Wed, 25 Sep 2024

Package scitb updated to version 0.2.1 with previous version 0.2.0 dated 2024-09-18

Title: Provides Some Useful Functions for Making Statistical Tables
Description: You can use the functions provided by the package to make various statistical tables, such as baseline data tables. Creates 'Table 1', i.e., a description of the baseline patient characteristics, which is essential in every medical research. Supports both continuous and categorical variables, as well as p-values and standardized mean differences. This method was described by Mary L McHugh (2013) <doi:10.11613/bm.2013.018>.
Author: Qiang Liu [aut, cre]
Maintainer: Qiang Liu <dege857@163.com>

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Package metaSEM updated to version 1.5.0 with previous version 1.4.0 dated 2024-05-16

Title: Meta-Analysis using Structural Equation Modeling
Description: A collection of functions for conducting meta-analysis using a structural equation modeling (SEM) approach via the 'OpenMx' and 'lavaan' packages. It also implements various procedures to perform meta-analytic structural equation modeling on the correlation and covariance matrices, see Cheung (2015) <doi:10.3389/fpsyg.2014.01521>.
Author: Mike Cheung [aut, cre]
Maintainer: Mike Cheung <mikewlcheung@nus.edu.sg>

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Package polyapost updated to version 1.7-1 with previous version 1.7 dated 2021-10-07

Title: Simulating from the Polya Posterior
Description: Simulate via Markov chain Monte Carlo (hit-and-run algorithm) a Dirichlet distribution conditioned to satisfy a finite set of linear equality and inequality constraints (hence to lie in a convex polytope that is a subset of the unit simplex).
Author: Glen Meeden [aut, cre], Radu Lazar [aut], Charles J. Geyer [aut]
Maintainer: Glen Meeden <gmeeden@umn.edu>

Diff between polyapost versions 1.7 dated 2021-10-07 and 1.7-1 dated 2024-09-25

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Package pcaone updated to version 1.1.0 with previous version 1.0.0 dated 2022-10-29

Title: Fast and Accurate Randomized Singular Value Decomposition Algorithms with 'PCAone'
Description: Fast and Accurate Randomized Singular Value Decomposition (RSVD) methods proposed in the 'PCAone' paper by Li (2023) <https://genome.cshlp.org/content/33/9/1599>.
Author: Zilong Li [aut, cre]
Maintainer: Zilong Li <zilong.dk@gmail.com>

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Package ocf updated to version 1.0.1 with previous version 1.0.0 dated 2023-09-14

Title: Ordered Correlation Forest
Description: Machine learning estimator specifically optimized for predictive modeling of ordered non-numeric outcomes. 'ocf' provides forest-based estimation of the conditional choice probabilities and the covariates’ marginal effects. Under an "honesty" condition, the estimates are consistent and asymptotically normal and standard errors can be obtained by leveraging the weight-based representation of the random forest predictions. Please reference the use as Di Francesco (2023) <doi:10.48550/arXiv.2309.08755>.
Author: Riccardo Di Francesco [aut, cre, cph]
Maintainer: Riccardo Di Francesco <difrancesco.riccardo96@gmail.com>

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New package leidenbase with initial version 0.1.31
Package: leidenbase
Title: R and C/C++ Wrappers to Run the Leiden find_partition() Function
Version: 0.1.31
Description: An R to C/C++ interface that runs the Leiden community detection algorithm to find a basic partition (). It runs the equivalent of the 'leidenalg' find_partition() function, which is given in the 'leidenalg' distribution file 'leiden/src/functions.py'. This package includes the required source code files from the official 'leidenalg' distribution and functions from the R 'igraph' package. The 'leidenalg' distribution is available from <https://github.com/vtraag/leidenalg/> and the R 'igraph' package is available from <https://igraph.org/r/>. The Leiden algorithm is described in the article by Traag et al. (2019) <doi:10.1038/s41598-019-41695-z>. Leidenbase includes code from the packages: igraph version 0.9.8 with license GPL (>= 2), leidenalg version 0.8.10 with license GPL 3.
Imports: igraph (>= 0.9.0)
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Suggests: rmarkdown, knitr, testthat (>= 3.1.0), pandoc
URL: https://github.com/cole-trapnell-lab/leidenbase
BugReports: https://github.com/cole-trapnell-lab/leidenbase/issues
NeedsCompilation: yes
Maintainer: Brent Ewing <bge@uw.edu>
VignetteBuilder: knitr
Packaged: 2024-09-25 22:26:03 UTC; brent
Author: Brent Ewing [aut, cre], Vincent Traag [ctb], Gabor Csardi [ctb], Tamas Nepusz [ctb], Szabolcs Horvat [ctb], Fabio Zanini [ctb]
Repository: CRAN
Date/Publication: 2024-09-25 23:10:02 UTC

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Package feasts updated to version 0.4.1 with previous version 0.4.0 dated 2024-09-17

Title: Feature Extraction and Statistics for Time Series
Description: Provides a collection of features, decomposition methods, statistical summaries and graphics functions for the analysing tidy time series data. The package name 'feasts' is an acronym comprising of its key features: Feature Extraction And Statistics for Time Series.
Author: Mitchell O'Hara-Wild [aut, cre], Rob Hyndman [aut], Earo Wang [aut], Di Cook [ctb], Thiyanga Talagala [ctb] , Leanne Chhay [ctb]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

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Package dttr2 updated to version 0.5.2 with previous version 0.5.1 dated 2024-09-13

Title: Manipulate Date, POSIXct and hms Vectors
Description: Manipulates date ('Date'), date time ('POSIXct') and time ('hms') vectors. Date/times are considered discrete and are floored whenever encountered. Times are wrapped and time zones are maintained unless explicitly altered by the user.
Author: Joe Thorley [aut] , Ayla Pearson [aut, cre] , Poisson Consulting [cph, fnd]
Maintainer: Ayla Pearson <ayla@poissonconsulting.ca>

Diff between dttr2 versions 0.5.1 dated 2024-09-13 and 0.5.2 dated 2024-09-25

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Package DescTools updated to version 0.99.57 with previous version 0.99.56 dated 2024-08-22

