Mon, 01 Jul 2024

Package Cubist updated to version 0.4.4 with previous version 0.4.2.1 dated 2023-03-09

Title: Rule- And Instance-Based Regression Modeling
Description: Regression modeling using rules with added instance-based corrections.
Author: Max Kuhn [aut, cre], Steve Weston [ctb], Chris Keefer [ctb], Nathan Coulter [ctb], Ross Quinlan [aut] , Rulequest Research Pty Ltd. [cph]
Maintainer: Max Kuhn <mxkuhn@gmail.com>

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Package inlabru updated to version 2.11.1 with previous version 2.10.1 dated 2023-12-20

Title: Bayesian Latent Gaussian Modelling using INLA and Extensions
Description: Facilitates spatial and general latent Gaussian modeling using integrated nested Laplace approximation via the INLA package (<https://www.r-inla.org>). Additionally, extends the GAM-like model class to more general nonlinear predictor expressions, and implements a log Gaussian Cox process likelihood for modeling univariate and spatial point processes based on ecological survey data. Model components are specified with general inputs and mapping methods to the latent variables, and the predictors are specified via general R expressions, with separate expressions for each observation likelihood model in multi-likelihood models. A prediction method based on fast Monte Carlo sampling allows posterior prediction of general expressions of the latent variables. Ecology-focused introduction in Bachl, Lindgren, Borchers, and Illian (2019) <doi:10.1111/2041-210X.13168>.
Author: Finn Lindgren [aut, cre, cph] , Fabian E. Bachl [aut, cph] , David L. Borchers [ctb, dtc, cph] , Daniel Simpson [ctb, cph] , Lindesay Scott-Howard [ctb, dtc, cph] , Seaton Andy [ctb] , Suen Man Ho [ctb, cph] , Roudier Pierre [ctb, cph] , Meehan Tim [ [...truncated...]
Maintainer: Finn Lindgren <finn.lindgren@gmail.com>

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Package ieugwasr updated to version 1.0.1 with previous version 1.0.0 dated 2024-04-22

Title: Interface to the 'OpenGWAS' Database API
Description: Interface to the 'OpenGWAS' database API <https://gwas-api.mrcieu.ac.uk/>. Includes a wrapper to make generic calls to the API, plus convenience functions for specific queries.
Author: Gibran Hemani [aut, cre, cph] , Ben Elsworth [aut] , Tom Palmer [aut] , Rita Rasteiro [aut]
Maintainer: Gibran Hemani <g.hemani@bristol.ac.uk>

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Package WordListsAnalytics updated to version 0.2.3 with previous version 0.2.2 dated 2024-05-06

Title: Multiple Data Analysis Tools for Property Listing Tasks
Description: Application to estimate statistical values using properties provided by a group of individuals to describe concepts using 'shiny'. It estimates the underlying distribution to generate new descriptive words Canessa et al. (2023) <doi:10.3758/s13428-022-01811-w>, applies a new clustering model, and uses simulations to estimate the probability that two persons describe the same words based on their descriptions Canessa et al. (2022) <doi:10.3758/s13428-022-02030-z>.
Author: Sebastian Moreno [aut, cre], Cristobal Heredia [aut], Enrique Canessa [ths], Sergio Chaigneau [ths]
Maintainer: Sebastian Moreno <sebastian.moreno.araya@gmail.com>

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Package vectorsurvR updated to version 0.2.0 with previous version 0.1.0 dated 2024-04-16

Title: Data Access and Analytical Tools for 'VectorSurv' Users
Description: Allows registered 'VectorSurv' <https://vectorsurv.org/> users access to data through the 'VectorSurv API' <https://api.vectorsurv.org/>. Additionally provides functions for analysis and visualization.
Author: Christina De Cesaris [aut, cre]
Maintainer: Christina De Cesaris <cmdecesaris@ucdavis.edu>

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Package mpmsim updated to version 3.0.0 with previous version 2.0.0 dated 2024-01-15

Title: Simulation of Matrix Population Models with Defined Life History Characteristics
Description: Allows users to simulate matrix population models with particular characteristics based on aspects of life history such as mortality trajectories and fertility trajectories. Also allows the exploration of sampling error due to small sample size.
Author: Owen Jones [aut, cre]
Maintainer: Owen Jones <jones@biology.sdu.dk>

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Package LKT updated to version 1.7.0 with previous version 1.6.0 dated 2023-12-11

Title: Logistic Knowledge Tracing
Description: Computes Logistic Knowledge Tracing ('LKT') which is a general method for tracking human learning in an educational software system. Please see Pavlik, Eglington, and Harrel-Williams (2021) <https://ieeexplore.ieee.org/document/9616435>. 'LKT' is a method to compute features of student data that are used as predictors of subsequent performance. 'LKT' allows great flexibility in the choice of predictive components and features computed for these predictive components. The system is built on top of 'LiblineaR', which enables extremely fast solutions compared to base glm() in R.
Author: Philip I. Pavlik Jr. [aut, ctb, cre] , Luke G. Eglington [aut, ctb]
Maintainer: Philip I. Pavlik Jr. <imrryr@gmail.com>

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Package b64 updated to version 0.1.1 with previous version 0.1.0 dated 2024-01-15

Title: Fast and Vectorized Base 64 Engine
Description: Provides a fast, lightweight, and vectorized base 64 engine to encode and decode character and raw vectors as well as files stored on disk. Common base 64 alphabets are supported out of the box including the standard, URL-safe, bcrypt, crypt, 'BinHex', and IMAP-modified UTF-7 alphabets. Custom engines can be created to support unique base 64 encoding and decoding needs.
Author: Josiah Parry [aut, cre] , Etienne Bacher [ctb]
Maintainer: Josiah Parry <josiah.parry@gmail.com>

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Package rempsyc updated to version 0.1.8 with previous version 0.1.7 dated 2023-10-09

Title: Convenience Functions for Psychology
Description: Make your workflow faster and easier. Easily customizable plots (via 'ggplot2'), nice APA tables (following the style of the *American Psychological Association*) exportable to Word (via 'flextable'), easily run statistical tests or check assumptions, and automatize various other tasks.
Author: Remi Theriault [aut, cre]
Maintainer: Remi Theriault <remi.theriault@mail.mcgill.ca>

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Package IncidencePrevalence updated to version 0.7.4 with previous version 0.7.3 dated 2024-06-15

