Fri, 07 Feb 2025

Package tidyHeatmap updated to version 1.11.6 with previous version 1.11.4 dated 2025-01-26

Title: A Tidy Implementation of Heatmap
Description: This is a tidy implementation for heatmap. At the moment it is based on the (great) package 'ComplexHeatmap'. The goal of this package is to interface a tidy data frame with this powerful tool. Some of the advantages are: Row and/or columns colour annotations are easy to integrate just specifying one parameter (column names). Custom grouping of rows is easy to specify providing a grouped tbl. For example: df %>% group_by(...). Labels size adjusted by row and column total number. Default use of Brewer and Viridis palettes.
Author: Stefano Mangiola [aut, cre], Anthony Papenfuss [ctb]
Maintainer: Stefano Mangiola <mangiolastefano@gmail.com>

Diff between tidyHeatmap versions 1.11.4 dated 2025-01-26 and 1.11.6 dated 2025-02-07

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More information about tidyHeatmap at CRAN
Permanent link

Package RLescalation updated to version 1.0.2 with previous version 1.0.1 dated 2025-01-09

Title: Optimal Dose Escalation Using Deep Reinforcement Learning
Description: An implementation to compute an optimal dose escalation rule using deep reinforcement learning in phase I oncology trials (Matsuura et al. (2023) <doi:10.1080/10543406.2023.2170402>). The dose escalation rule can directly optimize the percentages of correct selection (PCS) of the maximum tolerated dose (MTD).
Author: Kentaro Matsuura [aut, cre, cph]
Maintainer: Kentaro Matsuura <matsuurakentaro55@gmail.com>

Diff between RLescalation versions 1.0.1 dated 2025-01-09 and 1.0.2 dated 2025-02-07

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More information about RLescalation at CRAN
Permanent link

Package openrouteservice updated to version 0.6.2 with previous version 0.6.1 dated 2024-10-21

Title: An 'openrouteservice' API Client
Description: The client streamlines access to the services provided by <https://api.openrouteservice.org>. It allows you to painlessly query for directions, isochrones, time-distance matrices, geocoding, elevation, points of interest, and more.
Author: Heidelberg Institute for Geoinformation Technology gGmbH [cph], Andrzej K. Oles [aut, cre]
Maintainer: Andrzej K. Oles <andrzej.oles@gmail.com>

Diff between openrouteservice versions 0.6.1 dated 2024-10-21 and 0.6.2 dated 2025-02-07

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More information about openrouteservice at CRAN
Permanent link

Package rbioapi updated to version 0.8.2 with previous version 0.8.1 dated 2024-03-30

Title: User-Friendly R Interface to Biologic Web Services' API
Description: Currently fully supports Enrichr, JASPAR, miEAA, PANTHER, Reactome, STRING, and UniProt! The goal of rbioapi is to provide a user-friendly and consistent interface to biological databases and services. In a way that insulates the user from the technicalities of using web services API and creates a unified and easy-to-use interface to biological and medical web services. This is an ongoing project; New databases and services will be added periodically. Feel free to suggest any databases or services you often use.
Author: Moosa Rezwani [aut, cre]
Maintainer: Moosa Rezwani <moosa.rezwani@gmail.com>

Diff between rbioapi versions 0.8.1 dated 2024-03-30 and 0.8.2 dated 2025-02-07

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More information about rbioapi at CRAN
Permanent link

Package itscalledsoccer updated to version 0.3.1 with previous version 0.3.0 dated 2024-09-04

Title: American Soccer Analysis API Client
Description: Provides a wrapper around the same API <https://app.americansocceranalysis.com/api/v1/__docs__/> that powers the American Soccer Analysis app.
Author: Tyler Richardett [aut, cre], American Soccer Analysis [cph]
Maintainer: Tyler Richardett <tyler.richardett@gmail.com>

Diff between itscalledsoccer versions 0.3.0 dated 2024-09-04 and 0.3.1 dated 2025-02-07

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More information about itscalledsoccer at CRAN
Permanent link

Package renv updated to version 1.1.1 with previous version 1.1.0 dated 2025-01-29

Title: Project Environments
Description: A dependency management toolkit for R. Using 'renv', you can create and manage project-local R libraries, save the state of these libraries to a 'lockfile', and later restore your library as required. Together, these tools can help make your projects more isolated, portable, and reproducible.
Author: Kevin Ushey [aut, cre] , Hadley Wickham [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Kevin Ushey <kevin@rstudio.com>

Diff between renv versions 1.1.0 dated 2025-01-29 and 1.1.1 dated 2025-02-07

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Package DQAgui updated to version 0.2.6 with previous version 0.2.5 dated 2024-11-28

Title: Graphical User Interface for Data Quality Assessment
Description: A graphical user interface (GUI) to the functions implemented in the R package 'DQAstats'. Publication: Mang et al. (2021) <doi:10.1186/s12911-022-01961-z>.
Author: Lorenz A. Kapsner [cre, aut] , Jonathan M. Mang [aut] , Helene Koester [ctb], MIRACUM - Medical Informatics in Research and Care in University Medicine [fnd], Universitaetsklinikum Erlangen [cph]
Maintainer: Lorenz A. Kapsner <lorenz.kapsner@gmail.com>

Diff between DQAgui versions 0.2.5 dated 2024-11-28 and 0.2.6 dated 2025-02-07

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Package clidamonger updated to version 1.3.0 with previous version 1.2.0 dated 2024-06-28

Title: Monthly Climate Data for Germany, Usable for Heating and Cooling Calculations
Description: This data package contains monthly climate data in Germany, it can be used for heating and cooling calculations (external temperature, heating / cooling days, solar radiation).
Author: Tobias Loga [aut] , Guillaume Behem [aut], Jens Calisti [cre]
Maintainer: Jens Calisti <jens@tangled.de>

Diff between clidamonger versions 1.2.0 dated 2024-06-28 and 1.3.0 dated 2025-02-07

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Package SynergyLMM updated to version 1.0.1 with previous version 1.0.0 dated 2025-02-06

Title: Statistical Framework for in Vivo Drug Combination Studies
Description: A framework for evaluating drug combination effects in preclinical in vivo studies. 'SynergyLMM' provides functions to analyze longitudinal tumor growth experiments using linear mixed-effects models, perform time-dependent analyses of synergy and antagonism, evaluate model diagnostics and performance, and assess both post-hoc and a priori statistical power. The calculation of drug combination synergy follows the statistical framework provided by Demidenko and Miller (2019, <doi:10.1371/journal.pone.0224137>). The implementation and analysis of linear mixed-effect models is based on the methods described by Pinheiro and Bates (2000, <doi:10.1007/b98882>), and Gałecki and Burzykowski (2013, <doi:10.1007/978-1-4614-3900-4>).
Author: Rafael Romero-Becerra [aut, cre] , Zhi Zhao [ctb], Tero Aittokallio [ctb]
Maintainer: Rafael Romero-Becerra <r.r.becerra@medisin.uio.no>

Diff between SynergyLMM versions 1.0.0 dated 2025-02-06 and 1.0.1 dated 2025-02-07

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New package SVDMx with initial version 0.1.0
Package: SVDMx
Title: Child/Child-Adult Mortality-Indexed Model Mortality Age Schedules
Version: 0.1.0
Description: Model age schedules of mortality, nqx, suitable for a life table. This package implements the SVD-Comp mortality model indexed by either child or child/adult mortality. Given input value(s) of either 5q0 or (5q0, 45q15), the qx() function generates single-year 1qx or 5-year 5qx conditional age-specific probabilities of dying. See Clark (2016) <doi:10.48550/arXiv.1612.01408> and Clark (2019) <doi:10.1007/s13524-019-00785-3>.
Encoding: UTF-8
License: GPL (>= 3)
LazyData: true
NeedsCompilation: no
Packaged: 2025-02-07 13:22:09 UTC; samueljclark
Author: Samuel Clark [aut, cre, cph]
Maintainer: Samuel Clark <work@samclark.net>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-02-07 18:30:06 UTC

