Thu, 21 Nov 2024

Package StratPal updated to version 0.3.0 with previous version 0.2.0 dated 2024-10-04

Title: Stratigraphic Paleobiology Modeling Pipelines
Description: The fossil record is a joint expression of ecological, taphonomic, evolutionary, and stratigraphic processes (Holland and Patzkowsky, 2012, ISBN:978-0226649382). This package allowing to simulate biological processes in the time domain (e.g., trait evolution, fossil abundance), and examine how their expression in the rock record (stratigraphic domain) is influenced based on age-depth models, ecological niche models, and taphonomic effects. Functions simulating common processes used in modeling trait evolution or event type data such as first/last occurrences are provided and can be used standalone or as part of a pipeline. The package comes with example data sets and tutorials in several vignettes, which can be used as a template to set up one's own simulation.
Author: Niklas Hohmann [aut, cre]
Maintainer: Niklas Hohmann <N.H.Hohmann@uu.nl>

Diff between StratPal versions 0.2.0 dated 2024-10-04 and 0.3.0 dated 2024-11-21

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Package ceterisParibus updated to version 0.6 with previous version 0.4.2 dated 2020-03-27

Title: Ceteris Paribus Profiles
Description: Ceteris Paribus Profiles (What-If Plots) are designed to present model responses around selected points in a feature space. For example around a single prediction for an interesting observation. Plots are designed to work in a model-agnostic fashion, they are working for any predictive Machine Learning model and allow for model comparisons. Ceteris Paribus Plots supplement the Break Down Plots from 'breakDown' package.
Author: Przemyslaw Biecek [aut, cre]
Maintainer: Przemyslaw Biecek <przemyslaw.biecek@gmail.com>

Diff between ceterisParibus versions 0.4.2 dated 2020-03-27 and 0.6 dated 2024-11-21

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Package rgl2gltf updated to version 1.0.7 with previous version 1.0.5 dated 2024-09-24

Title: Read and Write '.gltf' and '.glb' Files
Description: The 'glTF' file format is used to describe 3D models. This package provides read and write functions to work with it.
Author: Duncan Murdoch [aut, cre], Morten S. Mikkelsen [cph]
Maintainer: Duncan Murdoch <murdoch.duncan@gmail.com>

Diff between rgl2gltf versions 1.0.5 dated 2024-09-24 and 1.0.7 dated 2024-11-21

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Package powertools updated to version 0.1.2 with previous version 0.1.0 dated 2024-11-14

Title: Power and Sample Size Tools
Description: Power and sample size calculations for a variety of study designs and outcomes. Methods include t tests, ANOVA (including tests for interactions, simple effects and contrasts), proportions, categorical data (chi-square tests and proportional odds), linear, logistic and Poisson regression, alternative and coprimary endpoints, power for confidence intervals, correlation coefficient tests, cluster randomized trials, individually randomized group treatment trials, multisite trials, treatment-by-covariate interaction effects and nonparametric tests of location. Utilities are provided for computing various effect sizes. Companion package to the book "Power and Sample Size in R", Crespi (2025, ISBN:9781138591622).
Author: Catherine M. Crespi [aut, cre], Zichen Liu [aut], Kristen M. McGreevy [ctb]
Maintainer: Catherine M. Crespi <ccrespi@ucla.edu>

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Package packcircles updated to version 0.3.7 with previous version 0.3.6 dated 2023-09-08

Title: Circle Packing
Description: Algorithms to find arrangements of non-overlapping circles.
Author: Michael Bedward [aut, cre], David Eppstein [aut] , Peter Menzel [aut]
Maintainer: Michael Bedward <michael.bedward@gmail.com>

Diff between packcircles versions 0.3.6 dated 2023-09-08 and 0.3.7 dated 2024-11-21

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Package aLBI updated to version 0.1.7 with previous version 0.1.6 dated 2024-11-13

Title: Estimating Length-Based Indicators for Fish Stock
Description: Provides tools for estimating length-based indicators from length frequency data to assess fish stock status and manage fisheries sustainably. Implements methods from Cope and Punt (2009) <doi:10.1577/C08-025.1> for data-limited stock assessment and Froese (2004) <doi:10.1111/j.1467-2979.2004.00144.x> for detecting overfishing using simple indicators. Key functions include: FrequencyTable(): Calculate the frequency table from the collected and also the extract the length frequency data from the frequency table with the upper length_range. A numeric value specifying the bin width for class intervals. If not provided, the bin width is automatically calculated using Sturges (1926) <doi:10.1080/01621459.1926.10502161> formula. CalPar(): Calculates various lengths used in fish stock assessment as biological length indicators such as asymptotic length (Linf), maximum length (Lmax), length at sexual maturity (Lm), and optimal length (Lopt). FishPar(): Calculates length-based [...truncated...]
Author: Ataher Ali [aut, cre], Mohammed Shahidul Alam [aut]
Maintainer: Ataher Ali <ataher.cu.ms@gmail.com>

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Package synMicrodata updated to version 2.1.0 with previous version 2.0.0 dated 2024-04-07

Title: Synthetic Microdata Generator
Description: This tool fits a non-parametric Bayesian model called a "hierarchically coupled mixture model with local dependence (HCMM-LD)" to the original microdata in order to generate synthetic microdata for privacy protection. The non-parametric feature of the adopted model is useful for capturing the joint distribution of the original input data in a highly flexible manner, leading to the generation of synthetic data whose distributional features are similar to that of the input data. The package allows the original input data to have missing values and impute them with the posterior predictive distribution, so no missing values exist in the synthetic data output. The method builds on the work of Murray and Reiter (2016) <doi:10.1080/01621459.2016.1174132>.
Author: Hang J. Kim [aut, cre], Juhee Lee [aut], Young-Min Kim [aut], Jared Murray [aut]
Maintainer: Hang J. Kim <hangkim0@gmail.com>

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Wed, 20 Nov 2024

Package knfi updated to version 1.0.1 with previous version 1.0.0 dated 2024-10-14

Title: Analysis of Korean National Forest Inventory Database
Description: Understanding the current status of forest resources is essential for monitoring changes in forest ecosystems and generating related statistics. In South Korea, the National Forest Inventory (NFI) surveys over 4,500 sample plots nationwide every five years and records 70 items, including forest stand, forest resource, and forest vegetation surveys. Many researchers use NFI as the primary data for research, such as biomass estimation or analyzing the importance value of each species over time and space, depending on the research purpose. However, the large volume of accumulated forest survey data from across the country can make it challenging to manage and utilize such a vast dataset. To address this issue, we developed an R package that efficiently handles large-scale NFI data across time and space. The package offers a comprehensive workflow for NFI data analysis. It starts with data processing, where read_nfi() function reconstructs NFI data according to the researcher's needs while [...truncated...]
Author: Sinyoung Park [aut, cre] , Wonhee Cho [aut, ctb] , Inyoo Kim [aut, ctb] , Wontaek Lim [aut, ctb] , Dongwook W. Ko [aut, ths]
Maintainer: Sinyoung Park <youngsin0306@kookmin.ac.kr>

Diff between knfi versions 1.0.0 dated 2024-10-14 and 1.0.1 dated 2024-11-20

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Package minesweeper updated to version 1.0.1 with previous version 1.0.0 dated 2024-08-30

Title: Play Minesweeper
Description: Play and record games of minesweeper using a graphics device that supports event handling. Replay recorded games and save GIF animations of them. Based on classic minesweeper as detailed by Crow P. (1997) <https://minesweepergame.com/math/a-mathematical-introduction-to-the-game-of-minesweeper-1997.pdf>.
Author: Harry Thompson [aut, cre, cph]
Maintainer: Harry Thompson <harry@mayesfield.uk>

Diff between minesweeper versions 1.0.0 dated 2024-08-30 and 1.0.1 dated 2024-11-20

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Package DEPONS2R updated to version 1.2.4 with previous version 1.2.3 dated 2024-06-28

Title: Read, Plot and Analyse Output from the DEPONS Model
Description: Methods for analyzing population dynamics and movement tracks simulated using the DEPONS model <https://www.depons.eu> (v.3.0), for manipulating input raster files, shipping routes and for analyzing sound propagated from ships.
Author: Jacob Nabe-Nielsen [aut, cre], Caitlin K. Frankish [aut]
Maintainer: Jacob Nabe-Nielsen <jnn@ecos.au.dk>

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Package lmls updated to version 0.1.1 with previous version 0.1.0 dated 2022-01-18

Title: Gaussian Location-Scale Regression
Description: The Gaussian location-scale regression model is a multi-predictor model with explanatory variables for the mean (= location) and the standard deviation (= scale) of a response variable. This package implements maximum likelihood and Markov chain Monte Carlo (MCMC) inference (using algorithms from Girolami and Calderhead (2011) <doi:10.1111/j.1467-9868.2010.00765.x> and Nesterov (2009) <doi:10.1007/s10107-007-0149-x>), a parametric bootstrap algorithm, and diagnostic plots for the model class.
Author: Hannes Riebl [aut, cre]
Maintainer: Hannes Riebl <hriebl@posteo.de>

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Package LCCR updated to version 2.0 with previous version 1.3 dated 2021-12-04

Title: Latent Class Capture-Recapture Models
Description: Estimation of latent class models with individual covariates for capture-recapture data. See Bartolucci, F. and Forcina, A. (2022), Estimating the size of a closed population by modeling latent and observed heterogeneity, Biometrics, 80(2), ujae017.
Author: Francesco Bartolucci [aut, cre], Antonio Forcina [aut]
Maintainer: Francesco Bartolucci <francesco.bartolucci@unipg.it>

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Package AdverseEvents updated to version 0.0.4 with previous version 0.0.3 dated 2024-11-04

Title: 'shiny' Application for Adverse Event Analysis of 'OnCore' Data
Description: An application for analysis of Adverse Events, as described in Chen, et al., (2023) <doi:10.3390/cancers15092521>. The required data for the application includes demographics, follow up, adverse event, drug administration and optional tumor measurement data. The app can produce swimmers plots of adverse events, Kaplan-Meier plots and Cox Proportional Hazards model results for the association of adverse event biomarkers and overall survival and progression free survival. The adverse event biomarkers include occurrence of grade 3, low grade (1-2), and treatment related adverse events. Plots and tables of results are downloadable.
Author: Z Thompson [aut, cre], A Obermayer [aut], DT Chen [aut]
Maintainer: Z Thompson <zachary.thompson@moffitt.org>

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Package suntools updated to version 1.0.1 with previous version 1.0.0 dated 2023-07-06

Title: Calculate Sun Position, Sunrise, Sunset, Solar Noon and Twilight
Description: Provides a set of convenient functions for calculating sun-related information, including the sun's position (elevation and azimuth), and the times of sunrise, sunset, solar noon, and twilight for any given geographical location on Earth. These calculations are based on equations provided by the National Oceanic & Atmospheric Administration (NOAA) <https://gml.noaa.gov/grad/solcalc/calcdetails.html> as described in "Astronomical Algorithms" by Jean Meeus (1991, ISBN: 978-0-943396-35-4).
Author: Roger Bivand [aut] , Adriaan M. Dokter [ctb, cre] , Pieter Huybrechts [ctb] , Sebastian Luque [aut], Greg Pelletier [ctb], Alexander Tedeschi [ctb]
Maintainer: Adriaan M. Dokter <amd427@cornell.edu>

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Package laminr updated to version 0.2.0 with previous version 0.1.0 dated 2024-11-10

Title: Interface for 'LaminDB'
Description: Interact with 'LaminDB'. 'LaminDB' is an open-source data framework for biology. This package allows you to query and download data from 'LaminDB' instances.
Author: Robrecht Cannoodt [aut, cre] , Luke Zappia [aut] , Data Intuitive [aut], Lamin Labs [aut, cph]
Maintainer: Robrecht Cannoodt <robrecht@data-intuitive.com>

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Package TWW updated to version 0.1.0 with previous version 0.0.1 dated 2024-09-02

Title: Growth Models
Description: A model for the growth of self-limiting populations using three, four, or five parameter functions, which have wide applications in a variety of fields. The dependent variable in a dynamical modeling could be the population size at time x, where x is the independent variable. In the analysis of quantitative polymerase chain reaction (qPCR), the dependent variable would be the fluorescence intensity and the independent variable the cycle number. This package then would calculate the TWW cycle threshold.
Author: Mohammad Tabatabai [aut], Derek Wilus [aut, cre]
Maintainer: Derek Wilus <dwilus@mmc.edu>

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Package EGRET updated to version 3.0.10 with previous version 3.0.9 dated 2023-04-18

Title: Exploration and Graphics for RivEr Trends
Description: Statistics and graphics for streamflow history, water quality trends, and the statistical modeling algorithm: Weighted Regressions on Time, Discharge, and Season (WRTDS).
Author: Robert Hirsch [aut] , Laura DeCicco [aut, cre] , Tim Cohn [ctb], David Watkins [ctb], Lindsay Carr [ctb], Jennifer Murphy [aut]
Maintainer: Laura DeCicco <ldecicco@usgs.gov>

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Package cfda updated to version 0.12.0 with previous version 0.11.0 dated 2023-10-07

Title: Categorical Functional Data Analysis
Description: Package for the analysis of categorical functional data. The main purpose is to compute an encoding (real functional variable) for each state <doi:10.3390/math9233074>. It also provides functions to perform basic statistical analysis on categorical functional data.
Author: Cristian Preda [aut], Quentin Grimonprez [aut, cre], Vincent Vandewalle [ctb]
Maintainer: Quentin Grimonprez <quentingrim@yahoo.fr>

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Package move updated to version 4.2.6 with previous version 4.2.5 dated 2024-09-29

Title: Visualizing and Analyzing Animal Track Data
Description: Contains functions to access movement data stored in 'movebank.org' as well as tools to visualize and statistically analyze animal movement data, among others functions to calculate dynamic Brownian Bridge Movement Models. Move helps addressing movement ecology questions.
Author: Bart Kranstauber [aut, cre], Marco Smolla [aut], Anne K Scharf [aut]
Maintainer: Bart Kranstauber <b.kranstauber@uva.nl>

Diff between move versions 4.2.5 dated 2024-09-29 and 4.2.6 dated 2024-11-20

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Package diceplot updated to version 0.1.4 with previous version 0.1.3 dated 2024-11-05

Title: High Dimensional Categorical Data Visualization
Description: Easy visualization for datasets with more than two categorical variables and additional continuous variables. 'diceplot' is particularly useful for exploring complex categorical data in the context of pathway analysis across multiple conditions. For a detailed documentation please visit <https://dice-and-domino-plot.readthedocs.io/en/latest/>.
Author: Matthias Flotho [aut, cre]
Maintainer: Matthias Flotho <matthias.flotho@ccb.uni-saarland.de>

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Package dint updated to version 2.1.5 with previous version 2.1.4 dated 2022-10-17

Title: A Toolkit for Year-Quarter, Year-Month and Year-Isoweek Dates
Description: S3 classes and methods to create and work with year-quarter, year-month and year-isoweek vectors. Basic arithmetic operations (such as adding and subtracting) are supported, as well as formatting and converting to and from standard R date types.
Author: Stefan Fleck [aut, cre]
Maintainer: Stefan Fleck <stefan.b.fleck@gmail.com>

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Package eq5d updated to version 0.15.5 with previous version 0.15.4 dated 2024-09-04

Title: Methods for Analysing 'EQ-5D' Data and Calculating 'EQ-5D' Index Scores
Description: EQ-5D is a popular health related quality of life instrument used in the clinical and economic evaluation of health care. Developed by the EuroQol group <https://euroqol.org/>, the instrument consists of two components: health state description and evaluation. For the description component a subject self-rates their health in terms of five dimensions; mobility, self-care, usual activities, pain/discomfort, and anxiety/depression using either a three-level (EQ-5D-3L, <https://euroqol.org/information-and-support/euroqol-instruments/eq-5d-3l/>) or a five-level (EQ-5D-5L, <https://euroqol.org/information-and-support/euroqol-instruments/eq-5d-5l/>) scale. Frequently the scores on these five dimensions are converted to a single utility index using country specific value sets, which can be used in the clinical and economic evaluation of health care as well as in population health surveys. The eq5d package provides methods to calculate index scores from a subject's dimension [...truncated...]
Author: Fraser Morton [aut, cre], Jagtar Singh Nijjar [aut]
Maintainer: Fraser Morton <fraser.morton@glasgow.ac.uk>

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Package testCompareR updated to version 1.1.1 with previous version 1.1.0 dated 2024-10-02

Title: Comparing Two Diagnostic Tests with Dichotomous Results using Paired Data
Description: Provides a method for comparing the results of two binary diagnostic tests using paired data. Users can rapidly perform descriptive and inferential statistics in a single function call. Options permit users to select which parameters they are interested in comparing and methods for correction for multiple comparisons. Confidence intervals are calculated using the methods with the best coverage. Hypothesis tests use the methods with the best asymptotic performance. A summary of the methods is available in Roldán-Nofuentes (2020) <doi:10.1186/s12874-020-00988-y>. This package is targeted at clinical researchers who want to rapidly and effectively compare results from binary diagnostic tests.
Author: Kyle J. Wilson [cre, aut] , Marc Henrion [aut] , Jose Antonio Roldan Nofuentes [aut]
Maintainer: Kyle J. Wilson <kyle.jordan.wilson@googlemail.com>

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Package LaMa updated to version 2.0.2 with previous version 2.0.1 dated 2024-11-13

Title: Fast Numerical Maximum Likelihood Estimation for Latent Markov Models
Description: A variety of latent Markov models, including hidden Markov models, hidden semi-Markov models, state-space models and continuous-time variants can be formulated and estimated within the same framework via directly maximising the likelihood function using the so-called forward algorithm. Applied researchers often need custom models that standard software does not easily support. Writing tailored 'R' code offers flexibility but suffers from slow estimation speeds. We address these issues by providing easy-to-use functions (written in 'C++' for speed) for common tasks like the forward algorithm. These functions can be combined into custom models in a Lego-type approach, offering up to 10-20 times faster estimation via standard numerical optimisers. To aid in building fully custom likelihood functions, several vignettes are included that show how to simulate data from and estimate all the above model classes.
Author: Jan-Ole Koslik [aut, cre]
Maintainer: Jan-Ole Koslik <jan-ole.koslik@uni-bielefeld.de>

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Package GD updated to version 10.8 with previous version 10.6 dated 2024-10-30

Title: Geographical Detectors for Assessing Spatial Factors
Description: Geographical detectors for measuring spatial stratified heterogeneity, as described in Jinfeng Wang (2010) <doi:10.1080/13658810802443457> and Jinfeng Wang (2016) <doi:10.1016/j.ecolind.2016.02.052>. Includes the optimal discretization of continuous data, four primary functions of geographical detectors, comparison of size effects of spatial unit and the visualizations of results. To use the package and to refer the descriptions of the package, methods and case datasets, please cite Yongze Song (2020) <doi:10.1080/15481603.2020.1760434>. The model has been applied in factor exploration of road performance and multi-scale spatial segmentation for network data, as described in Yongze Song (2018) <doi:10.3390/rs10111696> and Yongze Song (2020) <doi:10.1109/TITS.2020.3001193>, respectively.
Author: Yongze Song [aut, cph] , Wenbo Lv [aut, cre]
Maintainer: Wenbo Lv <lyu.geosocial@gmail.com>

Diff between GD versions 10.6 dated 2024-10-30 and 10.8 dated 2024-11-20

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Package snotelr updated to version 1.5.2 with previous version 1.5.1 dated 2024-10-02

Title: Calculate and Visualize 'SNOTEL' Snow Data and Seasonality
Description: Programmatic interface to the 'SNOTEL' snow data (<https://www.nrcs.usda.gov/programs-initiatives/sswsf-snow-survey-and-water-supply-forecasting-program>). Provides easy downloads of snow data into your R work space or a local directory. Additional post-processing routines to extract snow season indexes are provided.
Author: Koen Hufkens [aut, cre] , BlueGreen Labs [cph, fnd]
Maintainer: Koen Hufkens <koen.hufkens@gmail.com>

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Package prnsamplr updated to version 1.0.0 with previous version 0.3.0 dated 2023-03-08

Title: Permanent Random Number Sampling
Description: Survey sampling using permanent random numbers (PRN's). A solution to the problem of unknown overlap between survey samples, which leads to a low precision in estimates when the survey is repeated or combined with other surveys. The PRN solution is to supply the U(0, 1) random numbers to the sampling procedure, instead of having the sampling procedure generate them. In Lindblom (2014) <doi:10.2478/jos-2014-0047>, and therein cited papers, it is shown how this is carried out and how it improves the estimates. This package supports two common fixed-size sampling procedures (simple random sampling and probability-proportional-to-size sampling) and includes a function for transforming the PRN's in order to control the sample overlap.
Author: Kira Coder Gylling [aut, cre]
Maintainer: Kira Coder Gylling <kira.gylling@gmail.com>

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Package era updated to version 0.5.0 with previous version 0.4.1 dated 2022-11-17

Title: Year-Based Time Scales
Description: Provides a consistent representation of year-based time scales as a numeric vector with an associated 'era'. There are built-in era definitions for many year numbering systems used in contemporary and historic calendars (e.g. Common Era, Islamic 'Hijri' years); year-based time scales used in archaeology, astronomy, geology, and other palaeosciences (e.g. Before Present, SI-prefixed 'annus'); and support for arbitrary user-defined eras. Years can converted from any one era to another using a generalised transformation function. Methods are also provided for robust casting and coercion between years and other numeric types, type-stable arithmetic with years, and pretty-printing in tables.
Author: Joe Roe [aut, cre]
Maintainer: Joe Roe <joe@joeroe.io>

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Package vaxpmx updated to version 0.0.6 with previous version 0.0.3 dated 2024-02-28

