Thu, 13 Feb 2025

Package parsnip updated to version 1.3.0 with previous version 1.2.1 dated 2024-03-22

Title: A Common API to Modeling and Analysis Functions
Description: A common interface is provided to allow users to specify a model without having to remember the different argument names across different functions or computational engines (e.g. 'R', 'Spark', 'Stan', 'H2O', etc).
Author: Max Kuhn [aut, cre], Davis Vaughan [aut], Emil Hvitfeldt [ctb], Posit Software, PBC [cph, fnd]
Maintainer: Max Kuhn <max@posit.co>

Diff between parsnip versions 1.2.1 dated 2024-03-22 and 1.3.0 dated 2025-02-13

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Package omopgenerics updated to version 1.0.0 with previous version 0.4.1 dated 2024-12-05

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

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Package epiomics updated to version 1.2.0 with previous version 1.1.0 dated 2024-02-26

Title: Analysis of Omics Data in Observational Studies
Description: A collection of fast and flexible functions for analyzing omics data in observational studies. Multiple different approaches for integrating multiple environmental/genetic factors, omics data, and/or phenotype data are implemented. This includes functions for performing omics wide association studies with one or more variables of interest as the exposure or outcome; a function for performing a meet in the middle analysis for linking exposures, omics, and outcomes (as described by Chadeau-Hyam et al., (2010) <doi:10.3109/1354750X.2010.533285>); and a function for performing a mixtures analysis across all omics features using quantile-based g-Computation (as described by Keil et al., (2019) <doi:10.1289/EHP5838>).
Author: Jesse Goodrich [aut, cre]
Maintainer: Jesse Goodrich <jagoodri@usc.edu>

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Package r2dii.analysis updated to version 0.5.0 with previous version 0.4.0 dated 2024-03-26

Title: Measure Climate Scenario Alignment of Corporate Loans
Description: These tools help you to assess if a corporate lending portfolio aligns with climate goals. They summarize key climate indicators attributed to the portfolio (e.g. production, emission factors), and calculate alignment targets based on climate scenarios. They implement in R the last step of the free software 'PACTA' (Paris Agreement Capital Transition Assessment; <https://www.transitionmonitor.com/>). Financial institutions use 'PACTA' to study how their capital allocation decisions align with climate change mitigation goals.
Author: Jacob Kastl [aut, cre, ctr] , Alex Axthelm [aut, ctr] , Jackson Hoffart [aut, ctr] , Mauro Lepore [aut, ctr] , Klaus Hogedorn [aut], Nicky Halterman [aut], RMI [cph, fnd]
Maintainer: Jacob Kastl <jacob.kastl@gmail.com>

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Package mkin updated to version 1.2.9 with previous version 1.2.6 dated 2023-10-14

Title: Kinetic Evaluation of Chemical Degradation Data
Description: Calculation routines based on the FOCUS Kinetics Report (2006, 2014). Includes a function for conveniently defining differential equation models, model solution based on eigenvalues if possible or using numerical solvers. If a C compiler (on windows: 'Rtools') is installed, differential equation models are solved using automatically generated C functions. Non-constant errors can be taken into account using variance by variable or two-component error models <doi:10.3390/environments6120124>. Hierarchical degradation models can be fitted using nonlinear mixed-effects model packages as a back end <doi:10.3390/environments8080071>. Please note that no warranty is implied for correctness of results or fitness for a particular purpose.
Author: Johannes Ranke [aut, cre, cph] , Katrin Lindenberger [ctb] ), Rene Lehmann [ctb] and invilr), Eurofins Regulatory AG [cph]
Maintainer: Johannes Ranke <johannes.ranke@jrwb.de>

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Package automap updated to version 1.1-16 with previous version 1.1-12 dated 2024-09-03

Title: Automatic Interpolation Package
Description: An automatic interpolation is done by automatically estimating the variogram and then calling gstat. An overview is given by Hiemstra et al (2008) <doi:10.1016/j.cageo.2008.10.011>.
Author: Paul Hiemstra [aut], Jon Olav Skoien [aut, cre]
Maintainer: Jon Olav Skoien <jon.skoien@gmail.com>

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Package micromapST updated to version 3.1.0 with previous version 3.0.4 dated 2024-10-26

Title: Linked Micromap Plots for U. S. and Other Geographic Areas
Description: Provides the users with the ability to quickly create linked micromap plots for a collection of geographic areas. Linked micromap plots are visualizations of geo-referenced data that link statistical graphics to an organized series of small maps or graphic images. The Help description contains examples of how to use the 'micromapST' function. Contained in this package are border group datasets to support creating linked micromap plots for the 50 U.S. states and District of Columbia (51 areas), the U. S. 20 Seer Registries, the 105 counties in the state of Kansas, the 62 counties of New York, the 24 counties of Maryland, the 29 counties of Utah, the 32 administrative areas in China, the 218 administrative areas in the UK and Ireland (for testing only), the 25 districts in the city of Seoul South Korea, and the 52 counties on the Africa continent. A border group dataset contains the boundaries related to the data level areas, a second layer boundaries, a top or third layer boundary, a pa [...truncated...]
Author: Jim Pearson [aut, cre, cph], Dan Carr [aut, cph], Linda Pickle [ctb, cph]
Maintainer: Jim Pearson <jbpearson353@gmail.com>

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Package lightgbm updated to version 4.6.0 with previous version 4.5.0 dated 2024-07-26

Title: Light Gradient Boosting Machine
Description: Tree based algorithms can be improved by introducing boosting frameworks. 'LightGBM' is one such framework, based on Ke, Guolin et al. (2017) <https://papers.nips.cc/paper/6907-lightgbm-a-highly-efficient-gradient-boosting-decision>. This package offers an R interface to work with it. It is designed to be distributed and efficient with the following advantages: 1. Faster training speed and higher efficiency. 2. Lower memory usage. 3. Better accuracy. 4. Parallel learning supported. 5. Capable of handling large-scale data. In recognition of these advantages, 'LightGBM' has been widely-used in many winning solutions of machine learning competitions. Comparison experiments on public datasets suggest that 'LightGBM' can outperform existing boosting frameworks on both efficiency and accuracy, with significantly lower memory consumption. In addition, parallel experiments suggest that in certain circumstances, 'LightGBM' can achieve a linear speed-up in training time by using multiple m [...truncated...]
Author: Yu Shi [aut], Guolin Ke [aut], Damien Soukhavong [aut], James Lamb [aut, cre], Qi Meng [aut], Thomas Finley [aut], Taifeng Wang [aut], Wei Chen [aut], Weidong Ma [aut], Qiwei Ye [aut], Tie-Yan Liu [aut], Nikita Titov [aut], Yachen Yan [ctb], Microsof [...truncated...]
Maintainer: James Lamb <jaylamb20@gmail.com>