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New package gofigR with initial version 0.2.2
Package: gofigR
Title: Client for 'GoFigr.io'
Version: 0.2.2
Description: Integrates with your 'RMarkdown' documents to automatically publish figures to the <https://GoFigr.io> service. Supports both 'knitr' and interactive execution within 'RStudio'.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/GoFigr/gofigR
BugReports: https://github.com/GoFigr/gofigR/issues
Imports: httr, jsonlite, knitr, base64enc, readr, magick, qrcode, getPass, textutils, scriptName, xfun, rlang, stringr, rstudioapi
Suggests: ggplot2, gplots
NeedsCompilation: no
Packaged: 2025-02-06 14:21:33 UTC; maciej
Author: Maciej Pacula [cre, aut], Flagstaff Solutions, LLC [cph]
Maintainer: Maciej Pacula <maciej@gofigr.io>
Repository: CRAN
Date/Publication: 2025-02-07 18:30:02 UTC

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New package CUtools with initial version 0.1.0
Package: CUtools
Title: Clinical Utility Tools to Analyze a Predictive Model
Version: 0.1.0
Description: Package to analyze the clinical utility of a biomarker. It provides the clinical utility curve, clinical utility table, efficacy of a biomarker, clinical efficacy curve and tests to compare efficacy between markers.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-02-07 14:31:07 UTC; luses
Author: Maria Escorihuela [aut], Luis Mariano Esteban [aut, cre], Gerardo Sanz [aut], Angel Borque [aut]
Maintainer: Luis Mariano Esteban <lmeste@unizar.es>
Repository: CRAN
Date/Publication: 2025-02-07 18:40:02 UTC

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Package StepReg updated to version 1.5.8 with previous version 1.5.7 dated 2025-01-22

Title: Stepwise Regression Analysis
Description: Stepwise regression is a statistical technique used for model selection. This package streamlines stepwise regression analysis by supporting multiple regression types, incorporating popular selection strategies, and offering essential metrics. It enables users to apply multiple selection strategies and metrics in a single function call, visualize variable selection processes, and export results in various formats. However, StepReg should not be used for statistical inference unless the variable selection process is explicitly accounted for, as it can compromise the validity of the results. This limitation does not apply when StepReg is used for prediction purposes. We validated StepReg's accuracy using public datasets within the SAS software environment. Additionally, StepReg features an interactive Shiny application to enhance usability and accessibility.
Author: Junhui Li [cre] , Junhui Li [aut], Kai Hu [aut], Xiaohuan Lu [aut], Kun Cheng [ctb], Sushmita N Nayak [ctb], Cesar Bautista Sotelo [ctb], Michael A Lodato [ctb], Wenxin Liu [aut], Lihua Julie Zhu [aut]
Maintainer: Junhui Li <junhui.li11@umassmed.edu>

Diff between StepReg versions 1.5.7 dated 2025-01-22 and 1.5.8 dated 2025-02-07

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New package polymatching with initial version 1.0.1
Package: polymatching
Title: A Matching Algorithm for Designs with Multiple Groups
Version: 1.0.1
Description: Includes functions implementing the conditionally optimal matching algorithm, which can be used to generate matched samples in designs with multiple groups. The algorithm is described in Nattino, Song and Lu (2022) <doi:10.1016/j.csda.2021.107364>.
License: GPL-3
Encoding: UTF-8
Imports: optmatch, ggplot2, gridExtra, tidyr, utils, stats, dplyr, magrittr, rlang, methods
Suggests: VGAM, knitr, rmarkdown
NeedsCompilation: no
Packaged: 2025-02-07 09:28:17 UTC; GNattino
Author: Giovanni Nattino [aut, cre], Bo Lu [aut], Chi Song [aut], Henry Xiang [aut]
Maintainer: Giovanni Nattino <giovanni.nattino@marionegri.it>
Repository: CRAN
Date/Publication: 2025-02-07 18:00:02 UTC

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Package DQAstats updated to version 0.3.7 with previous version 0.3.6 dated 2024-11-27

Title: Core Functions for Data Quality Assessment
Description: Perform data quality assessment ('DQA') of electronic health records ('EHR'). Publication: Kapsner et al. (2021) <doi:10.1055/s-0041-1733847>.
Author: Lorenz A. Kapsner [cre, aut] , Jonathan M. Mang [aut] , Helene Koester [ctb], MIRACUM - Medical Informatics in Research and Care in University Medicine [fnd], Universitaetsklinikum Erlangen [cph]
Maintainer: Lorenz A. Kapsner <lorenz.kapsner@gmail.com>

Diff between DQAstats versions 0.3.6 dated 2024-11-27 and 0.3.7 dated 2025-02-07

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Package aberrance updated to version 0.2.0 with previous version 0.1.1 dated 2024-07-02

Title: Detect Aberrant Behavior in Test Data
Description: Detect several types of aberrant behavior, including answer copying, answer similarity, nonparametric misfit, parametric misfit, preknowledge, rapid guessing, and test tampering.
Author: Kylie Gorney [aut, cph, cre] , Jiayi Deng [aut, cph]
Maintainer: Kylie Gorney <kgorney@msu.edu>

Diff between aberrance versions 0.1.1 dated 2024-07-02 and 0.2.0 dated 2025-02-07

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Package vol2birdR updated to version 1.0.6 with previous version 1.0.5 dated 2024-09-27

Title: Vertical Profiles of Biological Signals in Weather Radar Data
Description: 'R' implementation of the 'vol2bird' software for generating vertical profiles of birds and other biological signals in weather radar data. See Dokter et al. (2011) <doi:10.1098/rsif.2010.0116> for a paper describing the methodology.
Author: Anders Henja [aut] , Adriaan M. Dokter [aut, cre] , Alexander Tedeschi [ctb] , Tsung-Yu Lin [ctb] , Subranshu Maji [ctb] , Daniel Sheldon [ctb] , Bart Kranstauber [ctb] , Jurriaan H. Spaaks [ctb] , Lourens Veen [ctb] , Iwan Holleman [ctb] , Hidde Lei [...truncated...]
Maintainer: Adriaan M. Dokter <vol2birdr@cornell.edu>

Diff between vol2birdR versions 1.0.5 dated 2024-09-27 and 1.0.6 dated 2025-02-07

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Package rjwsacruncher updated to version 0.2.1 with previous version 0.2.0 dated 2023-10-04

Title: Interface to the 'JWSACruncher' of 'JDemetra+'
Description: 'JDemetra+' (<https://github.com/jdemetra/jdemetra-app>) is the seasonal adjustment software officially recommended to the members of the European Statistical System and the European System of Central Banks. Seasonal adjustment models performed with 'JDemetra+' can be stored into workspaces. 'JWSACruncher' (<https://github.com/jdemetra/jwsacruncher/releases>) is a console tool that re-estimates all the multi-processing defined in a workspace and to export the result. 'rjwsacruncher' allows to launch easily the 'JWSACruncher'.
Author: Alain Quartier-la-Tente [aut, cre] , Institut national de la statistique et des etudes economiques [cph]
Maintainer: Alain Quartier-la-Tente <alain.quartier@yahoo.fr>

Diff between rjwsacruncher versions 0.2.0 dated 2023-10-04 and 0.2.1 dated 2025-02-07

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Package cccrm updated to version 3.0.4 with previous version 3.0.3 dated 2024-10-19

Title: Concordance Correlation Coefficient for Repeated (and Non-Repeated) Measures
Description: Estimates the Concordance Correlation Coefficient to assess agreement. The scenarios considered are non-repeated measures, non-longitudinal repeated measures (replicates) and longitudinal repeated measures. It also includes the estimation of the one-way intraclass correlation coefficient also known as reliability index. The estimation approaches implemented are variance components and U-statistics approaches. Description of methods can be found in Fleiss (1986) <doi:10.1002/9781118032923> and Carrasco et al. (2013) <doi:10.1016/j.cmpb.2012.09.002>.
Author: Josep Lluis Carrasco [aut, cre], Gonzalo Peon Pena [aut]
Maintainer: Josep Lluis Carrasco <jlcarrasco@ub.edu>

