Sat, 23 Nov 2024

Package qtl2fst updated to version 0.30 with previous version 0.28 dated 2024-07-16

Title: Database Storage of Genotype Probabilities for QTL Mapping
Description: Uses the 'fst' package to store genotype probabilities on disk for the 'qtl2' package. These genotype probabilities are a central data object for mapping quantitative trait loci (QTL), but they can be quite large. The facilities in this package enable the genotype probabilities to be stored on disk, leading to reduced memory usage with only a modest increase in computation time.
Author: Karl W Broman [aut, cre] , Brian S Yandell [aut] , Petr Simecek [aut]
Maintainer: Karl W Broman <broman@wisc.edu>

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Package predicts updated to version 0.1-17 with previous version 0.1-16 dated 2024-10-07

Title: Spatial Prediction Tools
Description: Methods for spatial predictive modeling, especially for spatial distribution models. This includes algorithms for model fitting and prediction, as well as methods for model evaluation.
Author: Robert J. Hijmans [cre, aut] , Steven Phillips [ctb], Marcia Barbosa [ctb], Chris Brunsdon [ctb], Barry Rowlingson [ctb]
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>

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Package DEoptimR updated to version 1.1-3-1 with previous version 1.1-3 dated 2023-10-07

Title: Differential Evolution Optimization in Pure R
Description: Differential Evolution (DE) stochastic heuristic algorithms for global optimization of problems with and without general constraints. The aim is to curate a collection of its variants that (1) do not sacrifice simplicity of design, (2) are essentially tuning-free, and (3) can be efficiently implemented directly in the R language. Currently, it provides implementations of the algorithms 'jDE' by Brest et al. (2006) <doi:10.1109/TEVC.2006.872133> for single-objective optimization and 'NCDE' by Qu et al. (2012) <doi:10.1109/TEVC.2011.2161873> for multimodal optimization (single-objective problems with multiple solutions).
Author: Eduardo L. T. Conceicao [aut, cre], Martin Maechler [ctb]
Maintainer: Eduardo L. T. Conceicao <mail@eduardoconceicao.org>

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Package forestdata updated to version 0.2.0 with previous version 0.1.0 dated 2024-09-10

Title: Download Forestry Data
Description: Functions for downloading forestry and land use data for use in spatial analysis. This packages offers a user-friendly solution to quickly obtain datasets such as forest height, forest types, tree species under various climate change scenarios, or land use data among others.
Author: Adrian Cidre Gonzalez [aut, cre]
Maintainer: Adrian Cidre Gonzalez <adrian.cidre@gmail.com>

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Package viscomplexr updated to version 1.1.2 with previous version 1.1.1 dated 2021-09-18

Title: Phase Portraits of Functions in the Complex Number Plane
Description: Functionality for creating phase portraits of functions in the complex number plane. Works with R base graphics, whose full functionality is available. Parallel processing is used for optimum performance.
Author: Peter Biber [aut, cre]
Maintainer: Peter Biber <castor.fiber@gmx.de>

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Package topics updated to version 0.21.0 with previous version 0.20.0 dated 2024-11-22

Title: Creating and Significance Testing Language Features for Visualisation
Description: Implements differential language analysis with statistical tests and offers various language visualization techniques for n-grams and topics. It also supports the 'text' package. For more information, visit <https://r-topics.org/> and <https://www.r-text.org/>.
Author: Leon Ackermann [aut] , Zhuojun Gu [aut] , Oscar Kjell [aut, cre]
Maintainer: Oscar Kjell <oscar.kjell@psy.lu.se>

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Package poolfstat updated to version 3.0.0 with previous version 2.2.0 dated 2023-09-06

Title: Computing f-Statistics and Building Admixture Graphs Based on Allele Count or Pool-Seq Read Count Data
Description: Functions for the computation of F-, f- and D-statistics (e.g., Fst, hierarchical F-statistics, Patterson's F2, F3, F3*, F4 and D parameters) in population genomics studies from allele count or Pool-Seq read count data and for the fitting, building and visualization of admixture graphs. The package also includes several utilities to manipulate Pool-Seq data stored in standard format (e.g., such as 'vcf' files or 'rsync' files generated by the the 'PoPoolation' software) and perform conversion to alternative format (as used in the 'BayPass' and 'SelEstim' software). As of version 2.0, the package also includes utilities to manipulate standard allele count data (e.g., stored in TreeMix, BayPass and SelEstim format).
Author: Mathieu Gautier [aut, cre]
Maintainer: Mathieu Gautier <mathieu.gautier@inrae.fr>

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Package multilevelcoda updated to version 1.3.1 with previous version 1.3.0.2 dated 2024-07-09

Title: Estimate Bayesian Multilevel Models for Compositional Data
Description: Implement Bayesian Multilevel Modelling for compositional data in a multilevel framework. Compute multilevel compositional data and Isometric log ratio (ILR) at between and within-person levels, fit Bayesian multilevel models for compositional predictors and outcomes, and run post-hoc analyses such as isotemporal substitution models. References: Le, Stanford, Dumuid, and Wiley (2024) <doi:10.48550/arXiv.2405.03985>, Le, Dumuid, Stanford, and Wiley (2024) <doi:10.48550/arXiv.2411.12407>.
Author: Flora Le [aut, cre] , Joshua F. Wiley [aut]
Maintainer: Flora Le <floralebui@gmail.com>

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Package jti updated to version 1.0.0 with previous version 0.8.4 dated 2022-04-12

Title: Junction Tree Inference
Description: Minimal and memory efficient implementation of the junction tree algorithm using the Lauritzen-Spiegelhalter scheme; S. L. Lauritzen and D. J. Spiegelhalter (1988) <https://www.jstor.org/stable/2345762?seq=1>. The jti package is part of the paper <doi:10.18637/jss.v111.i02>.
Author: Mads Lindskou [aut, cre]
Maintainer: Mads Lindskou <madslindskou@gmail.com>

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Package INFOSET updated to version 4.1 with previous version 4.0.6 dated 2024-09-06

Title: Computing a New Informative Distribution Set of Asset Returns
Description: Estimation of the most-left informative set of gross returns (i.e., the informative set). The procedure to compute the informative set adjusts the method proposed by Mariani et al. (2022a) <doi:10.1007/s11205-020-02440-6> and Mariani et al. (2022b) <doi:10.1007/s10287-022-00422-2> to gross returns of financial assets. This is accomplished through an adaptive algorithm that identifies sub-groups of gross returns in each iteration by approximating their distribution with a sequence of two-component log-normal mixtures. These sub-groups emerge when a significant change in the distribution occurs below the median of the financial returns, with their boundary termed as the “change point" of the mixture. The process concludes when no further change points are detected. The outcome encompasses parameters of the leftmost mixture distributions and change points of the analyzed financial time series. The functionalities of the INFOSET package include: (i) modelling asset distribution [...truncated...]
Author: Gloria Polinesi [aut, cre], Francesca Mariani [aut], Maria Cristina Recchioni [aut]
Maintainer: Gloria Polinesi <g.polinesi@staff.univpm.it>

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Package collapse updated to version 2.0.18 with previous version 2.0.17 dated 2024-11-03

Title: Advanced and Fast Data Transformation
Description: A C/C++ based package for advanced data transformation and statistical computing in R that is extremely fast, class-agnostic, robust and programmer friendly. Core functionality includes a rich set of S3 generic grouped and weighted statistical functions for vectors, matrices and data frames, which provide efficient low-level vectorizations, OpenMP multithreading, and skip missing values by default. These are integrated with fast grouping and ordering algorithms (also callable from C), and efficient data manipulation functions. The package also provides a flexible and rigorous approach to time series and panel data in R. It further includes fast functions for common statistical procedures, detailed (grouped, weighted) summary statistics, powerful tools to work with nested data, fast data object conversions, functions for memory efficient R programming, and helpers to effectively deal with variable labels, attributes, and missing data. It is well integrated with base R classes, 'dplyr'/' [...truncated...]
Author: Sebastian Krantz [aut, cre] , Matt Dowle [ctb], Arun Srinivasan [ctb], Morgan Jacob [ctb], Dirk Eddelbuettel [ctb], Laurent Berge [ctb], Kevin Tappe [ctb], R Core Team and contributors worldwide [ctb], Martyn Plummer [cph], 1999-2016 The R Core Team [...truncated...]
Maintainer: Sebastian Krantz <sebastian.krantz@graduateinstitute.ch>

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Package AllelicSeries updated to version 0.1.1.2 with previous version 0.1.1.1 dated 2024-11-21

Title: Allelic Series Test
Description: Implementation of gene-level rare variant association tests targeting allelic series: genes where increasingly deleterious mutations have increasingly large phenotypic effects. The COding-variant Allelic Series Test (COAST) operates on the benign missense variants (BMVs), deleterious missense variants (DMVs), and protein truncating variants (PTVs) within a gene. COAST uses a set of adjustable weights that tailor the test towards rejecting the null hypothesis for genes where the average magnitude of effect increases monotonically from BMVs to DMVs to PTVs. See McCaw ZR, O’Dushlaine C, Somineni H, Bereket M, Klein C, Karaletsos T, Casale FP, Koller D, Soare TW. (2023) "An allelic series rare variant association test for candidate gene discovery" <doi:10.1016/j.ajhg.2023.07.001>.
Author: Zachary McCaw [aut, cre] , Christoph Klein [ctb] , Thomas Soare [ctb] , Jianhui Gao [ctb] , insitro [cph]
Maintainer: Zachary McCaw <zmccaw@insitro.com>

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Package phylolm.hp updated to version 0.0-2 with previous version 0.0-1 dated 2024-11-13

Title: Hierarchical Partitioning of R2 for Phylogenetic Linear Regression
Description: Conducts hierarchical partitioning to calculate individual contributions of phylogenetic tree and predictors (groups) towards total R2 for phylogenetic linear regression models.
Author: Jiangshan Lai [aut, cre] , Gang Wang [aut]
Maintainer: Jiangshan Lai <lai@njfu.edu.cn>

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Package mlr3learners updated to version 0.9.0 with previous version 0.8.0 dated 2024-10-25

Title: Recommended Learners for 'mlr3'
Description: Recommended Learners for 'mlr3'. Extends 'mlr3' with interfaces to essential machine learning packages on CRAN. This includes, but is not limited to: (penalized) linear and logistic regression, linear and quadratic discriminant analysis, k-nearest neighbors, naive Bayes, support vector machines, and gradient boosting.
Author: Michel Lang [aut] , Quay Au [aut] , Stefan Coors [aut] , Patrick Schratz [aut] , Marc Becker [cre, aut]
Maintainer: Marc Becker <marcbecker@posteo.de>

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

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

2024-09-22 0.3.0
2024-09-19 0.2.0
2024-09-05 0.1.0

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Package nlmixr2est updated to version 3.0.2 with previous version 3.0.1 dated 2024-10-22

Title: Nonlinear Mixed Effects Models in Population PK/PD, Estimation Routines
Description: Fit and compare nonlinear mixed-effects models in differential equations with flexible dosing information commonly seen in pharmacokinetics and pharmacodynamics (Almquist, Leander, and Jirstrand 2015 <doi:10.1007/s10928-015-9409-1>). Differential equation solving is by compiled C code provided in the 'rxode2' package (Wang, Hallow, and James 2015 <doi:10.1002/psp4.12052>).
Author: Matthew Fidler [aut, cre] , Yuan Xiong [aut], Rik Schoemaker [aut] , Justin Wilkins [aut] , Wenping Wang [aut], Robert Leary [ctb], Mason McComb [ctb] , Vipul Mann [aut], Mirjam Trame [ctb], Mahmoud Abdelwahab [ctb], Teun Post [ctb], Richard Hooijmai [...truncated...]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

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Fri, 22 Nov 2024

Package photobiologyInOut updated to version 0.4.29 with previous version 0.4.28-1 dated 2024-09-14

Title: Read Spectral and Logged Data from Foreign Files
Description: Functions for reading, and in some cases writing, foreign files containing spectral data from spectrometers and their associated software, output from daylight simulation models in common use, and some spectral data repositories. As well as functions for exchange of spectral data with other R packages. Part of the 'r4photobiology' suite, Aphalo P. J. (2015) <doi:10.19232/uv4pb.2015.1.14>.
Author: Pedro J. Aphalo [aut, cre] , Titta K. Kotilainen [ctb] , Glenn Davis [ctb]
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>

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Package toxEval updated to version 1.4.0 with previous version 1.3.2 dated 2024-02-08

Title: Exploring Biological Relevance of Environmental Chemistry Observations
Description: Data analysis package for estimating potential biological effects from chemical concentrations in environmental samples. Included are a set of functions to analyze, visualize, and organize measured concentration data as it relates to user-selected chemical-biological interaction benchmark data such as water quality criteria. The intent of these analyses is to develop a better understanding of the potential biological relevance of environmental chemistry data. Results can be used to prioritize which chemicals at which sites may be of greatest concern. These methods are meant to be used as a screening technique to predict potential for biological influence from chemicals that ultimately need to be validated with direct biological assays. A description of the analysis can be found in Blackwell (2017) <doi:10.1021/acs.est.7b01613>.
Author: Laura DeCicco [aut, cre] , Steven Corsi [aut] , Daniel Villeneuve [aut] , Brett Blackwell [aut] , Gerald Ankley [aut] , Alison Appling [rev] , Dalma Martinovic [rev]
Maintainer: Laura DeCicco <ldecicco@usgs.gov>

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Package slendr updated to version 1.0.0 with previous version 0.9.1 dated 2024-02-21