Title: Estimate Incidence and Prevalence using the OMOP Common Data Model
Description: Calculate incidence and prevalence using data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model. Incidence and prevalence can be estimated for the total population in a database or for a stratification cohort.
Author: Edward Burn [aut, cre] , Berta Raventos [aut] , Marti Catala [aut] , Mike Du [ctb] , Yuchen Guo [ctb] , Adam Black [ctb] , Ger Inberg [ctb] , Kim Lopez [ctb]
Maintainer: Edward Burn <edward.burn@ndorms.ox.ac.uk>

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Package lavaanExtra updated to version 0.2.1 with previous version 0.2.0 dated 2023-10-15

Title: Convenience Functions for Package 'lavaan'
Description: Affords an alternative, vector-based syntax to 'lavaan', as well as other convenience functions such as naming paths and defining indirect links automatically, in addition to convenience formatting optimized for a publication and script sharing workflow.
Author: Remi Theriault [aut, cre]
Maintainer: Remi Theriault <remi.theriault@mail.mcgill.ca>

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Package ProjectTemplate updated to version 0.11.0 with previous version 0.10.4 dated 2023-11-19

Title: Automates the Creation of New Statistical Analysis Projects
Description: Provides functions to automatically build a directory structure for a new R project. Using this structure, 'ProjectTemplate' automates data loading, preprocessing, library importing and unit testing.
Author: Aleksandar Blagotic [ctb], Diego Valle-Jones [ctb], Jeffrey Breen [ctb], Joakim Lundborg [ctb], John Myles White [aut, cph], Josh Bode [ctb], Kenton White [ctb, cre], Kirill Mueller [ctb], Matteo Redaelli [ctb], Noah Lorang [ctb], Patrick Schalk [ctb [...truncated...]
Maintainer: Kenton White <jkentonwhite@gmail.com>

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Package LatentBMA updated to version 0.1.1 with previous version 0.1.0 dated 2024-06-27

Title: Bayesian Model Averaging for Univariate Link Latent Gaussian Models
Description: Bayesian model averaging (BMA) algorithms for univariate link latent Gaussian models (ULLGMs). For detailed information, refer to Steel M.F.J. & Zens G. (2024) "Model Uncertainty in Latent Gaussian Models with Univariate Link Function" <doi:10.48550/arXiv.2406.17318>. The package supports various g-priors and a beta-binomial prior on the model space. It also includes auxiliary functions for visualizing and tabulating BMA results. Currently, it offers an out-of-the-box solution for model averaging of Poisson log-normal (PLN) and binomial logistic-normal (BiL) models. The codebase is designed to be easily extendable to other likelihoods, priors, and link functions.
Author: Gregor Zens [aut, cre], Mark F.J. Steel [aut]
Maintainer: Gregor Zens <zens@iiasa.ac.at>

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Package jagshelper updated to version 0.2.4 with previous version 0.2.3 dated 2024-04-30

Title: Extracting and Visualizing Output from 'jagsUI'
Description: Tools are provided to streamline Bayesian analyses in 'JAGS' using the 'jagsUI' package. Included are functions for extracting output in simpler format, functions for streamlining assessment of convergence, and functions for producing summary plots of output. Also included is a function that provides a simple template for running 'JAGS' from 'R'. Referenced materials can be found at <DOI:10.1214/ss/1177011136>.
Author: Matt Tyers [aut, cre]
Maintainer: Matt Tyers <matttyersstat@gmail.com>

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Package databraryr updated to version 0.6.5 with previous version 0.6.4 dated 2024-04-18

Title: Interact with the 'Databrary.org' API
Description: 'Databrary.org' is a restricted access repository for research data, especially video and audio. This package provides commands to interact with the data stored on 'Databrary.org'.
Author: Rick O. Gilmore [aut, cre, cph], Jeffrey Spies [aut], National Science Foundation OAC-2032713 [fnd], National Institutes of Health R01HD094830 [fnd]
Maintainer: Rick O. Gilmore <rog1@psu.edu>

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Package attachment updated to version 0.4.2 with previous version 0.4.1 dated 2024-01-22

Title: Deal with Dependencies
Description: Manage dependencies during package development. This can retrieve all dependencies that are used in ".R" files in the "R/" directory, in ".Rmd" files in "vignettes/" directory and in 'roxygen2' documentation of functions. There is a function to update the "DESCRIPTION" file of your package with 'CRAN' packages or any other remote package. All functions to retrieve dependencies of ".R" scripts and ".Rmd" or ".qmd" files can be used independently of a package development.
Author: Sebastien Rochette [cre, aut] , Vincent Guyader [aut] , Murielle Delmotte [aut] , Swann Floc'hlay [aut] , ThinkR [cph, fnd]
Maintainer: Sebastien Rochette <sebastien@thinkr.fr>

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Package ThomasJeffersonUniv updated to version 0.1.3 with previous version 0.1.2 dated 2024-04-30

Title: Handy Tools for TJU/TJUH Employees
Description: Functions for admin needs of employees of Thomas Jefferson University and Thomas Jefferson University Hospital, Philadelphia, PA.
Author: Tingting Zhan [aut, cre, cph]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>

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Package nanoparquet updated to version 0.3.1 with previous version 0.3.0 dated 2024-06-17

Title: Read and Write 'Parquet' Files
Description: Self-sufficient reader and writer for flat 'Parquet' files. Can read most 'Parquet' data types. Can write many 'R' data types, including factors and temporal types. See docs for limitations.
Author: Gabor Csardi [aut, cre], Hannes Muehleisen [aut, cph] , Google Inc. [cph], Apache Software Foundation [cph], Posit Software, PBC [cph], RAD Game Tools [cph], Valve Software [cph], Tenacious Software LLC [cph], Facebook, Inc. [cph]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

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Package Langevin updated to version 1.3.2 with previous version 1.3.1 dated 2021-10-19

Title: Langevin Analysis in One and Two Dimensions
Description: Estimate drift and diffusion functions from time series and generate synthetic time series from given drift and diffusion coefficients.
Author: Philip Rinn [aut, cre], Pedro G. Lind [aut], David Bastine [ctb]
Maintainer: Philip Rinn <philip.rinn@uni-oldenburg.de>

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Package emmeans updated to version 1.10.3 with previous version 1.10.2 dated 2024-05-19

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], Julia Piaskowski [ctb], Hannes Riebl [ctb], Henrik Singmann [ctb]
Maintainer: Russell V. Lenth <russell-lenth@uiowa.edu>

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Package tbea updated to version 1.5.0 with previous version 1.4.2 dated 2024-06-04