Diff between cccrm versions 3.0.3 dated 2024-10-19 and 3.0.4 dated 2025-02-07

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Package arrApply updated to version 2.2.1 with previous version 2.2 dated 2023-01-10

Title: Apply a Function to a Margin of an Array
Description: High performance variant of apply() for a fixed set of functions. Considerable speedup of this implementation is a trade-off for universality: user defined functions cannot be used with this package. However, about 20 most currently employed functions are available for usage. They can be divided in three types: reducing functions (like mean(), sum() etc., giving a scalar when applied to a vector), mapping function (like normalise(), cumsum() etc., giving a vector of the same length as the input vector) and finally, vector reducing function (like diff() which produces result vector of a length different from the length of input vector). Optional or mandatory additional arguments required by some functions (e.g. norm type for norm()) can be passed as named arguments in '...'.
Author: Serguei Sokol [aut, cre]
Maintainer: Serguei Sokol <sokol@insa-toulouse.fr>

Diff between arrApply versions 2.2 dated 2023-01-10 and 2.2.1 dated 2025-02-07

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Package zigg updated to version 0.0.2 with previous version 0.0.1 dated 2025-01-31

Title: Lightweight Interfaces to the 'Ziggurat' Pseudo Random Number Generator
Description: The 'Ziggurat' pseudo-random number generator (or PRNG), introduced by Marsaglia and Tsang (2000, <doi:10.18637/jss.v005.i08>) and further improved by Leong et al (2005, <doi:10.18637/jss.v012.i07>), offers a lightweight and very fast PRNG for the normal, exponential, and uniform distributions. It is provided here in a small zero-dependency package. It can be used from R as well as from 'C/C++' code in other packages as is demonstrated by four included sample packages using four distinct methods to use the PRNG presented here in client package. The implementation is influenced by our package 'RcppZiggurat' which offers a comparison among multiple alternative implementations but presented here in a lighter-weight implementation that is easier to use by other packages. The PRNGs provided are generally faster than the ones in base R: on our machine, the relative gains for normal, exponential and uniform are on the order of 7.4, 5.2 and 4.7 times faster than base R. However, th [...truncated...]
Author: Dirk Eddelbuettel [aut, cre]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between zigg versions 0.0.1 dated 2025-01-31 and 0.0.2 dated 2025-02-07

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Package rbmi updated to version 1.4.0 with previous version 1.3.1 dated 2024-12-11

Title: Reference Based Multiple Imputation
Description: Implements standard and reference based multiple imputation methods for continuous longitudinal endpoints (Gower-Page et al. (2022) <doi:10.21105/joss.04251>). In particular, this package supports deterministic conditional mean imputation and jackknifing as described in Wolbers et al. (2022) <doi:10.1002/pst.2234>, Bayesian multiple imputation as described in Carpenter et al. (2013) <doi:10.1080/10543406.2013.834911>, and bootstrapped maximum likelihood imputation as described in von Hippel and Bartlett (2021) <doi: 10.1214/20-STS793>.
Author: Craig Gower-Page [aut, cre], Alessandro Noci [aut], Marcel Wolbers [ctb], Isaac Gravestock [aut], Daniel Sabanes Bove [aut], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Craig Gower-Page <craig.gower-page@roche.com>

Diff between rbmi versions 1.3.1 dated 2024-12-11 and 1.4.0 dated 2025-02-07

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Package LatticeDesign updated to version 3.0-1 with previous version 2.0-5 dated 2022-11-13

Title: Lattice-Based Space-Filling Designs
Description: Lattice-based space-filling designs with fill or separation distance properties including interleaved lattice-based minimax distance designs proposed in Xu He (2017) <doi:10.1093/biomet/asx036>, interleaved lattice-based maximin distance designs proposed in Xu He (2018) <doi:10.1093/biomet/asy069>, interleaved lattice-based designs with low fill and high separation distance properties proposed in Xu He (2024) <doi:10.1137/23M156940X>, rotated sphere packing designs proposed in Xu He (2017) <doi:10.1080/01621459.2016.1222289>, sliced rotated sphere packing designs proposed in Xu He (2019) <doi:10.1080/00401706.2018.1458655>, and densest packing-based maximum projections designs proposed in Xu He (2021) <doi:10.1093/biomet/asaa057> and Xu He (2018) <doi:10.48550/arXiv.1709.02062>.
Author: Xu He [aut, cre]
Maintainer: Xu He <hexu@amss.ac.cn>

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Package kollaR updated to version 1.0.3 with previous version 1.0.2 dated 2025-02-07

Title: Filtering, Visualization and Analysis of Eye Tracking Data
Description: Functions for analysing eye tracking data, including event detection (I-VT, I-DT and two means clustering), visualizations and area of interest (AOI) based analyses. See separate documentation for each function. The principles underlying I-VT and I-DT filters are described in Salvucci & Goldberg (2000,\doi{10.1145/355017.355028}). Two-means clustering is described in Hessels et al. (2017, \doi{10.3758/s13428-016-0822-1}).
Author: Johan Lundin Kleberg [aut, cre]
Maintainer: Johan Lundin Kleberg <johan.lundin.kleberg@su.se>

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Package campsismod updated to version 1.2.0 with previous version 1.1.2 dated 2024-11-26

Title: Generic Implementation of a PK/PD Model
Description: A generic, easy-to-use and expandable implementation of a pharmacokinetic (PK) / pharmacodynamic (PD) model based on the S4 class system. This package allows the user to read/write a pharmacometric model from/to files and adapt it further on the fly in the R environment. For this purpose, this package provides an intuitive API to add, modify or delete equations, ordinary differential equations (ODE's), model parameters or compartment properties (like infusion duration or rate, bioavailability and initial values). Finally, this package also provides a useful export of the model for use with simulation packages 'rxode2' and 'mrgsolve'. This package is designed and intended to be used with package 'campsis', a PK/PD simulation platform built on top of 'rxode2' and 'mrgsolve'.
Author: Nicolas Luyckx [aut, cre]
Maintainer: Nicolas Luyckx <nicolas.luyckx@calvagone.com>

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Package stevetemplates updated to version 1.1.0 with previous version 1.0.0 dated 2024-01-26

Title: Steve's R Markdown Templates
Description: These are my collection of 'R Markdown' templates, mostly for compilation to PDF. These are useful for all things academic and professional, if you are using 'R Markdown' for things like your CV or your articles and manuscripts.
Author: Steven Miller [aut, cre]
Maintainer: Steven Miller <steve@svmiller.com>

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Package odin updated to version 1.2.7 with previous version 1.2.6 dated 2024-09-23

Title: ODE Generation and Integration
Description: Generate systems of ordinary differential equations (ODE) and integrate them, using a domain specific language (DSL). The DSL uses R's syntax, but compiles to C in order to efficiently solve the system. A solver is not provided, but instead interfaces to the packages 'deSolve' and 'dde' are generated. With these, while solving the differential equations, no allocations are done and the calculations remain entirely in compiled code. Alternatively, a model can be transpiled to R for use in contexts where a C compiler is not present. After compilation, models can be inspected to return information about parameters and outputs, or intermediate values after calculations. 'odin' is not targeted at any particular domain and is suitable for any system that can be expressed primarily as mathematical expressions. Additional support is provided for working with delays (delay differential equations, DDE), using interpolated functions during interpolation, and for integrating quantities that [...truncated...]
Author: Rich FitzJohn [aut, cre], Thibaut Jombart [ctb], Imperial College of Science, Technology and Medicine [cph]
Maintainer: Rich FitzJohn <rich.fitzjohn@gmail.com>

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Package pencal updated to version 2.2.3 with previous version 2.2.2 dated 2024-06-12

Title: Penalized Regression Calibration (PRC) for the Dynamic Prediction of Survival
Description: Computes penalized regression calibration (PRC), a statistical method for the dynamic prediction of survival when many longitudinal predictors are available. PRC is described in Signorelli (2024) <doi:10.48550/arXiv.2309.15600> and in Signorelli et al. (2021) <doi:10.1002/sim.9178>.
Author: Mirko Signorelli [aut, cre, cph] , Pietro Spitali [ctb], Roula Tsonaka [ctb], Barbara Vreede [ctb]
Maintainer: Mirko Signorelli <msignorelli.rpackages@gmail.com>