Title: A Simulation Framework for Spatiotemporal Population Genetics
Description: A framework for simulating spatially explicit genomic data which leverages real cartographic information for programmatic and visual encoding of spatiotemporal population dynamics on real geographic landscapes. Population genetic models are then automatically executed by the 'SLiM' software by Haller et al. (2019) <doi:10.1093/molbev/msy228> behind the scenes, using a custom built-in simulation 'SLiM' script. Additionally, fully abstract spatial models not tied to a specific geographic location are supported, and users can also simulate data from standard, non-spatial, random-mating models. These can be simulated either with the 'SLiM' built-in back-end script, or using an efficient coalescent population genetics simulator 'msprime' by Baumdicker et al. (2022) <doi:10.1093/genetics/iyab229> with a custom-built 'Python' script bundled with the R package. Simulated genomic data is saved in a tree-sequence format and can be loaded, manipulated, and summarised using tree-sequen [...truncated...]
Author: Martin Petr [aut, cre]
Maintainer: Martin Petr <contact@bodkan.net>

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Package respirometry updated to version 2.0.1 with previous version 2.0.0 dated 2024-07-18

Title: Tools for Conducting and Analyzing Respirometry Experiments
Description: Provides tools to enable the researcher to more precisely conduct respirometry experiments. Strong emphasis is on aquatic respirometry. Tools focus on helping the researcher setup and conduct experiments. Functions for analysis of resulting respirometry data are also provided. This package provides tools for intermittent, flow-through, and closed respirometry techniques.
Author: Matthew A. Birk [aut, cre]
Maintainer: Matthew A. Birk <matthewabirk@gmail.com>

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Package mlr3tuningspaces updated to version 0.5.2 with previous version 0.5.1 dated 2024-06-21

Title: Search Spaces for 'mlr3'
Description: Collection of search spaces for hyperparameter optimization in the 'mlr3' ecosystem. It features ready-to-use search spaces for many popular machine learning algorithms. The search spaces are from scientific articles and work for a wide range of data sets.
Author: Marc Becker [cre, aut] , Michel Lang [ctb]
Maintainer: Marc Becker <marcbecker@posteo.de>

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Package Rveg updated to version 0.1.6 with previous version 0.1.5 dated 2024-06-26

Title: Digitization of Phytosociological Relevés
Description: Simple and fast tool for transforming phytosociological vegetation data into digital form for the following analysis. Danihelka, Chrtek, and Kaplan (2012, ISSN:00327786). Hennekens, and Schaminée (2001) <doi:10.2307/3237010>. Tichý (2002) <doi:10.1111/j.1654-1103.2002.tb02069.x>. Wickham, François, Henry, Müller (2022) <https://CRAN.R-project.org/package=dplyr>.
Author: Premysl Kral [aut, cre] , Jan Douda [aut]
Maintainer: Premysl Kral <kralp@fzp.czu.cz>

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Package NGLVieweR updated to version 1.4.0 with previous version 1.3.1 dated 2021-06-01

Title: Interactive 3D Visualization of Molecular Structures
Description: Provides an 'htmlwidgets' <https://www.htmlwidgets.org/> interface to 'NGL.js' <http://nglviewer.org/ngl/api/>. 'NGLvieweR' can be used to visualize and interact with protein databank ('PDB') and structural files in R and Shiny applications. It includes a set of API functions to manipulate the viewer after creation in Shiny.
Author: Niels van der Velden [aut, cre], Alexander Rose [cph]
Maintainer: Niels van der Velden <n.s.j.vandervelden@gmail.com>

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Package bayesammi updated to version 0.3.0 with previous version 0.2.0 dated 2024-10-15

Title: Bayesian Estimation of the Additive Main Effects and Multiplicative Interaction Model
Description: Performs Bayesian estimation of the additive main effects and multiplicative interaction (AMMI) model. The method is explained in Crossa, J., Perez-Elizalde, S., Jarquin, D., Cotes, J.M., Viele, K., Liu, G. and Cornelius, P.L. (2011) (<doi:10.2135/cropsci2010.06.0343>).
Author: Muhammad Yaseen [aut, cre], Jose Crossa [aut, ctb], Sergio Perez-Elizalde [aut, ctb], Diego Jarquin [aut, ctb], Jose Miguel Cotes [aut, ctb], Kert Viele [aut, ctb], Genzhou Liu [aut, ctb], Paul L. Cornelius [aut, ctb], Julian Garcia Abadillo Velasco [...truncated...]
Maintainer: Muhammad Yaseen <myaseen208@gmail.com>

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Package sleev updated to version 1.0.5 with previous version 1.0.3 dated 2023-07-10

Title: Semiparametric Likelihood Estimation with Errors in Variables
Description: Efficient regression analysis under general two-phase sampling, where Phase I includes error-prone data and Phase II contains validated data on a subset.
Author: Sarah Lotspeich [aut], Ran Tao [aut, cre], Joey Sherrill [prg], Jiangmei Xiong [ctb]
Maintainer: Ran Tao <r.tao@vanderbilt.edu>

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Package MSEtool updated to version 3.7.3 with previous version 3.7.2 dated 2024-09-23

Title: Management Strategy Evaluation Toolkit
Description: Development, simulation testing, and implementation of management procedures for fisheries (see Carruthers & Hordyk (2018) <doi:10.1111/2041-210X.13081>).
Author: Adrian Hordyk [aut, cre], Quang Huynh [aut], Tom Carruthers [aut], Chris Grandin [ctb]
Maintainer: Adrian Hordyk <adrian@bluematterscience.com>

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Package fastbeta updated to version 0.3.1 with previous version 0.3.0 dated 2024-05-17

Title: Fast Approximation of Time-Varying Infectious Disease Transmission Rates
Description: A fast method for approximating time-varying infectious disease transmission rates from disease incidence time series and other data, based on a discrete time approximation of an SEIR model, as analyzed in Jagan et al. (2020) <doi:10.1371/journal.pcbi.1008124>.
Author: Mikael Jagan [aut, cre]
Maintainer: Mikael Jagan <jaganmn@mcmaster.ca>

Diff between fastbeta versions 0.3.0 dated 2024-05-17 and 0.3.1 dated 2024-11-22

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Package easyclimate updated to version 0.2.2 with previous version 0.2.1 dated 2023-07-11

Title: Easy Access to High-Resolution Daily Climate Data for Europe
Description: Get high-resolution (1 km) daily climate data (precipitation, minimum and maximum temperatures) for points and polygons within Europe.
Author: Veronica Cruz-Alonso [aut, cre, cph] , Francisco Rodriguez-Sanchez [aut, cph] , Christoph Pucher [aut] , Paloma Ruiz-Benito [aut] , Julen Astigarraga [aut] , Mathias Neumann [aut] , Sophia Ratcliffe [aut]
Maintainer: Veronica Cruz-Alonso <veronica.cral@gmail.com>

Diff between easyclimate versions 0.2.1 dated 2023-07-11 and 0.2.2 dated 2024-11-22

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Package OlinkAnalyze updated to version 4.0.2 with previous version 4.0.1 dated 2024-09-24

Title: Facilitate Analysis of Proteomic Data from Olink
Description: A collection of functions to facilitate analysis of proteomic data from Olink, primarily NPX data that has been exported from Olink Software. The functions also work on QUANT data from Olink by log- transforming the QUANT data. The functions are focused on reading data, facilitating data wrangling and quality control analysis, performing statistical analysis and generating figures to visualize the results of the statistical analysis. The goal of this package is to help users extract biological insights from proteomic data run on the Olink platform.
Author: Kathleen Nevola [aut, cre] , Marianne Sandin [aut] , Jamey Guess [aut] , Simon Forsberg [aut] , Christoffer Cambronero [aut] , Pascal Pucholt [aut] , Boxi Zhang [aut] , Masoumeh Sheikhi [aut] , Klev Diamanti [aut] , Amrita Kar [aut] , Lei Conze [aut] [...truncated...]
Maintainer: Kathleen Nevola <biostattools@olink.com>

Diff between OlinkAnalyze versions 4.0.1 dated 2024-09-24 and 4.0.2 dated 2024-11-22

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Package LTFHPlus updated to version 2.1.2 with previous version 2.1.1 dated 2024-02-12

Title: Implementation of LT-FH++
Description: Implementation of LT-FH++, an extension of the liability threshold family history (LT-FH) model. LT-FH++ uses a Gibbs sampler for sampling from the truncated multivariate normal distribution and allows for flexible family structures. LT-FH++ was first described in Pedersen, Emil M., et al. (2022) <doi:10.1016/j.ajhg.2022.01.009> as an extension to LT-FH with more flexible family structures, and again as the age-dependent liability threshold (ADuLT) model Pedersen, Emil M., et al. (2023) <doi:10.1038/s41467-023-41210-z> as an alternative to traditional time-to-event genome-wide association studies, where family history was not considered.
Author: Emil Michael Pedersen [aut, cre], Florian Prive [aut, ths], Bjarni Johann Vilhjalmsson [ths], Esben Agerbo [ths], Jette Steinbach [aut], Lucas Rasmussen [ctb]
Maintainer: Emil Michael Pedersen <emp@ph.au.dk>

Diff between LTFHPlus versions 2.1.1 dated 2024-02-12 and 2.1.2 dated 2024-11-22

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Package liver updated to version 1.18 with previous version 1.17 dated 2024-10-28

Title: "Eating the Liver of Data Science"
Description: Offers a suite of helper functions to simplify various data science techniques for non-experts. This package aims to enable individuals with only a minimal level of coding knowledge to become acquainted with these techniques in an accessible manner. Inspired by an ancient Persian idiom, we liken this process to "eating the liver of data science," suggesting a deep and intimate engagement with the field of data science. This package includes functions for tasks such as data partitioning for out-of-sample testing, calculating Mean Squared Error (MSE) to assess prediction accuracy, and data transformations (z-score and min-max). In addition to these helper functions, the 'liver' package also features several intriguing datasets valuable for multivariate analysis.
Author: Reza Mohammadi [aut, cre] , Kevin Burke [aut]
Maintainer: Reza Mohammadi <a.mohammadi@uva.nl>

Diff between liver versions 1.17 dated 2024-10-28 and 1.18 dated 2024-11-22

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Package sparta updated to version 1.0.1 with previous version 0.8.4 dated 2022-04-12

Title: Sparse Tables
Description: Fast Multiplication and Marginalization of Sparse Tables <doi:10.18637/jss.v111.i02>.
Author: Mads Lindskou [aut, cre]
Maintainer: Mads Lindskou <madslindskou@gmail.com>

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Package progressr updated to version 0.15.1 with previous version 0.15.0 dated 2024-10-29

Title: An Inclusive, Unifying API for Progress Updates
Description: A minimal, unifying API for scripts and packages to report progress updates from anywhere including when using parallel processing. The package is designed such that the developer can to focus on what progress should be reported on without having to worry about how to present it. The end user has full control of how, where, and when to render these progress updates, e.g. in the terminal using utils::txtProgressBar(), cli::cli_progress_bar(), in a graphical user interface using utils::winProgressBar(), tcltk::tkProgressBar() or shiny::withProgress(), via the speakers using beepr::beep(), or on a file system via the size of a file. Anyone can add additional, customized, progression handlers. The 'progressr' package uses R's condition framework for signaling progress updated. Because of this, progress can be reported from almost anywhere in R, e.g. from classical for and while loops, from map-reduce API:s like the lapply() family of functions, 'purrr', 'plyr', and 'foreach'. It will als [...truncated...]
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between progressr versions 0.15.0 dated 2024-10-29 and 0.15.1 dated 2024-11-22

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Package osmextract updated to version 0.5.2 with previous version 0.5.1 dated 2024-04-30

Title: Download and Import Open Street Map Data Extracts
Description: Match, download, convert and import Open Street Map data extracts obtained from several providers.
Author: Andrea Gilardi [aut, cre] , Robin Lovelace [aut] , Barry Rowlingson [ctb] , Salva Fernandez [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/395>), Nicholas Potter [rev] for rOpenSci, see <https://github.com/ropensci/soft [...truncated...]
Maintainer: Andrea Gilardi <andrea.gilardi@polimi.it>

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Package maestro updated to version 0.4.1 with previous version 0.4.0 dated 2024-11-21

Title: Orchestration of Data Pipelines
Description: Framework for creating and orchestrating data pipelines. Organize, orchestrate, and monitor multiple pipelines in a single project. Use tags to decorate functions with scheduling parameters and configuration.
Author: Will Hipson [cre, aut, cph] , Ryan Garnett [aut, ctb, cph]
Maintainer: Will Hipson <will.e.hipson@gmail.com>

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Package isopleuros updated to version 1.3.0 with previous version 1.2.0 dated 2024-01-08

Title: Ternary Plots
Description: Ternary plots made simple. This package allows to create ternary plots using 'graphics'. It provides functions to display the data in the ternary space, to add or tune graphical elements and to display statistical summaries. It also includes common ternary diagrams which are useful for the archaeologist (e.g. soil texture charts, ceramic phase diagram).
Author: Nicolas Frerebeau [aut, cre] , Brice Lebrun [ctb] , Universite Bordeaux Montaigne [fnd], CNRS [fnd]
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>

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Package hyperbolicDEA updated to version 1.0.2 with previous version 1.0.1 dated 2024-11-19

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 dad updated to version 4.1.5 with previous version 4.1.2 dated 2023-08-30