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Package CASMI updated to version 2.0.0 with previous version 1.2.2 dated 2024-02-16

Title: 'CASMI'-Based Functions
Description: Contains Coverage Adjusted Standardized Mutual Information ('CASMI')-based functions. 'CASMI' is a fundamental concept of a series of methods. For more information about 'CASMI' and 'CASMI'-related methods, please refer to the corresponding publications (e.g., a feature selection method, Shi, J., Zhang, J., & Ge, Y. (2019) <doi:10.3390/e21121179>, and a dataset quality measurement method, Shi, J., Zhang, J., & Ge, Y. (2019) <doi:10.1109/ICHI.2019.8904553>) or contact the package author for the latest updates.
Author: Jingyi Shi [aut, cre, cph, ctb], Shirli Arndt [aut], Jialin Zhang [ctb]
Maintainer: Jingyi (Catherine) Shi <jshi@math.msstate.edu>

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Package wikkitidy updated to version 0.1.14 with previous version 0.1.13 dated 2024-08-17

Title: Tidy Analysis of Wikipedia
Description: Access 'Wikipedia' through the several 'MediaWiki' APIs (<https://www.mediawiki.org/wiki/API>), as well as through the 'XTools' API (<https://www.mediawiki.org/wiki/XTools/API>). Ensure your API calls are correct, and receive results in tidy tibbles.
Author: Michael Falk [aut, cre, cph]
Maintainer: Michael Falk <michaelgfalk@gmail.com>

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Package reveneraR updated to version 1.0.0 with previous version 0.1.2 dated 2022-08-06

Title: Connect to Your 'Revenera' (Formerly 'Revulytics') Data
Description: Facilitates making a connection to the 'Revenera' API and executing various queries. You can use it to get event data and metadata. The 'Revenera' documentation is available at <https://rui-api.redoc.ly/>. This package is not supported by 'Flexera' (owner of the software).
Author: Chris Umphlett [aut, cre], Avinash Panigrahi [aut]
Maintainer: Chris Umphlett <christopher.umphlett@gmail.com>

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Package IsoplotRgui updated to version 6.5 with previous version 6.4 dated 2024-10-19

Title: Web Interface to 'IsoplotR'
Description: Provides a graphical user interface to the 'IsoplotR' package for radiometric geochronology. The GUI runs in an internet browser and can either be used offline, or hosted on a server to provide online access to the 'IsoplotR' toolbox.
Author: Pieter Vermeesch [aut, cre], Tim Band [ctb]
Maintainer: Pieter Vermeesch <p.vermeesch@ucl.ac.uk>

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

Title: qPCR Data Analysis
Description: Various methods are employed for statistical analysis and graphical presentation of real-time PCR (quantitative PCR or qPCR) data. 'rtpcr' handles amplification efficiency calculation, statistical analysis and graphical representation of real-time PCR data based on up to two reference genes. By accounting for amplification efficiency values, 'rtpcr' was developed using a general calculation method described by Ganger et al. (2017) <doi:10.1186/s12859-017-1949-5> and Taylor et al. (2019) <doi:10.1016/j.tibtech.2018.12.002>, covering both the Livak and Pfaffl methods. Based on the experimental conditions, the functions of the 'rtpcr' package use t-test (for experiments with a two-level factor), analysis of variance (ANOVA), analysis of covariance (ANCOVA) or analysis of repeated measure data to calculate the fold change (FC, Delta Delta Ct method) or relative expression (RE, Delta Ct method). The functions further provide standard errors and confidence intervals for means, a [...truncated...]
Author: Ghader Mirzaghaderi [aut, cre, cph]
Maintainer: Ghader Mirzaghaderi <gh.mirzaghaderi@uok.ac.ir>

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Package rcompanion updated to version 2.5.0 with previous version 2.4.36 dated 2024-05-27

Title: Functions to Support Extension Education Program Evaluation
Description: Functions and datasets to support Summary and Analysis of Extension Program Evaluation in R, and An R Companion for the Handbook of Biological Statistics. Vignettes are available at <https://rcompanion.org>.
Author: Salvatore Mangiafico [aut, cre]
Maintainer: Salvatore Mangiafico <mangiafico@njaes.rutgers.edu>

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Package Colossus updated to version 1.2 with previous version 1.1.4.2 dated 2024-10-21

Title: "Risk Model Regression and Analysis with Complex Non-Linear Models"
Description: Performs survival analysis using general non-linear models. Risk models can be the sum or product of terms. Each term is the product of exponential/linear functions of covariates. Additionally sub-terms can be defined as a sum of exponential, linear threshold, and step functions. Cox Proportional hazards <https://en.wikipedia.org/wiki/Proportional_hazards_model>, Poisson <https://en.wikipedia.org/wiki/Poisson_regression>, and Fine-Gray competing risks <https://www.publichealth.columbia.edu/research/population-health-methods/competing-risk-analysis> regression are supported. This work was sponsored by NASA Grant 80NSSC19M0161 through a subcontract from the National Council on Radiation Protection and Measurements (NCRP). The computing for this project was performed on the Beocat Research Cluster at Kansas State University, which is funded in part by NSF grants CNS-1006860, EPS-1006860, EPS-0919443, ACI-1440548, CHE-1726332, and NIH P20GM113109.
Author: Eric Giunta [aut, cre] , Amir Bahadori [ctb] , Dan Andresen [ctb], Linda Walsh [ctb] , Benjamin French [ctb] , Lawrence Dauer [ctb], John Boice Jr [ctb] , Kansas State University [cph], NASA [fnd], NCRP [fnd], NRC [fnd]
Maintainer: Eric Giunta <egiunta@ksu.edu>

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Package statConfR updated to version 0.2.0 with previous version 0.1.1 dated 2024-04-25

Title: Models of Decision Confidence and Measures of Metacognition
Description: Provides fitting functions and other tools for decision confidence and metacognition researchers, including meta-d'/d', often considered to be the gold standard to measure metacognitive efficiency, and information-theoretic measures of metacognition. Also allows to fit several static models of decision making and confidence.
Author: Manuel Rausch [aut, cre] , Sascha Meyen [aut] , Sebastian Hellmann [aut]
Maintainer: Manuel Rausch <manuel.rausch@hochschule-rhein-waal.de>

