie@stat.umn.edu>

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Package ModelMap updated to version 3.4.0.4 with previous version 3.4.0.3 dated 2023-01-06

Title: Modeling and Map Production using Random Forest and Related Stochastic Models
Description: Creates sophisticated models of training data and validates the models with an independent test set, cross validation, or Out Of Bag (OOB) predictions on the training data. Create graphs and tables of the model validation results. Applies these models to GIS .img files of predictors to create detailed prediction surfaces. Handles large predictor files for map making, by reading in the .img files in chunks, and output to the .txt file the prediction for each data chunk, before reading the next chunk of data.
Author: Elizabeth Freeman, Tracey Frescino
Maintainer: Elizabeth Freeman <elizabeth.a.freeman@usda.gov>

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Package micromap updated to version 1.9.6 with previous version 1.9.5 dated 2021-09-29

Title: Linked Micromap Plots
Description: This group of functions simplifies the creation of linked micromap plots. Please see <https://www.jstatsoft.org/v63/i02/> for additional details.
Author: Quinn Payton [aut], Tony Olsen [aut], Marc Weber [ctb], Michael McManus [ctb], Tom Kincaid [ctb], Marcus W. Beck [cre, ctb]
Maintainer: Marcus W. Beck <mbeck@tbep.org>

Diff between micromap versions 1.9.5 dated 2021-09-29 and 1.9.6 dated 2023-04-24

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Package hbamr updated to version 1.1.1 with previous version 1.0.5 dated 2023-03-14

Title: Hierarchical Bayesian Aldrich-McKelvey Scaling via 'Stan'
Description: Perform hierarchical Bayesian Aldrich-McKelvey scaling using Hamiltonian Monte Carlo via 'Stan'. Aldrich-McKelvey ('AM') scaling is a method for estimating the ideological positions of survey respondents and political actors on a common scale using positional survey data. The hierarchical versions of the Bayesian 'AM' model included in this package outperform other versions by a considerable margin both in terms of yielding meaningful posterior distributions for respondent positions and in terms of recovering true respondent positions in simulations. The package contains functions for preparing data, fitting models, extracting estimates, plotting key results, and comparing models using cross-validation. The models in this package are described in: Bølstad (forthcoming) ''Hierarchical Bayesian Aldrich-McKelvey Scaling'', Political Analysis.
Author: Joergen Boelstad [aut, cre]
Maintainer: Joergen Boelstad <jorgen.bolstad@stv.uio.no>

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More information about hbamr at CRAN
Permanent link

Package domir updated to version 1.0.1 with previous version 1.0.0 dated 2022-07-11

Title: Tools to Support Relative Importance Analysis
Description: Methods to apply decomposition-based relative importance analysis for R functions. This package supports the application of decomposition methods by providing 'lapply'- or 'Map'-like meta-functions that compute dominance analysis (Azen, R., & Budescu, D. V. (2003) <doi:10.1037/1082-989X.8.2.129>; Grömping, U. (2007) <doi:10.1198/000313007X188252>) or Shapley value regression (Lipovetsky, S., & Conklin, M. (2001) <doi:10.1002/asmb.446>) based on the values returned from other functions.
Author: Joseph Luchman [aut, cre]
Maintainer: Joseph Luchman <jluchman@gmail.com>

Diff between domir versions 1.0.0 dated 2022-07-11 and 1.0.1 dated 2023-04-24

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Permanent link

Package tipmap updated to version 0.4.1 with previous version 0.3.9 dated 2022-12-07

Title: Tipping Point Analysis for Bayesian Dynamic Borrowing
Description: Tipping point analysis for clinical trials that employ Bayesian dynamic borrowing via robust meta-analytic predictive (MAP) priors. Mainly an implementation of an approach proposed by Best and colleagues (2021) is provided <doi:10.1002/pst.2093>. Further functions facilitate the specification of the robust MAP prior via expert elicitation (using the roulette method) and computation of the posterior distribution of the treatment effect with either fixed or stochastic expert-elicited weights. Intended use is the planning, analysis and interpretation of extrapolation studies in pediatric drug development, but applicability is generally wider.
Author: Morten Dreher [aut], Christian Stock [aut, cre] , Emma Torrini [ctb]
Maintainer: Christian Stock <christian.stock@boehringer-ingelheim.com>

Diff between tipmap versions 0.3.9 dated 2022-12-07 and 0.4.1 dated 2023-04-24

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Package nngeo updated to version 0.4.7 with previous version 0.4.6 dated 2022-05-29

Title: k-Nearest Neighbor Join for Spatial Data
Description: K-nearest neighbor search for projected and non-projected 'sf' spatial layers. Nearest neighbor search uses (1) C code from 'GeographicLib' for lon-lat point layers, (2) function knn() from package 'nabor' for projected point layers, or (3) function st_distance() from package 'sf' for line or polygon layers. The package also includes several other utility functions for spatial analysis.
Author: Michael Dorman [aut, cre], Johnathan Rush [ctb], Ian Hough [ctb], Dominic Russel [ctb], Luigi Ranghetti [ctb], Attilio Benini [ctb], Arnaud Tarroux [ctb], Charles F.F Karney [ctb, cph]
Maintainer: Michael Dorman <dorman@post.bgu.ac.il>

