Sun, 07 Jul 2024

Package mispitools updated to version 1.1.0 with previous version 1.0.0 dated 2023-09-05

Title: Missing Person Identification Tools
Description: An open source software package written in R statistical language. It consist in a set of decision making tools to conduct missing person searches. Particularly, it allows computing optimal LR threshold for declaring potential matches in DNA-based database search. More recently 'mispitools' incorporates preliminary investigation data based LRs. Statistical weight of different traces of evidence such as biological sex, age and hair color are presented. For citing mispitools please use the following references: Marsico and Caridi, 2023 <doi:10.1016/j.fsigen.2023.102891> and Marsico, Vigeland et al. 2021 <doi:10.1016/j.fsigen.2021.102519>.
Author: Franco Marsico [aut, cre]
Maintainer: Franco Marsico <franco.lmarsico@gmail.com>

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Package MultiGroupO updated to version 0.4.0 with previous version 0.3.0 dated 2024-06-04

Title: MultiGroup Method and Simulation Data Analysis
Description: Two method new of multigroup and simulation of data. The first technique called multigroup PCA (mgPCA) this multivariate exploration approach that has the idea of considering the structure of groups and / or different types of variables. On the other hand, the second multivariate technique called Multigroup Dimensionality Reduction (MDR) it is another multivariate exploration method that is based on projections. In addition, a method called Single Dimension Exploration (SDE) was incorporated for to analyze the exploration of the data. It could help us in a better way to observe the behavior of the multigroup data with certain variables of interest.
Author: Carolina Millap/'an [aut, cre], Esteban Vegas [aut] , Ferran Reverter [aut] , Josep M Oller [aut] , Joel Mu/~noz [aut]
Maintainer: Carolina Millap/'an <cayoya19@gmail.com>

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Package excel.link updated to version 0.9.13 with previous version 0.9.12 dated 2024-01-17

Title: Convenient Data Exchange with Microsoft Excel
Description: Allows access to data in running instance of Microsoft Excel (e. g. 'xl[a1] = xl[b2]*3' and so on). Graphics can be transferred with 'xl[a1] = current.graphics()'. Additionally there are function for reading/writing 'Excel' files - 'xl.read.file'/'xl.save.file'. They are not fast but able to read/write '*.xlsb'-files and password-protected files. There is an Excel workbook with examples of calling R from Excel in the 'doc' folder. It tries to keep things as simple as possible - there are no needs in any additional installations besides R, only 'VBA' code in the Excel workbook. Microsoft Excel is required for this package.
Author: Gregory Demin <excel.link.feedback@gmail.com>. To comply CRAN policy includes source code from 'RDCOMClient' by Duncan Temple Lang <duncan@wald.ucdavis.edu>.
Maintainer: Gregory Demin <excel.link.feedback@gmail.com>

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Package dodgr updated to version 0.4.1 with previous version 0.4.0 dated 2024-05-25

Title: Distances on Directed Graphs
Description: Distances on dual-weighted directed graphs using priority-queue shortest paths (Padgham (2019) <doi:10.32866/6945>). Weighted directed graphs have weights from A to B which may differ from those from B to A. Dual-weighted directed graphs have two sets of such weights. A canonical example is a street network to be used for routing in which routes are calculated by weighting distances according to the type of way and mode of transport, yet lengths of routes must be calculated from direct distances.
Author: Mark Padgham [aut, cre], Andreas Petutschnig [aut], David Cooley [aut], Robin Lovelace [ctb], Andrew Smith [ctb], Malcolm Morgan [ctb], Shane Saunders [cph] , Stanislaw Adaszewski [cph]
Maintainer: Mark Padgham <mark.padgham@email.com>

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Package genderstat updated to version 0.1.5 with previous version 0.1.3 dated 2023-08-22

Title: Quantitative Analysis Tools for Gender Studies
Description: Provides tools for quantitative analysis in gender studies, including functions to calculate various gender inequality metrics such as the Gender Pay Gap, Gender Inequality Index (GII), Gender Development Index (GDI), and Gender Empowerment Measure (GEM). Also includes extracted secondary example datasets for practice and learning purposes, which were obtained from the UNDP Human Development Reports Data Center and the World Bank Gender Data Portal by the author the dataset is available on <doi:10.34740/kaggle/dsv/6359326>. References: Miller, Kevin; Vagins, Deborah J. (2021) <https://eric.ed.gov/?id=ED596219>. Jacques Charmes & Saskia Wieringa (2003) <doi:10.1080/1464988032000125773>. Gaëlle Ferrant (2010) <https://shs.hal.science/halshs-00462463/>.
Author: S M Mashrur Arafin Ayon [aut, cre]
Maintainer: S M Mashrur Arafin Ayon <mashrur399@gmail.com>