Title: Pre- And Post-Processing in Bayesian Evolutionary Analyses
Description: Functions are provided for prior specification in divergence time estimation using fossils as well as other kinds of data. It provides tools for interacting with the input and output of Bayesian platforms in evolutionary biology such as 'BEAST2', 'MrBayes', 'RevBayes', or 'MCMCTree'. It Implements a simple measure similarity between probability density functions for comparing prior and posterior Bayesian densities, as well as code for calculating the combination of distributions using conflation of Hill (2008). Functions for estimating the origination time in collections of distributions using the x-intercept (e.g., Draper and Smith, 1998) and stratigraphic intervals (Marshall 2010) are also available. Hill, T. 2008. "Conflations of probability distributions". Transactions of the American Mathematical Society, 363:3351-3372. <doi:10.48550/arXiv.0808.1808>, Draper, N. R. and Smith, H. 1998. "Applied Regression Analysis". 1--706. Wiley Interscience, New York. <DOI:10.1002/978111 [...truncated...]
Author: Gustavo A. Ballen [aut, cre], Sandra Reinales [aut]
Maintainer: Gustavo A. Ballen <gustavo.a.ballen@gmail.com>

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Package pomp updated to version 5.10 with previous version 5.9 dated 2024-06-02

Title: Statistical Inference for Partially Observed Markov Processes
Description: Tools for data analysis with partially observed Markov process (POMP) models (also known as stochastic dynamical systems, hidden Markov models, and nonlinear, non-Gaussian, state-space models). The package provides facilities for implementing POMP models, simulating them, and fitting them to time series data by a variety of frequentist and Bayesian methods. It is also a versatile platform for implementation of inference methods for general POMP models.
Author: Aaron A. King [aut, cre] , Edward L. Ionides [aut] , Carles Breto [aut] , Stephen P. Ellner [ctb] , Matthew J. Ferrari [ctb] , Sebastian Funk [ctb] , Steven G. Johnson [ctb], Bruce E. Kendall [ctb] , Michael Lavine [ctb], Dao Nguyen [ctb] , Eamon B. [...truncated...]
Maintainer: Aaron A. King <kingaa@umich.edu>

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Package parallelpam updated to version 1.4.2 with previous version 1.4 dated 2023-10-09

Title: Parallel Partitioning-Around-Medoids (PAM) for Big Sets of Data
Description: Application of the Partitioning-Around-Medoids (PAM) clustering algorithm described in Schubert, E. and Rousseeuw, P.J.: "Fast and eager k-medoids clustering: O(k) runtime improvement of the PAM, CLARA, and CLARANS algorithms." Information Systems, vol. 101, p. 101804, (2021). <doi:10.1016/j.is.2021.101804>. It uses a binary format for storing and retrieval of matrices developed for the 'jmatrix' package but the functionality of 'jmatrix' is included here, so you do not need to install it. Also, it is used by package 'scellpam', so if you have installed it, you do not need to install this package. PAM can be applied to sets of data whose dissimilarity matrix can be very big. It has been tested with up to 100.000 points. It does this with the help of the code developed for other package, 'jmatrix', which allows the matrix not to be loaded in 'R' memory (which would force it to be of double type) but it gets from disk, which allows using float (or even smaller data types). Moreover [...truncated...]
Author: Juan Domingo [aut, cre] , Guillermo Ayala [ctb] , Spanish Ministry of Science and Innovation, MCIN/AEI <doi:10.13039/501100011033> [fnd]
Maintainer: Juan Domingo <Juan.Domingo@uv.es>

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More information about parallelpam at CRAN
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Package DeepLearningCausal updated to version 0.0.103 with previous version 0.0.102 dated 2024-06-18

Title: Causal Inference with Super Learner and Deep Neural Networks
Description: Functions to estimate Conditional Average Treatment Effects (CATE) and Population Average Treatment Effects on the Treated (PATT) from experimental or observational data using the Super Learner (SL) ensemble method and Deep neural networks. The package first provides functions to implement meta-learners such as the Single-learner (S-learner) and Two-learner (T-learner) described in KĂĽnzel et al. (2019) <doi:10.1073/pnas.1804597116> for estimating the CATE. The S- and T-learner are each estimated using the SL ensemble method and deep neural networks. It then provides functions to implement the Ottoboni and Poulos (2020) <doi:10.1515/jci-2018-0035> PATT-C estimator to obtain the PATT from experimental data with noncompliance by using the SL ensemble method and deep neural networks.
Author: Nguyen K. Huynh [aut, cre] , Bumba Mukherjee [aut] , Irvin Lee [aut]
Maintainer: Nguyen K. Huynh <khoinguyen.huynh@r.hit-u.ac.jp>

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More information about DeepLearningCausal at CRAN
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Package robustbase updated to version 0.99-3 with previous version 0.99-2 dated 2024-01-27

Title: Basic Robust Statistics
Description: "Essential" Robust Statistics. Tools allowing to analyze data with robust methods. This includes regression methodology including model selections and multivariate statistics where we strive to cover the book "Robust Statistics, Theory and Methods" by 'Maronna, Martin and Yohai'; Wiley 2006.
Author: Martin Maechler [aut, cre] , Peter Rousseeuw [ctb] , Christophe Croux [ctb] , Valentin Todorov [aut] , Andreas Ruckstuhl [aut] , Matias Salibian-Barrera [aut] , Tobias Verbeke [ctb, fnd] , Manuel Koller [aut] , Eduardo L. T. Conceicao [aut] , Maria A [...truncated...]
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

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More information about robustbase at CRAN
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Package luajr updated to version 0.1.8 with previous version 0.1.7 dated 2024-04-24

Title: 'LuaJIT' Scripting
Description: An interface to 'LuaJIT' <https://luajit.org>, a just-in-time compiler for the 'Lua' scripting language <https://www.lua.org>. Allows users to run 'Lua' code from 'R'.
Author: Mike Pall [aut, cph] , Lua.org, PUC-Rio [cph] , Nicholas Davies [cre, ctb, cph]
Maintainer: Nicholas Davies <nicholas.davies@lshtm.ac.uk>

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Package chem16S updated to version 1.1.0 with previous version 1.0.0 dated 2023-07-17