Title: Vaccines Pharmacometrics
Description: Estimate vaccine efficacy (VE) using immunogenicity data. The inclusion of immunogenicity data in regression models can increase precision in VE. The methods are described in the publications "Elucidating vaccine efficacy using a correlate of protection, demographics, and logistic regression" and "Improving precision of vaccine efficacy evaluation using immune correlate data in time-to-event models" by Julie Dudasova, Zdenek Valenta, and Jeffrey R. Sachs (2024).
Author: Julie Dudasova [aut, cre]
Maintainer: Julie Dudasova (MSD) <julie.dudasova@merck.com>

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Package grates updated to version 1.3.0 with previous version 1.2.2 dated 2024-08-29

Title: Grouped Date Classes
Description: Provides a coherent interface and implementation for creating grouped date classes. This package is part of the RECON (<https://www.repidemicsconsortium.org/>) toolkit for outbreak analysis.
Author: Tim Taylor [aut, cre]
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>

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Package argparse updated to version 2.2.4 with previous version 2.2.3 dated 2024-04-09

Title: Command Line Optional and Positional Argument Parser
Description: A command line parser to be used with 'Rscript' to write "#!" shebang scripts that gracefully accept positional and optional arguments and automatically generate usage.
Author: Trevor L. Davis [aut, cre] , Allen Day [ctb] , Python Software Foundation [ctb] , Paul Newell [ctb]
Maintainer: Trevor L. Davis <trevor.l.davis@gmail.com>

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Package targets updated to version 1.9.0 with previous version 1.8.0 dated 2024-10-02

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

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Package plotscaper updated to version 0.2.4 with previous version 0.2.3 dated 2024-10-18

Title: Explore Your Data with Interactive Figures
Description: A framework for creating interactive figures for data exploration. All plots are automatically linked and support several kinds of interactive features, including selection, zooming, panning, and parameter manipulation. The figures can be interacted with either manually, using a mouse and a keyboard, or by running code from inside an active R session.
Author: Adam Bartonicek [aut, cre, cph]
Maintainer: Adam Bartonicek <bartonicek@gmail.com>

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Package NLP updated to version 0.3-2 with previous version 0.3-1 dated 2024-11-13

Title: Natural Language Processing Infrastructure
Description: Basic classes and methods for Natural Language Processing.
Author: Kurt Hornik [aut, cre]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

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Package rtide updated to version 0.0.11 with previous version 0.0.10 dated 2024-08-19

Title: Tide Heights
Description: Calculates tide heights based on tide station harmonics. It includes the harmonics data for 637 US stations. The harmonics data was converted from <https://github.com/poissonconsulting/rtide/blob/main/data-raw/harmonics-dwf-20151227-free.tar.bz2>, NOAA web site data processed by David Flater for 'XTide'. The code to calculate tide heights from the harmonics is based on 'XTide'.
Author: Joe Thorley [aut] , Luke Miller [aut, cre], Abram Fleishman [aut], Poisson Consulting [cph]
Maintainer: Luke Miller <contact@lukemiller.org>

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Package scoredec updated to version 0.1.2 with previous version 0.1.1 dated 2024-10-20

Title: S-Core Graph Decomposition
Description: S-Core Graph Decomposition algorithm for graphs. This is a method for decomposition of a weighted graph, as proposed by Eidsaa and Almaas (2013) <doi:10.1103/PhysRevE.88.062819>. The high speed and the low memory usage make it suitable for large graphs.
Author: Christos Adam [aut, cre]
Maintainer: Christos Adam <econp266@econ.soc.uoc.gr>

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Package OlympicRshiny updated to version 1.0.2 with previous version 1.0.1 dated 2024-02-06

Title: 'Shiny' Application for Olympic Data
Description: 'Shiny' Application to visualize Olympic Data. From 1896 to 2016. Even Winter Olympics events are included. Data is from Kaggle at <https://www.kaggle.com/heesoo37/120-years-of-olympic-history-athletes-and-results>.
Author: Amalan Mahendran [cre, aut]
Maintainer: Amalan Mahendran <amalan0595@gmail.com>

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Package fitODBOD updated to version 1.5.4 with previous version 1.5.3 dated 2024-10-10

Title: Modeling Over Dispersed Binomial Outcome Data Using BMD and ABD
Description: Contains Probability Mass Functions, Cumulative Mass Functions, Negative Log Likelihood value, parameter estimation and modeling data using Binomial Mixture Distributions (BMD) (Manoj et al (2013) <doi:10.5539/ijsp.v2n2p24>) and Alternate Binomial Distributions (ABD) (Paul (1985) <doi:10.1080/03610928508828990>), also Journal article to use the package(<doi:10.21105/joss.01505>).
Author: Amalan Mahendran [aut, cre] , Pushpakanthie Wijekoon [aut, ctb]
Maintainer: Amalan Mahendran <amalan0595@gmail.com>

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Package corbouli updated to version 0.1.3 with previous version 0.1.2 dated 2024-10-04

Title: Corbae-Ouliaris Frequency Domain Filtering
Description: Corbae-Ouliaris frequency domain filtering. According to Corbae and Ouliaris (2006) <doi:10.1017/CBO9781139164863.008>, this is a solution for extracting cycles from time series, like business cycles etc. when filtering. This method is valid for both stationary and non-stationary time series.
Author: Christos Adam [aut, cre]
Maintainer: Christos Adam <econp266@econ.soc.uoc.gr>

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Package SoundShape updated to version 1.3.2 with previous version 1.3.1 dated 2024-10-02

Title: Sound Waves Onto Morphometric Data
Description: Implement a promising, and yet little explored protocol for bioacoustical analysis, the eigensound method by MacLeod, Krieger and Jones (2013) <doi:10.4404/hystrix-24.1-6299>. Eigensound is a multidisciplinary method focused on the direct comparison between stereotyped sounds from different species. 'SoundShape', in turn, provide the tools required for anyone to go from sound waves to Principal Components Analysis, using tools extracted from traditional bioacoustics (i.e. 'tuneR' and 'seewave' packages), geometric morphometrics (i.e. 'geomorph' package) and multivariate analysis (e.g. 'stats' package). For more information, please see Rocha and Romano (2021) and check 'SoundShape' repository on GitHub for news and updates <https://github.com/p-rocha/SoundShape>.
Author: Pedro Rocha [aut, cre]
Maintainer: Pedro Rocha <p.rocha1990@gmail.com>

Diff between SoundShape versions 1.3.1 dated 2024-10-02 and 1.3.2 dated 2024-11-20

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Tue, 19 Nov 2024

Package spatstat updated to version 3.3-0 with previous version 3.2-1 dated 2024-09-22

Title: Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests
Description: Comprehensive open-source toolbox for analysing Spatial Point Patterns. Focused mainly on two-dimensional point patterns, including multitype/marked points, in any spatial region. Also supports three-dimensional point patterns, space-time point patterns in any number of dimensions, point patterns on a linear network, and patterns of other geometrical objects. Supports spatial covariate data such as pixel images. Contains over 3000 functions for plotting spatial data, exploratory data analysis, model-fitting, simulation, spatial sampling, model diagnostics, and formal inference. Data types include point patterns, line segment patterns, spatial windows, pixel images, tessellations, and linear networks. Exploratory methods include quadrat counts, K-functions and their simulation envelopes, nearest neighbour distance and empty space statistics, Fry plots, pair correlation function, kernel smoothed intensity, relative risk estimation with cross-validated bandwidth selection, mark correlatio [...truncated...]
Author: Adrian Baddeley [aut, cre] , Rolf Turner [aut] , Ege Rubak [aut]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package pooledpeaks updated to version 1.0.7 with previous version 1.0.6 dated 2024-09-12

Title: Genetic Analysis of Pooled Samples
Description: Analyzing genetic data obtained from pooled samples. This package can read in Fragment Analysis output files, process the data, and score peaks, as well as facilitate various analyses, including cluster analysis, calculation of genetic distances and diversity indices, as well as bootstrap resampling for statistical inference. Specifically tailored to handle genetic data efficiently, researchers can explore population structure, genetic differentiation, and genetic relatedness among samples. We updated some functions from Covarrubias-Pazaran et al. (2016) <doi:10.1186/s12863-016-0365-6> to allow for the use of new file formats and referenced the following to write our genetic analysis functions: Long et al. (2022) <doi:10.1038/s41598-022-04776-0>, Jost (2008) <doi:10.1111/j.1365-294x.2008.03887.x>, Nei (1973) <doi:10.1073/pnas.70.12.3321>, Foulley et al. (2006) <doi:10.1016/j.livprodsci.2005.10.021>, Chao et al. (2008) <doi:10.1111/j.1541-0420.2008.01010 [...truncated...]
Author: Kathleen Kuesters [aut, cre, cph] , Jeffrey Long [aut], Jessica Blanton [aut], Walter Blank [ctb], Jeffrey Kovach [ctb], Ronald Blanton [ctb]
Maintainer: Kathleen Kuesters <kathleen.kuesters@gmail.com>

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Package hdar updated to version 1.0.4 with previous version 1.0.2 dated 2024-09-28

Title: 'REST' API Client for Accessing Data on 'WEkEO HDA V2'
Description: Provides seamless access to the WEkEO Harmonised Data Access (HDA) API, enabling users to query, download, and process data efficiently from the HDA platform. With 'hdar', researchers and data scientists can integrate the extensive HDA datasets into their R workflows, enhancing their data analysis capabilities. Comprehensive information on the API functionality and usage is available at <https://gateway.prod.wekeo2.eu/hda-broker/docs>.
Author: Matteo Mattiuzzi [aut, cre]
Maintainer: Matteo Mattiuzzi <matteo.mattiuzzi@eea.europa.eu>

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Package vivainsights updated to version 0.5.5 with previous version 0.5.4 dated 2024-09-06

Title: Analyze and Visualize Data from 'Microsoft Viva Insights'
Description: Provides a versatile range of functions, including exploratory data analysis, time-series analysis, organizational network analysis, and data validation, whilst at the same time implements a set of best practices in analyzing and visualizing data specific to 'Microsoft Viva Insights'.
Author: Martin Chan [aut, cre], Carlos Morales [aut]
Maintainer: Martin Chan <martin.chan@microsoft.com>

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Package RRBoost updated to version 0.2 with previous version 0.1 dated 2020-10-13

Title: A Robust Boosting Algorithm
Description: An implementation of robust boosting algorithms for regression in R. This includes the RRBoost method proposed in the paper "Robust Boosting for Regression Problems" (Ju X and Salibian-Barrera M. 2020) <doi:10.1016/j.csda.2020.107065>. It also implements previously proposed boosting algorithms in the simulation section of the paper: L2Boost, LADBoost, MBoost (Friedman, J. H. (2001) <doi:10.1214/aos/1013203451>) and Robloss (Lutz et al. (2008) <doi:10.1016/j.csda.2007.11.006>).
Author: Xiaomeng Ju [aut, cre], Matias Salibian-Barrera [aut]
Maintainer: Xiaomeng Ju <xiaomeng.ju@stat.ubc.ca>

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Package polylabelr updated to version 0.3.0 with previous version 0.2.0 dated 2020-04-19

Title: Find the Pole of Inaccessibility (Visual Center) of a Polygon
Description: A wrapper around the C++ library 'polylabel' from 'Mapbox', providing an efficient routine for finding the approximate pole of inaccessibility of a polygon, which usually serves as an excellent candidate for labeling of a polygon.
Author: Johan Larsson [aut, cre] , Kent Johnson [ctb], Mapbox [cph]
Maintainer: Johan Larsson <johanlarsson@outlook.com>

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Package HelpersMG updated to version 6.3 with previous version 6.2 dated 2024-08-23

Title: Tools for Environmental Analyses, Ecotoxicology and Various R Functions
Description: Contains miscellaneous functions useful for managing 'NetCDF' files (see <https://en.wikipedia.org/wiki/NetCDF>), get moon phase and time for sun rise and fall, tide level, analyse and reconstruct periodic time series of temperature with irregular sinusoidal pattern, show scales and wind rose in plot with change of color of text, Metropolis-Hastings algorithm for Bayesian MCMC analysis, plot graphs or boxplot with error bars, search files in disk by there names or their content, read the contents of all files from a folder at one time.
Author: Marc Girondot [aut, cre]
Maintainer: Marc Girondot <marc.girondot@gmail.com>

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Package eoa3 updated to version 1.0.0.2 with previous version 1.0.0.1 dated 2023-07-04

Title: Wildlife Mortality Estimator for Low Fatality Rates and Imperfect Detection
Description: Evidence of Absence software (EoA) is a user-friendly application for estimating bird and bat fatalities at wind farms and designing search protocols. The software is particularly useful in addressing whether the number of fatalities has exceeded a given threshold and what search parameters are needed to give assurance that thresholds were not exceeded. The models are applicable even when zero carcasses have been found in searches, following Huso et al. (2015) <doi:10.1890/14-0764.1>, Dalthorp et al. (2017) <doi:10.3133/ds1055>, and Dalthorp and Huso (2015) <doi:10.3133/ofr20151227>.
Author: Daniel Dalthorp [aut, cre]
Maintainer: Daniel Dalthorp <ddalthorp@protonmail.com>

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Package datacutr updated to version 0.2.0 with previous version 0.1.0 dated 2023-03-31

Title: SDTM Datacut
Description: Supports the process of applying a cut to Standard Data Tabulation Model (SDTM), as part of the analysis of specific points in time of the data, normally as part of investigation into clinical trials. The functions support different approaches of cutting to the different domains of SDTM normally observed.
Author: Tim Barnett [cph, aut, cre], Nathan Rees [aut], Alana Harris [aut], Cara Andrews [aut]
Maintainer: Tim Barnett <timothy.barnett@roche.com>

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Package watson updated to version 0.5 with previous version 0.4 dated 2023-06-01

Title: Fitting and Simulating Mixtures of Watson Distributions
Description: Tools for fitting and simulating mixtures of Watson distributions. The random sampling scheme of the package offers two sampling algorithms that are based of the results of Sablica, Hornik and Leydold (2022) <https://research.wu.ac.at/en/publications/random-sampling-from-the-watson-distribution>. What is more, the package offers a smart tool to combine these two methods, and based on the selected parameters, it approximates the relative sampling speed for both methods and picks the faster one. In addition, the package offers a fitting function for the mixtures of Watson distribution, that uses the expectation-maximization (EM) algorithm. Special features are the possibility to use multiple variants of the E-step and M-step, sparse matrices for the data representation and state of the art methods for numerical evaluation of needed special functions using the results of Sablica and Hornik (2022) <https://www.ams.org/journals/mcom/2022-91-334/S0025-5718-2021-03690-X/>.
Author: Lukas Sablica [aut, cre] , Kurt Hornik [aut] , Josef Leydold [aut] , Gerard Jungman [ctb, cph] , Brian Gough [ctb, cph]
Maintainer: Lukas Sablica <lsablica@wu.ac.at>

Diff between watson versions 0.4 dated 2023-06-01 and 0.5 dated 2024-11-19

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Package hyperbolicDEA updated to version 1.0.1 with previous version 1.0.0 dated 2024-03-18

Title: Hyperbolic DEA Estimation
Description: Implements Data Envelopment Analysis (DEA) with a hyperbolic orientation using a non-linear programming solver. It enables flexible estimations with weight restrictions, non-discretionary variables, and a generalized distance function. Additionally, it allows for the calculation of slacks and super-efficiency scores. The methods are detailed in Öttl et al. (2023), <doi:10.1016/j.dajour.2023.100343>. Furthermore, the package provides a non-linear profitability estimation built upon the DEA framework.
Author: Alexander Oettl [cre, aut] , Daniel Gulde [aut]
Maintainer: Alexander Oettl <alexoettl34@gmail.com>

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Package cols updated to version 1.3 with previous version 1.2 dated 2024-10-16

Title: Constrained Ordinary Least Squares
Description: Constrained ordinary least squares is performed. One constraint is that all beta coefficients (including the constant) cannot be negative. They can be either 0 or strictly positive. Another constraint is that the sum of the beta coefficients equals a constant. References: Hansen, B. E. (2022). Econometrics, Princeton University Press. <ISBN:9780691235899>.
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

Diff between cols versions 1.2 dated 2024-10-16 and 1.3 dated 2024-11-19

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Package CDsampling updated to version 0.1.2 with previous version 0.1.1 dated 2024-10-13

Title: 'CDsampling': Constraint Sampling in Paid Research Studies
Description: In the context of paid research studies and clinical trials, budget considerations and patient sampling from available populations are subject to inherent constraints. We introduce the 'CDsampling' package, which integrates optimal design theories within the framework of constrained sampling. This package offers the possibility to find both D-optimal approximate and exact allocations for samplings with or without constraints. Additionally, it provides functions to find constrained uniform sampling as a robust sampling strategy with limited model information. Our package offers functions for the computation of the Fisher information matrix under generalized linear models (including regular linear regression model) and multinomial logistic models.To demonstrate the applications, we also provide a simulated dataset and a real dataset embedded in the package. Yifei Huang, Liping Tong, and Jie Yang (2025)<doi:10.5705/ss.202022.0414>.
Author: Yifei Huang [aut, cre], Liping Tong [aut], Jie Yang [aut]
Maintainer: Yifei Huang <yhuan39@uic.edu>

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Package LikertMakeR updated to version 0.4.0 with previous version 0.3.0 dated 2024-05-19

Title: Synthesise and Correlate Likert Scale and Related Rating-Scale Data
Description: Synthesise Likert scale and related rating-scale data with predefined first and second moments (mean and standard deviation), and, optionally, correlate multiple vectors using a predefined correlation matrix. Additionally, generate synthetic rating-scale items with a predefined Cronbach's Alpha, or create rating-scale items based on a predefined summated scale.
Author: Hume Winzar [cre, aut]
Maintainer: Hume Winzar <winzar@gmail.com>

Diff between LikertMakeR versions 0.3.0 dated 2024-05-19 and 0.4.0 dated 2024-11-19

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Package kergp updated to version 0.5.8 with previous version 0.5.7 dated 2024-02-05

Title: Gaussian Process Laboratory
Description: Gaussian process regression with an emphasis on kernels. Quantitative and qualitative inputs are accepted. Some pre-defined kernels are available, such as radial or tensor-sum for quantitative inputs, and compound symmetry, low rank, group kernel for qualitative inputs. The user can define new kernels and composite kernels through a formula mechanism. Useful methods include parameter estimation by maximum likelihood, simulation, prediction and leave-one-out validation.
Author: Yves Deville [aut] , David Ginsbourger [aut] , Olivier Roustant [aut, cre], Nicolas Durrande [ctb]
Maintainer: Olivier Roustant <roustant@insa-toulouse.fr>

Diff between kergp versions 0.5.7 dated 2024-02-05 and 0.5.8 dated 2024-11-19

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Package HMMRel updated to version 0.1.1 with previous version 0.1.0 dated 2024-11-15

Title: Hidden Markov Models for Reliability and Maintenance
Description: Reliability Analysis and Maintenance Optimization using Hidden Markov Models (HMM). The use of HMMs to model the state of a system which is not directly observable and instead certain indicators (signals) of the true situation are provided via a control system. A hidden model can provide key information about the system dependability, such as the reliability of the system and related measures. An estimation procedure is implemented based on the Baum-Welch algorithm. Classical structures such as K-out-of-N systems and Shock models are illustrated. Finally, the maintenance of the system is considered in the HMM context and two functions for new preventive maintenance strategies are considered. Maintenance efficiency is measured in terms of expected cost. Methods are described in Gamiz, Limnios, and Segovia-Garcia (2023) <doi:10.1016/j.ejor.2022.05.006>.
Author: M.L. Gamiz [aut, cre, cph], N. Limnios [aut, cph], M.C. Segovia-Garcia [aut, cph]
Maintainer: M.L. Gamiz <mgamiz@ugr.es>

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Package ggiraph updated to version 0.8.11 with previous version 0.8.10 dated 2024-05-17

Title: Make 'ggplot2' Graphics Interactive
Description: Create interactive 'ggplot2' graphics using 'htmlwidgets'.
Author: David Gohel [aut, cre], Panagiotis Skintzos [aut], Mike Bostock [cph] , Speros Kokenes [cph] , Eric Shull [cph] , Lee Thomason [cph] , Vladimir Agafonkin [cph] , Eric Book [ctb]
Maintainer: David Gohel <david.gohel@ardata.fr>

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Package file2meco updated to version 0.9.1 with previous version 0.9.0 dated 2024-10-31

Title: Transform Files to 'microtable' Object with 'microeco' Package
Description: Transform output files of some tools to the 'microtable' object of 'microtable' class in 'microeco' package. The 'microtable' class is the basic class in 'microeco' package and is necessary for the downstream microbial community data analysis.
Author: Chi Liu [aut, cre]
Maintainer: Chi Liu <liuchi0426@126.com>

Diff between file2meco versions 0.9.0 dated 2024-10-31 and 0.9.1 dated 2024-11-19

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Package tram updated to version 1.2-0 with previous version 1.1-2 dated 2024-10-04

Title: Transformation Models
Description: Formula-based user-interfaces to specific transformation models implemented in package 'mlt' (<DOI:10.32614/CRAN.package.mlt>, <DOI:10.32614/CRAN.package.mlt.docreg>). Available models include Cox models, some parametric survival models (Weibull, etc.), models for ordered categorical variables, normal and non-normal (Box-Cox type) linear models, and continuous outcome logistic regression (Lohse et al., 2017, <DOI:10.12688/f1000research.12934.1>). The underlying theory is described in Hothorn et al. (2018) <DOI:10.1111/sjos.12291>. An extension to transformation models for clustered data is provided (Barbanti and Hothorn, 2022, <DOI:10.1093/biostatistics/kxac048>). Multivariate conditional transformation models (Klein et al, 2022, <DOI:10.1111/sjos.12501>) and shift-scale transformation models (Siegfried et al, 2023, <DOI:10.1080/00031305.2023.2203177>) can be fitted as well.
Author: Torsten Hothorn [aut, cre] , Luisa Barbanti [aut] , Sandra Siegfried [aut] , Brian Ripley [ctb], Bill Venables [ctb], Douglas M. Bates [ctb], Nadja Klein [ctb]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package schoRsch updated to version 1.11 with previous version 1.10 dated 2022-11-01

