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>

Diff between LCCR versions 1.3 dated 2021-12-04 and 2.0 dated 2024-11-20

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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>

Diff between AdverseEvents versions 0.0.3 dated 2024-11-04 and 0.0.4 dated 2024-11-20

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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>

Diff between suntools versions 1.0.0 dated 2023-07-06 and 1.0.1 dated 2024-11-20

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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>

Diff between laminr versions 0.1.0 dated 2024-11-10 and 0.2.0 dated 2024-11-20

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New package quantsig with initial version 0.1.0
Package: quantsig
Title: Sigmoidal Quantile Function Estimator
Version: 0.1.0
Maintainer: Han Yu <han.yu@roswellpark.org>
Description: A sigmoidal quantile function estimator based on a newly defined generalized expectile function. The generalized sigmoidal quantile function can estimate quantiles beyond the range of the data, which is important for certain applications given smaller sample sizes. The package is based on the method introduced in Hutson (2024) <doi:10.1080/03610918.2022.2032161>.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-11-20 01:33:30 UTC; ha31006
Author: Alan Hutson [aut], Han Yu [cre]
Repository: CRAN
Date/Publication: 2024-11-20 19:30:02 UTC

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New package gerda with initial version 0.1.0
Package: gerda
Title: German Election Database (GERDA)
Version: 0.1.0
Description: Provides tools to download comprehensive datasets of local, state, and federal election results in Germany from 1990 to 2021. The package facilitates access to data on turnout, vote shares for major parties, and demographic information across different levels of government (municipal, state, and federal). It offers access to geographically harmonized datasets that account for changes in municipal boundaries over time and incorporate mail-in voting districts. Users can easily retrieve, clean, and standardize German electoral data, making it ready for analysis. Data is sourced from <http://www.german-elections.com>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 2.10)
Imports: stringdist, dplyr, readr, knitr, tibble
Suggests: rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/hhilbig/gerda
BugReports: https://github.com/hhilbig/gerda/issues
VignetteBuilder: knitr
Maintainer: Hanno Hilbig <hhilbig@ucdavis.edu>
NeedsCompilation: no
Packaged: 2024-11-19 16:38:56 UTC; hanno
Author: Hanno Hilbig [aut, cre]
Repository: CRAN
Date/Publication: 2024-11-20 19:10:01 UTC

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New package cellularautomata with initial version 0.1.0
Package: cellularautomata
Title: Cellular Automata
Version: 0.1.0
Maintainer: Vlad Tarko <vladtarko@gmail.com>
Description: Create cellular automata from 'Wolfram' rules. Allows the creation of 'Wolfram' style plots, as well as of animations. Easy to create multiple plots, for example the output of a rule with different initial states, or the output of many different rules from the same state. The output of a cellular automaton is given as a matrix, making it easy to try to explore the possibility of predicting its time evolution using various statistical tools available in R. Wolfram S. (2002, ISBN:1579550088) "A New Kind of Science".
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
Imports: gganimate, ggplot2, patchwork, purrr, rlang
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2024-11-19 16:03:48 UTC; vladtarko
Author: Vlad Tarko [aut, cre]
Repository: CRAN
Date/Publication: 2024-11-20 19:10:06 UTC

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New package sampledatasets with initial version 0.1.0
Package: sampledatasets
Title: A Collection of Sample Datasets
Version: 0.1.0
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>
Description: Provides a collection of sample datasets on various fields such as automotive performance and safety data to historical demographics and socioeconomic indicators, as well as recreational data. It serves as a resource for researchers and analysts seeking to perform analyses and derive insights from classic data sets in R.
License: GPL-3
URL: https://github.com/lightbluetitan/sampledatasets
Encoding: UTF-8
LazyData: true
Suggests: ggplot2, dplyr, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-11-19 15:43:53 UTC; renzorossiv
Author: Renzo Caceres Rossi [aut, cre]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2024-11-20 19:00:02 UTC

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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>

Diff between TWW versions 0.0.1 dated 2024-09-02 and 0.1.0 dated 2024-11-20

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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>

Diff between EGRET versions 3.0.9 dated 2023-04-18 and 3.0.10 dated 2024-11-20

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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>

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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>

Diff between era versions 0.4.1 dated 2022-11-17 and 0.5.0 dated 2024-11-20

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 NAMESPACE                           |    4 
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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>

Diff between vaxpmx versions 0.0.3 dated 2024-02-28 and 0.0.6 dated 2024-11-20

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 17 files changed, 169 insertions(+), 43 deletions(-)