Title: Chemical Metrics for Microbial Communities
Description: Combines taxonomic classifications of high-throughput 16S rRNA gene sequences with reference proteomes of archaeal and bacterial taxa to generate amino acid compositions of community reference proteomes. Calculates chemical metrics including carbon oxidation state ('Zc'), stoichiometric oxidation and hydration state ('nO2' and 'nH2O'), H/C, N/C, O/C, and S/C ratios, grand average of hydropathicity ('GRAVY'), isoelectric point ('pI'), protein length, and average molecular weight of amino acid residues. Uses precomputed reference proteomes for archaea and bacteria derived from the Genome Taxonomy Database ('GTDB'). Also includes reference proteomes derived from the NCBI Reference Sequence ('RefSeq') database and manual mapping from the 'RDP Classifier' training set to 'RefSeq' taxonomy as described by Dick and Tan (2023) <doi:10.1007/s00248-022-01988-9>. Processes taxonomic classifications in 'RDP Classifier' format or OTU tables in 'phyloseq-class' objects from the Bioconductor pa [...truncated...]
Author: Jeffrey Dick [aut, cre]
Maintainer: Jeffrey Dick <j3ffdick@gmail.com>

Diff between chem16S versions 1.0.0 dated 2023-07-17 and 1.1.0 dated 2024-07-01

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Package bibliometrix updated to version 4.3.0 with previous version 4.2.3 dated 2024-05-24

Title: Comprehensive Science Mapping Analysis
Description: Tool for quantitative research in scientometrics and bibliometrics. It implements the comprehensive workflow for science mapping analysis proposed in Aria M. and Cuccurullo C. (2017) <doi:10.1016/j.joi.2017.08.007>. 'bibliometrix' provides various routines for importing bibliographic data from 'SCOPUS', 'Clarivate Analytics Web of Science' (<https://www.webofknowledge.com/>), 'Digital Science Dimensions' (<https://www.dimensions.ai/>), 'OpenAlex' (<https://openalex.org/>), 'Cochrane Library' (<https://www.cochranelibrary.com/>), 'Lens' (<https://lens.org>), and 'PubMed' (<https://pubmed.ncbi.nlm.nih.gov/>) databases, performing bibliometric analysis and building networks for co-citation, coupling, scientific collaboration and co-word analysis.
Author: Massimo Aria [cre, aut, cph] , Corrado Cuccurullo [aut]
Maintainer: Massimo Aria <aria@unina.it>

Diff between bibliometrix versions 4.2.3 dated 2024-05-24 and 4.3.0 dated 2024-07-01

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More information about bibliometrix at CRAN
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Package mlr3pipelines updated to version 0.6.0 with previous version 0.5.2 dated 2024-04-23

Title: Preprocessing Operators and Pipelines for 'mlr3'
Description: Dataflow programming toolkit that enriches 'mlr3' with a diverse set of pipelining operators ('PipeOps') that can be composed into graphs. Operations exist for data preprocessing, model fitting, and ensemble learning. Graphs can themselves be treated as 'mlr3' 'Learners' and can therefore be resampled, benchmarked, and tuned.
Author: Martin Binder [aut, cre], Florian Pfisterer [aut] , Lennart Schneider [aut] , Bernd Bischl [aut] , Michel Lang [aut] , Sebastian Fischer [aut] , Susanne Dandl [aut]
Maintainer: Martin Binder <mlr.developer@mb706.com>

Diff between mlr3pipelines versions 0.5.2 dated 2024-04-23 and 0.6.0 dated 2024-07-01

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More information about mlr3pipelines at CRAN
Permanent link

Package healthyR updated to version 0.2.2 with previous version 0.2.1 dated 2023-04-06

Title: Hospital Data Analysis Workflow Tools
Description: Hospital data analysis workflow tools, modeling, and automations. This library provides many useful tools to review common administrative hospital data. Some of these include average length of stay, readmission rates, average net pay amounts by service lines just to name a few. The aim is to provide a simple and consistent verb framework that takes the guesswork out of everything.
Author: Steven Sanderson [aut, cre, cph]
Maintainer: Steven Sanderson <spsanderson@gmail.com>

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Package clustMixType updated to version 0.4-2 with previous version 0.3-14 dated 2023-12-10

Title: k-Prototypes Clustering for Mixed Variable-Type Data
Description: Functions to perform k-prototypes partitioning clustering for mixed variable-type data according to Z.Huang (1998): Extensions to the k-Means Algorithm for Clustering Large Data Sets with Categorical Variables, Data Mining and Knowledge Discovery 2, 283-304.
Author: Gero Szepannek [aut, cre], Rabea Aschenbruck [aut]
Maintainer: Gero Szepannek <gero.szepannek@web.de>

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Package mlr3viz updated to version 0.9.0 with previous version 0.8.0 dated 2024-03-05

Title: Visualizations for 'mlr3'
Description: Visualization package of the 'mlr3' ecosystem. It features plots for mlr3 objects such as tasks, learners, predictions, benchmark results, tuning instances and filters via the 'autoplot()' generic of 'ggplot2'. The package draws plots with the 'viridis' color palette and applies the minimal theme. Visualizations include barplots, boxplots, histograms, ROC curves, and Precision-Recall curves.
Author: Michel Lang [aut] , Patrick Schratz [aut] , Raphael Sonabend [aut] , Marc Becker [cre, aut] , Jakob Richter [aut] , Damir Pulatov [ctb], John Zobolas [aut]
Maintainer: Marc Becker <marcbecker@posteo.de>

Diff between mlr3viz versions 0.8.0 dated 2024-03-05 and 0.9.0 dated 2024-07-01

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Package fmesher updated to version 0.1.7 with previous version 0.1.6 dated 2024-06-14

Title: Triangle Meshes and Related Geometry Tools
Description: Generate planar and spherical triangle meshes, compute finite element calculations for 1- and 2-dimensional flat and curved manifolds with associated basis function spaces, methods for lines and polygons, and transparent handling of coordinate reference systems and coordinate transformation, including 'sf' and 'sp' geometries. The core 'fmesher' library code was originally part of the 'INLA' package, and implements parts of "Triangulations and Applications" by Hjelle and Daehlen (2006) <doi:10.1007/3-540-33261-8>.
Author: Finn Lindgren [aut, cre, cph] , Seaton Andy [ctb] , Suen Man Ho [ctb] , Fabian E. Bachl [ctb]
Maintainer: Finn Lindgren <finn.lindgren@gmail.com>

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Package EIEntropy updated to version 0.0.1.1 with previous version 0.0.1 dated 2024-07-01