Title: Tools for Analyzing Factorial Experiments
Description: Offers a helping hand to psychologists and other behavioral scientists who routinely deal with experimental data from factorial experiments. It includes several functions to format output from other R functions according to the style guidelines of the APA (American Psychological Association). This formatted output can be copied directly into manuscripts to facilitate data reporting. These features are backed up by a toolkit of several small helper functions, e.g., offering out-of-the-box outlier removal. The package lends its name to Georg "Schorsch" Schuessler, ingenious technician at the Department of Psychology III, University of Wuerzburg. For details on the implemented methods, see Roland Pfister and Markus Janczyk (2016) <doi: 10.20982/tqmp.12.2.p147>.
Author: Roland Pfister [aut, cre], Markus Janczyk [aut]
Maintainer: Roland Pfister <mail@roland-pfister.net>

Diff between schoRsch versions 1.10 dated 2022-11-01 and 1.11 dated 2024-11-19

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Package mlt.docreg updated to version 1.1-10 with previous version 1.1-9 dated 2024-09-20

Title: Most Likely Transformations: Documentation and Regression Tests
Description: Additional documentation, a package vignette and regression tests for package mlt.
Author: Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package spatstat.linnet updated to version 3.2-3 with previous version 3.2-2 dated 2024-09-20

Title: Linear Networks Functionality of the 'spatstat' Family
Description: Defines types of spatial data on a linear network and provides functionality for geometrical operations, data analysis and modelling of data on a linear network, in the 'spatstat' family of packages. Contains definitions and support for linear networks, including creation of networks, geometrical measurements, topological connectivity, geometrical operations such as inserting and deleting vertices, intersecting a network with another object, and interactive editing of networks. Data types defined on a network include point patterns, pixel images, functions, and tessellations. Exploratory methods include kernel estimation of intensity on a network, K-functions and pair correlation functions on a network, simulation envelopes, nearest neighbour distance and empty space distance, relative risk estimation with cross-validated bandwidth selection. Formal hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov, Monte Carlo, Diggle-Cressie-Loosmore-Ford, Dao-Genton, two-stage Mont [...truncated...]
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Greg McSwiggan [aut, cph], Tilman Davies [ctb, cph], Mehdi Moradi [ctb, cph], Suman Rakshit [ctb, cph], Ottmar Cronie [ctb]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package openairmaps updated to version 0.9.1 with previous version 0.9.0 dated 2024-05-19

Title: Create Maps of Air Pollution Data
Description: Combine the air quality data analysis methods of 'openair' with the JavaScript 'Leaflet' (<https://leafletjs.com/>) library. Functionality includes plotting site maps, "directional analysis" figures such as polar plots, and air mass trajectories.
Author: Jack Davison [cre, aut] , David Carslaw [aut]
Maintainer: Jack Davison <jack.davison@ricardo.com>

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Package mulea updated to version 1.1.1 with previous version 1.1.0 dated 2024-09-24

Title: Enrichment Analysis Using Multiple Ontologies and False Discovery Rate
Description: Background - Traditional gene set enrichment analyses are typically limited to a few ontologies and do not account for the interdependence of gene sets or terms, resulting in overcorrected p-values. To address these challenges, we introduce mulea, an R package offering comprehensive overrepresentation and functional enrichment analysis. Results - mulea employs a progressive empirical false discovery rate (eFDR) method, specifically designed for interconnected biological data, to accurately identify significant terms within diverse ontologies. mulea expands beyond traditional tools by incorporating a wide range of ontologies, encompassing Gene Ontology, pathways, regulatory elements, genomic locations, and protein domains. This flexibility enables researchers to tailor enrichment analysis to their specific questions, such as identifying enriched transcriptional regulators in gene expression data or overrepresented protein domains in protein sets. To facilitate seamless analysis, mulea p [...truncated...]
Author: Cezary Turek [aut] , Marton Olbei [aut] , Tamas Stirling [aut, cre] , Gergely Fekete [aut] , Ervin Tasnadi [aut] , Leila Gul [aut], Balazs Bohar [aut] , Balazs Papp [aut] , Wiktor Jurkowski [aut] , Eszter Ari [aut, cph]
Maintainer: Tamas Stirling <stirling.tamas@gmail.com>

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Package cleaner updated to version 1.5.5 with previous version 1.5.4 dated 2022-10-29

Title: Fast and Easy Data Cleaning
Description: Data cleaning functions for classes logical, factor, numeric, character, currency and Date to make data cleaning fast and easy. Relying on very few dependencies, it provides smart guessing, but with user options to override anything if needed.
Author: Matthijs S. Berends [aut, cre]
Maintainer: Matthijs S. Berends <m.s.berends@umcg.nl>

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Package spatstat.model updated to version 3.3-3 with previous version 3.3-2 dated 2024-09-19

Title: Parametric Statistical Modelling and Inference for the 'spatstat' Family
Description: Functionality for parametric statistical modelling and inference for spatial data, mainly spatial point patterns, in the 'spatstat' family of packages. (Excludes analysis of spatial data on a linear network, which is covered by the separate package 'spatstat.linnet'.) Supports parametric modelling, formal statistical inference, and model validation. Parametric models include Poisson point processes, Cox point processes, Neyman-Scott cluster processes, Gibbs point processes and determinantal point processes. Models can be fitted to data using maximum likelihood, maximum pseudolikelihood, maximum composite likelihood and the method of minimum contrast. Fitted models can be simulated and predicted. Formal inference includes hypothesis tests (quadrat counting tests, Cressie-Read tests, Clark-Evans test, Berman test, Diggle-Cressie-Loosmore-Ford test, scan test, studentised permutation test, segregation test, ANOVA tests of fitted models, adjusted composite likelihood ratio test, envelope t [...truncated...]
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Kasper Klitgaard Berthelsen [ctb], Achmad Choiruddin [ctb, cph], Jean-Francois Coeurjolly [ctb], Ottmar Cronie [ctb], Tilman Davies [ctb], Julian Gilbey [ctb], Yongtao [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package LST updated to version 2.0.0 with previous version 1.1.0 dated 2021-05-17

Title: Land Surface Temperature Retrieval for Landsat 8
Description: Calculates Land Surface Temperature from Landsat band 10 and 11. Revision of the Single-Channel Algorithm for Land Surface Temperature Retrieval From Landsat Thermal-Infrared Data. Jimenez-Munoz JC, Cristobal J, Sobrino JA, et al (2009). <doi: 10.1109/TGRS.2008.2007125>. Land surface temperature retrieval from LANDSAT TM 5. Sobrino JA, Jiménez-Muñoz JC, Paolini L (2004). <doi:10.1016/j.rse.2004.02.003>. Surface temperature estimation in Singhbhum Shear Zone of India using Landsat-7 ETM+ thermal infrared data. Srivastava PK, Majumdar TJ, Bhattacharya AK (2009). <doi: 10.1016/j.asr.2009.01.023>. Mapping land surface emissivity from NDVI: Application to European, African, and South American areas. Valor E (1996). <doi:10.1016/0034-4257(96)00039-9>. On the relationship between thermal emissivity and the normalized difference vegetation index for natural surfaces. Van de Griend AA, Owe M (1993). <doi:10.1080/01431169308904400>. Land Surface Temperature Retrieva [...truncated...]
Author: Bappa Das [aut, cre] , Debasish Roy [aut, ctb], Debashis Chakraborty [aut, ctb], Pooja Rathore [aut, ctb]
Maintainer: Bappa Das <bappa.iari.1989@gmail.com>

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Package pkgdepR updated to version 1.1.1 with previous version 1.1.0 dated 2024-11-18

Title: Statically Determine Function Dependencies Between Packages
Description: Statically determine and visualize the function dependencies within and across packages. This may be useful for managing function dependencies across a code base of multiple R packages.
Author: Ed Peyton [aut, cre]
Maintainer: Ed Peyton <edppeyton@gmail.com>

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Package opendataformat updated to version 2.0.0 with previous version 1.3.0 dated 2024-10-07

Title: Reading and Writing Open Data Format Files
Description: The Open Data Format (ODF) is a new, non-proprietary, multilingual, metadata enriched, and zip-compressed data format with metadata structured in the Data Documentation Initiative (DDI) Codebook standard. This package allows reading and writing of data files in the Open Data Format (ODF) in R, and displaying metadata in different languages. For further information on the Open Data Format, see <https://opendataformat.github.io/>.
Author: Tom Hartl [aut, cre] , Claudia Saalbach [ctb]
Maintainer: Tom Hartl <thartl@diw.de>

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Package epiR updated to version 2.0.77 with previous version 2.0.76 dated 2024-09-15

Title: Tools for the Analysis of Epidemiological Data
Description: Tools for the analysis of epidemiological and surveillance data. Contains functions for directly and indirectly adjusting measures of disease frequency, quantifying measures of association on the basis of single or multiple strata of count data presented in a contingency table, computation of confidence intervals around incidence risk and incidence rate estimates and sample size calculations for cross-sectional, case-control and cohort studies. Surveillance tools include functions to calculate an appropriate sample size for 1- and 2-stage representative freedom surveys, functions to estimate surveillance system sensitivity and functions to support scenario tree modelling analyses.
Author: Mark Stevenson [aut, cre] , Evan Sergeant [aut], Cord Heuer [ctb], Telmo Nunes [ctb], Cord Heuer [ctb], Jonathon Marshall [ctb], Javier Sanchez [ctb], Ron Thornton [ctb], Jeno Reiczigel [ctb], Jim Robison-Cox [ctb], Paola Sebastiani [ctb], Peter Soly [...truncated...]
Maintainer: Mark Stevenson <mark.stevenson1@unimelb.edu.au>

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Package EFAfactors updated to version 1.1.1 with previous version 1.1.0 dated 2024-09-29

Title: Determining the Number of Factors in Exploratory Factor Analysis
Description: Provides a collection of standard factor retention methods in Exploratory Factor Analysis (EFA), making it easier to determine the number of factors. Traditional methods such as the scree plot by Cattell (1966) <doi:10.1207/s15327906mbr0102_10>, Kaiser-Guttman Criterion (KGC) by Guttman (1954) <doi:10.1007/BF02289162> and Kaiser (1960) <doi:10.1177/001316446002000116>, and flexible Parallel Analysis (PA) by Horn (1965) <doi:10.1007/BF02289447> based on eigenvalues form PCA or EFA are readily available. This package also implements several newer methods, such as the Empirical Kaiser Criterion (EKC) by Braeken and van Assen (2017) <doi:10.1037/met0000074>, Comparison Data (CD) by Ruscio and Roche (2012) <doi:10.1037/a0025697>, and Hull method by Lorenzo-Seva et al. (2011) <doi:10.1080/00273171.2011.564527>, as well as some AI-based methods like Comparison Data Forest (CDF) by Goretzko and Ruscio (2024) <doi:10.3758/s13428-023-02122-4> and F [...truncated...]
Author: Haijiang Qin [aut, cre, cph], Lei Guo [aut, cph]
Maintainer: Haijiang Qin <haijiang133@outlook.com>

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Package cmstatr updated to version 0.10.0 with previous version 0.9.3 dated 2024-03-14

Title: Statistical Methods for Composite Material Data
Description: An implementation of the statistical methods commonly used for advanced composite materials in aerospace applications. This package focuses on calculating basis values (lower tolerance bounds) for material strength properties, as well as performing the associated diagnostic tests. This package provides functions for calculating basis values assuming several different distributions, as well as providing functions for non-parametric methods of computing basis values. Functions are also provided for testing the hypothesis that there is no difference between strength and modulus data from an alternate sample and that from a "qualification" or "baseline" sample. For a discussion of these statistical methods and their use, see the Composite Materials Handbook, Volume 1 (2012, ISBN: 978-0-7680-7811-4). Additional details about this package are available in the paper by Kloppenborg (2020, <doi:10.21105/joss.02265>).
Author: Stefan Kloppenborg [aut, cre] , Billy Cheng [ctb], Ally Fraser [ctb], Jeffrey Borlik [ctb], Brice Langston [ctb], Comtek Advanced Structures, Ltd. [fnd]
Maintainer: Stefan Kloppenborg <stefan@kloppenborg.ca>

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Package assertions updated to version 0.2.0 with previous version 0.1.0 dated 2023-06-02

Title: Simple Assertions for Beautiful and Customisable Error Messages
Description: Provides simple assertions with sensible defaults and customisable error messages. It offers convenient assertion call wrappers and a general assert function that can handle any condition. Default error messages are user friendly and easily customized with inline code evaluation and styling powered by the 'cli' package.
Author: Sam El-Kamand [aut, cre, cph]
Maintainer: Sam El-Kamand <sam.elkamand@gmail.com>

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Package rsconnect updated to version 1.3.3 with previous version 1.3.2 dated 2024-10-28

Title: Deploy Docs, Apps, and APIs to 'Posit Connect', 'shinyapps.io', and 'RPubs'
Description: Programmatic deployment interface for 'RPubs', 'shinyapps.io', and 'Posit Connect'. Supported content types include R Markdown documents, Shiny applications, Plumber APIs, plots, and static web content.
Author: Aron Atkins [aut, cre], Toph Allen [aut], Hadley Wickham [aut], Jonathan McPherson [aut], JJ Allaire [aut], Posit Software, PBC [cph, fnd]
Maintainer: Aron Atkins <aron@posit.co>

Diff between rsconnect versions 1.3.2 dated 2024-10-28 and 1.3.3 dated 2024-11-19

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Package forestplot updated to version 3.1.6 with previous version 3.1.5 dated 2024-10-11

Title: Advanced Forest Plot Using 'grid' Graphics
Description: Allows the creation of forest plots with advanced features, such as multiple confidence intervals per row, customizable fonts for individual text elements, and flexible confidence interval drawing. It also supports mixing text with mathematical expressions. The package extends the application of forest plots beyond traditional meta-analyses, offering a more general version of the original 'rmeta' package’s forestplot() function. It relies heavily on the 'grid' package for rendering the plots.
Author: Max Gordon [aut, cre], Thomas Lumley [aut, ctb]
Maintainer: Max Gordon <max@gforge.se>

Diff between forestplot versions 3.1.5 dated 2024-10-11 and 3.1.6 dated 2024-11-19

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Package findpython updated to version 1.0.9 with previous version 1.0.8 dated 2023-03-14

Title: Functions to Find an Acceptable Python Binary
Description: Package designed to find an acceptable python binary.
Author: Trevor L. Davis [aut, cre] , Paul Gilbert [aut]
Maintainer: Trevor L. Davis <trevor.l.davis@gmail.com>

Diff between findpython versions 1.0.8 dated 2023-03-14 and 1.0.9 dated 2024-11-19

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Mon, 18 Nov 2024

Package galah updated to version 2.1.0 with previous version 2.0.2 dated 2024-04-12

Title: Biodiversity Data from the GBIF Node Network
Description: The Global Biodiversity Information Facility ('GBIF', <https://www.gbif.org>) sources data from an international network of data providers, known as 'nodes'. Several of these nodes - the "living atlases" (<https://living-atlases.gbif.org>) - maintain their own web services using software originally developed by the Atlas of Living Australia ('ALA', <https://www.ala.org.au>). 'galah' enables the R community to directly access data and resources hosted by 'GBIF' and its partner nodes.
Author: Martin Westgate [aut, cre], Dax Kellie [aut], Matilda Stevenson [aut], Peggy Newman [aut]
Maintainer: Martin Westgate <martin.westgate@csiro.au>

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Package spotoroo updated to version 0.1.5 with previous version 0.1.4 dated 2023-08-21

Title: Spatiotemporal Clustering of Satellite Hot Spot Data
Description: An algorithm to cluster satellite hot spot data spatially and temporally.
Author: Weihao Li [aut, cre] , Di Cook [ctb] , Emily Dodwell [ctb]
Maintainer: Weihao Li <llreczx@gmail.com>

Diff between spotoroo versions 0.1.4 dated 2023-08-21 and 0.1.5 dated 2024-11-18

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Package sleeperapi updated to version 1.1.2 with previous version 1.1.1 dated 2024-06-01

Title: Wrapper Functions Around 'Sleeper' (Fantasy Sports) API
Description: For those wishing to interact with the 'Sleeper' (Fantasy Sports) API (<https://docs.sleeper.com/>) without looking too much into its documentation (found at <https://docs.sleeper.com/>), this package offers wrapper functions around the available API calls to make it easier.
Author: Nick Bultman [aut, cre, cph]
Maintainer: Nick Bultman <njbultman74@gmail.com>

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Package LongDat updated to version 1.1.3 with previous version 1.1.2 dated 2023-07-17

Title: A Tool for 'Covariate'-Sensitive Longitudinal Analysis on 'omics' Data
Description: This tool takes longitudinal dataset as input and analyzes if there is significant change of the features over time (a proxy for treatments), while detects and controls for 'covariates' simultaneously. 'LongDat' is able to take in several data types as input, including count, proportion, binary, ordinal and continuous data. The output table contains p values, effect sizes and 'covariates' of each feature, making the downstream analysis easy.
Author: Chia-Yu Chen [aut, cre] , Sofia Forslund [ctb]
Maintainer: Chia-Yu Chen <Chia-Yu.Chen@mdc-berlin.de>

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Package hdbcp updated to version 1.0.0 with previous version 0.1.0 dated 2024-11-05

Title: Bayesian Change Point Detection for High-Dimensional Data
Description: Functions implementing change point detection methods using the maximum pairwise Bayes factor approach. Additionally, the package includes tools for generating simulated datasets for comparing and evaluating change point detection techniques.
Author: JaeHoon Kim [aut, cre], KyoungJae Lee [aut, ths]
Maintainer: JaeHoon Kim <jhkimstat@gmail.com>

Diff between hdbcp versions 0.1.0 dated 2024-11-05 and 1.0.0 dated 2024-11-18

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Package tidyplate updated to version 2.1.0 with previous version 2.0.1 dated 2024-10-08

Title: Transform Microplate Data into Tibbles
Description: The goal of 'tidyplate' is to help researchers convert different types of microplates into tibbles which can be used in data analysis. It accepts xlsx and csv files formatted in a specific way as input. It supports all types of standard microplate formats such as 6-well, 12-well, 24-well, 48-well, 96-well, 384-well, and, 1536-well plates.
Author: Shubham Dutta [aut, cre, cph]
Maintainer: Shubham Dutta <shubhamdutta26@gmail.com>

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More information about tidyplate at CRAN
Permanent link

Package RadEro updated to version 1.0.5 with previous version 1.0.4 dated 2024-11-11

Title: Cs-137 Conversion Model
Description: A straightforward model to estimate soil migration rates across various soil contexts. Based on the compartmental, vertically-resolved, physically-based mass balance model of Soto and Navas (2004) <doi:10.1016/j.jaridenv.2004.02.003> and Soto and Navas (2008) <doi:10.1016/j.radmeas.2008.02.024>. 'RadEro' provides a user-friendly interface in R, utilizing input data such as 137Cs inventories and parameters directly derived from soil samples (e.g., fine fraction density, effective volume) to accurately capture the 137Cs distribution within the soil profile. The model simulates annual 137Cs fallout, radioactive decay, and vertical diffusion, with the diffusion coefficient calculated from 137Cs reference inventory profiles. Additionally, it allows users to input custom parameters as calibration coefficients. The RadEro user manual and protocol, including detailed instructions on how to format input data and configuration files, can be found at the following link: <https://gi [...truncated...]
Author: Arturo Catala [aut, cre], Borja Latorre [aut, ctb, cph], Leticia Gaspar [aut], Ana Navas [aut], Dave Gamble [ctb]
Maintainer: Arturo Catala <radero@eead.csic.es>

Diff between RadEro versions 1.0.4 dated 2024-11-11 and 1.0.5 dated 2024-11-18

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Permanent link

Package distfreereg updated to version 1.0.1 with previous version 1.0 dated 2024-11-11

Title: Distribution-Free Goodness-of-Fit Testing for Regression
Description: Implements distribution-free goodness-of-fit regression testing for the mean structure of parametric models introduced in Khmaladze (2021) <doi:10.1007/s10463-021-00786-3>.
Author: Jesse Miller [aut, cre]
Maintainer: Jesse Miller <mill9116@umn.edu>

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Package COR updated to version 0.1.0 with previous version 0.0.1 dated 2021-12-06

Title: The COR for Optimal Subset Selection in Distributed Estimation
Description: An algorithm of optimal subset selection, related to Covariance matrices, Observation matrices and Response vectors (COR) to select the optimal subsets in distributed estimation. The philosophy of the package is described in Guo G. (2020) <doi:10.1080/02331888.2020.1823979>.
Author: Guangbao Guo [aut, cre] , Haoyue Song [aut], Lixing Zhu [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>

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Package APackOfTheClones updated to version 1.2.4 with previous version 1.2.1 dated 2024-10-10

Title: Visualization of Clonal Expansion for Single Cell Immune Profiles
Description: Visualize clonal expansion via circle-packing. 'APackOfTheClones' extends 'scRepertoire' to produce a publication-ready visualization of clonal expansion at a single cell resolution, by representing expanded clones as differently sized circles. The method was originally implemented by Murray Christian and Ben Murrell in the following immunology study: Ma et al. (2021) <doi:10.1126/sciimmunol.abg6356>.
Author: Qile Yang [cre, aut, cph]
Maintainer: Qile Yang <qile.yang@berkeley.edu>

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Package DRIP updated to version 2.2 with previous version 2.0 dated 2024-05-12