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Package groqR updated to version 0.0.3 with previous version 0.0.1 dated 2024-09-20

Title: A Coding Assistant using the Fast AI Inference 'Groq'
Description: A comprehensive suite of functions and 'RStudio' Add-ins leveraging the capabilities of open-source Large Language Models (LLMs) to support R developers. These functions offer a range of utilities, including text rewriting, translation, and general query capabilities. Additionally, the programming-focused functions provide assistance with debugging, translating, commenting, documenting, and unit testing code, as well as suggesting variable and function names, thereby streamlining the development process.
Author: Gabriel Kaiser [aut, cre]
Maintainer: Gabriel Kaiser <quantresearch.gk@gmail.com>

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Package dawaR updated to version 0.3.0 with previous version 0.2.7 dated 2024-12-07

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

Diff between dawaR versions 0.2.7 dated 2024-12-07 and 0.3.0 dated 2025-02-13

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 dawaR-0.3.0/dawaR/DESCRIPTION                                                                           |   10 
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 dawaR-0.3.0/dawaR/R/utils.R                                                                             |    7 
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 dawaR-0.3.0/dawaR/tests/testthat/_snaps/autocomplete.md                                                 |   14 
 dawaR-0.3.0/dawaR/tests/testthat/_snaps/base_api.md                                                     |   28 
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 dawaR-0.3.0/dawaR/tests/testthat/test-status_check.R                                                    |    1 
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Package spacetime updated to version 1.3-3 with previous version 1.3-2 dated 2024-09-04

Title: Classes and Methods for Spatio-Temporal Data
Description: Classes and methods for spatio-temporal data, including space-time regular lattices, sparse lattices, irregular data, and trajectories; utility functions for plotting data as map sequences (lattice or animation) or multiple time series; methods for spatial and temporal selection and subsetting, as well as for spatial/temporal/spatio-temporal matching or aggregation, retrieving coordinates, print, summary, etc.
Author: Edzer Pebesma [aut, cre] , Benedikt Graeler [ctb], Tom Gottfried [ctb], Robert J. Hijmans [ctb]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

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Package phenopix updated to version 2.4.5 with previous version 2.4.4 dated 2024-01-19

Title: Process Digital Images of a Vegetation Cover
Description: A collection of functions to process digital images, depict greenness index trajectories and extract relevant phenological stages.
Author: Gianluca Filippa [aut, cre], Edoardo Cremonese [aut], Mirco Migliavacca [aut], Marta Galvagno [aut], Matthias Folker [aut], Andrew D. Richardson [aut], Enrico Tomelleri [aut]
Maintainer: Gianluca Filippa <gian.filippa@gmail.com>

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Package fluxible updated to version 1.0.0 with previous version 0.0.1 dated 2024-08-27

Title: Ecosystem Gas Fluxes Calculations for Closed Loop Chamber Setup
Description: Processes the raw data from closed loop flux chamber (or tent) setups into ecosystem gas fluxes usable for analysis. It goes from a data frame of gas concentration over time (which can contain several measurements) and a meta data file indicating which measurement was done when, to a data frame of ecosystem gas fluxes including quality diagnostics. Functions provided include different models (exponential as described in Zhao et al (2018) <doi:10.1016/j.agrformet.2018.08.022>, quadratic and linear) to estimate the fluxes from the raw data, quality assessment, plotting for visual check and calculation of fluxes based on the setup specific parameters (chamber size, plot area, ...).
Author: Joseph Gaudard [aut, cre] , Paul Efren Santos-Andrade [aut], Richard James Telford [aut]
Maintainer: Joseph Gaudard <joseph.gaudard@pm.me>

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Package mlr3torch updated to version 0.2.1 with previous version 0.2.0 dated 2025-02-07

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

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Package mnet updated to version 0.1.4 with previous version 0.1.2 dated 2023-06-07

Title: Modeling Group Differences and Moderation Effects in Statistical Network Models
Description: A toolbox for modeling manifest and latent group differences and moderation effects in various statistical network models.
Author: Jonas Haslbeck [aut, cre]
Maintainer: Jonas Haslbeck <jonashaslbeck@protonmail.com>

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Package collegeScorecard updated to version 0.2.0 with previous version 0.1.0 dated 2024-07-29

Title: US College Scorecard Data
Description: Provides a tidied subset of the US College Scorecard dataset, containing institutional characteristics, enrollment, student aid, costs, and student outcomes at institutions of higher education in the United States.
Author: Garrick Aden-Buie [aut, cre, cph]
Maintainer: Garrick Aden-Buie <garrick@adenbuie.com>

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Package webdav updated to version 0.1.4 with previous version 0.1.3 dated 2025-01-08

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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New package DBCVindex with initial version 1.3
Encoding: UTF-8
Package: DBCVindex
Title: Calculates the Density-Based Clustering Validation (DBCV) Index
Version: 1.3
Description: A metric called 'Density-Based Clustering Validation index' (DBCV) index to evaluate clustering results, following the <https://github.com/pajaskowiak/clusterConfusion/blob/main/R/dbcv.R> 'R' implementation by Pablo Andretta Jaskowiak. Original 'DBCV' index article: Moulavi, D., Jaskowiak, P. A., Campello, R. J., Zimek, A., and Sander, J. (April 2014), "Density-based clustering validation", Proceedings of SDM 2014 -- the 2014 SIAM International Conference on Data Mining (pp. 839-847), <doi:10.1137/1.9781611973440.96>.
Depends: R (>= 4.0.0)
License: GPL-3
URL: https://github.com/davidechicco/DBCVindex
BugReports: https://github.com/davidechicco/DBCVindex/issues
Imports: qpdf
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-02-13 09:54:20 UTC; davide
Author: Davide Chicco [aut, cre]
Maintainer: Davide Chicco <davidechicco@davidechicco.it>
Repository: CRAN
Date/Publication: 2025-02-13 13:22:01 UTC

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Package CvmortalityMult updated to version 1.0.9 with previous version 1.0.8 dated 2025-02-06