Diff between nngeo versions 0.4.6 dated 2022-05-29 and 0.4.7 dated 2023-04-24

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Package odr updated to version 1.4.2 with previous version 1.4.1 dated 2023-04-02

Title: Optimal Design and Statistical Power for Experimental Studies Investigating Main, Mediation, and Moderation Effects
Description: Calculate the optimal sample size allocation that produces the highest statistical power for experimental studies under a budget constraint, and perform power analyses with and without accommodating cost structures of sampling. The designs cover single-level and multilevel experiments detecting main, mediation, and moderation effects (and some combinations). The references for the proposed methods include: (1) Shen, Z., & Kelcey, B. (2020). Optimal sample allocation under unequal costs in cluster-randomized trials. Journal of Educational and Behavioral Statistics, 45(4): 446-474. <doi:10.3102/1076998620912418>. (2) Shen, Z., & Kelcey, B. (2022b). Optimal sample allocation for three-level multisite cluster-randomized trials. Journal of Research on Educational Effectiveness, 15 (1), 130-150. <doi:10.1080/19345747.2021.1953200>. (3) Shen, Z., & Kelcey, B. (2022a). Optimal sample allocation in multisite randomized trials. The Journal of Experimental Education. <d [...truncated...]
Author: Zuchao Shen [aut, cre] , Benjamin Kelcey [aut]
Maintainer: Zuchao Shen <zuchao.shen@gmail.com>

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New package jdenticon with initial version 0.1.1
Package: jdenticon
Title: A Wrapper for the Node.js 'Jdenticon' Library
Version: 0.1.1
Description: A Wrapper for the Node.js 'Jdenticon' <https://jdenticon.com/> Library. Uses 'esbuild' <https://esbuild.github.io/> to reduce user dependencies.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
Imports: fs, processx, yesno, magick, glue, jsonlite
NeedsCompilation: no
Packaged: 2023-04-24 12:55:33 UTC; matthewroumaya
Author: Matt Roumaya [aut, cre, cph] , Richard D. Morey [ctb]
Maintainer: Matt Roumaya <matthewroumaya@gmail.com>
Repository: CRAN
Date/Publication: 2023-04-24 17:10:02 UTC

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New package convertbonds with initial version 0.1.0
Package: convertbonds
Title: Use the Given Parameters to Calculate the European Option Value
Version: 0.1.0
Maintainer: Tai-Sen Zheng <jc3802201@gmail.com>
Description: Calculate the theoretical value of convertible bonds by given parameters, including B-S theory and Monte Carlo method.
Imports: stats
License: GPL-2
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-04-24 09:36:34 UTC; admin
Author: Tai-Sen Zheng [aut, cre], Fischer Black [aut] , Myron Scholes [aut] , Robert C. Merton [aut] , John von Neumann [aut] , Stanislaw Ulam [aut] , Nicholas Constantine Metropolis [aut]
Repository: CRAN
Date/Publication: 2023-04-24 17:10:06 UTC

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Package PHInfiniteEstimates updated to version 2.9 with previous version 2.7 dated 2023-02-08

Title: Tools for Inference in the Presence of a Monotone Likelihood
Description: Proportional hazards estimation in the presence of a partially monotone likelihood has difficulties, in that finite estimators do not exist. These difficulties are related to those arising from logistic and multinomial regression. References for methods are given in the separate function documents. Supported by grant NSF DMS 1712839.
Author: John E. Kolassa and Juan Zhang
Maintainer: John E. Kolassa <kolassa@stat.rutgers.edu>

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Package rcompendium updated to version 1.1 with previous version 1.0 dated 2022-04-06

Title: Create a Package or Research Compendium Structure
Description: Makes easier the creation of R package or research compendium (i.e. a predefined files/folders structure) so that users can focus on the code/analysis instead of wasting time organizing files. A full ready-to-work structure is set up with some additional features: version control, remote repository creation, CI/CD configuration (check package integrity under several OS, test code with 'testthat', and build and deploy website using 'pkgdown'). This package heavily relies on the R packages 'devtools' and 'usethis' and follows recommendations made by Wickham H. (2015) <ISBN:9781491910597> and Marwick B. et al. (2018) <doi:10.7287/peerj.preprints.3192v2>.
Author: Nicolas Casajus [aut, cre, cph]
Maintainer: Nicolas Casajus <nicolas.casajus@fondationbiodiversite.fr>

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Package IDEATools updated to version 3.4.2 with previous version 3.4.1 dated 2023-03-27

