Wed, 08 Jan 2025

Package rlistings updated to version 0.2.10 with previous version 0.2.9 dated 2024-06-20

Title: Clinical Trial Style Data Readout Listings
Description: Listings are often part of the submission of clinical trial data in regulatory settings. We provide a framework for the specific formatting features often used when displaying large datasets in that context.
Author: Gabriel Becker [aut] , Adrian Waddell [aut], Joe Zhu [aut, cre] , Davide Garolini [aut], Emily de la Rua [aut], Abinaya Yogasekaram [ctb], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Joe Zhu <joe.zhu@roche.com>

Diff between rlistings versions 0.2.9 dated 2024-06-20 and 0.2.10 dated 2025-01-08

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Package healthyAddress updated to version 0.4.5 with previous version 0.4.3 dated 2024-07-30

Title: Convert Addresses to Standard Inputs
Description: Efficient tools for parsing and standardizing Australian addresses from textual data. It utilizes optimized algorithms to accurately identify and extract components of addresses, such as street names, types, and postcodes, especially for large batched data in contexts where sending addresses to internet services may be slow or inappropriate. The core functionality is built on fast string processing techniques to handle variations in address formats and abbreviations commonly found in Australian address data. Designed for data scientists, urban planners, and logistics analysts, the package facilitates the cleaning and normalization of address information, supporting better data integration and analysis in urban studies, geography, and related fields.
Author: Hugh Parsonage [aut, cre]
Maintainer: Hugh Parsonage <hugh.parsonage@gmail.com>

Diff between healthyAddress versions 0.4.3 dated 2024-07-30 and 0.4.5 dated 2025-01-08

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Package EMCluster updated to version 0.2-17 with previous version 0.2-16 dated 2024-09-08

Title: EM Algorithm for Model-Based Clustering of Finite Mixture Gaussian Distribution
Description: EM algorithms and several efficient initialization methods for model-based clustering of finite mixture Gaussian distribution with unstructured dispersion in both of unsupervised and semi-supervised learning.
Author: Wei-Chen Chen [aut, cre], Ranjan Maitra [aut], Volodymyr Melnykov [ctb], Dan Nettleton [ctb], David Faden [ctb], Rouben Rostamian [ctb], R Core team [ctb]
Maintainer: Wei-Chen Chen <wccsnow@gmail.com>

Diff between EMCluster versions 0.2-16 dated 2024-09-08 and 0.2-17 dated 2025-01-08

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Package aelab updated to version 1.0.1 with previous version 0.4.0 dated 2024-07-08

Title: Data Processing for Aquatic Ecology
Description: Facilitate the analysis of data related to aquatic ecology, specifically the establishment of carbon budget. Currently, the package allows the below analysis. (i) the calculation of greenhouse gas flux based on data obtained from trace gas analyzer using the method described in Lin et al. (2024). (ii) the calculation of Dissolved Oxygen (DO) metabolism based on data obtained from dissolved oxygen data logger using the method described in Staehr et al. (2010). Yong et al. (2024) <doi:10.5194/bg-21-5247-2024>. Staehr et al. (2010) <doi:10.4319/lom.2010.8.0628>.
Author: Zhao-Jun Yong [cre, aut]
Maintainer: Zhao-Jun Yong <nuannuan0425@gmail.com>

Diff between aelab versions 0.4.0 dated 2024-07-08 and 1.0.1 dated 2025-01-08

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Package rquest updated to version 1.0.3 with previous version 1.0.2 dated 2024-10-14

Title: Hypothesis Tests for Quantiles and Quantile-Based Measures
Description: Functions to conduct hypothesis tests and derive confidence intervals for quantiles, linear combinations of quantiles, ratios of dependent linear combinations and differences and ratios of all of the above for comparisons between independent samples. Additionally, quantile-based measures of inequality are also considered.
Author: Shenal Dedduwakumara [aut, cre], Luke Prendergast [aut], Robert Staudte [aut]
Maintainer: Shenal Dedduwakumara <shenal.dedduwakumara@adelaide.edu.au>

Diff between rquest versions 1.0.2 dated 2024-10-14 and 1.0.3 dated 2025-01-08

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Package RcppCGAL updated to version 6.0.1 with previous version 6.0 dated 2024-12-11

Title: 'Rcpp' Integration for 'CGAL'
Description: Creates a header only package to link to the 'CGAL' (Computational Geometry Algorithms Library) header files in 'Rcpp'. There are a variety of potential uses for the software such as Hilbert sorting, K-D Tree nearest neighbors, and convex hull algorithms. For more information about how to use the header files, see the 'CGAL' documentation at <https://www.cgal.org>. Currently downloads version 6.0.1 of the 'CGAL' header files.
Author: Eric Dunipace [aut, cre] , Tyler Morgan-Wall [ctb], The CGAL Project [cph]
Maintainer: Eric Dunipace <edunipace@mail.harvard.edu>

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Package survivoR updated to version 2.3.5 with previous version 2.3.4 dated 2024-06-29

Title: Data from all Seasons of Survivor (US) TV Series in Tidy Format
Description: Datasets detailing the results, castaways, and events of each season of Survivor for the US, Australia, South Africa, New Zealand, and the UK. This includes details on the cast, voting history, immunity and reward challenges, jury votes, boot order, advantage details, and episode ratings. Use this for analysis of trends and statistics of the game.
Author: Daniel Oehm [aut, cre], Carly Levitz [ctb], Dario Mavec [ctb]
Maintainer: Daniel Oehm <danieloehm@gmail.com>

Diff between survivoR versions 2.3.4 dated 2024-06-29 and 2.3.5 dated 2025-01-08

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Package LSX updated to version 1.4.2 with previous version 1.4.0 dated 2024-03-05

Title: Semi-Supervised Algorithm for Document Scaling
Description: A word embeddings-based semi-supervised model for document scaling Watanabe (2020) <doi:10.1080/19312458.2020.1832976>. LSS allows users to analyze large and complex corpora on arbitrary dimensions with seed words exploiting efficiency of word embeddings (SVD, Glove). It can generate word vectors on a users-provided corpus or incorporate a pre-trained word vectors.
Author: Kohei Watanabe [aut, cre, cph]
Maintainer: Kohei Watanabe <watanabe.kohei@gmail.com>

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Package lordif updated to version 0.4.2 with previous version 0.3-3 dated 2016-03-03

Title: Logistic Ordinal Regression Differential Item Functioning using IRT
Description: Performs analysis of Differential Item Functioning (DIF) for dichotomous and polytomous items using an iterative hybrid of ordinal logistic regression and item response theory (IRT) according to Choi, Gibbons, and Crane (2011) <doi:10.18637/jss.v039.i08>.
Author: Seung W. Choi [aut, cre], Laura E. Gibbons [aut], Paul K. Crane [aut]
Maintainer: Seung W. Choi <schoi@austin.utexas.edu>

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Package gtfstools updated to version 1.4.0 with previous version 1.3.0 dated 2024-10-07

Title: General Transit Feed Specification (GTFS) Editing and Analysing Tools
Description: Utility functions to read, manipulate, analyse and write transit feeds in the General Transit Feed Specification (GTFS) data format.
Author: Daniel Herszenhut [aut, cre] , Rafael H. M. Pereira [aut] , Pedro R. Andrade [aut] , Joao Bazzo [aut] , Mark Padgham [ctb], Marcus Saraiva [ctb] , Ipea - Institute for Applied Economic Research [cph, fnd]
Maintainer: Daniel Herszenhut <dhersz@gmail.com>

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Package formatters updated to version 0.5.10 with previous version 0.5.9 dated 2024-09-12

Title: ASCII Formatting for Values and Tables
Description: We provide a framework for rendering complex tables to ASCII, and a set of formatters for transforming values or sets of values into ASCII-ready display strings.
Author: Gabriel Becker [aut] , Adrian Waddell [aut], Davide Garolini [aut], Emily de la Rua [aut], Abinaya Yogasekaram [ctb], Joe Zhu [aut, cre] , F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Joe Zhu <joe.zhu@roche.com>

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Package beezdiscounting updated to version 0.3.2 with previous version 0.3.1 dated 2023-11-16

Title: Behavioral Economic Easy Discounting
Description: Facilitates some of the analyses performed in studies of behavioral economic discounting. The package supports scoring of the 27-Item Monetary Choice Questionnaire (see Kaplan et al., 2016; <doi:10.1007/s40614-016-0070-9>), calculating k values (Mazur's simple hyperbolic and exponential) using nonlinear regression, calculating various Area Under the Curve (AUC) measures, plotting regression curves for both fit-to-group and two-stage approaches, checking for unsystematic discounting (Johnson & Bickel, 2008; <doi:10.1037/1064-1297.16.3.264>) and scoring of the minute discounting task (see Koffarnus & Bickel, 2014; <doi:10.1037/a0035973>) using the Qualtrics 5-trial discounting template (see the Qualtrics Minute Discounting User Guide; <doi:10.13140/RG.2.2.26495.79527>), which is also available as a .qsf file in this package.
Author: Brent A. Kaplan [aut, cre, cph]
Maintainer: Brent A. Kaplan <bkaplan.ku@gmail.com>

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Package SchoolDataIT updated to version 0.2.3 with previous version 0.2.2 dated 2024-11-14

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

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Package genMCMCDiag updated to version 0.2.3 with previous version 0.2.2 dated 2024-07-12

Title: Generalized Convergence Diagnostics for Difficult MCMC Algorithms
Description: Trace plots and convergence diagnostics for Markov Chain Monte Carlo (MCMC) algorithms on highly multivariate or unordered spaces. Methods outlined in a forthcoming paper.
Author: Luke Duttweiler [aut, cre, cph]
Maintainer: Luke Duttweiler <lduttweiler@hsph.harvard.edu>

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Package distantia updated to version 2.0.0 with previous version 1.0.2 dated 2019-10-28

Title: Advanced Toolset for Efficient Time Series Dissimilarity Analysis
Description: Fast C++ implementation of Dynamic Time Warping for time series dissimilarity analysis, with applications in environmental monitoring and sensor data analysis, climate science, signal processing and pattern recognition, and financial data analysis. Built upon the ideas presented in Benito and Birks (2020) <doi:10.1111/ecog.04895>, provides tools for analyzing time series of varying lengths and structures, including irregular multivariate time series. Key features include individual variable contribution analysis, restricted permutation tests for statistical significance, and imputation of missing data via GAMs. Additionally, the package provides an ample set of tools to prepare and manage time series data.
Author: Blas M. Benito [aut, cre, cph]
Maintainer: Blas M. Benito <blasbenito@gmail.com>

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 374 files changed, 1324 insertions(+), 25214 deletions(-)

More information about distantia at CRAN
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Package corrfuns updated to version 1.2 with previous version 1.0 dated 2023-10-27

Title: Correlation Coefficient Related Functions
Description: Many correlation coefficient related functions are offered, such as correlations, partial correlations and hypothesis testing using asymptotic tests and computer intensive methods (bootstrap and permutation). References include Mardia K.V., Kent J.T. and Bibby J.M. (1979). "Multivariate Analysis". ISBN: 978-0124712522. London: Academic Press and Owen A. B. (2001). "Empirical likelihood". Chapman and Hall/CRC Press. ISBN: 9781584880714.
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

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Package CooRTweet updated to version 2.1.0 with previous version 2.0.2 dated 2024-03-29

Title: Coordinated Networks Detection on Social Media
Description: Detects a variety of coordinated actions on social media and outputs the network of coordinated users along with related information.
Author: Nicola Righetti [aut, cre] , Paul Balluff [aut]
Maintainer: Nicola Righetti <nicola.righetti@uniurb.it>

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Package colourvision updated to version 2.1.0 with previous version 2.0.4 dated 2021-08-01

Title: Colour Vision Models
Description: Colour vision models, colour spaces and colour thresholds. Provides flexibility to build user-defined colour vision models for n number of photoreceptor types. Includes Vorobyev & Osorio (1998) Receptor Noise Limited models <doi:10.1098/rspb.1998.0302>, Chittka (1992) colour hexagon <doi:10.1007/BF00199331>, and Endler & Mielke (2005) model <doi:10.1111/j.1095-8312.2005.00540.x>. Models have been extended to accept any number of photoreceptor types.
Author: Felipe Malheiros Gawryszewski [aut, cre]
Maintainer: Felipe Malheiros Gawryszewski <f.gawry@gmail.com>

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Package spinifex updated to version 0.3.8 with previous version 0.3.7.0 dated 2024-01-29

Title: Manual Tours, Manual Control of Dynamic Projections of Numeric Multivariate Data
Description: Data visualization tours animates linear projection of multivariate data as its basis (ie. orientation) changes. The 'spinifex' packages generates paths for manual tours by manipulating the contribution of a single variable at a time Cook & Buja (1997) <doi:10.1080/10618600.1997.10474754>. Other types of tours, such as grand (random walk) and guided (optimizing some objective function) are available in the 'tourr' package Wickham et al. <doi:10.18637/jss.v040.i02>. 'spinifex' builds on 'tourr' and can render tours with 'gganimate' and 'plotly' graphics, and allows for exporting as an .html widget and as an .gif, respectively. This work is fully discussed in Spyrison & Cook (2020) <doi:10.32614/RJ-2020-027>.
Author: Nicholas Spyrison [aut, cre] , Dianne Cook [aut, ths]
Maintainer: Nicholas Spyrison <spyrison@gmail.com>