Title: Cross-Validation for Multi-Population Mortality Models
Description: Implementation of cross-validation method for testing the forecasting accuracy of several multi-population mortality models. The family of multi-population includes several multi-population mortality models proposed through the actuarial and demography literature. The package includes functions for fitting and forecast the mortality rates of several populations. Additionally, we include functions for testing the forecasting accuracy of different multi-population models. References. Atance, D., Debon, A., and Navarro, E. (2020) <doi:10.3390/math8091550>. Bergmeir, C. & Benitez, J.M. (2012) <doi:10.1016/j.ins.2011.12.028>. Debon, A., Montes, F., & Martinez-Ruiz, F. (2011) <doi:10.1007/s13385-011-0043-z>. Lee, R.D. & Carter, L.R. (1992) <doi:10.1080/01621459.1992.10475265>. Russolillo, M., Giordano, G., & Haberman, S. (2011) <doi:10.1080/03461231003611933>. Santolino, M. (2023) <doi:10.3390/risks11100170>.
Author: David Atance [aut, cre] , Ana Debon [aut]
Maintainer: David Atance <david.atance@uah.es>

Diff between CvmortalityMult versions 1.0.8 dated 2025-02-06 and 1.0.9 dated 2025-02-13

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New package zonebuilder with initial version 0.1.0
Package: zonebuilder
Title: Create and Explore Geographic Zoning Systems
Version: 0.1.0
Description: Functions, documentation and example data to help divide geographic space into discrete polygons (zones). The package supports new zoning systems that are documented in the accompanying paper, "ClockBoard: A zoning system for urban analysis", by Lovelace et al. (2022) <doi:10.5311/JOSIS.2022.24.172>. The functions are motivated by research into the merits of different zoning systems (Openshaw, 1977) <doi:10.1068/a090169>. A flexible ClockBoard zoning system is provided, which breaks-up space by concentric rings and radial lines emanating from a central point. By default, the diameter of the rings grow according to the triangular number sequence (Ross & Knott, 2019) <doi:10.1080/26375451.2019.1598687> with the first 4 doughnuts (or annuli) measuring 1, 3, 6, and 10 km wide. These annuli are subdivided into equal segments (12 by default), creating the visual impression of a dartboard. Zones are labelled according to distance to the centre and angular distance from N [...truncated...]
License: GPL-3
BugReports: https://github.com/zonebuilders/zonebuilder/issues
Depends: R (>= 3.5.0)
Imports: sf, RColorBrewer, graphics, grDevices
Suggests: knitr, rmarkdown, tmap, tmaptools, dplyr, lwgeom, leaflet, covr, bookdown
VignetteBuilder: knitr
URL: https://github.com/zonebuilders/zonebuilder, https://zonebuilders.github.io/zonebuilder/
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-02-13 12:03:52 UTC; robin
Author: Robin Lovelace [aut, cre] , Martijn Tennekes [aut]
Maintainer: Robin Lovelace <rob00x@gmail.com>
Repository: CRAN
Date/Publication: 2025-02-13 12:40:02 UTC

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Package RQdeltaCT updated to version 1.3.2 with previous version 1.3.0 dated 2024-04-17

Title: Relative Quantification of Gene Expression using Delta Ct Methods
Description: The commonly used methods for relative quantification of gene expression levels obtained in real-time PCR (Polymerase Chain Reaction) experiments are the delta Ct methods, encompassing 2^-dCt and 2^-ddCt methods, originally proposed by Kenneth J. Livak and Thomas D. Schmittgen (2001) <doi:10.1006/meth.2001.1262>. The main idea is to normalise gene expression values using endogenous control gene, present gene expression levels in linear form by using the 2^-(value)^ transformation, and calculate differences in gene expression levels between groups of samples (or technical replicates of a single sample). The 'RQdeltaCT' package offers functions that cover both methods for comparison of either independent groups of samples or groups with paired samples, together with importing expression datasets, performing multi-step quality control of data, enabling numerous data visualisations, enrichment of the standard workflow with additional useful analyses (correlation analysis, Receiver Op [...truncated...]
Author: Daniel Zalewski [aut, cre]
Maintainer: Daniel Zalewski <daniel.piotr.zalewski@gmail.com>

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More information about RQdeltaCT at CRAN
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Package fitPoly updated to version 4.0.0 with previous version 3.0.0 dated 2018-03-16

Title: Genotype Calling for Bi-Allelic Marker Assays
Description: Genotyping assays for bi-allelic markers (e.g. SNPs) produce signal intensities for the two alleles. 'fitPoly' assigns genotypes (allele dosages) to a collection of polyploid samples based on these signal intensities. 'fitPoly' replaces the older package 'fitTetra' that was limited (a.o.) to only tetraploid populations whereas 'fitPoly' accepts any ploidy level. Reference: Voorrips RE, Gort G, Vosman B (2011) <doi:10.1186/1471-2105-12-172>. New functions added on conversion of data from SNP array software formats, drawing of XY-scatterplots with or without genotype colors, checking against expected F1 segregation patterns, comparing results from two different assays (probes) for the same SNP, recovery from a saveMarkerModels() crash.
Author: Roeland E. Voorrips [aut], Gerrit Gort [aut], Alejandro Therese Navarro [aut], Giorgio Tumino [aut, cre]
Maintainer: Giorgio Tumino <giorgio.tumino@wur.nl>

Diff between fitPoly versions 3.0.0 dated 2018-03-16 and 4.0.0 dated 2025-02-13

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New package tomledit with initial version 0.1.0
Package: tomledit
Title: Parse, Read, and Edit 'TOML'
Version: 0.1.0
Description: A toolkit for working with 'TOML' files in R while preserving formatting, comments, and structure. 'tomledit' enables serialization of R objects such as lists, data.frames, numeric, logical, and date vectors.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en
SystemRequirements: Cargo (Rust's package manager), rustc
Depends: R (>= 4.1.0)
Imports: rlang (>= 1.1.0)
URL: https://josiahparry.github.io/tomledit/
NeedsCompilation: yes
Packaged: 2025-02-12 21:55:35 UTC; josiahparry
Author: Josiah Parry [aut, cre]
Maintainer: Josiah Parry <josiah.parry@gmail.com>
Repository: CRAN
Date/Publication: 2025-02-13 11:30:03 UTC