Title: Three-Way / Multigroup Data Analysis Through Densities
Description: The data consist of a set of variables measured on several groups of individuals. To each group is associated an estimated probability density function. The package provides tools to create or manage such data and functional methods (principal component analysis, multidimensional scaling, cluster analysis, discriminant analysis...) for such probability densities.
Author: Rachid Boumaza [aut], Pierre Santagostini [aut, cre], Smail Yousfi [aut], Gilles Hunault [ctb], Julie Bourbeillon [ctb], Besnik Pumo [ctb], Sabine Demotes-Mainard [aut]
Maintainer: Pierre Santagostini <pierre.santagostini@agrocampus-ouest.fr>

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Package AID updated to version 3.0 with previous version 2.9 dated 2023-09-13

Title: Box-Cox Power Transformation
Description: Performs Box-Cox power transformation for different purposes, graphical approaches, assesses the success of the transformation via tests and plots, computes mean and confidence interval for back transformed data.
Author: Osman Dag [aut, cre], Muhammed Ali Yilmaz [aut], Ozgur Asar [ctb], Ozlem Ilk [ctb]
Maintainer: Osman Dag <osman.dag@outlook.com>

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Package SVMMaj updated to version 0.2.9.3 with previous version 0.2.9.2 dated 2024-08-19

Title: Implementation of the SVM-Maj Algorithm
Description: Implements the SVM-Maj algorithm to train data with support vector machine <doi:10.1007/s11634-008-0020-9>. This algorithm uses two efficient updates, one for linear kernel and one for the nonlinear kernel.
Author: Hoksan Yip [aut, cre], Patrick J.F. Groenen [aut], Georgi Nalbantov [aut]
Maintainer: Hoksan Yip <hoksan@gmail.com>

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Package solartime updated to version 0.0.4 with previous version 0.0.2 dated 2021-04-22

Title: Utilities Dealing with Solar Time Such as Sun Position and Time of Sunrise
Description: Provide utilities to work with solar time, i.e. where noon is exactly when sun culminates. Provides functions for computing sun position and times of sunrise and sunset.
Author: Thomas Wutzler [aut, cre]
Maintainer: Thomas Wutzler <twutz@bgc-jena.mpg.de>

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Package quantreg updated to version 5.99.1 with previous version 5.99 dated 2024-10-22

Title: Quantile Regression
Description: Estimation and inference methods for models for conditional quantile functions: Linear and nonlinear parametric and non-parametric (total variation penalized) models for conditional quantiles of a univariate response and several methods for handling censored survival data. Portfolio selection methods based on expected shortfall risk are also now included. See Koenker, R. (2005) Quantile Regression, Cambridge U. Press, <doi:10.1017/CBO9780511754098> and Koenker, R. et al. (2017) Handbook of Quantile Regression, CRC Press, <doi:10.1201/9781315120256>.
Author: Roger Koenker [cre, aut], Stephen Portnoy [ctb] , Pin Tian Ng [ctb] , Blaise Melly [ctb] , Achim Zeileis [ctb] , Philip Grosjean [ctb] , Cleve Moler [ctb] , Yousef Saad [ctb] , Victor Chernozhukov [ctb] , Ivan Fernandez-Val [ctb] , Martin Maechler [c [...truncated...]
Maintainer: Roger Koenker <rkoenker@illinois.edu>

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Package omopgenerics updated to version 0.4.0 with previous version 0.3.1 dated 2024-09-21

Title: Methods and Classes for the OMOP Common Data Model
Description: Provides definitions of core classes and methods used by analytic pipelines that query the OMOP (Observational Medical Outcomes Partnership) common data model.
Author: Marti Catala [aut, cre] , Edward Burn [aut] , Mike Du [ctb] , Yuchen Guo [ctb] , Adam Black [ctb] , Marta Alcalde-Herraiz [ctb]
Maintainer: Marti Catala <marti.catalasabate@ndorms.ox.ac.uk>

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Package MVar.pt updated to version 2.2.5 with previous version 2.2.4 dated 2024-11-13

Title: Analise multivariada (brazilian portuguese)
Description: Analise multivariada, tendo funcoes que executam analise de correspondencia simples (CA) e multipla (MCA), analise de componentes principais (PCA), analise de correlacao canonica (CCA), analise fatorial (FA), escalonamento multidimensional (MDS), analise discriminante linear (LDA) e quadratica (QDA), analise de cluster hierarquico e nao hierarquico, regressao linear simples e multipla, analise de multiplos fatores (MFA) para dados quantitativos, qualitativos, de frequencia (MFACT) e dados mistos, biplot, scatter plot, projection pursuit (PP), grant tour e outras funcoes uteis para a analise multivariada.
Author: Paulo Cesar Ossani [aut, cre] , Marcelo Angelo Cirillo [aut]
Maintainer: Paulo Cesar Ossani <ossanipc@hotmail.com>

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Package MVar updated to version 2.2.5 with previous version 2.2.4 dated 2024-11-13

Title: Multivariate Analysis
Description: Multivariate analysis, having functions that perform simple correspondence analysis (CA) and multiple correspondence analysis (MCA), principal components analysis (PCA), canonical correlation analysis (CCA), factorial analysis (FA), multidimensional scaling (MDS), linear (LDA) and quadratic discriminant analysis (QDA), hierarchical and non-hierarchical cluster analysis, simple and multiple linear regression, multiple factor analysis (MFA) for quantitative, qualitative, frequency (MFACT) and mixed data, biplot, scatter plot, projection pursuit (PP), grant tour method and other useful functions for the multivariate analysis.
Author: Paulo Cesar Ossani [aut, cre] , Marcelo Angelo Cirillo [aut]
Maintainer: Paulo Cesar Ossani <ossanipc@hotmail.com>

Diff between MVar versions 2.2.4 dated 2024-11-13 and 2.2.5 dated 2024-11-22

 DESCRIPTION         |    8 ++++----
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 3 files changed, 9 insertions(+), 9 deletions(-)

More information about MVar at CRAN
Permanent link

Package mpathr updated to version 1.0.2 with previous version 1.0.1 dated 2024-10-21

Title: Easily Handling Data from the ‘m-Path’ Platform
Description: Provides tools for importing and cleaning Experience Sampling Method (ESM) data collected via the 'm-Path' platform. The goal is to provide with a few utility functions to be able to read and perform some common operations in ESM data collected through the 'm-Path' platform (<https://m-path.io/landing/>). Functions include raw data handling, format standardization, and basic data checks, as well as to calculate the response rate in data from ESM studies.
Author: Merijn Mestdagh [aut, cre] , Lara Navarrete [aut], Koen Niemeijer [aut] , m-Path Software [cph]
Maintainer: Merijn Mestdagh <merijn.mestdagh@m-path.io>

Diff between mpathr versions 1.0.1 dated 2024-10-21 and 1.0.2 dated 2024-11-22

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Package ggblanket updated to version 11.0.0 with previous version 10.0.0 dated 2024-07-26

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

Diff between ggblanket versions 10.0.0 dated 2024-07-26 and 11.0.0 dated 2024-11-22

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Package cvasi updated to version 1.3.1 with previous version 1.2.0 dated 2024-09-23

Title: Calibration, Validation, and Simulation of TKTD Models
Description: Eases the use of ecotoxicological effect models. Can simulate common toxicokinetic-toxicodynamic (TK/TD) models such as General Unified Threshold models of Survival (GUTS) and Lemna. It can derive effects and effect profiles (EPx) from scenarios. It supports the use of 'tidyr' workflows employing the pipe symbol. Time-consuming tasks can be parallelized.
Author: Nils Kehrein [aut, cre], Dirk Nickisch [aut], Peter Vermeiren [aut], Torben Wittwer [ctb], Johannes Witt [ctb], Andre Gergs [ctb]
Maintainer: Nils Kehrein <nils.kehrein@gmail.com>

Diff between cvasi versions 1.2.0 dated 2024-09-23 and 1.3.1 dated 2024-11-22

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Package care4cmodel updated to version 1.0.3 with previous version 1.0.2 dated 2024-06-04

Title: Carbon-Related Assessment of Silvicultural Concepts
Description: A simulation model and accompanying functions that support assessing silvicultural concepts on the forest estate level with a focus on the CO2 uptake by wood growth and CO2 emissions by forest operations. For achieving this, a virtual forest estate area is split into the areas covered by typical phases of the silvicultural concept of interest. Given initial area shares of these phases, the dynamics of these areas is simulated. The typical carbon stocks and flows which are known for all phases are attributed post-hoc to the areas and upscaled to the estate level. CO2 emissions by forest operations are estimated based on the amounts and dimensions of the harvested timber. Probabilities of damage events are taken into account.
Author: Peter Biber [aut, cre, cph] , Stefano Grigolato [ctb] , Julia Schmucker [ctb] , Enno Uhl [ctb] , Hans Pretzsch [ctb]
Maintainer: Peter Biber <p.biber@tum.de>

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Package REDCapCAST updated to version 24.11.2 with previous version 24.10.3 dated 2024-10-03

Title: REDCap Metadata Casting and Castellated Data Handling
Description: Casting metadata for REDCap database creation and handling of castellated data using repeated instruments and longitudinal projects in 'REDCap'. Keeps a focused data export approach, by allowing to only export required data from the database. Also for casting new REDCap databases based on datasets from other sources. Originally forked from the R part of 'REDCapRITS' by Paul Egeler. See <https://github.com/pegeler/REDCapRITS>. 'REDCap' (Research Electronic Data Capture) is a secure, web-based software platform designed to support data capture for research studies, providing 1) an intuitive interface for validated data capture; 2) audit trails for tracking data manipulation and export procedures; 3) automated export procedures for seamless data downloads to common statistical packages; and 4) procedures for data integration and interoperability with external sources (Harris et al (2009) <doi:10.1016/j.jbi.2008.08.010>; Harris et al (2019) <doi:10.1016/j.jbi.2019.103208> [...truncated...]
Author: Andreas Gammelgaard Damsbo [aut, cre] , Paul Egeler [aut]
Maintainer: Andreas Gammelgaard Damsbo <agdamsbo@clin.au.dk>

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Package neutrostat updated to version 0.0.2 with previous version 0.0.1 dated 2024-10-11

Title: Neutrosophic Statistics
Description: Analyzes data involving imprecise and vague information. Provides summary statistics and describes the characteristics of neutrosophic data, as defined by Florentin Smarandache (2013).<ISBN:9781599732749>.
Author: Zahid Khan [aut], Zsolt T. Kosztyan [aut, cre]
Maintainer: Zsolt T. Kosztyan <kosztyan.zsolt@gtk.uni-pannon.hu>

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Package DrugExposureDiagnostics updated to version 1.0.10 with previous version 1.0.9 dated 2024-09-25

Title: Diagnostics for OMOP Common Data Model Drug Records
Description: Ingredient specific diagnostics for drug exposure records in the Observational Medical Outcomes Partnership (OMOP) common data model.
Author: Ger Inberg [aut, cre] , Edward Burn [aut] , Theresa Burkard [aut] , Yuchen Guo [ctb] , Marti Catala [ctb] , Mike Du [ctb] , Xintong Li [ctb] , Ross Williams [ctb] , Erasmus MC [cph]
Maintainer: Ger Inberg <g.inberg@erasmusmc.nl>

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Package dverse updated to version 0.1.0 with previous version 0.0.1 dated 2024-11-05

Title: Document a Universe of Packages
Description: Creates a data frame containing the metadata associated with the documentation of a collection of R packages. It allows for linking topic names to their corresponding documentation online. If you maintain a universe meta-package, it helps create a comprehensive reference for its website.
Author: Mauro Lepore [aut, cre, cph]
Maintainer: Mauro Lepore <maurolepore@gmail.com>

Diff between dverse versions 0.0.1 dated 2024-11-05 and 0.1.0 dated 2024-11-22

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Package AOboot updated to version 0.1.1 with previous version 0.1.0 dated 2024-09-03

Title: Bootstrapping in Different One-Way and Two-Way ANOVA
Description: To address the violation of the assumption of normally distributed variables, researchers frequently employ bootstrapping. Building upon established packages for R (Sigmann et al. (2024) <doi:10.32614/CRAN.package.afex>, Lenth (2024) <doi:10.32614/CRAN.package.emmeans>), we provide bootstrapping functions to approximate a normal distribution of the parameter estimates for between-subject, within-subject, and mixed one-way and two-way ANOVA.
Author: Lisa-Marie Segbert [aut], Christian Bloetner [aut, cre]
Maintainer: Christian Bloetner <c.bloetner@gmail.com>

Diff between AOboot versions 0.1.0 dated 2024-09-03 and 0.1.1 dated 2024-11-22

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Package maicplus updated to version 0.1.1 with previous version 0.1.0 dated 2024-11-10

Title: Matching Adjusted Indirect Comparison
Description: Facilitates performing matching adjusted indirect comparison (MAIC) analysis where the endpoint of interest is either time-to-event (e.g. overall survival) or binary (e.g. objective tumor response). The method is described by Signorovitch et al (2012) <doi:10.1016/j.jval.2012.05.004>.
Author: Gregory Chen [aut], Michael Seo [aut], Isaac Gravestock [aut, cre], Miranta Antoniou [ctb], Chrysostomos Kalyvas [ctb], MSD, Inc. [cph, fnd], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Isaac Gravestock <isaac.gravestock@roche.com>

Diff between maicplus versions 0.1.0 dated 2024-11-10 and 0.1.1 dated 2024-11-22

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Package geofi updated to version 1.0.17 with previous version 1.0.16 dated 2024-08-19