Diff between spinifex versions 0.3.7.0 dated 2024-01-29 and 0.3.8 dated 2025-01-08

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Package QuantBondCurves updated to version 0.3.1 with previous version 0.3.0 dated 2024-05-16

Title: Calculates Bond Values and Interest Rate Curves for Finance
Description: Values different types of assets and calibrates discount curves for quantitative financial analysis. It covers fixed coupon assets, floating note assets, interest and cross currency swaps with different payment frequencies. Enables the calibration of spot, instantaneous forward and basis curves, making it a powerful tool for accurate and flexible bond valuation and curve generation. The valuation and calibration techniques presented here are consistent with industry standards and incorporates author's own calculations. Tuckman, B., Serrat, A. (2022, ISBN: 978-1-119-83555-4).
Author: Camilo Diaz [aut, cre, com], Andres Galeano [aut], Julian Rojas [aut], Quantil S.A.S [aut, cph]
Maintainer: Camilo Diaz <kamodiaz@gmail.com>

Diff between QuantBondCurves versions 0.3.0 dated 2024-05-16 and 0.3.1 dated 2025-01-08

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Package pomp updated to version 6.1 with previous version 5.11 dated 2024-09-12

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

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More information about pomp at CRAN
Permanent link

Package eatRep updated to version 0.15.0 with previous version 0.14.7 dated 2023-03-26

Title: Educational Assessment Tools for Replication Methods
Description: Replication methods to compute some basic statistic operations (means, standard deviations, frequency tables, percentiles, mean comparisons using weighted effect coding, generalized linear models, and linear multilevel models) in complex survey designs comprising multiple imputed or nested imputed variables and/or a clustered sampling structure which both deserve special procedures at least in estimating standard errors. See the package documentation for a more detailed description along with references.
Author: Sebastian Weirich [aut, cre], Martin Hecht [aut], Karoline Sachse [aut], Benjamin Becker [aut], Edna Grewers [ctb]
Maintainer: Sebastian Weirich <sebastian.weirich@iqb.hu-berlin.de>

Diff between eatRep versions 0.14.7 dated 2023-03-26 and 0.15.0 dated 2025-01-08

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Permanent link

Package StatMatch updated to version 1.4.3 with previous version 1.4.2 dated 2024-05-13

Title: Statistical Matching or Data Fusion
Description: Integration of two data sources referred to the same target population which share a number of variables. Some functions can also be used to impute missing values in data sets through hot deck imputation methods. Methods to perform statistical matching when dealing with data from complex sample surveys are available too.
Author: Marcello D'Orazio [aut, cre]
Maintainer: Marcello D'Orazio <mdo.statmatch@gmail.com>

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Package processx updated to version 3.8.5 with previous version 3.8.4 dated 2024-03-16

Title: Execute and Control System Processes
Description: Tools to run system processes in the background. It can check if a background process is running; wait on a background process to finish; get the exit status of finished processes; kill background processes. It can read the standard output and error of the processes, using non-blocking connections. 'processx' can poll a process for standard output or error, with a timeout. It can also poll several processes at once.
Author: Gabor Csardi [aut, cre, cph] , Winston Chang [aut], Posit Software, PBC [cph, fnd], Ascent Digital Services [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

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Package morrowplots updated to version 0.2.0 with previous version 0.1.0 dated 2024-05-07

Title: Historical Agricultural Data from the University of Illinois
Description: Agricultural data for 1888-2021 from the Morrow Plots at the University of Illinois. The world's second oldest ongoing agricultural experiment, the Morrow Plots measure the impact of crop rotation and fertility treatments on corn yields. The data includes planting information and annual yield measures for corn grown continuously and in rotation with other crops, in treated and untreated soil.
Author: Sandi Caldrone [cre, aut, cph] , Heidi Imker [aut, cph] , Josh Henry [aut, cph] , Brooke Anderson [ctb]
Maintainer: Sandi Caldrone <caldron2@illinois.edu>

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Package IntNMF updated to version 1.3.0 with previous version 1.2.0 dated 2018-07-18

Title: Integrative Clustering of Multiple Genomic Dataset
Description: Carries out integrative clustering analysis using multiple types of genomic dataset using integrative Non-negative Matrix factorization.
Author: Prabhakar Chalise [aut, cre], Rama Raghavan [aut], Brooke Fridley [aut]
Maintainer: Prabhakar Chalise <pchalise@kumc.edu>

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Package dpkg updated to version 0.6.1 with previous version 0.6.0 dated 2024-11-04

Title: Create, Stow, and Read Data Packages
Description: Data frame, tibble, or tbl objects are converted to data package objects using specific metadata labels (name, version, title, homepage, description). A data package object ('dpkg') can be written to disk as a 'parquet' file or released to a 'GitHub' repository. Data package objects can be read into R from online repositories and downloaded files are cached locally across R sessions.
Author: Cole Brokamp [aut, cre, cph]
Maintainer: Cole Brokamp <cole@colebrokamp.com>

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Package vannstats updated to version 1.5.1.8 with previous version 1.3.4.14 dated 2023-04-15

Title: Simplified Statistical Procedures for Social Sciences
Description: Simplifies functions assess normality for bivariate and multivariate statistical techniques. Includes functions designed to replicate plots and tables that would result from similar calls in 'SPSS', including hst(), box(), qq(), tab(), cormat(), and residplot(). Also includes simplified formulae, such as mode(), scatter(), p.corr(), ow.anova(), and rm.anova().
Author: Burrel Vann Jr [aut, cre]
Maintainer: Burrel Vann Jr <bvannjr@sdsu.edu>

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Package isotree updated to version 0.6.1-4 with previous version 0.6.1-1 dated 2024-03-27

Title: Isolation-Based Outlier Detection
Description: Fast and multi-threaded implementation of isolation forest (Liu, Ting, Zhou (2008) <doi:10.1109/ICDM.2008.17>), extended isolation forest (Hariri, Kind, Brunner (2018) <doi:10.48550/arXiv.1811.02141>), SCiForest (Liu, Ting, Zhou (2010) <doi:10.1007/978-3-642-15883-4_18>), fair-cut forest (Cortes (2021) <doi:10.48550/arXiv.2110.13402>), robust random-cut forest (Guha, Mishra, Roy, Schrijvers (2016) <http://proceedings.mlr.press/v48/guha16.html>), and customizable variations of them, for isolation-based outlier detection, clustered outlier detection, distance or similarity approximation (Cortes (2019) <doi:10.48550/arXiv.1910.12362>), isolation kernel calculation (Ting, Zhu, Zhou (2018) <doi:10.1145/3219819.3219990>), and imputation of missing values (Cortes (2019) <doi:10.48550/arXiv.1911.06646>), based on random or guided decision tree splitting, and providing different metrics for scoring anomalies based on isolation depth or density (Co [...truncated...]
Author: David Cortes [aut, cre, cph], Thibaut Goetghebuer-Planchon [cph] , David Blackman [cph] , Sebastiano Vigna [cph] , NumPy Developers [cph] , SciPy Developers [cph] , Enthought Inc [cph] , Stephen Moshier [cph]
Maintainer: David Cortes <david.cortes.rivera@gmail.com>

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Package georob updated to version 0.3-21 with previous version 0.3-20 dated 2024-09-05

Title: Robust Geostatistical Analysis of Spatial Data
Description: Provides functions for efficiently fitting linear models with spatially correlated errors by robust (Kuensch et al. (2011) <doi:10.3929/ethz-a-009900710>) and Gaussian (Harville (1977) <doi:10.1080/01621459.1977.10480998>) (Restricted) Maximum Likelihood and for computing robust and customary point and block external-drift Kriging predictions (Cressie (1993) <doi:10.1002/9781119115151>), along with utility functions for variogram modelling in ad hoc geostatistical analyses, model building, model evaluation by cross-validation, (conditional) simulation of Gaussian processes (Davies and Bryant (2013) <doi:10.18637/jss.v055.i09>), unbiased back-transformation of Kriging predictions of log-transformed data (Cressie (2006) <doi:10.1007/s11004-005-9022-8>).
Author: Andreas Papritz [aut, cre]
Maintainer: Andreas Papritz <papritz@retired.ethz.ch>

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Package PvSTATEM updated to version 0.1.3 with previous version 0.1.2 dated 2024-11-08

Title: Reading, Quality Control and Preprocessing of MBA (Multiplex Bead Assay) Data
Description: Speeds up the process of loading raw data from MBA (Multiplex Bead Assay) examinations, performs quality control checks, and automatically normalises the data, preparing it for more advanced, downstream tasks. The main objective of the package is to create a simple environment for a user, who does not necessarily have experience with R language. The package is developed within the project of the same name - 'PvSTATEM', which is an international project aiming for malaria elimination.
Author: Tymoteusz Kwiecinski [aut, cre] , Jakub Grzywaczewski [aut], Mateusz Nizwantowski [aut], Przemyslaw Biecek [ths] , Nuno Sepulveda [ths]
Maintainer: Tymoteusz Kwiecinski <tymoteuszkwiecinski@gmail.com>

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Package mvcor updated to version 1.1 with previous version 1.0 dated 2024-09-15

Title: Correlation Coefficients for Multivariate Data
Description: Correlation coefficients for multivariate data, namely the squared correlation coefficient and the RV coefficient (multivariate generalization of the squared Pearson correlation coefficient). References include Mardia K.V., Kent J.T. and Bibby J.M. (1979). "Multivariate Analysis". ISBN: 978-0124712522. London: Academic Press.
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

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Package multibias updated to version 1.6.2 with previous version 1.6.1 dated 2024-12-02

Title: Simultaneous Multi-Bias Adjustment
Description: Quantify the causal effect of a binary exposure on a binary outcome with adjustment for multiple biases. The functions can simultaneously adjust for any combination of uncontrolled confounding, exposure/outcome misclassification, and selection bias. The underlying method generalizes the concept of combining inverse probability of selection weighting with predictive value weighting. Simultaneous multi-bias analysis can be used to enhance the validity and transparency of real-world evidence obtained from observational, longitudinal studies. Based on the work from Paul Brendel, Aracelis Torres, and Onyebuchi Arah (2023) <doi:10.1093/ije/dyad001>.
Author: Paul Brendel [aut, cre, cph]
Maintainer: Paul Brendel <pcbrendel@gmail.com>

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Package blavaan updated to version 0.5-8 with previous version 0.5-6 dated 2024-09-04

Title: Bayesian Latent Variable Analysis
Description: Fit a variety of Bayesian latent variable models, including confirmatory factor analysis, structural equation models, and latent growth curve models. References: Merkle & Rosseel (2018) <doi:10.18637/jss.v085.i04>; Merkle et al. (2021) <doi:10.18637/jss.v100.i06>.
Author: Edgar Merkle [aut, cre] , Yves Rosseel [aut], Ben Goodrich [aut], Mauricio Garnier-Villarreal [ctb] , Terrence D. Jorgensen [ctb] , Huub Hoofs [ctb] , Rens van de Schoot [ctb] , Andrew Johnson [ctb] , Matthew Emery [ctb]
Maintainer: Edgar Merkle <merklee@missouri.edu>

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Package bivpois updated to version 1.1 with previous version 1.0 dated 2023-10-19

Title: Bivariate Poisson Distribution
Description: Maximum likelihood estimation, random values generation, density computation and other functions for the bivariate Poisson distribution. References include: Kawamura K. (1984). "Direct calculation of maximum likelihood estimator for the bivariate Poisson distribution". Kodai Mathematical Journal, 7(2): 211--221. <doi:10.2996/kmj/1138036908>. Kocherlakota S. and Kocherlakota K. (1992). "Bivariate discrete distributions". CRC Press. <doi:10.1201/9781315138480>. Karlis D. and Ntzoufras I. (2003). "Analysis of sports data by using bivariate Poisson models". Journal of the Royal Statistical Society: Series D (The Statistician), 52(3): 381--393. <doi:10.1111/1467-9884.00366>.
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

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Package moRphomenses updated to version 1.0.3 with previous version 1.0.2 dated 2024-12-12

Title: Geometric Morphometric Tools to Align, Scale, and Compare "Shape" of Menstrual Cycle Hormones
Description: Mitteroecker & Gunz (2009) <doi:10.1007/s11692-009-9055-x> describe how geometric morphometric methods allow researchers to quantify the size and shape of physical biological structures. We provide tools to extend geometric morphometric principles to the study of non-physical structures, hormone profiles, as outlined in Ehrlich et al (2021) <doi:10.1002/ajpa.24514>. Easily transform daily measures into multivariate landmark-based data. Includes custom functions to apply multivariate methods for data exploration as well as hypothesis testing. Also includes 'shiny' web app to streamline data exploration. Developed to study menstrual cycle hormones but functions have been generalized and should be applicable to any biomarker over any time period.
Author: Daniel Ehrlich [aut, cre]
Maintainer: Daniel Ehrlich <dan.ehrlich.e@gmail.com>

Diff between moRphomenses versions 1.0.2 dated 2024-12-12 and 1.0.3 dated 2025-01-08

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Package customizedTraining updated to version 1.3 with previous version 1.2 dated 2019-01-29

Title: Customized Training for Lasso and Elastic-Net Regularized Generalized Linear Models
Description: Customized training is a simple technique for transductive learning, when the test covariates are known at the time of training. The method identifies a subset of the training set to serve as the training set for each of a few identified subsets in the training set. This package implements customized training for the glmnet() and cv.glmnet() functions.
Author: Scott Powers [aut, cre], Trevor Hastie [aut], Robert Tibshirani [aut]
Maintainer: Scott Powers <saberpowers@gmail.com>