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New package rchroma with initial version 0.1.0
Package: rchroma
Title: A Client for 'ChromaDB'
Version: 0.1.0
Description: Client for 'ChromaDB', a vector database for storing and querying embeddings. This package provides a convenient interface to interact with the REST API of 'ChromaDB' <https://docs.trychroma.com>.
License: MIT + file LICENSE
URL: https://github.com/cynkra/rchroma
BugReports: https://github.com/cynkra/rchroma/issues
Language: en-US
Encoding: UTF-8
Imports: httr2 (>= 1.0.0)
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, covr, spelling
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-02-13 04:22:40 UTC; david
Author: David Schoch [aut, cre] , Christoph Sax [aut], cynkra LLC [cph]
Maintainer: David Schoch <david@schochastics.net>
Repository: CRAN
Date/Publication: 2025-02-13 11:30:09 UTC

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New package PerMallows with initial version 1.14
Package: PerMallows
Title: Permutations and Mallows Distributions
Version: 1.14
Date: 2025-02-11
Description: Includes functions to work with the Mallows and Generalized Mallows Models. The considered distances are Kendall's-tau, Cayley, Hamming and Ulam and it includes functions for making inference, sampling and learning such distributions, some of which are novel in the literature. As a by-product, PerMallows also includes operations for permutations, paying special attention to those related with the Kendall's-tau, Cayley, Ulam and Hamming distances. It is also possible to generate random permutations at a given distance, or with a given number of inversions, or cycles, or fixed points or even with a given length on LIS (longest increasing subsequence).
License: GPL (>= 2)
Depends: R (>= 4.0)
Imports: utils
LinkingTo: Rcpp
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-02-13 09:21:59 UTC; ekhi
Author: Ekhine Irurozki [aut, cre], Borja Calvo [aut], Jose A. Lozano [aut]
Maintainer: Ekhine Irurozki <irurozki@telecom-paris.fr>
Repository: CRAN
Date/Publication: 2025-02-13 11:20:05 UTC

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Package IsoplotR updated to version 6.5 with previous version 6.4 dated 2024-10-19

Title: Statistical Toolbox for Radiometric Geochronology
Description: Plots U-Pb data on Wetherill and Tera-Wasserburg concordia diagrams. Calculates concordia and discordia ages. Performs linear regression of measurements with correlated errors using 'York', 'Titterington', 'Ludwig' and Omnivariant Generalised Least-Squares ('OGLS') approaches. Generates Kernel Density Estimates (KDEs) and Cumulative Age Distributions (CADs). Produces Multidimensional Scaling (MDS) configurations and Shepard plots of multi-sample detrital datasets using the Kolmogorov-Smirnov distance as a dissimilarity measure. Calculates 40Ar/39Ar ages, isochrons, and age spectra. Computes weighted means accounting for overdispersion. Calculates U-Th-He (single grain and central) ages, logratio plots and ternary diagrams. Processes fission track data using the external detector method and LA-ICP-MS, calculates central ages and plots fission track and other data on radial (a.k.a. 'Galbraith') plots. Constructs total Pb-U, Pb-Pb, Th-Pb, K-Ca, Re-Os, Sm-Nd, Lu-Hf, Rb-Sr and 230Th-U isoch [...truncated...]
Author: Pieter Vermeesch [aut, cre]
Maintainer: Pieter Vermeesch <p.vermeesch@ucl.ac.uk>

Diff between IsoplotR versions 6.4 dated 2024-10-19 and 6.5 dated 2025-02-13

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New package IFTPredictor with initial version 0.1.0
Package: IFTPredictor
Title: Predictions Using Item-Focused Tree Models
Version: 0.1.0
Author: Muditha L. Bodawatte Gedara [aut, cre], Barret A. Monchka [aut], Lisa M. Lix [aut]
Maintainer: Muditha L. Bodawatte Gedara <muditha.lakmali.1993@gmail.com>
Description: This function predicts item response probabilities and item responses using the item-focused tree model. The item-focused tree model combines logistic regression with recursive partitioning to detect Differential Item Functioning in dichotomous items. The model applies partitioning rules to the data, splitting it into homogeneous subgroups, and uses logistic regression within each subgroup to explain the data. Differential Item Functioning detection is achieved by examining potential group differences in item response patterns. This method is useful for understanding how different predictors, such as demographic or psychological factors, influence item responses across subgroups.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: DIFtree
Suggests: devtools, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-02-13 04:19:09 UTC; mudithalakmali
Repository: CRAN
Date/Publication: 2025-02-13 11:30:28 UTC

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New package fracARMA with initial version 0.1.0
Package: fracARMA
Title: Fractionally Integrated ARMA Model
Version: 0.1.0
Maintainer: Muhammed Irshad M <irshadmiitm@gmail.com>
Description: Implements fractional differencing with Autoregressive Moving Average models to analyse long-memory time series data. Traditional ARIMA models typically use integer values for differencing, which are suitable for time series with short memory or anti-persistent behaviour. In contrast, the Fractional ARIMA model allows fractional differencing, enabling it to effectively capture long memory characteristics in time series data. The ‘fracARMA’ package is user-friendly and allows users to manually input the fractional differencing parameter, which can be obtained using various estimators such as the GPH estimator, Sperio method, or Wavelet method and many. Additionally, the package enables users to directly feed the time series data, AR order, MA order, fractional differencing parameter, and the proportion of training data as a split ratio, all in a single command. The package is based on the reference from the paper of Irshad and others (2024, <doi:10.22271/maths.2024.v9.i6b.19 [...truncated...]
Encoding: UTF-8
License: GPL-3
Imports: forecast, fracdiff
NeedsCompilation: no
Packaged: 2025-02-12 18:30:01 UTC; irshad m
Author: Muhammed Irshad M [aut, cre], Dr. Kader Ali Sarkar [aut], Dr. Digvijay Singh Dhakre [aut], Prof. Debasis Bhattacharaya [aut]
Repository: CRAN
Date/Publication: 2025-02-13 11:20:02 UTC

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Package dials updated to version 1.4.0 with previous version 1.3.0 dated 2024-07-30

Title: Tools for Creating Tuning Parameter Values
Description: Many models contain tuning parameters (i.e. parameters that cannot be directly estimated from the data). These tools can be used to define objects for creating, simulating, or validating values for such parameters.
Author: Max Kuhn [aut], Hannah Frick [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Hannah Frick <hannah@posit.co>

Diff between dials versions 1.3.0 dated 2024-07-30 and 1.4.0 dated 2025-02-13

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More information about dials at CRAN
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Package tourr updated to version 1.2.4 with previous version 1.2.0 dated 2024-04-19