Title: Tools for Descriptive Statistics
Description: A collection of miscellaneous basic statistic functions and convenience wrappers for efficiently describing data. The author's intention was to create a toolbox, which facilitates the (notoriously time consuming) first descriptive tasks in data analysis, consisting of calculating descriptive statistics, drawing graphical summaries and reporting the results. The package contains furthermore functions to produce documents using MS Word (or PowerPoint) and functions to import data from Excel. Many of the included functions can be found scattered in other packages and other sources written partly by Titans of R. The reason for collecting them here, was primarily to have them consolidated in ONE instead of dozens of packages (which themselves might depend on other packages which are not needed at all), and to provide a common and consistent interface as far as function and arguments naming, NA handling, recycling rules etc. are concerned. Google style guides were used as naming rules (in ab [...truncated...]
Author: Andri Signorell [aut, cre], Ken Aho [ctb], Andreas Alfons [ctb], Nanina Anderegg [ctb], Tomas Aragon [ctb], Chandima Arachchige [ctb], Antti Arppe [ctb], Adrian Baddeley [ctb], Kamil Barton [ctb], Ben Bolker [ctb], Hans W. Borchers [ctb], Frederico C [...truncated...]
Maintainer: Andri Signorell <andri@signorell.net>

Diff between DescTools versions 0.99.56 dated 2024-08-22 and 0.99.57 dated 2024-09-25

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Package degreenet updated to version 1.3-6 with previous version 1.3-5 dated 2024-02-01

Title: Models for Skewed Count Distributions Relevant to Networks
Description: Likelihood-based inference for skewed count distributions, typically of degrees used in network modeling. "degreenet" is a part of the "statnet" suite of packages for network analysis. See Jones and Handcock <doi:10.1098/rspb.2003.2369>.
Author: Mark S. Handcock [aut, cre, cph]
Maintainer: Mark S. Handcock <handcock@stat.ucla.edu>

Diff between degreenet versions 1.3-5 dated 2024-02-01 and 1.3-6 dated 2024-09-25

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Package coffee updated to version 0.4.1 with previous version 0.4.0 dated 2024-09-04

Title: Chronological Ordering for Fossils and Environmental Events
Description: While individual calibrated radiocarbon dates can span several centuries, combining multiple dates together with any chronological constraints can make a chronology much more robust and precise. This package uses Bayesian methods to enforce the chronological ordering of radiocarbon and other dates, for example for trees with multiple radiocarbon dates spaced at exactly known intervals (e.g., 10 annual rings). For methods see Christen 2003 <doi:10.11141/ia.13.2>. Another example is sites where the relative chronological position of the dates is taken into account - the ages of dates further down a site must be older than those of dates further up (Buck, Kenworthy, Litton and Smith 1991 <doi:10.1017/S0003598X00080534>; Nicholls and Jones 2001 <doi:10.1111/1467-9876.00250>). The paper accompanying this R package is Blaauw et al. 2024 <doi:10.1017/RDC.2024.56>.
Author: Maarten Blaauw [aut, cre] , Marco A. Aquino Lopez [aut, ctb] , J. Andres Christen [aut, ctb, cph]
Maintainer: Maarten Blaauw <maarten.blaauw@qub.ac.uk>

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Package PBSmapping updated to version 2.74.1 with previous version 2.73.4 dated 2023-11-03

Title: Mapping Fisheries Data and Spatial Analysis Tools
Description: This software has evolved from fisheries research conducted at the Pacific Biological Station (PBS) in 'Nanaimo', British Columbia, Canada. It extends the R language to include two-dimensional plotting features similar to those commonly available in a Geographic Information System (GIS). Embedded C code speeds algorithms from computational geometry, such as finding polygons that contain specified point events or converting between longitude-latitude and Universal Transverse Mercator (UTM) coordinates. Additionally, we include 'C++' code developed by Angus Johnson for the 'Clipper' library, data for a global shoreline, and other data sets in the public domain. Under the user's R library directory '.libPaths()', specifically in './PBSmapping/doc', a complete user's guide is offered and should be consulted to use package functions effectively.
Author: Jon T. Schnute [aut], Nicholas Boers [aut], Rowan Haigh [aut, cre], Alex Couture-Beil [ctb], Denis Chabot [ctb], Chris Grandin [ctb], Alan Murta [ctb], Angus Johnson [ctb], Paul Wessel [ctb], Franklin Antonio [ctb], Nicholas J. Lewin-Koh [ctb], Roger [...truncated...]
Maintainer: Rowan Haigh <rowan.haigh@dfo-mpo.gc.ca>

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Package MLZ updated to version 0.1.5 with previous version 0.1.4 dated 2022-03-29

Title: Mean Length-Based Estimators of Mortality using TMB
Description: Estimation functions and diagnostic tools for mean length-based total mortality estimators based on Gedamke and Hoenig (2006) <doi:10.1577/T05-153.1>.
Author: Quang Huynh [aut, cre], Todd Gedamke [ctb], Amy Then [ctb]
Maintainer: Quang Huynh <quang@bluematterscience.com>

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Package clam updated to version 2.6.1 with previous version 2.6.0 dated 2024-09-04

Title: Classical Age-Depth Modelling of Cores from Deposits
Description: Performs 'classical' age-depth modelling of dated sediment deposits - prior to applying more sophisticated techniques such as Bayesian age-depth modelling. Any radiocarbon dated depths are calibrated. Age-depth models are constructed by sampling repeatedly from the dated levels, each time drawing age-depth curves. Model types include linear interpolation, linear or polynomial regression, and a range of splines. See Blaauw (2010) <doi:10.1016/j.quageo.2010.01.002>.
Author: Maarten Blaauw [aut, cre] , J. Andres Christen [ctb] , Judith Esquivel Vazquez [ctb], Simon Goring [ctb]
Maintainer: Maarten Blaauw <maarten.blaauw@qub.ac.uk>

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Package rio updated to version 1.2.3 with previous version 1.2.2 dated 2024-08-19