Diff between customizedTraining versions 1.2 dated 2019-01-29 and 1.3 dated 2025-01-08

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Package Modeler updated to version 3.4.7 with previous version 3.4.5 dated 2019-05-06

Title: Classes and Methods for Training and Using Binary Prediction Models
Description: Defines classes and methods to learn models and use them to predict binary outcomes. These are generic tools, but we also include specific examples for many common classifiers.
Author: Kevin R. Coombes [aut, cre]
Maintainer: Kevin R. Coombes <krc@silicovore.com>

Diff between Modeler versions 3.4.5 dated 2019-05-06 and 3.4.7 dated 2025-01-08

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 MD5                  |    8 ++++----
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Package mirai updated to version 2.0.0 with previous version 1.3.1 dated 2024-11-15

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

Diff between mirai versions 1.3.1 dated 2024-11-15 and 2.0.0 dated 2025-01-08

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Package fdaPDE updated to version 1.1-21 with previous version 1.1-20 dated 2024-09-17

Title: Physics-Informed Spatial and Functional Data Analysis
Description: An implementation of regression models with partial differential regularizations, making use of the Finite Element Method. The models efficiently handle data distributed over irregularly shaped domains and can comply with various conditions at the boundaries of the domain. A priori information about the spatial structure of the phenomenon under study can be incorporated in the model via the differential regularization. See Sangalli, L. M. (2021) <doi:10.1111/insr.12444> "Spatial Regression With Partial Differential Equation Regularisation" for an overview. The release 1.1-9 requires R (>= 4.2.0) to be installed on windows machines.
Author: Eleonora Arnone [aut, cre], Aldo Clemente [aut], Laura M. Sangalli [aut], Eardi Lila [aut], Jim Ramsay [aut], Luca Formaggia [aut], Giovanni Ardenghi [ctb], Blerta Begu [ctb], Michele Cavazzutti [ctb], Alessandra Colli [ctb], Alberto Colombo [ctb], L [...truncated...]
Maintainer: Eleonora Arnone <eleonora.arnone@polimi.it>

Diff between fdaPDE versions 1.1-20 dated 2024-09-17 and 1.1-21 dated 2025-01-08

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 15 files changed, 55 insertions(+), 61 deletions(-)

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New package vegIndexCalc with initial version 0.1.0
Package: vegIndexCalc
Title: Vegetation Indices (VIs) Calculation for Remote Sensing Analysis
Version: 0.1.0
Maintainer: Bijoy Chanda <bijoychanda08@gmail.com>
Description: It provides a comprehensive toolkit for calculating a suite of common vegetation indices (VIs) derived from remote sensing imagery. VIs are essential tools used to quantify vegetation characteristics, such as biomass, leaf area index (LAI) and photosynthetic activity, which are essential parameters in various ecological, agricultural, and environmental studies. Applications of this package include biomass estimation, crop monitoring, forest management, land use and land cover change analysis and climate change studies. For method details see, Deb,D.,Deb,S.,Chakraborty,D.,Singh,J.P.,Singh,A.K.,Dutta,P.and Choudhury,A.(2020)<doi:10.1080/10106049.2020.1756461>. Utilizing this R package, users can effectively extract and analyze critical information from remote sensing imagery, enhancing their comprehension of vegetation dynamics and their importance in global ecosystems. The package includes the function vegetation_indices().
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-01-08 08:02:46 UTC; ICAR-CAFRI
Author: Dibyendu Deb [aut, ctb], Arpan Bhowmik [aut, ctb], Bijoy Chanda [aut, cre, ctb], J.P. Singh [aut], Sunil Mandi [aut], Alemwati Pongener [aut]
Repository: CRAN
Date/Publication: 2025-01-08 16:30:01 UTC

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Package taxonomizr updated to version 0.10.7 with previous version 0.10.6 dated 2023-12-15

Title: Functions to Work with NCBI Accessions and Taxonomy
Description: Functions for assigning taxonomy to NCBI accession numbers and taxon IDs based on NCBI's accession2taxid and taxdump files. This package allows the user to download NCBI data dumps and create a local database for fast and local taxonomic assignment.
Author: Scott Sherrill-Mix [aut, cre]
Maintainer: Scott Sherrill-Mix <ssm@msu.edu>

Diff between taxonomizr versions 0.10.6 dated 2023-12-15 and 0.10.7 dated 2025-01-08

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 9 files changed, 455 insertions(+), 235 deletions(-)

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New package rmlnomogram with initial version 0.1.2
Package: rmlnomogram
Title: Construct Explainable Nomogram for a Machine Learning Model
Version: 0.1.2
Description: Construct an explainable nomogram for a machine learning (ML) model to improve availability of an ML prediction model in addition to a computer application, particularly in a situation where a computer, a mobile phone, an internet connection, or the application accessibility are unreliable. This package enables a nomogram creation for any ML prediction models, which is conventionally limited to only a linear/logistic regression model. This nomogram may indicate the explainability value per feature, e.g., the Shapley additive explanation value, for each individual. However, this package only allows a nomogram creation for a model using categorical without or with single numerical predictors. Detailed methodologies and examples are documented in our vignette, available at <https://htmlpreview.github.io/?https://github.com/herdiantrisufriyana/rmlnomogram/blob/master/doc/ml_nomogram_exemplar.html>.
Depends: R (>= 4.4)
Imports: dplyr, purrr, broom, stats, ggplot2, ggpubr, stringr, tidyr, utils
Suggests: tidyverse, knitr, caret, randomForest, iml, testthat (>= 3.0.0)
VignetteBuilder: knitr
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-01-08 10:07:20 UTC; rstudio
Author: Herdiantri Sufriyana [aut, cre] , Emily Chia-Yu Su [aut]
Maintainer: Herdiantri Sufriyana <herdi@nycu.edu.tw>
Repository: CRAN
Date/Publication: 2025-01-08 16:40:02 UTC

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Package plotmm updated to version 0.1.2 with previous version 0.1.1 dated 2022-11-09

Title: Tidy Tools for Visualizing Mixture Models
Description: The main function, plot_mm(), is used for (gg)plotting output from mixture models, including both densities and overlaying mixture weight component curves from the fit models in line with the tidy principles. The package includes several additional functions for added plot customization. Supported model objects include: 'mixtools', 'EMCluster', and 'flexmix', with more from each in active dev. Supported mixture model specifications include mixtures of univariate Gaussians, multivariate Gaussians, Gammas, logistic regressions, linear regressions, and Poisson regressions.
Author: Philip Waggoner [aut, cre], Fong Chan [aut, ctb], Lu Zhang [aut, ctb]
Maintainer: Philip Waggoner <philip.waggoner@gmail.com>

Diff between plotmm versions 0.1.1 dated 2022-11-09 and 0.1.2 dated 2025-01-08

 DESCRIPTION                    |   15 +
 MD5                            |   38 ++--
 NEWS                           |    5 
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 20 files changed, 390 insertions(+), 279 deletions(-)

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New package MOODE with initial version 1.0.1
Package: MOODE
Title: Multi-Objective Optimal Design of Experiments
Version: 1.0.1
Description: Provides functionality to generate compound optimal designs for targeting the multiple experimental objectives directly, ensuring that the full set of research questions is answered as economically as possible. Designs can be found using point or coordinate exchange algorithms combining estimation, inference and lack-of-fit criteria that account for model inadequacy. Details and examples are given by Koutra et al. (2024) <doi:10.48550/arXiv.2412.17158>.
License: GPL (>= 3)
URL: https://github.com/vkstats/MOODE
BugReports: https://github.com/vkstats/MOODE/issues
Imports: cli, far, progressr, Rdpack, rlang
Suggests: doFuture, foreach
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-01-08 05:43:28 UTC; vallia
Author: Vasiliki Koutra [aut, cre, cph] , Olga Egorova [aut, cph], Steven Gilmour [aut, cph], Luzia Trinca [aut, cph]
Maintainer: Vasiliki Koutra <vasiliki.koutra@kcl.ac.uk>
Repository: CRAN
Date/Publication: 2025-01-08 16:10:02 UTC

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New package MADMMplasso with initial version 1.0.0
Package: MADMMplasso
Title: Multi Variate Multi Response ADMM with Interaction Effects
Version: 1.0.0
Description: This system allows one to model a multi-variate, multi-response problem with interaction effects. It combines the usual squared error loss for the multi-response problem with some penalty terms to encourage responses that correlate to form groups and also allow for modeling main and interaction effects that exit within the covariates. The optimization method employed is the Alternating Direction Method of Multipliers (ADMM). The implementation is based on the methodology presented on Quachie Asenso, T., & Zucknick, M. (2023) <doi:10.48550/arXiv.2303.11155>.
Imports: Matrix, MASS, Rcpp, RcppArmadillo, foreach, doParallel, class, graphics, parallel, stats, spatstat.sparse, methods
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (>= 3.0.0), lintr
License: GPL-3
Encoding: UTF-8
Date: 2025-01-08
Language: en-GB
NeedsCompilation: yes
Packaged: 2025-01-08 11:56:39 UTC; waldir
Author: Theophilus Quachie Asenso [aut], Manuela Zucknick [aut], Waldir Leoncio [aut, cre] , Chi Zhang [aut]
Maintainer: Waldir Leoncio <w.l.netto@medisin.uio.no>
Repository: CRAN
Date/Publication: 2025-01-08 16:40:06 UTC

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New package drone with initial version 1.0.0
Package: drone
Title: Data for Data Visualisation Geometries Encyclopedia
Version: 1.0.0
Description: This is the companion package to the Data Visualization Geometries Encyclopedia, providing seamless access to the associated data.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 4.4.0)
Imports: utils
NeedsCompilation: no
Packaged: 2025-01-08 07:16:47 UTC; DELL
Author: Thiyanga S. Talagala [aut, cre]
Maintainer: Thiyanga S. Talagala <ttalagala@sjp.ac.lk>
Repository: CRAN
Date/Publication: 2025-01-08 16:20:02 UTC

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New package dRiftDM with initial version 0.2.1
Package: dRiftDM
Title: Estimating (Time-Dependent) Drift Diffusion Models
Version: 0.2.1
License: MIT + file LICENSE
Description: Fit and explore Drift Diffusion Models (DDMs), a common tool in psychology for describing decision processes in simple tasks. It can handle both time-independent and time-dependent DDMs. You either choose prebuilt models or create your own, and the package takes care of model predictions and parameter estimation. Model predictions are derived via the numerical solutions provided by Richter, Ulrich, and Janczyk (2023, <doi:10.1016/j.jmp.2023.102756>).
Suggests: testthat (>= 3.0.0), cowsay, knitr, rmarkdown, DMCfun, truncnorm, vdiffr
Encoding: UTF-8
LazyData: true
Imports: withr, parallel, DEoptim, dfoptim, Rcpp, Rdpack, progress, stats
LinkingTo: Rcpp
Depends: R (>= 3.5.0)
VignetteBuilder: knitr
URL: https://github.com/bucky2177/dRiftDM, https://bucky2177.github.io/dRiftDM/
BugReports: https://github.com/bucky2177/dRiftDM/issues
NeedsCompilation: yes
Packaged: 2025-01-08 08:26:07 UTC; vkoob
Author: Valentin Koob [cre, aut, cph], Thomas Richter [aut, cph], Markus Janczyk [ctb]
Maintainer: Valentin Koob <v.koob@web.de>
Repository: CRAN
Date/Publication: 2025-01-08 16:30:05 UTC

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New package tidyprompt with initial version 0.0.1
Package: tidyprompt
Title: Prompt Large Language Models and Enhance Their Functionality
Version: 0.0.1
Description: Easily construct prompts and associated logic for interacting with large language models (LLMs). 'tidyprompt' introduces the concept of prompt wraps, which are building blocks that you can use to quickly turn a simple prompt into a complex one. Prompt wraps do not just modify the prompt text, but also add extraction and validation functions that will be applied to the response of the LLM. This ensures that the user gets the desired output. 'tidyprompt' can add various features to prompts and their evaluation by LLMs, such as structured output, automatic feedback, retries, reasoning modes, autonomous R function calling, and R code generation and evaluation. It is designed to be compatible with any LLM provider that offers chat completion.
License: GPL (>= 3) | file LICENSE
Encoding: UTF-8
URL: https://github.com/tjarkvandemerwe/tidyprompt, https://tjarkvandemerwe.github.io/tidyprompt/
BugReports: https://github.com/tjarkvandemerwe/tidyprompt/issues
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), here, callr, skimr, jsonvalidate, tidyjson, DBI
VignetteBuilder: knitr
Imports: dplyr, glue, httr2, jsonlite, stringr, utils, cli
NeedsCompilation: no
Packaged: 2025-01-07 21:45:11 UTC; dhrko
Author: Luka Koning [aut, cre, cph], Tjark Van de Merwe [aut, cph], Kennispunt Twente [fnd]
Maintainer: Luka Koning <l.koning@kennispunttwente.nl>
Repository: CRAN
Date/Publication: 2025-01-08 15:30:02 UTC

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Package pii updated to version 1.1.0 with previous version 1.0.0 dated 2024-10-21

Title: Search Data Frames for Personally Identifiable Information
Description: Check a data frame for personal information, including names, location, disability status, and geo-coordinates.
Author: Jacob Patterson-Stein [aut, cre]
Maintainer: Jacob Patterson-Stein <jacobpstein@gmail.com>