Title: Tour Methods for Multivariate Data Visualisation
Description: Implements geodesic interpolation and basis generation functions that allow you to create new tour methods from R.
Author: Hadley Wickham [aut, ctb] , Dianne Cook [aut, cre] , Nick Spyrison [ctb] , Ursula Laa [ctb] , H. Sherry Zhang [ctb] , Stuart Lee [ctb]
Maintainer: Dianne Cook <dicook@monash.edu>

Diff between tourr versions 1.2.0 dated 2024-04-19 and 1.2.4 dated 2025-02-13

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More information about tourr at CRAN
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New package swash with initial version 1.0.0
Package: swash
Title: Swash-Backwash Model for the Single Epidemic Wave
Version: 1.0.0
Date: 2025-02-12
Author: Thomas Wieland [aut, cre]
Maintainer: Thomas Wieland <geowieland@googlemail.com>
Description: The Swash-Backwash Model for the Single Epidemic Wave was developed by Cliff and Haggett (2006) <doi:10.1007/s10109-006-0027-8> to model the velocity of spread of infectious diseases across space. This package enables the calculation of the Swash-Backwash Model for user-supplied panel data on regional infections. The package also provides additional functions for bootstrap confidence intervals and data management.
License: GPL (>= 2)
Imports: methods
NeedsCompilation: no
Packaged: 2025-02-12 08:32:40 UTC; thoma
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-02-13 10:30:02 UTC

More information about swash at CRAN
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Package singleRcapture updated to version 0.2.3 with previous version 0.2.2 dated 2025-02-04

Title: Single-Source Capture-Recapture Models
Description: Implementation of single-source capture-recapture methods for population size estimation using zero-truncated, zero-one truncated and zero-truncated one-inflated Poisson, Geometric and Negative Binomial regression as well as Zelterman's and Chao's regression. Package includes point and interval estimators for the population size with variances estimated using analytical or bootstrap method. Details can be found in: van der Heijden et all. (2003) <doi:10.1191/1471082X03st057oa>, Böhning and van der Heijden (2019) <doi:10.1214/18-AOAS1232>, Böhning et al. (2020) Capture-Recapture Methods for the Social and Medical Sciences or Böhning and Friedl (2021) <doi:10.1007/s10260-021-00556-8>.
Author: Piotr Chlebicki [aut, ctb] , Maciej Beresewicz [aut, cre]
Maintainer: Maciej Beresewicz <maciej.beresewicz@ue.poznan.pl>

Diff between singleRcapture versions 0.2.2 dated 2025-02-04 and 0.2.3 dated 2025-02-13

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 singleRcapture-0.2.3/singleRcapture/man/farmsubmission.Rd                  |    2 
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 singleRcapture-0.2.3/singleRcapture/man/vcov.singleRStaticCountData.Rd     |    2 
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New package sgdGMF with initial version 1.0
Package: sgdGMF
Title: Estimation of Generalized Matrix Factorization Models via Stochastic Gradient Descent
Version: 1.0
Date: 2025-01-28
Description: Efficient framework to estimate high-dimensional generalized matrix factorization models using penalized maximum likelihood under a dispersion exponential family specification. Either deterministic and stochastic methods are implemented for the numerical maximization. In particular, the package implements the stochastic gradient descent algorithm with a block-wise mini-batch strategy to speed up the computations and an efficient adaptive learning rate schedule to stabilize the convergence. All the theoretical details can be found in Castiglione et al. (2024, <doi:10.48550/arXiv.2412.20509>). Other methods considered for the optimization are the alternated iterative re-weighted least squares and the quasi-Newton method with diagonal approximation of the Fisher information matrix discussed in Kidzinski et al. (2022, <http://jmlr.org/papers/v23/20-1104.html>).
License: MIT + file LICENSE
Imports: Rcpp (>= 1.0.10), RcppArmadillo, RSpectra, parallel, doParallel, foreach, MASS, SuppDists, methods, generics, reshape2, ggpubr, viridisLite
LinkingTo: Rcpp, RcppArmadillo
Depends: R (>= 4.0.0), ggplot2
Suggests: testthat (>= 3.0.0), Rtsne, dplyr, knitr, rmarkdown
Encoding: UTF-8
URL: https://github.com/CristianCastiglione/sgdGMF
BugReports: https://github.com/CristianCastiglione/sgdGMF/issues
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-02-12 10:42:15 UTC; crist
Author: Cristian Castiglione [aut, cre] , Davide Risso [ctb] , Alexandre Segers [ctb]
Maintainer: Cristian Castiglione <cristian_castiglione@libero.it>
Repository: CRAN
Date/Publication: 2025-02-13 10:30:06 UTC

More information about sgdGMF at CRAN
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Package rqPen updated to version 4.1.3 with previous version 4.1.2 dated 2024-10-29

Title: Penalized Quantile Regression
Description: Performs penalized quantile regression with LASSO, elastic net, SCAD and MCP penalty functions including group penalties. In addition, offers a group penalty that provides consistent variable selection across quantiles. Provides a function that automatically generates lambdas and evaluates different models with cross validation or BIC, including a large p version of BIC. Below URL provides a link to a work in progress vignette.
Author: Ben Sherwood [aut, cre], Shaobo Li [aut], Adam Maidman [aut]
Maintainer: Ben Sherwood <ben.sherwood@ku.edu>

Diff between rqPen versions 4.1.2 dated 2024-10-29 and 4.1.3 dated 2025-02-13

 DESCRIPTION       |    8 -
 MD5               |   12 -
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Package jobqueue updated to version 1.3.0 with previous version 1.0.1 dated 2025-01-30

Title: Run Interruptible Code Asynchronously
Description: Takes an R expression and returns a Job object with a $stop() method which can be called to terminate the background job. Also provides timeouts and other mechanisms for automatically terminating a background job. The result of the expression is available synchronously via $result or asynchronously with callbacks or through the 'promises' package framework.
Author: Daniel P. Smith [aut, cre] , Alkek Center for Metagenomics and Microbiome Research [cph, fnd]
Maintainer: Daniel P. Smith <dansmith01@gmail.com>