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New package Certara.RsNLME with initial version 3.0.1
Package: Certara.RsNLME
Title: Pharmacometric Modeling
Version: 3.0.1
Description: Facilitate Pharmacokinetic (PK) and Pharmacodynamic (PD) modeling and simulation with powerful tools for Nonlinear Mixed-Effects (NLME) modeling. The package provides access to the same advanced Maximum Likelihood algorithms used by the NLME-Engine in the Phoenix platform. These tools support a range of analyses, from parametric methods to individual and pooled data analysis <https://www.certara.com/app/uploads/2020/06/BR_PhoenixNLME-v4.pdf>. Execution is supported both locally or on remote machines.
Depends: R (>= 4.0)
License: LGPL-3
URL: https://certara.github.io/R-RsNLME/
Encoding: UTF-8
LazyData: true
Suggests: rlang, knitr, rmarkdown, testthat, magrittr
Imports: xml2, assertthat, Certara.NLME8, data.table, jsonlite, methods, utils, ssh
NeedsCompilation: no
Packaged: 2024-11-19 15:11:50 UTC; jcraig
Author: James Craig [aut, cre], Michael Tomashevskiy [aut], Vitalii Nazarov [aut], Shuhua Hu [ctb], Soltanshahi Fred [aut], Certara USA, Inc. [cph, fnd]
Maintainer: James Craig <james.craig@certara.com>
Repository: CRAN
Date/Publication: 2024-11-20 11:20:02 UTC

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New package SVEMnet with initial version 1.0.3
Package: SVEMnet
Title: Self-Validated Ensemble Models with Elastic Net Regression
Version: 1.0.3
Date: 2024-11-18
Maintainer: Andrew T. Karl <akarl@asu.edu>
Description: Implements Self-Validated Ensemble Models (SVEM, Lemkus et al. (2021) <doi:10.1016/j.chemolab.2021.104439>) using Elastic Net regression via 'glmnet' (Friedman et al. <doi:10.18637/jss.v033.i01>). SVEM averages predictions from multiple models fitted to fractionally weighted bootstraps of the data, tuned with anti-correlated validation weights. Also implements the randomized permutation whole model test for SVEM (Karl (2024) <doi:10.1016/j.chemolab.2024.105122>). Code for the whole model test was taken from the supplementary material of Karl (2024). Development of this package was assisted by 'GPT o1-preview' for code structure and documentation.
Depends: R (>= 3.5.0)
Imports: glmnet, stats, gamlss, gamlss.dist, ggplot2, lhs
License: GPL-2 | GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-11-19 10:06:13 UTC; andre
Author: Andrew T. Karl [cre, aut]
Repository: CRAN
Date/Publication: 2024-11-20 10:30:02 UTC

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New package psc with initial version 1.0.0
Package: psc
Title: Personalised Synthetic Controls
Version: 1.0.0
Maintainer: Richard Jackson <richJ23@liverpool.ac.uk>
Description: Allows the comparison of data cohorts (DC) against a Counter Factual Model (CFM) and measures the difference in terms of an efficacy parameter. Allows the application of Personalised Synthetic Controls.
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/richjjackson/psc/
BugReports: https://github.com/richJJackson/psc/issues
Depends: R (>= 3.5.0)
Imports: mvtnorm, survival, enrichwith, stats, flexsurv
Suggests: knitr, rmarkdown, devtools
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-11-19 10:15:28 UTC; richardjackson
Author: Richard Jackson [cre, aut]
Repository: CRAN
Date/Publication: 2024-11-20 10:40:02 UTC

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New package OpeNoise with initial version 0.2-18
Package: OpeNoise
Title: Environmental Noise Pollution Data Analysis
Version: 0.2-18
Maintainer: Pasquale Scordino <scordino.pasquale@gmail.com>
Imports: tidyr, lubridate, ggplot2, pracma
Description: Provides analyse, interpret and understand noise pollution data. Data are typically regular time series measured with sound meter. The package is partially described in Fogola, Grasso, Masera and Scordino (2023, <DOI:10.61782/fa.2023.0063>).
Depends: R (>= 3.5.0)
License: GPL (>= 3)
URL: https://arpapiemonte.github.io/openoise-analysis/, https://github.com/Arpapiemonte/openoise-analysis/
BugReports: https://github.com/Arpapiemonte/openoise-analysis/issues/
Encoding: UTF-8
LazyData: TRUE
Suggests: rmarkdown, htmltools, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-11-19 12:49:48 UTC; pakosko
Author: Pasquale Scordino [aut, cre], Simone Sperotto [ctb], Stefano Masera [ctb], Daniele Grasso [ctb], Jacopo Fogola [ctb]
Repository: CRAN
Date/Publication: 2024-11-20 10:40:10 UTC