Title: Individual and Group Farm Sustainability Assessments using the IDEA4 Method
Description: Collection of tools to automate the processing of data collected though the IDEA4 method (see Zahm et al. (2018) <doi:10.1051/cagri/2019004> ). Starting from the original data collecting files this packages provides functions to compute IDEA indicators, draw modern and aesthetic plots, and produce a wide range of reporting materials.
Author: David Carayon [aut, cre, cph]
Maintainer: David Carayon <david.carayon@inrae.fr>

Diff between IDEATools versions 3.4.1 dated 2023-03-27 and 3.4.2 dated 2023-04-24

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Package osmdata updated to version 0.2.2 with previous version 0.2.1 dated 2023-02-24

Title: Import 'OpenStreetMap' Data as Simple Features or Spatial Objects
Description: Download and import of 'OpenStreetMap' ('OSM') data as 'sf' or 'sp' objects. 'OSM' data are extracted from the 'Overpass' web server (<https://overpass-api.de/>) and processed with very fast 'C++' routines for return to 'R'.
Author: Mark Padgham [aut, cre], Bob Rudis [aut], Robin Lovelace [aut], Maelle Salmon [aut], Joan Maspons [aut] , Andrew Smith [ctb], James Smith [ctb], Andrea Gilardi [ctb], Enrico Spinielli [ctb], Anthony North [ctb], Martin Machyna [ctb], Marcin Kalicinsk [...truncated...]
Maintainer: Mark Padgham <mark.padgham@email.com>

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Package ggblanket updated to version 1.8.0 with previous version 1.7.0 dated 2023-03-06

Title: Simplify 'ggplot2' Visualisation
Description: Simplify 'ggplot2' visualisation with 'ggblanket' wrapper functions.
Author: David Hodge [aut, cre] , Nik Mitchell [ctb]
Maintainer: David Hodge <davidhodge931@gmail.com>

Diff between ggblanket versions 1.7.0 dated 2023-03-06 and 1.8.0 dated 2023-04-24

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Package fAssets updated to version 4023.85 with previous version 3042.84 dated 2017-11-16

Title: Rmetrics - Analysing and Modelling Financial Assets
Description: A collection of functions to manage, to investigate and to analyze data sets of financial assets from different points of view.
Author: Diethelm Wuertz [aut], Tobias Setz [aut], Yohan Chalabi [aut], Stefan Theussl [aut, cre]
Maintainer: Stefan Theussl <Stefan.Theussl@R-project.org>

Diff between fAssets versions 3042.84 dated 2017-11-16 and 4023.85 dated 2023-04-24

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New package tinyarray with initial version 2.3.0
Package: tinyarray
Title: Expression Data Analysis and Visualization
Version: 2.3.0
Maintainer: Xiaojie Sun <18763899370@163.com>
Description: Gene Expression Omnibus(GEO) and The Cancer Genome Atlas(TCGA) are common bioinformatics public databases. We integrate the regular analysis and charts for expression data, to analyze and display the data concisely and intuitively.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: BiocManager, clusterProfiler, dplyr, limma, org.Hs.eg.db, stringr, tibble, pheatmap, ggplot2, survival, survminer, patchwork, magrittr
Suggests: testthat, AnnoProbe, GEOquery, Biobase, VennDiagram, FactoMineR, factoextra, knitr, rmarkdown, cowplot, ggpubr, ggplotify, tidyr, labeling, Rtsne, scatterplot3d, ComplexHeatmap, circlize
URL: https://github.com/xjsun1221/tinyarray
BugReports: https://github.com/xjsun1221/tinyarray/issues
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2023-04-21 09:13:36 UTC; xiaojie
Author: Xiaojie Sun [aut, cre]
Repository: CRAN
Date/Publication: 2023-04-24 12:40:02 UTC

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Package mathml updated to version 0.8 with previous version 0.7 dated 2023-04-21

Title: Translate R Expressions to 'MathML' and 'LaTeX'/'MathJax'
Description: Translate R expressions to 'MathML' or 'MathJax' so that they can be rendered in 'rmarkdown' documents and shiny apps.
Author: Matthias Gondan [aut, cre, cph] , Irene Alfarone [ctb] , European Commission [fnd]
Maintainer: Matthias Gondan <Matthias.Gondan-Rochon@uibk.ac.at>

Diff between mathml versions 0.7 dated 2023-04-21 and 0.8 dated 2023-04-24

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New package Mapinguari with initial version 2.0.0
Package: Mapinguari
Title: Process-Based Biogeographical Analysis
Version: 2.0.0
Description: Facilitates the incorporation of biological processes in biogeographical analyses. It offers conveniences in fitting, comparing and extrapolating models of biological processes such as physiology and phenology. These spatial extrapolations can be informative by themselves, but also complement traditional correlative species distribution models, by mixing environmental and process-based predictors. Caetano et al (2020) <doi:10.1111/oik.07123>.
Depends: R (>= 3.5)
License: GPL-2
Encoding: UTF-8
LazyData: true
URL: https://github.com/gabrielhoc/Mapinguari
BugReports: https://github.com/gabrielhoc/Mapinguari/issues
Suggests: geosphere, mgcv
Imports: dplyr, magrittr, parallel, raster, rgdal, rlang, stringr, testthat
NeedsCompilation: no
Packaged: 2023-04-24 10:02:22 UTC; gabri
Author: Gabriel Caetano [aut, cre], Juan Santos [aut], Barry Sinervo [aut]
Maintainer: Gabriel Caetano <gabrielhoc@gmail.com>
Repository: CRAN
Date/Publication: 2023-04-24 12:50:06 UTC