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Package GaussSuppression updated to version 0.9.5 with previous version 0.9.2 dated 2024-12-09

Title: Tabular Data Suppression using Gaussian Elimination
Description: A statistical disclosure control tool to protect tables by suppression using the Gaussian elimination secondary suppression algorithm (Langsrud, 2024) <doi:10.1007/978-3-031-69651-0_6>. A suggestion is to start by working with functions SuppressSmallCounts() and SuppressDominantCells(). These functions use primary suppression functions for the minimum frequency rule and the dominance rule, respectively. Novel functionality for suppression of disclosive cells is also included. General primary suppression functions can be supplied as input to the general working horse function, GaussSuppressionFromData(). Suppressed frequencies can be replaced by synthetic decimal numbers as described in Langsrud (2019) <doi:10.1007/s11222-018-9848-9>.
Author: Oeyvind Langsrud [aut, cre] , Daniel Lupp [aut] , Hege Boevelstad [ctb] , Vidar Norstein Klungre [rev] , Statistics Norway [cph]
Maintainer: Oeyvind Langsrud <oyl@ssb.no>

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Package ForestElementsR updated to version 2.1.0 with previous version 2.0.1 dated 2024-12-23

Title: Data Structures and Functions for Working with Forest Data
Description: Provides generic data structures and algorithms for use with forest mensuration data in a consistent framework. The functions and objects included are a collection of broadly applicable tools. More specialized applications should be implemented in separate packages that build on this foundation. Documentation about 'ForestElementsR' is provided by three vignettes included in this package. For an introduction to the field of forest mensuration, refer to the textbooks by Kershaw et al. (2017) <doi:10.1002/9781118902028>, and van Laar and Akca (2007) <doi:10.1007/978-1-4020-5991-9>.
Author: Peter Biber [aut, cre, cph] , Astor Torano Caicoya [aut] , Torben Hilmers [ctb]
Maintainer: Peter Biber <p.biber@tum.de>

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More information about ForestElementsR at CRAN
Permanent link

Package faraway updated to version 1.0.9 with previous version 1.0.8 dated 2022-08-23

Title: Datasets and Functions for Books by Julian Faraway
Description: Books are "Linear Models with R" published 1st Ed. August 2004, 2nd Ed. July 2014, 3rd Ed. February 2025 by CRC press, ISBN 9781439887332, and "Extending the Linear Model with R" published by CRC press in 1st Ed. December 2005 and 2nd Ed. March 2016, ISBN 9781584884248 and "Practical Regression and ANOVA in R" contributed documentation on CRAN (now very dated).
Author: Julian Faraway [aut, cre]
Maintainer: Julian Faraway <jjf23@bath.ac.uk>

Diff between faraway versions 1.0.8 dated 2022-08-23 and 1.0.9 dated 2025-02-07

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Package entropart updated to version 1.6-16 with previous version 1.6-15 dated 2024-08-26

Title: Entropy Partitioning to Measure Diversity
Description: Measurement and partitioning of diversity, based on Tsallis entropy, following Marcon and Herault (2015) <doi:10.18637/jss.v067.i08>. 'entropart' provides functions to calculate alpha, beta and gamma diversity of communities, including phylogenetic and functional diversity. Estimation-bias corrections are available.
Author: Eric Marcon [aut, cre] , Bruno Herault [aut]
Maintainer: Eric Marcon <eric.marcon@agroparistech.fr>

Diff between entropart versions 1.6-15 dated 2024-08-26 and 1.6-16 dated 2025-02-07

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More information about entropart at CRAN
Permanent link

Package cyphr updated to version 1.1.7 with previous version 1.1.4 dated 2022-06-20

Title: High Level Encryption Wrappers
Description: Encryption wrappers, using low-level support from 'sodium' and 'openssl'. 'cyphr' tries to smooth over some pain points when using encryption within applications and data analysis by wrapping around differences in function names and arguments in different encryption providing packages. It also provides high-level wrappers for input/output functions for seamlessly adding encryption to existing analyses.
Author: Rich FitzJohn [aut, cre], Jai Ranganathan [ctb]
Maintainer: Rich FitzJohn <rich.fitzjohn@gmail.com>

Diff between cyphr versions 1.1.4 dated 2022-06-20 and 1.1.7 dated 2025-02-07

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More information about cyphr at CRAN
Permanent link

Package synthesizer updated to version 0.4.0 with previous version 0.3.1 dated 2024-10-11

Title: Synthesize Data Based on Empirical Quantile Functions and Rank Order Matching
Description: Data is synthesized using a combination of inverse transform sampling using the empirical quantile functions for each variable, and then copying the rank order structure from the original dataset. The syntesizer method has a tunable parameter allowing to gradually move from realistic and possibly unsafe synthetic data to decorrelated data of less utility.
Author: Mark van der Loo [aut, cre]
Maintainer: Mark van der Loo <mark.vanderloo@gmail.com>

Diff between synthesizer versions 0.3.1 dated 2024-10-11 and 0.4.0 dated 2025-02-07

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More information about synthesizer at CRAN
Permanent link

Package paws.common updated to version 0.8.0 with previous version 0.7.7 dated 2024-10-03

Title: Paws Low-Level Amazon Web Services API
Description: Functions for making low-level API requests to Amazon Web Services <https://aws.amazon.com>. The functions handle building, signing, and sending requests, and receiving responses. They are designed to help build higher-level interfaces to individual services, such as Simple Storage Service (S3).
Author: David Kretch [aut], Adam Banker [aut], Dyfan Jones [cre], Amazon.com, Inc. [cph]
Maintainer: Dyfan Jones <dyfan.r.jones@gmail.com>

Diff between paws.common versions 0.7.7 dated 2024-10-03 and 0.8.0 dated 2025-02-07

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More information about paws.common at CRAN
Permanent link

Package jsonvalidate updated to version 1.5.0 with previous version 1.3.2 dated 2021-11-03

Title: Validate 'JSON' Schema
Description: Uses the node library 'is-my-json-valid' or 'ajv' to validate 'JSON' against a 'JSON' schema. Drafts 04, 06 and 07 of 'JSON' schema are supported.
Author: Rich FitzJohn [aut, cre], Rob Ashton [aut], Alex Hill [ctb], Alicia Schep [ctb], Ian Lyttle [ctb], Kara Woo [ctb], Mathias Buus [aut, cph] , Evgeny Poberezkin [aut, cph]
Maintainer: Rich FitzJohn <rich.fitzjohn@gmail.com>

Diff between jsonvalidate versions 1.3.2 dated 2021-11-03 and 1.5.0 dated 2025-02-07

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More information about jsonvalidate at CRAN
Permanent link

Package duckplyr updated to version 1.0.0 with previous version 0.4.1 dated 2024-07-12

Title: A 'DuckDB'-Backed Version of 'dplyr'
Description: A drop-in replacement for 'dplyr', powered by 'DuckDB' for performance. Offers convenient utilities for working with in-memory and larger-than-memory data while retaining full 'dplyr' compatibility.
Author: Hannes Muehleisen [aut] , Kirill Mueller [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Kirill Mueller <kirill@cynkra.com>

Diff between duckplyr versions 0.4.1 dated 2024-07-12 and 1.0.0 dated 2025-02-07

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More information about duckplyr at CRAN
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Package klassR updated to version 1.0.2 with previous version 1.0.1 dated 2024-12-03

Title: Classifications and Codelists for Statistics Norway
Description: Functions to search, retrieve, apply and update classifications and codelists using Statistics Norway's API <https://www.ssb.no/klass> from the system 'KLASS'. Retrieves classifications by date with options to choose language, hierarchical level and formatting.
Author: Susie Jentoft [aut, cre], Diana-Cristina Iancu [aut], Lisa Li [aut], Oeyvind I. Berntsen [aut], Statistics Norway [cph]
Maintainer: Susie Jentoft <susie.jentoft@ssb.no>