Diff between jobqueue versions 1.0.1 dated 2025-01-30 and 1.3.0 dated 2025-02-13

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New package giniCI with initial version 0.1.0
Package: giniCI
Title: Gini-Based Composite Indicators
Version: 0.1.0
Maintainer: Viet Duong Nguyen <viet-duong.nguyen@outlook.com>
Description: An implementation of Gini-based weighting approaches in constructing composite indicators, providing functionalities for normalization, aggregation, and ranking comparison.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: DescTools (>= 0.99.57), ggplot2 (>= 3.5.1), ggrepel (>= 0.9.6), ggpubr (>= 0.6.0)
Suggests: R.rsp
VignetteBuilder: R.rsp
NeedsCompilation: no
Packaged: 2025-02-12 15:48:08 UTC; Duong Nguyen
Author: Viet Duong Nguyen [aut, cre] , Chiara Gigliarano [aut] , Mariateresa Ciommi [aut]
Repository: CRAN
Date/Publication: 2025-02-13 10:30:10 UTC

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New package evesim with initial version 1.0.0
Package: evesim
Title: Evolution Emulator: Species Diversification under an Evolutionary Relatedness Dependent Scenario
Version: 1.0.0
Description: Evolutionary relatedness dependent diversification simulation powered by the 'Rcpp' back-end 'SimTable'.
License: MIT + file LICENSE
Depends: R (>= 4.4.0)
Imports: Rcpp, RcppParallel
Encoding: UTF-8
SystemRequirements: C++17
LinkingTo: Rcpp (>= 1.0.11), RcppParallel
URL: http://qtj.me/evesim/
NeedsCompilation: yes
Packaged: 2025-02-12 14:08:36 UTC; tianj
Author: Tianjian Qin [aut, cre], Hanno Hildenbrandt [aut] , Luis Valente [aut, ths], Rampal Etienne [aut, ths]
Maintainer: Tianjian Qin <t.qin@rug.nl>
Repository: CRAN
Date/Publication: 2025-02-13 10:30:14 UTC

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New package BayesChange with initial version 1.1.0
Package: BayesChange
Title: Bayesian Methods for Change Points Analysis
Version: 1.1.0
Description: Perform change points detection on univariate and multivariate time series according to the methods presented by Asael Fabian Martínez and Ramsés H. Mena (2014) <doi:10.1214/14-BA878> and Corradin, Danese and Ongaro (2022) <doi:10.1016/j.ijar.2021.12.019>. It also clusters different types of time dependent data with common change points, see "Model-based clustering of time-dependent observations with common structural changes" (Corradin,Danese,KhudaBukhsh and Ongaro, 2024) <doi:10.48550/arXiv.2410.09552> for details.
License: GPL (>= 3)
Encoding: UTF-8
LinkingTo: Rcpp, RcppArmadillo, RcppGSL
Imports: Rcpp
Depends: R (>= 3.5.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/lucadanese/BayesChange
BugReports: https://github.com/lucadanese/BayesChange/issues
NeedsCompilation: yes
Packaged: 2025-02-12 09:49:13 UTC; LUCA
Author: Luca Danese [aut, cre, cph] , Riccardo Corradin [aut], Andrea Ongaro [aut]
Maintainer: Luca Danese <l.danese1@campus.unimib.it>
Repository: CRAN
Date/Publication: 2025-02-13 10:30:17 UTC

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New package ptetools with initial version 1.0.0
Package: ptetools
Title: Panel Treatment Effects Tools
Version: 1.0.0
URL: https://github.com/bcallaway11/ptetools
BugReports: https://github.com/bcallaway11/ptetools/issues
Description: Generic code for estimating treatment effects with panel data. The idea is to break into separate steps organizing the data, looping over groups and time periods, computing group-time average treatment effects, and aggregating group-time average treatment effects. Often, one is able to implement a new identification/estimation procedure by simply replacing the step on estimating group-time average treatment effects. See several different examples of this approach in the package documentation.
License: GPL-3
Encoding: UTF-8
Imports: BMisc (>= 1.4.7), Matrix, ggplot2, DRDID, tidyr, dplyr, pbapply, splines2
Suggests: testthat (>= 3.0.0), did
NeedsCompilation: no
Packaged: 2025-02-11 21:19:36 UTC; bmc43193
Author: Brantly Callaway [aut, cre]
Maintainer: Brantly Callaway <brantly.callaway@uga.edu>
Repository: CRAN
Date/Publication: 2025-02-13 10:00:01 UTC

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New package NLPwavelet with initial version 1.0
Package: NLPwavelet
Title: Bayesian Wavelet Analysis Using Non-Local Priors
Version: 1.0
Date: 2025-02-09
Description: Performs Bayesian wavelet analysis using individual non-local priors as described in Sanyal & Ferreira (2017) <DOI:10.1007/s13571-016-0129-3> and non-local prior mixtures as described in Sanyal (2025) <DOI:10.48550/arXiv.2501.18134>.
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.14), wavethresh
LinkingTo: Rcpp, RcppArmadillo
URL: https://nilotpalsanyal.github.io/NLPwavelet/
BugReports: https://github.com/nilotpalsanyal/NLPwavelet/issues
Repository: CRAN
NeedsCompilation: yes
Packaged: 2025-02-11 22:59:56 UTC; nsanyal
Author: Nilotpal Sanyal [aut, cre]
Maintainer: Nilotpal Sanyal <nsanyal@utep.edu>
Date/Publication: 2025-02-13 10:00:06 UTC

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New package VARcpDetectOnline with initial version 0.2.0
Package: VARcpDetectOnline
Title: Sequential Change Point Detection for High-Dimensional VAR Models
Version: 0.2.0
Description: Implements the algorithm introduced in Tian, Y., and Safikhani, A. (2024) <doi:10.5705/ss.202024.0182>, "Sequential Change Point Detection in High-dimensional Vector Auto-regressive Models". This package provides tools for detecting change points in the transition matrices of VAR models, effectively identifying shifts in temporal and cross-correlations within high-dimensional time series data.
Encoding: UTF-8
LazyData: true
Imports: MASS, corpcor, Matrix, glmnet, doParallel, stats
Suggests: ggplot2
License: GPL-2 | file LICENSE
URL: https://github.com/Helloworld9293/VARcpDetectOnline
BugReports: https://github.com/Helloworld9293/VARcpDetectOnline/issues
NeedsCompilation: no
Packaged: 2025-02-12 18:06:25 UTC; AAA
Author: Yuhan Tian [aut, cre], Abolfazl Safikhani [aut]
Maintainer: Yuhan Tian <yuhan.tian@ufl.edu>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-02-13 08:40:02 UTC

