Fri, 13 Dec 2024

Package shiny updated to version 1.10.0 with previous version 1.9.1 dated 2024-08-01

Title: Web Application Framework for R
Description: Makes it incredibly easy to build interactive web applications with R. Automatic "reactive" binding between inputs and outputs and extensive prebuilt widgets make it possible to build beautiful, responsive, and powerful applications with minimal effort.
Author: Winston Chang [aut, cre] , Joe Cheng [aut], JJ Allaire [aut], Carson Sievert [aut] , Barret Schloerke [aut] , Yihui Xie [aut], Jeff Allen [aut], Jonathan McPherson [aut], Alan Dipert [aut], Barbara Borges [aut], Posit Software, PBC [cph, fnd], jQuery [...truncated...]
Maintainer: Winston Chang <winston@posit.co>

Diff between shiny versions 1.9.1 dated 2024-08-01 and 1.10.0 dated 2024-12-13

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Package lpSolve updated to version 5.6.23 with previous version 5.6.22 dated 2024-11-08

Title: Interface to 'Lp_solve' v. 5.5 to Solve Linear/Integer Programs
Description: Lp_solve is freely available (under LGPL 2) software for solving linear, integer and mixed integer programs. In this implementation we supply a "wrapper" function in C and some R functions that solve general linear/integer problems, assignment problems, and transportation problems. This version calls lp_solve version 5.5.
Author: Gabor Csardi [cre], Michel Berkelaar [aut]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

Diff between lpSolve versions 5.6.22 dated 2024-11-08 and 5.6.23 dated 2024-12-13

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Package gsheet updated to version 0.4.6 with previous version 0.4.5 dated 2020-04-07

Title: Download Google Sheets Using Just the URL
Description: Simple package to download Google Sheets using just the sharing link. Spreadsheets can be downloaded as a data frame, or as plain text to parse manually. Google Sheets is the new name for Google Docs Spreadsheets <https://www.google.com/sheets/about>.
Author: Max Conway [aut, cre]
Maintainer: Max Conway <conway.max1@gmail.com>

Diff between gsheet versions 0.4.5 dated 2020-04-07 and 0.4.6 dated 2024-12-13

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Package joyn updated to version 0.2.4 with previous version 0.2.3 dated 2024-08-20

Title: Tool for Diagnosis of Tables Joins and Complementary Join Features
Description: Tool for diagnosing table joins. It combines the speed of `collapse` and `data.table`, the flexibility of `dplyr`, and the diagnosis and features of the `merge` command in `Stata`.
Author: R.Andres Castaneda [aut, cre], Zander Prinsloo [aut], Rossana Tatulli [aut]
Maintainer: R.Andres Castaneda <acastanedaa@worldbank.org>

Diff between joyn versions 0.2.3 dated 2024-08-20 and 0.2.4 dated 2024-12-13

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Package COMMA updated to version 1.1.1 with previous version 1.1.0 dated 2024-10-30

Title: Correcting Misclassified Mediation Analysis
Description: Use three methods to estimate parameters from a mediation analysis with a binary misclassified mediator. These methods correct for the problem of "label switching" using Youden's J criteria. A detailed description of the analysis methods is available in Webb and Wells (2024), "Effect estimation in the presence of a misclassified binary mediator" <doi:10.48550/arXiv.2407.06970>.
Author: Kimberly Webb [aut, cre]
Maintainer: Kimberly Webb <kah343@cornell.edu>

Diff between COMMA versions 1.1.0 dated 2024-10-30 and 1.1.1 dated 2024-12-13

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Package surveydown updated to version 0.7.2 with previous version 0.5.1 dated 2024-11-27