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New package hierarchicalSets with initial version 1.0.4
Package: hierarchicalSets
Title: Set Data Visualization Using Hierarchies
Version: 1.0.4
Author: Thomas Lin Pedersen
Maintainer: Thomas Lin Pedersen <thomasp85@gmail.com>
Description: Pure set data visualization approaches are often limited in scalability due to the combinatorial explosion of distinct set families as the number of sets under investigation increases. hierarchicalSets applies a set centric hierarchical clustering of the sets under investigation and uses this hierarchy as a basis for a range of scalable visual representations. hierarchicalSets is especially well suited for collections of sets that describe comparable comparable entities as it relies on the sets to have a meaningful relational structure.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: TRUE
Depends: R (>= 3.2.0)
Imports: ggdendro, ggplot2 (>= 2.2.0), stats, Rcpp, scales, Matrix, MASS, RColorBrewer, gtable, grDevices, methods, utils, viridis, patchwork
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2023-04-24 09:38:29 UTC; thomas
Repository: CRAN
Date/Publication: 2023-04-24 12:50:02 UTC

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New package depigner with initial version 0.9.1
Package: depigner
Title: A Utility Package to Help you Deal with "Pignas"
Version: 0.9.1
Description: Pigna [_pìn'n'a_] is the Italian word for pine cone. In jargon, it is used to identify a task which is boring, banal, annoying, painful, frustrating and maybe even with a not so beautiful or rewarding result, just like the obstinate act of trying to challenge yourself in extracting pine nuts from a pine cone, provided that, in the end, you will find at least one inside it. Here you can find a backpack of functions to be used to solve small everyday problems of coding or analyzing (clinical) data, which would be normally solved using quick-and-dirty patches. You will be able to convert 'Hmisc' and 'rms' summary()es into data.frames ready to be rendered by 'pander' and 'knitr'. You can access easy-to-use wrappers to activate essential but useful progress bars (from 'progress') into your loops or functionals. Easy setup and control Telegram's bots (from 'telegram.bot') to send messages or to divert error messages to a Telegram's chat. You also have some utilities helping you in the devel [...truncated...]
License: GPL-3
URL: https://corradolanera.github.io/depigner/, https://github.com/CorradoLanera/depigner
BugReports: https://github.com/CorradoLanera/depigner/issues
Depends: R (>= 4.1)
Imports: desc, dplyr (>= 0.7.7), fs, ggplot2 (>= 3.1.0), Hmisc (>= 4.2.0), magrittr (>= 1.5), progress (>= 1.2.0), purrr (>= 0.2.5), readr, rlang (>= 0.2.2), rms (>= 5.1.2), rprojroot, stats, stringr (>= 1.3.1), telegram.bot (>= 2.3.0), tibble (>= 1.4.2), tidyr (>= 0.8.1), usethis (>= 1.5.0), utils
Suggests: covr (>= 3.1.0), spelling, survival, testthat (>= 3.0.0), withr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2023-04-24 00:05:56 UTC; corra
Author: Corrado Lanera [aut, cre, cph]
Maintainer: Corrado Lanera <corrado.lanera@gmail.com>
Repository: CRAN
Date/Publication: 2023-04-24 12:40:05 UTC

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Package ctrdata updated to version 1.13.0 with previous version 1.12.1 dated 2023-03-29

Title: Retrieve and Analyze Clinical Trials in Public Registers
Description: A system for querying, retrieving and analyzing protocol- and results-related information on clinical trials from four public registers, the 'European Union Clinical Trials Register' ('EUCTR', <https://www.clinicaltrialsregister.eu/>), 'ClinicalTrials.gov' ('CTGOV', <https://clinicaltrials.gov/>), the 'ISRCTN' (<http://www.isrctn.com/>) and the 'European Union Clinical Trials Information System' ('CTIS', <https://euclinicaltrials.eu/>). Trial information is downloaded, converted and stored in a database ('PostgreSQL', 'SQLite', 'DuckDB' or 'MongoDB'; via package 'nodbi'). Functions are included to identify deduplicated records, to easily find and extract variables (fields) of interest even from complex nesting as used by the registers, and to update previous queries. The package can be used for meta-analysis and trend-analysis of the design and conduct as well as for results of clinical trials.
Author: Ralf Herold [aut, cre]
Maintainer: Ralf Herold <ralf.herold@mailbox.org>