Title: A Swiss-Army Knife for Data I/O
Description: Streamlined data import and export by making assumptions that the user is probably willing to make: 'import()' and 'export()' determine the data format from the file extension, reasonable defaults are used for data import and export, web-based import is natively supported (including from SSL/HTTPS), compressed files can be read directly, and fast import packages are used where appropriate. An additional convenience function, 'convert()', provides a simple method for converting between file types.
Author: Jason Becker [aut], Chung-hong Chan [aut, cre] , David Schoch [aut] , Geoffrey CH Chan [ctb], Thomas J. Leeper [aut] , Christopher Gandrud [ctb], Andrew MacDonald [ctb], Ista Zahn [ctb], Stanislaus Stadlmann [ctb], Ruaridh Williamson [ctb], Patrick K [...truncated...]
Maintainer: Chung-hong Chan <chainsawtiney@gmail.com>

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Package readMDTable updated to version 0.2.0 with previous version 0.1.1 dated 2024-09-17

Title: Read Markdown Tables into Tibbles
Description: Efficient reading of raw markdown tables into tibbles. Designed to accept content from strings, files, and URLs with the ability to extract and read multiple tables from markdown for analysis.
Author: Jordan Bradford [aut, cre, cph]
Maintainer: Jordan Bradford <jrdnbradford@gmail.com>

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Package historicalborrowlong updated to version 0.1.0 with previous version 0.0.8 dated 2023-11-30

Title: Longitudinal Bayesian Historical Borrowing Models
Description: Historical borrowing in clinical trials can improve precision and operating characteristics. This package supports a longitudinal hierarchical model to borrow historical control data from other studies to better characterize the control response of the current study. It also quantifies the amount of borrowing through longitudinal benchmark models (independent and pooled). The hierarchical model approach to historical borrowing is discussed by Viele et al. (2013) <doi:10.1002/pst.1589>.
Author: William Michael Landau [aut, cre] , Albert Man [rev], Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>

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Package EBASE updated to version 1.1.0 with previous version 1.0.2 dated 2024-06-04

Title: Estuarine Bayesian Single-Station Estimation Method for Ecosystem Metabolism
Description: Estimate ecosystem metabolism in a Bayesian framework for individual water quality monitoring stations with continuous dissolved oxygen time series. A mass balance equation is used that provides estimates of parameters for gross primary production, respiration, and gas exchange. Methods adapted from Grace et al. (2015) <doi:10.1002/lom3.10011> and Wanninkhof (2014) <doi:10.4319/lom.2014.12.351>. Details in Beck et al. (2024) <doi:10.1002/lom3.10620>.
Author: Marcus Beck [aut, cre] , Maria Herrmann [aut], Jill Arriola [aut] , Raymond Najjar [aut]
Maintainer: Marcus Beck <mbeck@tbep.org>

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Package contactdata updated to version 1.1.0 with previous version 1.0.0 dated 2023-03-22

Title: Social Contact Matrices for 177 Countries
Description: Data package for the supplementary data in Prem et al. (2017) <doi:10.1371/journal.pcbi.1005697> and Prem et al. <doi:10.1371/journal.pcbi.1009098>. Provides easy access to contact data for 177 countries, for use in epidemiological, demographic or social sciences research.
Author: Hugo Gruson [cre, aut, cph] , Kiesha Prem [dtc] , Alex Richard Cook [dtc] , Mark Jit [dtc]
Maintainer: Hugo Gruson <hugo.gruson+R@normalesup.org>

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Package GECal updated to version 0.1.5 with previous version 0.1.3 dated 2024-09-18

Title: Generalized Entropy Calibration
Description: Generalized Entropy Calibration produces calibration weights using generalized entropy as the objective function for optimization. This approach, as implemented in the 'GECal' package, is based on Kwon, Kim, and Qiu (2024) <doi:10.48550/arXiv.2404.01076>. Unlike traditional methods, 'GECal' incorporates design weights into the constraints to maintain design consistency, rather than including them in the objective function itself.
Author: Yonghyun Kwon [aut, cre] , Jae Kwang Kim [aut] , Yumou Qiu [aut]
Maintainer: Yonghyun Kwon <yhkwon@kma.ac.kr>

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Package ReliabilityTheory updated to version 0.3.1 with previous version 0.3.0 dated 2024-02-17

Title: Structural Reliability Analysis
Description: Perform structural reliability analysis, including computation and simulation with system signatures, Samaniego (2007) <doi:10.1007/978-0-387-71797-5>, and survival signatures, Coolen and Coolen-Maturi (2013) <doi:10.1007/978-3-642-30662-4_8>. Additionally supports parametric and topological inference given system lifetime data, Aslett (2012) <https://www.louisaslett.com/PhD_Thesis.pdf>.
Author: Louis Aslett [aut, cre, cph]
Maintainer: Louis Aslett <louis.aslett@durham.ac.uk>

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Package manymome updated to version 0.2.3 with previous version 0.2.2 dated 2024-06-05

Title: Mediation, Moderation and Moderated-Mediation After Model Fitting
Description: Computes indirect effects, conditional effects, and conditional indirect effects in a structural equation model or path model after model fitting, with no need to define any user parameters or label any paths in the model syntax, using the approach presented in Cheung and Cheung (2023) <doi:10.3758/s13428-023-02224-z>. Can also form bootstrap confidence intervals by doing bootstrapping only once and reusing the bootstrap estimates in all subsequent computations. Supports bootstrap confidence intervals for standardized (partially or completely) indirect effects, conditional effects, and conditional indirect effects as described in Cheung (2009) <doi:10.3758/BRM.41.2.425> and Cheung, Cheung, Lau, Hui, and Vong (2022) <doi:10.1037/hea0001188>. Model fitting can be done by structural equation modeling using lavaan() or regression using lm().
Author: Shu Fai Cheung [aut, cre] , Sing-Hang Cheung [aut]
Maintainer: Shu Fai Cheung <shufai.cheung@gmail.com>

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Package StroupGLMM updated to version 0.2.0 with previous version 0.1.0 dated 2016-04-18

Title: R Codes and Datasets for Generalized Linear Mixed Models: Modern Concepts, Methods and Applications by Walter W. Stroup
Description: R Codes and Datasets for Stroup, W. W. (2012). Generalized Linear Mixed Models Modern Concepts, Methods and Applications, CRC Press.
Author: Muhammad Yaseen [aut, cre, cph] , Adeela Munawar [aut, ctb], Walter W. Stroup [aut, ctb], Kent M. Eskridge [aut, ctb]
Maintainer: Muhammad Yaseen <myaseen208@gmail.com>