Title: Markdown-Based Surveys Using 'Quarto' and 'shiny'
Description: Generate surveys using markdown and R code chunks. Surveys are composed of two files: a survey.qmd 'Quarto' file defining the survey content (pages, questions, etc), and an app.R file defining a 'shiny' app with global settings (libraries, database configuration, etc.) and server configuration options (e.g., conditional skipping / display, etc.). Survey data collected from respondents is stored in a 'PostgreSQL' database. Features include controls for conditional skip logic (skip to a page based on an answer to a question), conditional display logic (display a question based on an answer to a question), a customizable progress bar, and a wide variety of question types, including multiple choice (single choice and multiple choices), select, text, numeric, multiple choice buttons, text area, and dates. Because the surveys render into a 'shiny' app, designers can also leverage the reactive capabilities of 'shiny' to create dynamic and interactive surveys.
Author: John Paul Helveston [aut, cre, cph] , Pingfan Hu [aut, cph] , Bogdan Bunea [aut, cph] , Stefan Munnes [ctb]
Maintainer: John Paul Helveston <john.helveston@gmail.com>

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Package loa updated to version 0.3.0.1 with previous version 0.2.49.4 dated 2024-10-26

Title: Lattice Options and Add-Ins
Description: Various plots and functions that make use of the lattice/trellis plotting framework. The plots, which include loaPlot(), loaMapPlot() and trianglePlot(), and use panelPal(), a function that extends 'lattice' and 'hexbin' package methods to automate plot subscript and panel-to-panel and panel-to-key synchronization/management.
Author: Karl Ropkins [aut, cre]
Maintainer: Karl Ropkins <karl.ropkins@gmail.com>

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Package BGGM updated to version 2.1.4 with previous version 2.1.3 dated 2024-07-05

Title: Bayesian Gaussian Graphical Models
Description: Fit Bayesian Gaussian graphical models. The methods are separated into two Bayesian approaches for inference: hypothesis testing and estimation. There are extensions for confirmatory hypothesis testing, comparing Gaussian graphical models, and node wise predictability. These methods were recently introduced in the Gaussian graphical model literature, including Williams (2019) <doi:10.31234/osf.io/x8dpr>, Williams and Mulder (2019) <doi:10.31234/osf.io/ypxd8>, Williams, Rast, Pericchi, and Mulder (2019) <doi:10.31234/osf.io/yt386>.
Author: Donald Williams [aut], Joris Mulder [aut], Philippe Rast [aut, cre]
Maintainer: Philippe Rast <rast.ph@gmail.com>

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Package prodigenr updated to version 0.7.0 with previous version 0.6.2 dated 2022-08-29

Title: Research Project Directory Generator
Description: Create a project directory structure, along with typical files for that project. This allows projects to be quickly and easily created, as well as for them to be standardized. Designed specifically with scientists in mind (mainly bio-medical researchers, but likely applies to other fields).
Author: Luke Johnston [aut, cre]
Maintainer: Luke Johnston <lwjohnst@gmail.com>

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Package texor updated to version 1.5.3 with previous version 1.5.0 dated 2024-10-15

Title: Converting 'LaTeX' 'R Journal' Articles into 'RJ-web-articles'
Description: Articles in the 'R Journal' were first authored in 'LaTeX', which performs admirably for 'PDF' files but is less than ideal for modern online interfaces. The 'texor' package does all the transitional chores and conversions necessary to move to the online versions.
Author: Abhishek Ulayil [aut, cre, cph] , Heather Turner [ctb] , Christophe Dervieux [ctb] , Mitchell O'Hara-Wild [ctb] , Dianne Cook [ctb] , Yinxiang Huang [ctb]
Maintainer: Abhishek Ulayil <perricoq@outlook.com>

Diff between texor versions 1.5.0 dated 2024-10-15 and 1.5.3 dated 2024-12-13

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Package fuzzySim updated to version 4.29 with previous version 4.26 dated 2024-10-30