Title: Discontinuous Regression and Image Processing
Description: A collection of functions that perform jump regression and image analysis such as denoising, deblurring and jump detection. The implemented methods are based on the following research: Qiu, P. (1998) <doi:10.1214/aos/1024691468>, Qiu, P. and Yandell, B. (1997) <doi: 10.1080/10618600.1997.10474746>, Qiu, P. (2009) <doi: 10.1007/s10463-007-0166-9>, Kang, Y. and Qiu, P. (2014) <doi: 10.1080/00401706.2013.844732>, Qiu, P. and Kang, Y. (2015) <doi: 10.5705/ss.2014.054>, Kang, Y., Mukherjee, P.S. and Qiu, P. (2018) <doi: 10.1080/00401706.2017.1415975>, Kang, Y. (2020) <doi: 10.1080/10618600.2019.1665536>.
Author: Yicheng Kang [aut, cre], Peihua Qiu [aut, ctb]
Maintainer: Yicheng Kang <kangyicheng0527@gmail.com>

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Package bWGR updated to version 2.2.12 with previous version 2.2.11 dated 2024-10-30

Title: Bayesian Whole-Genome Regression
Description: Whole-genome regression methods on Bayesian framework fitted via EM or Gibbs sampling, single step (<doi:10.1534/g3.119.400728>), univariate and multivariate (<doi:10.1186/s12711-022-00730-w>, <doi:10.1093/genetics/iyae179>), with optional kernel term and sampling techniques (<doi:10.1186/s12859-017-1582-3>).
Author: Alencar Xavier [aut, cre] , William Muir [aut], David Habier [aut], Kyle Kocak [aut], Shizhong Xu [aut], Katy Rainey [aut]
Maintainer: Alencar Xavier <alenxav@gmail.com>

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Package gerefer updated to version 0.1.1 with previous version 0.1.0 dated 2024-10-10

Title: Preparer of Main Scientific References for Automatic Insertion in Academic Papers
Description: Generates a file, containing the main scientific references, prepared to be automatically inserted into an academic paper. The articles present in the list are chosen from the main references generated, by function principal_lister(), of the package 'bibliorefer'. The generated file contains the list of metadata of the principal references in 'BibTex' format. Massimo Aria, Corrado Cuccurullo. (2017) <doi:10.1016/j.joi.2017.08.007>. Caibo Zhou, Wenyan Song. (2021) <doi:10.1016/j.jclepro.2021.126943>. Hamid Derviş. (2019) <doi:10.5530/jscires.8.3.32>.
Author: Marcio Eustaquio [cre], Marcio Eustaquio [aut]
Maintainer: Marcio Eustaquio <marcioeustaquio@id.uff.br>

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Package simtrial updated to version 0.4.2 with previous version 0.4.1 dated 2024-05-03

Title: Clinical Trial Simulation
Description: Provides some basic routines for simulating a clinical trial. The primary intent is to provide some tools to generate trial simulations for trials with time to event outcomes. Piecewise exponential failure rates and piecewise constant enrollment rates are the underlying mechanism used to simulate a broad range of scenarios such as those presented in Lin et al. (2020) <doi:10.1080/19466315.2019.1697738>. However, the basic generation of data is done using pipes to allow maximum flexibility for users to meet different needs.
Author: Keaven Anderson [aut], Yujie Zhao [ctb, cre], John Blischak [ctb], Nan Xiao [ctb], Yilong Zhang [aut], Jianxiao Yang [ctb], Lili Ling [ctb], Xintong Li [ctb], Ruixue Wang [ctb], Yi Cui [ctb], Ping Yang [ctb], Yalin Zhu [ctb], Heng Zhou [ctb], Amin Sh [...truncated...]
Maintainer: Yujie Zhao <yujie.zhao@merck.com>

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Package mlt updated to version 1.6-1 with previous version 1.6-0 dated 2024-09-23

Title: Most Likely Transformations
Description: Likelihood-based estimation of conditional transformation models via the most likely transformation approach described in Hothorn et al. (2018) <DOI:10.1111/sjos.12291> and Hothorn (2020) <DOI:10.18637/jss.v092.i01>. Shift-scale (Siegfried et al, 2023, <DOI:10.1080/00031305.2023.2203177>) and multivariate (Klein et al, 2022, <DOI:10.1111/sjos.12501>) transformation models are part of this package. A package vignette is available from <DOI:10.32614/CRAN.package.mlt.docreg> and more convenient user interfaces to many models from <DOI:10.32614/CRAN.package.tram>.
Author: Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between mlt versions 1.6-0 dated 2024-09-23 and 1.6-1 dated 2024-11-18

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Package lori updated to version 2.2.3 with previous version 2.2.2 dated 2020-12-16

Title: Imputation of High-Dimensional Count Data using Side Information
Description: Analysis, imputation, and multiple imputation of count data using covariates. LORI uses a log-linear Poisson model where main row and column effects, as well as effects of known covariates and interaction terms can be fitted. The estimation procedure is based on the convex optimization of the Poisson loss penalized by a Lasso type penalty and a nuclear norm. LORI returns estimates of main effects, covariate effects and interactions, as well as an imputed count table. The package also contains a multiple imputation procedure. The methods are described in Robin, Josse, Moulines and Sardy (2019) <doi:10.1016/j.jmva.2019.04.004>.
Author: Genevieve Robin [aut, cre]
Maintainer: Genevieve Robin <genevieve.robin@cnrs.fr>

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Package jagstargets updated to version 1.2.2 with previous version 1.2.1 dated 2024-09-06

Title: Targets for JAGS Pipelines
Description: Bayesian data analysis usually incurs long runtimes and cumbersome custom code. A pipeline toolkit tailored to Bayesian statisticians, the 'jagstargets' R package is leverages 'targets' and 'R2jags' to ease this burden. 'jagstargets' makes it super easy to set up scalable JAGS pipelines that automatically parallelize the computation and skip expensive steps when the results are already up to date. Minimal custom code is required, and there is no need to manually configure branching, so usage is much easier than 'targets' alone. For the underlying methodology, please refer to the documentation of 'targets' <doi:10.21105/joss.02959> and 'JAGS' (Plummer 2003) <https://www.r-project.org/conferences/DSC-2003/Proceedings/Plummer.pdf>.
Author: William Michael Landau [aut, cre] , David Lawrence Miller [rev], Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>

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Package graphlayouts updated to version 1.2.1 with previous version 1.2.0 dated 2024-09-24

Title: Additional Layout Algorithms for Network Visualizations
Description: Several new layout algorithms to visualize networks are provided which are not part of 'igraph'. Most are based on the concept of stress majorization by Gansner et al. (2004) <doi:10.1007/978-3-540-31843-9_25>. Some more specific algorithms allow the user to emphasize hidden group structures in networks or focus on specific nodes.
Author: David Schoch [aut, cre]
Maintainer: David Schoch <david@schochastics.net>

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Package BalancedSampling updated to version 2.1.1 with previous version 2.0.6 dated 2024-03-01

Title: Balanced and Spatially Balanced Sampling
Description: Select balanced and spatially balanced probability samples in multi-dimensional spaces with any prescribed inclusion probabilities. It contains fast (C++ via Rcpp) implementations of the included sampling methods. The local pivotal method by Grafström, Lundström and Schelin (2012) <doi:10.1111/j.1541-0420.2011.01699.x> and spatially correlated Poisson sampling by Grafström (2012) <doi:10.1016/j.jspi.2011.07.003> are included. Also the cube method (for balanced sampling) and the local cube method (for doubly balanced sampling) are included, see Grafström and Tillé (2013) <doi:10.1002/env.2194>.
Author: Anton Grafstroem [aut, cre] , Wilmer Prentius [aut] , Jonathan Lisic [ctb]
Maintainer: Anton Grafstroem <anton.grafstrom@gmail.com>

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Package Jaya updated to version 1.0.3 with previous version 0.1.9 dated 2019-11-12

Title: Gradient-Free Optimization Algorithm for Single and Multi-Objective Problems
Description: An implementation of the Jaya optimization algorithm for both single-objective and multi-objective problems. Jaya is a population-based, gradient-free optimization algorithm capable of solving constrained and unconstrained optimization problems without hyperparameters. This package includes features such as multi-objective Pareto optimization, adaptive population adjustment, and early stopping. For further details, see R.V. Rao (2016) <doi:10.5267/j.ijiec.2015.8.004>.
Author: Neeraj Bokde [aut, cre]
Maintainer: Neeraj Bokde <neerajdhanraj@gmail.com>

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Package enderecobr updated to version 0.2.1 with previous version 0.2.0 dated 2024-10-28

Title: Padronizador de Endereços Brasileiros (Brazilian Addresses Standardizer)
Description: Padroniza endereços brasileiros a partir de diferentes critérios. Os métodos de padronização incluem apenas manipulações básicas de strings, não oferecendo suporte a correspondências probabilísticas entre strings. (Standardizes brazilian addresses using different criteria. Standardization methods include only basic string manipulation, not supporting probabilistic matches between strings.)
Author: Daniel Herszenhut [aut, cre] , Rafael H. M. Pereira [aut] , Lucas Mation [aut]
Maintainer: Daniel Herszenhut <dhersz@gmail.com>

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Package wrProteo updated to version 1.13.0 with previous version 1.12.0 dated 2024-07-26

Title: Proteomics Data Analysis Functions
Description: Data analysis of proteomics experiments by mass spectrometry is supported by this collection of functions mostly dedicated to the analysis of (bottom-up) quantitative (XIC) data. Fasta-formatted proteomes (eg from UniProt Consortium <doi:10.1093/nar/gky1049>) can be read with automatic parsing and multiple annotation types (like species origin, abbreviated gene names, etc) extracted. Initial results from multiple software for protein (and peptide) quantitation can be imported (to a common format): MaxQuant (Tyanova et al 2016 <doi:10.1038/nprot.2016.136>), Dia-NN (Demichev et al 2020 <doi:10.1038/s41592-019-0638-x>), Fragpipe (da Veiga et al 2020 <doi:10.1038/s41592-020-0912-y>), ionbot (Degroeve et al 2021 <doi:10.1101/2021.07.02.450686>), MassChroq (Valot et al 2011 <doi:10.1002/pmic.201100120>), OpenMS (Strauss et al 2021 <doi:10.1038/nmeth.3959>), ProteomeDiscoverer (Orsburn 2021 <doi:10.3390/proteomes9010015>), Proline (Bouyssie et a [...truncated...]
Author: Wolfgang Raffelsberger [aut, cre]
Maintainer: Wolfgang Raffelsberger <w.raffelsberger@gmail.com>

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Package tinytable updated to version 0.6.1 with previous version 0.5.0 dated 2024-10-05

Title: Simple and Configurable Tables in 'HTML', 'LaTeX', 'Markdown', 'Word', 'PNG', 'PDF', and 'Typst' Formats
Description: Create highly customized tables with this simple and dependency-free package. Data frames can be converted to 'HTML', 'LaTeX', 'Markdown', 'Word', 'PNG', 'PDF', or 'Typst' tables. The user interface is minimalist and easy to learn. The syntax is concise. 'HTML' tables can be customized using the flexible 'Bootstrap' framework, and 'LaTeX' code with the 'tabularray' package.
Author: Vincent Arel-Bundock [aut, cre]
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>

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More information about tinytable at CRAN
Permanent link

Package pkgdepR updated to version 1.1.0 with previous version 1.0.0 dated 2022-02-16

Title: Statically Determine Function Dependencies Between Packages
Description: Statically determine and visualize the function dependencies within and across packages. This may be useful for managing function dependencies across a code base of multiple R packages.
Author: Ed Peyton [aut, cre]
Maintainer: Ed Peyton <edppeyton@gmail.com>

Diff between pkgdepR versions 1.0.0 dated 2022-02-16 and 1.1.0 dated 2024-11-18

 DESCRIPTION              |   10 +++----
 LICENSE                  |    4 +-
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 NEWS.md                  |    6 +++-
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 man/summary.pkgdepR.Rd   |   38 +++++++++++++--------------
 20 files changed, 303 insertions(+), 264 deletions(-)

More information about pkgdepR at CRAN
Permanent link

Package Luminescence updated to version 0.9.26 with previous version 0.9.25 dated 2024-09-12

Title: Comprehensive Luminescence Dating Data Analysis
Description: A collection of various R functions for the purpose of Luminescence dating data analysis. This includes, amongst others, data import, export, application of age models, curve deconvolution, sequence analysis and plotting of equivalent dose distributions.
Author: Sebastian Kreutzer [aut, trl, cre, dtc] , Christoph Burow [aut, trl, dtc] , Michael Dietze [aut] , Margret C. Fuchs [aut] , Christoph Schmidt [aut] , Manfred Fischer [aut, trl], Johannes Friedrich [aut] , Norbert Mercier [aut] , Rachel K. Smedley [ct [...truncated...]
Maintainer: Sebastian Kreutzer <maintainer_luminescence@r-luminescence.org>

Diff between Luminescence versions 0.9.25 dated 2024-09-12 and 0.9.26 dated 2024-11-18

 Luminescence-0.9.25/Luminescence/man/calc_Kars2008.Rd                        |only
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Package atime updated to version 2024.11.15 with previous version 2024.10.5 dated 2024-10-11

Title: Asymptotic Timing
Description: Computing and visualizing comparative asymptotic timings of different algorithms and code versions. Also includes functionality for comparing empirical timings with expected references such as linear or quadratic, <https://en.wikipedia.org/wiki/Asymptotic_computational_complexity> Also includes functionality for measuring asymptotic memory and other quantities.
Author: Toby Hocking [aut, cre]
Maintainer: Toby Hocking <toby.hocking@r-project.org>

Diff between atime versions 2024.10.5 dated 2024-10-11 and 2024.11.15 dated 2024-11-18

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More information about atime at CRAN
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Package tm updated to version 0.7-15 with previous version 0.7-14 dated 2024-08-13

Title: Text Mining Package
Description: A framework for text mining applications within R.
Author: Ingo Feinerer [aut] , Kurt Hornik [aut, cre] , Artifex Software, Inc. [ctb, cph]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

Diff between tm versions 0.7-14 dated 2024-08-13 and 0.7-15 dated 2024-11-18

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Package saeMSPE updated to version 1.3 with previous version 1.2 dated 2022-10-21

Title: Computing MSPE Estimates in Small Area Estimation
Description: Compute various common mean squared predictive error (MSPE) estimators, as well as several existing variance component predictors as a byproduct, for FH model (Fay and Herriot, 1979) and NER model (Battese et al., 1988) in small area estimation.
Author: Peiwen Xiao [aut, cre], Xiaohui Liu [aut], Yu Zhang [aut], Yuzi Liu [aut], Jiming Jiang [ths]
Maintainer: Peiwen Xiao <2569613200@qq.com>

Diff between saeMSPE versions 1.2 dated 2022-10-21 and 1.3 dated 2024-11-18

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Package osmapiR updated to version 0.2.2 with previous version 0.2.1 dated 2024-09-05

Title: 'OpenStreetMap' API
Description: Interface to 'OpenStreetMap API' for fetching and saving data from/to the 'OpenStreetMap' database (<https://wiki.openstreetmap.org/wiki/API_v0.6>).
Author: Joan Maspons [aut, cre, cph] , Jon Harmon [rev] , Carlos Camara [rev]
Maintainer: Joan Maspons <joanmaspons@gmail.com>

Diff between osmapiR versions 0.2.1 dated 2024-09-05 and 0.2.2 dated 2024-11-18

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 osmapiR-0.2.2/osmapiR/DESCRIPTION                                                                |   10 
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 osmapiR-0.2.2/osmapiR/R/osm_get_gpx_metadata.R                                                   |   16 
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 osmapiR-0.2.2/osmapiR/R/osm_get_points_gps.R                                                     |   26 
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 osmapiR-0.2.2/osmapiR/R/osm_query_changesets.R                                                   |   98 +--
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 osmapiR-0.2.2/osmapiR/R/osmapi_map_notes.R                                                       |   84 +-
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 osmapiR-0.2.2/osmapiR/R/osmapi_user_data.R                                                       |  250 ++++----
 osmapiR-0.2.2/osmapiR/inst/CITATION                                                              |    7 
 osmapiR-0.2.2/osmapiR/inst/WORDLIST                                                              |    6 
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 osmapiR-0.2.2/osmapiR/inst/doc/how_to_edit_osm.html                                              |    4 
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 osmapiR-0.2.2/osmapiR/man/osm_get_changesets.Rd                                                  |   88 +-
 osmapiR-0.2.2/osmapiR/man/osm_get_gpx_metadata.Rd                                                |   16 
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 osmapiR-0.2.2/osmapiR/man/osm_get_points_gps.Rd                                                  |   26 
 osmapiR-0.2.2/osmapiR/man/osm_get_user_details.Rd                                                |   46 -
 osmapiR-0.2.2/osmapiR/man/osm_history_object.Rd                                                  |    2 
 osmapiR-0.2.2/osmapiR/man/osm_list_gpxs.Rd                                                       |   20 
 osmapiR-0.2.2/osmapiR/man/osm_permissions.Rd                                                     |    1 
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 osmapiR-0.2.2/osmapiR/tests/testthat/test-tags_list-wide.R                                       |    8 
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More information about osmapiR at CRAN
Permanent link

Package spatstat.geom updated to version 3.3-4 with previous version 3.3-3 dated 2024-09-18

Title: Geometrical Functionality of the 'spatstat' Family
Description: Defines spatial data types and supports geometrical operations on them. Data types include point patterns, windows (domains), pixel images, line segment patterns, tessellations and hyperframes. Capabilities include creation and manipulation of data (using command line or graphical interaction), plotting, geometrical operations (rotation, shift, rescale, affine transformation), convex hull, discretisation and pixellation, Dirichlet tessellation, Delaunay triangulation, pairwise distances, nearest-neighbour distances, distance transform, morphological operations (erosion, dilation, closing, opening), quadrat counting, geometrical measurement, geometrical covariance, colour maps, calculus on spatial domains, Gaussian blur, level sets of images, transects of images, intersections between objects, minimum distance matching. (Excludes spatial data on a network, which are supported by the package 'spatstat.linnet'.)
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Tilman Davies [ctb], Ute Hahn [ctb], Abdollah Jalilian [ctb], Greg McSwiggan [ctb, cph], Sebastian Meyer [ctb, cph], Jens Oehlschlaegel [ctb, cph], Suman Rakshit [ctb], [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

Diff between spatstat.geom versions 3.3-3 dated 2024-09-18 and 3.3-4 dated 2024-11-18

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 18 files changed, 352 insertions(+), 96 deletions(-)

More information about spatstat.geom at CRAN
Permanent link

Package Rmpfr updated to version 1.0-0 with previous version 0.9-5 dated 2024-01-21

Title: Interface R to MPFR - Multiple Precision Floating-Point Reliable
Description: Arithmetic (via S4 classes and methods) for arbitrary precision floating point numbers, including transcendental ("special") functions. To this end, the package interfaces to the 'LGPL' licensed 'MPFR' (Multiple Precision Floating-Point Reliable) Library which itself is based on the 'GMP' (GNU Multiple Precision) Library.
Author: Martin Maechler [aut, cre] , Richard M. Heiberger [ctb] , *Bin, *Dec), John C. Nash [ctb] , origin of unirootR), Hans W. Borchers [ctb] ; origin of hjkMpfr), Mikael Jagan [ctb]
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

Diff between Rmpfr versions 0.9-5 dated 2024-01-21 and 1.0-0 dated 2024-11-18

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More information about Rmpfr at CRAN
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Package RMariaDB updated to version 1.3.3 with previous version 1.3.2 dated 2024-05-27

Title: Database Interface and MariaDB Driver
Description: Implements a DBI-compliant interface to MariaDB (<https://mariadb.org/>) and MySQL (<https://www.mysql.com/>) databases.
Author: Kirill Mueller [aut, cre] , Jeroen Ooms [aut] , David James [aut], Saikat DebRoy [aut], Hadley Wickham [aut], Jeffrey Horner [aut], R Consortium [fnd], RStudio [cph]
Maintainer: Kirill Mueller <kirill@cynkra.com>

Diff between RMariaDB versions 1.3.2 dated 2024-05-27 and 1.3.3 dated 2024-11-18

 DESCRIPTION                                                  |    8 ++---
 MD5                                                          |   17 +++++------
 NEWS.md                                                      |   11 +++++++
 R/dbQuoteIdentifier_MariaDBConnection_Id.R                   |    7 +++-
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 man/mariadb-tables.Rd                                        |    2 -
 man/query.Rd                                                 |   10 +++---
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 10 files changed, 50 insertions(+), 22 deletions(-)

More information about RMariaDB at CRAN
Permanent link

Package RcppArmadillo updated to version 14.2.0-1 with previous version 14.0.2-1 dated 2024-09-12

Title: 'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra Library
Description: 'Armadillo' is a templated C++ linear algebra library (by Conrad Sanderson) that aims towards a good balance between speed and ease of use. Integer, floating point and complex numbers are supported, as well as a subset of trigonometric and statistics functions. Various matrix decompositions are provided through optional integration with LAPACK and ATLAS libraries. The 'RcppArmadillo' package includes the header files from the templated 'Armadillo' library. Thus users do not need to install 'Armadillo' itself in order to use 'RcppArmadillo'. From release 7.800.0 on, 'Armadillo' is licensed under Apache License 2; previous releases were under licensed as MPL 2.0 from version 3.800.0 onwards and LGPL-3 prior to that; 'RcppArmadillo' (the 'Rcpp' bindings/bridge to Armadillo) is licensed under the GNU GPL version 2 or later, as is the rest of 'Rcpp'.
Author: Dirk Eddelbuettel [aut, cre] , Romain Francois [aut] , Doug Bates [aut] , Binxiang Ni [aut], Conrad Sanderson [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppArmadillo versions 14.0.2-1 dated 2024-09-12 and 14.2.0-1 dated 2024-11-18

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More information about RcppArmadillo at CRAN
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Package spheredata updated to version 0.1.2 with previous version 0.1.1 dated 2024-10-12