Diff between pii versions 1.0.0 dated 2024-10-21 and 1.1.0 dated 2025-01-08

 DESCRIPTION   |    6 +--
 MD5           |    8 ++--
 NEWS.md       |    2 +
 R/check_PII.R |   94 +++++++++++++++++++++++++++++++++++++---------------------
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 5 files changed, 90 insertions(+), 52 deletions(-)

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New package npiv with initial version 0.1.3
Package: npiv
Title: Nonparametric Instrumental Variables Estimation and Inference
Version: 0.1.3
Date: 2024-12-10
Imports: progress, MASS, Formula, withr
Maintainer: Timothy Christensen <timothy.christensen@yale.edu>
Description: Implements methods introduced in Chen, Christensen, and Kankanala (2024) <doi:10.1093/restud/rdae025> for estimating and constructing uniform confidence bands for nonparametric structural functions using instrumental variables, including data-driven choice of tuning parameters. All methods in this package apply to nonparametric regression as a special case.
License: GPL (>= 3)
NeedsCompilation: yes
Packaged: 2025-01-07 18:18:07 UTC; tmc49
Author: Jeffrey S. Racine [aut], Timothy Christensen [aut, cre], Patrick Alken [ctb], Rhys Ulerich [ctb], Simon N. Wood [ctb]
Repository: CRAN
Date/Publication: 2025-01-08 15:10:02 UTC

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Package networkLite updated to version 1.1.0 with previous version 1.0.5 dated 2023-03-10

Title: An Simplified Implementation of the 'network' Package Functionality
Description: An implementation of some of the core 'network' package functionality based on a simplified data structure that is faster in many research applications. This package is designed for back-end use in the 'statnet' family of packages, including 'EpiModel'. Support is provided for binary and weighted, directed and undirected, bipartite and unipartite networks; no current support for multigraphs, hypergraphs, or loops.
Author: Samuel Jenness [cre, aut], Steven M. Goodreau [aut], Martina Morris [aut], Adrien Le Guillou [aut], Chad Klumb [aut], Skye Bender-deMoll [ctb], Pavel N. Krivitsky [ctb]
Maintainer: Samuel Jenness <samuel.m.jenness@emory.edu>

Diff between networkLite versions 1.0.5 dated 2023-03-10 and 1.1.0 dated 2025-01-08

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 20 files changed, 272 insertions(+), 149 deletions(-)

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Package NEONiso updated to version 0.7.1 with previous version 0.7.0 dated 2024-04-05

Title: Tools to Calibrate and Work with NEON Atmospheric Isotope Data
Description: Functions for downloading, calibrating, and analyzing atmospheric isotope data bundled into the eddy covariance data products of the National Ecological Observatory Network (NEON) <https://www.neonscience.org>. Calibration tools are provided for carbon and water isotope products. Carbon isotope calibration details are found in Fiorella et al. (2021) <doi:10.1029/2020JG005862>, and the readme file at <https://github.com/lanl/NEONiso>. Tools for calibrating water isotope products have been added as of 0.6.0, but have known deficiencies and should be considered experimental and unsupported.
Author: Rich Fiorella [aut, cre]
Maintainer: Rich Fiorella <rfiorella@lanl.gov>

Diff between NEONiso versions 0.7.0 dated 2024-04-05 and 0.7.1 dated 2025-01-08

 NEONiso-0.7.0/NEONiso/R/calibrate_ambient_carbon_Bowling2003.R    |only
 NEONiso-0.7.0/NEONiso/R/excised.R                                 |only
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 NEONiso-0.7.0/NEONiso/man/write_ucrt.Rd                           |only
 NEONiso-0.7.1/NEONiso/DESCRIPTION                                 |   10 
 NEONiso-0.7.1/NEONiso/MD5                                         |  130 ++++------
 NEONiso-0.7.1/NEONiso/NEWS.md                                     |   11 
 NEONiso-0.7.1/NEONiso/R/NEONiso-package.R                         |    8 
 NEONiso-0.7.1/NEONiso/R/calibrate_ambient_carbon_gainoffset.R     |only
 NEONiso-0.7.1/NEONiso/R/calibrate_ambient_carbon_linreg.R         |   14 -
 NEONiso-0.7.1/NEONiso/R/calibrate_ambient_water_isotopes.R        |   14 -
 NEONiso-0.7.1/NEONiso/R/calibrate_carbon.R                        |   24 +
 NEONiso-0.7.1/NEONiso/R/calibrate_water.R                         |    2 
 NEONiso-0.7.1/NEONiso/R/filtering_functions.R                     |    7 
 NEONiso-0.7.1/NEONiso/R/isotope_conversions.R                     |   31 ++
 NEONiso-0.7.1/NEONiso/R/output_functions.R                        |   27 +-
 NEONiso-0.7.1/NEONiso/R/quality_control.R                         |   21 +
 NEONiso-0.7.1/NEONiso/R/reference_data_extraction.R               |   12 
 NEONiso-0.7.1/NEONiso/R/reference_data_regression.R               |   67 +++--
 NEONiso-0.7.1/NEONiso/R/reference_data_selection.R                |    2 
 NEONiso-0.7.1/NEONiso/R/restructure_data.R                        |   31 +-
 NEONiso-0.7.1/NEONiso/R/standard_corrections.R                    |    7 
 NEONiso-0.7.1/NEONiso/R/time_functions.R                          |    9 
 NEONiso-0.7.1/NEONiso/R/utility_functions.R                       |   31 +-
 NEONiso-0.7.1/NEONiso/build/vignette.rds                          |binary
 NEONiso-0.7.1/NEONiso/inst/doc/example_workflow.html              |    1 
 NEONiso-0.7.1/NEONiso/man/NEONiso-package.Rd                      |    7 
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 NEONiso-0.7.1/NEONiso/man/calibrate_carbon.Rd                     |    2 
 NEONiso-0.7.1/NEONiso/man/calibrate_water.Rd                      |    2 
 NEONiso-0.7.1/NEONiso/man/carbon_regression_plots.Rd              |    5 
 NEONiso-0.7.1/NEONiso/man/convert_NEONhdf5_to_POSIXct_time.Rd     |    5 
 NEONiso-0.7.1/NEONiso/man/convert_POSIXct_to_NEONhdf5_time.Rd     |    4 
 NEONiso-0.7.1/NEONiso/man/correct_carbon_ref_output.Rd            |    3 
 NEONiso-0.7.1/NEONiso/man/delta_to_R.Rd                           |    5 
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 NEONiso-0.7.1/NEONiso/man/filter_median_brock86.Rd                |    5 
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 NEONiso-0.7.1/NEONiso/man/fit_water_regression.Rd                 |    7 
 NEONiso-0.7.1/NEONiso/man/get_Rstd.Rd                             |    7 
 NEONiso-0.7.1/NEONiso/man/ingest_data.Rd                          |    7 
 NEONiso-0.7.1/NEONiso/man/loocv.Rd                                |    6 
 NEONiso-0.7.1/NEONiso/man/manage_local_EC_archive.Rd              |    6 
 NEONiso-0.7.1/NEONiso/man/restructure_carbon_variables.Rd         |    5 
 NEONiso-0.7.1/NEONiso/man/restructure_variables.Rd                |    6 
 NEONiso-0.7.1/NEONiso/man/restructure_water_variables.Rd          |    5 
 NEONiso-0.7.1/NEONiso/man/select_daily_reference_data.Rd          |    4 
 NEONiso-0.7.1/NEONiso/man/setup_output_file.Rd                    |    6 
 NEONiso-0.7.1/NEONiso/man/terrestrial_core_sites.Rd               |    5 
 NEONiso-0.7.1/NEONiso/man/terrestrial_gradient_sites.Rd           |    5 
 NEONiso-0.7.1/NEONiso/man/validate_analyte.Rd                     |    5 
 NEONiso-0.7.1/NEONiso/man/validate_output_file.Rd                 |    6 
 NEONiso-0.7.1/NEONiso/man/water_isotope_sites.Rd                  |    5 
 NEONiso-0.7.1/NEONiso/man/write_carbon_ambient_data.Rd            |    2 
 NEONiso-0.7.1/NEONiso/man/write_carbon_calibration_data.Rd        |    6 
 NEONiso-0.7.1/NEONiso/man/write_water_ambient_data.Rd             |    2 
 NEONiso-0.7.1/NEONiso/man/write_water_calibration_data.Rd         |    5 
 NEONiso-0.7.1/NEONiso/tests/testthat/test-data_regression.R       |   14 -
 NEONiso-0.7.1/NEONiso/tests/testthat/test-high_level_functions.R  |   33 +-
 NEONiso-0.7.1/NEONiso/tests/testthat/test-output_values.R         |   14 -
 71 files changed, 451 insertions(+), 281 deletions(-)

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New package learner with initial version 0.1.0
Package: learner
Title: Latent Space-Based Transfer Learning
Version: 0.1.0
Maintainer: Sean McGrath <sean.mcgrath514@gmail.com>
Description: Implements transfer learning methods for low-rank matrix estimation. These methods leverage similarity in the latent row and column spaces between the source and target populations to improve estimation in the target population. The methods include the LatEnt spAce-based tRaNsfer lEaRning (LEARNER) method and the direct projection LEARNER (D-LEARNER) method described by McGrath et al. (2024) <doi:10.48550/arXiv.2412.20605>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
URL: https://github.com/stmcg/learner
BugReports: https://github.com/stmcg/learner/issues
Imports: doParallel, foreach, ScreeNOT
Suggests: testthat (>= 3.0.0)
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2025-01-07 19:57:41 UTC; Sean
Author: Sean McGrath [aut, cre] , Cenhao Zhu [aut], Rui Duan [aut]
Repository: CRAN
Date/Publication: 2025-01-08 15:10:08 UTC

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New package KOFM with initial version 0.1.1
Package: KOFM
Title: Test the Kronecker Product Structure in Tensor Factor Models
Version: 0.1.1
Date: 2025-01-02
Author: Zetai Cen [aut, cre]
Maintainer: Zetai Cen <z.cen@lse.ac.uk>
Description: To test if a tensor time series following a Tucker-decomposition factor model has a Kronecker product structure. Supplementary functions for tensor reshape and its reversal are also included.
License: GPL-3
Imports: tensorMiss, MEFM, RSpectra, stats, utils
Encoding: UTF-8
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-01-02 12:25:05 UTC; pc
Repository: CRAN
Date/Publication: 2025-01-08 15:50:02 UTC

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New package goldilocks with initial version 0.4.0
Package: goldilocks
Title: Goldilocks Adaptive Trial Designs for Time-to-Event Endpoints
Version: 0.4.0
Description: Implements the Goldilocks adaptive trial design for a time to event outcome using a piecewise exponential model and conjugate Gamma prior distributions. The method closely follows the article by Broglio and colleagues <doi:10.1080/10543406.2014.888569>, which allows users to explore the operating characteristics of different trial designs.
License: GPL-3
Encoding: UTF-8
URL: https://github.com/graemeleehickey/goldilocks
BugReports: https://github.com/graemeleehickey/goldilocks/issues
Depends: R (>= 3.6.0), survival
Imports: dplyr, parallel, pbmcapply, PWEALL, Rcpp, rlang, stats
Suggests: covr, testthat (>= 3.0.0), knitr, rmarkdown
LinkingTo: BH, Rcpp
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-01-07 21:54:40 UTC; hickeg3
Author: Graeme L. Hickey [aut, cre] , Ying Wan [aut], Thevaa Chandereng [aut] , Becton, Dickinson and Company [cph], Tim Kacprowski [ctb]
Maintainer: Graeme L. Hickey <graemeleehickey@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-08 15:30:08 UTC

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New package cdid with initial version 0.1.0
Package: cdid
Title: The Chained Difference-in-Differences
Version: 0.1.0
URL: https://github.com/joelcuerrier/cdid
Maintainer: David Benatia <david.benatia@hec.ca>
Description: Extends the 'did' package to improve efficiency and handling of unbalanced panel data. Bellego, Benatia, and Dortet-Bernadet (2024), "The Chained Difference-in-Differences", Journal of Econometrics, <doi:10.1016/j.jeconom.2024.105783>.
License: GPL-2
Encoding: UTF-8
Imports: Matrix, purrr, MASS, did, BMisc, methods, stats, utils
BugReports: https://github.com/joelcuerrier/cdid/issues
VignetteBuilder: knitr
Suggests: rmarkdown, knitr, openxlsx, data.table, jsonlite, stargazer, devtools,
NeedsCompilation: no
Packaged: 2025-01-07 18:07:00 UTC; dvbn
Author: David Benatia [cre, aut], Christophe Bellego [aut], Joel Cuerrier [aut], Vincent Dortet-Bernadet [aut]
Repository: CRAN
Date/Publication: 2025-01-08 15:10:12 UTC

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New package voronoifortune with initial version 1.0
Package: voronoifortune
Version: 1.0
Date: 2025-01-07
Title: Voronoi Tessellation by Fortune Algorithm
Description: Fortune's (1987, <doi:10.1007/BF01840357>) algorithm is a very efficient method to perform Voronoi tessellation and Delaunay triangulation. This package is a port of the original code published in the early 1990's by Steven Fortune.
License: GPL-3
URL: https://github.com/emmanuelparadis/voronoifortune
BugReports: https://github.com/emmanuelparadis/voronoifortune/issues
NeedsCompilation: yes
Packaged: 2025-01-07 17:22:52 UTC; paradis
Author: Emmanuel Paradis [aut, cre, cph] , Steven Fortune [aut, ctb], Plan 9 Foundation [cph]
Maintainer: Emmanuel Paradis <Emmanuel.Paradis@ird.fr>
Repository: CRAN
Date/Publication: 2025-01-08 15:00:01 UTC