Title: Fuzzy Similarity in Species Distributions
Description: Functions to compute fuzzy versions of species occurrence patterns based on presence-absence data (including inverse distance interpolation, trend surface analysis, and prevalence-independent favourability obtained from probability of presence), as well as pair-wise fuzzy similarity (based on fuzzy logic versions of commonly used similarity indices) among those occurrence patterns. Includes also functions for model consensus and comparison (overlap and fuzzy similarity, fuzzy loss, fuzzy gain), and for data preparation, such as obtaining unique abbreviations of species names, defining the background region, cleaning and gridding (thinning) point occurrence data onto raster maps, selecting among (pseudo)absences to address survey bias, converting species lists (long format) to presence-absence tables (wide format), transposing part of a data frame, selecting relevant variables for models, assessing the false discovery rate, or analysing and dealing with multicollinearity. Initially desc [...truncated...]
Author: A. Marcia Barbosa [aut], Alba Estrada [ctb], Paul Melloy [ctb], Jose Carlos Guerrero [fnd], A. Marcia Barbosa [cre]
Maintainer: A. Marcia Barbosa <ana.marcia.barbosa@gmail.com>

Diff between fuzzySim versions 4.26 dated 2024-10-30 and 4.29 dated 2024-12-13

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New package WARDEN with initial version 0.99.1
Package: WARDEN
Title: Workflows for Health Technology Assessments in R using Discrete EveNts
Version: 0.99.1
Description: Toolkit to support and perform discrete event simulations without resource constraints in the context of health technology assessments (HTA). The package focuses on cost-effectiveness modelling and aims to be submission-ready to relevant HTA bodies in alignment with 'NICE TSD 15' <https://www.sheffield.ac.uk/nice-dsu/tsds/patient-level-simulation>. More details an examples can be found in the package website <https://jsanchezalv.github.io/WARDEN/>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Suggests: dplyr, ggplot2, knitr, rmarkdown, kableExtra, DiagrammeR, testthat (>= 3.0.0), survminer, survival
Imports: purrr, data.table, foreach, future, doFuture, stats, utils, flexsurv, MASS, zoo, progressr, magrittr, tidyr
VignetteBuilder: knitr
Depends: R (>= 2.10)
URL: https://jsanchezalv.github.io/WARDEN/
NeedsCompilation: no
Packaged: 2024-12-12 15:05:06 UTC; Javier
Author: Javier Sanchez Alvarez [aut, cre], Gabriel Lemyre [ctb], Valerie Aponte Ribero [ctb]
Maintainer: Javier Sanchez Alvarez <javiersanchezeco@gmail.com>
Repository: CRAN
Date/Publication: 2024-12-13 16:40:13 UTC

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Package LaF updated to version 0.8.6 with previous version 0.8.4 dated 2020-03-23

Title: Fast Access to Large ASCII Files
Description: Methods for fast access to large ASCII files. Currently the following file formats are supported: comma separated format (CSV) and fixed width format. It is assumed that the files are too large to fit into memory, although the package can also be used to efficiently access files that do fit into memory. Methods are provided to access and process files blockwise. Furthermore, an opened file can be accessed as one would an ordinary data.frame. The LaF vignette gives an overview of the functionality provided.
Author: Jan van der Laan [aut, cre]
Maintainer: Jan van der Laan <r@eoos.dds.nl>

Diff between LaF versions 0.8.4 dated 2020-03-23 and 0.8.6 dated 2024-12-13

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Package ggpattern updated to version 1.1.3 with previous version 1.1.1 dated 2024-06-04

Title: 'ggplot2' Pattern Geoms
Description: Provides 'ggplot2' geoms filled with various patterns. Includes a patterned version of every 'ggplot2' geom that has a region that can be filled with a pattern. Provides a suite of 'ggplot2' aesthetics and scales for controlling pattern appearances. Supports over a dozen builtin patterns (every pattern implemented by 'gridpattern') as well as allowing custom user-defined patterns.
Author: Mike FC [aut], Trevor L. Davis [aut, cre] , ggplot2 authors [aut]
Maintainer: Trevor L. Davis <trevor.l.davis@gmail.com>