Diff between klassR versions 1.0.1 dated 2024-12-03 and 1.0.2 dated 2025-02-07

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 15 files changed, 191 insertions(+), 91 deletions(-)

More information about klassR at CRAN
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New package kollaR with initial version 1.0.2
Package: kollaR
Title: Filtering, Visualization and Analysis of Eye Tracking Data
Version: 1.0.2
Description: Functions for analysing eye tracking data, including event detection (I-VT, I-DT and two means clustering), visualizations and area of interest (AOI) based analyses. See separate documentation for each function. The principles underlying I-VT and I-DT filters are described in Salvucci & Goldberg (2000,\doi{10.1145/355017.355028}). Two-means clustering is described in Hessels et al. (2017, \doi{10.3758/s13428-016-0822-1}).
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: dplyr, ggplot2, zoo, ggforce, tidyr, ggpubr, jpeg, patchwork, shiny, plotly, base64enc, magick, scales
NeedsCompilation: no
Packaged: 2025-02-07 08:15:03 UTC; jolu7095
Author: Johan Lundin Kleberg [aut, cre]
Maintainer: Johan Lundin Kleberg <johan.lundin.kleberg@su.se>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-02-07 10:10:02 UTC

More information about kollaR at CRAN
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Package Surrogate (with last version 3.3.1) was removed from CRAN

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

2025-01-23 3.3.1
2024-06-12 3.3.0
2024-05-27 3.2.6
2024-03-19 3.2.5
2024-02-29 3.2.4
2024-02-20 3.2.2
2023-09-25 3.2.1
2023-09-06 3.2.0
2023-09-01 3.1
2023-06-22 3.0
2023-03-07 2.8
2023-02-13 2.7
2023-01-22 2.6
2022-11-30 2.5
2022-08-13 2.4
2022-07-08 2.3
2022-06-18 2.2
2022-06-08 2.1
2021-09-28 2.0
2021-07-06 1.9
2020-12-13 1.8
2020-03-22 1.7
2020-01-29 1.6
2019-12-06 1.5
2019-10-26 1.4
2019-09-22 1.3
2019-02-06 1.2
2018-10-18 1.1
2018-10-10 1.0
2018-06-09 0.9
2018-06-02 0.8
2018-04-20 0.7
2018-01-20 0.6
2017-10-08 0.5
2017-08-18 0.4
2017-06-05 0.2
2017-03-05 0.1-801
2016-10-27 0.1-79
2016-10-01 0.1-77
2016-09-24 0.1-76
2016-09-03 0.1-75
2016-07-27 0.1-74
2016-05-16 0.1-73
2016-04-23 0.1-72
2016-04-01 0.1-71
2016-03-18 0.1-69
2016-02-21 0.1-68
2016-02-05 0.1-67
2016-01-22 0.1-66
2015-11-21 0.1-64
2015-10-09 0.1-63
2015-08-24 0.1-62
2015-06-11 0.1-61
2015-05-14 0.1-6
2015-03-26 0.1-5
2014-12-12 0.1-4
2014-10-24 0.1-3
2014-07-30 0.1-2
2014-05-11 0.1-1
2014-03-19 0.1-0

Permanent link
New package taxize with initial version 0.10.0
Package: taxize
Title: Taxonomic Information from Around the Web
Description: Interacts with a suite of web application programming interfaces (API) for taxonomic tasks, such as getting database specific taxonomic identifiers, verifying species names, getting taxonomic hierarchies, fetching downstream and upstream taxonomic names, getting taxonomic synonyms, converting scientific to common names and vice versa, and more. Some of the services supported include 'NCBI E-utilities' (<https://www.ncbi.nlm.nih.gov/books/NBK25501/>), 'Encyclopedia of Life' (<https://eol.org/docs/what-is-eol/data-services>), 'Global Biodiversity Information Facility' (<https://techdocs.gbif.org/en/openapi/>), and many more. Links to the API documentation for other supported services are available in the documentation for their respective functions in this package.
Version: 0.10.0
License: MIT + file LICENSE
URL: https://docs.ropensci.org/taxize/ (website), https://github.com/ropensci/taxize (devel), https://taxize.dev (user manual)
BugReports: https://github.com/ropensci/taxize/issues
LazyLoad: yes
LazyData: true
Encoding: UTF-8
Language: en-US
Depends: R(>= 3.2.1)
Imports: graphics, methods, stats, utils, crul (>= 0.7.0), xml2 (>= 1.2.0), jsonlite, ape, zoo, data.table, tibble (>= 1.2), rredlist, rotl (>= 3.0.0), ritis (>= 0.7.6), worrms (>= 0.4.0), natserv (>= 1.0.0), wikitaxa (>= 0.3.0), R6, crayon, cli, phangorn, lifecycle, curl, stringi
Suggests: testthat, vegan, vcr
NeedsCompilation: no
Packaged: 2025-02-06 19:53:50 UTC; fosterz
Author: Scott Chamberlain [aut], Eduard Szoecs [aut], Zachary Foster [aut, cre], Zebulun Arendsee [aut], Carl Boettiger [ctb], Karthik Ram [ctb], Ignasi Bartomeus [ctb], John Baumgartner [ctb], James O'Donnell [ctb], Jari Oksanen [ctb], Bastian Greshake Tzov [...truncated...]
Maintainer: Zachary Foster <zacharyfoster1989@gmail.com>
Repository: CRAN
Date/Publication: 2025-02-07 09:50:02 UTC

More information about taxize at CRAN
Permanent link

New package stochtree with initial version 0.1.0
Package: stochtree
Title: Stochastic Tree Ensembles (XBART and BART) for Supervised Learning and Causal Inference
Version: 0.1.0
Copyright: Copyright details for stochtree's C++ dependencies, which are vendored along with the core stochtree source code, are detailed in inst/COPYRIGHTS
Description: Flexible stochastic tree ensemble software. Robust implementations of Bayesian Additive Regression Trees (BART) Chipman, George, McCulloch (2010) <doi:10.1214/09-AOAS285> for supervised learning and Bayesian Causal Forests (BCF) Hahn, Murray, Carvalho (2020) <doi:10.1214/19-BA1195> for causal inference. Enables model serialization and parallel sampling and provides a low-level interface for custom stochastic forest samplers.
License: MIT + file LICENSE
Encoding: UTF-8
LinkingTo: cpp11, BH
Suggests: testthat (>= 3.0.0),
SystemRequirements: C++17
Imports: R6, stats
URL: https://stochtree.ai
NeedsCompilation: yes
Packaged: 2025-02-07 00:44:55 UTC; drew
Author: Drew Herren [aut, cre] , Richard Hahn [aut], Jared Murray [aut], Carlos Carvalho [aut], Jingyu He [aut], Pedro Lima [ctb], stochtree contributors [cph], Eigen contributors [cph] , xgboost contributors [cph] , treelite contributors [cph] , Microsoft C [...truncated...]
Maintainer: Drew Herren <drewherrenopensource@gmail.com>
Repository: CRAN
Date/Publication: 2025-02-07 10:00:02 UTC

More information about stochtree at CRAN
Permanent link

New package saery with initial version 2.0
Package: saery
Title: Small Area Estimation for Rao and Yu Model
Version: 2.0
Maintainer: Perez Agustin <agustin.perez@umh.es>
Description: Functions to calculate EBLUPs (Empirical Best Linear Unbiased Predictor) estimators and their MSEs (Mean Squared Errors). Estimators are based on an area-level linear mixed model introduced by Rao and Yu (1994) <doi:10.2307/3315407>. The REML (Residual Maximum Likelihood) method is used for fitting the model.
Imports: grDevices, graphics, stats, utils
License: GPL-2
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Author: Cabello E. [aut], Esteban M.D. [aut], Morales Domingo [aut], Perez Agustin [aut, cre]
Packaged: 2025-02-06 19:01:57 UTC; estebancabello
Repository: CRAN
Date/Publication: 2025-02-07 09:50:11 UTC