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Package powRICLPM updated to version 0.2.0 with previous version 0.1.1 dated 2023-02-07

Title: Perform Power Analysis for the RI-CLPM and STARTS Model
Description: Perform user-friendly power analyses for the random intercept cross-lagged panel model (RI-CLPM) and the bivariate stable trait autoregressive trait state (STARTS) model. The strategy as proposed by Mulder (2023) <doi:10.1080/10705511.2022.2122467> is implemented. Extensions include the use of parameter constraints over time, bounded estimation, generation of data with skewness and kurtosis, and the option to setup the power analysis for Mplus.
Author: Jeroen Mulder [aut, cre, cph] , Netherlands Organization for Scientific Research [fnd]
Maintainer: Jeroen Mulder <j.d.mulder@uu.nl>

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Package persval updated to version 1.1.1 with previous version 1.0.0 dated 2024-08-26

Title: Computing Personal Values Scores
Description: Compute personal values scores from various questionnaires based on the theoretical constructs proposed by professor Shalom H. Schwartz. Designed for researchers and practitioners in psychology, sociology, and related fields, the package facilitates the quantification and visualization of different dimensions related to personal values from survey data. It incorporates the recommended statistical adjustment to enhance the accuracy and interpretation of the results. Note: The package 'persval' is independently developed based on the personal values theoretical framework, and is not directly endorsed by professor Schwartz.
Author: Giuseppe Corbelli [aut, cre]
Maintainer: Giuseppe Corbelli <giuseppe.corbelli@uninettunouniversity.net>

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Package mapmixture updated to version 1.1.4 with previous version 1.1.3 dated 2024-05-16

Title: Spatial Visualisation of Admixture on a Projected Map
Description: Visualise admixture as pie charts on a projected map, admixture as traditional structure barplots or facet barplots, and scatter plots from genotype principal components analysis. A 'shiny' app allows users to create admixture maps interactively. Jenkins TL (2024) <doi:10.1111/1755-0998.13943>.
Author: Tom Jenkins [aut, cre, cph]
Maintainer: Tom Jenkins <tom.l.jenkins@outlook.com>

Diff between mapmixture versions 1.1.3 dated 2024-05-16 and 1.1.4 dated 2024-09-25

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Package glow updated to version 0.13.0 with previous version 0.11.0 dated 2023-04-05

Title: Make Plots that Glow
Description: Provides a framework for creating plots with glowing points.
Author: Travers Ching [aut, cre, cph]
Maintainer: Travers Ching <traversc@gmail.com>

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Package ggplot.multistats updated to version 1.0.1 with previous version 1.0.0 dated 2019-10-28

Title: Multiple Summary Statistics for Binned Stats/Geometries
Description: Provides the ggplot binning layer stat_summaries_hex(), which functions similar to its singular form, but allows the use of multiple statistics per bin. Those statistics can be mapped to multiple bin aesthetics.
Author: Philipp Angerer [aut, cre]
Maintainer: Philipp Angerer <phil.angerer@gmail.com>

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Package DrugExposureDiagnostics updated to version 1.0.9 with previous version 1.0.8 dated 2024-09-10

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

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Package douconca updated to version 1.2.1 with previous version 1.2.0 dated 2024-09-13

Title: Double Constrained Correspondence Analysis for Trait-Environment Analysis in Ecology
Description: Double constrained correspondence analysis (dc-CA) analyzes (multi-)trait (multi-)environment ecological data by using the 'vegan' package and native R code. Throughout the two step algorithm of ter Braak et al. (2018) is used. This algorithm combines and extends community- (sample-) and species-level analyses, i.e. the usual community weighted means (CWM)-based regression analysis and the species-level analysis of species-niche centroids (SNC)-based regression analysis. The two steps use canonical correspondence analysis to regress the abundance data on to the traits and (weighted) redundancy analysis to regress the CWM of the orthonormalized traits on to the environmental predictors. The function dc_CA() has an option to divide the abundance data of a site by the site total, giving equal site weights. This division has the advantage that the multivariate analysis corresponds with an unweighted (multi-trait) community-level analysis, instead of being weighted. The first step of the al [...truncated...]
Author: Cajo J.F ter Braak [aut] , Bart-Jan van Rossum [aut, cre]
Maintainer: Bart-Jan van Rossum <bart-jan.vanrossum@wur.nl>

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Package CohortConstructor updated to version 0.3.0 with previous version 0.2.2 dated 2024-07-31

Title: Build and Manipulate Study Cohorts Using a Common Data Model
Description: Create and manipulate study cohorts in data mapped to the Observational Medical Outcomes Partnership Common Data Model.
Author: Edward Burn [aut, cre] , Marti Catala [aut] , Nuria Mercade-Besora [aut] , Marta Alcalde-Herraiz [aut] , Mike Du [aut] , Yuchen Guo [aut] , Xihang Chen [aut] , Kim Lopez [aut] , Elin Rowlands [aut]
Maintainer: Edward Burn <edward.burn@ndorms.ox.ac.uk>

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Package cohortBuilder updated to version 0.3.0 with previous version 0.2.0 dated 2023-02-28

Title: Data Source Agnostic Filtering Tools
Description: Common API for filtering data stored in different data models. Provides multiple filter types and reproducible R code. Works standalone or with 'shinyCohortBuilder' as the GUI for interactive Shiny apps.
Author: Krystian Igras [cre, aut], Adam Forys [ctb]
Maintainer: Krystian Igras <krystian8207@gmail.com>

Diff between cohortBuilder versions 0.2.0 dated 2023-02-28 and 0.3.0 dated 2024-09-25

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Package TLIC updated to version 0.2 with previous version 0.1 dated 2024-09-15

Title: The LIC for T Distribution Regression Analysis
Description: This comprehensive toolkit for T-distribution regression, known as the analysis of "TLIC" (T-distribution Linear regression Integrated Corrector), adopts ordinary least squares method and assumes that errors follow a T-distribution. This approach gives it an advantage when dealing with small samples or non-normal error distributions, and can provide more robust parameter estimation and hypothesis testing results.The philosophy of the package is described in Guo G. (2020) <doi:10.1080/02664763.2022.2053949>.
Author: Guangbao Guo [aut, cre] , Guofu Jing [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>