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Package TMB updated to version 1.9.16 with previous version 1.9.15 dated 2024-09-09

Title: Template Model Builder: A General Random Effect Tool Inspired by 'ADMB'
Description: With this tool, a user should be able to quickly implement complex random effect models through simple C++ templates. The package combines 'CppAD' (C++ automatic differentiation), 'Eigen' (templated matrix-vector library) and 'CHOLMOD' (sparse matrix routines available from R) to obtain an efficient implementation of the applied Laplace approximation with exact derivatives. Key features are: Automatic sparseness detection, parallelism through 'BLAS' and parallel user templates.
Author: Kasper Kristensen [aut, cre, cph], Brad Bell [cph], Hans Skaug [ctb], Arni Magnusson [ctb], Casper Berg [ctb], Anders Nielsen [ctb], Martin Maechler [ctb], Theo Michelot [ctb], Mollie Brooks [ctb], Alex Forrence [ctb], Christoffer Moesgaard Albertsen [...truncated...]
Maintainer: Kasper Kristensen <kaskr@dtu.dk>

Diff between TMB versions 1.9.15 dated 2024-09-09 and 1.9.16 dated 2025-01-08

 DESCRIPTION                                   |    8 +-
 MD5                                           |   22 +++----
 NEWS                                          |   11 +++
 R/sdreport.R                                  |    7 ++
 inst/include/TMBad/ad_blas.hpp                |    4 +
 inst/include/atomic_math.hpp                  |   24 ++++++++
 inst/include/convert.hpp                      |   32 +++++++++++
 inst/include/lgamma.hpp                       |   73 ++++++++++++++++----------
 inst/include/tiny_ad/atomic.hpp               |    4 -
 inst/include/tiny_ad/robust/distributions.hpp |   39 -------------
 inst/include/tmb_core.hpp                     |    4 -
 inst/include/tmbutils/tmbutils.hpp            |   13 ++++
 12 files changed, 153 insertions(+), 88 deletions(-)

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New package shinybody with initial version 0.1.3
Package: shinybody
Title: An Interactive Anatomography Widget for 'shiny'
Version: 0.1.3
Description: An 'htmlwidget' of the human body that allows you to hide/show and assign colors to 79 different body parts. The 'human' widget is an 'htmlwidget', so it works in Quarto documents, R Markdown documents, or any other HTML medium. It also functions as an input/output widget in a 'shiny' app.
URL: https://github.com/robert-norberg/shinybody
BugReports: https://github.com/robert-norberg/shinybody/issues
Imports: htmlwidgets (>= 0.8), htmltools, crosstalk
Suggests: knitr, rmarkdown, shiny
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2024-12-23 15:55:57 UTC; 4478023
Author: Robert Norberg [aut, cre], Sebastian Zapata-Tamayo [aut, ctb], Mehrun Huda [aut, ctb] , Moffitt Cancer Center [cph]
Maintainer: Robert Norberg <Robert.Norberg@moffitt.org>
Repository: CRAN
Date/Publication: 2025-01-08 14:40:02 UTC

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Package ggspectra updated to version 0.3.15 with previous version 0.3.14 dated 2024-11-13

Title: Extensions to 'ggplot2' for Radiation Spectra
Description: Additional annotations, stats, geoms and scales for plotting "light" spectra with 'ggplot2', together with specializations of ggplot() and autoplot() methods for spectral data and waveband definitions stored in objects of classes defined in package 'photobiology'. 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]
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>

Diff between ggspectra versions 0.3.14 dated 2024-11-13 and 0.3.15 dated 2025-01-08

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 ggspectra-0.3.15/ggspectra/NEWS.md                                    |   30 
 ggspectra-0.3.15/ggspectra/R/autoplot-calibration-spct.R              |   32 
 ggspectra-0.3.15/ggspectra/R/autoplot-cps-spct.r                      |   51 
 ggspectra-0.3.15/ggspectra/R/autoplot-filter-spct.r                   |  551 +++++-----
 ggspectra-0.3.15/ggspectra/R/autoplot-generic-spct.R                  |    6 
 ggspectra-0.3.15/ggspectra/R/autoplot-raw-spct.r                      |   58 -
 ggspectra-0.3.15/ggspectra/R/autoplot-response-spct.r                 |  217 ++-
 ggspectra-0.3.15/ggspectra/R/autoplot-source-spct.r                   |  338 ++----
 ggspectra-0.3.15/ggspectra/R/autoplot-waveband.R                      |   96 -
 ggspectra-0.3.15/ggspectra/R/autotitle.R                              |    9 
 ggspectra-0.3.15/ggspectra/R/axis-utils-calibration-spct.R            |   15 
 ggspectra-0.3.15/ggspectra/R/axis-utils-cps-spct.R                    |   32 
 ggspectra-0.3.15/ggspectra/R/axis-utils-filter-spct.R                 |  108 +
 ggspectra-0.3.15/ggspectra/R/axis-utils-raw-spct.R                    |   36 
 ggspectra-0.3.15/ggspectra/R/axis-utils-response-spct.R               |   43 
 ggspectra-0.3.15/ggspectra/R/axis-utils-source-spct.R                 |   67 -
 ggspectra-0.3.15/ggspectra/R/utils-internal.R                         |only
 ggspectra-0.3.15/ggspectra/README.md                                  |   19 
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 ggspectra-0.3.15/ggspectra/inst/doc/userguide1-grammar.html           |  128 +-
 ggspectra-0.3.15/ggspectra/inst/doc/userguide2-autoplot-methods.R     |    3 
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 ggspectra-0.3.15/ggspectra/man/autoplot.filter_spct.Rd                |   41 
 ggspectra-0.3.15/ggspectra/man/autoplot.generic_spct.Rd               |   20 
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 ggspectra-0.3.15/ggspectra/man/autoplot.raw_spct.Rd                   |   48 
 ggspectra-0.3.15/ggspectra/man/autoplot.reflector_spct.Rd             |   46 
 ggspectra-0.3.15/ggspectra/man/autoplot.response_spct.Rd              |   65 -
 ggspectra-0.3.15/ggspectra/man/autoplot.source_spct.Rd                |   53 
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 ggspectra-0.3.15/ggspectra/man/scale_y_Tfr_continuous.Rd              |   20 
 ggspectra-0.3.15/ggspectra/man/scale_y_counts_continuous.Rd           |   24 
 ggspectra-0.3.15/ggspectra/man/scale_y_cps_continuous.Rd              |   27 
 ggspectra-0.3.15/ggspectra/man/scale_y_multipliers_continuous.Rd      |    4 
 ggspectra-0.3.15/ggspectra/man/scale_y_s.e.irrad_continuous.Rd        |   40 
 ggspectra-0.3.15/ggspectra/man/scale_y_s.e.response_continuous.Rd     |   23 
 ggspectra-0.3.15/ggspectra/vignettes/userguide2-autoplot-methods.Rmd  |    8 
 54 files changed, 1535 insertions(+), 1391 deletions(-)

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New package epiparameter with initial version 0.4.0
Package: epiparameter
Title: Classes and Helper Functions for Working with Epidemiological Parameters
Version: 0.4.0
Description: Classes and helper functions for loading, extracting, converting, manipulating, plotting and aggregating epidemiological parameters for infectious diseases. Epidemiological parameters extracted from the literature are loaded from the 'epiparameterDB' R package.
License: MIT + file LICENSE
URL: https://github.com/epiverse-trace/epiparameter/, https://epiverse-trace.github.io/epiparameter/
BugReports: https://github.com/epiverse-trace/epiparameter/issues
Depends: R (>= 4.1.0)
Imports: cachem, checkmate, cli, distcrete, distributional, epiparameterDB, graphics, lifecycle, pillar, rlang, stats, tools, utils
Suggests: bookdown, DT, ggplot2, knitr, RColorBrewer, rmarkdown, spelling, testthat (>= 3.0.0), vdiffr (>= 1.0.7), visNetwork
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
LazyData: true
NeedsCompilation: no
Packaged: 2025-01-07 16:58:31 UTC; lshjl15
Author: Joshua W. Lambert [aut, cre, cph] , Adam Kucharski [aut, cph] , Carmen Tamayo [aut] , Hugo Gruson [ctb, rev] , Sebastian Funk [ctb] , Pratik Gupte [rev] , James M. Azam [rev] , Chris Hartgerink [rev] , Tim Taylor [rev]
Maintainer: Joshua W. Lambert <joshua.lambert@lshtm.ac.uk>
Repository: CRAN
Date/Publication: 2025-01-08 14:50:09 UTC

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Package bizdays updated to version 1.0.17 with previous version 1.0.16 dated 2024-02-12

Title: Business Days Calculations and Utilities
Description: Business days calculations based on a list of holidays and nonworking weekdays. Quite useful for fixed income and derivatives pricing.
Author: Wilson Freitas [aut, cre]
Maintainer: Wilson Freitas <wilson.freitas@gmail.com>

Diff between bizdays versions 1.0.16 dated 2024-02-12 and 1.0.17 dated 2025-01-08

 DESCRIPTION                               |   14 +++++++++-----
 MD5                                       |   12 ++++++------
 NEWS.md                                   |    4 ++++
 inst/doc/Creating_Calendars.html          |    4 ++--
 inst/doc/Financial_and_non_financial.html |    4 ++--
 inst/doc/bizdays.html                     |    8 ++++----
 inst/extdata/Brazil_B3.json               |   15 +++++++++++++--
 7 files changed, 40 insertions(+), 21 deletions(-)

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New package archeofrag.gui with initial version 0.1.0
Package: archeofrag.gui
Title: Spatial Analysis in Archaeology from Refitting Fragments (GUI)
Version: 0.1.0
Date: 2024-12-18
Author: Sebastien Plutniak [aut, cre]
Maintainer: Sebastien Plutniak <sebastien.plutniak@posteo.net>
Description: A 'Shiny' application to access the functionalities and datasets of the 'archeofrag' package for spatial analysis in archaeology from refitting data. Quick and seamless exploration of archaeological refitting datasets. Features include: exclusive focus on connection relationships (i.e. physical refits), built-in documentation and convenient workflow, plot generation and export, R code generation to re-execute the simulations in R and ensure reproducibility, support for parallel computing to speed up computation. A demonstration version of the app is available at <https://analytics.huma-num.fr/Sebastien.Plutniak/archeofrag/>.
License: GPL-3
Repository: CRAN
Encoding: UTF-8
Imports: archeofrag, dendextend, doParallel, DT, foreach, ggplot2, grDevices, igraph, shiny, shinythemes,
Suggests: RBGL,
URL: https://github.com/sebastien-plutniak/archeofrag.gui
BugReports: https://github.com/sebastien-plutniak/archeofrag.gui/issues
NeedsCompilation: no
Packaged: 2024-12-18 23:07:18 UTC; seb
Date/Publication: 2025-01-08 14:50:14 UTC

More information about archeofrag.gui at CRAN
Permanent link

Package RivRetrieve updated to version 0.1.6 with previous version 0.1.5 dated 2024-04-22

Title: Retrieve Global River Gauge Data
Description: Provides access to global river gauge data from a variety of national-level river agencies. The package interfaces with the national-level agency websites to provide access to river gauge locations, river discharge, and river stage. Currently, the package is available for the following countries: Australia, Brazil, Canada, Chile, France, Japan, South Africa, the United Kingdom, and the United States.
Author: Ryan Riggs [aut, cre] , Simon Moulds [aut] , Michel Wortmann [aut] , Louise Slater [aut] , George Allen [aut]
Maintainer: Ryan Riggs <ryanriggs7@gmail.com>

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More information about RivRetrieve at CRAN
Permanent link

Package jsmodule updated to version 1.6.1 with previous version 1.6.0 dated 2024-12-11

Title: 'RStudio' Addins and 'Shiny' Modules for Medical Research
Description: 'RStudio' addins and 'Shiny' modules for descriptive statistics, regression and survival analysis.
Author: Jinseob Kim [aut, cre] , Zarathu [cph, fnd], Hyunki Lee [aut], Changwoo Lim [aut], Jinhwan Kim [aut] , Yoonkyoung Jeon [aut], Jaewoong Heo [aut], Youngsun Park [aut] , Hyungwoo Jo [aut], Jeongmin Seo [aut]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>

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More information about jsmodule at CRAN
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Package ctxR updated to version 1.1.0 with previous version 1.0.0 dated 2024-07-04

Title: Utilities for Interacting with the 'CTX' APIs
Description: Access chemical, hazard, bioactivity, and exposure data from the Computational Toxicology and Exposure ('CTX') APIs <https://www.epa.gov/comptox-tools/computational-toxicology-and-exposure-apis>. 'ctxR' was developed to streamline the process of accessing the information available through the 'CTX' APIs without requiring prior knowledge of how to use APIs. Most data is also available on the CompTox Chemical Dashboard ('CCD') <https://comptox.epa.gov/dashboard/> and other resources found at the EPA Computational Toxicology and Exposure Online Resources <https://www.epa.gov/comptox-tools>.
Author: Paul Kruse [aut, cre] , Caroline Ring [aut] , Madison Feshuk [ctb] , Carter Thunes [ctb], Jason Brown [ctb]
Maintainer: Paul Kruse <kruse.paul@epa.gov>