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New package GHCNr with initial version 0.8.0
Package: GHCNr
Title: Download Weather Station Data from GHCN
Version: 0.8.0
Description: The goal of 'GHCNr' is to provide a fast and friendly interface with the Global Historical Climatology Network daily (GHCNd) database, which contains daily summaries of weather station data worldwide (<https://www.ncei.noaa.gov/products/land-based-station/global-historical-climatology-network-daily>). GHCNd is accessed through the web API <https://www.ncei.noaa.gov/access/services/data/v1>. 'GHCNr' main functionalities consist of downloading data from GHCNd, filter it, and to aggregate it at monthly and annual scales.
License: MIT + file LICENSE
Imports: tibble, dplyr, tidyr, readr, tidyselect, httr2, terra, utils, rlang
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-12-12 12:23:38 UTC; squirry
Author: Emilio Berti [aut, cre]
Maintainer: Emilio Berti <emilio.berti@idiv.de>
Repository: CRAN
Date/Publication: 2024-12-13 16:40:17 UTC

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New package dscoreMSM with initial version 0.1.0
Package: dscoreMSM
Title: Survival Proximity Score Matching in Multi-State Survival Model
Version: 0.1.0
Maintainer: Atanu Bhattacharjee <atanustat@gmail.com>
Imports: rjags, stats, timeROC, ggplot2, survival, mstate
Description: Implements survival proximity score matching in multi-state survival models. Includes tools for simulating survival data and estimating transition-specific coxph models with frailty terms. The primary methodological work on multistate censored data modeling using propensity score matching has been published by Bhattacharjee et al.(2024) <doi:10.1038/s41598-024-54149-y>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-12-12 16:29:27 UTC; atanubhattacharjee
Author: Atanu Bhattacharjee [aut, cre, ctb], Bhrigu Kumar Rajbongshi [aut, ctb], Gajendra K Vishwakarma [aut, ctb]
Repository: CRAN
Date/Publication: 2024-12-13 16:40:02 UTC

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New package datastat with initial version 0.1.0
Package: datastat
Title: Dataset for Statistical Analysis
Version: 0.1.0
Language: en-US
Maintainer: Atchanut Rattanalertnusorn <atchanut_r@rmutt.ac.th>
Description: Data are essential in statistical analysis. This data package consists of four datasets for descriptive statistics, two datasets for statistical hypothesis testing, and two datasets for regression analysis. All of the datasets are based on Rattanalertnusorn, A. (2024) <https://www.researchgate.net/publication/371944275_porkaermxarlaeakarprayuktchingan_R_and_its_applications>.
License: CC0
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-12-12 11:39:10 UTC; User
Author: Atchanut Rattanalertnusorn [aut, cre]
Repository: CRAN
Date/Publication: 2024-12-13 16:40:05 UTC

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New package bridgr with initial version 0.1.1
Package: bridgr
Title: Bridging Data Frequencies for Timely Economic Forecasts
Version: 0.1.1
Maintainer: Marc Burri <marc.burri91@gmail.com>
Description: Implements bridge models for nowcasting and forecasting macroeconomic variables by linking high-frequency indicator variables (e.g., monthly data) to low-frequency target variables (e.g., quarterly GDP). Simplifies forecasting and aggregating indicator variables to match the target frequency, enabling timely predictions ahead of official data releases. For more on bridge models, see Baffigi, A., Golinelli, R., & Parigi, G. (2004) <doi:10.1016/S0169-2070(03)00067-0>, Burri (2023) <https://www5.unine.ch/RePEc/ftp/irn/pdfs/WP23-02.pdf> or Schumacher (2016) <doi:10.1016/j.ijforecast.2015.07.004>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: magrittr, dplyr, rlang, generics, tsbox, lubridate, forecast
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 3.5)
URL: https://github.com/marcburri/bridgr, https://marcburri.github.io/bridgr/
BugReports: https://github.com/marcburri/bridgr/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-12-12 16:16:47 UTC; marcburri
Author: Marc Burri [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-12-13 16:40:09 UTC

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Package libr updated to version 1.3.8 with previous version 1.3.7 dated 2024-11-06

Title: Libraries, Data Dictionaries, and a Data Step for R
Description: Contains a set of functions to create data libraries, generate data dictionaries, and simulate a data step. The libname() function will load a directory of data into a library in one line of code. The dictionary() function will generate data dictionaries for individual data frames or an entire library. And the datestep() function will perform row-by-row data processing.
Author: David Bosak [aut, cre], Brian Varney [ctb], Archytas Clinical Solutions [cph]
Maintainer: David Bosak <dbosak01@gmail.com>