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Package RcppSimdJson updated to version 0.1.12 with previous version 0.1.11 dated 2023-11-28

Title: 'Rcpp' Bindings for the 'simdjson' Header-Only Library for 'JSON' Parsing
Description: The 'JSON' format is ubiquitous for data interchange, and the 'simdjson' library written by Daniel Lemire (and many contributors) provides a high-performance parser for these files which by relying on parallel 'SIMD' instruction manages to parse these files as faster than disk speed. See the <doi:10.48550/arXiv.1902.08318> paper for more details about 'simdjson'. This package parses 'JSON' from string, file, or remote URLs under a variety of settings.
Author: Dirk Eddelbuettel, Brendan Knapp, Daniel Lemire
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package modsem updated to version 1.0.1 with previous version 0.1.4 dated 2024-06-02

Title: Latent Interaction (and Moderation) Analysis in Structural Equation Models (SEM)
Description: Estimation of interaction (i.e., moderation) effects between latent variables in structural equation models (SEM). The supported methods are: The constrained approach (Algina & Moulder, 2001). The unconstrained approach (Marsh et al., 2004). The residual centering approach (Little et al., 2006). The double centering approach (Lin et al., 2010). The latent moderated structural equations (LMS) approach (Klein & Moosbrugger, 2000). The quasi-maximum likelihood (QML) approach (Klein & Muthén, 2007) (temporarily unavailable) The constrained- unconstrained, residual- and double centering- approaches are estimated via 'lavaan' (Rosseel, 2012), whilst the LMS- and QML- approaches are estimated via by modsem it self. Alternatively model can be estimated via 'Mplus' (Muthén & Muthén, 1998-2017). References: Algina, J., & Moulder, B. C. (2001). <doi:10.1207/S15328007SEM0801_3>. "A note on estimating the Jöreskog-Yang model for latent variable interaction using 'LISREL' 8 [...truncated...]
Author: Kjell Solem Slupphaug [aut, cre]
Maintainer: Kjell Solem Slupphaug <slupphaugkjell@gmail.com>

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New package frailtypack with initial version 3.6.2
Package: frailtypack
Version: 3.6.2
Date: 2024-07-04
Title: Shared, Joint (Generalized) Frailty Models; Surrogate Endpoints
Depends: R (>= 3.5.0), survival, boot, MASS, survC1, doBy
Imports: statmod, nlme, shiny, rootSolve, splines
LazyLoad: no
Description: The following several classes of frailty models using a penalized likelihood estimation on the hazard function but also a parametric estimation can be fit using this R package: 1) A shared frailty model (with gamma or log-normal frailty distribution) and Cox proportional hazard model. Clustered and recurrent survival times can be studied. 2) Additive frailty models for proportional hazard models with two correlated random effects (intercept random effect with random slope). 3) Nested frailty models for hierarchically clustered data (with 2 levels of clustering) by including two iid gamma random effects. 4) Joint frailty models in the context of the joint modelling for recurrent events with terminal event for clustered data or not. A joint frailty model for two semi-competing risks and clustered data is also proposed. 5) Joint general frailty models in the context of the joint modelling for recurrent events with terminal event data with two independent frailty terms. 6) Joint Nested fra [...truncated...]
License: GPL (>= 2.0)
URL: https://virginie1rondeau.wixsite.com/virginierondeau/software-frailtypack https://frailtypack-pkg.shinyapps.io/shiny_frailtypack/
Suggests: knitr, testthat, rmarkdown, markdown
VignetteBuilder: knitr
Repository: CRAN
Date/Publication: 2024-07-07 16:10:02 UTC
Packaged: 2024-07-05 18:00:27 UTC; Quent
NeedsCompilation: yes
Author: Virginie Rondeau [aut, cre] , Juan R. Gonzalez [aut], Yassin Mazroui [aut], Audrey Mauguen [aut], Amadou Diakite [aut], Alexandre Laurent [aut], Myriam Lopez [aut], Agnieszka Krol [aut], Casimir L. Sofeu [aut], Julien Dumerc [aut], Denis Rustand [aut [...truncated...]
Maintainer: Virginie Rondeau <virginie.rondeau@u-bordeaux.fr>