Title: Access Finnish Geospatial Data
Description: Designed to simplify geospatial data access from the Statistics Finland Web Feature Service API <https://geo.stat.fi/geoserver/index.html>, the geofi package offers researchers and analysts a set of tools to obtain and harmonize administrative spatial data for a wide range of applications, from urban planning to environmental research. The package contains annually updated time series of municipality key datasets that can be used for data aggregation and language translations.
Author: Markus Kainu [aut, cre] , Joona Lehtomaki [aut] , Juuso Parkkinen [ctb] , Jani Miettinen [ctb], Pyry Kantanen [ctb], Sampo Vesanen [ctb], Leo Lahti [aut]
Maintainer: Markus Kainu <markus.kainu@kapsi.fi>

Diff between geofi versions 1.0.16 dated 2024-08-19 and 1.0.17 dated 2024-11-22

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Package bamdit updated to version 3.4.3 with previous version 3.4.2 dated 2024-09-20

Title: Bayesian Meta-Analysis of Diagnostic Test Data
Description: Provides a new class of Bayesian meta-analysis models that incorporates a model for internal and external validity bias. In this way, it is possible to combine studies of diverse quality and different types. For example, we can combine the results of randomized control trials (RCTs) with the results of observational studies (OS).
Author: Pablo Emilio Verde [aut, cre]
Maintainer: Pablo Emilio Verde <pabloemilio.verde@hhu.de>

Diff between bamdit versions 3.4.2 dated 2024-09-20 and 3.4.3 dated 2024-11-22

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New package saeHB.spatial with initial version 0.1.1
Package: saeHB.spatial
Title: Small Area Estimation Hierarchical Bayes For Spatial Model
Version: 0.1.1
Description: Provides several functions and datasets for area level of Small Area Estimation under Spatial Model using Hierarchical Bayesian (HB) Method. Model-based estimators include the HB estimators based on a Spatial Fay-Herriot model with univariate normal distribution for variable of interest.The 'rjags' package is employed to obtain parameter estimates. For the reference, see Rao and Molina (2015) <doi:10.1002/9781118735855>.
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/arinams/saeHB.spatial
BugReports: https://github.com/arinams/saeHB.spatial/issues
Imports: stringr, coda, rjags, stats, grDevices, graphics
SystemRequirements: JAGS (http://mcmc-jags.sourceforge.net)
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-11-22 08:41:08 UTC; User
Author: Arina Mana Sikana [aut, cre], Azka Ubaidillah [aut]
Maintainer: Arina Mana Sikana <sikanaradrianan@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-22 09:40:02 UTC

More information about saeHB.spatial at CRAN
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Package incidence2 updated to version 2.6.0 with previous version 2.5.0 dated 2024-10-06

Title: Compute, Handle and Plot Incidence of Dated Events
Description: Provides functions and classes to compute, handle and visualise incidence from dated events for a defined time interval. Dates can be provided in various standard formats. The class 'incidence2' is used to store computed incidence and can be easily manipulated, subsetted, and plotted. This package is part of the RECON (<https://www.repidemicsconsortium.org/>) toolkit for outbreak analysis (<https://www.reconverse.org>).
Author: Tim Taylor [aut, cre] , Thibaut Jombart [ctb]
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>

Diff between incidence2 versions 2.5.0 dated 2024-10-06 and 2.6.0 dated 2024-11-22

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New package GWlasso with initial version 1.0.1
Package: GWlasso
Title: Geographically Weighted Lasso
Version: 1.0.1
Description: Performs geographically weighted Lasso regressions. Find optimal bandwidth, fit a geographically weighted lasso or ridge regression, and make predictions. These methods are specially well suited for ecological inferences. Bandwidth selection algorithm is from A. Comber and P. Harris (2018) <doi:10.1007/s10109-018-0280-7>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, ggplot2, ggside, glmnet, GWmodel, lifecycle, magrittr, methods, progress, rlang, sf, tidyr
NeedsCompilation: no
Packaged: 2024-11-22 07:51:01 UTC; nibor
Author: Matthieu Mulot [aut, cre, cph] , Sophie Erb [aut]
Maintainer: Matthieu Mulot <matthieu.mulot@gmail.com>
Suggests: knitr, maps, rmarkdown
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
LazyData: true
URL: https://github.com/nibortolum/GWlasso, https://nibortolum.github.io/GWlasso/
BugReports: https://github.com/nibortolum/GWlasso/issues
Repository: CRAN
Date/Publication: 2024-11-22 09:30:07 UTC

More information about GWlasso at CRAN
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New package exametrika with initial version 1.1.0
Package: exametrika
Title: Test Theory Analysis and Biclustering
Version: 1.1.0
Description: Implements comprehensive test data engineering methods as described in Shojima (2022, ISBN:978-9811699856). Provides statistical techniques for engineering and processing test data: Classical Test Theory (CTT) with reliability coefficients for continuous ability assessment; Item Response Theory (IRT) including Rasch, 2PL, and 3PL models with item/test information functions; Latent Class Analysis (LCA) for nominal clustering; Latent Rank Analysis (LRA) for ordinal clustering with automatic determination of cluster numbers; Biclustering methods including infinite relational models for simultaneous clustering of examinees and items without predefined cluster numbers; and Bayesian Network Models (BNM) for visualizing inter-item dependencies. Features local dependence analysis through LRA and biclustering, parameter estimation, dimensionality assessment, and network structure visualization for educational, psychological, and social science research.
License: MIT + file LICENSE
Language: en-US
Encoding: UTF-8
LazyData: true
BuildVignettes: true
Suggests: testthat (>= 3.0.0)
Depends: R (>= 3.5.0), mvtnorm, igraph
NeedsCompilation: no
Packaged: 2024-11-22 07:42:59 UTC; napier3
Author: Koji Kosugi [aut, cre]
Maintainer: Koji Kosugi <kosugitti@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-22 09:30:02 UTC

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New package anominate with initial version 0.7
Package: anominate
Title: Alpha-NOMINATE Ideal Point Estimator
Version: 0.7
Date: 2024-11-21
Author: Royce Carroll [aut], Christopher Hare [aut, cre], Jeffrey B. Lewis [aut], James Lo [aut], Keith T. Poole [aut], Howard Rosenthal [aut], Carlos Algara [aut], Samuel Fuller [aut]
Maintainer: Christopher Hare <cdhare@ucdavis.edu>
Description: Provides functions to estimate and interpret the alpha-NOMINATE ideal point model developed in Carroll et al. (2013, <doi:10.1111/ajps.12029>). alpha-NOMINATE extends traditional spatial voting frameworks by allowing for a mixture of Gaussian and quadratic utility functions, providing flexibility in modeling political actors' preferences. The package uses Markov Chain Monte Carlo (MCMC) methods for parameter estimation, supporting robust inference about individuals' ideological positions and the shape of their utility functions. It also contains functions to simulate data from the model and to calculate the probability of a vote passing given the ideal points of the legislators/voters and the estimated location of the choice alternatives.
License: GPL-2
Depends: stats, coda, wnominate, pscl, MCMCpack
URL: https://CRAN.R-project.org/package=anominate
NeedsCompilation: yes
Packaged: 2024-11-21 22:20:12 UTC; chare
Repository: CRAN
Date/Publication: 2024-11-22 09:20:02 UTC

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Package vDiveR updated to version 2.0.1 with previous version 2.0.0 dated 2024-09-12

Title: Visualization of Viral Protein Sequence Diversity Dynamics
Description: To ease the visualization of outputs from Diversity Motif Analyser ('DiMA'; <https://github.com/BVU-BILSAB/DiMA>). 'vDiveR' allows visualization of the diversity motifs (index and its variants – major, minor and unique) for elucidation of the underlying inherent dynamics. Please refer <https://vdiver-manual.readthedocs.io/en/latest/> for more information.
Author: Pendy Tok [aut, cre], Li Chuin Chong [aut], Evgenia Chikina [aut], Yin Cheng Chen [aut], Mohammad Asif Khan [aut]
Maintainer: Pendy Tok <pendytok0518@gmail.com>

Diff between vDiveR versions 2.0.0 dated 2024-09-12 and 2.0.1 dated 2024-11-22

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Permanent link

New package topics with initial version 0.20.0
Package: topics
Title: Creating and Significance Testing Language Features for Visualisation
Version: 0.20.0
Description: Implements differential language analysis with statistical tests and offers various language visualization techniques for n-grams and topics. It also supports the 'text' package. For more information, visit <https://r-topics.org/> and <https://www.r-text.org/>.
License: GPL-3
URL: https://r-topics.org/
BugReports: https://github.com/theharmonylab/topics/issues
Encoding: UTF-8
Archs: x64
SystemRequirements: Python (>= 3.6.0)
LazyData: true
BuildVignettes: true
Imports: text, textmineR, ggplot2, dplyr, mallet, rJava, ggwordcloud, effsize, purrr, tibble, methods, readr, stopwords, Matrix, ngram, stringr, rlang, tidyr
Suggests: knitr, rmarkdown, testthat, covr
VignetteBuilder: knitr
Depends: R (>= 4.00)
NeedsCompilation: no
Packaged: 2024-11-21 18:13:35 UTC; oscarkjell
Author: Leon Ackermann [aut] , Zhuojun Gu [aut] , Oscar Kjell [aut, cre]
Maintainer: Oscar Kjell <oscar.kjell@psy.lu.se>
Repository: CRAN
Date/Publication: 2024-11-22 09:00:02 UTC

More information about topics at CRAN
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New package super with initial version 0.0.3
Package: super
Title: Interpreted String Literals
Version: 0.0.3
Description: An implementation of interpreted string literals. Based on the 'glue' package by Hester & Bryan (2024) <doi:10.32614/CRAN.package.glue> but with a focus on efficiency and simplicity at a cost of flexibility.
License: MIT + file LICENSE
URL: https://timtaylor.github.io/super/
BugReports: https://github.com/TimTaylor/super/issues
Depends: R (>= 3.6)
Suggests: glue, litedown, microbenchmark, tinytest
VignetteBuilder: litedown
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-11-21 18:25:33 UTC; tim
Author: Tim Taylor [aut, cre] , Jim Hester [aut] , Jennifer Bryan [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>
Repository: CRAN
Date/Publication: 2024-11-22 09:00:06 UTC

More information about super at CRAN
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Package flipscores updated to version 1.3.1 with previous version 1.2.0 dated 2022-08-15

Title: Robust Score Testing in GLMs, by Sign-Flip Contributions
Description: Provides robust tests for testing in GLMs, by sign-flipping score contributions. The tests are robust against overdispersion, heteroscedasticity and, in some cases, ignored nuisance variables. See Hemerik, Goeman and Finos (2020) <doi:10.1111/rssb.12369>.
Author: Livio Finos [cre, aut] , Jelle J. Goeman [ctb], Jesse Hemerik [ctb], Riccardo De Santis [ctb]
Maintainer: Livio Finos <livio.finos@unipd.it>

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Package IRISMustangMetrics (with last version 2.4.6) was removed from CRAN

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

2023-08-22 2.4.6
2022-04-28 2.4.5
2021-03-20 2.4.4
2020-12-10 2.4.3
2020-10-01 2.4.2
2020-07-27 2.4.1
2020-07-09 2.4.0
2019-11-15 2.3.0
2019-01-31 2.2.0
2018-12-05 2.1.3
2018-10-17 2.1.2
2018-08-17 2.1.1
2018-03-14 2.1.0
2017-05-23 2.0.8
2017-02-11 2.0.4
2016-12-01 2.0.2
2015-09-16 1.0.1
2015-08-02 1.0.0

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Package IRISSeismic (with last version 1.6.6) was removed from CRAN

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

2022-10-15 1.6.6
2022-04-10 1.6.5
2022-03-29 1.6.4
2021-10-07 1.6.3
2021-03-22 1.6.2
2020-10-01 1.6.0
2019-10-22 1.5.2
2019-08-06 1.5.1
2019-06-05 1.5.0
2018-09-19 1.4.9
2018-05-07 1.4.8
2017-07-08 1.4.6
2017-06-09 1.4.5
2017-03-12 1.4.3
2017-02-11 1.4.1
2016-12-19 1.3.9
2016-11-30 1.3.8
2016-04-20 1.0.7-1
2016-01-06 1.0.7
2015-07-21 1.0.5

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Package networkDynamic updated to version 0.11.5 with previous version 0.11.4 dated 2023-12-10

Title: Dynamic Extensions for Network Objects
Description: Simple interface routines to facilitate the handling of network objects with complex intertemporal data. This is a part of the "statnet" suite of packages for network analysis.
Author: Carter T. Butts [aut], Ayn Leslie-Cook [aut], Pavel N. Krivitsky [aut], Skye Bender-deMoll [aut, cre], Zack Almquist [ctb], David R. Hunter [ctb], Li Wang [ctb], Kirk Li [ctb], Steven M. Goodreau [ctb], Jeffrey Horner [ctb], Martina Morris [ctb]
Maintainer: Skye Bender-deMoll <skyebend@uw.edu>

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Package merlin (with last version 0.1.0) was removed from CRAN

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

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2020-01-15 0.0.2
2018-08-16 0.0.1

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Thu, 21 Nov 2024

Package jointVIP updated to version 1.0.0 with previous version 0.1.2 dated 2023-03-08