Diff between libr versions 1.3.7 dated 2024-11-06 and 1.3.8 dated 2024-12-13

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Package tssim updated to version 0.2.7 with previous version 0.1.7 dated 2021-06-25

Title: Simulation of Daily and Monthly Time Series
Description: Flexible simulation of time series using time series components, including seasonal, calendar and outlier effects. Main algorithm described in Ollech, D. (2021) <doi:10.1515/jtse-2020-0028>.
Author: Daniel Ollech [aut, cre]
Maintainer: Daniel Ollech <daniel.ollech@bundesbank.de>

Diff between tssim versions 0.1.7 dated 2021-06-25 and 0.2.7 dated 2024-12-13

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Package lares updated to version 5.2.10 with previous version 5.2.9 dated 2024-09-12

Title: Analytics & Machine Learning Sidekick
Description: Auxiliary package for better/faster analytics, visualization, data mining, and machine learning tasks. With a wide variety of family functions, like Machine Learning, Data Wrangling, Marketing Mix Modeling (Robyn), Exploratory, API, and Scrapper, it helps the analyst or data scientist to get quick and robust results, without the need of repetitive coding or advanced R programming skills.
Author: Bernardo Lares [aut, cre]
Maintainer: Bernardo Lares <laresbernardo@gmail.com>

Diff between lares versions 5.2.9 dated 2024-09-12 and 5.2.10 dated 2024-12-13

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Package MetricGraph updated to version 1.4.0 with previous version 1.3.0 dated 2024-02-27

Title: Random Fields on Metric Graphs
Description: Facilitates creation and manipulation of metric graphs, such as street or river networks. Further facilitates operations and visualizations of data on metric graphs, and the creation of a large class of random fields and stochastic partial differential equations on such spaces. These random fields can be used for simulation, prediction and inference. In particular, linear mixed effects models including random field components can be fitted to data based on computationally efficient sparse matrix representations. Interfaces to the R packages 'INLA' and 'inlabru' are also provided, which facilitate working with Bayesian statistical models on metric graphs. The main references for the methods are Bolin, Simas and Wallin (2024) <doi:10.3150/23-BEJ1647>, Bolin, Kovacs, Kumar and Simas (2023) <doi:10.1090/mcom/3929> and Bolin, Simas and Wallin (2023) <doi:10.48550/arXiv.2304.03190> and <doi:10.48550/arXiv.2304.10372>.
Author: David Bolin [cre, aut], Alexandre Simas [aut], Jonas Wallin [aut]
Maintainer: David Bolin <davidbolin@gmail.com>

Diff between MetricGraph versions 1.3.0 dated 2024-02-27 and 1.4.0 dated 2024-12-13

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Package sisireg updated to version 1.1.2 with previous version 1.1.1 dated 2023-09-20

Title: Sign-Simplicity-Regression-Solver
Description: Implementation of the SSR-Algorithm. The Sign-Simplicity-Regression model is a nonparametric statistical model which is based on residual signs and simplicity assumptions on the regression function. Goal is to calculate the most parsimonious regression function satisfying the statistical adequacy requirements. Theory and functions are specified in Metzner (2020, ISBN: 979-8-68239-420-3, "Trendbasierte Prognostik") and Metzner (2021, ISBN: 979-8-59347-027-0, "Adäquates Maschinelles Lernen").
Author: Lars Metzner [aut, cre]
Maintainer: Lars Metzner <lars.metzner@ppi.de>

Diff between sisireg versions 1.1.1 dated 2023-09-20 and 1.1.2 dated 2024-12-13

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New package spphpr with initial version 0.1.4
Package: spphpr
Title: Spring Phenological Prediction
Version: 0.1.4
Date: 2024-12-12
Author: Peijian Shi [aut, cre], Zhenghong Chen [aut], Brady K. Quinn [aut]
Maintainer: Peijian Shi <pjshi@njfu.edu.cn>
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.
Depends: R (>= 4.2.0)
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2024-12-12 07:14:19 UTC; PEIJIAN SHI
Repository: CRAN
Date/Publication: 2024-12-13 09:10:02 UTC