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New package synthesis with initial version 1.2.5
Package: synthesis
Title: Generate Synthetic Data from Statistical Models
Version: 1.2.5
Author: Ze Jiang [aut, cre]
Maintainer: Ze Jiang <ze.jiang@unsw.edu.au>
Description: Generate synthetic time series from commonly used statistical models, including linear, nonlinear and chaotic systems. Applications to testing methods can be found in Jiang, Z., Sharma, A., & Johnson, F. (2019) <doi:10.1016/j.advwatres.2019.103430> and Jiang, Z., Sharma, A., & Johnson, F. (2020) <doi:10.1029/2019WR026962> associated with an open-source tool by Jiang, Z., Rashid, M. M., Johnson, F., & Sharma, A. (2020) <doi:10.1016/j.envsoft.2020.104907>.
Depends: R (>= 3.5.0)
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/zejiang-unsw/synthesis#readme
BugReports: https://github.com/zejiang-unsw/synthesis/issues
Imports: stats, MASS, graphics
Suggests: zoo, knitr, rmarkdown, testthat, devtools
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-06-28 22:28:48 UTC; ze
Repository: CRAN
Date/Publication: 2024-07-07 15:10:02 UTC

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Package rjsoncons updated to version 1.3.1 with previous version 1.3.0 dated 2024-04-18

Title: Query, Pivot, Patch, and Validate 'JSON' and 'NDJSON'
Description: Functions to query (filter or transform), pivot (convert from array-of-objects to object-of-arrays, for easy import as 'R' data frame), search, patch (edit), and validate (against 'JSON Schema') 'JSON' and 'NDJSON' strings, files, or URLs. Query and pivot support 'JSONpointer', 'JSONpath' or 'JMESpath' expressions. The implementation uses the 'jsoncons' <https://danielaparker.github.io/jsoncons/> header-only library; the library is easily linked to other packages for direct access to 'C++' functionality not implemented here.
Author: Martin Morgan [aut, cre] , Marcel Ramos [aut] , Daniel Parker [aut, cph]
Maintainer: Martin Morgan <mtmorgan.xyz@gmail.com>

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Package htsr updated to version 2.1.5 with previous version 2.1.4 dated 2024-01-16

Title: Hydro-Meteorology Time-Series
Description: Functions for the management and treatment of hydrology and meteorology time-series stored in a 'Sqlite' data base.
Author: Pierre Chevallier [aut, cre]
Maintainer: Pierre Chevallier <pierre.chevallier@mailo.com>

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Package clusterMI updated to version 1.2.1 with previous version 1.2 dated 2024-07-04

Title: Cluster Analysis with Missing Values by Multiple Imputation
Description: Allows clustering of incomplete observations by addressing missing values using multiple imputation. For achieving this goal, the methodology consists in three steps, following Audigier and Niang 2022 <doi:10.1007/s11634-022-00519-1>. I) Missing data imputation using dedicated models. Four multiple imputation methods are proposed, two are based on joint modelling and two are fully sequential methods, as discussed in Audigier et al. (2021) <doi:10.48550/arXiv.2106.04424>. II) cluster analysis of imputed data sets. Six clustering methods are available (distances-based or model-based), but custom methods can also be easily used. III) Partition pooling. The set of partitions is aggregated using Non-negative Matrix Factorization based method. An associated instability measure is computed by bootstrap (see Fang, Y. and Wang, J., 2012 <doi:10.1016/j.csda.2011.09.003>). Among applications, this instability measure can be used to choose a number of clusters with missing value [...truncated...]
Author: Vincent Audigier [aut, cre] , Hang Joon Kim [ctb]
Maintainer: Vincent Audigier <vincent.audigier@cnam.fr>

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Package mgi.report.reader updated to version 0.1.3 with previous version 0.1.2 dated 2024-07-05

Title: Read Mouse Genome Informatics Reports
Description: Provides readers for easy and consistent importing of Mouse Genome Informatics (MGI) report files: <https://www.informatics.jax.org/downloads/reports/index.html>. These data are provided by Baldarelli RM, Smith CL, Ringwald M, Richardson JE, Bult CJ, Mouse Genome Informatics Group (2024) <doi:10.1093/genetics/iyae031>.
Author: Ramiro Magno [aut, cre] , David Shaw [aut] , Isabel Duarte [aut] , Ismail Gbadamosi [aut] , Ali Jawaid [aut] , Nencki Institute of Experimental Biology [fnd], University of Algarve [fnd], The Jackson Laboratory [fnd], Pattern Institute [cph, fnd]
Maintainer: Ramiro Magno <rmagno@pattern.institute>