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Package classInt updated to version 0.4-11 with previous version 0.4-10 dated 2023-09-05

Title: Choose Univariate Class Intervals
Description: Selected commonly used methods for choosing univariate class intervals for mapping or other graphics purposes.
Author: Roger Bivand [aut, cre] , Bill Denney [ctb] , Richard Dunlap [ctb], Diego Hernangomez [ctb] , Hisaji Ono [ctb], Josiah Parry [ctb] , Matthieu Stigler [ctb]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

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Package bayesMeanScale updated to version 0.2.1 with previous version 0.2.0 dated 2024-12-20

Title: Bayesian Post-Estimation on the Mean Scale
Description: Computes Bayesian posterior distributions of predictions, marginal effects, and differences of marginal effects for various generalized linear models. Importantly, the posteriors are on the mean (response) scale, allowing for more natural interpretation than summaries on the link scale. Also, predictions and marginal effects of the count probabilities for Poisson and negative binomial models can be computed.
Author: David M. Dalenberg [aut, cre]
Maintainer: David M. Dalenberg <dalenbe2@gmail.com>

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Package AccelStab updated to version 2.1.0 with previous version 2.0.2 dated 2024-10-21

Title: Accelerated Stability Kinetic Modelling
Description: Estimate the Šesták–Berggren kinetic model (degradation model) from experimental data. A A closed-form (analytic) solution to the degradation model is implemented as a non-linear fit, allowing for the extrapolation of the degradation of a drug product - both in time and temperature. Parametric bootstrap, with kinetic parameters drawn from the multivariate t-distribution, and analytical formulae (the delta method) are available options to calculate the confidence and prediction intervals. The results (modelling, extrapolations and statistical intervals) can be visualised with multiple plots. The examples illustrate the accelerated stability modelling in drugs and vaccines development.
Author: Bernard G Franq [aut, cph], Ben Wells [cre], Alex Ball [ctb]
Maintainer: Ben Wells <benwells@bayezian.com>

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Package webdav updated to version 0.1.3 with previous version 0.1.2 dated 2024-12-02

Title: A Simple Interface for Interacting with 'WebDAV' Servers
Description: An easy-to-use interface for interacting with 'WebDAV' servers, including 'OwnCloud'. It simplifies the use of 'WebDAV' methods such as COPY, MKCOL, MOVE, and others. With built-in authentication and request handling, it allows for easy management of files and directories over the 'WebDAV' protocol.
Author: Andre Leite [aut, cre], Hugo Vaconcelos [aut], Diogo Bezerra [aut]
Maintainer: Andre Leite <leite@castlab.org>

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Package spData updated to version 2.3.4 with previous version 2.3.3 dated 2024-09-02

Title: Datasets for Spatial Analysis
Description: Diverse spatial datasets for demonstrating, benchmarking and teaching spatial data analysis. It includes R data of class sf (defined by the package 'sf'), Spatial ('sp'), and nb ('spdep'). Unlike other spatial data packages such as 'rnaturalearth' and 'maps', it also contains data stored in a range of file formats including GeoJSON and GeoPackage, but from version 2.3.4, no longer ESRI Shapefile - use GeoPackage instead. Some of the datasets are designed to illustrate specific analysis techniques. cycle_hire() and cycle_hire_osm(), for example, is designed to illustrate point pattern analysis techniques.
Author: Roger Bivand [aut] , Jakub Nowosad [aut, cre] , Robin Lovelace [aut] , Angelos Mimis [ctb], Mark Monmonier [ctb] , Greg Snow [ctb]
Maintainer: Jakub Nowosad <nowosad.jakub@gmail.com>

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Package RBesT updated to version 1.8-0 with previous version 1.7-4 dated 2024-11-21

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 1.7-4 dated 2024-11-21 and 1.8-0 dated 2025-01-08

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Permanent link

Package kde1d updated to version 1.1.0 with previous version 1.0.7 dated 2024-01-26

Title: Univariate Kernel Density Estimation
Description: Provides an efficient implementation of univariate local polynomial kernel density estimators that can handle bounded and discrete data. See Geenens (2014) <doi:10.48550/arXiv.1303.4121>, Geenens and Wang (2018) <doi:10.48550/arXiv.1602.04862>, Nagler (2018a) <doi:10.48550/arXiv.1704.07457>, Nagler (2018b) <doi:10.48550/arXiv.1705.05431>.
Author: Thomas Nagler [aut, cre], Thibault Vatter [aut]
Maintainer: Thomas Nagler <mail@tnagler.com>

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Package jskm updated to version 0.5.8 with previous version 0.5.6 dated 2024-10-23

Title: Kaplan-Meier Plot with 'ggplot2'
Description: The function 'jskm()' creates publication quality Kaplan-Meier plot with at risk tables below. 'svyjskm()' provides plot for weighted Kaplan-Meier estimator.
Author: Jinseob Kim [aut, cre] , yoonkyoung Chun [aut], Zarathu [cph, fnd]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>

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Package hutilscpp updated to version 0.10.7 with previous version 0.10.6 dated 2024-11-03

Title: Miscellaneous Functions in C++
Description: Provides utility functions that are simply, frequently used, but may require higher performance that what can be obtained from base R. Incidentally provides support for 'reverse geocoding', such as matching a point with its nearest neighbour in another array. Used as a complement to package 'hutils' by sacrificing compilation or installation time for higher running speeds. The name is a portmanteau of the author and 'Rcpp'.
Author: Hugh Parsonage [aut, cre], Simon Urbanek [ctb]
Maintainer: Hugh Parsonage <hugh.parsonage@gmail.com>

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Package quanteda updated to version 4.2.0 with previous version 4.1.0 dated 2024-09-04

Title: Quantitative Analysis of Textual Data
Description: A fast, flexible, and comprehensive framework for quantitative text analysis in R. Provides functionality for corpus management, creating and manipulating tokens and n-grams, exploring keywords in context, forming and manipulating sparse matrices of documents by features and feature co-occurrences, analyzing keywords, computing feature similarities and distances, applying content dictionaries, applying supervised and unsupervised machine learning, visually representing text and text analyses, and more.
Author: Kenneth Benoit [cre, aut, cph] , Kohei Watanabe [aut] , Haiyan Wang [aut] , Paul Nulty [aut] , Adam Obeng [aut] , Stefan Mueller [aut] , Akitaka Matsuo [aut] , William Lowe [aut] , Christian Mueller [ctb], Olivier Delmarcelle [ctb] , European Research [...truncated...]
Maintainer: Kenneth Benoit <kbenoit@lse.ac.uk>

Diff between quanteda versions 4.1.0 dated 2024-09-04 and 4.2.0 dated 2025-01-08

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Package pim updated to version 2.0.4 with previous version 2.0.2 dated 2020-02-03

Title: Fit Probabilistic Index Models
Description: Fit a probabilistic index model as described in Thas et al, 2012: <doi:10.1111/j.1467-9868.2011.01020.x>. The interface to the modeling function has changed in this new version. The old version is still available at R-Forge.
Author: Joris Meys [aut, cre], Jan De Neve [aut], Nick Sabbe [aut], Gustavo Guimaraes de Castro Amorim [aut]
Maintainer: Joris Meys <Joris.Meys@UGent.be>

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Package mixlm updated to version 1.4.1 with previous version 1.4.0 dated 2024-10-07

Title: Mixed Model ANOVA and Statistics for Education
Description: The main functions perform mixed models analysis by least squares or REML by adding the function r() to formulas of lm() and glm(). A collection of text-book statistics for higher education is also included, e.g. modifications of the functions lm(), glm() and associated summaries from the package 'stats'.
Author: Kristian Hovde Liland [aut, cre], Solve Saeboe¸ [ctb], R-Core [ctb]
Maintainer: Kristian Hovde Liland <kristian.liland@nmbu.no>

Diff between mixlm versions 1.4.0 dated 2024-10-07 and 1.4.1 dated 2025-01-08

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More information about mixlm at CRAN
Permanent link

Package laminr updated to version 0.3.1 with previous version 0.3.0 dated 2024-12-02

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

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Package isopam updated to version 3.1 with previous version 3.0 dated 2024-11-10

Title: Clustering of Sites with Species Data
Description: Clustering algorithm developed for use with plot inventories of species. It groups plots by subsets of diagnostic species rather than overall species composition. There is an unsupervised and a supervised mode, the latter accepting suggestions for species with greater weight and cluster medoids.
Author: Sebastian Schmidtlein [aut, cre] , Jason Collison [aut], Robin Pfannendoerfer [aut], Lubomir Tichy [ctb]
Maintainer: Sebastian Schmidtlein <schmidtlein@kit.edu>

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Package highs updated to version 1.9.0-1 with previous version 0.1-10 dated 2023-05-16

Title: 'HiGHS' Optimization Solver
Description: R interface to 'HiGHS', an optimization solver for solving mixed integer optimization problems with quadratic or linear objective and linear constraints.
Author: Florian Schwendinger [aut, cre], Dirk Schumacher [aut], Julian Hall [cph], Ivet Galabova [cph], Leona Gottwald [cph], Michael Feldmeier [cph]
Maintainer: Florian Schwendinger <FlorianSchwendinger@gmx.at>

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More information about highs at CRAN
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Package ggiraph updated to version 0.8.12 with previous version 0.8.11 dated 2024-11-19

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>

Diff between ggiraph versions 0.8.11 dated 2024-11-19 and 0.8.12 dated 2025-01-08

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Package bdsvd updated to version 0.2.1 with previous version 0.2.0 dated 2024-07-06

Title: Block Structure Detection Using Singular Vectors
Description: Performs block diagonal covariance matrix detection using singular vectors (BD-SVD), which can be extended to hierarchical variable clustering (HC-SVD). The methods are described in Bauer (2024) <doi:10.1080/10618600.2024.2422985> and Bauer (202X) <doi:10.48550/arXiv.2308.06820>.
Author: Jan O. Bauer [aut, cre] , Ron Holzapfel [aut]
Maintainer: Jan O. Bauer <j.bauer@vu.nl>

Diff between bdsvd versions 0.2.0 dated 2024-07-06 and 0.2.1 dated 2025-01-08

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Package spatstat.explore updated to version 3.3-4 with previous version 3.3-3 dated 2024-10-22

Title: Exploratory Data Analysis for the 'spatstat' Family
Description: Functionality for exploratory data analysis and nonparametric analysis of spatial data, mainly spatial point patterns, in the 'spatstat' family of packages. (Excludes analysis of spatial data on a linear network, which is covered by the separate package 'spatstat.linnet'.) 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 correlation functions, segregation indices, mark dependence diagnostics, and kernel estimates of covariate effects. Formal hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov, Monte Carlo, Diggle-Cressie-Loosmore-Ford, Dao-Genton, two-stage Monte Carlo) and tests for covariate effects (Cox-Berman-Waller-Lawson, Kolmogorov-Smirnov, ANOVA) are also supported.
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Kasper Klitgaard Berthelsen [ctb], Warick Brown [cph], Achmad Choiruddin [ctb], Jean-Francois Coeurjolly [ctb], Ottmar Cronie [ctb], Tilman Davies [ctb, cph], Julian Gi [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

Diff between spatstat.explore versions 3.3-3 dated 2024-10-22 and 3.3-4 dated 2025-01-08

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Package RcppGetconf updated to version 0.0.4 with previous version 0.0.3 dated 2018-11-16

Title: 'Rcpp' Interface for Querying System Configuration Variables
Description: The 'getconf' command-line tool provided by 'libc' allows querying of a large number of system variables. This package provides similar functionality.
Author: Dirk Eddelbuettel [aut, cre]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppGetconf versions 0.0.3 dated 2018-11-16 and 0.0.4 dated 2025-01-08

 ChangeLog    |   60 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
 DESCRIPTION  |   19 ++++++++++--------
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 cleanup      |    2 -
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More information about RcppGetconf at CRAN
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Package nuggets updated to version 1.4.0 with previous version 1.3.0 dated 2024-11-13

Title: Extensible Data Pattern Searching Framework
Description: Extensible framework for subgroup discovery (Atzmueller (2015) <doi:10.1002/widm.1144>), contrast patterns (Chen (2022) <doi:10.48550/arXiv.2209.13556>), emerging patterns (Dong (1999) <doi:10.1145/312129.312191>), association rules (Agrawal (1994) <https://www.vldb.org/conf/1994/P487.PDF>) and conditional correlations (Hájek (1978) <doi:10.1007/978-3-642-66943-9>). Both crisp (Boolean, binary) and fuzzy data are supported. It generates conditions in the form of elementary conjunctions, evaluates them on a dataset and checks the induced sub-data for interesting statistical properties. A user-defined function may be defined to evaluate on each generated condition to search for custom patterns.
Author: Michal Burda [aut, cre]
Maintainer: Michal Burda <michal.burda@osu.cz>

Diff between nuggets versions 1.3.0 dated 2024-11-13 and 1.4.0 dated 2025-01-08

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Package cTMed updated to version 1.0.4 with previous version 1.0.3 dated 2024-12-16

Title: Continuous Time Mediation
Description: Calculates standard errors and confidence intervals for effects in continuous-time mediation models. This package extends the work of Deboeck and Preacher (2015) <doi:10.1080/10705511.2014.973960> and Ryan and Hamaker (2021) <doi:10.1007/s11336-021-09767-0> by providing methods to generate standard errors and confidence intervals for the total, direct, and indirect effects in these models.
Author: Ivan Jacob Agaloos Pesigan [aut, cre, cph]
Maintainer: Ivan Jacob Agaloos Pesigan <r.jeksterslab@gmail.com>