Title: Prioritize Variables with Joint Variable Importance Plot in Observational Study Design
Description: In the observational study design stage, matching/weighting methods are conducted. However, when many background variables are present, the decision as to which variables to prioritize for matching/weighting is not trivial. Thus, the joint treatment-outcome variable importance plots are created to guide variable selection. The joint variable importance plots enhance variable comparisons via unadjusted bias curves derived under the omitted variable bias framework. The plots translate variable importance into recommended values for tuning parameters in existing methods. Post-matching and/or weighting plots can also be used to visualize and assess the quality of the observational study design. The method motivation and derivation is presented in "Prioritizing Variables for Observational Study Design using the Joint Variable Importance Plot" by Liao et al. (2024) <doi:10.1080/00031305.2024.2303419>. See the package paper by Liao and Pimentel (2024) <doi:10.21105/joss.06093> for [...truncated...]
Author: Lauren D. Liao [aut, cre] , Samuel D. Pimentel [aut]
Maintainer: Lauren D. Liao <ldliao@berkeley.edu>

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Package AllelicSeries updated to version 0.1.1.1 with previous version 0.1.0.2 dated 2024-10-22

Title: Allelic Series Test
Description: Implementation of gene-level rare variant association tests targeting allelic series: genes where increasingly deleterious mutations have increasingly large phenotypic effects. The COding-variant Allelic Series Test (COAST) operates on the benign missense variants (BMVs), deleterious missense variants (DMVs), and protein truncating variants (PTVs) within a gene. COAST uses a set of adjustable weights that tailor the test towards rejecting the null hypothesis for genes where the average magnitude of effect increases monotonically from BMVs to DMVs to PTVs. See McCaw ZR, O’Dushlaine C, Somineni H, Bereket M, Klein C, Karaletsos T, Casale FP, Koller D, Soare TW. (2023) "An allelic series rare variant association test for candidate gene discovery" <doi:10.1016/j.ajhg.2023.07.001>.
Author: Zachary McCaw [aut, cre] , Christoph Klein [ctb] , Thomas Soare [ctb] , Jianhui Gao [ctb] , insitro [cph]
Maintainer: Zachary McCaw <zmccaw@insitro.com>

Diff between AllelicSeries versions 0.1.0.2 dated 2024-10-22 and 0.1.1.1 dated 2024-11-21

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Package tidyvpc updated to version 1.5.2 with previous version 1.5.1 dated 2024-01-18

Title: VPC Percentiles and Prediction Intervals
Description: Perform a Visual Predictive Check (VPC), while accounting for stratification, censoring, and prediction correction. Using piping from 'magrittr', the intuitive syntax gives users a flexible and powerful method to generate VPCs using both traditional binning and a new binless approach Jamsen et al. (2018) <doi:10.1002/psp4.12319> with Additive Quantile Regression (AQR) and Locally Estimated Scatterplot Smoothing (LOESS) prediction correction.
Author: Olivier Barriere [aut], Benjamin Rich [aut], James Craig [aut, cre] , Samer Mouksassi [aut], Bill Denney [ctb] , Michael Tomashevskiy [ctb], Kris Jamsen [ctb], Certara USA, Inc. [cph, fnd]
Maintainer: James Craig <james.craig@certara.com>

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Package fragility updated to version 1.6 with previous version 1.5 dated 2024-08-18

Title: Assessing and Visualizing Fragility of Clinical Results with Binary Outcomes
Description: A collection of user-friendly functions for assessing and visualizing fragility of individual studies (Walsh et al., 2014 <doi:10.1016/j.jclinepi.2013.10.019>; Lin, 2021 <doi:10.1111/jep.13428>), conventional pairwise meta-analyses (Atal et al., 2019 <doi:10.1016/j.jclinepi.2019.03.012>), and network meta-analyses of multiple treatments with binary outcomes (Xing et al., 2020 <doi:10.1016/j.jclinepi.2020.07.003>). The included functions are designed to: 1) calculate the fragility index (i.e., the minimal event status modifications that can alter the significance or non-significance of the original result) and fragility quotient (i.e., fragility index divided by sample size) at a specific significance level; 2) give the cases of event status modifications for altering the result's significance or non-significance and visualize these cases; 3) visualize the trend of statistical significance as event status is modified; 4) efficiently derive fragility indexes and f [...truncated...]
Author: Lifeng Lin [aut, cre] , Haitao Chu [aut]
Maintainer: Lifeng Lin <lifenglin@arizona.edu>

Diff between fragility versions 1.5 dated 2024-08-18 and 1.6 dated 2024-11-21

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Package rxode2ll updated to version 2.0.12 with previous version 2.0.11 dated 2023-03-17

Title: Log-Likelihood Functions for 'rxode2'
Description: Provides the log-likelihoods with gradients from 'stan' (Carpenter et al (2015), <doi:10.48550/arXiv.1509.07164>) needed for generalized log-likelihood estimation in 'nlmixr2' (Fidler et al (2019) <doi:10.1002/psp4.12445>). This is split of to reduce computational burden of recompiling 'rxode2' (Wang, Hallow and James (2016) <doi:10.1002/psp4.12052>) which runs the 'nlmixr2' models during estimation.
Author: Matthew L. Fidler [aut, cre]
Maintainer: Matthew L. Fidler <matthew.fidler@gmail.com>

Diff between rxode2ll versions 2.0.11 dated 2023-03-17 and 2.0.12 dated 2024-11-21

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Package RLoptimal updated to version 1.1.1 with previous version 1.1.0 dated 2024-11-03

Title: Optimal Adaptive Allocation Using Deep Reinforcement Learning
Description: An implementation to compute an optimal adaptive allocation rule using deep reinforcement learning in a dose-response study (Matsuura et al. (2022) <doi:10.1002/sim.9247>). The adaptive allocation rule can directly optimize a performance metric, such as power, accuracy of the estimated target dose, or mean absolute error over the estimated dose-response curve.
Author: Kentaro Matsuura [aut, cre, cph] , Koji Makiyama [aut, ctb]
Maintainer: Kentaro Matsuura <matsuurakentaro55@gmail.com>

Diff between RLoptimal versions 1.1.0 dated 2024-11-03 and 1.1.1 dated 2024-11-21

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New package table.glue with initial version 0.0.5
Package: table.glue
Title: Make and Apply Customized Rounding Specifications for Tables
Version: 0.0.5
Description: Translate double and integer valued data into character values formatted for tabulation in manuscripts or other types of academic reports.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: testthat, covr, knitr, rmarkdown, magrittr, dplyr, tidyr, tibble, gt
Imports: glue, stringi
URL: https://github.com/bcjaeger/table.glue
BugReports: https://github.com/bcjaeger/table.glue/issues
VignetteBuilder: knitr
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-11-21 19:34:44 UTC; bjaeger
Author: Byron Jaeger [aut, cre]
Maintainer: Byron Jaeger <bjaeger@wakehealth.edu>
Repository: CRAN
Date/Publication: 2024-11-21 21:20:02 UTC

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Package rTwig updated to version 1.3.0 with previous version 1.2.0 dated 2024-11-08

Title: Realistic Quantitative Structure Models
Description: Real Twig is a method to correct branch overestimation in quantitative structure models. Overestimated cylinders are correctly tapered using measured twig diameters of corresponding tree species. Supported quantitative structure modeling software includes 'TreeQSM', 'SimpleForest', 'Treegraph', and 'aRchi'. Also included is a novel database of twig diameters and tools for fractal analysis of point clouds.
Author: Aidan Morales [aut, cre, cph] , David W. MacFarlane [aut, cph]
Maintainer: Aidan Morales <moral169@msu.edu>

Diff between rTwig versions 1.2.0 dated 2024-11-08 and 1.3.0 dated 2024-11-21

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Package proteomicsCV updated to version 0.4.0 with previous version 0.3.0 dated 2024-08-16

Title: Calculates the Percentage CV for Mass Spectrometry-Based Proteomics Data
Description: Calculates the percentage coefficient of variation (CV) for mass spectrometry-based proteomic data. The CV can be calculated with the traditional formula for raw (non log transformed) intensity data, or log transformed data.
Author: Alejandro Brenes [aut, cre]
Maintainer: Alejandro Brenes <abrenes@ed.ac.uk>

Diff between proteomicsCV versions 0.3.0 dated 2024-08-16 and 0.4.0 dated 2024-11-21

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Package mlr3mbo updated to version 0.2.8 with previous version 0.2.7 dated 2024-11-15

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>

Diff between mlr3mbo versions 0.2.7 dated 2024-11-15 and 0.2.8 dated 2024-11-21

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Package DRIP updated to version 2.3 with previous version 2.2 dated 2024-11-18

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>

Diff between DRIP versions 2.2 dated 2024-11-18 and 2.3 dated 2024-11-21

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Package bindr updated to version 0.1.2 with previous version 0.1.1 dated 2018-03-13

Title: Parametrized Active Bindings
Description: Provides a simple interface for creating active bindings where the bound function accepts additional arguments.
Author: Kirill Mueller [aut, cre] , RStudio [cph, fnd]
Maintainer: Kirill Mueller <kirill@cynkra.com>

Diff between bindr versions 0.1.1 dated 2018-03-13 and 0.1.2 dated 2024-11-21

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Package ARDECO updated to version 2.1.0 with previous version 2.0.0 dated 2024-08-27

Title: Annual Regional Database of the European Commission (ARDECO)
Description: A set of functions to access the 'ARDECO' (Annual Regional Database of the European Commission) data directly from the official ARDECO public repository through the exploitation of the 'ARDECO' APIs. The APIs are completely transparent to the user and the provided functions provide a direct access to the 'ARDECO' data. The 'ARDECO' database is a collection of variables related to demography, employment, labour market, domestic product, capital formation. Each variable can be exposed in one or more units of measure as well as refers to total values plus additional dimensions like economic sectors, gender, age classes. Data can be also aggregated at country level according to the tercet classes as defined by EUROSTAT. The description of the 'ARDECO' database can be found at the following URL <https://urban.jrc.ec.europa.eu/ardeco>.
Author: Carmelo Attardo [cre], Giuseppe Bucciarelli [aut], European Commission, JRC [cph]
Maintainer: Carmelo Attardo <carmelo.attardo@ec.europa.eu>

Diff between ARDECO versions 2.0.0 dated 2024-08-27 and 2.1.0 dated 2024-11-21

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Package ILSAmerge updated to version 1.2.5 with previous version 1.0.0 dated 2024-11-08

Title: Merge and Download International Large-Scale Assessments (ILSA) Data
Description: Merges and downloads 'SPSS' data from different International Large-Scale Assessments (ILSA), including: Trends in International Mathematics and Science Study (TIMSS), Progress in International Reading Literacy Study (PIRLS), Programme for International Student Assessment (PISA), and others.
Author: Andres Christiansen [aut, cre]
Maintainer: Andres Christiansen <andres.christiansen@iea-hamburg.de>

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Package padr updated to version 0.6.3 with previous version 0.6.2 dated 2022-11-23

Title: Quickly Get Datetime Data Ready for Analysis
Description: Transforms datetime data into a format ready for analysis. It offers two core functionalities; aggregating data to a higher level interval (thicken) and imputing records where observations were absent (pad).
Author: Edwin Thoen [aut, cre]
Maintainer: Edwin Thoen <edwinthoen@gmail.com>

Diff between padr versions 0.6.2 dated 2022-11-23 and 0.6.3 dated 2024-11-21

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Package maestro updated to version 0.4.0 with previous version 0.3.0 dated 2024-09-23

Title: Orchestration of Data Pipelines
Description: Framework for creating and orchestrating data pipelines. Organize, orchestrate, and monitor multiple pipelines in a single project. Use tags to decorate functions with scheduling parameters and configuration.
Author: Will Hipson [cre, aut, cph] , Ryan Garnett [aut, ctb, cph]
Maintainer: Will Hipson <will.e.hipson@gmail.com>

Diff between maestro versions 0.3.0 dated 2024-09-23 and 0.4.0 dated 2024-11-21

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Package inlabru updated to version 2.12.0 with previous version 2.11.1 dated 2024-07-01

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

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Package duckdb updated to version 1.1.3 with previous version 1.1.2 dated 2024-10-30

Title: DBI Package for the DuckDB Database Management System
Description: The DuckDB project is an embedded analytical data management system with support for the Structured Query Language (SQL). This package includes all of DuckDB and an R Database Interface (DBI) connector.
Author: Hannes Muehleisen [aut] , Mark Raasveldt [aut] , Kirill Mueller [cre] , Stichting DuckDB Foundation [cph], Apache Software Foundation [cph], PostgreSQL Global Development Group [cph], The Regents of the University of California [cph], Cameron Desrocher [...truncated...]
Maintainer: Kirill Mueller <kirill@cynkra.com>

Diff between duckdb versions 1.1.2 dated 2024-10-30 and 1.1.3 dated 2024-11-21

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Package divDyn updated to version 0.8.3 with previous version 0.8.2 dated 2022-09-05

Title: Diversity Dynamics using Fossil Sampling Data
Description: Functions to describe sampling and diversity dynamics of fossil occurrence datasets (e.g. from the Paleobiology Database). The package includes methods to calculate range- and occurrence-based metrics of taxonomic richness, extinction and origination rates, along with traditional sampling measures. A powerful subsampling tool is also included that implements frequently used sampling standardization methods in a multiple bin-framework. The plotting of time series and the occurrence data can be simplified by the functions incorporated in the package, as well as other calculations, such as environmental affinities and extinction selectivity testing. Details can be found in: Kocsis, A.T.; Reddin, C.J.; Alroy, J. and Kiessling, W. (2019) <doi:10.1101/423780>.
Author: Adam T. Kocsis [cre, aut] , John Alroy [aut] , Carl J. Reddin [aut] , Wolfgang Kiessling [aut] , Deutsche Forschungsgemeinschaft [fnd], FAU GeoZentrum Nordbayern [fnd]
Maintainer: Adam T. Kocsis <adam.t.kocsis@gmail.com>