Title: Students' Performance Dataset in Physics Education Research (SPHERE)
Description: A multidimensional dataset of students' performance assessment in high school physics. The SPHERE dataset was collected from 497 students in four public high schools specifically measuring their conceptual understanding, scientific ability, and attitude toward physics [see Santoso et al. (2024) <doi:10.17632/88d7m2fv7p.1>]. The data collection was conducted using some research based assessments established by the physics education research community. They include the Force Concept Inventory, the Force and Motion Conceptual Evaluation, the Rotational and Rolling Motion Conceptual Survey, the Fluid Mechanics Concept Inventory, the Mechanical Waves Conceptual Survey, the Thermal Concept Evaluation, the Survey of Thermodynamic Processes and First and Second Laws, the Scientific Abilities Assessment Rubrics, and the Colorado Learning Attitudes about Science Survey. Students' attributes related to gender, age, socioeconomic status, domicile, literacy, physics identity, and test results [...truncated...]
Author: Purwoko Haryadi Santoso [aut, cre] , Edi Istiyono [ctb], Haryanto Haryanto [ctb]
Maintainer: Purwoko Haryadi Santoso <purwokoharyadisantoso@unsulbar.ac.id>

Diff between spheredata versions 0.1.1 dated 2024-10-12 and 0.1.2 dated 2024-11-18

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Sun, 17 Nov 2024

Package saens updated to version 0.1.2 with previous version 0.1.1 dated 2024-10-24

Title: Small Area Estimation with Cluster Information for Estimation of Non-Sampled Areas
Description: Implementation of small area estimation (Fay-Herriot model) with EBLUP (Empirical Best Linear Unbiased Prediction) Approach for non-sampled area estimation by adding cluster information and assuming that there are similarities among particular areas. See also Rao & Molina (2015, ISBN:978-1-118-73578-7) and Anisa et al. (2013) <doi:10.9790/5728-10121519>.
Author: Ridson Al Farizal P [aut, cre, cph] , Azka Ubaidillah [aut]
Maintainer: Ridson Al Farizal P <alfrzlp@gmail.com>

Diff between saens versions 0.1.1 dated 2024-10-24 and 0.1.2 dated 2024-11-17

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Package hydraulics updated to version 0.7.1 with previous version 0.7.0 dated 2024-03-06

Title: Basic Pipe and Open Channel Hydraulics
Description: Functions for basic hydraulic calculations related to water flow in circular pipes both flowing full (under pressure), and partially full (gravity flow), and trapezoidal open channels. For pressure flow this includes friction loss calculations by solving the Darcy-Weisbach equation for head loss, flow or diameter, plotting a Moody diagram, matching a pump characteristic curve to a system curve, and solving for flows in a pipe network using the Hardy-Cross method. The Darcy-Weisbach friction factor is calculated using the Colebrook (or Colebrook-White equation), the basis of the Moody diagram, the original citation being Colebrook (1939) <doi:10.1680/ijoti.1939.13150>. For gravity flow, the Manning equation is used, again solving for missing parameters. The derivation of and solutions using the Darcy-Weisbach equation and the Manning equation are outlined in many fluid mechanics texts such as Finnemore and Maurer (2024, ISBN:978-1-264-78729-6). Some gradually- and rapidly-varied f [...truncated...]
Author: Ed Maurer [aut, cre], Irucka Embry [aut, ctb]
Maintainer: Ed Maurer <emaurer@scu.edu>

Diff between hydraulics versions 0.7.0 dated 2024-03-06 and 0.7.1 dated 2024-11-17

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Package GPvam updated to version 3.1-2 with previous version 3.1-1 dated 2024-10-15

Title: Maximum Likelihood Estimation of Multiple Membership Mixed Models Used in Value-Added Modeling
Description: An EM algorithm, Karl et al. (2013) <doi:10.1016/j.csda.2012.10.004>, is used to estimate the generalized, variable, and complete persistence models, Mariano et al. (2010) <doi:10.3102/1076998609346967>. These are multiple-membership linear mixed models with teachers modeled as "G-side" effects and students modeled with either "G-side" or "R-side" effects.
Author: Andrew Karl [cre, aut] , Yan Yang [aut], Sharon Lohr [aut]
Maintainer: Andrew Karl <akarl@asu.edu>

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Package crew.cluster updated to version 0.3.3 with previous version 0.3.2 dated 2024-07-10

Title: Crew Launcher Plugins for Traditional High-Performance Computing Clusters
Description: In computationally demanding analysis projects, statisticians and data scientists asynchronously deploy long-running tasks to distributed systems, ranging from traditional clusters to cloud services. The 'crew.cluster' package extends the 'mirai'-powered 'crew' package with worker launcher plugins for traditional high-performance computing systems. Inspiration also comes from packages 'mirai' by Gao (2023) <https://github.com/shikokuchuo/mirai>, 'future' by Bengtsson (2021) <doi:10.32614/RJ-2021-048>, 'rrq' by FitzJohn and Ashton (2023) <https://github.com/mrc-ide/rrq>, 'clustermq' by Schubert (2019) <doi:10.1093/bioinformatics/btz284>), and 'batchtools' by Lang, Bischl, and Surmann (2017). <doi:10.21105/joss.00135>.
Author: William Michael Landau [aut, cre] , Michael Gilbert Levin [aut] , Brendan Furneaux [aut] , Eli Lilly and Company [cph, fnd]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>

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More information about crew.cluster at CRAN
Permanent link

Package crew.aws.batch updated to version 0.0.7 with previous version 0.0.6 dated 2024-07-10

Title: A Crew Launcher Plugin for AWS Batch
Description: In computationally demanding analysis projects, statisticians and data scientists asynchronously deploy long-running tasks to distributed systems, ranging from traditional clusters to cloud services. The 'crew.aws.batch' package extends the 'mirai'-powered 'crew' package with a worker launcher plugin for AWS Batch. Inspiration also comes from packages 'mirai' by Gao (2023) <https://github.com/shikokuchuo/mirai>, 'future' by Bengtsson (2021) <doi:10.32614/RJ-2021-048>, 'rrq' by FitzJohn and Ashton (2023) <https://github.com/mrc-ide/rrq>, 'clustermq' by Schubert (2019) <doi:10.1093/bioinformatics/btz284>), and 'batchtools' by Lang, Bischl, and Surmann (2017). <doi:10.21105/joss.00135>.
Author: William Michael Landau [aut, cre] , Eli Lilly and Company [cph, fnd]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>

Diff between crew.aws.batch versions 0.0.6 dated 2024-07-10 and 0.0.7 dated 2024-11-17

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Package autovi updated to version 0.4.1 with previous version 0.4.0 dated 2024-06-25

Title: Auto Visual Inference with Computer Vision Models
Description: Provides automated visual inference of residual plots using computer vision models, facilitating diagnostic checks for classical normal linear regression models.
Author: Weihao Li [aut, cre, cph]
Maintainer: Weihao Li <llreczx@gmail.com>

Diff between autovi versions 0.4.0 dated 2024-06-25 and 0.4.1 dated 2024-11-17

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Package electionsBR updated to version 0.5.0 with previous version 0.4.0 dated 2024-02-05

Title: R Functions to Download and Clean Brazilian Electoral Data
Description: Offers a set of functions to easily download and clean Brazilian electoral data from the Superior Electoral Court and 'CepespData' websites. Among other features, the package retrieves data on local and federal elections for all positions (city councilor, mayor, state deputy, federal deputy, governor, and president) aggregated by state, city, and electoral zones.
Author: Denisson Silva [aut, cre], Fernando Meireles [aut], Beatriz Costa [ctb]
Maintainer: Denisson Silva <denissoncsol@gmail.com>

Diff between electionsBR versions 0.4.0 dated 2024-02-05 and 0.5.0 dated 2024-11-17

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Permanent link

Package castor updated to version 1.8.3 with previous version 1.8.2 dated 2024-06-29

Title: Efficient Phylogenetics on Large Trees
Description: Efficient phylogenetic analyses on massive phylogenies comprising up to millions of tips. Functions include pruning, rerooting, calculation of most-recent common ancestors, calculating distances from the tree root and calculating pairwise distances. Calculation of phylogenetic signal and mean trait depth (trait conservatism), ancestral state reconstruction and hidden character prediction of discrete characters, simulating and fitting models of trait evolution, fitting and simulating diversification models, dating trees, comparing trees, and reading/writing trees in Newick format. Citation: Louca, Stilianos and Doebeli, Michael (2017) <doi:10.1093/bioinformatics/btx701>.
Author: Stilianos Louca [aut, cre, cph]
Maintainer: Stilianos Louca <louca.research@gmail.com>

Diff between castor versions 1.8.2 dated 2024-06-29 and 1.8.3 dated 2024-11-17

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Package tpn updated to version 1.9 with previous version 1.8 dated 2023-12-10

Title: Truncated Positive Normal Model and Extensions
Description: Provide data generation and estimation tools for the truncated positive normal (tpn) model discussed in Gomez, Olmos, Varela and Bolfarine (2018) <doi:10.1007/s11766-018-3354-x>, the slash tpn distribution discussed in Gomez, Gallardo and Santoro (2021) <doi:10.3390/sym13112164>, the bimodal tpn distribution discussed in Gomez et al. (2022) <doi:10.3390/sym14040665> and the flexible tpn model.
Author: Diego Gallardo [aut, cre], Hector J. Gomez [aut], Yolanda M. Gomez [aut]
Maintainer: Diego Gallardo <dgallardo@ubiobio.cl>

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Package RSQLite updated to version 2.3.8 with previous version 2.3.7 dated 2024-05-27

Title: SQLite Interface for R
Description: Embeds the SQLite database engine in R and provides an interface compliant with the DBI package. The source for the SQLite engine and for various extensions in a recent version is included. System libraries will never be consulted because this package relies on static linking for the plugins it includes; this also ensures a consistent experience across all installations.
Author: Kirill Mueller [aut, cre] , Hadley Wickham [aut], David A. James [aut], Seth Falcon [aut], D. Richard Hipp [ctb] , Dan Kennedy [ctb] , Joe Mistachkin [ctb] , SQLite Authors [ctb] , Liam Healy [ctb] , R Consortium [fnd], RStudio [cph]
Maintainer: Kirill Mueller <kirill@cynkra.com>

Diff between RSQLite versions 2.3.7 dated 2024-05-27 and 2.3.8 dated 2024-11-17

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Package metaConvert updated to version 1.0.2 with previous version 1.0.1 dated 2024-10-26

Title: An Automatic Suite for Estimation of Various Effect Size Measures
Description: Automatically estimate 11 effect size measures from a well-formatted dataset. Various other functions can help, for example, removing dependency between several effect sizes, or identifying differences between two datasets. This package is mainly designed to assist in conducting a systematic review with a meta-analysis but can be useful to any researcher interested in estimating an effect size.
Author: Corentin J. Gosling [aut, cre], Samuele Cortese [aut], Marco Solmi [aut], Belen Haza [aut], Eduard Vieta [aut], Richard Delorme [aut], Paolo Fusar-Poli [aut], Joaquim Radua [aut]
Maintainer: Corentin J. Gosling <corentin.gosling@parisnanterre.fr>

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Package SensIAT updated to version 0.1.1 with previous version 0.1.0 dated 2024-11-01

Title: Sensitivity Analysis for Irregular Assessment Times
Description: Sensitivity analysis for trials with irregular and informative assessment times, based on a new influence function-based, augmented inverse intensity-weighted estimator.
Author: Andrew Redd [aut, cre] , Yujing Gao [aut], Shu Yang [aut], Bonnie Smith [aut], Agatha Mallett [ctb, ctr], Daniel Scharfstein [pdr, aut] , University of Utah [cph]
Maintainer: Andrew Redd <andrew.redd@hsc.utah.edu>

Diff between SensIAT versions 0.1.0 dated 2024-11-01 and 0.1.1 dated 2024-11-17

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Package dawaR updated to version 0.2.4 with previous version 0.2.3 dated 2024-10-31

Title: An API Wrapper for 'DAWA' - 'The Danish Address Web API'
Description: Functions for interacting with all sections of the official 'Danish Address Web API' (also known as 'DAWA') <https://api.dataforsyningen.dk>. The development of this package is completely independent from the government agency, Klimadatastyrelsen, who maintains the API.
Author: Aleksander Bang-Larsen [aut, cre, cph]
Maintainer: Aleksander Bang-Larsen <contact@aleksanderbl.dk>

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Package hgutils updated to version 0.2.13 with previous version 0.2.11 dated 2022-03-31

Title: Collection of Utility Functions
Description: A handy collection of utility functions designed to aid in package development, plotting and scientific research. Package development functionalities includes among others tools such as cross-referencing package imports with the description file, analysis of redundant package imports, editing of the description file and the creation of package badges for GitHub. Some of the other functionalities include automatic package installation and loading, plotting points without overlap, creating nice breaks for plots, overview tables and many more handy utility functions.
Author: H.G. van den Boorn [aut, cre]
Maintainer: H.G. van den Boorn <hvdboorn@gmail.com>

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Package Keng updated to version 2024.11.17 with previous version 2024.11.02 dated 2024-11-04

Title: Knock Errors Off Nice Guesses
Description: Miscellaneous functions and data used in Qingyao's psychological research and teaching. Keng currently has a built-in dataset depress, and could (1) scale a vector, (2) test the significance and compute the cut-off values of Pearson's r without raw data, (3) compare lm()'s fitted outputs using R-squared and PRE (Proportional Reduction in Error, also called partial R-squared or partial Eta-squared).
Author: Qingyao Zhang [aut, cre]
Maintainer: Qingyao Zhang <qingyaozhang@outlook.com>

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Package UKFE updated to version 0.3.8 with previous version 0.3.7 dated 2024-09-20

Title: UK Flood Estimation
Description: Functions to implement the methods of the Flood Estimation Handbook (FEH), associated updates and the revitalised flood hydrograph model (ReFH). Currently the package uses NRFA peak flow dataset version 13. Aside from FEH functionality, further hydrological functions are available. Most of the methods implemented in this package are described in one or more of the following: "Flood Estimation Handbook", Centre for Ecology & Hydrology (1999, ISBN:0 948540 94 X). "Flood Estimation Handbook Supplementary Report No. 1", Kjeldsen (2007, ISBN:0 903741 15 7). "Regional Frequency Analysis - an approach based on L-moments", Hosking & Wallis (1997, ISBN: 978 0 521 01940 8). "Proposal of the extreme rank plot for extreme value analysis: with an emphasis on flood frequency studies", Hammond (2019, <doi:10.2166/nh.2019.157>). "Making better use of local data in flood frequency estimation", Environment Agency (2017, ISBN: 978 1 84911 387 8). "Sampling uncertainty of UK design flood est [...truncated...]
Author: Anthony Hammond [aut, cre]
Maintainer: Anthony Hammond <agqhammond@gmail.com>

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Package spacesRGB updated to version 1.6-1 with previous version 1.5-0 dated 2024-01-23

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

Diff between spacesRGB versions 1.5-0 dated 2024-01-23 and 1.6-1 dated 2024-11-17

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Sat, 16 Nov 2024

Package sparsenet updated to version 1.7 with previous version 1.6 dated 2024-02-05

Title: Fit Sparse Linear Regression Models via Nonconvex Optimization
Description: Efficient procedure for fitting regularization paths between L1 and L0, using the MC+ penalty of Zhang, C.H. (2010)<doi:10.1214/09-AOS729>. Implements the methodology described in Mazumder, Friedman and Hastie (2011) <DOI: 10.1198/jasa.2011.tm09738>. Sparsenet computes the regularization surface over both the family parameter and the tuning parameter by coordinate descent.
Author: Trevor Hastie [aut, cre], Rahul Mazumder [aut], Jerome Friedman [aut]
Maintainer: Trevor Hastie <hastie@stanford.edu>

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Package Epi updated to version 2.57 with previous version 2.56 dated 2024-10-01

Title: Statistical Analysis in Epidemiology
Description: Functions for demographic and epidemiological analysis in the Lexis diagram, i.e. register and cohort follow-up data. In particular representation, manipulation, rate estimation and simulation for multistate data - the Lexis suite of functions, which includes interfaces to 'mstate', 'etm' and 'cmprsk' packages. Contains functions for Age-Period-Cohort and Lee-Carter modeling and a function for interval censored data and some useful functions for tabulation and plotting, as well as a number of epidemiological data sets.
Author: Bendix Carstensen [aut, cre], Martyn Plummer [aut], Esa Laara [ctb], Michael Hills [ctb]
Maintainer: Bendix Carstensen <b@bxc.dk>

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Package DFA.CANCOR updated to version 0.3.6 with previous version 0.2.8 dated 2023-06-29

Title: Linear Discriminant Function and Canonical Correlation Analysis
Description: Produces SPSS- and SAS-like output for linear discriminant function analysis and canonical correlation analysis. The methods are described in Manly & Alberto (2017, ISBN:9781498728966), Rencher (2002, ISBN:0-471-41889-7), and Tabachnik & Fidell (2019, ISBN:9780134790541).
Author: Brian P. O'Connor [aut, cre]
Maintainer: Brian P. O'Connor <brian.oconnor@ubc.ca>

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Package geostan updated to version 0.8.0 with previous version 0.7.0 dated 2024-09-18

Title: Bayesian Spatial Analysis
Description: For spatial data analysis; provides exploratory spatial analysis tools, spatial regression, spatial econometric, and disease mapping models, model diagnostics, and special methods for inference with small area survey data (e.g., the America Community Survey (ACS)) and censored population health monitoring data. Models are pre-specified using the Stan programming language, a platform for Bayesian inference using Markov chain Monte Carlo (MCMC). References: Carpenter et al. (2017) <doi:10.18637/jss.v076.i01>; Donegan (2021) <doi:10.31219/osf.io/3ey65>; Donegan (2022) <doi:10.21105/joss.04716>; Donegan, Chun and Hughes (2020) <doi:10.1016/j.spasta.2020.100450>; Donegan, Chun and Griffith (2021) <doi:10.3390/ijerph18136856>; Morris et al. (2019) <doi:10.1016/j.sste.2019.100301>.
Author: Connor Donegan [aut, cre] , Mitzi Morris [ctb], Amy Tims [ctb]
Maintainer: Connor Donegan <connor.donegan@gmail.com>

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Package cchs updated to version 0.4.5 with previous version 0.4.4 dated 2024-01-31

Title: Cox Model for Case-Cohort Data with Stratified Subcohort-Selection
Description: Contains a function, also called 'cchs', that calculates Estimator III of Borgan et al (2000), <DOI:10.1023/A:1009661900674>. This estimator is for fitting a Cox proportional hazards model to data from a case-cohort study where the subcohort was selected by stratified simple random sampling.
Author: E. Jones [aut, cre]
Maintainer: E. Jones <edmundjones79@gmail.com>

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Package rgl updated to version 1.3.14 with previous version 1.3.12 dated 2024-10-28

Title: 3D Visualization Using OpenGL
Description: Provides medium to high level functions for 3D interactive graphics, including functions modelled on base graphics (plot3d(), etc.) as well as functions for constructing representations of geometric objects (cube3d(), etc.). Output may be on screen using OpenGL, or to various standard 3D file formats including WebGL, PLY, OBJ, STL as well as 2D image formats, including PNG, Postscript, SVG, PGF.
Author: Duncan Murdoch [aut, cre], Daniel Adler [aut], Oleg Nenadic [ctb], Simon Urbanek [ctb], Ming Chen [ctb], Albrecht Gebhardt [ctb], Ben Bolker [ctb], Gabor Csardi [ctb], Adam Strzelecki [ctb], Alexander Senger [ctb], The R Core Team [ctb, cph], Dirk Ed [...truncated...]
Maintainer: Duncan Murdoch <murdoch.duncan@gmail.com>

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Package HGNChelper updated to version 0.8.15 with previous version 0.8.14 dated 2024-05-18

Title: Identify and Correct Invalid HGNC Human Gene Symbols and MGI Mouse Gene Symbols
Description: Contains functions for identifying and correcting HGNC human gene symbols and MGI mouse gene symbols which have been converted to date format by Excel, withdrawn, or aliased. Also contains functions for reversibly converting between HGNC symbols and valid R names.
Author: Sehyun Oh [aut], Ayush Aggarwal [aut], Markus Riester [aut], Levi Waldron [aut, cre]
Maintainer: Levi Waldron <lwaldron.research@gmail.com>

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Package fontawesome updated to version 0.5.3 with previous version 0.5.2 dated 2023-08-19

Title: Easily Work with 'Font Awesome' Icons
Description: Easily and flexibly insert 'Font Awesome' icons into 'R Markdown' documents and 'Shiny' apps. These icons can be inserted into HTML content through inline 'SVG' tags or 'i' tags. There is also a utility function for exporting 'Font Awesome' icons as 'PNG' images for those situations where raster graphics are needed.
Author: Richard Iannone [aut, cre] , Christophe Dervieux [ctb] , Winston Chang [ctb], Dave Gandy [ctb, cph] , Posit Software, PBC [cph, fnd]
Maintainer: Richard Iannone <rich@posit.co>

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Package MortCast updated to version 2.8-0 with previous version 2.7-0 dated 2022-03-31

Title: Estimation and Projection of Age-Specific Mortality Rates
Description: Age-specific mortality rates are estimated and projected using the Kannisto, Lee-Carter and related methods as described in Sevcikova et al. (2016) <doi:10.1007/978-3-319-26603-9_15>.
Author: Hana Sevcikova [cre, aut], Nan Li [aut], Patrick Gerland [aut]
Maintainer: Hana Sevcikova <hanas@uw.edu>

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Package pargasite updated to version 2.1.1 with previous version 2.1.0 dated 2024-04-23

Title: Pollution-Associated Risk Geospatial Analysis Site
Description: Offers tools to estimate and visualize levels of major pollutants (CO, NO2, SO2, Ozone, PM2.5 and PM10) across the conterminous United States for user-defined time ranges. Provides functions to retrieve pollutant data from the U.S. Environmental Protection Agency’s 'Air Quality System' (AQS) API service <https://aqs.epa.gov/aqsweb/documents/data_api.html> for interactive visualization through a 'shiny' application, allowing users to explore pollutant levels for a given location over time relative to the National Ambient Air Quality Standards (NAAQS).
Author: Jaehyun Joo [aut, cre], Rebecca Greenblatt [aut], Avantika Diwadkar [aut], Nisha Narayanan [aut], Blanca Himes [aut]
Maintainer: Jaehyun Joo <jaehyunjoo@outlook.com>