Diff between ctrdata versions 1.12.1 dated 2023-03-29 and 1.13.0 dated 2023-04-24

 DESCRIPTION                                          |   10 
 MD5                                                  |   45 +-
 NAMESPACE                                            |    1 
 NEWS.md                                              |   10 
 R/ctrdata-registers.R                                |   14 
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 R/onload.R                                           |    1 
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 inst/doc/ctrdata_install.pdf                         |binary
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 inst/doc/ctrdata_summarise.pdf                       |binary
 inst/tinytest/ctrdata_ctis.R                         |   60 +-
 inst/tinytest/ctrdata_euctr.R                        |    2 
 inst/tinytest/test_ctrdata_other_functions.R         |    3 
 inst/tinytest/test_ctrdata_sqlite_ctis.R             |only
 man/ctrGetQueryUrl.Rd                                |    8 
 man/ctrLoadQueryIntoDb.Rd                            |   12 
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 man/ctrdata-registers.Rd                             |   13 
 man/dbFindIdsUniqueTrials.Rd                         |    9 
 man/figures/README-ctrdata_results_neuroblastoma.png |binary
 vignettes/ctrdata_install.Rmd                        |   23 -
 vignettes/ctrdata_retrieve.Rmd                       |    4 
 24 files changed, 629 insertions(+), 374 deletions(-)

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Package campsis updated to version 1.4.1 with previous version 1.4.0 dated 2023-04-13

Title: Generic PK/PD Simulation Platform CAMPSIS
Description: A generic, easy-to-use and intuitive pharmacokinetic/pharmacodynamic (PK/PD) simulation platform based on R packages 'rxode2', 'RxODE' and 'mrgsolve'. CAMPSIS provides an abstraction layer over the underlying processes of writing a PK/PD model, assembling a custom dataset and running a simulation. CAMPSIS has a strong dependency to the R package 'campsismod', which allows to read/write a model from/to files and adapt it further on the fly in the R environment. Package 'campsis' allows the user to assemble a dataset in an intuitive manner. Once the user’s dataset is ready, the package is in charge of preparing the simulation, calling 'rxode2', 'RxODE' or 'mrgsolve' (at the user's choice) and returning the results, for the given model, dataset and desired simulation settings.
Author: Nicolas Luyckx [aut, cre]
Maintainer: Nicolas Luyckx <nicolas.luyckx@calvagone.com>

Diff between campsis versions 1.4.0 dated 2023-04-13 and 1.4.1 dated 2023-04-24

 DESCRIPTION                            |    6 +++---
 MD5                                    |    8 ++++----
 NEWS.md                                |    4 ++++
 tests/testthat/testSimulateArguments.R |   10 +++++++++-
 tests/testthat/testUtils.R             |   19 +++++++++++++++++--
 5 files changed, 37 insertions(+), 10 deletions(-)

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New package btergm with initial version 1.10.10
Package: btergm
Version: 1.10.10
Date: 2023-04-20
Title: Temporal Exponential Random Graph Models by Bootstrapped Pseudolikelihood
Description: Temporal Exponential Random Graph Models (TERGM) estimated by maximum pseudolikelihood with bootstrapped confidence intervals or Markov Chain Monte Carlo maximum likelihood. Goodness of fit assessment for ERGMs, TERGMs, and SAOMs. Micro-level interpretation of ERGMs and TERGMs. The methods are described in Leifeld, Cranmer and Desmarais (2018), JStatSoft <doi:10.18637/jss.v083.i06>. If the suggested speedglm cannot be found on CRAN, you can find an old version in the GitHub mirror of CRAN at <https://github.com/cran/speedglm>.
URL: https://github.com/leifeld/btergm
Encoding: UTF-8
Imports: stats, utils, methods, graphics, network (>= 1.17.1), sna (>= 2.3.2), ergm (>= 4.2.1), parallel, Matrix (>= 1.3.2), boot (>= 1.3.17), coda (>= 0.18.1), ROCR (>= 1.0.7), igraph (>= 0.7.1), statnet.common (>= 4.5.0)
Suggests: fastglm (>= 0.0.1), speedglm (>= 0.3.1), testthat, Bergm (>= 5.0.2), RSiena (>= 1.0.12.232), ggplot2 (>= 2.0.0)
Depends: R (>= 3.5)
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2023-04-20 07:38:06 UTC; philip
Author: Philip Leifeld [aut, cre], Skyler J. Cranmer [ctb], Bruce A. Desmarais [ctb]
Maintainer: Philip Leifeld <philip.leifeld@essex.ac.uk>
Repository: CRAN
Date/Publication: 2023-04-24 12:40:14 UTC

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Package mizer (with last version 2.4.0) was removed from CRAN