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Package hdf5r updated to version 1.3.11 with previous version 1.3.10 dated 2024-03-02

Title: Interface to the 'HDF5' Binary Data Format
Description: 'HDF5' is a data model, library and file format for storing and managing large amounts of data. This package provides a nearly feature complete, object oriented wrapper for the 'HDF5' API <https://support.hdfgroup.org/HDF5/doc/RM/RM_H5Front.html> using R6 classes. Additionally, functionality is added so that 'HDF5' objects behave very similar to their corresponding R counterparts.
Author: Holger Hoefling [aut, cre], Mario Annau [aut], Novartis Institute for BioMedical Research [cph]
Maintainer: Holger Hoefling <hhoeflin@gmail.com>

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Package deps updated to version 0.4.0 with previous version 0.3.0 dated 2024-05-21

Title: Dependency Management with 'roxygen'-Style Comments
Description: Manage your source code dependencies by decorating your existing R code with special, 'roxygen'-style comments.
Author: Peter Solymos [aut, cre] , Analythium Solutions Inc. [cph, fnd]
Maintainer: Peter Solymos <peter@analythium.io>

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Package BGVAR updated to version 2.5.7 with previous version 2.5.6 dated 2024-07-03

Title: Bayesian Global Vector Autoregressions
Description: Estimation of Bayesian Global Vector Autoregressions (BGVAR) with different prior setups and the possibility to introduce stochastic volatility. Built-in priors include the Minnesota, the stochastic search variable selection and Normal-Gamma (NG) prior. For a reference see also Crespo Cuaresma, J., Feldkircher, M. and F. Huber (2016) "Forecasting with Global Vector Autoregressive Models: a Bayesian Approach", Journal of Applied Econometrics, Vol. 31(7), pp. 1371-1391 <doi:10.1002/jae.2504>. Post-processing functions allow for doing predictions, structurally identify the model with short-run or sign-restrictions and compute impulse response functions, historical decompositions and forecast error variance decompositions. Plotting functions are also available. The package has a companion paper: Boeck, M., Feldkircher, M. and F. Huber (2022) "BGVAR: Bayesian Global Vector Autoregressions with Shrinkage Priors in R", Journal of Statistical Software, Vol. 104(9), pp. 1-28 <doi:10.18 [...truncated...]
Author: Maximilian Boeck [aut, cre] , Martin Feldkircher [aut] , Florian Huber [aut] , Darjus Hosszejni [ctb]
Maintainer: Maximilian Boeck <maximilian.boeck@unibocconi.it>

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Package UComp updated to version 5.0.2 with previous version 5.0.0 dated 2024-06-27

Title: Automatic Univariate Time Series Modelling of many Kinds
Description: Comprehensive analysis and forecasting of univariate time series using automatic time series models of many kinds. Harvey AC (1989) <doi:10.1017/CBO9781107049994>. Pedregal DJ and Young PC (2002) <doi:10.1002/9780470996430>. Durbin J and Koopman SJ (2012) <doi:10.1093/acprof:oso/9780199641178.001.0001>. Hyndman RJ, Koehler AB, Ord JK, and Snyder RD (2008) <doi:10.1007/978-3-540-71918-2>. Gómez V, Maravall A (2000) <doi:10.1002/9781118032978>. Pedregal DJ, Trapero JR and Holgado E (2024) <doi:10.1016/j.ijforecast.2023.09.004>.
Author: Diego J. Pedregal [aut, cre]
Maintainer: Diego J. Pedregal <Diego.Pedregal@uclm.es>

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Package knitr updated to version 1.48 with previous version 1.47 dated 2024-05-29

Title: A General-Purpose Package for Dynamic Report Generation in R
Description: Provides a general-purpose tool for dynamic report generation in R using Literate Programming techniques.
Author: Yihui Xie [aut, cre] , Abhraneel Sarma [ctb], Adam Vogt [ctb], Alastair Andrew [ctb], Alex Zvoleff [ctb], Amar Al-Zubaidi [ctb], Andre Simon [ctb] , Aron Atkins [ctb], Aaron Wolen [ctb], Ashley Manton [ctb], Atsushi Yasumoto [ctb] , Ben Baumer [ctb], [...truncated...]
Maintainer: Yihui Xie <xie@yihui.name>