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Package gdverse updated to version 1.3 with previous version 1.2 dated 2024-11-07

Title: Analysis of Spatial Stratified Heterogeneity
Description: Analyzing spatial factors and exploring spatial associations based on the concept of spatial stratified heterogeneity, while also taking into account local spatial dependencies, spatial interpretability, complex spatial interactions, and robust spatial stratification. Additionally, it supports the spatial stratified heterogeneity family established in academic literature.
Author: Wenbo Lv [aut, cre, cph] , Yangyang Lei [aut] , Fangmei Liu [aut] , Jianwu Yan [aut] , Yongze Song [aut] , Wufan Zhao [aut]
Maintainer: Wenbo Lv <lyu.geosocial@gmail.com>

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Package forsearch updated to version 6.3.0 with previous version 6.2.0 dated 2024-07-13

Title: Diagnostic Analysis Using Forward Search Procedure for Various Models
Description: Identifies potential data outliers and their impact on estimates and analyses. Tool for evaluation of study credibility. Uses the forward search approach of Atkinson and Riani, "Robust Diagnostic Regression Analysis", 2000,<ISBN: o-387-95017-6> to prepare descriptive statistics of a dataset that is to be analyzed by functions lm {stats}, glm {stats}, nls {stats}, lme {nlme}, or coxph {survival}, or their equivalent in another language. Includes graphics functions to display the descriptive statistics.
Author: William Fairweather [aut, cre]
Maintainer: William Fairweather <wrf343@flowervalleyconsulting.com>

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 forsearch-6.3.0/forsearch/NAMESPACE                                                               |    1 
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 forsearch-6.3.0/forsearch/R/showme.R                                                              |    4 
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 forsearch-6.3.0/forsearch/man/aStep1.rd                                                           |    9 
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 forsearch-6.3.0/forsearch/man/forsearch_cph.Rd                                                    |   19 
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Package hgwrr updated to version 0.6-1 with previous version 0.6-0 dated 2024-11-07

Title: Hierarchical and Geographically Weighted Regression
Description: This model divides coefficients into three types, i.e., local fixed effects, global fixed effects, and random effects (Hu et al., 2022)<doi:10.1177/23998083211063885>. If data have spatial hierarchical structures (especially are overlapping on some locations), it is worth trying this model to reach better fitness.
Author: Yigong Hu [aut, cre], Richard Harris [aut], Richard Timmerman [aut]
Maintainer: Yigong Hu <yigong.hu@bristol.ac.uk>

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Fri, 15 Nov 2024

Package ReliaGrowR updated to version 0.1.3 with previous version 0.1.1 dated 2024-11-01

Title: Reliability Growth Analysis
Description: Modeling and plotting functions for Reliability Growth Analysis (RGA). Models include the Duane (1962) <doi:10.1109/TA.1964.4319640>, Non-Homogeneous Poisson Process (NHPP) by Crow (1975) <https://apps.dtic.mil/sti/citations/ADA020296>, Piecewise Weibull NHPP by Guo et al. (2010) <doi:10.1109/RAMS.2010.5448029>, and Piecewise Weibull NHPP with Change Point Detection based on the 'segmented' package by Muggeo (2024) <https://cran.r-project.org/package=segmented>.
Author: Paul Govan [aut, cre, cph]
Maintainer: Paul Govan <paul.govan2@gmail.com>

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Package visachartR updated to version 4.0.1 with previous version 3.3.0 dated 2024-03-16

Title: Wrapper for 'Visa Chart Components'
Description: Provides a set of wrapper functions for 'Visa Chart Components'. 'Visa Chart Components' <https://github.com/visa/visa-chart-components> is an accessibility focused, framework agnostic set of data experience design systems components for the web.
Author: Christopher DeMartini [aut, cre], Stephanie Modica [aut], David Kutas [aut], Jaime Tanner [aut], Frank Elavsky [aut], Wojtek Kostelecki [ctb], Visa Data Experience Team [aut, fnd], Visa, Inc. [cph]
Maintainer: Christopher DeMartini <chris.demartini.npm@gmail.com>

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Package LBI updated to version 0.2.1 with previous version 0.2.0 dated 2024-10-16

Title: Likelihood Based Inference
Description: Maximum likelihood estimation and likelihood ratio test are essential for modern statistics. This package supports in calculating likelihood based inference. Reference: Pawitan Y. (2001, ISBN:0-19-850765-8).
Author: Kyun-Seop Bae [aut, cre, cph]
Maintainer: Kyun-Seop Bae <k@acr.kr>

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Package gsDesign2 updated to version 1.1.3 with previous version 1.1.2 dated 2024-04-09

Title: Group Sequential Design with Non-Constant Effect
Description: The goal of 'gsDesign2' is to enable fixed or group sequential design under non-proportional hazards. To enable highly flexible enrollment, time-to-event and time-to-dropout assumptions, 'gsDesign2' offers piecewise constant enrollment, failure rates, and dropout rates for a stratified population. This package includes three methods for designs: average hazard ratio, weighted logrank tests in Yung and Liu (2019) <doi:10.1111/biom.13196>, and MaxCombo tests. Substantial flexibility on top of what is in the 'gsDesign' package is intended for selecting boundaries.
Author: Keaven Anderson [aut], Yilong Zhang [aut], Yujie Zhao [aut, cre], Jianxiao Yang [aut], Nan Xiao [aut], Amin Shirazi [ctb], Ruixue Wang [ctb], Yi Cui [ctb], Ping Yang [ctb], Xin Tong Li [ctb], Chenxiang Li [ctb], Hiroaki Fukuda [ctb], Hongtao Zhang [c [...truncated...]
Maintainer: Yujie Zhao <yujie.zhao@merck.com>

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Package geomorph updated to version 4.0.9 with previous version 4.0.8 dated 2024-06-24

Title: Geometric Morphometric Analyses of 2D and 3D Landmark Data
Description: Read, manipulate, and digitize landmark data, generate shape variables via Procrustes analysis for points, curves and surfaces, perform shape analyses, and provide graphical depictions of shapes and patterns of shape variation.
Author: Dean Adams [aut, cre], Michael Collyer [aut], Antigoni Kaliontzopoulou [aut], Erica Baken [aut]
Maintainer: Dean Adams <dcadams@iastate.edu>

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Package habtools updated to version 1.0.7 with previous version 1.0.5 dated 2024-03-01

Title: Tools and Metrics for 3D Surfaces and Objects
Description: A collection of functions for sampling and simulating 3D surfaces and objects and estimating metrics like rugosity, fractal dimension, convexity, sphericity, circularity, second moments of area and volume, and more.
Author: Joshua Madin [aut] , Nina Schiettekatte [aut, cre]
Maintainer: Nina Schiettekatte <nina.schiettekatte@gmail.com>

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Package regressoR updated to version 4.0.3 with previous version 3.0.2 dated 2023-06-29

Title: Regression Data Analysis System
Description: Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes methods such as linear regression, penalized regression, k-nearest neighbors, decision trees, ada boosting, extreme gradient boosting, random forest, neural networks, deep learning and support vector machines.
Author: Oldemar Rodriguez [aut, cre], Andres Navarro D. [ctb, prg], Diego Jimenez A. [ctb, prg], Ariel Arroyo S. [ctb, prg], Joseline Quiros M. [ctb, prg]
Maintainer: Oldemar Rodriguez <oldemar.rodriguez@ucr.ac.cr>

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Package dynamite updated to version 1.5.5 with previous version 1.5.2 dated 2024-05-28

Title: Bayesian Modeling and Causal Inference for Multivariate Longitudinal Data
Description: Easy-to-use and efficient interface for Bayesian inference of complex panel (time series) data using dynamic multivariate panel models by Helske and Tikka (2024) <doi:10.1016/j.alcr.2024.100617>. The package supports joint modeling of multiple measurements per individual, time-varying and time-invariant effects, and a wide range of discrete and continuous distributions. Estimation of these dynamic multivariate panel models is carried out via 'Stan'. For an in-depth tutorial of the package, see (Tikka and Helske, 2024) <doi:10.48550/arXiv.2302.01607>.
Author: Santtu Tikka [aut, cre] , Jouni Helske [aut] , Nicholas Clark [rev], Lucy D'Agostino McGowan [rev]
Maintainer: Santtu Tikka <santtuth@gmail.com>

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Package fastplyr updated to version 0.4.0 with previous version 0.3.0 dated 2024-10-20

Title: Fast Alternatives to 'tidyverse' Functions
Description: A full set of fast data manipulation tools with a tidy front-end and a fast back-end using 'collapse' and 'cheapr'.
Author: Nick Christofides [aut, cre]
Maintainer: Nick Christofides <nick.christofides.r@gmail.com>

Diff between fastplyr versions 0.3.0 dated 2024-10-20 and 0.4.0 dated 2024-11-15

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Package ami updated to version 0.2.1 with previous version 0.2.0 dated 2024-10-25

Title: Checks for Various Computing Environments
Description: A collection of lightweight functions that can be used to determine the computing environment in which your code is running. This includes operating systems, continuous integration (CI) environments, containers, and more.
Author: Brian Connelly [aut, cre, cph] , Mark Padgham [ctb] , Lluis Revilla Sancho [ctb]
Maintainer: Brian Connelly <bdc@bconnelly.net>

Diff between ami versions 0.2.0 dated 2024-10-25 and 0.2.1 dated 2024-11-15

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More information about ami at CRAN
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Package gpboost updated to version 1.5.4 with previous version 1.5.1.2 dated 2024-08-26

Title: Combining Tree-Boosting with Gaussian Process and Mixed Effects Models
Description: An R package that allows for combining tree-boosting with Gaussian process and mixed effects models. It also allows for independently doing tree-boosting as well as inference and prediction for Gaussian process and mixed effects models. See <https://github.com/fabsig/GPBoost> for more information on the software and Sigrist (2022, JMLR) <https://www.jmlr.org/papers/v23/20-322.html> and Sigrist (2023, TPAMI) <doi:10.1109/TPAMI.2022.3168152> for more information on the methodology.
Author: Fabio Sigrist [aut, cre], Tim Gyger [aut], Pascal Kuendig [aut], Benoit Jacob [cph], Gael Guennebaud [cph], Nicolas Carre [cph], Pierre Zoppitelli [cph], Gauthier Brun [cph], Jean Ceccato [cph], Jitse Niesen [cph], Other authors of Eigen for the incl [...truncated...]
Maintainer: Fabio Sigrist <fabiosigrist@gmail.com>

Diff between gpboost versions 1.5.1.2 dated 2024-08-26 and 1.5.4 dated 2024-11-15

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Package frailtypack updated to version 3.6.4 with previous version 3.6.3 dated 2024-10-19

Title: Shared, Joint (Generalized) Frailty Models; Surrogate Endpoints
Description: The following several classes of frailty models using a penalized likelihood estimation on the hazard function but also a parametric estimation can be fit using this R package: 1) A shared frailty model (with gamma or log-normal frailty distribution) and Cox proportional hazard model. Clustered and recurrent survival times can be studied. 2) Additive frailty models for proportional hazard models with two correlated random effects (intercept random effect with random slope). 3) Nested frailty models for hierarchically clustered data (with 2 levels of clustering) by including two iid gamma random effects. 4) Joint frailty models in the context of the joint modelling for recurrent events with terminal event for clustered data or not. A joint frailty model for two semi-competing risks and clustered data is also proposed. 5) Joint general frailty models in the context of the joint modelling for recurrent events with terminal event data with two independent frailty terms. 6) Joint Nested fra [...truncated...]
Author: Virginie Rondeau [aut, cre] , Juan R. Gonzalez [aut], Yassin Mazroui [aut], Audrey Mauguen [aut], Amadou Diakite [aut], Alexandre Laurent [aut], Myriam Lopez [aut], Agnieszka Krol [aut], Casimir L. Sofeu [aut], Julien Dumerc [aut], Denis Rustand [aut [...truncated...]
Maintainer: Virginie Rondeau <virginie.rondeau@u-bordeaux.fr>

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Package comtradr updated to version 1.0.3 with previous version 1.0.2 dated 2024-09-20

Title: Interface with the United Nations Comtrade API
Description: Interface with and extract data from the United Nations 'Comtrade' API <https://comtradeplus.un.org/>. 'Comtrade' provides country level shipping data for a variety of commodities, these functions allow for easy API query and data returned as a tidy data frame.
Author: Paul Bochtler [aut, cre, cph] , Harriet Goers [aut], Chris Muir [aut], Alicia Schep [rev] , Rafael Hellwig [rev] , Ernest Guevarra [rev] , Nicholas Potter [rev] , Juergen Amann [ctb]
Maintainer: Paul Bochtler <paulbochtler.gh@gmail.com>

Diff between comtradr versions 1.0.2 dated 2024-09-20 and 1.0.3 dated 2024-11-15

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Package tarchetypes updated to version 0.11.0 with previous version 0.10.0 dated 2024-09-26

Title: Archetypes for Targets
Description: Function-oriented Make-like declarative pipelines for Statistics and data science are supported in the 'targets' R package. As an extension to 'targets', the 'tarchetypes' package provides convenient user-side functions to make 'targets' easier to use. By establishing reusable archetypes for common kinds of targets and pipelines, these functions help express complicated reproducible pipelines concisely and compactly. The methods in this package were influenced by the 'targets' R package. by Will Landau (2018) <doi:10.21105/joss.00550>.
Author: William Michael Landau [aut, cre] , Rudolf Siegel [ctb] , Samantha Oliver [rev] , Tristan Mahr [rev] , Eli Lilly and Company [cph, fnd]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>

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Package mlr3mbo updated to version 0.2.7 with previous version 0.2.6 dated 2024-10-16

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 proffer updated to version 0.2.2 with previous version 0.2.1 dated 2024-10-30

Title: Profile R Code and Visualize with 'Pprof'
Description: Like similar profiling tools, the 'proffer' package automatically detects sources of slowness in R code. The distinguishing feature of 'proffer' is its utilization of 'pprof', which supplies interactive visualizations that are efficient and easy to interpret. Behind the scenes, the 'profile' package converts native Rprof() data to a protocol buffer that 'pprof' understands. For the documentation of 'proffer', visit <https://r-prof.github.io/proffer/>. To learn about the implementations and methodologies of 'pprof', 'profile', and protocol buffers, visit <https://github.com/google/pprof>. <https://protobuf.dev>, and <https://github.com/r-prof/profile>, respectively.
Author: William Michael Landau [aut, cre] , Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>

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Package multichull updated to version 3.0.1 with previous version 3.0.0 dated 2024-07-18

Title: A Generic Convex-Hull-Based Model Selection Method
Description: Given a set of models for which a measure of model (mis)fit and model complexity is provided, CHull(), developed by Ceulemans and Kiers (2006) <doi:10.1348/000711005X64817>, determines the models that are located on the boundary of the convex hull and selects an optimal model by means of the scree test values.
Author: Marlies Vervloet [aut, trl], Tom Wilderjans [aut], Jeffrey Durieux [aut], Eva Ceulemans [aut], Kristof Meers [cre]
Maintainer: Kristof Meers <kristof.meers+cran@kuleuven.be>

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Package mult.latent.reg updated to version 0.2.1 with previous version 0.2.0 dated 2024-10-24

Title: Regression and Clustering in Multivariate Response Scenarios
Description: Fitting multivariate response models with random effects on one or two levels; whereby the (one-dimensional) random effect represents a latent variable approximating the multivariate space of outcomes, after possible adjustment for covariates. The method is particularly useful for multivariate, highly correlated outcome variables with unobserved heterogeneities. Applications include regression with multivariate responses, as well as multivariate clustering or ranking problems. See Zhang and Einbeck (2024) <doi:10.1007/s42519-023-00357-0>.
Author: Yingjuan Zhang [aut, cre], Jochen Einbeck [aut, ctb]
Maintainer: Yingjuan Zhang <yingjuan.zhang@durham.ac.uk>

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Package modsem updated to version 1.0.4 with previous version 1.0.3 dated 2024-09-23

Title: Latent Interaction (and Moderation) Analysis in Structural Equation Models (SEM)
Description: Estimation of interaction (i.e., moderation) effects between latent variables in structural equation models (SEM). The supported methods are: The constrained approach (Algina & Moulder, 2001). The unconstrained approach (Marsh et al., 2004). The residual centering approach (Little et al., 2006). The double centering approach (Lin et al., 2010). The latent moderated structural equations (LMS) approach (Klein & Moosbrugger, 2000). The quasi-maximum likelihood (QML) approach (Klein & Muthén, 2007) (temporarily unavailable) The constrained- unconstrained, residual- and double centering- approaches are estimated via 'lavaan' (Rosseel, 2012), whilst the LMS- and QML- approaches are estimated via by modsem it self. Alternatively model can be estimated via 'Mplus' (Muthén & Muthén, 1998-2017). References: Algina, J., & Moulder, B. C. (2001). <doi:10.1207/S15328007SEM0801_3>. "A note on estimating the Jöreskog-Yang model for latent variable interaction using 'LISREL' 8 [...truncated...]
Author: Kjell Solem Slupphaug [aut, cre] , Mehmet Mehmetoglu [ctb] , Matthias Mittner [ctb]
Maintainer: Kjell Solem Slupphaug <slupphaugkjell@gmail.com>

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Package crew updated to version 0.10.2 with previous version 0.10.1 dated 2024-11-03

Title: A Distributed Worker Launcher Framework
Description: In computationally demanding analysis projects, statisticians and data scientists asynchronously deploy long-running tasks to distributed systems, ranging from traditional clusters to cloud services. The 'NNG'-powered 'mirai' R package by Gao (2023) <doi:10.5281/zenodo.7912722> is a sleek and sophisticated scheduler that efficiently processes these intense workloads. The 'crew' package extends 'mirai' with a unifying interface for third-party worker launchers. Inspiration also comes from packages. 'future' by Bengtsson (2021) <doi:10.32614/RJ-2021-048>, 'rrq' by FitzJohn and Ashton (2023) <https://github.com/mrc-ide/rrq>, 'clustermq' by Schubert (2019) <doi:10.1093/bioinformatics/btz284>), and 'batchtools' by Lang, Bischel, and Surmann (2017) <doi:10.21105/joss.00135>.
Author: William Michael Landau [aut, cre] , Daniel Woodie [ctb], Eli Lilly and Company [cph, fnd]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>

Diff between crew versions 0.10.1 dated 2024-11-03 and 0.10.2 dated 2024-11-15

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Package statgenGWAS updated to version 1.0.10 with previous version 1.0.9 dated 2022-10-13

Title: Genome Wide Association Studies
Description: Fast single trait Genome Wide Association Studies (GWAS) following the method described in Kang et al. (2010), <doi:10.1038/ng.548>. One of a series of statistical genetic packages for streamlining the analysis of typical plant breeding experiments developed by Biometris.
Author: Bart-Jan van Rossum [aut, cre] , Willem Kruijer [aut] , Fred van Eeuwijk [ctb] , Martin Boer [ctb] , Marcos Malosetti [ctb] , Daniela Bustos-Korts [ctb] , Emilie Millet [ctb] , Joao Paulo [ctb] , Maikel Verouden [ctb] , Ron Wehrens [ctb] , Choazhi Zh [...truncated...]
Maintainer: Bart-Jan van Rossum <bart-jan.vanrossum@wur.nl>

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Package CohortSymmetry updated to version 0.1.4 with previous version 0.1.3 dated 2024-09-23

Title: Sequence Symmetry Analysis Using the Observational Medical Outcomes Partnership Common Data Model
Description: Calculating crude sequence ratio, adjusted sequence ratio and confidence intervals using data mapped to the Observational Medical Outcomes Partnership Common Data Model.
Author: Xihang Chen [aut, cre] , Tyman Stanford [aut] , Berta Raventos [aut] , Nicole Pratt [aut] , Ed Burn [aut] , Marti Catala [aut] , Danielle Newby [aut] , Nuria Mercade-Besora [aut] , Mike Du [aut] , Yuchen Guo [aut] , Kim Lopez [aut] , Marta Alcalde-He [...truncated...]
Maintainer: Xihang Chen <xihang.chen@ndorms.ox.ac.uk>

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Package tabulapdf updated to version 1.0.5-5 with previous version 1.0.5-3 dated 2024-05-21

Title: Extract Tables from PDF Documents
Description: Bindings for the 'Tabula' <https://tabula.technology/> 'Java' library, which can extract tables from PDF files. This tool can reduce time and effort in data extraction processes in fields like investigative journalism. It allows for automatic and manual table extraction, the latter facilitated through a 'Shiny' interface, enabling manual areas selection\ with a computer mouse for data retrieval.
Author: Thomas J. Leeper [aut] , Mauricio Vargas Sepulveda [aut, cre] , Tom Paskhalis [aut] , Manuel Aristaran [ctb], David Gohel [ctb] , Lincoln Mullen [ctb] , Munk School of Global Affairs and Public Policy [fnd]
Maintainer: Mauricio Vargas Sepulveda <m.sepulveda@mail.utoronto.ca>

Diff between tabulapdf versions 1.0.5-3 dated 2024-05-21 and 1.0.5-5 dated 2024-11-15

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Package Rdpack updated to version 2.6.2 with previous version 2.6.1 dated 2024-08-06

Title: Update and Manipulate Rd Documentation Objects
Description: Functions for manipulation of R documentation objects, including functions reprompt() and ereprompt() for updating 'Rd' documentation for functions, methods and classes; 'Rd' macros for citations and import of references from 'bibtex' files for use in 'Rd' files and 'roxygen2' comments; 'Rd' macros for evaluating and inserting snippets of 'R' code and the results of its evaluation or creating graphics on the fly; and many functions for manipulation of references and Rd files.
Author: Georgi N. Boshnakov [aut, cre], Duncan Murdoch [ctb]
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>