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New package mintyr with initial version 0.1.0
Package: mintyr
Title: Streamlined Data Processing Tools for Genomic Selection
Version: 0.1.0
Description: A toolkit for genomic selection in animal breeding with emphasis on multi-breed and multi-trait nested grouping operations. Streamlines iterative analysis workflows when working with 'ASReml-R' package. Includes utility functions for phenotypic data processing commonly used by animal breeders.
License: MIT + file LICENSE
URL: https://tony2015116.github.io/mintyr/
BugReports: https://github.com/tony2015116/mintyr/issues
Depends: R (>= 3.5.0)
Imports: arrow, data.table, dplyr, parallel, purrr, readxl, rlang, rsample, rstatix, stats, tibble, utils
Suggests: knitr, rmarkdown, testthat, tidyr, tools
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2024-12-12 01:59:42 UTC; Dell
Author: Guo Meng [aut, cre], Guo Meng [cph]
Maintainer: Guo Meng <tony2015116@163.com>
Repository: CRAN
Date/Publication: 2024-12-13 09:10:06 UTC

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New package DBCVindex with initial version 1.1
Encoding: UTF-8
Package: DBCVindex
Title: Calculates the Density-Based Clustering Validation Index (DBCV) Index
Version: 1.1
Description: A metric called 'Density-Based Clustering Validation index' (DBCV) index to evaluate clustering results, following the <https://github.com/FelSiq/DBCV> 'Python' implementation by Felipe Alves Siqueira. Original 'DBCV' index article: Moulavi, D., Jaskowiak, P. A., Campello, R. J., Zimek, A., & Sander, J. (2014, April). "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
Imports: pacman, Matrix, stats
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-12-12 11:03:55 UTC; davide
Author: Davide Chicco [aut, cre]
Maintainer: Davide Chicco <davidechicco@davidechicco.it>
Repository: CRAN
Date/Publication: 2024-12-13 09:30:02 UTC

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New package cercospoRa with initial version 0.0.1
Package: cercospoRa
Title: Process Based Epidemiological Model for Cercospora Leaf Spot of Sugar Beet
Version: 0.0.1
Description: Estimates sugar beet canopy closure with remotely sensed leaf area index and estimates when action might be needed to protect the crop from a Leaf Spot epidemic with a negative prognosis model based on published models.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), remotes, stats, spelling
Imports: data.table, lubridate, sf, terra, minpack.lm, circular
VignetteBuilder: knitr
Depends: R (>= 4.0.0)
LazyData: true
URL: https://paul.melloy.com.au/cercospoRa/, https://github.com/PaulMelloy/cercospoRa, http://paul.melloy.com.au/cercospoRa/
BugReports: https://github.com/PaulMelloy/cercospoRa/issues
NeedsCompilation: no
Packaged: 2024-12-12 10:11:12 UTC; paul
Author: Paul Melloy [aut, cre, trl, cph] , Rene Heim [aut, cph] , Nathan Okole [aut, ctb, cph] , Facundo Ramon Ispizua Yamati [dtc, ctb] , Anne-Katrin Mahlein [ctb, cph]
Maintainer: Paul Melloy <paul@melloy.com.au>
Repository: CRAN
Date/Publication: 2024-12-13 09:20:02 UTC

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Package MRG (with last version 0.3.1) was removed from CRAN