Title: Ecological Inference Applying Entropy
Description: Implements two estimations related to the foundations of info metrics applied to ecological inference. These methodologies assess the lack of disaggregated data and provide an approach to obtaining disaggregated territorial-level data. For more details, see the following references: Fernández-Vázquez, E., Díaz-Dapena, A., Rubiera-Morollón, F. et al. (2020) "Spatial Disaggregation of Social Indicators: An Info-Metrics Approach." <doi:10.1007/s11205-020-02455-z>. Díaz-Dapena, A., Fernández-Vázquez, E., Rubiera-Morollón, F., & Vinuela, A. (2021) "Mapping poverty at the local level in Europe: A consistent spatial disaggregation of the AROPE indicator for France, Spain, Portugal and the United Kingdom." <doi:10.1111/rsp3.12379>.
Author: Alberto Diaz-Dapena [aut, cph], Silvia Maria Franco Anaya [aut, cre, cph], Esteban Fernandez-Vazquez [aut, cph]
Maintainer: Silvia Maria Franco Anaya <sfrana@unileon.es>

Diff between EIEntropy versions 0.0.1 dated 2024-07-01 and 0.0.1.1 dated 2024-07-01

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New package vse4ts with initial version 1.0.0
Package: vse4ts
Title: Identify Memory Patterns in Time Series Using Variance Scale Exponent
Version: 1.0.0
Description: Methods for calculating the variance scale exponent to identify memory patterns in time series data. Includes tests for white noise, short memory, and long memory. See Fu, H. et al. (2018) <doi:10.1016/j.physa.2018.06.092>.
License: MIT + file LICENSE
URL: https://z-my-cn.github.io/vse4ts/
BugReports: https://github.com/z-my-cn/vse4ts/issues
Imports: stats
Suggests: pracma
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-06-29 09:27:23 UTC; Dream
Author: Mengyang Zheng [aut, cre], Hui Fu [aut]
Maintainer: Mengyang Zheng <mengyang.zheng@outlook.com>
Repository: CRAN
Date/Publication: 2024-07-01 10:20:03 UTC

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Package track2KBA updated to version 1.1.2 with previous version 1.1.1 dated 2023-09-27

Title: Identifying Important Areas from Animal Tracking Data
Description: Functions for preparing and analyzing animal tracking data, with the intention of identifying areas which are potentially important at the population level and therefore of conservation interest. Areas identified using this package may be checked against global or regionally-defined criteria, such as those set by the Key Biodiversity Area program. The method published herein is described in full in Beal et al. 2021 <doi:10.1111/2041-210X.13713>.
Author: Martin Beal [aut, cre] , Steffen Oppel [aut] , Maria Dias [aut] , Mark Miller [ctb], Phillip Taylor [ctb], Virginia Morera-Pujol [ctb] , Elizabeth Pearmain [ctb] , Jonathan Handley [ctb] , Ben Lascelles [ctb]
Maintainer: Martin Beal <martinbeal88@gmail.com>

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New package simdata with initial version 0.4.0
Package: simdata
Title: Generate Simulated Datasets
Version: 0.4.0
Maintainer: Michael Kammer <michael.kammer@meduniwien.ac.at>
Description: Generate simulated datasets from an initial underlying distribution and apply transformations to obtain realistic data. Implements the 'NORTA' (Normal-to-anything) approach from Cario and Nelson (1997) and other data generating mechanisms. Simple network visualization tools are provided to facilitate communicating the simulation setup.
License: GPL-3
Imports: Matrix, mvtnorm, igraph (>= 1.2.1)
Suggests: doParallel, doRNG, dplyr, fitdistrplus, forcats, ggplot2, GGally, ggcorrplot, knitr, nhanesA, patchwork, purrr, reshape2, rmarkdown, testthat (>= 2.1.0)
VignetteBuilder: knitr
Encoding: UTF-8
URL: https://matherealize.github.io/simdata/, https://github.com/matherealize/simdata
BugReports: https://github.com/matherealize/simdata/issues
NeedsCompilation: no
Packaged: 2024-06-29 09:44:13 UTC; MichaelK
Author: Michael Kammer [aut, cre]
Repository: CRAN
Date/Publication: 2024-07-01 10:20:20 UTC

More information about simdata at CRAN
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Package mirai updated to version 1.1.1 with previous version 1.1.0 dated 2024-06-06

Title: Minimalist Async Evaluation Framework for R
Description: High-performance parallel code execution and distributed computing. Designed for simplicity, a 'mirai' evaluates an R expression asynchronously, on local or network resources, resolving automatically upon completion. Modern networking and concurrency built on 'nanonext' and 'NNG' (Nanomsg Next Gen) ensures reliable and efficient scheduling, over fast inter-process communications or TCP/IP secured by TLS.
Author: Charlie Gao [aut, cre] , Hibiki AI Limited [cph]
Maintainer: Charlie Gao <charlie.gao@shikokuchuo.net>

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New package LSEbootLS with initial version 0.1.0
Package: LSEbootLS
Date: 2024-06-28
Title: Bootstrap Methods for Regression Models with Locally Stationary Errors
Version: 0.1.0
Maintainer: Nicolas Loyola <nloyola2016@udec.cl>
Description: Implements bootstrap methods for linear regression models with errors following a time-varying process, focusing on approximating the distribution of the least-squares estimator for regression models with locally stationary errors. It enables the construction of bootstrap and classical confidence intervals for regression coefficients, leveraging intensive simulation studies and real data analysis.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: TRUE
Depends: doParallel, R (>= 2.10)
Imports: foreach, doRNG, stats, parallel, LSTS, tibble, iterators, rlecuyer
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-06-29 04:35:05 UTC; nicol
Author: Guillermo Ferreira [aut], Joel Munoz [aut], Nicolas Loyola [aut, cre]
Repository: CRAN
Date/Publication: 2024-07-01 10:10:03 UTC

More information about LSEbootLS at CRAN
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Package khroma updated to version 1.13.0 with previous version 1.12.0 dated 2024-01-08

Title: Colour Schemes for Scientific Data Visualization
Description: Color schemes ready for each type of data (qualitative, diverging or sequential), with colors that are distinct for all people, including color-blind readers. This package provides an implementation of Paul Tol (2018) and Fabio Crameri (2018) <doi:10.5194/gmd-11-2541-2018> color schemes for use with 'graphics' or 'ggplot2'. It provides tools to simulate color-blindness and to test how well the colors of any palette are identifiable. Several scientific thematic schemes (geologic timescale, land cover, FAO soils, etc.) are also implemented.
Author: Nicolas Frerebeau [aut, cre] , Brice Lebrun [ctb] , Vincent Arel-Bundock [ctb] , Ulrik Stervbo [ctb] , Universite Bordeaux Montaigne [fnd], CNRS [fnd]
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>