Diff between cTMed versions 1.0.3 dated 2024-12-16 and 1.0.4 dated 2025-01-08

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Package cmahalanobis updated to version 0.5.0 with previous version 0.4.2 dated 2024-09-23

Title: Calculate Distance Measures for a Given List of Data Frames with Factors
Description: It provides functions that calculate Mahalanobis distance, Euclidean distance, Manhattan distance, Chebyshev distance, Hamming distance, Canberra distance, Minkowski distance, Cosine distance, Bhattacharyya distance, Jaccard distance, Hellinger distance, Bray-Curtis distance, Sorensen-Dice distance between each pair of species in a list of data frames. These metrics are fundamental in various fields, such as cluster analysis, classification, and other applications of machine learning and data mining, where assessing similarity or dissimilarity between data is crucial. The package is designed to be flexible and easily integrated into data analysis workflows, providing reliable tools for evaluating distances in multidimensional contexts.
Author: Flavio Gioia [aut, cre]
Maintainer: Flavio Gioia <flaviogioia.fg@gmail.com>

Diff between cmahalanobis versions 0.4.2 dated 2024-09-23 and 0.5.0 dated 2025-01-08

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Package tidyterra updated to version 0.6.2 with previous version 0.6.1 dated 2024-06-08

Title: 'tidyverse' Methods and 'ggplot2' Helpers for 'terra' Objects
Description: Extension of the 'tidyverse' for 'SpatRaster' and 'SpatVector' objects of the 'terra' package. It includes also new 'geom_' functions that provide a convenient way of visualizing 'terra' objects with 'ggplot2'.
Author: Diego Hernangomez [aut, cre, cph] , Dewey Dunnington [ctb] , ggplot2 authors [cph]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

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Package LMest updated to version 3.2.5 with previous version 3.2.4 dated 2024-12-06

Title: Generalized Latent Markov Models
Description: Latent Markov models for longitudinal continuous and categorical data. See Bartolucci, Pandolfi, Pennoni (2017)<doi:10.18637/jss.v081.i04>.
Author: Francesco Bartolucci [aut, cre], Silvia Pandolfi [aut], Fulvia Pennoni [aut], Alessio Farcomeni [ctb], Alessio Serafini [ctb]
Maintainer: Francesco Bartolucci <francesco.bartolucci@unipg.it>

Diff between LMest versions 3.2.4 dated 2024-12-06 and 3.2.5 dated 2025-01-08

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Package ggbreak updated to version 0.1.3 with previous version 0.1.2 dated 2023-06-26

Title: Set Axis Break for 'ggplot2'
Description: An implementation of scale functions for setting axis breaks of a 'gg' plot (S Xu (2021) <doi:10.3389/fgene.2021.774846>).
Author: Guangchuang Yu [aut, cre, cph] , Shuangbin Xu [aut]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package funchir updated to version 0.3.0-1 with previous version 0.2.2 dated 2022-04-17

Title: Convenience Functions by Michael Chirico
Description: YACFP (Yet Another Convenience Function Package). get_age() is a fast & accurate tool for measuring fractional years between two dates. stale_package_check() tries to identify any library() calls to unused packages.
Author: Michael Chirico [aut, cre]
Maintainer: Michael Chirico <MichaelChirico4@gmail.com>

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Package Familias updated to version 2.6.2 with previous version 2.6.1 dated 2024-01-09

Title: Probabilities for Pedigrees Given DNA Data
Description: An interface to the core 'Familias' functions which are programmed in C++. The implementation is described in Egeland, Mostad and Olaisen (1997) <doi:10.1016/S1355-0306(97)72202-0> and Simonsson and Mostad (2016) <doi:10.1016/j.fsigen.2016.04.005>.
Author: Petter Mostad [aut], Thore Egeland [aut, cre], Ivar Simonsson [aut]
Maintainer: Thore Egeland <Thore.Egeland@nmbu.no>

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Package breathtestcore updated to version 0.8.9 with previous version 0.8.8 dated 2024-12-03

Title: Core Functions to Read and Fit 13c Time Series from Breath Tests
Description: Reads several formats of 13C data (IRIS/Wagner, BreathID) and CSV. Creates artificial sample data for testing. Fits Maes/Ghoos, Bluck-Coward self-correcting formula using 'nls', 'nlme'. Methods to fit breath test curves with Bayesian Stan methods are refactored to package 'breathteststan'. For a Shiny GUI, see package 'dmenne/breathtestshiny' on github.
Author: Dieter Menne [aut, cre], Menne Biomed Consulting Tuebingen [cph], Benjamin Misselwitz [fnd], Mark Fox [fnd], Andreas Steingoetter [dtc], University Hospital of Zurich, Dep. Gastroenterology [fnd, dtc]
Maintainer: Dieter Menne <dieter.menne@menne-biomed.de>

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Package AmigaFFH updated to version 0.4.7 with previous version 0.4.5 dated 2024-02-29

Title: Commodore Amiga File Format Handler
Description: Modern software often poorly support older file formats. This package intends to handle many file formats that were native to the antiquated Commodore Amiga machine. This package focuses on file types from the older Amiga operating systems (<= 3.0). It will read and write specific file formats and coerces them into more contemporary data.
Author: Pepijn de Vries [aut, cre, dtc]
Maintainer: Pepijn de Vries <pepijn.devries@outlook.com>

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Package amadeus updated to version 1.2.2 with previous version 1.1.6 dated 2024-11-13

Title: Accessing and Analyzing Large-Scale Environmental Data
Description: Functions are designed to facilitate access to and utility with large scale, publicly available environmental data in R. The package contains functions for downloading raw data files from web URLs (download_data()), processing the raw data files into clean spatial objects (process_covariates()), and extracting values from the spatial data objects at point and polygon locations (calculate_covariates()). These functions call a series of source-specific functions which are tailored to each data sources/datasets particular URL structure, data format, and spatial/temporal resolution. The functions are tested, versioned, and open source and open access. For sum_edc() method details, see Messier, Akita, and Serre (2012) <doi:10.1021/es203152a>.
Author: Mitchell Manware [aut, ctb] , Insang Song [aut, ctb] , Eva Marques [aut, ctb] , Mariana Alifa Kassien [aut, ctb] , Elizabeth Scholl [ctb] , Kyle Messier [aut, cre] , Spatiotemporal Exposures and Toxicology Group [cph]
Maintainer: Kyle Messier <kyle.messier@nih.gov>

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Package statnet.common updated to version 4.11.0 with previous version 4.10.0 dated 2024-10-06

Title: Common R Scripts and Utilities Used by the Statnet Project Software
Description: Non-statistical utilities used by the software developed by the Statnet Project. They may also be of use to others.
Author: Pavel N. Krivitsky [aut, cre] , Skye Bender-deMoll [ctb], Chad Klumb [ctb]
Maintainer: Pavel N. Krivitsky <pavel@statnet.org>

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New package spqdep with initial version 0.1.3.5
Package: spqdep
Title: Testing for Spatial Independence of Cross-Sectional Qualitative Data
Version: 0.1.3.5
Date: 2024-12-17
Description: Testing for Spatial Dependence of Qualitative Data in Cross Section. The list of functions includes join-count tests, Q test, spatial scan test, similarity test and spatial runs test. The methodology of these models can be found in <doi:10.1007/s10109-009-0100-1> and <doi:10.1080/13658816.2011.586327>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://f8l5h9.github.io/spqdep/
LazyData: true
VignetteBuilder: knitr
Imports: broom, dplyr, ggplot2, gt, gtools, igraph, Matrix, methods, purrr, rsample, sf, sp, spatialreg, spdep, stats, tidyr
Depends: R (>= 2.10)
Suggests: knitr, rmarkdown
BugReports: https://github.com/f8l5h9/spqdep/issues
NeedsCompilation: no
Packaged: 2024-12-18 10:30:18 UTC; fernandoair
Author: Fernando Lopez [aut, cre] , Roman Minguez [aut] , Antonio Paez [aut] , Manuel Ruiz [aut]
Maintainer: Fernando Lopez <fernando.lopez@upct.es>
Repository: CRAN
Date/Publication: 2025-01-08 09:00:02 UTC

More information about spqdep at CRAN
Permanent link

Package QuickJSR updated to version 1.5.1 with previous version 1.4.0 dated 2024-10-01

Title: Interface for the 'QuickJS' Lightweight 'JavaScript' Engine
Description: An 'R' interface to the 'QuickJS' portable 'JavaScript' engine. The engine and all 'R' to 'JavaScript' interoperability is bundled within the package, requiring no dependencies beyond a 'C' compiler.
Author: Andrew R. Johnson [aut, cre] , Fabrice Bellard [cph] , Charlie Gordon [cph] , QuickJS-NG Authors [cph]
Maintainer: Andrew R. Johnson <andrew.johnson@arjohnsonau.com>

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Package qfa updated to version 4.0 with previous version 3.1 dated 2024-12-20

Title: Quantile-Frequency Analysis (QFA) of Time Series
Description: Quantile-frequency analysis (QFA) of time series based on trigonometric quantile regression. Spline quantile regression (SQR) for regression coefficient estimation. References: [1] Li, T.-H. (2012) "Quantile periodograms", Journal of the American Statistical Association, 107, 765–776, <doi:10.1080/01621459.2012.682815>. [2] Li, T.-H. (2014) Time Series with Mixed Spectra, CRC Press, <doi:10.1201/b15154> [3] Li, T.-H. (2022) "Quantile Fourier transform, quantile series, and nonparametric estimation of quantile spectra", <doi:10.48550/arXiv.2211.05844>. [4] Li, T.-H. (2024) "Quantile crossing spectrum and spline autoregression estimation," <doi:10.48550/arXiv.2412.02513>. [5] Li, T.-H. (2024) "Spline autoregression method for estimation of quantile spectrum", <doi:10.48550/arXiv.2412.17163>.
Author: Ta-Hsin Li [cre, aut]
Maintainer: Ta-Hsin Li <thl024@outlook.com>

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Package pastboon updated to version 0.1.3 with previous version 0.1.2 dated 2024-08-22

Title: Simulation of Parameterized Stochastic Boolean Networks
Description: A Boolean network is a particular kind of discrete dynamical system where the variables are simple binary switches. Despite its simplicity, Boolean network modeling has been a successful method to describe the behavioral pattern of various phenomena. Applying stochastic noise to Boolean networks is a useful approach for representing the effects of various perturbing stimuli on complex systems. A number of methods have been developed to control noise effects on Boolean networks using parameters integrated into the update rules. This package provides functions to examine three such methods: Boolean network with perturbations (BNp), described by Trairatphisan et al. (2013) <doi:10.1186/1478-811X-11-46>, stochastic discrete dynamical systems (SDDS), proposed by Murrugarra et al. (2012) <doi:10.1186/1687-4153-2012-5>, and Boolean network with probabilistic edge weights (PEW), presented by Deritei et al. (2022) <doi:10.1371/journal.pcbi.1010536>. This package includes sourc [...truncated...]
Author: Mohammad Taheri-Ledari [aut, cre, cph] , Kaveh Kavousi [ctb] , Sayed-Amir Marashi [ctb] , Authors of BoolNet [ctb] , Troy D. Hanson [ctb]
Maintainer: Mohammad Taheri-Ledari <mo.taheri@ut.ac.ir>

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Package OmopSketch updated to version 0.2.0 with previous version 0.1.2 dated 2024-11-12

Title: Characterise Tables of an OMOP Common Data Model Instance
Description: Summarises key information in data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model. Assess suitability to perform specific epidemiological studies and explore the different domains to obtain feasibility counts and trends.
Author: Marta Alcalde-Herraiz [aut] , Kim Lopez-Guell [aut] , Elin Rowlands [aut] , Cecilia Campanile [aut, cre] , Edward Burn [aut] , Marti Catala [aut]
Maintainer: Cecilia Campanile <cecilia.campanile@ndorms.ox.ac.uk>

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Package labelled updated to version 2.14.0 with previous version 2.13.0 dated 2024-04-23

Title: Manipulating Labelled Data
Description: Work with labelled data imported from 'SPSS' or 'Stata' with 'haven' or 'foreign'. This package provides useful functions to deal with "haven_labelled" and "haven_labelled_spss" classes introduced by 'haven' package.
Author: Joseph Larmarange [aut, cre] , Daniel Ludecke [ctb], Hadley Wickham [ctb], Michal Bojanowski [ctb], Francois Briatte [ctb]
Maintainer: Joseph Larmarange <joseph@larmarange.net>

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Package inlpubs updated to version 1.2.0 with previous version 1.1.3 dated 2024-07-02

Title: USGS INL Project Office Publications
Description: Contains bibliographic information for the U.S. Geological Survey (USGS) Idaho National Laboratory (INL) Project Office.
Author: Jason C. Fisher [aut, cre] , Kerri C. Treinen [aut] , Allison R. Trcka [aut]
Maintainer: Jason C. Fisher <jfisher@usgs.gov>

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Package ILSAmerge updated to version 1.3.5 with previous version 1.3.0 dated 2024-11-26

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), and others.
Author: Andres Christiansen [aut, cre] , Andres Strello [ctb]
Maintainer: Andres Christiansen <andres.christiansen@iea-hamburg.de>

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Package iForecast updated to version 1.1.0 with previous version 1.0.9 dated 2024-10-31