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New package lwc2022 with initial version 1.0.0
Package: lwc2022
Title: Langa-Weir Classification of Cognitive Function for 2022 HRS Data
Version: 1.0.0
URL: https://github.com/C-Monaghan/lwc2022, https://c-monaghan.github.io/lwc2022/
BugReports: https://github.com/C-Monaghan/lwc2022/issues
Language: en-US
Description: Generates the Langa-Weir classification of cognitive function for the 2022 Health and Retirement Study (HRS) cognition data. It is particularly useful for researchers studying cognitive aging who wish to work with the most recent release of HRS data. The package provides user-friendly functions for data preprocessing, scoring, and classification allowing users to easily apply the Langa-Weir classification system. For details regarding the; HRS <https://hrsdata.isr.umich.edu/> and Langa-Weir classifications <https://hrsdata.isr.umich.edu/data-products/langa-weir-classification-cognitive-function-1995-2020>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 2.10)
Imports: dplyr
Suggests: knitr
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-11-19 12:25:48 UTC; corma
Author: Cormac Monaghan [cph, aut, cre] , Rafael de Andrade Moral [aut] , Joanna McHugh Power [aut]
Maintainer: Cormac Monaghan <cormacmonaghan@protonmail.com>
Repository: CRAN
Date/Publication: 2024-11-20 10:40:07 UTC

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New package BioVizSeq with initial version 0.1.0
Package: BioVizSeq
Title: Visualizing the Elements Within Bio-Sequences
Version: 0.1.0
Maintainer: Shiqi Zhao <zhaosq89@163.com>
Description: Visualizing the types and distribution of elements within bio-sequences. At the same time, We have developed a geom layer, geom_rrect(), that can generate rounded rectangles. No external references are used in the development of this package.
License: Artistic-2.0
Encoding: UTF-8
Language: en-US
Imports: dplyr, ggplot2, httr, RColorBrewer, seqinr, stringr, tidyr, magrittr
NeedsCompilation: no
Packaged: 2024-11-19 10:08:10 UTC; zhaoshiqi
Author: Shiqi Zhao [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-11-20 10:40:14 UTC

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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>

Diff between grates versions 1.2.2 dated 2024-08-29 and 1.3.0 dated 2024-11-20

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New package cbioportalR with initial version 1.1.1
Package: cbioportalR
Title: Browse and Query Clinical and Genomic Data from cBioPortal
Version: 1.1.1
Description: Provides R users with direct access to genomic and clinical data from the 'cBioPortal' web resource via user-friendly functions that wrap 'cBioPortal's' existing API endpoints <https://www.cbioportal.org/api/swagger-ui/index.html>. Users can browse and query genomic data on mutations, copy number alterations and fusions, as well as data on tumor mutational burden ('TMB'), microsatellite instability status ('MSI'), 'FACETS' and select clinical data points (depending on the study). See <https://www.cbioportal.org/> and Gao et al., (2013) <doi:10.1126/scisignal.2004088> for more information on the cBioPortal web resource.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: testthat (>= 3.1.4), knitr (>= 1.39), rmarkdown (>= 2.14), covr (>= 3.5.1), spelling
Depends: R (>= 2.10)
Imports: httr (>= 1.4.3), tibble (>= 3.1.7), purrr (>= 0.3.4), magrittr (>= 2.0.3), rlang (>= 1.0.3), glue (>= 1.6.2), jsonlite (>= 1.8.0), tidyr (>= 1.2.0), dplyr (>= 1.0.9), stringr (>= 1.4.0), cli (>= 3.3.0)
VignetteBuilder: knitr
URL: https://github.com/karissawhiting/cbioportalR, https://www.karissawhiting.com/cbioportalR/
BugReports: https://github.com/karissawhiting/cbioportalR/issues
Language: en-US
NeedsCompilation: no
Packaged: 2024-11-19 21:02:33 UTC; kwhiting
Author: Karissa Whiting [aut, cre, cph]
Maintainer: Karissa Whiting <karissa.whiting@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-20 09:30:02 UTC

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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>

Diff between argparse versions 2.2.3 dated 2024-04-09 and 2.2.4 dated 2024-11-20

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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>

Diff between targets versions 1.8.0 dated 2024-10-02 and 1.9.0 dated 2024-11-20

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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 ResearchAssociate (with last version 1.0.1) was removed from CRAN

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

2020-12-15 1.0.1
2020-12-09 1.0.0
2020-11-25 0.0.1

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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 MBNMAtime (with last version 0.2.4) was removed from CRAN

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

2023-10-14 0.2.4
2023-03-17 0.2.3

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Package MBNMAdose (with last version 0.4.3) was removed from CRAN

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

2024-04-18 0.4.3
2023-08-08 0.4.2
2022-02-24 0.4.1
2020-09-10 0.3.0
2020-03-02 0.2.7
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2019-07-23 0.2.2

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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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