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

2022-12-23 2.4.0
2022-07-06 2.3.1
2021-09-15 2.3.0.1
2021-09-11 2.3.0
2021-08-03 2.2.1
2021-06-24 2.2.0
2021-03-21 2.1.0
2020-08-30 2.0.4
2020-07-28 2.0.3
2020-06-08 2.0.2
2020-05-05 2.0.1
2020-04-04 2.0.0
2019-01-27 1.0.1
2018-04-30 1.0
2017-12-14 0.4
2014-04-16 0.2
2013-10-08 0.1

Permanent link
Package Xplortext updated to version 1.5.2 with previous version 1.5.1 dated 2022-06-22

Title: Statistical Analysis of Textual Data
Description: Provides a set of functions devoted to multivariate exploratory statistics on textual data. Classical methods such as correspondence analysis and agglomerative hierarchical clustering are available. Chronologically constrained agglomerative hierarchical clustering enriched with labelled-by-words trees is offered. Given a division of the corpus into parts, their characteristic words and documents are identified. Further, accessing to 'FactoMineR' functions is very easy. Two of them are relevant in textual domain. MFA() addresses multiple lexical table allowing applications such as dealing with multilingual corpora as well as simultaneously analyzing both open-ended and closed questions in surveys. See <http://xplortext.unileon.es> for examples.
Author: Monica Becue-Bertaut, Ramon Alvarez-Esteban, Josep-Anton Sanchez-Espigares, Belchin Kostov
Maintainer: Ramon Alvarez-Esteban <ramon.alvarez@unileon.es>

Diff between Xplortext versions 1.5.1 dated 2022-06-22 and 1.5.2 dated 2023-04-24

 DESCRIPTION              |   24 -
 MD5                      |   35 +
 NAMESPACE                |    1 
 R/LexChar.R              |  831 ++++++++++++++++++++++++++++-------------------
 R/LexGalt.R              |   66 ++-
 R/TextData.R             |    9 
 R/plot.LexChar.R         |  383 +++++++++++----------
 R/plot.TextData.R        |  466 ++++++++++++++++++++------
 R/print.LexChar.R        |   77 ++--
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 man/LexGalt.Rd           |    4 
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 19 files changed, 1262 insertions(+), 791 deletions(-)

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New package SpPOP with initial version 0.1.0
Package: SpPOP
Title: Generation of Spatial Population under Different Levels of Relationships among Variables
Version: 0.1.0
Author: Nobin Chandra Paul, Anil Rai, Ankur Biswas, Tauqueer Ahmad and Prachi Misra Sahoo
Maintainer: Nobin Chandra Paul<nobin.niasm@outlook.com>
Description: The developed package can be used to generate a spatial population for different levels of relationships among the dependent and auxiliary variables along with spatially varying model parameters. A spatial layout is designed as a [0,k-1]x[0,k-1] square region on which observations are collected at (k x k) lattice points with a unit distance between any two neighbouring points along the horizontal and vertical axes. For method details see Chao, Liu., Chuanhua, Wei. and Yunan, Su. (2018).<doi:10.1080/10485252.2018.1499907>. The generated spatial population can be utilized in Geographically Weighted Regression model based analysis for studying the spatially varying relationships among the variables. Furthermore, various statistical analysis can be performed on this spatially generated data.
Imports: stats, qpdf, numbers
License: GPL (>= 2.0)
Encoding: UTF-8
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-04-24 07:04:05 UTC; nobin ch paul
Repository: CRAN
Date/Publication: 2023-04-24 10:00:10 UTC

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New package rcccd with initial version 0.3.2
Package: rcccd
Title: Class Cover Catch Digraph Classification
Version: 0.3.2
Description: Fit Class Cover Catch Digraph Classification models that can be used in machine learning. Pure and proper and random walk approaches are available. Methods are explained in Priebe et al. (2001) <doi:10.1016/S0167-7152(01)00129-8>, Priebe et al. (2003) <doi:10.1007/s00357-003-0003-7>, and Manukyan and Ceyhan (2016) <doi:10.48550/arXiv.1904.04564>.
Depends: R (>= 4.2)
License: MIT + file LICENSE
Encoding: UTF-8
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, RANN, Rfast, proxy
NeedsCompilation: yes
Packaged: 2023-04-22 15:24:40 UTC; Fatih
Author: Fatih Saglam [aut, cre]
Maintainer: Fatih Saglam <saglamf89@gmail.com>
Repository: CRAN
Date/Publication: 2023-04-24 09:50:02 UTC

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New package MHD with initial version 0.1.1
Package: MHD
Title: Metric Halfspace Depth
Version: 0.1.1
Date: 2023-4-20
Description: Metric halfspace depth for object data, generalizing Tukey's depth for Euclidean data. Implementing the method described in Dai and Lopez-Pintado (2022) <doi:10.1080/01621459.2021.2011298>.
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.3), manifold, nloptr, distory, plyr
Suggests: foreach
LinkingTo: Rcpp
Depends: R (>= 3.2.1)
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2023-04-23 20:50:40 UTC; xdai
Author: Xiongtao Dai [aut, cre]
Maintainer: Xiongtao Dai <xdai@berkeley.edu>
Repository: CRAN
Date/Publication: 2023-04-24 10:00:13 UTC