Title: Machine Learning Time Series Forecasting
Description: Compute static, onestep and multistep time series forecasts for machine learning models.
Author: Ho Tsung-wu [aut, cre]
Maintainer: Ho Tsung-wu <tsungwu@ntnu.edu.tw>

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Package GE updated to version 0.4.8 with previous version 0.4.5 dated 2024-06-05

Title: General Equilibrium Modeling
Description: Some tools for developing general equilibrium models and some general equilibrium models. These models can be used for teaching economic theory and are built by the methods of new structural economics (see LI Wu, 2019, ISBN: 9787521804225, General Equilibrium and Structural Dynamics: Perspectives of New Structural Economics. Beijing: Economic Science Press). The model form and mathematical methods can be traced back to J. von Neumann (1945, A Model of General Economic Equilibrium. The Review of Economic Studies, 13. pp. 1-9), J. G. Kemeny, O. Morgenstern and G. L. Thompson (1956, A Generalization of the von Neumann Model of an Expanding Economy, Econometrica, 24, pp. 115-135) et al. By the way, J. G. Kemeny is a co-inventor of the computer language BASIC.
Author: Wu LI [aut, cre]
Maintainer: Wu LI <liwu.shu@qq.com>

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Package fastml updated to version 0.4.0 with previous version 0.3.0 dated 2024-12-16

Title: Fast Machine Learning Model Training and Evaluation
Description: Streamlines the training, evaluation, and comparison of multiple machine learning models with minimal code by providing comprehensive data preprocessing and support for a wide range of algorithms with hyperparameter tuning. It offers performance metrics and visualization tools to facilitate efficient and effective machine learning workflows.
Author: Selcuk Korkmaz [aut, cre] , Dincer Goksuluk [aut] , Eda Karaismailoglu [aut]
Maintainer: Selcuk Korkmaz <selcukorkmaz@gmail.com>

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Package codebook updated to version 0.9.6 with previous version 0.9.5 dated 2024-10-14

Title: Automatic Codebooks from Metadata Encoded in Dataset Attributes
Description: Easily automate the following tasks to describe data frames: Summarise the distributions, and labelled missings of variables graphically and using descriptive statistics. For surveys, compute and summarise reliabilities (internal consistencies, retest, multilevel) for psychological scales. Combine this information with metadata (such as item labels and labelled values) that is derived from R attributes. To do so, the package relies on 'rmarkdown' partials, so you can generate HTML, PDF, and Word documents. Codebooks are also available as tables (CSV, Excel, etc.) and in JSON-LD, so that search engines can find your data and index the metadata. The metadata are also available at your fingertips via RStudio Addins.
Author: Ruben Arslan [aut, cre]
Maintainer: Ruben Arslan <ruben.arslan@gmail.com>

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Package breathteststan updated to version 0.8.9 with previous version 0.8.8 dated 2024-12-03

Title: Stan-Based Fit to Gastric Emptying Curves
Description: Stan-based curve-fitting function for use with package 'breathtestcore' by the same author. Stan functions are refactored here for easier testing.
Author: Dieter Menne [aut, cre], Menne Biomed Consulting Tuebingen [cph], Benjamin Misselwitz [fnd], Mark Fox [fnd], University Hospital of Zurich, Dep. Gastroenterology [fnd, dtc]
Maintainer: Dieter Menne <dieter.menne@menne-biomed.de>

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Package spaa updated to version 0.2.5 with previous version 0.2.2 dated 2016-06-13

Title: SPecies Association Analysis
Description: Miscellaneous functions for analysing species association and niche overlap.
Author: Jinlong Zhang [aut, cre]
Maintainer: Jinlong Zhang <jinlongzhang01@gmail.com>

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More information about spaa at CRAN
Permanent link

Package simStateSpace updated to version 1.2.7 with previous version 1.2.3 dated 2024-11-26

Title: Simulate Data from State Space Models
Description: Provides a streamlined and user-friendly framework for simulating data in state space models, particularly when the number of subjects/units (n) exceeds one, a scenario commonly encountered in social and behavioral sciences. For an introduction to state space models in social and behavioral sciences, refer to Chow, Ho, Hamaker, and Dolan (2010) <doi:10.1080/10705511003661553>.
Author: Ivan Jacob Agaloos Pesigan [aut, cre, cph]
Maintainer: Ivan Jacob Agaloos Pesigan <r.jeksterslab@gmail.com>

Diff between simStateSpace versions 1.2.3 dated 2024-11-26 and 1.2.7 dated 2025-01-08

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 simStateSpace-1.2.7/simStateSpace/DESCRIPTION                                                   |   11 
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 98 files changed, 176 insertions(+), 38 deletions(-)

More information about simStateSpace at CRAN
Permanent link

Package scorematchingad updated to version 0.1.1 with previous version 0.0.67 dated 2024-07-24

Title: Score Matching Estimation by Automatic Differentiation
Description: Hyvärinen's score matching (Hyvärinen, 2005) <https://jmlr.org/papers/v6/hyvarinen05a.html> is a useful estimation technique when the normalising constant for a probability distribution is difficult to compute. This package implements score matching estimators using automatic differentiation in the 'CppAD' library <https://github.com/coin-or/CppAD> and is designed for quickly implementing score matching estimators for new models. Also available is general robustification (Windham, 1995) <https://www.jstor.org/stable/2346159>. Already in the package are estimators for directional distributions (Mardia, Kent and Laha, 2016) <doi:10.48550/arXiv.1604.08470> and the flexible Polynomially-Tilted Pairwise Interaction model for compositional data. The latter estimators perform well when there are zeros in the compositions (Scealy and Wood, 2023) <doi:10.1080/01621459.2021.2016422>, even many zeros (Scealy, Hingee, Kent, and Wood, 2024) <doi:10.1007/s11222-024-1 [...truncated...]
Author: Kassel Liam Hingee [aut, cre] , Janice Scealy [aut] , Bradley M. Bell [cph]
Maintainer: Kassel Liam Hingee <kassel.hingee@anu.edu.au>

Diff between scorematchingad versions 0.0.67 dated 2024-07-24 and 0.1.1 dated 2025-01-08

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Package BayesVarSel updated to version 2.4.5 with previous version 2.2.5 dated 2023-03-08

Title: Bayes Factors, Model Choice and Variable Selection in Linear Models
Description: Bayes factors and posterior probabilities in Linear models, aimed at provide a formal Bayesian answer to testing and variable selection problems.
Author: Gonzalo Garcia-Donato [aut, cre], Anabel Forte [aut], Carlos Vergara-Hernandez [ctb]
Maintainer: Gonzalo Garcia-Donato <gonzalo.garciadonato@uclm.es>

Diff between BayesVarSel versions 2.2.5 dated 2023-03-08 and 2.4.5 dated 2025-01-08

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Package memochange updated to version 1.1.2 with previous version 1.1.1 dated 2020-07-26

Title: Testing for Structural Breaks under Long Memory and Testing for Changes in Persistence
Description: Test procedures and break point estimators for persistent processes that exhibit structural breaks in mean or in persistence. On the one hand the package contains the most popular approaches for testing whether a time series exhibits a break in persistence from I(0) to I(1) or vice versa, such as those of Busetti and Taylor (2004) and Leybourne, Kim, and Taylor (2007). The approach by Martins and Rodrigues (2014), which allows to detect changes from I(d1) to I(d2) with d1 and d2 being non-integers, is included as well. In case the tests reject the null of constant persistence, various breakpoint estimators are available to detect the point of the break as well as the order of integration in the two regimes. On the other hand the package contains the most popular approaches to test for a change-in-mean of a long-memory time series, which were recently reviewed by Wenger, Leschinski, and Sibbertsen (2018). These include memory robust versions of the CUSUM, sup-Wald, and Wilcoxon type tes [...truncated...]
Author: Janis Becker [aut], Kai Wenger [aut, cre]
Maintainer: Kai Wenger <kai.wenger@gmx.de>

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Package arrow updated to version 18.1.0.1 with previous version 18.1.0 dated 2024-12-05

Title: Integration to 'Apache' 'Arrow'
Description: 'Apache' 'Arrow' <https://arrow.apache.org/> is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. This package provides an interface to the 'Arrow C++' library.
Author: Neal Richardson [aut], Ian Cook [aut], Nic Crane [aut], Dewey Dunnington [aut] , Romain Francois [aut] , Jonathan Keane [aut, cre], Dragoș Moldovan-Gruenfeld [aut], Jeroen Ooms [aut], Jacob Wujciak-Jens [aut], Javier Luraschi [ctb], Karl Dunkle Werner [...truncated...]
Maintainer: Jonathan Keane <jkeane@gmail.com>

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Package tidyquant updated to version 1.0.10 with previous version 1.0.9 dated 2024-09-02

Title: Tidy Quantitative Financial Analysis
Description: Bringing business and financial analysis to the 'tidyverse'. The 'tidyquant' package provides a convenient wrapper to various 'xts', 'zoo', 'quantmod', 'TTR' and 'PerformanceAnalytics' package functions and returns the objects in the tidy 'tibble' format. The main advantage is being able to use quantitative functions with the 'tidyverse' functions including 'purrr', 'dplyr', 'tidyr', 'ggplot2', 'lubridate', etc. See the 'tidyquant' website for more information, documentation and examples.
Author: Matt Dancho [aut, cre], Davis Vaughan [aut]
Maintainer: Matt Dancho <mdancho@business-science.io>

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Package spphpr updated to version 1.0.0 with previous version 0.1.4 dated 2024-12-13

Title: Spring Phenological Prediction
Description: Predicts the occurrence times (in day-of-year) of spring phenological events. Three methods, including the accumulated degree days (ADD) method, the accumulated days transferred to a standardized temperature (ADTS) method, and the accumulated developmental progress (ADP) method, were used. See Shi et al. (2017a) <doi:10.1016/j.agrformet.2017.04.001> and Shi et al. (2017b) <doi:10.1093/aesa/sax063> for details.
Author: Peijian Shi [aut, cre], Zhenghong Chen [aut], Brady K. Quinn [aut]
Maintainer: Peijian Shi <pjshi@njfu.edu.cn>

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Package RPresto updated to version 1.4.7 with previous version 1.4.6 dated 2023-10-31

Title: DBI Connector to Presto
Description: Implements a 'DBI' compliant interface to Presto. Presto is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes: <https://prestodb.io/>.
Author: Onur Ismail Filiz [aut], Sergey Goder [aut], Jarod G.R. Meng [aut, cre], Thomas J. Leeper [ctb], John Myles White [ctb]
Maintainer: Jarod G.R. Meng <jarodm@fb.com>

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Package ollamar updated to version 1.2.2 with previous version 1.2.1 dated 2024-08-25

Title: 'Ollama' Language Models
Description: An interface to easily run local language models with 'Ollama' <https://ollama.com> server and API endpoints (see <https://github.com/ollama/ollama/blob/main/docs/api.md> for details). It lets you run open-source large language models locally on your machine.
Author: Hause Lin [aut, cre, cph] , Tawab Safi [aut, ctb]
Maintainer: Hause Lin <hauselin@gmail.com>

Diff between ollamar versions 1.2.1 dated 2024-08-25 and 1.2.2 dated 2025-01-08

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Package gmvarkit updated to version 2.1.4 with previous version 2.1.3 dated 2024-12-04

Title: Estimate Gaussian and Student's t Mixture Vector Autoregressive Models
Description: Unconstrained and constrained maximum likelihood estimation of structural and reduced form Gaussian mixture vector autoregressive, Student's t mixture vector autoregressive, and Gaussian and Student's t mixture vector autoregressive models, quantile residual tests, graphical diagnostics, simulations, forecasting, and estimation of generalized impulse response function and generalized forecast error variance decomposition. Leena Kalliovirta, Mika Meitz, Pentti Saikkonen (2016) <doi:10.1016/j.jeconom.2016.02.012>, Savi Virolainen (2025) <doi:10.1080/07350015.2024.2322090>, Savi Virolainen (2022) <doi:10.48550/arXiv.2109.13648>.
Author: Savi Virolainen [aut, cre]
Maintainer: Savi Virolainen <savi.virolainen@helsinki.fi>

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Package bage updated to version 0.9.0 with previous version 0.7.4 dated 2024-08-28

Title: Bayesian Estimation and Forecasting of Age-Specific Rates
Description: Fast Bayesian estimation and forecasting of age-specific rates, probabilities, and means, based on 'Template Model Builder'.
Author: John Bryant [aut, cre], Junni Zhang [aut], Bayesian Demography Limited [cph]
Maintainer: John Bryant <john@bayesiandemography.com>

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Package backtestGraphics updated to version 0.1.8 with previous version 0.1.7 dated 2024-12-20

Title: Interactive Graphics for Portfolio Data
Description: Creates an interactive graphics interface to visualize backtest results of different financial instruments, such as equities, futures, and credit default swaps. The package does not run backtests on the given data set but displays a graphical explanation of the backtest results. Users can look at backtest graphics for different instruments, investment strategies, and portfolios. Summary statistics of different portfolio holdings are shown in the left panel, and interactive plots of profit and loss (P&L), net market value (NMV) and gross market value (GMV) are displayed in the right panel.
Author: Yanrong Song [aut, cre], Zijie Zhu [aut], David Kane [aut], Ziqi Lu [aut], Karan Tibrewal [aut], Fan Zhang [aut]
Maintainer: Yanrong Song <yrsong129@gmail.com>

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