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Package prior3D updated to version 0.1.3 with previous version 0.1.2 dated 2024-11-06

Title: 3D Prioritization Algorithm
Description: Three-dimensional systematic conservation planning, conducting nested prioritization analyses across multiple depth levels and ensuring efficient resource allocation throughout the water column. It provides a structured workflow designed to address biodiversity conservation and management challenges in the 3 dimensions, while facilitating users’ choices and parameterization (Doxa et al. 2024 <doi:10.1016/j.ecolmodel.2024.110919>).
Author: Aggeliki Doxa [aut] , Christos Adam [aut, cre], Nikolaos Nagkoulis [aut] , Antonios D. Mazaris [aut] , Stelios Katsanevakis [aut]
Maintainer: Christos Adam <econp266@econ.soc.uoc.gr>

Diff between prior3D versions 0.1.2 dated 2024-11-06 and 0.1.3 dated 2024-11-15

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Package flowmapper updated to version 0.1.3 with previous version 0.1.2 dated 2024-09-06

Title: Draw Flows (Migration, Goods, Money, Information) on 'ggplot2' Plots
Description: Adds flow maps to 'ggplot2' plots. The flow maps consist of 'ggplot2' layers which visualize the nodes as circles and the bilateral flows between the nodes as bidirectional half-arrows.
Author: Johannes Mast [aut, cre]
Maintainer: Johannes Mast <johannes.mast@dlr.de>

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Package CFO updated to version 2.2.0 with previous version 2.1.0 dated 2024-10-15

Title: CFO-Type Designs in Phase I/II Clinical Trials
Description: In phase I clinical trials, the primary objective is to ascertain the maximum tolerated dose (MTD) corresponding to a specified target toxicity rate. The subsequent phase II trials are designed to examine the potential efficacy of the drug based on the MTD obtained from the phase I trials, with the aim of identifying the optimal biological dose (OBD). The 'CFO' package facilitates the implementation of dose-finding trials by utilizing calibration-free odds type (CFO-type) designs. Specifically, it encompasses the calibration-free odds (CFO) (Jin and Yin (2022) <doi:10.1177/09622802221079353>), randomized CFO (rCFO), precision CFO (pCFO), two-dimensional CFO (2dCFO) (Wang et al. (2023) <doi:10.3389/fonc.2023.1294258>), time-to-event CFO (TITE-CFO) (Jin and Yin (2023) <doi:10.1002/pst.2304>), fractional CFO (fCFO), accumulative CFO (aCFO), TITE-aCFO, and f-aCFO (Fang and Yin (2024) <doi: 10.1002/sim.10127>). It supports phase I/II trials for the CFO design and onl [...truncated...]
Author: Jialu Fang [aut, cre], Ninghao Zhang [aut], Wenliang Wang [aut], Guosheng Yin [aut]
Maintainer: Jialu Fang <u3008682@connect.hku.hk>

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Package spatstat.data updated to version 3.1-4 with previous version 3.1-2 dated 2024-06-21

Title: Datasets for 'spatstat' Family
Description: Contains all the datasets for the 'spatstat' family of packages.
Author: Adrian Baddeley [aut, cre] , Rolf Turner [aut] , Ege Rubak [aut] , W Aherne [ctb], Freda Alexander [ctb], Qi Wei Ang [ctb], Sourav Banerjee [ctb], Mark Berman [ctb], R Bernhardt [ctb], Thomas Berndtsen [ctb], Andrew Bevan [ctb], Jeffrey Betts [ctb], [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package mirai updated to version 1.3.1 with previous version 1.3.0 dated 2024-10-09

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, with the result automatically available upon completion. Modern networking and concurrency built on 'nanonext' and 'NNG' (Nanomsg Next Gen) ensure reliable and efficient scheduling, over fast inter-process communications or TCP/IP secured by TLS. Advantages include being inherently queued thus handling many more tasks than available processes, no storage on the file system, support for otherwise non-exportable reference objects, an event-driven promises implementation, and built-in asynchronous parallel map.
Author: Charlie Gao [aut, cre] , Joe Cheng [ctb], Hibiki AI Limited [cph]
Maintainer: Charlie Gao <charlie.gao@shikokuchuo.net>

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More information about mirai at CRAN
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Package klassR updated to version 1.0.0 with previous version 0.2.4 dated 2024-08-16

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>

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More information about klassR at CRAN
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Package jstable updated to version 1.3.6 with previous version 1.3.5 dated 2024-10-20

Title: Create Tables from Different Types of Regression
Description: Create regression tables from generalized linear model(GLM), generalized estimating equation(GEE), generalized linear mixed-effects model(GLMM), Cox proportional hazards model, survey-weighted generalized linear model(svyglm) and survey-weighted Cox model results for publication.
Author: Jinseob Kim [aut, cre] , Zarathu [cph, fnd], Yoonkyoung Jeon [aut], Jaehun Shon [aut], Hyojong Myung [aut], Hyungwoo Jo [aut]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>

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Package grf updated to version 2.4.0 with previous version 2.3.2 dated 2024-02-25

Title: Generalized Random Forests
Description: Forest-based statistical estimation and inference. GRF provides non-parametric methods for heterogeneous treatment effects estimation (optionally using right-censored outcomes, multiple treatment arms or outcomes, or instrumental variables), as well as least-squares regression, quantile regression, and survival regression, all with support for missing covariates.
Author: Julie Tibshirani [aut], Susan Athey [aut], Rina Friedberg [ctb], Vitor Hadad [ctb], David Hirshberg [ctb], Luke Miner [ctb], Erik Sverdrup [aut, cre], Stefan Wager [aut], Marvin Wright [ctb]
Maintainer: Erik Sverdrup <erik.sverdrup@monash.edu>

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Package dendextend updated to version 1.19.0 with previous version 1.18.1 dated 2024-10-12

Title: Extending 'dendrogram' Functionality in R
Description: Offers a set of functions for extending 'dendrogram' objects in R, letting you visualize and compare trees of 'hierarchical clusterings'. You can (1) Adjust a tree's graphical parameters - the color, size, type, etc of its branches, nodes and labels. (2) Visually and statistically compare different 'dendrograms' to one another.
Author: Tal Galili [aut, cre, cph] , Yoav Benjamini [ths], Gavin Simpson [ctb], Gregory Jefferis [aut, ctb] , Marco Gallotta [ctb] , Johan Renaudie [ctb] , The R Core Team [ctb] , Kurt Hornik [ctb], Uwe Ligges [ctb], Andrej-Nikolai Spiess [ctb], Steve Horvat [...truncated...]
Maintainer: Tal Galili <tal.galili@gmail.com>

Diff between dendextend versions 1.18.1 dated 2024-10-12 and 1.19.0 dated 2024-11-15

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More information about dendextend at CRAN
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Package sdsfun updated to version 0.4.3 with previous version 0.4.2 dated 2024-11-11

Title: Spatial Data Science Complementary Features
Description: Wrapping and supplementing commonly used functions in the R ecosystem related to spatial data science, while serving as a basis for other packages maintained by Wenbo Lv.
Author: Wenbo Lv [aut, cre, cph]
Maintainer: Wenbo Lv <lyu.geosocial@gmail.com>

Diff between sdsfun versions 0.4.2 dated 2024-11-11 and 0.4.3 dated 2024-11-15

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Permanent link

Package autometric updated to version 0.1.2 with previous version 0.1.1 dated 2024-11-14

Title: Background Resource Logging
Description: Intense parallel workloads can be difficult to monitor. Packages 'crew.cluster', 'clustermq', and 'future.batchtools' distribute hundreds of worker processes over multiple computers. If a worker process exhausts its available memory, it may terminate silently, leaving the underlying problem difficult to detect or troubleshoot. Using the 'autometric' package, a worker can proactively monitor itself in a detached background thread. The worker process itself runs normally, and the thread writes to a log every few seconds. If the worker terminates unexpectedly, 'autometric' can read and visualize the log file to reveal potential resource-related reasons for the crash. The 'autometric' package borrows heavily from the methods of packages 'ps' <doi:10.32614/CRAN.package.ps> and 'psutil'.
Author: William Michael Landau [aut, cre] , Eli Lilly and Company [cph, fnd], Posit Software, PBC [cph] , Jay Loden [cph] , Dave Daeschler [cph] , Giampaolo Rodola [cph]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>

Diff between autometric versions 0.1.1 dated 2024-11-14 and 0.1.2 dated 2024-11-15

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Permanent link

Thu, 14 Nov 2024

Package umx updated to version 4.21.0 with previous version 4.20.0 dated 2024-04-10

Title: Structural Equation Modeling and Twin Modeling in R
Description: Quickly create, run, and report structural equation models, and twin models. See '?umx' for help, and umx_open_CRAN_page("umx") for NEWS. Timothy C. Bates, Michael C. Neale, Hermine H. Maes, (2019). umx: A library for Structural Equation and Twin Modelling in R. Twin Research and Human Genetics, 22, 27-41. <doi:10.1017/thg.2019.2>.
Author: Timothy C. Bates [aut, cre] , Nathan Gillespie [wit], Hermine Maes [ctb], Michael C. Neale [ctb], Joshua N. Pritikin [ctb], Luis De Araujo [ctb], Brenton Wiernik [ctb], Michael Zakharin [wit]
Maintainer: Timothy C. Bates <timothy.c.bates@gmail.com>

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 tests/testthat/test_umx_CLPM.r              |   70 ++
 317 files changed, 2409 insertions(+), 1912 deletions(-)

More information about umx at CRAN
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Package TreeRingShape updated to version 3.0.5 with previous version 3.0.3 dated 2024-04-22

Title: Recording Tree-Ring Shapes of Tree Disks with Manual Digitizing and Interpolating Model
Description: Record all tree-ring Shapefile of tree disk with GIS soft 'Qgis' and interpolating model from high resolution tree disk image.
Author: Megumi ISHIDA [aut, cre, cph]
Maintainer: Megumi ISHIDA <ishidam@sanchikanri.com>

Diff between TreeRingShape versions 3.0.3 dated 2024-04-22 and 3.0.5 dated 2024-11-14

 DESCRIPTION                 |   21 ++++++++-------
 MD5                         |   25 +++++++++---------
 NEWS.md                     |   16 +++++++++---
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 14 files changed, 114 insertions(+), 63 deletions(-)

More information about TreeRingShape at CRAN
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Package reticulate updated to version 1.40.0 with previous version 1.39.0 dated 2024-09-05

Title: Interface to 'Python'
Description: Interface to 'Python' modules, classes, and functions. When calling into 'Python', R data types are automatically converted to their equivalent 'Python' types. When values are returned from 'Python' to R they are converted back to R types. Compatible with all versions of 'Python' >= 2.7.
Author: Tomasz Kalinowski [ctb, cre], Kevin Ushey [aut], JJ Allaire [aut], RStudio [cph, fnd], Yuan Tang [aut, cph] , Dirk Eddelbuettel [ctb, cph], Bryan Lewis [ctb, cph], Sigrid Keydana [ctb], Ryan Hafen [ctb, cph], Marcus Geelnard [ctb, cph]
Maintainer: Tomasz Kalinowski <tomasz@posit.co>

Diff between reticulate versions 1.39.0 dated 2024-09-05 and 1.40.0 dated 2024-11-14

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More information about reticulate at CRAN
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Package SchoolDataIT updated to version 0.2.2 with previous version 0.2.1 dated 2024-10-01

Title: Retrieve, Harmonise and Map Open Data Regarding the Italian School System
Description: Compiles and displays the available data sets regarding the Italian school system, with a focus on the infrastructural aspects. Input datasets are downloaded from the web, with the aim of updating everything to real time. The functions are divided in four main modules, namely 'Get', to scrape raw data from the web 'Util', various utilities needed to process raw data 'Group', to aggregate data at the municipality or province level 'Map', to visualize the output datasets.
Author: Leonardo Cefalo [aut, cre] , Alessio Pollice [ctb, ths] , Paolo Maranzano [ctb]
Maintainer: Leonardo Cefalo <leonardo.cefalo@uniba.it>

Diff between SchoolDataIT versions 0.2.1 dated 2024-10-01 and 0.2.2 dated 2024-11-14

 DESCRIPTION                 |    8 ++--
 MD5                         |   52 +++++++++++++--------------
 NEWS.md                     |   11 +++++
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More information about SchoolDataIT at CRAN
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Package adbcdrivermanager updated to version 0.15.0 with previous version 0.14.0 dated 2024-09-06

Title: 'Arrow' Database Connectivity ('ADBC') Driver Manager
Description: Provides a developer-facing interface to 'Arrow' Database Connectivity ('ADBC') for the purposes of driver development, driver testing, and building high-level database interfaces for users. 'ADBC' <https://arrow.apache.org/adbc/> is an API standard for database access libraries that uses 'Arrow' for result sets and query parameters.
Author: Dewey Dunnington [aut, cre] , Apache Arrow [aut, cph], Apache Software Foundation [cph]
Maintainer: Dewey Dunnington <dewey@dunnington.ca>

Diff between adbcdrivermanager versions 0.14.0 dated 2024-09-06 and 0.15.0 dated 2024-11-14

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 adbcdrivermanager-0.15.0/adbcdrivermanager/src/c/vendor/nanoarrow/nanoarrow.c             |  701 +++++-
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 48 files changed, 3285 insertions(+), 1999 deletions(-)

More information about adbcdrivermanager at CRAN
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Package adbcsqlite updated to version 0.15.0 with previous version 0.14.0 dated 2024-09-06

Title: 'Arrow' Database Connectivity ('ADBC') 'SQLite' Driver
Description: Provides a developer-facing interface to the 'Arrow' Database Connectivity ('ADBC') 'SQLite' driver for the purposes of building high-level database interfaces for users. 'ADBC' <https://arrow.apache.org/adbc/> is an API standard for database access libraries that uses 'Arrow' for result sets and query parameters.
Author: Dewey Dunnington [aut, cre] , Apache Arrow [aut, cph], Apache Software Foundation [cph]
Maintainer: Dewey Dunnington <dewey@dunnington.ca>

Diff between adbcsqlite versions 0.14.0 dated 2024-09-06 and 0.15.0 dated 2024-11-14

 adbcsqlite-0.14.0/adbcsqlite/src/c/driver/framework/catalog.cc              |only
 adbcsqlite-0.14.0/adbcsqlite/src/c/driver/framework/catalog.h               |only
 adbcsqlite-0.15.0/adbcsqlite/DESCRIPTION                                    |   12 
 adbcsqlite-0.15.0/adbcsqlite/MD5                                            |   90 
 adbcsqlite-0.15.0/adbcsqlite/configure                                      |    3 
 adbcsqlite-0.15.0/adbcsqlite/man/adbcsqlite-package.Rd                      |    3 
 adbcsqlite-0.15.0/adbcsqlite/src/Makevars.in                                |    4 
 adbcsqlite-0.15.0/adbcsqlite/src/c/driver/common/utils.c                    |   66 
 adbcsqlite-0.15.0/adbcsqlite/src/c/driver/common/utils.h                    |    6 
 adbcsqlite-0.15.0/adbcsqlite/src/c/driver/framework/base_driver.h           |   11 
 adbcsqlite-0.15.0/adbcsqlite/src/c/driver/framework/connection.h            |    6 
 adbcsqlite-0.15.0/adbcsqlite/src/c/driver/framework/objects.cc              |  175 +
 adbcsqlite-0.15.0/adbcsqlite/src/c/driver/framework/objects.h               |  120 +
 adbcsqlite-0.15.0/adbcsqlite/src/c/driver/framework/statement.h             |    3 
 adbcsqlite-0.15.0/adbcsqlite/src/c/driver/framework/status.h                |   38 
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 adbcsqlite-0.15.0/adbcsqlite/src/c/driver/postgresql/bind_stream.h          |  552 +----
 adbcsqlite-0.15.0/adbcsqlite/src/c/driver/postgresql/connection.cc          | 1086 ++++------
 adbcsqlite-0.15.0/adbcsqlite/src/c/driver/postgresql/connection.h           |    8 
 adbcsqlite-0.15.0/adbcsqlite/src/c/driver/postgresql/copy/reader.h          |    5 
 adbcsqlite-0.15.0/adbcsqlite/src/c/driver/postgresql/copy/writer.h          |   10 
 adbcsqlite-0.15.0/adbcsqlite/src/c/driver/postgresql/database.cc            |  269 +-
 adbcsqlite-0.15.0/adbcsqlite/src/c/driver/postgresql/database.h             |   23 
 adbcsqlite-0.15.0/adbcsqlite/src/c/driver/postgresql/error.cc               |   73 
 adbcsqlite-0.15.0/adbcsqlite/src/c/driver/postgresql/error.h                |   73 
 adbcsqlite-0.15.0/adbcsqlite/src/c/driver/postgresql/postgres_type.h        |   96 
 adbcsqlite-0.15.0/adbcsqlite/src/c/driver/postgresql/postgresql.cc          |   32 
 adbcsqlite-0.15.0/adbcsqlite/src/c/driver/postgresql/result_helper.cc       |   89 
 adbcsqlite-0.15.0/adbcsqlite/src/c/driver/postgresql/result_helper.h        |   86 
 adbcsqlite-0.15.0/adbcsqlite/src/c/driver/postgresql/result_reader.cc       |  108 
 adbcsqlite-0.15.0/adbcsqlite/src/c/driver/postgresql/result_reader.h        |   29 
 adbcsqlite-0.15.0/adbcsqlite/src/c/driver/postgresql/statement.cc           |  296 +-
 adbcsqlite-0.15.0/adbcsqlite/src/c/driver/postgresql/statement.h            |   24 
 adbcsqlite-0.15.0/adbcsqlite/src/c/driver/sqlite/sqlite.cc                  |   62 
 adbcsqlite-0.15.0/adbcsqlite/src/c/driver/sqlite/statement_reader.c         |   19 
 adbcsqlite-0.15.0/adbcsqlite/src/c/driver/sqlite/statement_reader.h         |    5 
 adbcsqlite-0.15.0/adbcsqlite/src/c/driver_manager/adbc_driver_manager.cc    |   63 
 adbcsqlite-0.15.0/adbcsqlite/src/c/include/arrow-adbc/adbc.h                |    2 
 adbcsqlite-0.15.0/adbcsqlite/src/c/include/arrow-adbc/adbc_driver_manager.h |    5 
 adbcsqlite-0.15.0/adbcsqlite/src/c/validation/adbc_validation.h             |   54 
 adbcsqlite-0.15.0/adbcsqlite/src/c/validation/adbc_validation_connection.cc |   35 
 adbcsqlite-0.15.0/adbcsqlite/src/c/validation/adbc_validation_statement.cc  |  147 +
 adbcsqlite-0.15.0/adbcsqlite/src/c/validation/adbc_validation_util.cc       |   60 
 adbcsqlite-0.15.0/adbcsqlite/src/c/validation/adbc_validation_util.h        |  127 -
 adbcsqlite-0.15.0/adbcsqlite/src/c/vendor/nanoarrow/nanoarrow.c             |  701 +++++-
 adbcsqlite-0.15.0/adbcsqlite/src/c/vendor/nanoarrow/nanoarrow.h             |  602 ++++-
 adbcsqlite-0.15.0/adbcsqlite/src/c/vendor/nanoarrow/nanoarrow.hpp           |   13 
 48 files changed, 3289 insertions(+), 2002 deletions(-)

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Package adbcpostgresql updated to version 0.15.0 with previous version 0.14.0 dated 2024-09-06

Title: 'Arrow' Database Connectivity ('ADBC') 'PostgreSQL' Driver
Description: Provides a developer-facing interface to the 'Arrow' Database Connectivity ('ADBC') 'PostgreSQL' driver for the purposes of building high-level database interfaces for users. 'ADBC' <https://arrow.apache.org/adbc/> is an API standard for database access libraries that uses 'Arrow' for result sets and query parameters.
Author: Dewey Dunnington [aut, cre] , Apache Arrow [aut, cph], Apache Software Foundation [cph]
Maintainer: Dewey Dunnington <dewey@dunnington.ca>