Diff between TLIC versions 0.1 dated 2024-09-15 and 0.2 dated 2024-09-25

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Package seasonalityPlot updated to version 1.3.1 with previous version 1.2.1 dated 2024-02-19

Title: Seasonality Variation Plots of Stock Prices and Cryptocurrencies
Description: The price action at any given time is determined by investor sentiment and market conditions. Although there is no established principle, over a long period of time, things often move with a certain periodicity. This is sometimes referred to as anomaly. The seasonPlot() function in this package calculates and visualizes the average value of price movements over a year for any given period. In addition, the monthly increase or decrease in price movement is represented with a colored background. This seasonPlot() function can use the same symbols as the 'quantmod' package (e.g. ^IXIC, ^DJI, SPY, BTC-USD, and ETH-USD etc).
Author: Satoshi Kume [aut, cre]
Maintainer: Satoshi Kume <satoshi.kume.1984@gmail.com>

Diff between seasonalityPlot versions 1.2.1 dated 2024-02-19 and 1.3.1 dated 2024-09-25

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Package felp updated to version 0.6.0 with previous version 0.5.0 dated 2024-04-18

Title: Functional Help for Functions, Objects, and Packages
Description: Enhance R help system by fuzzy search and preview interface, pseudo-postfix operators, and more. The `?.` pseudo-postfix operator and the `?` prefix operator displays documents and contents (source or structure) of objects simultaneously to help understanding the objects. The `?p` pseudo-postfix operator displays package documents, and is shorter than help(package = foo).
Author: Atsushi Yasumoto [aut, cph, cre]
Maintainer: Atsushi Yasumoto <atusy.rpkg@gmail.com>

Diff between felp versions 0.5.0 dated 2024-04-18 and 0.6.0 dated 2024-09-25

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Package corbouli updated to version 0.1.1 with previous version 0.1.0 dated 2024-09-12

Title: Corbae-Ouliaris Frequency Domain Filtering
Description: Corbae-Ouliaris frequency domain filtering. According to Corbae and Ouliaris (2006) <doi:10.1017/CBO9781139164863.008>, this is a solution for extracting cycles from time series, like business cycles etc. when filtering. This method is valid for both stationary and non-stationary time series.
Author: Christos Adam [aut, cre]
Maintainer: Christos Adam <econp266@econ.soc.uoc.gr>

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Package cbsodataR updated to version 1.1 with previous version 1.0.1 dated 2024-01-08

Title: Statistics Netherlands (CBS) Open Data API Client
Description: The data and meta data from Statistics Netherlands (<https://www.cbs.nl>) can be browsed and downloaded. The client uses the open data API of Statistics Netherlands.
Author: Edwin de Jonge [aut, cre], Sara Houweling [ctb]
Maintainer: Edwin de Jonge <edwindjonge@gmail.com>

Diff between cbsodataR versions 1.0.1 dated 2024-01-08 and 1.1 dated 2024-09-25

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Package adimpro updated to version 0.9.7.2 with previous version 0.9.7 dated 2024-07-05

Title: Adaptive Smoothing of Digital Images
Description: Implements tools for manipulation of digital images and the Propagation Separation approach by Polzehl and Spokoiny (2006) <DOI:10.1007/s00440-005-0464-1> for smoothing digital images, see Polzehl and Tabelow (2007) <DOI:10.18637/jss.v019.i01>.
Author: Karsten Tabelow [aut, cre], Joerg Polzehl [aut]
Maintainer: Karsten Tabelow <tabelow@wias-berlin.de>

Diff between adimpro versions 0.9.7 dated 2024-07-05 and 0.9.7.2 dated 2024-09-25

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New package xmlwriter with initial version 0.1.1
Package: xmlwriter
Title: Fast and Elegant XML Generation
Version: 0.1.1
Description: Provides a fast and elegant interface for generating XML fragments and documents. It can be used in companion with R packages 'XML' or 'xml2' to generate XML documents. The fast XML generation is implemented using the 'Rcpp' package.
License: MIT + file LICENSE
Encoding: UTF-8
LinkingTo: Rcpp
Imports: Rcpp
Suggests: xml2, tinytest
URL: https://edwindj.github.io/xmlwriter/
NeedsCompilation: yes
Packaged: 2024-09-25 07:05:36 UTC; edwin
Author: Edwin de Jonge [aut, cre]
Maintainer: Edwin de Jonge <edwindjonge@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-25 10:20:03 UTC

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New package SSNbler with initial version 1.0.1
Package: SSNbler
Title: Assemble 'SSN' Objects
Version: 1.0.1
Description: Import, create and assemble data needed to fit spatial-statistical stream-network models using the 'SSN2' package for 'R'. Streams, observations, and prediction locations are represented as simple features and specific tools provided to define topological relationships between features; calculate the hydrologic distances (with flow-direction preserved) and the spatial additive function used to weight converging stream segments; and export the topological, spatial, and attribute information to an `SSN` (spatial stream network) object, which can be efficiently stored, accessed and analysed in 'R'. A detailed description of methods used to calculate and format the spatial data can be found in Peterson, E.E. and Ver Hoef, J.M., (2014) <doi:10.18637/jss.v056.i02>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: sf, dplyr, pdist, stats, utils, igraph, RSQLite, withr, SSN2
Suggests: ggplot2, knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/pet221/SSNbler
BugReports: https://github.com/pet221/SSNbler/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-25 05:58:30 UTC; erin
Author: Erin Peterson [aut, cre] , Michael Dumelle [aut] , Alan Pearse [aut] , Dan Teleki [ctb], Jay M. Ver Hoef [ctb]
Maintainer: Erin Peterson <erin@peterson-consulting.com>
Repository: CRAN
Date/Publication: 2024-09-25 10:20:12 UTC