Diff between khroma versions 1.12.0 dated 2024-01-08 and 1.13.0 dated 2024-07-01

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Package pharmaverseadam updated to version 1.0.0 with previous version 0.2.0 dated 2024-01-08

Title: ADaM Test Data for the 'Pharmaverse' Family of Packages
Description: A set of Analysis Data Model (ADaM) datasets constructed using the Study Data Tabulation Model (SDTM) datasets contained in the 'pharmaversesdtm' package and the template scripts from the 'admiral' family of packages. ADaM dataset specifications are described in: CDISC Analysis Data Model Team (2021) <https://www.cdisc.org/system/files/members/standard/foundational/ADaMIG_v1.3.pdf>.
Author: Edoardo Mancini [aut, cre], Kangjie Zhang [aut], Stefan Bundfuss [aut], Gayatri G [aut], Daphne Grassely [aut], Zelos Zhu [aut], Sadchla Mascary [aut]
Maintainer: Edoardo Mancini <edoardo.mancini@roche.com>

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New package orbital with initial version 0.1.0
Package: orbital
Title: Predict with 'tidymodels' Workflows in Databases
Version: 0.1.0
Description: Turn 'tidymodels' workflows into objects containing the sufficient sequential equations to perform predictions. These smaller objects allow for low dependency prediction locally or directly in databases.
License: MIT + file LICENSE
URL: https://github.com/tidymodels/orbital
BugReports: https://github.com/tidymodels/orbital/issues
Imports: cli, rlang
Suggests: dbplyr, dplyr, dtplyr, jsonlite, kknn, parsnip, recipes, testthat (>= 3.0.0), tidypredict, workflows
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-06-28 20:11:07 UTC; emilhvitfeldt
Author: Emil Hvitfeldt [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Emil Hvitfeldt <emil.hvitfeldt@posit.co>
Repository: CRAN
Date/Publication: 2024-07-01 10:00:02 UTC

More information about orbital at CRAN
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Package matlab updated to version 1.0.4.1 with previous version 1.0.4 dated 2022-06-01

Title: 'MATLAB' Emulation Package
Description: Emulate 'MATLAB' code using 'R'.
Author: P. Roebuck
Maintainer: P. Roebuck <proebuck1701@gmail.com>

Diff between matlab versions 1.0.4 dated 2022-06-01 and 1.0.4.1 dated 2024-07-01

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Package matchMulti updated to version 1.1.12.1 with previous version 1.1.12 dated 2023-05-11

Title: Optimal Multilevel Matching using a Network Algorithm
Description: Performs multilevel matches for data with cluster- level treatments and individual-level outcomes using a network optimization algorithm. Functions for checking balance at the cluster and individual levels are also provided, as are methods for permutation-inference-based outcome analysis. Details in Pimentel et al. (2018) <doi:10.1214/17-AOAS1118>. The optmatch package, which is useful for running many of the provided functions, may be downloaded from Github at <https://github.com/markmfredrickson/optmatch> if not available on CRAN.
Author: Luke Keele [aut], Luke Miratrix [aut], Sam Pimentel [aut, cre], Paul Rosenbaum [ctb]
Maintainer: Sam Pimentel <spi@berkeley.edu>

Diff between matchMulti versions 1.1.12 dated 2023-05-11 and 1.1.12.1 dated 2024-07-01

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New package EIEntropy with initial version 0.0.1
Package: EIEntropy
Title: Ecological Inference Applying Entropy
Version: 0.0.1
Depends: R (>= 3.5.0)
Maintainer: Silvia Maria Franco Anaya <sfrana@unileon.es>
Description: Implements two estimations related to the foundations of info metrics applied to ecological inference. These methodologies assess the lack of disaggregated data and provide an approach to obtaining disaggregated territorial-level data. For more details, see the following references: Fernández-Vázquez, E., Díaz-Dapena, A., Rubiera-Morollón, F. et al. (2020) "Spatial Disaggregation of Social Indicators: An Info-Metrics Approach." <doi:10.1007/s11205-020-02455-z>. Díaz-Dapena, A., Fernández-Vázquez, E., Rubiera-Morollón, F., & Vinuela, A. (2021) "Mapping poverty at the local level in Europe: A consistent spatial disaggregation of the AROPE indicator for France, Spain, Portugal and the United Kingdom." <doi:10.1111/rsp3.12379>.
License: GPL-3
Encoding: UTF-8
Imports: dplyr, magrittr
Suggests: devtools, knitr, rmarkdown, here
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2024-06-28 17:10:49 UTC; pc
Author: Alberto Diaz-Dapena [aut, cph], Silvia Maria Franco Anaya [aut, cre, cph], Esteban Fernandez-Vazquez [aut, cph]
Repository: CRAN
Date/Publication: 2024-07-01 09:40:02 UTC

More information about EIEntropy at CRAN
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Package campsis updated to version 1.5.3 with previous version 1.5.2 dated 2024-04-12

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>

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Package BuyseTest updated to version 3.0.4 with previous version 3.0.2 dated 2024-01-23

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], William Anderson [ctb], Johan Verbeeck [aut]
Maintainer: Brice Ozenne <brice.mh.ozenne@gmail.com>

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 src/FCT_buyseTest.cpp                         |   13 
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Permanent link

Package taxonbridge (with last version 1.2.2) was removed from CRAN

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

2022-07-04 1.2.2
2022-05-02 1.2.1
2022-04-13 1.2.0
2022-04-08 1.1.0
2022-03-25 1.0.5
2022-03-08 1.0.4
2022-02-22 1.0.3
2022-02-08 1.0.2
2022-01-20 1.0.1

Permanent link
Package quantspec (with last version 1.2-3) was removed from CRAN

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

2020-07-14 1.2-3
2020-04-22 1.2-2

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Package mlmts (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:

2023-01-22 1.1.1

Permanent link
Package psbcSpeedUp updated to version 2.0.7 with previous version 2.0.6 dated 2024-03-21

Title: Penalized Semiparametric Bayesian Cox Models
Description: Algorithms to speed up the Bayesian Lasso Cox model (Lee et al., Int J Biostat, 2011 <doi:10.2202/1557-4679.1301>) and the Bayesian Lasso Cox with mandatory variables (Zucknick et al. Biometrical J, 2015 <doi:10.1002/bimj.201400160>).
Author: Zhi Zhao [aut, cre], Manuela Zucknick [aut], Maral Saadati [aut], Axel Benner [aut]
Maintainer: Zhi Zhao <zhi.zhao@medisin.uio.no>