Diff between adbcpostgresql versions 0.14.0 dated 2024-09-06 and 0.15.0 dated 2024-11-14

 adbcpostgresql-0.14.0/adbcpostgresql/src/c/driver/framework/catalog.cc              |only
 adbcpostgresql-0.14.0/adbcpostgresql/src/c/driver/framework/catalog.h               |only
 adbcpostgresql-0.14.0/adbcpostgresql/src/c/vendor/sqlite3                           |only
 adbcpostgresql-0.15.0/adbcpostgresql/DESCRIPTION                                    |   12 
 adbcpostgresql-0.15.0/adbcpostgresql/MD5                                            |   96 
 adbcpostgresql-0.15.0/adbcpostgresql/configure                                      |    5 
 adbcpostgresql-0.15.0/adbcpostgresql/man/adbcpostgresql-package.Rd                  |    3 
 adbcpostgresql-0.15.0/adbcpostgresql/src/Makevars.in                                |    5 
 adbcpostgresql-0.15.0/adbcpostgresql/src/Makevars.ucrt                              |    5 
 adbcpostgresql-0.15.0/adbcpostgresql/src/Makevars.win                               |    5 
 adbcpostgresql-0.15.0/adbcpostgresql/src/c/driver/common/utils.c                    |   66 
 adbcpostgresql-0.15.0/adbcpostgresql/src/c/driver/common/utils.h                    |    6 
 adbcpostgresql-0.15.0/adbcpostgresql/src/c/driver/framework/base_driver.h           |   11 
 adbcpostgresql-0.15.0/adbcpostgresql/src/c/driver/framework/connection.h            |    6 
 adbcpostgresql-0.15.0/adbcpostgresql/src/c/driver/framework/objects.cc              |  175 +
 adbcpostgresql-0.15.0/adbcpostgresql/src/c/driver/framework/objects.h               |  120 +
 adbcpostgresql-0.15.0/adbcpostgresql/src/c/driver/framework/statement.h             |    3 
 adbcpostgresql-0.15.0/adbcpostgresql/src/c/driver/framework/status.h                |   38 
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 adbcpostgresql-0.15.0/adbcpostgresql/src/c/driver/framework/utility.h               |only
 adbcpostgresql-0.15.0/adbcpostgresql/src/c/driver/postgresql/bind_stream.h          |  552 +----
 adbcpostgresql-0.15.0/adbcpostgresql/src/c/driver/postgresql/connection.cc          | 1086 ++++------
 adbcpostgresql-0.15.0/adbcpostgresql/src/c/driver/postgresql/connection.h           |    8 
 adbcpostgresql-0.15.0/adbcpostgresql/src/c/driver/postgresql/copy/reader.h          |    5 
 adbcpostgresql-0.15.0/adbcpostgresql/src/c/driver/postgresql/copy/writer.h          |   10 
 adbcpostgresql-0.15.0/adbcpostgresql/src/c/driver/postgresql/database.cc            |  269 +-
 adbcpostgresql-0.15.0/adbcpostgresql/src/c/driver/postgresql/database.h             |   23 
 adbcpostgresql-0.15.0/adbcpostgresql/src/c/driver/postgresql/error.cc               |   73 
 adbcpostgresql-0.15.0/adbcpostgresql/src/c/driver/postgresql/error.h                |   73 
 adbcpostgresql-0.15.0/adbcpostgresql/src/c/driver/postgresql/postgres_type.h        |   96 
 adbcpostgresql-0.15.0/adbcpostgresql/src/c/driver/postgresql/postgresql.cc          |   32 
 adbcpostgresql-0.15.0/adbcpostgresql/src/c/driver/postgresql/result_helper.cc       |   89 
 adbcpostgresql-0.15.0/adbcpostgresql/src/c/driver/postgresql/result_helper.h        |   86 
 adbcpostgresql-0.15.0/adbcpostgresql/src/c/driver/postgresql/result_reader.cc       |  108 
 adbcpostgresql-0.15.0/adbcpostgresql/src/c/driver/postgresql/result_reader.h        |   29 
 adbcpostgresql-0.15.0/adbcpostgresql/src/c/driver/postgresql/statement.cc           |  296 +-
 adbcpostgresql-0.15.0/adbcpostgresql/src/c/driver/postgresql/statement.h            |   24 
 adbcpostgresql-0.15.0/adbcpostgresql/src/c/driver/sqlite/sqlite.cc                  |   62 
 adbcpostgresql-0.15.0/adbcpostgresql/src/c/driver/sqlite/statement_reader.c         |   19 
 adbcpostgresql-0.15.0/adbcpostgresql/src/c/driver/sqlite/statement_reader.h         |    5 
 adbcpostgresql-0.15.0/adbcpostgresql/src/c/driver_manager/adbc_driver_manager.cc    |   63 
 adbcpostgresql-0.15.0/adbcpostgresql/src/c/include/arrow-adbc/adbc.h                |    2 
 adbcpostgresql-0.15.0/adbcpostgresql/src/c/include/arrow-adbc/adbc_driver_manager.h |    5 
 adbcpostgresql-0.15.0/adbcpostgresql/src/c/validation/adbc_validation.h             |   54 
 adbcpostgresql-0.15.0/adbcpostgresql/src/c/validation/adbc_validation_connection.cc |   35 
 adbcpostgresql-0.15.0/adbcpostgresql/src/c/validation/adbc_validation_statement.cc  |  147 +
 adbcpostgresql-0.15.0/adbcpostgresql/src/c/validation/adbc_validation_util.cc       |   60 
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 adbcpostgresql-0.15.0/adbcpostgresql/src/c/vendor/nanoarrow/nanoarrow.c             |  701 +++++-
 adbcpostgresql-0.15.0/adbcpostgresql/src/c/vendor/nanoarrow/nanoarrow.h             |  602 ++++-
 adbcpostgresql-0.15.0/adbcpostgresql/src/c/vendor/nanoarrow/nanoarrow.hpp           |   13 
 51 files changed, 3299 insertions(+), 2011 deletions(-)

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Package mlr3pipelines updated to version 0.7.1 with previous version 0.7.0 dated 2024-09-24

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], Keno Mersmann [ctb], Maximilian Muecke [ctb] , Lona Koers [ctb]
Maintainer: Martin Binder <mlr.developer@mb706.com>

Diff between mlr3pipelines versions 0.7.0 dated 2024-09-24 and 0.7.1 dated 2024-11-14

 DESCRIPTION                                   |   31 +-
 MD5                                           |  274 +++++++++++++-------------
 NAMESPACE                                     |    8 
 NEWS.md                                       |   16 +
 R/Graph.R                                     |    5 
 R/GraphLearner.R                              |   89 ++++++--
 R/PipeOpADAS.R                                |    4 
 R/PipeOpBLSmote.R                             |    4 
 R/PipeOpBoxCox.R                              |    5 
 R/PipeOpClassifAvg.R                          |    4 
 R/PipeOpEncodeLmer.R                          |    6 
 R/PipeOpFilter.R                              |    6 
 R/PipeOpICA.R                                 |    4 
 R/PipeOpImputeLearner.R                       |    4 
 R/PipeOpKernelPCA.R                           |    4 
 R/PipeOpLearner.R                             |    4 
 R/PipeOpLearnerCV.R                           |    4 
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 R/PipeOpOVR.R                                 |    8 
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 R/PipeOpSmote.R                               |    4 
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 R/PipeOpTuneThreshold.R                       |    8 
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 R/PipeOpYeoJohnson.R                          |    4 
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 R/bibentries.R                                |   39 +++
 R/mlr_graphs.R                                |    4 
 R/mlr_pipeops.R                               |    4 
 R/pipeline_bagging.R                          |    4 
 R/pipeline_ovr.R                              |    4 
 R/pipeline_robustify.R                        |    4 
 R/pipeline_stacking.R                         |    6 
 R/pipeline_targettrafo.R                      |    4 
 R/po.R                                        |    4 
 R/ppl.R                                       |    4 
 R/utils.R                                     |   31 --
 R/zzz.R                                       |    1 
 man/Graph.Rd                                  |    5 
 man/PipeOp.Rd                                 |    4 
 man/PipeOpEnsemble.Rd                         |    4 
 man/PipeOpImpute.Rd                           |    4 
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 man/PipeOpTaskPreproc.Rd                      |    4 
 man/PipeOpTaskPreprocSimple.Rd                |    4 
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 man/mlr_graphs.Rd                             |    4 
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 man/mlr_learners_graph.Rd                     |   40 ++-
 man/mlr_pipeops.Rd                            |    8 
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 man/mlr_pipeops_scalemaxabs.Rd                |    4 
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 man/mlr_pipeops_select.Rd                     |    4 
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 man/mlr_pipeops_subsample.Rd                  |    4 
 man/mlr_pipeops_targetinvert.Rd               |    4 
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 man/mlr_pipeops_targettrafoscalerange.Rd      |    8 
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 man/mlr_pipeops_unbranch.Rd                   |    4 
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 man/po.Rd                                     |    4 
 man/ppl.Rd                                    |    4 
 tests/testthat/test_GraphLearner.R            |   36 ++-
 tests/testthat/test_dictionary.R              |    6 
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 tests/testthat/test_pipeop_learnerquantiles.R |only
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 tests/testthat/test_pipeop_tomek.R            |only
 145 files changed, 782 insertions(+), 430 deletions(-)

More information about mlr3pipelines at CRAN
Permanent link

Package gsDesign updated to version 3.6.5 with previous version 3.6.4 dated 2024-07-26

Title: Group Sequential Design
Description: Derives group sequential clinical trial designs and describes their properties. Particular focus on time-to-event, binary, and continuous outcomes. Largely based on methods described in Jennison, Christopher and Turnbull, Bruce W., 2000, "Group Sequential Methods with Applications to Clinical Trials" ISBN: 0-8493-0316-8.
Author: Keaven Anderson [aut, cre], Merck & Co., Inc., Rahway, NJ, USA and its affiliates [cph]
Maintainer: Keaven Anderson <keaven_anderson@merck.com>

Diff between gsDesign versions 3.6.4 dated 2024-07-26 and 3.6.5 dated 2024-11-14

 DESCRIPTION                                    |   16 
 MD5                                            |   48 -
 NEWS.md                                        |   21 
 R/toInteger.R                                  |   83 +-
 build/vignette.rds                             |binary
 inst/doc/ConditionalErrorSpending.html         |  825 ++++++++++++------------
 inst/doc/ConditionalPowerPlot.html             |  183 ++---
 inst/doc/GentleIntroductionToGSD.html          |  162 ++--
 inst/doc/PoissonMixtureModel.html              |  287 ++++----
 inst/doc/SpendingFunctionOverview.html         |    3 
 inst/doc/SurvivalOverview.R                    |    2 
 inst/doc/SurvivalOverview.html                 |  328 ++++-----
 inst/doc/VaccineEfficacy.html                  |  717 ++++++++++----------
 inst/doc/binomialSPRTExample.html              |  321 ++++-----
 inst/doc/gsDesignPackageOverview.html          |   51 -
 inst/doc/gsSurvBasicExamples.R                 |   26 
 inst/doc/gsSurvBasicExamples.html              |  857 ++++++++++++-------------
 inst/doc/nNormal.html                          |  109 +--
 inst/doc/toInteger.R                           |   73 --
 inst/doc/toInteger.Rmd                         |  108 +--
 inst/doc/toInteger.html                        |  259 +++----
 man/gsDesign-package.Rd                        |    5 
 man/toInteger.Rd                               |   54 +
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 tests/testthat/test-independent-test-as_rtf.R  |only
 vignettes/toInteger.Rmd                        |  108 +--
 26 files changed, 2305 insertions(+), 2341 deletions(-)

More information about gsDesign at CRAN
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Package openxlsx2 updated to version 1.11 with previous version 1.10 dated 2024-10-17

Title: Read, Write and Edit 'xlsx' Files
Description: Simplifies the creation of 'xlsx' files by providing a high level interface to writing, styling and editing worksheets.
Author: Jordan Mark Barbone [aut] , Jan Marvin Garbuszus [aut, cre], Olivier Roy [ctb], openxlsx authors [cph] , Arseny Kapoulkine [ctb, cph]
Maintainer: Jan Marvin Garbuszus <jan.garbuszus@ruhr-uni-bochum.de>

Diff between openxlsx2 versions 1.10 dated 2024-10-17 and 1.11 dated 2024-11-14

 DESCRIPTION                          |    6 
 MD5                                  |   56 ++++-----
 NEWS.md                              |   14 ++
 R/RcppExports.R                      |   12 -
 R/class-workbook-wrappers.R          |   55 ++++++++
 R/class-workbook.R                   |   42 ++++--
 R/converters.R                       |    2 
 R/helper-functions.R                 |   10 +
 R/read.R                             |    2 
 R/utils.R                            |    1 
 R/wb_functions.R                     |    4 
 R/wb_styles.R                        |    7 -
 R/write.R                            |   15 +-
 build/vignette.rds                   |binary
 inst/WORDLIST                        |    1 
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Package interfacer updated to version 0.3.2 with previous version 0.2.3 dated 2024-08-01

Title: Define and Enforce Contracts for Dataframes as Function Parameters
Description: A dataframe validation framework for package builders who use dataframes as function parameters. It performs checks on column names, coerces data-types, and checks grouping to make sure user inputs conform to a specification provided by the package author. It provides a mechanism for package authors to automatically document supported dataframe inputs and selectively dispatch to functions depending on the format of a dataframe much like S3 does for classes. It also contains some developer tools to make working with and documenting dataframe specifications easier. It helps package developers to improve their documentation and simplifies parameter validation where dataframes are used as function parameters.
Author: Robert Challen [aut, cre, cph]
Maintainer: Robert Challen <rob.challen@bristol.ac.uk>

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Package spatPomp updated to version 1.0.0 with previous version 0.36.1 dated 2024-08-20

Title: Inference for Spatiotemporal Partially Observed Markov Processes
Description: Inference on panel data using spatiotemporal partially-observed Markov process (SpatPOMP) models. The 'spatPomp' package extends 'pomp' to include algorithms taking advantage of the spatial structure in order to assist with handling high dimensional processes. See Asfaw et al. (2024) <doi:10.48550/arXiv.2101.01157> for further description of the package.
Author: Kidus Asfaw [aut], Edward Ionides [cre, aut], Aaron A. King [aut], Allister Ho [ctb], Joonha Park [ctb], Jesse Wheeler [ctb], Jifan Li [ctb], Ning Ning [ctb], Haogao Gu [ctb]
Maintainer: Edward Ionides <ionides@umich.edu>

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Package Qindex updated to version 0.1.7 with previous version 0.1.6 dated 2024-10-07

Title: Continuous and Dichotomized Index Predictors Based on Distribution Quantiles
Description: Select optimal functional regression or dichotomized quantile predictors for survival/logistic/numeric outcome and perform optimistic bias correction for any optimally dichotomized numeric predictor(s), as in Yi, et. al. (2023) <doi:10.1016/j.labinv.2023.100158>.
Author: Tingting Zhan [aut, cre, cph] , Misung Yi [aut, cph] , Inna Chervoneva [aut, cph]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>

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Package crumble updated to version 0.1.1 with previous version 0.1.0 dated 2024-09-18

Title: Flexible and General Mediation Analysis Using Riesz Representers
Description: Implements a modern, unified estimation strategy for common mediation estimands (natural effects, organic effects, interventional effects, and recanting twins) in combination with modified treatment policies as described in Liu, Williams, Rudolph, and Díaz (2024) <doi:10.48550/arXiv.2408.14620>. Estimation makes use of recent advancements in Riesz-learning to estimate a set of required nuisance parameters with deep learning. The result is the capability to estimate mediation effects with binary, categorical, continuous, or multivariate exposures with high-dimensional mediators and mediator-outcome confounders using machine learning.
Author: Nicholas Williams [aut, cre, cph] , Richard Liu [ctb], Ivan Diaz [aut, cph]
Maintainer: Nicholas Williams <ntwilliams.personal@gmail.com>

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Package excessmort updated to version 0.8.0 with previous version 0.7.0 dated 2024-03-13

Title: Excess Mortality
Description: Implementation of method for estimating excess mortality and other health related outcomes from weekly or daily count data described in Acosta and Irizarry (2021) "A Flexible Statistical Framework for Estimating Excess Mortality".
Author: Rafael A. Irizarry [aut, cre], Rolando Acosta [aut], Monica Robles-Fontan [aut], Ferenci Tamas [ctb]
Maintainer: Rafael A. Irizarry <rafael_irizarry@dfci.harvard.edu>

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Package yamlet updated to version 1.1.5 with previous version 1.1.4 dated 2024-10-21

Title: Versatile Curation of Table Metadata
Description: A YAML-based mechanism for working with table metadata. Supports compact syntax for creating, modifying, viewing, exporting, importing, displaying, and plotting metadata coded as column attributes. The 'yamlet' dialect is valid 'YAML' with defaults and conventions chosen to improve readability. See ?yamlet, ?decorate, ?modify, ?io_csv, and ?ggplot.decorated.
Author: Tim Bergsma [aut, cre]
Maintainer: Tim Bergsma <bergsmat@gmail.com>

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Package ukbnmr updated to version 3.2.0 with previous version 2.2 dated 2023-08-23

Title: Removal of Unwanted Technical Variation from UK Biobank NMR Metabolomics Biomarker Data
Description: A suite of utilities for working with the UK Biobank <https://www.ukbiobank.ac.uk/> Nuclear Magnetic Resonance spectroscopy (NMR) metabolomics data <https://biobank.ndph.ox.ac.uk/showcase/label.cgi?id=220>. Includes functions for extracting biomarkers from decoded UK Biobank field data, removing unwanted technical variation from biomarker concentrations, computing an extended set of lipid, fatty acid, and cholesterol fractions, and for re-deriving composite biomarkers and ratios after adjusting data for unwanted biological variation. For further details on methods see Ritchie SC et al. Sci Data (2023) <doi:10.1038/s41597-023-01949-y>.
Author: Scott C Ritchie [aut, cre]
Maintainer: Scott C Ritchie <sritchie73@gmail.com>

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Package tablet updated to version 0.6.12 with previous version 0.6.11 dated 2024-10-25

Title: Tabulate Descriptive Statistics in Multiple Formats
Description: Creates a table of descriptive statistics for factor and numeric columns in a data frame. Displays these by groups, if any. Highly customizable, with support for 'html' and 'pdf' provided by 'kableExtra'. Respects original column order, column labels, and factor level order. See ?tablet.data.frame and vignettes.
Author: Tim Bergsma [aut, cre]
Maintainer: Tim Bergsma <bergsmat@gmail.com>

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Package NMsim updated to version 0.1.5 with previous version 0.1.4 dated 2024-11-01

Title: Seamless 'Nonmem' Simulation Platform
Description: A complete and seamless 'Nonmem' simulation interface within R. Turns 'Nonmem' control streams into simulation control streams, executes them with specified simulation input data and returns the results. The simulation is performed by 'Nonmem', eliminating manual work and risks of re-implementation of models in other tools.
Author: Philip Delff [aut, cre], Brian Reilly [ctb], Sanaya Shroff [ctb]
Maintainer: Philip Delff <philip@delff.dk>

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Package yahoofinancer updated to version 0.4.0 with previous version 0.3.0 dated 2024-02-03

Title: Fetch Data from Yahoo Finance API
Description: Obtain historical and near real time data related to stocks, index and currencies from the Yahoo Finance API. This package is community maintained and is not officially supported by 'Yahoo'. The accuracy of data is only as correct as provided on <https://finance.yahoo.com/>.
Author: Aravind Hebbali [aut, cre]
Maintainer: Aravind Hebbali <hebbali.aravind@gmail.com>

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Package nanonext updated to version 1.3.2 with previous version 1.3.1 dated 2024-11-13

Title: NNG (Nanomsg Next Gen) Lightweight Messaging Library
Description: R binding for NNG (Nanomsg Next Gen), a successor to ZeroMQ. NNG is a socket library implementing 'Scalability Protocols', a reliable, high-performance standard for common communications patterns including publish/subscribe, request/reply and service discovery, over in-process, IPC, TCP, WebSocket and secure TLS transports. As its own threaded concurrency framework, provides a toolkit for asynchronous programming and distributed computing, with intuitive 'aio' objects which resolve automatically upon completion of asynchronous operations, and synchronisation primitives allowing R to wait upon events signalled by concurrent threads.
Author: Charlie Gao [aut, cre] , Hibiki AI Limited [cph], R Consortium [fnd]
Maintainer: Charlie Gao <charlie.gao@shikokuchuo.net>

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Package CopulaCenR updated to version 1.2.4 with previous version 1.2.3 dated 2023-09-23

Title: Copula-Based Regression Models for Multivariate Censored Data
Description: Copula-based regression models for multivariate censored data, including bivariate right-censored data, bivariate interval-censored data, and right/interval-censored semi-competing risks data. Currently supports Clayton, Gumbel, Frank, Joe, AMH and Copula2 copula models. For marginal models, it supports parametric (Weibull, Loglogistic, Gompertz) and semiparametric (Cox and transformation) models. Includes methods for convenient prediction and plotting. Also provides a bivariate time-to-event simulation function and an information ratio-based goodness-of-fit test for copula. Method details can be found in Sun et.al (2019) Lifetime Data Analysis, Sun et.al (2021) Biostatistics, Sun et.al (2022) Statistical Methods in Medical Research, Sun et.al (2022) Biometrics, and Sun et al. (2023+) JRSSC.
Author: Tao Sun [aut, cre] , Ying Ding [aut]
Maintainer: Tao Sun <sun.tao@ruc.edu.cn>

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Package svMisc updated to version 1.4.3 with previous version 1.2.3 dated 2021-10-11

Title: Miscellaneous Functions for 'SciViews::R'
Description: Functions required for the 'SciViews::R' dialect or for general use: manage a temporary environment attached to the search path, define synonyms for R functions using aka(), test if 'Aqua', 'Mac', 'Win' ... Show progress bar, etc.
Author: Philippe Grosjean [aut, cre] , Romain Francois [ctb], Kamil Barton [ctb]
Maintainer: Philippe Grosjean <phgrosjean@sciviews.org>

Diff between svMisc versions 1.2.3 dated 2021-10-11 and 1.4.3 dated 2024-11-14

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Package spant updated to version 2.24.0 with previous version 2.23.0 dated 2024-08-27

Title: MR Spectroscopy Analysis Tools
Description: Tools for reading, visualising and processing Magnetic Resonance Spectroscopy data. The package includes methods for spectral fitting: Wilson (2021) <DOI:10.1002/mrm.28385> and spectral alignment: Wilson (2018) <DOI:10.1002/mrm.27605>.
Author: Martin Wilson [cre, aut] , Yong Wang [ctb], John Muschelli [ctb]
Maintainer: Martin Wilson <martin@pipegrep.co.uk>

Diff between spant versions 2.23.0 dated 2024-08-27 and 2.24.0 dated 2024-11-14

 DESCRIPTION                           |   14 +--
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 NEWS.md                               |    5 +
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Package graphicalExtremes updated to version 0.3.3 with previous version 0.3.2 dated 2024-04-18

Title: Statistical Methodology for Graphical Extreme Value Models
Description: Statistical methodology for sparse multivariate extreme value models. Methods are provided for exact simulation and statistical inference for multivariate Pareto distributions on graphical structures as described in the paper 'Graphical Models for Extremes' by Engelke and Hitz (2020) <doi:10.1111/rssb.12355>.
Author: Sebastian Engelke [aut, cre], Adrien S. Hitz [aut], Nicola Gnecco [aut], Manuel Hentschel [aut]
Maintainer: Sebastian Engelke <sebastian.engelke@unige.ch>

Diff between graphicalExtremes versions 0.3.2 dated 2024-04-18 and 0.3.3 dated 2024-11-14

 DESCRIPTION                         |   12 ++++----
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