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New package IJSE with initial version 0.1.0
Package: IJSE
Title: Infinite-Jackknife-Based Standard Errors for 'brms' Models
Version: 0.1.0
Description: Provides a function to calculate infinite-jackknife-based standard errors for fixed effects parameters in 'brms' models, handling both clustered and non-clustered data. References: Ji et al. (2024) <doi:10.48550/arXiv.2407.09772>; Giordano et al. (2024) <doi:10.48550/arXiv.2305.06466>.
License: MIT + file LICENSE
Depends: R (>= 3.5.0)
Imports: brms, posterior
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-09-24 20:45:22 UTC; jifeng3
Author: Feng Ji [aut, cre]
Maintainer: Feng Ji <f.ji@utoronto.ca>
Repository: CRAN
Date/Publication: 2024-09-25 10:10:07 UTC

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New package baclava with initial version 1.0
Package: baclava
Title: Bayesian Analysis of Cancer Latency with Auxiliary Variable Augmentation
Version: 1.0
Date: 2024-09-24
Description: A novel data-augmentation Markov chain Monte Carlo sampling algorithm to fit a progressive compartmental model of disease in a Bayesian framework Morsomme, R.N., Holloway, S.T., Ryser, M.D. and Xu J. (2024) <doi:10.48550/arXiv.2408.14625>.
License: GPL-3
Depends: R (>= 3.5.0)
Imports: Rcpp, RcppNumerical, ggplot2, coda, dplyr, stats, tibble, tidyr, foreach, doParallel
LinkingTo: Rcpp, RcppEigen, RcppNumerical
Encoding: UTF-8
NeedsCompilation: yes
LazyData: true
Suggests: rmarkdown, knitr
Maintainer: Shannon T. Holloway <shannon.t.holloway@gmail.com>
Author: Raphael N. Morsomme [aut], Shannon T. Holloway [aut, cre], Jason Xu [ctb], Marc D. Ryser [ctb]
Packaged: 2024-09-24 20:45:52 UTC; sth45
Repository: CRAN
Date/Publication: 2024-09-25 10:10:03 UTC

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Package SKNN updated to version 4.0 with previous version 3.1 dated 2022-06-11

Title: A Super K-Nearest Neighbor (SKNN) Classification Algorithm
Description: It's a Super K-Nearest Neighbor classification method with using kernel density to describe weight of the distance between a training observation and the testing sample.
Author: Yi Ya [aut, cre], Nader Ebrahimi [aut], Yoram Rubin [aut], Jacob Zhang [aut]
Maintainer: Yi Ya <Yi.YA_yaya@hotmail.com>

Diff between SKNN versions 3.1 dated 2022-06-11 and 4.0 dated 2024-09-25

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New package rix with initial version 0.12.1
Package: rix
Title: Reproducible Data Science Environments with 'Nix'
Version: 0.12.1
Description: Simplifies the creation of reproducible development environments using the 'Nix' package manager. The included `rix()` function generates a complete description of the development environment as a `default.nix` file, which can then be built using 'Nix'. This results in project specific software environments with pinned versions of R, packages, linked system dependencies, and other tools. Additional helpers make it easy to run R code in 'Nix' software environments for testing and production.
License: GPL (>= 3)
URL: https://docs.ropensci.org/rix/
BugReports: https://github.com/ropensci/rix/issues
Depends: R (>= 2.10)
Imports: codetools, curl, jsonlite, sys, utils
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-09-24 19:15:07 UTC; b-rodrigues
Author: Bruno Rodrigues [aut, cre] , Philipp Baumann [aut] , David Watkins [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/625>), Jacob Wujiciak-Jens [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/62 [...truncated...]
Maintainer: Bruno Rodrigues <bruno@brodrigues.co>
Repository: CRAN
Date/Publication: 2024-09-25 10:00:02 UTC

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Package pkglite updated to version 0.2.3 with previous version 0.2.2 dated 2024-02-21

Title: Compact Package Representations
Description: A tool, grammar, and standard to represent and exchange R package source code as text files. Converts one or more source packages to a text file and restores the package structures from the file.
Author: Nan Xiao [aut, cre] , Yilong Zhang [aut], Keaven Anderson [aut], Amin Shirazi [ctb], Jeff Cheng [ctb], Danfeng Fu [ctb], Merck & Co., Inc., Rahway, NJ, USA and its affiliates [cph]
Maintainer: Nan Xiao <nan.xiao1@merck.com>

Diff between pkglite versions 0.2.2 dated 2024-02-21 and 0.2.3 dated 2024-09-25

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Package MKMeans updated to version 3.0 with previous version 2.1 dated 2022-06-12

Title: A Modern K-Means (MKMeans) Clustering Algorithm
Description: It's a Modern K-Means clustering algorithm allowing data of any number of dimensions, any initial center, and any number of clusters to expect.
Author: Yi Ya [aut, cre], Nader Ebrahimi [aut], Yoram Rubin [aut], Jacob Zhang [aut]
Maintainer: Yi Ya <Yi.YA_yaya@hotmail.com>

Diff between MKMeans versions 2.1 dated 2022-06-12 and 3.0 dated 2024-09-25

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New package maxaltall with initial version 0.1.0
Package: maxaltall
Title: 'FASTA' ML and ‘altall’ Sequences from IQ-TREE .state Files
Version: 0.1.0
Maintainer: Philip D. Kiser <pkiser@uci.edu>
Description: Takes a .state file generated by IQ-TREE as an input and, for each ancestral node present in the file, generates a FASTA-formatted maximum likelihood (ML) sequence as well as an ‘AltAll’ sequence in which uncertain sites, determined by the two parameters thres_1 and thres_2, have the maximum likelihood state swapped with the next most likely state as described in Geeta N. Eick, Jamie T. Bridgham, Douglas P. Anderson, Michael J. Harms, and Joseph W. Thornton (2017), "Robustness of Reconstructed Ancestral Protein Functions to Statistical Uncertainty" <doi:10.1093/molbev/msw223>.
License: GPL (>= 3)
Imports: data.table, dplyr, magrittr, tidyr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-09-24 13:54:18 UTC; Philip Kiser
Author: Alec S. Chu [aut], Philip D. Kiser [aut, cre]
Repository: CRAN
Date/Publication: 2024-09-25 09:30:02 UTC