Diff between divDyn versions 0.8.2 dated 2022-09-05 and 0.8.3 dated 2024-11-21

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 divDyn-0.8.3/divDyn/R/fadLad.R                |    2 
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New package xpose.xtras with initial version 0.0.2
Package: xpose.xtras
Title: Extra Functionality for the 'xpose' Package
Version: 0.0.2
Description: Adding some at-present missing functionality, or functions unlikely to be added to the base 'xpose' package. This includes some diagnostic plots that have been missing in translation from 'xpose4', but also some useful features that truly extend the capabilities of what can be done with 'xpose'. These extensions include the concept of a set of 'xpose' objects, and diagnostics for likelihood-based models.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: assertthat, cli, colorspace, conflicted, dplyr (>= 1.1.2), forcats (>= 1.0.0), GGally, ggplot2 (>= 3.4.2), glue, lifecycle, magrittr, pmxcv, purrr (>= 1.0.1), readr (>= 2.1.4), rlang, stats, stringr (>= 1.5.0), tibble (>= 3.2.1), tidyr (>= 1.3.0), tidyselect, utils, vctrs, xpose
Suggests: DiagrammeR, grDevices, knitr, rmarkdown, testthat (>= 3.0.0), vdiffr
Depends: R (>= 2.10)
LazyData: true
VignetteBuilder: knitr
URL: https://jprybylski.github.io/xpose.xtras/, https://github.com/jprybylski/xpose.xtras
NeedsCompilation: no
Packaged: 2024-11-20 19:03:45 UTC; PRYBYJ
Author: John Prybylski [aut, cre]
Maintainer: John Prybylski <john.prybylski@pfizer.com>
Repository: CRAN
Date/Publication: 2024-11-21 17:20:02 UTC

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New package transDA with initial version 1.0.0
Package: transDA
Title: Transformation Discriminant Analysis
Date: 2024-11-05
Version: 1.0.0
Maintainer: Jing Li <jli178@crimson.ua.edu>
Author: Jing Li [aut, cre], Yana Melnykov [aut]
Description: Performs transformation discrimination analysis and non-transformation discrimination analysis. It also includes functions for Linear Discriminant Analysis, Quadratic Discriminant Analysis, and Mixture Discriminant Analysis. In the context of mixture discriminant analysis, it offers options for both common covariance matrix (common sigma) and individual covariance matrices (uncommon sigma) for the mixture components.
License: GPL (>= 2)
Encoding: UTF-8
Repository: CRAN
ByteCompile: true
NeedsCompilation: yes
Imports: mvtnorm
Packaged: 2024-11-21 16:11:59 UTC; jingli
Date/Publication: 2024-11-21 18:00:02 UTC

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New package TimeDepFrail with initial version 0.0.0.9
Package: TimeDepFrail
Title: Time Dependent Shared Frailty Cox Model
Version: 0.0.0.9
Description: Fits time-dependent shared frailty Cox model (specifically the adapted Paik et al.'s Model) based on the paper "Centre-Effect on Survival After Bone Marrow Transplantation: Application of Time-Dependent Frailty Models", by C.M. Wintrebert, H. Putter, A.H. Zwinderman and J.C. van Houwelingen (2004) <doi:10.1002/bimj.200310051>.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports:
LazyData: true
NeedsCompilation: no
Packaged: 2024-11-21 12:47:56 UTC; alessandragni
Author: Alessandra Ragni [aut, cre] , Giulia Romani [aut], Chiara Masci [ctb]
Maintainer: Alessandra Ragni <alessandra.ragni@polimi.it>
Repository: CRAN
Date/Publication: 2024-11-21 17:40:16 UTC

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New package scoutbaR with initial version 0.0.1
Package: scoutbaR
Title: A Spotlight 'React' Widget for 'shiny' Apps
Version: 0.0.1
Description: Creates a contextual menu that can be triggered with keyboard shortcuts or programmatically. This can replace traditional sidebars or navigation bars, thereby enhancing the user experience with lighter user interfaces.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: htmltools, reactR, shiny
Suggests: testthat (>= 3.0.0), shinytest2
NeedsCompilation: no
Packaged: 2024-11-21 11:12:07 UTC; davidgranjon
Author: David Granjon [aut, cre], Adenekan Wonderful [cph]
Maintainer: David Granjon <dgranjon@ymail.com>
Repository: CRAN
Date/Publication: 2024-11-21 17:40:02 UTC

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New package roxy.shinylive with initial version 1.0.0
Package: roxy.shinylive
Title: A 'roxygen2' Extension for 'Shinylive'
Version: 1.0.0
Description: An extension for 'roxygen2' to embed 'Shinylive' applications in the package documentation.
License: Apache License 2.0
URL: https://github.com/insightsengineering/roxy.shinylive/
BugReports: https://github.com/insightsengineering/roxy.shinylive/issues
Depends: R (>= 4.0)
Imports: glue, jsonlite (>= 1.8.6), lzstring (>= 0.1.3), roxygen2 (>= 7.2.0), stringr (>= 0.4)
Suggests: pkgdown (>= 2.0.0), testthat (>= 3.1.5), withr (>= 2.4.3)
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2024-11-21 10:51:44 UTC; ruckip
Author: Pawel Rucki [aut, cre], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Pawel Rucki <pawel.rucki@roche.com>
Repository: CRAN
Date/Publication: 2024-11-21 17:40:06 UTC

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New package mlms with initial version 1.0.2
Package: mlms
Title: Multilevel Monitoring System Data for Wells in the USGS INL Aquifer Monitoring Network
Version: 1.0.2
Description: Analysis-ready datasets detailing the Multilevel Monitoring System (MLMS) wells within the U.S. Geological Survey's (USGS) aquifer-monitoring network at the Idaho National Laboratory (INL) in Idaho, and the data collected within these wells. Supported by the U.S. Department of Energy (DOE), the USGS collected discrete measurements of hydraulic head at various depths from wells in the eastern Snake River Plain (ESRP) aquifer over several years. These measurements were derived from data on fluid pressure, fluid temperature, and atmospheric pressure. Each well was equipped with an MLMS, which included valved measurement ports, packer bladders, casing segments, and couplers. The MLMS facilitated monitoring at multiple hydraulically isolated depth intervals, reaching significant depths below the land surface. Additionally, groundwater samples were collected from these wells over multiple years and analyzed for various chemical and physical parameters.
Depends: R (>= 4.1)
Imports: checkmate, graphics, grDevices, jsonlite, plotrix, readxl, stats, sf, stringi, tools, utils
Suggests: connectapi, covr, dm, DiagrammeR, DiagrammeRsvg, fontawesome, htmltools, htmlwidgets, inldata, knitr, pkgbuild, pkgdown, pkgload, rcmdcheck, reactable, renv, rmarkdown, roxygen2, tinytest, V8, webmap
License: CC0
Copyright: This software is in the public domain because it contains materials that originally came from the United States Geological Survey (USGS), an agency of the United States Department of Interior. For more information, see the official USGS copyright policy at https://www.usgs.gov/information-policies-and-instructions/copyrights-and-credits
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
URL: https://code.usgs.gov/inl/mlms
BugReports: https://code.usgs.gov/inl/mlms/-/issues
NeedsCompilation: no
Packaged: 2024-11-20 22:40:52 UTC; jfisher
Author: Jason C. Fisher [aut, cre] , Brian V. Twining [aut]
Maintainer: Jason C. Fisher <jfisher@usgs.gov>
Repository: CRAN
Date/Publication: 2024-11-21 17:30:02 UTC

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New package matchedcc with initial version 0.1.1
Package: matchedcc
Title: 'Stata'-Like Matched Case-Control Analysis
Version: 0.1.1
Date: 2024-11-19
Maintainer: Simon R Parker <simon.parker.24@ucl.ac.uk>
Description: Calculate multiple statistics with confidence intervals for matched case-control data including risk difference, risk ratio, relative difference, and the odds ratio. Results are equivalent to those from 'Stata', and you can choose how to format your input data. Methods used are those described on page 56 the 'Stata' documentation for "Epitab - Tables for Epidemologists" <https://www.stata.com/manuals/repitab.pdf>.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/simpar1471/matchedcc/, https://simpar1471.github.io/matchedcc/
BugReports: https://github.com/simpar1471/matchedcc/issues
Depends: R (>= 4.1.0)
Imports: checkmate, stats, cli, binom
Suggests: testthat (>= 3.0.0), readr, vctrs, stringr, purrr, knitr, rmarkdown, RStata
LazyData: true
NeedsCompilation: no
Packaged: 2024-11-20 17:22:43 UTC; tadeo
Author: Simon R Parker [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-11-21 17:10:02 UTC

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New package kendallknight with initial version 0.4.0
Package: kendallknight
Title: Efficient Implementation of Kendall's Correlation Coefficient Computation
Version: 0.4.0
Imports: stats
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
Depends: R(>= 3.5.0)
Description: The computational complexity of the implemented algorithm for Kendall's correlation is O(n log(n)), which is faster than the base R implementation with a computational complexity of O(n^2). For small vectors (i.e., less than 100 observations), the time difference is negligible. However, for larger vectors, the speed difference can be substantial and the numerical difference is minimal. The references are Knight (1966) <doi:10.2307/2282833>, Abrevaya (1999) <doi:10.1016/S0165-1765(98)00255-9>, Christensen (2005) <doi:10.1007/BF02736122> and Emara (2024) <https://learningcpp.org/>. This implementation is described in Vargas Sepulveda (2024) <doi:10.48550/arXiv.2408.09618>.
License: Apache License (>= 2)
BugReports: https://github.com/pachadotdev/capybara/issues
URL: https://pacha.dev/capybara/, https://github.com/pachadotdev/capybara
Encoding: UTF-8
NeedsCompilation: yes
LinkingTo: cpp11
VignetteBuilder: knitr
Language: en-US
LazyData: true
Packaged: 2024-11-20 15:49:09 UTC; pacha
Author: Mauricio Vargas Sepulveda [aut, cre] , Loader Catherine [ctb] ), Ross Ihaka [ctb] )
Maintainer: Mauricio Vargas Sepulveda <m.sepulveda@mail.utoronto.ca>
Repository: CRAN
Date/Publication: 2024-11-21 17:10:06 UTC

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New package eva3dm with initial version 0.99
Package: eva3dm
Title: Evaluation of 3D Meteorological and Air Quality Models
Version: 0.99
Date: 2024-11-19
Description: Provides tools for post-process, evaluate and visualize results from 3d Meteorological and Air Quality models against point observations (i.e. surface stations) and grid (i.e. satellite) observations.
Maintainer: Daniel Schuch <underschuch@gmail.com>
License: MIT + file LICENSE
Imports: terra, ncdf4, utils
Suggests: riem, testthat (>= 3.0.0)
Encoding: UTF-8
BugReports: https://github.com/Schuch666/eva3dm/issues/
Depends: R (>= 3.5.0)
URL: https://schuch666.github.io/eva3dm/
NeedsCompilation: no
Packaged: 2024-11-21 05:25:28 UTC; under
Author: Daniel Schuch [aut, cre]
Repository: CRAN
Date/Publication: 2024-11-21 17:40:11 UTC

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New package covalchemy with initial version 1.0.0
Package: covalchemy
Title: Constructing Joint Distributions with Control Over Statistical Properties
Version: 1.0.0
Description: Synthesizing joint distributions from marginal densities, focusing on controlling key statistical properties such as correlation for continuous data, mutual information for categorical data, and inducing Simpson's Paradox. Generate datasets with specified correlation structures for continuous variables, adjust mutual information between categorical variables, and manipulate subgroup correlations to intentionally create Simpson's Paradox. Joe (1997) <doi:10.1201/b13150> Sklar (1959) <https://en.wikipedia.org/wiki/Sklar%27s_theorem>.
Encoding: UTF-8
Imports: dplyr, ggplot2, mvtnorm, interp, clue, ggExtra, gridExtra, DescTools, MASS
Depends: R (>= 3.5.0)
License: GPL-3
BugReports: https://github.com/namanlab/covalchemy/issues
URL: https://github.com/namanlab/covalchemy
NeedsCompilation: no
Packaged: 2024-11-20 14:57:15 UTC; namanagrawal
Author: Naman Agrawal [aut, cre]
Maintainer: Naman Agrawal <naman.agr03@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-21 17:10:11 UTC

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New package cohetsurr with initial version 1.0
Package: cohetsurr
Title: Assessing Complex Heterogeneity in Surrogacy
Version: 1.0
Date: 2024-11-20
Description: Provides functions to assess and test for complex heterogeneity in the utility of a surrogate marker with respect to multiple baseline covariates, using both a parametric model and a semiparametric two-step model. More details will be available in the future in: Knowlton, R., Tian, L., Parast, L. (2024) ``A General Framework to Assess Complex Heterogeneity in the Strength of a Surrogate Marker."
License: GPL
Imports: stats, matrixStats, mvtnorm
NeedsCompilation: no
Packaged: 2024-11-20 18:08:26 UTC; rkkno
Author: Rebecca Knowlton [aut, cre]
Maintainer: Rebecca Knowlton <rknowlton@utexas.edu>
Repository: CRAN
Date/Publication: 2024-11-21 17:20:07 UTC