More information about saery at CRAN
Permanent link

Package mirai updated to version 2.1.0 with previous version 2.0.1 dated 2025-01-16

Title: Minimalist Async Evaluation Framework for R
Description: Designed for simplicity, a 'mirai' evaluates an R expression asynchronously in a parallel process, locally or distributed over the network. The result is automatically available 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. Distributed computing can launch remote resources via SSH or cluster managers. An inherently queued architecture handles many more tasks than available processes, and requires no storage on the file system. Innovative features include support for otherwise non-exportable reference objects, event-driven promises, and asynchronous parallel map.
Author: Charlie Gao [aut, cre] , Joe Cheng [ctb], Hibiki AI Limited [cph], Posit Software, PBC [cph]
Maintainer: Charlie Gao <charlie.gao@shikokuchuo.net>

Diff between mirai versions 2.0.1 dated 2025-01-16 and 2.1.0 dated 2025-02-07

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 mirai-2.1.0/mirai/NEWS.md                  |   22 ++
 mirai-2.1.0/mirai/R/daemon.R               |   81 ---------
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 mirai-2.1.0/mirai/R/launchers.R            |    4 
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 25 files changed, 520 insertions(+), 814 deletions(-)

More information about mirai at CRAN
Permanent link

New package MIC with initial version 1.0.2
Package: MIC
Title: Analysis of Antimicrobial Minimum Inhibitory Concentration Data
Version: 1.0.2
Description: Analyse, plot, and tabulate antimicrobial minimum inhibitory concentration (MIC) data. Validate the results of an MIC experiment by comparing observed MIC values to a gold standard assay, in line with standards from the International Organization for Standardization (2021) <https://www.iso.org/standard/79377.html>. Perform MIC prediction from whole genome sequence data stored in the Pathosystems Resource Integration Center (2013) <doi:10.1093/nar/gkt1099> database or locally.
License: GPL (>= 3)
Encoding: UTF-8
Imports: AMR, glue, readr, dplyr, Rcpp, data.table, Biostrings, stringr, rlang, tidyr, future.apply, progressr, lemon, ggplot2, forcats, purrr, tibble
Depends: R (>= 4.1.0)
LazyData: true
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0), xgboost, flextable, caret, lifecycle, future
URL: https://github.com/agerada/MIC
BugReports: https://github.com/agerada/MIC/issues
NeedsCompilation: yes
Packaged: 2025-02-06 16:22:34 UTC; agerada
Author: Alessandro Gerada [aut, cre, cph]
Maintainer: Alessandro Gerada <alessandro.gerada@liverpool.ac.uk>
Repository: CRAN
Date/Publication: 2025-02-07 09:40:02 UTC

More information about MIC at CRAN
Permanent link

New package cogirt with initial version 1.0.0
Package: cogirt
Title: Cognitive Testing Using Item Response Theory
Version: 1.0.0
Description: Psychometrically analyze latent individual differences related to tasks, interventions, or maturational/aging effects in the context of experimental or longitudinal cognitive research using methods first described by Thomas et al. (2020) <doi:10.1177/0013164420919898>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: MASS, abind, mvtnorm, parallel, coda, numDeriv, grDevices, graphics, stats
Depends: R (>= 2.10)
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-02-07 05:39:50 UTC; mlthom
Author: Michael Thomas [aut, cre]
Maintainer: Michael Thomas <michael.l.thomas@colostate.edu>
Repository: CRAN
Date/Publication: 2025-02-07 10:00:09 UTC

More information about cogirt at CRAN
Permanent link

New package CIDER with initial version 0.99.4
Package: CIDER
Title: Meta-Clustering for scRNA-Seq Integration and Evaluation
Version: 0.99.4
Maintainer: Zhiyuan Hu <zhiyuan.cheryl.hu@gmail.com>
Description: A workflow of (a) meta-clustering based on inter-group similarity measures and (b) a ground-truth-free test metric to assess the biological correctness of integration in real datasets. See Hu Z, Ahmed A, Yau C (2021) <doi:10.1101/2021.03.29.437525> for more details.
URL: https://github.com/zhiyuan-hu-lab/CIDER, https://zhiyuan-hu-lab.github.io/CIDER/
BugReports: https://github.com/zhiyuan-hu-lab/CIDER/issues
Imports: limma (>= 3.42.0), edgeR (>= 3.28.0), stats (>= 3.6.2), foreach (>= 1.4.7), Seurat (>= 3.1.0), utils (>= 3.6.2), pheatmap (>= 1.0.0), dbscan (>= 1.1-5), kernlab (>= 0.9-29), doParallel, igraph, parallel, graphics, ggplot2, viridis
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), statmod (>= 1.2.2), cowplot
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2025-02-06 16:58:52 UTC; zhiyuanhu
Author: Zhiyuan Hu [aut, cre] , Christopher Yau [aut] , Ahmed Ahmed [aut]
Repository: CRAN
Date/Publication: 2025-02-07 09:50:14 UTC

More information about CIDER at CRAN
Permanent link

Package bayestestR updated to version 0.15.2 with previous version 0.15.1 dated 2025-01-17

Title: Understand and Describe Bayesian Models and Posterior Distributions
Description: Provides utilities to describe posterior distributions and Bayesian models. It includes point-estimates such as Maximum A Posteriori (MAP), measures of dispersion (Highest Density Interval - HDI; Kruschke, 2015 <doi:10.1016/C2012-0-00477-2>) and indices used for null-hypothesis testing (such as ROPE percentage, pd and Bayes factors). References: Makowski et al. (2021) <doi:10.21105/joss.01541>.
Author: Dominique Makowski [aut, cre] , Daniel Luedecke [aut] , Mattan S. Ben-Shachar [aut] , Indrajeet Patil [aut] , Micah K. Wilson [aut] , Brenton M. Wiernik [aut] , Paul-Christian Buerkner [rev], Tristan Mahr [rev] , Henrik Singmann [ctb] , Quentin F. Gron [...truncated...]
Maintainer: Dominique Makowski <dom.makowski@gmail.com>

Diff between bayestestR versions 0.15.1 dated 2025-01-17 and 0.15.2 dated 2025-02-07

 bayestestR-0.15.1/bayestestR/tests/testthat/_snaps              |only
 bayestestR-0.15.2/bayestestR/DESCRIPTION                        |    8 +-
 bayestestR-0.15.2/bayestestR/MD5                                |   28 ++++------
 bayestestR-0.15.2/bayestestR/NEWS.md                            |   14 +++++
 bayestestR-0.15.2/bayestestR/R/describe_posterior.R             |   19 ++++++
 bayestestR-0.15.2/bayestestR/R/rope_range.R                     |    4 -
 bayestestR-0.15.2/bayestestR/README.md                          |   18 ++----
 bayestestR-0.15.2/bayestestR/inst/WORDLIST                      |    1 
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Package report updated to version 0.6.1 with previous version 0.6.0 dated 2025-01-26

Title: Automated Reporting of Results and Statistical Models
Description: The aim of the 'report' package is to bridge the gap between R’s output and the formatted results contained in your manuscript. This package converts statistical models and data frames into textual reports suited for publication, ensuring standardization and quality in results reporting.
Author: Dominique Makowski [aut] , Daniel Luedecke [aut] , Indrajeet Patil [aut] , Remi Theriault [aut, cre] , Mattan S. Ben-Shachar [aut] , Brenton M. Wiernik [aut] , Rudolf Siegel [ctb] , Camden Bock [ctb]
Maintainer: Remi Theriault <remi.theriault@mail.mcgill.ca>

Diff between report versions 0.6.0 dated 2025-01-26 and 0.6.1 dated 2025-02-07

 DESCRIPTION                      |   17 +++++++++--------
 MD5                              |    8 ++++----
 NEWS.md                          |   15 ++++++++++-----
 R/report.estimate_contrasts.R    |    2 +-
 man/report.estimate_contrasts.Rd |    2 +-
 5 files changed, 25 insertions(+), 19 deletions(-)