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

2024-10-28 0.3.1
2024-09-12 0.2.14

Permanent link
New package ideanet with initial version 1.0.0
Package: ideanet
Title: Integrating Data Exchange and Analysis for Networks ('ideanet')
Version: 1.0.0
Date: 2024-12-06
Description: A suite of convenient tools for social network analysis geared toward students, entry-level users, and non-expert practitioners. ‘ideanet’ features unique functions for the processing and measurement of sociocentric and egocentric network data. These functions automatically generate node- and system-level measures commonly used in the analysis of these types of networks. Outputs from these functions maximize the ability of novice users to employ network measurements in further analyses while making all users less prone to common data analytic errors. Additionally, ‘ideanet’ features an R Shiny graphic user interface that allows novices to explore network data with minimal need for coding.
Maintainer: Tom Wolff <tom.wolff@northwestern.edu>
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: CliquePercolation, cluster, colorspace, concorR, cowplot, data.table, dplyr, forcats, ggplot2, grDevices, gridGraphics, igraph, intergraph, jsonlite, linkcomm, magrittr, Matrix, methods, moments, network, readxl, rlang, RSpectra, shiny, sna, stringr, tibble, tidyr, tidyselect
Suggests: DT, devtools, egor, ergm, shinythemes, shinyWidgets, knitr, rmarkdown, shinycssloaders, visNetwork
Depends: R (>= 3.5.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-12-11 18:25:01 UTC; wms1212
Author: Tom Wolff [aut, cre] , Jonathan Howard Morgan [aut] , Gabriel Varela [aut] , Kieran Lele [aut], Ethan Bhojani [aut], Emily Heraty [aut], Dana Pasquale [aut] , Peter Mucha [aut] , James Moody [aut]
Repository: CRAN
Date/Publication: 2024-12-13 09:00:02 UTC

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Package mixedbiastest updated to version 0.3.0 with previous version 0.2.1 dated 2024-12-05

Title: Bias Diagnostic for Linear Mixed Models
Description: Provides a function to perform bias diagnostics on linear mixed models fitted with lmer() from the 'lme4' package. Implements permutation tests for assessing the bias of fixed effects, as described in Karl and Zimmerman (2021) <doi:10.1016/j.jspi.2020.06.004>. Karl and Zimmerman (2020) <doi:10.17632/tmynggddfm.1> provide R code for implementing the test using 'mvglmmRank' output. Development of this package was assisted by 'GPT o1-preview' for code structure and documentation.
Author: Andrew T. Karl [cre, aut]
Maintainer: Andrew T. Karl <akarl@asu.edu>

Diff between mixedbiastest versions 0.2.1 dated 2024-12-05 and 0.3.0 dated 2024-12-13

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Package cpp11armadillo updated to version 0.4.0 with previous version 0.3.3 dated 2024-09-02

Title: An 'Armadillo' Interface
Description: Provides function declarations and inline function definitions that facilitate communication between R and the 'Armadillo' 'C++' library for linear algebra and scientific computing. This implementation is detailed in Vargas Sepulveda and Schneider Malamud (2024) <doi:10.48550/arXiv.2408.11074>.
Author: Mauricio Vargas Sepulveda [aut, cre] , Jonathan Schneider Malamud [ctb], Conrad Sanderson [aut] )
Maintainer: Mauricio Vargas Sepulveda <m.sepulveda@mail.utoronto.ca>

Diff between cpp11armadillo versions 0.3.3 dated 2024-09-02 and 0.4.0 dated 2024-12-13