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New package chooseGCM with initial version 1.0.1
Package: chooseGCM
Title: Selecting General Circulation Models for Species Distribution Modeling
Version: 1.0.1
Maintainer: Luiz Esser <luizesser@gmail.com>
Description: Methods to help selecting General Circulation Models (GCMs) in the context of projecting models to future scenarios. It is provided clusterization algorithms, distance and correlation metrics, as well as a tailor-made algorithm to detect the optimum subset of GCMs that recreate the environment of all GCMs.
License: MIT + file LICENSE
Imports: checkmate, cluster, cowplot, factoextra, ggcorrplot, ggplot2, graphics, httr, methods, reshape2, stats, terra, usedist, utils
Encoding: UTF-8
Suggests: tictoc, testthat, sf, knitr, raster, rmarkdown, stars
URL: https://luizesser.github.io/chooseGCM/, https://github.com/luizesser/chooseGCM
VignetteBuilder: knitr
BugReports: https://github.com/luizesser/chooseGCM/issues
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-11-20 20:10:59 UTC; luizesser
Author: Dayani Baili [aut] , Reginaldo Re [aut] , Marcos Lima [aut] , Luiz Esser [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-11-21 17:20:11 UTC

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Package templateICAr updated to version 0.9.1 with previous version 0.8.8 dated 2024-10-14

Title: Estimate Brain Networks and Connectivity with ICA and Empirical Priors
Description: Implements the template ICA (independent components analysis) model proposed in Mejia et al. (2020) <doi:10.1080/01621459.2019.1679638> and the spatial template ICA model proposed in proposed in Mejia et al. (2022) <doi:10.1080/10618600.2022.2104289>. Both models estimate subject-level brain as deviations from known population-level networks, which are estimated using standard ICA algorithms. Both models employ an expectation-maximization algorithm for estimation of the latent brain networks and unknown model parameters. Includes direct support for 'CIFTI', 'GIFTI', and 'NIFTI' neuroimaging file formats.
Author: Amanda Mejia [aut, cre], Damon Pham [aut] , Daniel Spencer [ctb] , Mary Beth Nebel [ctb]
Maintainer: Amanda Mejia <mandy.mejia@gmail.com>

Diff between templateICAr versions 0.8.8 dated 2024-10-14 and 0.9.1 dated 2024-11-21

 templateICAr-0.8.8/templateICAr/R/EM_FCtemplateICA.R                |only
 templateICAr-0.8.8/templateICAr/R/RcppExports.R                     |only
 templateICAr-0.8.8/templateICAr/R/templateICAr-package.R            |only
 templateICAr-0.8.8/templateICAr/build                               |only
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 templateICAr-0.8.8/templateICAr/src                                 |only
 templateICAr-0.9.1/templateICAr/DESCRIPTION                         |   18 +++---
 templateICAr-0.9.1/templateICAr/MD5                                 |   26 ++--------
 templateICAr-0.9.1/templateICAr/NAMESPACE                           |    8 ---
 templateICAr-0.9.1/templateICAr/NEWS.md                             |    5 +
 templateICAr-0.9.1/templateICAr/R/VB_FCtemplateICA.R                |    3 -
 templateICAr-0.9.1/templateICAr/R/activations.R                     |   12 +++-
 templateICAr-0.9.1/templateICAr/R/dual_reg2.R                       |    2 
 templateICAr-0.9.1/templateICAr/R/make_mesh.R                       |    9 +--
 19 files changed, 38 insertions(+), 45 deletions(-)

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Package dataCompare updated to version 1.0.4 with previous version 1.0.3 dated 2024-11-14

Title: A 'shiny' App to Compare Two Data Frames
Description: A tool developed with the 'Golem' framework which provides an easier way to check cells differences between two data frames. The user provides two data frames for comparison, selects IDs variables identifying each row of input data, then clicks a button to perform the comparison. Several 'R' package functions are used to describe the data and perform the comparison in the server of the application. The main ones are comparedf() from 'arsenal' and skim() from 'skimr'. For more details see the description of comparedf() from the 'arsenal' package and that of skim() from the 'skimr' package.
Author: Sergio Ewane Ebouele [aut, cre]
Maintainer: Sergio Ewane Ebouele <info@dataforknow.com>

Diff between dataCompare versions 1.0.3 dated 2024-11-14 and 1.0.4 dated 2024-11-21

 DESCRIPTION                             |   14 +++---
 MD5                                     |   35 ++++++++-------
 NAMESPACE                               |    9 ++--
 NEWS.md                                 |   11 ++++
 R/apex_libraries.R                      |    6 --
 R/app_server.R                          |    2 
 R/dataCompare-package.R                 |    8 +--
 R/mod_comp_desc.R                       |   24 ++++++++--
 R/mod_comp_details.R                    |    8 ++-
 R/mod_comp_report.R                     |    6 ++
 R/mod_comp_report_fct_display.R         |   47 +++++++++++++++++++++
 R/mod_intro.R                           |    3 -
 R/mod_load_data.R                       |   43 +++++++++++++------
 README.md                               |    9 +++-
 inst/doc/dataCompare.R                  |   10 ++++
 inst/doc/dataCompare.Rmd                |   13 +++++
 inst/doc/dataCompare.html               |   71 ++++++++++++++++++--------------
 man/compare_data_frame_object_report.Rd |only
 vignettes/dataCompare.Rmd               |   13 +++++
 19 files changed, 242 insertions(+), 90 deletions(-)

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Package wrGraph updated to version 1.3.8 with previous version 1.3.7 dated 2024-01-22

Title: Graphics in the Context of Analyzing High-Throughput Data
Description: Additional options for making graphics in the context of analyzing high-throughput data are available here. This includes automatic segmenting of the current device (eg window) to accommodate multiple new plots, automatic checking for optimal location of legends in plots, small histograms to insert as legends, histograms re-transforming axis labels to linear when plotting log2-transformed data, a violin-plot <doi:10.1080/00031305.1998.10480559> function for a wide variety of input-formats, principal components analysis (PCA) <doi:10.1080/14786440109462720> with bag-plots <doi:10.1080/00031305.1999.10474494> to highlight and compare the center areas for groups of samples, generic MA-plots (differential- versus average-value plots) <doi:10.1093/nar/30.4.e15>, staggered count plots and generation of mouse-over interactive html pages.
Author: Wolfgang Raffelsberger [aut, cre]
Maintainer: Wolfgang Raffelsberger <w.raffelsberger@gmail.com>

Diff between wrGraph versions 1.3.7 dated 2024-01-22 and 1.3.8 dated 2024-11-21

 DESCRIPTION                    |   11 
 MD5                            |   24 
 R/VolcanoPlotW.R               |   38 -
 R/imageW.R                     |  166 ++++--
 R/plotPCAw.R                   |    8 
 R/vioplotW.R                   |   72 +-
 build/vignette.rds             |binary
 inst/doc/wrGraphVignette1.R    |   45 +
 inst/doc/wrGraphVignette1.Rmd  |  109 ++--
 inst/doc/wrGraphVignette1.html |  999 ++++++++++++++---------------------------
 man/imageW.Rd                  |   38 -
 man/vioplotW.Rd                |    5 
 vignettes/wrGraphVignette1.Rmd |  109 ++--
 13 files changed, 744 insertions(+), 880 deletions(-)

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Package redatamx updated to version 1.0.1 with previous version 1.0.0 dated 2024-10-29

Title: R Interface to 'Redatam' Library
Description: Provides an API to work with 'Redatam' (see <https://redatam.org>) databases in both formats: 'RXDB' (new format) and 'DICX' (old format) and running 'Redatam' programs written in 'SPC' language. It's a wrapper around 'Redatam' core and provides functions to open/close a database (redatam_open()/redatam_close()), list entities and variables from the database (redatam_entities(), redatam_variables()) and execute a 'SPC' program and gets the results as data frames (redatam_query(), redatam_run()).
Author: Jaime Salvador [aut, cre] , CELADE [cph]
Maintainer: Jaime Salvador <jaime.salvador@ideasybits.com>

Diff between redatamx versions 1.0.0 dated 2024-10-29 and 1.0.1 dated 2024-11-21

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Package RBesT updated to version 1.7-4 with previous version 1.7-3 dated 2024-01-08

Title: R Bayesian Evidence Synthesis Tools
Description: Tool-set to support Bayesian evidence synthesis. This includes meta-analysis, (robust) prior derivation from historical data, operating characteristics and analysis (1 and 2 sample cases). Please refer to Weber et al. (2021) <doi:10.18637/jss.v100.i19> for details on applying this package while Neuenschwander et al. (2010) <doi:10.1177/1740774509356002> and Schmidli et al. (2014) <doi:10.1111/biom.12242> explain details on the methodology.
Author: Novartis Pharma AG [cph], Sebastian Weber [aut, cre], Beat Neuenschwander [ctb], Heinz Schmidli [ctb], Baldur Magnusson [ctb], Yue Li [ctb], Satrajit Roychoudhury [ctb], Trustees of Columbia University [cph]
Maintainer: Sebastian Weber <sebastian.weber@novartis.com>

Diff between RBesT versions 1.7-3 dated 2024-01-08 and 1.7-4 dated 2024-11-21

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Package lehdr updated to version 1.1.4 with previous version 1.1.3 dated 2023-11-27

Title: Grab Longitudinal Employer-Household Dynamics (LEHD) Flat Files
Description: Designed to query Longitudinal Employer-Household Dynamics (LEHD) workplace/residential association and origin-destination flat files and optionally aggregate Census block-level data to block group, tract, county, or state. Data comes from the LODES FTP server <https://lehd.ces.census.gov/data/lodes/LODES8/>.
Author: Jamaal Green [cre, aut], Liming Wang [aut], Dillon Mahmoudi [aut], Matthew Rogers [ctb], Kyle Walker [ctb]
Maintainer: Jamaal Green <jamaal.green@gmail.com>

Diff between lehdr versions 1.1.3 dated 2023-11-27 and 1.1.4 dated 2024-11-21

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New package dhis2r with initial version 0.3.0
Package: dhis2r
Title: Client for the 'DHIS2' Web API
Version: 0.3.0
Description: Connect and pull data from a 'DHIS2 (District Health Information Software 2)' instance into R.
License: MIT + file LICENSE
URL: https://github.com/amanyiraho/dhis2r
BugReports: https://github.com/amanyiraho/dhis2r/issues
Imports: attempt (>= 0.3.1), curl (>= 4.3.3), dplyr (>= 1.0.10), httr2 (>= 0.2.2), R6 (>= 2.5.1)
Suggests: covr, httptest2, knitr, rmarkdown, testthat
Depends: R (>= 4.1.0)
Encoding: UTF-8
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2024-11-21 10:53:15 UTC; am
Author: Robinson Amanyiraho [cre, aut, cph]
Maintainer: Robinson Amanyiraho <amanyiraho@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-21 11:30:06 UTC

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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 datacutr (with last version 0.2.0) was removed from CRAN

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

2024-11-19 0.2.0
2023-03-31 0.1.0

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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>

Diff between powertools versions 0.1.0 dated 2024-11-14 and 0.1.2 dated 2024-11-21

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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>

Diff between aLBI versions 0.1.6 dated 2024-11-13 and 0.1.7 dated 2024-11-21

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New package scregclust with initial version 0.1.10
Package: scregclust
Title: Reconstructing the Regulatory Programs of Target Genes in scRNA-Seq Data
Version: 0.1.10
Description: Implementation of the scregclust algorithm described in Larsson, Held, et al. (2024) <doi:10.1038/s41467-024-53954-3> which reconstructs regulatory programs of target genes in scRNA-seq data. Target genes are clustered into modules and each module is associated with a linear model describing the regulatory program.
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: Matrix, stats, methods, utils, reshape, igraph, graphics, grid, cli, prettyunits, ggplot2, rlang, Rcpp (>= 1.0.8)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), Seurat (>= 5.0.0), glmGamPoi, hdf5r
LinkingTo: Rcpp, RcppEigen
VignetteBuilder: knitr
License: GPL (>= 3)
URL: https://scmethods.github.io/scregclust/, https://github.com/scmethods/scregclust/
BugReports: https://github.com/scmethods/scregclust/issues
NeedsCompilation: yes
Packaged: 2024-11-20 09:16:53 UTC; felixheld
Author: Felix Held [aut, cre] , Ida Larsson [aut] , Sven Nelander [aut]
Maintainer: Felix Held <felix.held@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-21 07:30:02 UTC

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New package OutcomeWeights with initial version 0.1.0
Package: OutcomeWeights
Title: Outcome Weights of Treatment Effect Estimators
Version: 0.1.0
Description: Many treatment effect estimators can be written as weighted outcomes. These weights have established use cases like checking covariate balancing via packages like 'cobalt'. This package takes the original estimator objects and outputs these outcome weights. It builds on the general framework of Knaus (2024) <doi:10.48550/arXiv.2411.11559>. This version is compatible with the 'grf' package and provides an internal implementation of Double Machine Learning.
License: GPL-3
Encoding: UTF-8
URL: https://github.com/MCKnaus/OutcomeWeights
BugReports: https://github.com/MCKnaus/OutcomeWeights/issues
Imports: ggplot2, grf, methods
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2024-11-20 13:34:23 UTC; Michael
Author: Michael C. Knaus [aut, cre] , Henri Pfleiderer [ctb]
Maintainer: Michael C. Knaus <michael.knaus@uni-tuebingen.de>
Repository: CRAN
Date/Publication: 2024-11-21 08:00:10 UTC