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Package mlr3mbo updated to version 0.2.3 with previous version 0.2.2 dated 2024-03-01

Title: Flexible Bayesian Optimization
Description: A modern and flexible approach to Bayesian Optimization / Model Based Optimization building on the 'bbotk' package. 'mlr3mbo' is a toolbox providing both ready-to-use optimization algorithms as well as their fundamental building blocks allowing for straightforward implementation of custom algorithms. Single- and multi-objective optimization is supported as well as mixed continuous, categorical and conditional search spaces. Moreover, using 'mlr3mbo' for hyperparameter optimization of machine learning models within the 'mlr3' ecosystem is straightforward via 'mlr3tuning'. Examples of ready-to-use optimization algorithms include Efficient Global Optimization by Jones et al. (1998) <doi:10.1023/A:1008306431147>, ParEGO by Knowles (2006) <doi:10.1109/TEVC.2005.851274> and SMS-EGO by Ponweiser et al. (2008) <doi:10.1007/978-3-540-87700-4_78>.
Author: Lennart Schneider [cre, aut] , Jakob Richter [aut] , Marc Becker [aut] , Michel Lang [aut] , Bernd Bischl [aut] , Florian Pfisterer [aut] , Martin Binder [aut], Sebastian Fischer [aut] , Michael H. Buselli [cph], Wessel Dankers [cph], Carlos Fonseca [...truncated...]
Maintainer: Lennart Schneider <lennart.sch@web.de>

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Package scan updated to version 0.61.0 with previous version 0.60.0 dated 2023-08-08

Title: Single-Case Data Analyses for Single and Multiple Baseline Designs
Description: A collection of procedures for analysing, visualising, and managing single-case data. These include piecewise linear regression models, multilevel models, overlap indices ('PND', 'PEM', 'PAND', 'PET', 'tau-u', 'baseline corrected tau', 'CDC'), and randomization tests. Data preparation functions support outlier detection, handling missing values, scaling, truncation, rank transformation, and smoothing. An export function helps to generate html and latex tables in a publication friendly style. More details can be found in the online book 'Analyzing single-case data with R and scan', Juergen Wilbert (2023) <https://jazznbass.github.io/scan-Book/>.
Author: Juergen Wilbert [cre, aut] , Timo Lueke [aut]
Maintainer: Juergen Wilbert <juergen.wilbert@uni-muenster.de>

Diff between scan versions 0.60.0 dated 2023-08-08 and 0.61.0 dated 2024-07-01

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Package RNAseqQC updated to version 0.2.0 with previous version 0.1.4 dated 2022-06-15

Title: Quality Control for RNA-Seq Data
Description: Functions for semi-automated quality control of bulk RNA-seq data.
Author: Frederik Ziebell [cre], Frederik Ziebell [aut] , GlaxoSmithKline Research & Development Limited [cph]
Maintainer: Frederik Ziebell <f_ziebell@web.de>

Diff between RNAseqQC versions 0.1.4 dated 2022-06-15 and 0.2.0 dated 2024-07-01

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Package rgexf updated to version 0.16.3 with previous version 0.16.2 dated 2021-08-12

Title: Build, Import, and Export GEXF Graph Files
Description: Create, read, and write 'GEXF' (Graph Exchange 'XML' Format) graph files (used in 'Gephi' and others). Using the 'XML' package, rgexf allows reading and writing GEXF files, including attributes, 'GEXF' visual attributes (such as color, size, and position), network dynamics (for both edges and nodes), and edges' weights. Users can build/handle graphs element-by-element or massively through data frames, visualize the graph on a web browser through 'gexf-js' (a 'javascript' library), and interact with the 'igraph' package.
Author: George Vega Yon [aut, cre] , Jorge Fabrega Lacoa [ctb], Joshua Kunst [ctb], Raphael Velt [cph] , Gephi Consortium [cph] , Cornelius Fritz [rev] , Jonathan Cardoso Silva [rev]
Maintainer: George Vega Yon <g.vegayon@gmail.com>

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Package mvgam updated to version 1.1.2 with previous version 1.1.1 dated 2024-05-10

Title: Multivariate (Dynamic) Generalized Additive Models
Description: Fit Bayesian Dynamic Generalized Additive Models to sets of time series. Users can build dynamic nonlinear State-Space models that can incorporate semiparametric effects in observation and process components, using a wide range of observation families. Estimation is performed using Markov Chain Monte Carlo with Hamiltonian Monte Carlo in the software 'Stan'. References: Clark & Wells (2022) <doi:10.1111/2041-210X.13974>.
Author: Nicholas J Clark [aut, cre]
Maintainer: Nicholas J Clark <nicholas.j.clark1214@gmail.com>

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Package MacBehaviour updated to version 1.2.4 with previous version 1.2.2 dated 2024-06-17

Title: Behavioural Studies of Large Language Models
Description: Efficient way to design and conduct psychological experiments for testing the performance of large language models. It simplifies the process of setting up experiments and data collection via language models’ API, facilitating a smooth workflow for researchers in the field of machine behaviour.
Author: Xufeng Duan, Shixuan Li, Zhenguang Cai
Maintainer: Xufeng Duan <dxfdxfdxf88@gmail.com>

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Package GUD updated to version 1.0.2 with previous version 1.0.0 dated 2024-06-29

Title: Bayesian Modal Regression Based on the GUD Family
Description: Provides probability density functions and sampling algorithms for three key distributions from the General Unimodal Distribution (GUD) family: the Flexible Gumbel (FG) distribution, the Double Two-Piece (DTP) Student-t distribution, and the Two-Piece Scale (TPSC) Student-t distribution. Additionally, this package includes a function for Bayesian linear modal regression, leveraging these three distributions for model fitting. The details of the Bayesian modal regression model based on the GUD family can be found at Liu, Huang, and Bai (2024) <doi:10.1016/j.csda.2024.108012>.
Author: Qingyang Liu [aut, cre] , Xianzheng Huang [aut] , Ray Bai [aut]
Maintainer: Qingyang Liu <qingyang@email.sc.edu>

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Package ggpp updated to version 0.5.8-1 with previous version 0.5.8 dated 2024-06-26