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New package markovmix with initial version 0.1.0
Package: markovmix
Title: Mixture of Markov Chains with Support of Higher Orders and Multiple Sequences
Version: 0.1.0
Maintainer: Xiurui Zhu <zxr6@163.com>
Description: Fit mixture of Markov chains of higher orders from multiple sequences. It is also compatible with ordinary 1-component, 1-order or single-sequence Markov chains. In addition to the fit function, custom print() and predict() functions are also provided <https://github.com/zhuxr11/markovmix#examples-of-fitting-mixture-of-markov-chains>.
License: MIT + file LICENSE
Depends: R (>= 3.5.0)
Imports: dplyr (>= 1.0.8), forcats (>= 1.0.0), purrr (>= 0.3.4), Rcpp, rlang (>= 1.1.0), tibble (>= 3.1.6), tidyr (>= 1.2.0)
Suggests: bench (>= 1.1.2), covr, ggplot2 (>= 3.4.2), testthat (>= 3.1.7)
LinkingTo: Rcpp
Encoding: UTF-8
LazyData: true
URL: https://github.com/zhuxr11/markovmix
BugReports: https://github.com/zhuxr11/markovmix/issues
NeedsCompilation: yes
Packaged: 2023-04-23 16:11:30 UTC; Xiurui Zhu
Author: Xiurui Zhu [aut, cre]
Repository: CRAN
Date/Publication: 2023-04-24 09:50:05 UTC

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New package grateful with initial version 0.2.0
Package: grateful
Title: Facilitate Citation of R Packages
Version: 0.2.0
Description: Facilitates the citation of R packages used in analysis projects. Scans project for packages used, gets their citations, and produces a document with citations in the preferred bibliography format, ready to be pasted into reports or manuscripts. Alternatively, 'grateful' can be used directly within an 'R Markdown' or 'Quarto' document.
License: MIT + file LICENSE
URL: https://pakillo.github.io/grateful/
BugReports: https://github.com/Pakillo/grateful/issues
Depends: R (>= 3.0.0)
Imports: knitr, remotes, renv, rmarkdown, rstudioapi, utils
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-04-24 08:33:06 UTC; frs
Author: Francisco Rodriguez-Sanchez [aut, cre, cph] , Connor P. Jackson [aut] , Shaurita D. Hutchins [ctb]
Maintainer: Francisco Rodriguez-Sanchez <f.rodriguez.sanc@gmail.com>
Repository: CRAN
Date/Publication: 2023-04-24 10:00:02 UTC

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New package fxl with initial version 1.6.3
Package: fxl
Title: 'fxl' Single Case Design Charting Package
Version: 1.6.3
Suggests: covr, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Description: The 'fxl' Charting package is used to prepare and design single case design figures that are typically prepared in spreadsheet software. With 'fxl', there is no need to leave the R environment to prepare these works.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1), rlang, grImport
NeedsCompilation: no
Packaged: 2023-04-24 03:37:42 UTC; shawngilroy
Author: Shawn Gilroy [aut, cre, cph]
Maintainer: Shawn Gilroy <sgilroy1@lsu.edu>
Repository: CRAN
Date/Publication: 2023-04-24 10:00:06 UTC

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Package jacobi updated to version 2.3.0 with previous version 2.2.0 dated 2023-03-24

Title: Jacobi Theta Functions and Related Functions
Description: Evaluation of the Jacobi theta functions and related functions: Weierstrass elliptic function, Weierstrass sigma function, Weierstrass zeta function, Klein j-function, Dedekind eta function, lambda modular function, Jacobi elliptic functions, Neville theta functions, Eisenstein series, lemniscate elliptic functions, and Dixon elliptic functions. Complex values of the variable are supported.
Author: Stephane Laurent [aut, cre], Mikael Fremling [aut]
Maintainer: Stephane Laurent <laurent_step@outlook.fr>

Diff between jacobi versions 2.2.0 dated 2023-03-24 and 2.3.0 dated 2023-04-24

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 MD5                              |   16 +++++++++++-----
 NAMESPACE                        |    8 ++++++++
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Package emba (with last version 0.1.8) was removed from CRAN

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

2021-01-06 0.1.8
2020-09-22 0.1.7
2020-07-08 0.1.6
2020-07-01 0.1.5
2020-04-14 0.1.4
2020-02-06 0.1.2
2019-10-21 0.1.1

Permanent link
Package rTLS (with last version 0.2.5.6) was removed from CRAN

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

2022-12-20 0.2.5.6

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Package grpSLOPE (with last version 0.3.1) was removed from CRAN

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

2022-05-16 0.3.1
2020-04-07 0.3.0
2016-11-20 0.2.1
2016-10-20 0.2.0
2016-04-24 0.1.0