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New package FPDclustering with initial version 2.3.4
Package: FPDclustering
Title: PD-Clustering and Related Methods
Version: 2.3.4
Date: 2025-02-12
Maintainer: Cristina Tortora <grikris1@gmail.com>
Description: Probabilistic distance clustering (PD-clustering) is an iterative, distribution-free, probabilistic clustering method. PD-clustering assigns units to a cluster according to their probability of membership under the constraint that the product of the probability and the distance of each point to any cluster center is a constant. PD-clustering is a flexible method that can be used with elliptical clusters, outliers, or noisy data. PDQ is an extension of the algorithm for clusters of different sizes. GPDC and TPDC use a dissimilarity measure based on densities. Factor PD-clustering (FPDC) is a factor clustering method that involves a linear transformation of variables and a cluster optimizing the PD-clustering criterion. It works on high-dimensional data sets.
Depends: ThreeWay,mvtnorm,R (>= 4.1.0)
Imports: ExPosition, cluster,rootSolve, MASS, klaR, GGally, ggplot2, ggeasy
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2025-02-12 18:28:45 UTC; 011543324
Repository: CRAN
Date/Publication: 2025-02-13 08:40:06 UTC
Author: Cristina Tortora [aut, cre, cph], Noe Vidales [aut], Francesco Palumbo [aut], Tina Kalra [aut], Paul D. McNicholas [fnd]

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Package tidyquant updated to version 1.0.11 with previous version 1.0.10 dated 2025-01-08

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>

Diff between tidyquant versions 1.0.10 dated 2025-01-08 and 1.0.11 dated 2025-02-13

 DESCRIPTION                               |    6 +++---
 MD5                                       |    6 +++---
 NEWS.md                                   |    4 ++++
 tests/testthat/test-tq_get_stock_prices.R |    4 ++--
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Package NEONiso updated to version 0.7.2 with previous version 0.7.1 dated 2025-01-08

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 0.7.1 dated 2025-01-08 and 0.7.2 dated 2025-02-13

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 MD5                   |    6 +++---
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 4 files changed, 14 insertions(+), 8 deletions(-)

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Package hbamr updated to version 2.4.1 with previous version 2.4.0 dated 2025-01-26

Title: Hierarchical Bayesian Aldrich-McKelvey Scaling via 'Stan'
Description: Perform hierarchical Bayesian Aldrich-McKelvey scaling using Hamiltonian Monte Carlo via 'Stan'. Aldrich-McKelvey ('AM') scaling is a method for estimating the ideological positions of survey respondents and political actors on a common scale using positional survey data. The hierarchical versions of the Bayesian 'AM' model included in this package outperform other versions both in terms of yielding meaningful posterior distributions for respondent positions and in terms of recovering true respondent positions in simulations. The package contains functions for preparing data, fitting models, extracting estimates, plotting key results, and comparing models using cross-validation. The original version of the default model is described in Bølstad (2024) <doi:10.1017/pan.2023.18>.
Author: Joergen Boelstad [aut, cre]
Maintainer: Joergen Boelstad <jorgen.bolstad@stv.uio.no>

Diff between hbamr versions 2.4.0 dated 2025-01-26 and 2.4.1 dated 2025-02-13

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Package cli updated to version 3.6.4 with previous version 3.6.3 dated 2024-06-21

Title: Helpers for Developing Command Line Interfaces
Description: A suite of tools to build attractive command line interfaces ('CLIs'), from semantic elements: headings, lists, alerts, paragraphs, etc. Supports custom themes via a 'CSS'-like language. It also contains a number of lower level 'CLI' elements: rules, boxes, trees, and 'Unicode' symbols with 'ASCII' alternatives. It support ANSI colors and text styles as well.
Author: Gabor Csardi [aut, cre], Hadley Wickham [ctb], Kirill Mueller [ctb], Salim Brueggemann [ctb] , Posit Software, PBC [cph, fnd]
Maintainer: Gabor Csardi <gabor@posit.co>

Diff between cli versions 3.6.3 dated 2024-06-21 and 3.6.4 dated 2025-02-13

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 tests/testthat/test-hash.R                    |   19 +
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 tests/testthat/test-progress-handler-logger.R |    2 
 tests/testthat/test-progress-handler-say.R    |    2 
 tests/testthat/test-progress-handlers.R       |    4 
 tests/testthat/test-progress-types.R          |    6 
 tests/testthat/test-progress-utils.R          |    2 
 tests/testthat/test-progress-variables.R      |   58 ++---
 tests/testthat/test-rlang-errors.R            |   34 ---
 tests/testthat/test-spark.R                   |    4 
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 tools/get-rstudio-themes.R                    |    2 
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Package acepack updated to version 1.6.1 with previous version 1.5.2 dated 2025-01-27

Title: ACE and AVAS for Selecting Multiple Regression Transformations
Description: Two nonparametric methods for multiple regression transform selection are provided. The first, Alternating Conditional Expectations (ACE), is an algorithm to find the fixed point of maximal correlation, i.e. it finds a set of transformed response variables that maximizes R^2 using smoothing functions [see Breiman, L., and J.H. Friedman. 1985. "Estimating Optimal Transformations for Multiple Regression and Correlation". Journal of the American Statistical Association. 80:580-598. <doi:10.1080/01621459.1985.10478157>]. Also included is the Additivity Variance Stabilization (AVAS) method which works better than ACE when correlation is low [see Tibshirani, R. 1986. "Estimating Transformations for Regression via Additivity and Variance Stabilization". Journal of the American Statistical Association. 83:394-405. <doi:10.1080/01621459.1988.10478610>]. A good introduction to these two methods is in chapter 16 of Frank Harrell's "Regression Modeling Strategies" in the Springer Serie [...truncated...]
Author: Phil Spector [aut], Jerome Friedman [aut], Robert Tibshirani [aut], Thomas Lumley [aut], Shawn Garbett [cre, aut] , Jonathan Baron [aut], Bernhard Klar [aut], Scott Chasalow [aut]
Maintainer: Shawn Garbett <shawn.garbett@vumc.org>

Diff between acepack versions 1.5.2 dated 2025-01-27 and 1.6.1 dated 2025-02-13

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Package easyDifferentialGeneCoexpression (with last version 1.4) was removed from CRAN

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

2024-02-05 1.4

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Package casabourse (with last version 2.0.0) was removed from CRAN

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

2022-08-19 2.0.0
2022-03-15 1.3.0
2022-03-08 1.2.0
2022-02-18 1.1.0

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