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Package RcppRoll updated to version 0.3.1 with previous version 0.3.0 dated 2018-06-05

Title: Efficient Rolling / Windowed Operations
Description: Provides fast and efficient routines for common rolling / windowed operations. Routines for the efficient computation of windowed mean, median, sum, product, minimum, maximum, standard deviation and variance are provided.
Author: Kevin Ushey
Maintainer: Kevin Ushey <kevinushey@gmail.com>

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Package sparr updated to version 2.3-15 with previous version 2.3-10 dated 2023-03-08

Title: Spatial and Spatiotemporal Relative Risk
Description: Provides functions to estimate kernel-smoothed spatial and spatio-temporal densities and relative risk functions, and perform subsequent inference. Methodological details can be found in the accompanying tutorial: Davies et al. (2018) <DOI:10.1002/sim.7577>.
Author: Tilman M. Davies [aut, cre], Jonathan C. Marshall [aut]
Maintainer: Tilman M. Davies <tilman.davies@otago.ac.nz>

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Package rtpcr updated to version 2.0.0 with previous version 1.0.9 dated 2024-05-30

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 qgisprocess updated to version 0.4.0 with previous version 0.3.0 dated 2024-02-06

Title: Use 'QGIS' Processing Algorithms
Description: Provides seamless access to the 'QGIS' (<https://qgis.org/en/site/>) processing toolbox using the standalone 'qgis_process' command-line utility. Both native and third-party (plugin) processing providers are supported. Beside referring data sources from file, also common objects from 'sf', 'terra' and 'stars' are supported. The native processing algorithms are documented by QGIS.org (2024) <https://docs.qgis.org/latest/en/docs/user_manual/processing_algs/>.
Author: Dewey Dunnington [aut] , Floris Vanderhaeghe [aut, cre] ), Jan Caha [aut] , Jannes Muenchow [aut] , Antony Barja [ctb] , Robin Lovelace [ctb] , Jakub Nowosad [ctb] , Research Institute for Nature and Forest [cph, fnd]
Maintainer: Floris Vanderhaeghe <floris.vanderhaeghe@inbo.be>

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Package openxlsx2 updated to version 1.8 with previous version 1.7 dated 2024-06-02

Title: Read, Write and Edit 'xlsx' Files
Description: Simplifies the creation of 'xlsx' files by providing a high level interface to writing, styling and editing worksheets.
Author: Jordan Mark Barbone [aut] , Jan Marvin Garbuszus [aut, cre], Oliver Roy [ctb], openxlsx authors [cph] , Arseny Kapoulkine [ctb, cph]
Maintainer: Jan Marvin Garbuszus <jan.garbuszus@ruhr-uni-bochum.de>

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Package FuzzySTs updated to version 0.3 with previous version 0.2 dated 2020-11-23

Title: Fuzzy Statistical Tools
Description: The main goal of this package is to present various fuzzy statistical tools. It intends to provide an implementation of the theoretical and empirical approaches presented in the book entitled "The signed distance measure in fuzzy statistical analysis. Some theoretical, empirical and programming advances" <doi: 10.1007/978-3-030-76916-1>. For the theoretical approaches, see Berkachy R. and Donze L. (2019) <doi:10.1007/978-3-030-03368-2_1>. For the empirical approaches, see Berkachy R. and Donze L. (2016) <ISBN: 978-989-758-201-1>). Important (non-exhaustive) implementation highlights of this package are as follows: (1) a numerical procedure to estimate the fuzzy difference and the fuzzy square. (2) two numerical methods of fuzzification. (3) a function performing different possibilities of distances, including the signed distance and the generalized signed distance for instance with all its properties. (4) numerical estimations of fuzzy statistical measures such as the [...truncated...]
Author: Redina Berkachy <redina.berkachy@unifr.ch>, Laurent Donze <laurent.donze@unifr.ch>
Maintainer: Redina Berkachy <redina.berkachy@hefr.ch>

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Package betareg updated to version 3.2-0 with previous version 3.1-4 dated 2021-02-09

Title: Beta Regression
Description: Beta regression for modeling beta-distributed dependent variables on the open unit interval (0, 1), e.g., rates and proportions, see Cribari-Neto and Zeileis (2010) <doi:10.18637/jss.v034.i02>. Moreover, extended-support beta regression models can accommodate dependent variables with boundary observations at 0 and/or 1. For the classical beta regression model, alternative specifications are provided: Bias-corrected and bias-reduced estimation, finite mixture models, and recursive partitioning for beta regression, see Grün, Kosmidis, and Zeileis (2012) <doi:10.18637/jss.v048.i11>.
Author: Achim Zeileis [aut, cre] , Francisco Cribari-Neto [aut] , Bettina Gruen [aut] , Ioannis Kosmidis [aut] , Alexandre B. Simas [ctb] , Andrea V. Rocha [ctb]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