More information about report at CRAN
Permanent link

Package rayrender updated to version 0.38.8 with previous version 0.34.3 dated 2024-08-01

Title: Build and Raytrace 3D Scenes
Description: Render scenes using pathtracing. Build 3D scenes out of spheres, cubes, planes, disks, triangles, cones, curves, line segments, cylinders, ellipsoids, and 3D models in the 'Wavefront' OBJ file format or the PLY Polygon File Format. Supports several material types, textures, multicore rendering, and tone-mapping. Based on the "Ray Tracing in One Weekend" book series. Peter Shirley (2018) <https://raytracing.github.io>.
Author: Tyler Morgan-Wall [aut, cph, cre] , Syoyo Fujita [ctb, cph], Melissa O'Neill [ctb, cph], Vilya Harvey [ctb, cph]
Maintainer: Tyler Morgan-Wall <tylermw@gmail.com>

Diff between rayrender versions 0.34.3 dated 2024-08-01 and 0.38.8 dated 2025-02-07

 rayrender-0.34.3/rayrender/src/bvh_node.cpp               |only
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 rayrender-0.34.3/rayrender/src/initialize_background.h    |only
 rayrender-0.34.3/rayrender/src/medium.h                   |only
 rayrender-0.34.3/rayrender/src/my_new.cpp                 |only
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 rayrender-0.34.3/rayrender/src/scenerenderer.cpp          |only
 rayrender-0.34.3/rayrender/src/smoothing.h                |only
 rayrender-0.38.8/rayrender/DESCRIPTION                    |   24 
 rayrender-0.38.8/rayrender/MD5                            |  373 ++---
 rayrender-0.38.8/rayrender/NAMESPACE                      |    1 
 rayrender-0.38.8/rayrender/R/RcppExports.R                |   24 
 rayrender-0.38.8/rayrender/R/animate_objects.R            |   14 
 rayrender-0.38.8/rayrender/R/catch-routine-registration.R |only
 rayrender-0.38.8/rayrender/R/create_instances.R           |   16 
 rayrender-0.38.8/rayrender/R/csg_construct.R              |  126 -
 rayrender-0.38.8/rayrender/R/generate_camera_motion.R     |   12 
 rayrender-0.38.8/rayrender/R/generate_cornell.R           |   40 
 rayrender-0.38.8/rayrender/R/generate_studio.R            |   12 
 rayrender-0.38.8/rayrender/R/group_objects.R              |   23 
 rayrender-0.38.8/rayrender/R/materials.R                  |  278 ++--
 rayrender-0.38.8/rayrender/R/objects.R                    |  281 ++--
 rayrender-0.38.8/rayrender/R/pig.R                        |    8 
 rayrender-0.38.8/rayrender/R/post_process_scene.R         |   42 
 rayrender-0.38.8/rayrender/R/prepare_scene_list.R         |   15 
 rayrender-0.38.8/rayrender/R/process_scene.R              |   86 -
 rayrender-0.38.8/rayrender/R/r_obj.R                      |    2 
 rayrender-0.38.8/rayrender/R/ray_material.R               |    3 
 rayrender-0.38.8/rayrender/R/render_animation.R           |   25 
 rayrender-0.38.8/rayrender/R/render_ao.R                  |   42 
 rayrender-0.38.8/rayrender/R/render_scene.R               |   64 -
 rayrender-0.38.8/rayrender/R/set_scene_material.R         |only
 rayrender-0.38.8/rayrender/configure                      |  216 +++
 rayrender-0.38.8/rayrender/configure.ac                   |  121 +
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 rayrender-0.38.8/rayrender/man/csg_pyramid.Rd             |    6 
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 rayrender-0.38.8/rayrender/src/Makevars.in                |    2 
 rayrender-0.38.8/rayrender/src/Makevars.win               |    4 
 rayrender-0.38.8/rayrender/src/PreviewDisplay.cpp         |  100 -
 rayrender-0.38.8/rayrender/src/PreviewDisplay.h           |   17 
 rayrender-0.38.8/rayrender/src/PrintClassSizes.cpp        |    3 
 rayrender-0.38.8/rayrender/src/RayMatrix.cpp              |   25 
 rayrender-0.38.8/rayrender/src/RayMatrix.h                |   33 
 rayrender-0.38.8/rayrender/src/RcppExports.cpp            |   69 +
 rayrender-0.38.8/rayrender/src/aabb.cpp                   |  228 +++
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 rayrender-0.38.8/rayrender/src/bounds.h                   |   14 
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 rayrender-0.38.8/rayrender/src/camera.h                   |    3 
 rayrender-0.38.8/rayrender/src/color.cpp                  |  467 ++++++-
 rayrender-0.38.8/rayrender/src/color.h                    |   13 
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 rayrender-0.38.8/rayrender/src/constant.h                 |   17 
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 rayrender-0.38.8/rayrender/src/cylinder.cpp               |  197 ++-
 rayrender-0.38.8/rayrender/src/cylinder.h                 |   22 
 rayrender-0.38.8/rayrender/src/debug.cpp                  |  178 +-
 rayrender-0.38.8/rayrender/src/debug.h                    |   99 -
 rayrender-0.38.8/rayrender/src/define_functions.cpp       |   54 
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 rayrender-0.38.8/rayrender/src/loopsubdiv.cpp             |   32 
 rayrender-0.38.8/rayrender/src/material.cpp               |  204 ++-
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 rayrender-0.38.8/rayrender/src/onbh.h                     |   28 
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 rayrender-0.38.8/rayrender/src/plymesh.h                  |   20 
 rayrender-0.38.8/rayrender/src/point3.h                   |  752 +++++++++++
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 rayrender-0.38.8/rayrender/src/triangle.h                 |   17 
 rayrender-0.38.8/rayrender/src/trianglemesh.cpp           |   35 
 rayrender-0.38.8/rayrender/src/trianglemesh.h             |   16 
 rayrender-0.38.8/rayrender/src/trimesh.cpp                |   32 
 rayrender-0.38.8/rayrender/src/trimesh.h                  |   21 
 rayrender-0.38.8/rayrender/src/vec3.h                     |  888 +++++++++++---
 rayrender-0.38.8/rayrender/src/vectypes.cpp               |only
 rayrender-0.38.8/rayrender/src/vectypes.h                 |only
 199 files changed, 8502 insertions(+), 2965 deletions(-)

More information about rayrender at CRAN
Permanent link

Package mlr3torch updated to version 0.2.0 with previous version 0.1.2 dated 2024-10-15

Title: Deep Learning with 'mlr3'
Description: Deep Learning library that extends the mlr3 framework by building upon the 'torch' package. It allows to conveniently build, train, and evaluate deep learning models without having to worry about low level details. Custom architectures can be created using the graph language defined in 'mlr3pipelines'.
Author: Sebastian Fischer [cre, aut] , Bernd Bischl [ctb] , Lukas Burk [ctb] , Martin Binder [aut], Florian Pfisterer [ctb] , Carson Zhang [ctb]
Maintainer: Sebastian Fischer <sebf.fischer@gmail.com>