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 cpp11armadillo-0.4.0/cpp11armadillo/NEWS.md                                            |   18 
 cpp11armadillo-0.4.0/cpp11armadillo/R/version.R                                        |    2 
 cpp11armadillo-0.4.0/cpp11armadillo/README.md                                          |   34 
 cpp11armadillo-0.4.0/cpp11armadillo/build/vignette.rds                                 |binary
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 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo.hpp                         |    2 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/Base_bones.hpp              |   12 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/Col_bones.hpp               |    2 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/Col_meat.hpp                |    6 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/CubeToMatOp_bones.hpp       |    5 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/Cube_bones.hpp              |   15 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/Cube_meat.hpp               |   38 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/Gen_bones.hpp               |    5 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/Glue_bones.hpp              |    3 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/Glue_meat.hpp               |    8 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/MapMat_meat.hpp             |   65 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/Mat_bones.hpp               |   18 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/Mat_meat.hpp                |   14 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/Op_bones.hpp                |    3 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/Op_meat.hpp                 |    8 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/Proxy.hpp                   |   16 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/Row_bones.hpp               |    2 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/Row_meat.hpp                |    6 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/SpBase_bones.hpp            |   12 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/SpMat_meat.hpp              |   25 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/SpToDGlue_bones.hpp         |    5 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/SpToDOp_bones.hpp           |    5 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/arma_forward.hpp            |    3 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/arma_rng.hpp                |   56 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/arma_rng_cxx03.hpp          |    4 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/arma_version.hpp            |    4 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/auxlib_bones.hpp            |   46 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/auxlib_meat.hpp             |  896 +++++++++-
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/compiler_check.hpp          |    8 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/compiler_setup.hpp          |    9 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/config.hpp                  |   33 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/config.hpp.cmake            |   25 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/debug.hpp                   |   20 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/def_lapack.hpp              |  198 ++
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/diagview_bones.hpp          |    3 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/diagview_meat.hpp           |   48 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/eGlue_bones.hpp             |    3 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/eGlue_meat.hpp              |    6 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/eOp_bones.hpp               |    3 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/eOp_meat.hpp                |    8 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/fft_engine_fftw3.hpp        |   44 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/fn_accu.hpp                 |    8 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/fn_misc.hpp                 |   57 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/fn_powext.hpp               |   25 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/glue_solve_bones.hpp        |    5 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/glue_solve_meat.hpp         |  124 +
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/glue_times_meat.hpp         |   29 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/gmm_diag_meat.hpp           |    4 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/gmm_full_meat.hpp           |    4 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/memory.hpp                  |   52 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/mp_misc.hpp                 |    8 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/mtGlue_bones.hpp            |    3 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/mtGlue_meat.hpp             |    8 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/mtOp_bones.hpp              |    3 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/mtOp_meat.hpp               |    8 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/mul_gemv.hpp                |    4 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/mul_herk.hpp                |    4 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/mul_syrk.hpp                |    4 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/op_cond_meat.hpp            |   12 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/op_dot_meat.hpp             |   12 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/op_expmat_meat.hpp          |   18 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/op_inv_gen_meat.hpp         |   64 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/op_inv_spd_meat.hpp         |    8 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/op_log_det_meat.hpp         |    2 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/op_logmat_meat.hpp          |    6 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/op_max_meat.hpp             |   44 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/op_min_meat.hpp             |   44 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/op_norm_meat.hpp            |    8 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/op_pinv_meat.hpp            |    9 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/op_powmat_meat.hpp          |   42 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/op_rank_meat.hpp            |    9 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/op_rcond_meat.hpp           |   30 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/op_sqrtmat_meat.hpp         |    6 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/operator_minus.hpp          |   56 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/operator_plus.hpp           |   56 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/sp_auxlib_meat.hpp          |   12 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/subview_bones.hpp           |    7 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/subview_cube_each_bones.hpp |    2 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/subview_each_bones.hpp      |    2 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/subview_each_meat.hpp       |    4 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/subview_elem1_bones.hpp     |    3 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/subview_elem1_meat.hpp      |   56 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/subview_elem2_bones.hpp     |    3 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/subview_elem2_meat.hpp      |    9 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/subview_meat.hpp            |    8 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/sym_helper.hpp              |  189 +-
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/traits.hpp                  |   10 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/translate_lapack.hpp        |  208 ++
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/typedef_elem.hpp            |    5 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/armadillo/unwrap.hpp                  |   21 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/cpp11armadillo.hpp                    |  108 +
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/r_messages.hpp                        |only
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/wrappers/matrices.hpp                 |   13 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/wrappers/sparse_matrices.hpp          |   34 
 cpp11armadillo-0.4.0/cpp11armadillo/inst/include/wrappers/vectors.hpp                  |   40 
 cpp11armadillo-0.4.0/cpp11armadillo/man/figures/logo.svg                               |  851 +++------
 cpp11armadillo-0.4.0/cpp11armadillo/tests/testthat/test-version.R                      |    2 
 cpp11armadillo-0.4.0/cpp11armadillo/vignettes/usage.Rmd                                |   55 
 114 files changed, 2890 insertions(+), 1660 deletions(-)

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