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New package arrg with initial version 0.1.0
Package: arrg
Version: 0.1.0
Date: 2024-09-23
Title: Flexible Argument Parsing for R Scripts
Imports: ore
Suggests: tinytest, covr
Description: Argument parsing for R scripts, with support for long and short Unix-style options including option clustering, positional arguments including those of variable length, and multiple usage patterns which may take different subsets of options.
Encoding: UTF-8
License: GPL-2
URL: https://github.com/jonclayden/arrg
BugReports: https://github.com/jonclayden/arrg/issues
NeedsCompilation: no
Packaged: 2024-09-24 15:47:16 UTC; jon
Author: Jon Clayden [cre, aut]
Maintainer: Jon Clayden <code@clayden.org>
Repository: CRAN
Date/Publication: 2024-09-25 09:50:02 UTC

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New package roundwork with initial version 0.0.1
Package: roundwork
Title: Rounding Infrastructure
Version: 0.0.1
Description: Flexible rounding functions for use in error detection. They were outsourced from the 'scrutiny' package.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: conflicted, ggplot2, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Imports: cli, dplyr, magrittr, purrr, rlang, stringr, tibble
URL: https://lhdjung.github.io/roundwork/, https://github.com/lhdjung/roundwork/
BugReports: https://github.com/lhdjung/roundwork/issues
NeedsCompilation: no
Packaged: 2024-09-23 22:45:24 UTC; lukas
Author: Lukas Jung [aut, cre]
Maintainer: Lukas Jung <jung-lukas@gmx.net>
Repository: CRAN
Date/Publication: 2024-09-25 08:30:01 UTC

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New package rafsi with initial version 0.0.2
Package: rafsi
Title: Ranking of Alternatives with the RAFSI Method
Version: 0.0.2
Description: Ranking of Alternatives through Functional mapping of criterion sub-intervals into a Single Interval Method is designed to perform multi-criteria decision-making (MCDM), developed by Mališa Žižovic in 2020 (<doi:10.3390/math8061015>). It calculates the final sorted rankings based on a decision matrix where rows represent alternatives and columns represent criteria. The method uses: - A numeric vector of weights for each criterion (the sum of weights must be 1). - A numeric vector of ideal values for each criterion. - A numeric vector of anti-ideal values for each criterion. - Numeric values representing the extent to which the ideal value is preferred over the anti-ideal value, and the extent to which the anti-ideal value is considered worse. The function standardizes the decision matrix, normalizes the data, applies weights, and returns the final sorted rankings.
Language: en-US
Depends: R (>= 4.2.0)
License: GPL (>= 3)
Encoding: UTF-8
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-23 18:14:41 UTC; Usuario
Author: Mateus Vanzetta [aut, cre], Marcos Santos [ctb]
Maintainer: Mateus Vanzetta <mateusvanzetta@id.uff.br>
Repository: CRAN
Date/Publication: 2024-09-25 08:10:02 UTC

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New package Path.Analysis with initial version 0.1
Package: Path.Analysis
Title: Path Coefficient Analysis
Version: 0.1
Date: 2024-9-12.
Author: Ali Arminian [aut, cre, cph]
Maintainer: Ali Arminian <abeyran@gmail.com>
Description: Facilitates the performance of several analyses, including simple and sequential path coefficient analysis, correlation estimate, drawing correlogram, Heatmap, and path diagram. When working with raw data, that includes one or more dependent variables along with one or more independent variables are available, the path coefficient analysis can be conducted. It allows for testing direct effects, which can be a vital indicator in path coefficient analysis. The process of preparing the dataset rule is explained in detail in the vignette file "Path.Analysis_manual.Rmd". You can find this in the folders labelled "data" and "~/inst/extdata". Also see: 1)the 'lavaan', 2)a sample of sequential path analysis in 'metan' suggested by Olivoto and Lúcio (2020) <doi:10.1111/2041-210X.13384>, 3)the simple 'PATHSAS' macro written in 'SAS' by Cramer et al. (1999) <doi:10.1093/jhered/90.1.260>, and 4)the semPlot() function of 'OpenMx' as initial tools for conducting path coefficient analyses [...truncated...]
License: GPL-3
URL: https://github.com/abeyran/Path.Analysis
BugReports: https://github.com/abeyran/Path.Analysis/issues
Depends: R (>= 4.1.0)
Imports: stats, corrr, corrplot, Hmisc, gplots, mathjaxr, pastecs, graphics, grDevices, DiagrammeR, ComplexHeatmap, metan
Suggests: car, ggplot2, devtools, usethis, testthat, knitr, rmarkdown, roxygen2, spelling
VignetteBuilder: knitr
Encoding: UTF-8
Copyright: Ali Arminian
Language: en-US
LazyData: true
LazyLoad: true
NeedsCompilation: no
BuildManual: TRUE
Packaged: 2024-09-23 19:30:28 UTC; Administrator
Repository: CRAN
Date/Publication: 2024-09-25 08:20:05 UTC

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New package markowitz with initial version 0.1.0
Package: markowitz
Title: Markowitz Criterion
Version: 0.1.0
Maintainer: Luana Oliveira <luana.azevedo.oliveira.2022@gmail.com>
Description: The Markowitz criterion is a multicriteria decision-making method that stands out in risk and uncertainty analysis in contexts where probabilities are known. This approach represents an evolution of Pascal's criterion by incorporating the dimension of variability. In this framework, the expected value reflects the anticipated return, while the standard deviation serves as a measure of risk. The 'markowitz' package provides a practical and accessible tool for implementing this method, enabling researchers and professionals to perform analyses without complex calculations. Thus, the package facilitates the application of the Markowitz criterion. More details on the method can be found in Octave Jokung-Nguéna (2001, ISBN 2100055372).
URL: https://github.com/luana1909/Markowitiz
Imports: dplyr, tidyr, magrittr, tidyverse
Language: en-US
License: GPL-3
Encoding: UTF-8
Suggests: rmarkdown, spelling, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-09-23 23:19:00 UTC; Luana de Azevedo
Author: Luana Oliveira [aut, cre], Marcos Santos [ctb]
Repository: CRAN
Date/Publication: 2024-09-25 08:30:05 UTC