Diff between mlr3torch versions 0.1.2 dated 2024-10-15 and 0.2.0 dated 2025-02-07

 mlr3torch-0.1.2/mlr3torch/man/PipeOpPreprocTorchAugmentCenterCrop.Rd           |only
 mlr3torch-0.1.2/mlr3torch/man/PipeOpPreprocTorchAugmentColorJitter.Rd          |only
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 mlr3torch-0.1.2/mlr3torch/man/PipeOpPreprocTorchAugmentHflip.Rd                |only
 mlr3torch-0.1.2/mlr3torch/man/PipeOpPreprocTorchAugmentRandomAffine.Rd         |only
 mlr3torch-0.1.2/mlr3torch/man/PipeOpPreprocTorchAugmentRandomChoice.Rd         |only
 mlr3torch-0.1.2/mlr3torch/man/PipeOpPreprocTorchAugmentRandomCrop.Rd           |only
 mlr3torch-0.1.2/mlr3torch/man/PipeOpPreprocTorchAugmentRandomHorizontalFlip.Rd |only
 mlr3torch-0.1.2/mlr3torch/man/PipeOpPreprocTorchAugmentRandomOrder.Rd          |only
 mlr3torch-0.1.2/mlr3torch/man/PipeOpPreprocTorchAugmentRandomResizedCrop.Rd    |only
 mlr3torch-0.1.2/mlr3torch/man/PipeOpPreprocTorchAugmentRandomVerticalFlip.Rd   |only
 mlr3torch-0.1.2/mlr3torch/man/PipeOpPreprocTorchAugmentResizedCrop.Rd          |only
 mlr3torch-0.1.2/mlr3torch/man/PipeOpPreprocTorchAugmentRotate.Rd               |only
 mlr3torch-0.1.2/mlr3torch/man/PipeOpPreprocTorchAugmentVflip.Rd                |only
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 mlr3torch-0.2.0/mlr3torch/DESCRIPTION                                          |   62 -
 mlr3torch-0.2.0/mlr3torch/MD5                                                  |  392 +++++-----
 mlr3torch-0.2.0/mlr3torch/NAMESPACE                                            |   16 
 mlr3torch-0.2.0/mlr3torch/NEWS.md                                              |   43 +
 mlr3torch-0.2.0/mlr3torch/R/CallbackSetCheckpoint.R                            |   12 
 mlr3torch-0.2.0/mlr3torch/R/CallbackSetEarlyStopping.R                         |   19 
 mlr3torch-0.2.0/mlr3torch/R/CallbackSetHistory.R                               |   45 -
 mlr3torch-0.2.0/mlr3torch/R/CallbackSetLRScheduler.R                           |only
 mlr3torch-0.2.0/mlr3torch/R/CallbackSetProgress.R                              |   18 
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 mlr3torch-0.2.0/mlr3torch/R/ContextTorch.R                                     |   13 
 mlr3torch-0.2.0/mlr3torch/R/LearnerTorch.R                                     |   64 +
 mlr3torch-0.2.0/mlr3torch/R/LearnerTorchFeatureless.R                          |   13 
 mlr3torch-0.2.0/mlr3torch/R/LearnerTorchImage.R                                |    4 
 mlr3torch-0.2.0/mlr3torch/R/LearnerTorchMLP.R                                  |   16 
 mlr3torch-0.2.0/mlr3torch/R/LearnerTorchModel.R                                |    3 
 mlr3torch-0.2.0/mlr3torch/R/LearnerTorchTabResNet.R                            |    8 
 mlr3torch-0.2.0/mlr3torch/R/LearnerTorchVision.R                               |    2 
 mlr3torch-0.2.0/mlr3torch/R/PipeOpModule.R                                     |    2 
 mlr3torch-0.2.0/mlr3torch/R/PipeOpTorch.R                                      |   12 
 mlr3torch-0.2.0/mlr3torch/R/PipeOpTorchActivation.R                            |  245 ++----
 mlr3torch-0.2.0/mlr3torch/R/PipeOpTorchAdaptiveAvgPool.R                       |only
 mlr3torch-0.2.0/mlr3torch/R/PipeOpTorchAvgPool.R                               |   43 -
 mlr3torch-0.2.0/mlr3torch/R/PipeOpTorchBatchNorm.R                             |   45 -
 mlr3torch-0.2.0/mlr3torch/R/PipeOpTorchBlock.R                                 |   30 
 mlr3torch-0.2.0/mlr3torch/R/PipeOpTorchCallbacks.R                             |    9 
 mlr3torch-0.2.0/mlr3torch/R/PipeOpTorchConv.R                                  |   44 -
 mlr3torch-0.2.0/mlr3torch/R/PipeOpTorchConvTranspose.R                         |   44 -
 mlr3torch-0.2.0/mlr3torch/R/PipeOpTorchDropout.R                               |   19 
 mlr3torch-0.2.0/mlr3torch/R/PipeOpTorchHead.R                                  |   23 
 mlr3torch-0.2.0/mlr3torch/R/PipeOpTorchIngress.R                               |   35 
 mlr3torch-0.2.0/mlr3torch/R/PipeOpTorchLayerNorm.R                             |   22 
 mlr3torch-0.2.0/mlr3torch/R/PipeOpTorchLinear.R                                |   23 
 mlr3torch-0.2.0/mlr3torch/R/PipeOpTorchLoss.R                                  |    2 
 mlr3torch-0.2.0/mlr3torch/R/PipeOpTorchMaxPool.R                               |   44 -
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 mlr3torch-0.2.0/mlr3torch/R/PipeOpTorchModel.R                                 |   10 
 mlr3torch-0.2.0/mlr3torch/R/PipeOpTorchOptimizer.R                             |    7 
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 mlr3torch-0.2.0/mlr3torch/R/TaskClassif_tiny_imagenet.R                        |    4 
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 mlr3torch-0.2.0/mlr3torch/R/TorchDescriptor.R                                  |   10 
 mlr3torch-0.2.0/mlr3torch/R/TorchLoss.R                                        |    2 
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 mlr3torch-0.2.0/mlr3torch/R/bibentries.R                                       |   15 
 mlr3torch-0.2.0/mlr3torch/R/cache.R                                            |    6 
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 mlr3torch-0.2.0/mlr3torch/R/paramset_torchlearner.R                            |   23 
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 mlr3torch-0.2.0/mlr3torch/R/task_dataset.R                                     |   54 -
 mlr3torch-0.2.0/mlr3torch/R/utils.R                                            |   54 -
 mlr3torch-0.2.0/mlr3torch/R/with_torch_settings.R                              |   17 
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 mlr3torch-0.2.0/mlr3torch/README.md                                            |    8 
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 mlr3torch-0.2.0/mlr3torch/man/batchgetter_num.Rd                               |    5 
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Package centr updated to version 0.2.2 with previous version 0.2.1 dated 2024-12-22

Title: Weighted and Unweighted Spatial Centers
Description: Generate mean and median weighted or unweighted spatial centers. Functions are analogous to their identically named counterparts within 'ArcGIS Pro'. Median center methodology based off of Kuhn and Kuenne (1962) <doi:10.1111/j.1467-9787.1962.tb00902.x>.
Author: Ryan Zomorrodi [aut, cre, cph]
Maintainer: Ryan Zomorrodi <rzomor2@uic.edu>

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Package bsitar updated to version 0.3.2 with previous version 0.2.1 dated 2024-03-19

Title: Bayesian Super Imposition by Translation and Rotation Growth Curve Analysis
Description: The Super Imposition by Translation and Rotation (SITAR) model is a shape-invariant nonlinear mixed effect model that fits a natural cubic spline mean curve to the growth data and aligns individual-specific growth curves to the underlying mean curve via a set of random effects (see Cole, 2010 <doi:10.1093/ije/dyq115> for details). The non-Bayesian version of the SITAR model can be fit by using the already available R package 'sitar'. While the 'sitar' package allows modelling of a single outcome only, the 'bsitar' package offers great flexibility in fitting models of varying complexities, including joint modelling of multiple outcomes such as height and weight (multivariate model). Additionally, the 'bsitar' package allows for the simultaneous analysis of an outcome separately for subgroups defined by a factor variable such as gender. This is achieved by fitting separate models for each subgroup (for example males and females for gender variable). An advantage of this approach is [...truncated...]
Author: Satpal Sandhu [aut, cre, cph]
Maintainer: Satpal Sandhu <satpal.sandhu@bristol.ac.uk>

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Package emayili updated to version 0.9.3 with previous version 0.9.2 dated 2025-01-28

Title: Send Email Messages
Description: A light, simple tool for sending emails with minimal dependencies.
Author: Andrew B. Collier [aut, cre, cph], Matt Dennis [ctb], Antoine Bichat [ctb] , Daniel Fahey [ctb], Johann R. Kleinbub [ctb], Panagiotis Moulos [ctb], Swechhya Bista [ctb], Colin Fay [ctb]
Maintainer: Andrew B. Collier <andrew.b.collier@gmail.com>

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