Title: Grammar Extensions to 'ggplot2'
Description: Extensions to 'ggplot2' respecting the grammar of graphics paradigm. Geometries: geom_table(), geom_plot() and geom_grob() add insets to plots using native data coordinates, while geom_table_npc(), geom_plot_npc() and geom_grob_npc() do the same using "npc" coordinates through new aesthetics "npcx" and "npcy". Statistics: select observations based on 2D density. Positions: radial nudging away from a center point and nudging away from a line or curve; combined stacking and nudging; combined dodging and nudging.
Author: Pedro J. Aphalo [aut, cre] , Kamil Slowikowski [ctb] , Michal Krassowski [ctb] , Daniel Sabanes Bove [ctb], Stella Banjo [ctb]
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>

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Package ClinSigMeasures updated to version 1.2 with previous version 1.1 dated 2024-06-03

Title: Clinical Significance Measures
Description: Provides measures of effect sizes for summarized continuous variables as well as diagnostic accuracy statistics for 2x2 table data. Includes functions for Cohen's d, robust effect size, Cohen's q, partial eta-squared, coefficient of variation, odds ratio, likelihood ratios, sensitivity, specificity, positive and negative predictive values, Youden index, number needed to treat, number needed to diagnose, and predictive summary index.
Author: Mike Malek-Ahmadi <michael.malekahmadi@bannerhealth.com>, Kjera Schack <kgschack@asu.edu>
Maintainer: Mike Malek-Ahmadi <michael.malekahmadi@bannerhealth.com>

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Package fCWTr (with last version 0.2.1) was removed from CRAN

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

2024-06-17 0.2.1

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Package soiltestcorr updated to version 2.2.1 with previous version 2.2.0 dated 2023-04-07

Title: Soil Test Correlation and Calibration
Description: A compilation of functions designed to assist users on the correlation analysis of crop yield and soil test values. Functions to estimate crop response patterns to soil nutrient availability and critical soil test values using various approaches such as: 1) the modified arcsine-log calibration curve (Correndo et al. (2017) <doi:10.1071/CP16444>); 2) the graphical Cate-Nelson quadrants analysis (Cate & Nelson (1965)), 3) the statistical Cate-Nelson quadrants analysis (Cate & Nelson (1971) <doi:10.2136/sssaj1971.03615995003500040048x>), 4) the linear-plateau regression (Anderson & Nelson (1975) <doi:10.2307/2529422>), 5) the quadratic-plateau regression (Bullock & Bullock (1994) <doi:10.2134/agronj1994.00021962008600010033x>), and 6) the Mitscherlich-type exponential regression (Melsted & Peck (1977) <doi:10.2134/asaspecpub29.c1>). The package development stemmed from ongoing work with the Fertilizer Recommendation Support Tool (FRST) and [...truncated...]
Author: Adrian A. Correndo [aut, cre, cph] , Austin Pearce [aut] , Fernando Miguez [ctb] , Deanna Osmond [aut] , Ignacio A. Ciampitti [aut]
Maintainer: Adrian A. Correndo <acorrend@uoguelph.ca>

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Package pamr updated to version 1.57 with previous version 1.56.2.1 dated 2024-06-27

Title: Pam: Prediction Analysis for Microarrays
Description: Some functions for sample classification in microarrays.
Author: Trevor Hastie [aut], Rob Tibshirani [aut], Balasubramanian Narasimhan [aut, cre], Gilbert Chu [aut]
Maintainer: Balasubramanian Narasimhan <naras@stanford.edu>

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 pamr-1.57/pamr/man/pamr.adaptthresh.Rd              |   74 +++---
 pamr-1.57/pamr/man/pamr.batchadjust.Rd              |   54 ++--
 pamr-1.57/pamr/man/pamr.confusion.Rd                |   51 ++--
 pamr-1.57/pamr/man/pamr.confusion.survival.Rd       |   40 +--
 pamr-1.57/pamr/man/pamr.cv.Rd                       |   89 +++----
 pamr-1.57/pamr/man/pamr.decorrelate.Rd              |   79 +++---
 pamr-1.57/pamr/man/pamr.fdr.Rd                      |   68 +++--
 pamr-1.57/pamr/man/pamr.geneplot.Rd                 |   50 ++--
 pamr-1.57/pamr/man/pamr.indeterminate.Rd            |   45 +--
 pamr-1.57/pamr/man/pamr.listgenes.Rd                |   58 ++---
 pamr-1.57/pamr/man/pamr.makeclasses.Rd              |  104 ++++-----
 pamr-1.57/pamr/man/pamr.menu.Rd                     |   36 +--
 pamr-1.57/pamr/man/pamr.plotcen.Rd                  |   52 ++--
 pamr-1.57/pamr/man/pamr.plotcv.Rd                   |   40 +--
 pamr-1.57/pamr/man/pamr.plotcvprob.Rd               |   47 ++--
 pamr-1.57/pamr/man/pamr.plotfdr.Rd                  |   43 +--
 pamr-1.57/pamr/man/pamr.plotstrata.Rd               |   30 +-
 pamr-1.57/pamr/man/pamr.plotsurvival.Rd             |   32 +-
 pamr-1.57/pamr/man/pamr.predict.Rd                  |   73 +++---
 pamr-1.57/pamr/man/pamr.predictmany.Rd              |   59 ++---
 pamr-1.57/pamr/man/pamr.surv.to.class2.Rd           |   79 +++---
 pamr-1.57/pamr/man/pamr.test.errors.surv.compute.Rd |   42 +--
 pamr-1.57/pamr/man/pamr.train.Rd                    |  230 ++++++++++----------
 59 files changed, 1826 insertions(+), 860 deletions(-)

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Package latcontrol updated to version 0.1.1 with previous version 0.1.0 dated 2023-08-17

Title: Evaluation of the Role of Control Variables in Structural Equation Models
Description: Various opportunities to evaluate the effects of including one or more control variable(s) in structural equation models onto model-implied variances, covariances, and parameter estimates. The derivation of the methodology employed in this package can be obtained from Blötner (2023) <doi:10.31234/osf.io/dy79z>.
Author: Christian Bloetner [aut, cre]
Maintainer: Christian Bloetner <c.bloetner@gmail.com>

Diff between latcontrol versions 0.1.0 dated 2023-08-17 and 0.1.1 dated 2024-07-01

 DESCRIPTION        |    6 ++---
 MD5                |    6 ++---
 R/compare.res.R    |   57 +++++++++++++++++++++++++++++++++++++++--------------
 man/compare.res.Rd |    2 +
 4 files changed, 50 insertions(+), 21 deletions(-)

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