Permanent link
Package NMproject (with last version 0.6.9) was removed from CRAN

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

2022-09-29 0.6.9
2022-09-05 0.6.8
2021-10-17 0.6.7
2021-09-02 0.6.5
2021-08-18 0.6.4
2021-08-09 0.6.2

Permanent link
Package mapsRinteractive updated to version 2.0.1 with previous version 1.0.1 dated 2020-12-01

Title: Local Adaptation and Evaluation of Raster Maps
Description: Local adaptation and evaluation of maps of continuous attributes in raster format by use of point location data.
Author: Kristin Persson [aut, cre, cph], Mats Soderstrom [ctb, cph], John Mutua [ctb]
Maintainer: Kristin Persson <kristin.persson@slu.se>

Diff between mapsRinteractive versions 1.0.1 dated 2020-12-01 and 2.0.1 dated 2023-04-24

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 mapsRinteractive-2.0.1/mapsRinteractive/NAMESPACE               |    8 
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Package cml updated to version 0.2.2 with previous version 0.1.0 dated 2022-11-15

Title: Conditional Manifold Learning
Description: Finds a low-dimensional embedding of high-dimensional data, conditioning on available manifold information. The current version supports conditional MDS (based on either conditional SMACOF in Bui (2021) <arXiv:2111.13646> or closed-form solution in Bui (2022) <doi:10.1016/j.patrec.2022.11.007>) and conditional ISOMAP in Bui (2021) <arXiv:2111.13646>.
Author: Anh Tuan Bui [aut, cre]
Maintainer: Anh Tuan Bui <atbui@u.northwestern.edu>

Diff between cml versions 0.1.0 dated 2022-11-15 and 0.2.2 dated 2023-04-24

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Package parabar updated to version 1.0.3 with previous version 0.10.1 dated 2023-02-28

Title: Progress Bar for Parallel Tasks
Description: A simple interface in the form of R6 classes for executing tasks in parallel, tracking their progress, and displaying accurate progress bars.
Author: Mihai Constantin [aut, cre]
Maintainer: Mihai Constantin <mihai@mihaiconstantin.com>

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Package ggDCA (with last version 1.1) was removed from CRAN

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

2020-09-06 1.1
2020-08-24 1.0

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Package agroclim (with last version 0.3.0) was removed from CRAN

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

2022-10-14 0.3.0
2022-04-08 0.2.0

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Package depigner (with last version 0.9.0) was removed from CRAN

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

2022-09-30 0.9.0
2021-01-11 0.8.4
2020-10-02 0.8.3
2020-06-26 0.8.1

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Package SamplerCompare updated to version 1.3.4 with previous version 1.3.2 dated 2021-10-22

Title: A Framework for Comparing the Performance of MCMC Samplers
Description: A framework for running sets of MCMC samplers on sets of distributions with a variety of tuning parameters, along with plotting functions to visualize the results of those simulations.
Author: Madeleine Thompson, except dchud.f and dchdd.f, which were written by G. W. Stewart.
Maintainer: Madeleine Thompson <madeleineth@gmail.com>

Diff between SamplerCompare versions 1.3.2 dated 2021-10-22 and 1.3.4 dated 2023-04-24

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Package hdnom updated to version 6.0.2 with previous version 6.0.1 dated 2022-05-18

Title: Benchmarking and Visualization Toolkit for Penalized Cox Models
Description: Creates nomogram visualizations for penalized Cox regression models, with the support of reproducible survival model building, validation, calibration, and comparison for high-dimensional data.
Author: Nan Xiao [aut, cre] , Qing-Song Xu [aut], Miao-Zhu Li [aut], Frank Harrell [ctb] , Sergej Potapov [ctb] , Werner Adler [ctb] , Matthias Schmid [ctb]
Maintainer: Nan Xiao <me@nanx.me>

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Package SurrogateRsq updated to version 0.2.1 with previous version 0.2.0 dated 2023-02-15

Title: Goodness-of-Fit Analysis for Categorical Data using the Surrogate R-Squared
Description: To assess and compare the models' goodness of fit, R-squared is one of the most popular measures. For categorical data analysis, however, no universally adopted R-squared measure can resemble the ordinary least square (OLS) R-squared for linear models with continuous data. This package implement the surrogate R-squared measure for categorical data analysis, which is proposed in the study of Dungang Liu, Xiaorui Zhu, Brandon Greenwell, and Zewei Lin (2022) <doi:10.1111/bmsp.12289>. It can generate a point or interval measure of the surrogate R-squared. It can also provide a ranking measure of the percentage contribution of each variable to the overall surrogate R-squared. This ranking assessment allows one to check the importance of each variable in terms of their explained variance. This package can be jointly used with other existing R packages for variable selection and model diagnostics in the model-building process.
Author: Xiaorui Zhu [aut, cre, cph], Dungang Liu [ctb], Zewei Lin [ctb], Brandon Greenwell [ctb]
Maintainer: Xiaorui (Jeremy) Zhu <zhuxiaorui1989@gmail.com>

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