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New package CTTvis with initial version 0.1.0
Package: CTTvis
Title: Visualize Item Metrics of the Classical Test Theory Framework
Version: 0.1.0
Description: Visualizes results of item analysis such as item difficulty, item discrimination, and coefficient alpha for ease of result communication.
License: GPL-3
URL: https://github.com/TaridWong/CTTvis
Depends: R (>= 4.3)
Imports: CTT (>= 2.3.3)
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-11-20 06:38:06 UTC; tarid
Author: Tarid Wongvorachan [aut, cre, cph]
Maintainer: Tarid Wongvorachan <taridwongvorachan@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-21 07:30:07 UTC

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New package consrq with initial version 1.0
Package: consrq
Title: Constrained Quantile Regression
Version: 1.0
Date: 2024-11-20
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Suggests: Rfast2, cols
Imports: quantreg, Rfast
Description: Constrained quantile regression 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 beta coefficients lie within an interval. References: Koenker R. (2005) Quantile Regression, Cambridge University Press. <doi:10.1017/CBO9780511754098>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2024-11-20 13:44:36 UTC; mtsag
Repository: CRAN
Date/Publication: 2024-11-21 08:00:03 UTC

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New package cisp with initial version 0.1.0
Package: cisp
Title: A Correlation Indicator Based on Spatial Patterns
Version: 0.1.0
Description: Use the spatial association marginal contributions derived from spatial stratified heterogeneity to capture the degree of correlation between spatial patterns.
License: GPL-3
Encoding: UTF-8
URL: https://stscl.github.io/cisp/, https://github.com/stscl/cisp
BugReports: https://github.com/stscl/cisp/issues
Depends: R (>= 4.1.0)
Imports: dplyr, forcats, gdverse (>= 1.3), ggplot2, ggraph, igraph, magrittr, parallel, purrr, RColorBrewer, sdsfun (>= 0.4.3), sf, tibble, tidyr
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-11-20 13:40:22 UTC; dell
Author: Wenbo Lv [aut, cre, cph] , Yongze Song [aut] , Nan Jia [aut]
Maintainer: Wenbo Lv <lyu.geosocial@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-21 08:00:06 UTC

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New package AnomalyScore with initial version 0.1
Package: AnomalyScore
Title: Anomaly Scoring for Multivariate Time Series
Version: 0.1
Description: Compute an anomaly score for multivariate time series based on the k-nearest neighbors algorithm. Different computations of distances between time series are provided.
License: GPL (>= 3)
Imports: dtw, class, astsa, transport, marima, TSA, RANN, MASS, mvLSW, stats
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-11-20 14:21:40 UTC; guillermocgg
Author: Guillermo Granados [aut, cre]
Maintainer: Guillermo Granados <guillermo.granadosgarcia@outlook.com>
Repository: CRAN
Date/Publication: 2024-11-21 08:00:13 UTC

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Package fedregs (with last version 1.0.0) was removed from CRAN

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

2019-09-16 1.0.0
2019-02-04 0.1.1

Permanent link
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>

Diff between synMicrodata versions 2.0.0 dated 2024-04-07 and 2.1.0 dated 2024-11-21

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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>

Diff between DEPONS2R versions 1.2.3 dated 2024-06-28 and 1.2.4 dated 2024-11-20

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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>

Diff between lmls versions 0.1.0 dated 2022-01-18 and 0.1.1 dated 2024-11-20

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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>

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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>

Diff between snotelr versions 1.5.1 dated 2024-10-02 and 1.5.2 dated 2024-11-20

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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>

Diff between prnsamplr versions 0.3.0 dated 2023-03-08 and 1.0.0 dated 2024-11-20

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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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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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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>

Diff between eoa3 versions 1.0.0.1 dated 2023-07-04 and 1.0.0.2 dated 2024-11-19

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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>

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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>

Diff between CDsampling versions 0.1.1 dated 2024-10-13 and 0.1.2 dated 2024-11-19

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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>

Diff between HMMRel versions 0.1.0 dated 2024-11-15 and 0.1.1 dated 2024-11-19

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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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New package pseudobibeR with initial version 1.2
Package: pseudobibeR
Title: Aggregate Counts of Linguistic Features
Version: 1.2
Date: 2024-11-18
Description: Calculates the lexicogrammatical and functional features described by Biber (1985) <doi:10.1515/ling.1985.23.2.337> and widely used for text-type, register, and genre classification tasks.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: TRUE
Depends: R (>= 3.5.0)
Imports: dplyr, purrr, quanteda, quanteda.textstats, rlang, stringr, tibble, magrittr
Suggests: testthat (>= 3.0.0), udpipe
NeedsCompilation: no
Packaged: 2024-11-18 19:20:40 UTC; alexreinhart
Author: David Brown [aut, cre] , Alex Reinhart [aut]
Maintainer: David Brown <dwb2@andrew.cmu.edu>
Repository: CRAN
Date/Publication: 2024-11-19 12:20:06 UTC

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New package mvvg with initial version 0.1.0
Package: mvvg
Title: Matrix-Variate Variance-Gamma Distribution
Version: 0.1.0
Description: Rudimentary functions for sampling and calculating density from the matrix-variate variance-gamma distribution.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: MixMatrix, nlme, psych
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2024-11-18 20:58:53 UTC; soonsk
Author: Samuel Soon [aut, cre]
Maintainer: Samuel Soon <samksoon2@gmail.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2024-11-19 12:20:27 UTC

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New package LFM with initial version 0.1.0
Package: LFM
Title: Laplace Factor Model Analysis and Evaluation
Date: 2024-11-18
Version: 0.1.0
Description: Enables the generation of Laplace factor models across diverse Laplace distributions and facilitates the application of Sparse Online Principal Component (SOPC), Incremental Principal Component (IPC), Parallel Principal Component (PPC), Sparse Approximate Principal Component (SAPC), Standard Principal Component (SPC), and Farm Test methods to these models. Evaluates the efficacy of these methods within the context of Laplace factor models by scrutinizing parameter estimation accuracy, mean square error, and the degree of sparsity.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats, FarmTest, MASS, SOPC, LaplacesDemon, matrixcalc, relliptical
NeedsCompilation: no
Language: en-US
Author: Guangbao Guo [aut, cre], Siqi Liu [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>
Depends: R (>= 3.5.0)
BuildManual: yes
Suggests: testthat (>= 3.0.0)
Packaged: 2024-11-18 10:54:04 UTC; R7000
Repository: CRAN
Date/Publication: 2024-11-19 12:30:09 UTC

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New package GRIN2 with initial version 1.0
Package: GRIN2
Title: Genomic Random Interval (GRIN)
Version: 1.0
Description: Improved version of 'GRIN' software that streamlines its use in practice to analyze genomic lesion data, accelerate its computing, and expand its analysis capabilities to answer additional scientific questions including a rigorous evaluation of the association of genomic lesions with RNA expression. Pounds, Stan, et al. (2013) <DOI:10.1093/bioinformatics/btt372>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: biomaRt, circlize, ComplexHeatmap, data.table, dplyr, EnsDb.Hsapiens.v75, ensembldb, forcats, GenomeInfoDb, ggplot2, graphics, grDevices, grid, gridGraphics, Gviz, magrittr, stats, stringr, survival, tibble, tidyselect, utils, writexl
Suggests: knitr, rmarkdown
NeedsCompilation: no
Maintainer: Abdelrahman Elsayed <aelsayed@stjude.org>
Depends: R (>= 4.2.0)
LazyData: true
VignetteBuilder: knitr
URL: https://github.com/abdel-elsayed87/GRIN2
BugReports: https://github.com/abdel-elsayed87/GRIN2/issues
Packaged: 2024-11-18 22:39:09 UTC; aelsa
Author: Abdelrahman Elsayed [aut, cre, cph] , Xueyuan Cao [aut], Lakshmi Anuhya patibandla [aut], Stanley Pounds [aut, cph]
Repository: CRAN
Date/Publication: 2024-11-19 12:30:36 UTC

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New package forestdynR with initial version 0.0.1
Package: forestdynR
Title: Calculate Forest Dynamics
Version: 0.0.1
Maintainer: Pedro Higuchi <higuchip@gmail.com>
Description: Determines the dynamics of tree species communities (mortality rates, recruitment, loss and gain in basal area, net changes and turnover). Important notes are a) The 'forest_df' argument (data) must contain the columns 'plot' (plot identification), 'spp' (species identification), DBH_1 (Diameter at breast height in first year of measure) and DBH_2 (Diameter at breast height in second year of measure). DBH_1 and DBH_2 must be numeric values; b) example input file in 'data(forest_df_example)'; c) The argument 'inv_time' represents the time between inventories, in years; d) The 'coord' argument must be of the type 'c(longitude, latitude)', with decimal degree values; e) Argument 'add_wd' represents a dataframe with wood density values (g cm-3) format with three columns ('genus', 'species', 'wd'). This argument is set to NULL by default, and if isn't provided, the wood density will be estimated with the getWoodDensity() function from the 'BIOMASS' package.
License: GPL (>= 2)
URL: https://github.com/higuchip/forestdynR
BugReports: https://github.com/higuchip/forestdynR/issues
Depends: R (>= 4.3.0)
Imports: BIOMASS (>= 2.1.11), tcltk (>= 1.0.0),
Suggests: covr, knitr, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2024-11-18 20:37:29 UTC; optimus-prime
Author: Pedro Higuchi [cre, aut], Ana Carolina Silva [aut], Adam Slabadack [aut]
Repository: CRAN
Date/Publication: 2024-11-19 12:20:41 UTC

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New package talkr with initial version 0.1.3
Package: talkr
Title: Plotting Conversation Data
Version: 0.1.3
Description: Visualisation, analysis and quality control of conversational data. Rapid and visual insights into the nature, timing and quality of time-aligned annotations in conversational corpora. For more details, see Dingemanse et al., (2022) <doi:10.18653/v1/2022.acl-long.385>.
License: Apache License (>= 2)
Encoding: UTF-8
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
Imports: cowplot, dplyr, ggplot2, ggthemes, knitr, stats, stringr, tidyr, tidyselect
Suggests: rmarkdown, testthat (>= 3.0.0), pkgdown, ggrepel, utils
NeedsCompilation: no
Packaged: 2024-11-15 13:53:36 UTC; pablo
Author: Mark Dingemanse [aut, cre], Barbara Vreede [aut], Eva Viviani [aut], Pablo Rodriguez-Sanchez [aut], Andreas Liesenfeld [ctb], Netherlands eScience Center [cph, fnd]
Maintainer: Mark Dingemanse <mark.dingemanse@ru.nl>
Repository: CRAN
Date/Publication: 2024-11-19 11:50:03 UTC

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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>

Diff between mlt.docreg versions 1.1-9 dated 2024-09-20 and 1.1-10 dated 2024-11-19

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New package ecdata with initial version 1.1.1
Package: ecdata
Title: Loads Data from the Executive Communications Dataset
Version: 1.1.1
Description: A minimal package for downloading data from 'GitHub' repositories of the Executive Communications Database.
License: CC BY 4.0
Encoding: UTF-8
LazyData: true
URL: https://github.com/Executive-Communications-Dataset/ecdata,https://executive-communications-dataset.github.io/ecdata/
BugReports: https://github.com/Executive-Communications-Dataset/ecdata/issues
Depends: R (>= 4.0)
Imports: arrow (>= 16.1.0), cli (>= 3.6.3), rlang (>= 1.1.0), glue (>= 1.4.0), piggyback (>= 0.1.5), utils, tools, cachem (>= 1.0.0), memoise (>= 2.0.0), vctrs, curl
Suggests: duckplyr, testthat (>= 3.0.0), data.table, dplyr, altdoc, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-11-18 18:12:34 UTC; josh
Author: Joshua Allen [aut, cre, cph] , Ryan Carlin [ctb], Juan Gomez-Gomez-Cruces [ctb], Will Horne [aut, ctb], Jamie Lindh [ctb], Cecilia Martinez-Gallardo [ctb], Miles Massesy [ctb]
Maintainer: Joshua Allen <joshua.f.allen@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-19 12:00:10 UTC

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New package CSTE with initial version 3.0.0
Package: CSTE
Version: 3.0.0
Date: 2024-11-16
Title: Covariate Specific Treatment Effect (CSTE) Curve
Description: A uniform statistical inferential tool in making individualized treatment decisions, which implements the methods of Ma et al. (2017)<DOI:10.1177/0962280214541724> and Guo et al. (2021)<DOI:10.1080/01621459.2020.1865167>. It uses a flexible semiparametric modeling strategy for heterogeneous treatment effect estimation in high-dimensional settings and can gave valid confidence bands. Based on it, one can find the subgroups of patients that benefit from each treatment, thereby making individualized treatment selection.
License: GPL (>= 2)
Encoding: UTF-8
Imports: Rcpp (>= 1.0.4), fda, splines, survival, locpol, dfoptim
LinkingTo: Rcpp
Suggests: mvtnorm, sigmoid
NeedsCompilation: yes
Packaged: 2024-11-18 16:47:21 UTC; wenjiehu
Author: Peng Wu [aut], Wenjie Hu [aut, cre], Yuhao Deng [aut], Haoxiang Wang [aut], Xiaohua Zhou [aut]
Maintainer: Wenjie Hu <huwenjie@pku.edu.cn>
Repository: CRAN
Date/Publication: 2024-11-19 12:00:15 UTC

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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>

Diff between spatstat.linnet versions 3.2-2 dated 2024-09-20 and 3.2-3 dated 2024-11-19

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