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New package LearnVizLMM with initial version 1.0.0
Package: LearnVizLMM
Title: Learning and Communicating Linear Mixed Models Without Data
Version: 1.0.0
Description: Summarizes characteristics of linear mixed effects models without data or a fitted model by converting code for fitting lmer() from 'lme4' and lme() from 'nlme' into tables, equations, and visuals. Outputs can be used to learn how to fit linear mixed effects models in 'R' and to communicate about these models in presentations, manuscripts, and analysis plans.
URL: https://github.com/kzavez/LearnVizLMM
BugReports: https://github.com/kzavez/LearnVizLMM/issues
License: GPL (>= 3)
Encoding: UTF-8
Imports: cli, DiagrammeR, DiagrammeRsvg, dplyr, rsvg, stringr
Suggests: kableExtra, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-23 20:04:30 UTC; kathe
Author: Katherine Zavez [aut, cre], Ofer Harel [aut]
Maintainer: Katherine Zavez <Katherine.Zavez@uconn.edu>
Repository: CRAN
Date/Publication: 2024-09-25 08:30:08 UTC

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New package fucom with initial version 0.0.2
Package: fucom
Title: Full Consistency Method (FUCOM)
Version: 0.0.2
Description: Full Consistency Method (FUCOM) for multi-criteria decision-making (MCDM), developed by Dragam Pamucar in 2018 (<doi:10.3390/sym10090393>). The goal of the method is to determine the weights of criteria such that the deviation from full consistency is minimized. Users provide a character vector specifying the ranking of each criterion according to its significance, starting from the criterion expected to have the highest weight to the least significant one. Additionally, users provide a numeric vector specifying the priority values for each criterion. The comparison is made with respect to the first-ranked (most significant) criterion. The function returns the optimized weights for each criterion (summing to 1), the comparative priority (Phi) values, the mathematical transitivity condition (w) value, and the minimum deviation from full consistency (DFC).
Language: en-US
Depends: R (>= 4.2.0)
License: GPL (>= 3)
Imports: nloptr, stats
Encoding: UTF-8
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-23 18:37:47 UTC; Usuario
Author: Mateus Vanzetta [aut, cre], Marcos Santos [ctb]
Maintainer: Mateus Vanzetta <mateusvanzetta@id.uff.br>
Repository: CRAN
Date/Publication: 2024-09-25 08:20:02 UTC

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New package EFAfactors with initial version 1.0.0
Package: EFAfactors
Title: Determining the Number of Factors in Exploratory Factor Analysis
Version: 1.0.0
Date: 2024-09-03
Maintainer: Haijiang Qin <haijiang133@outlook.com>
Description: Provides a collection of standard factor retention methods in Exploratory Factor Analysis (EFA), making it easier to determine the number of factors. Traditional methods such as the scree plot by Cattell (1966) <doi:10.1207/s15327906mbr0102_10>, Kaiser-Guttman Criterion (KGC) by Guttman (1954) <doi:10.1007/BF02289162> and Kaiser (1960) <doi:10.1177/001316446002000116>, and flexible Parallel Analysis (PA) by Horn (1965) <doi:10.1007/BF02289447> based on eigenvalues form PCA or EFA are readily available. This package also implements several newer methods, such as the Empirical Kaiser Criterion (EKC) by Braeken and van Assen (2017) <doi:10.1037/met0000074>, Comparison Data (CD) by Ruscio and Roche (2012) <doi:10.1037/a0025697>, and Hull method by Lorenzo-Seva et al. (2011) <doi:10.1080/00273171.2011.564527>, as well as some AI-based methods like Comparison Data Forest (CDF) by Goretzko and Ruscio (2024) <doi:10.3758/s13428-023-02122-4> and F [...truncated...]
License: GPL-3
Depends: R (>= 4.1.0)
Imports: BBmisc, ddpcr, ineq, MASS, Matrix, mlr, ParamHelpers, proxy, psych, ranger, reticulate, Rcpp, RcppArmadillo, SimCorMultRes, xgboost
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
NeedsCompilation: yes
Repository: CRAN
Packaged: 2024-09-24 07:59:15 UTC; Haiji
Author: Haijiang Qin [aut, cre, cph], Lei Guo [aut, cph]
Date/Publication: 2024-09-25 08:50:02 UTC

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Package nbpMatching updated to version 1.5.6 with previous version 1.5.5 dated 2024-05-17

Title: Functions for Optimal Non-Bipartite Matching
Description: Perform non-bipartite matching and matched randomization. A "bipartite" matching utilizes two separate groups, e.g. smokers being matched to nonsmokers or cases being matched to controls. A "non-bipartite" matching creates mates from one big group, e.g. 100 hospitals being randomized for a two-arm cluster randomized trial or 5000 children who have been exposed to various levels of secondhand smoke and are being paired to form a greater exposure vs. lesser exposure comparison. At the core of a non-bipartite matching is a N x N distance matrix for N potential mates. The distance between two units expresses a measure of similarity or quality as mates (the lower the better). The 'gendistance()' and 'distancematrix()' functions assist in creating this. The 'nonbimatch()' function creates the matching that minimizes the total sum of distances between mates; hence, it is referred to as an "optimal" matching. The 'assign.grp()' function aids in performing a matched randomization. Note bipartit [...truncated...]
Author: Cole Beck [aut, cre], Bo Lu [aut], Robert Greevy [aut]
Maintainer: Cole Beck <cole.beck@vumc.org>

Diff between nbpMatching versions 1.5.5 dated 2024-05-17 and 1.5.6 dated 2024-09-25

 DESCRIPTION                |   10 +++++-----
 MD5                        |   22 +++++++++++-----------
 NEWS.md                    |    3 +++
 R/fill.missing.R           |   10 +++++-----
 R/gendistance.R            |    4 ++--
 R/nbpmatching-package.R    |    2 +-
 R/qom.R                    |    9 ++++++---
 man/fill.missing.Rd        |    8 ++++----
 man/gendistance.Rd         |    2 +-
 man/nbpMatching-package.Rd |    4 ++--
 man/qom.Rd                 |    4 ++--
 src/fcorematch.f           |   44 +++++++++++++++++++-------------------------
 12 files changed, 61 insertions(+), 61 deletions(-)

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