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Package ReDaMoR updated to version 0.7.6 with previous version 0.7.4 dated 2024-02-07

Title: Relational Data Modeler
Description: The aim of this package is to manipulate relational data models in R. It provides functions to create, modify and export data models in json format. It also allows importing models created with 'MySQL Workbench' (<https://www.mysql.com/products/workbench/>). These functions are accessible through a graphical user interface made with 'shiny'. Constraints such as types, keys, uniqueness and mandatory fields are automatically checked and corrected when editing a model. Finally, real data can be confronted to a model to check their compatibility.
Author: Patrice Godard [aut, cre, cph], Kai Lin [ctb]
Maintainer: Patrice Godard <patrice.godard@gmail.com>

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Package globalKinhom updated to version 0.1.8 with previous version 0.1.7 dated 2023-12-12

Title: Inhomogeneous K- And Pair Correlation Functions Using Global Estimators
Description: Second-order summary statistics K- and pair-correlation functions describe interactions in point pattern data. This package provides computations to estimate those statistics on inhomogeneous point processes, using the methods of in T Shaw, J Møller, R Waagepetersen, 2020 <doi:10.48550/arXiv.2004.00527>.
Author: Thomas Shaw [aut, cre], Ege Rubak [ctb], Adrian Baddeley [ctb], Rolf Turner [ctb]
Maintainer: Thomas Shaw <tshaw20@utk.edu>

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Package constructive updated to version 1.0.1 with previous version 1.0.0 dated 2024-07-02

Title: Display Idiomatic Code to Construct Most R Objects
Description: Prints code that can be used to recreate R objects. In a sense it is similar to 'base::dput()' or 'base::deparse()' but 'constructive' strives to use idiomatic constructors.
Author: Antoine Fabri [aut, cre], Kirill Mueller [ctb]
Maintainer: Antoine Fabri <antoine.fabri@gmail.com>

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Package simpletex updated to version 1.0.4 with previous version 1.0.3 dated 2024-06-27

Title: Mathematical Formulas and Character Recognition
Description: By calling the 'SimpleTex' <https://simpletex.cn/> open API implements text and mathematical formula recognition on the image, and the output formula can be used directly with 'Markdown' and 'LaTeX'.
Author: Xinyuan Chu [aut, cre]
Maintainer: Xinyuan Chu <chuxinyuan@outlook.com>

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Package mvord updated to version 1.2.4 with previous version 1.2.2 dated 2024-02-27

Title: Multivariate Ordinal Regression Models
Description: A flexible framework for fitting multivariate ordinal regression models with composite likelihood methods. Methodological details are given in Hirk, Hornik, Vana (2020) <doi:10.18637/jss.v093.i04>.
Author: Rainer Hirk [aut, cre], Kurt Hornik [aut], Laura Vana [aut], Alan Genz [ctb]
Maintainer: Laura Vana <laura.vana@tuwien.ac.at>

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Package LadderFuelsR updated to version 0.0.5 with previous version 0.0.4 dated 2024-03-18

Title: Automated Tool for Vertical Fuel Continuity Analysis using Airborne Laser Scanning Data
Description: Set of tools for analyzing vertical fuel continuity at the tree level using Airborne Laser Scanning data. The workflow consisted of: 1) calculating the vertical height profiles of each segmented tree; 2) identifying gaps and fuel layers; 3) estimating the distance between fuel layers; and 4) retrieving the fuel layers base height and depth. Additionally, other functions recalculate previous metrics after considering distances greater than certain threshold. Moreover, the package calculates: i) the percentage of Leaf Area Density comprised in each fuel layer, ii) remove fuel layers with Leaf Area Density (LAD) percentage less than 10, and iii) recalculate the distances among the reminder ones. On the other hand, it identifies the crown base height (CBH) based on different criteria: the fuel layer with the highest LAD percentage and the fuel layers located at the largest- and at the last-distance. When there is only one fuel layer, it also identifies the CBH performing a segmented linear [...truncated...]
Author: Olga Viedma [aut, cph, cre], Carlos Alberto Silva [aut, cph], Jose Manuel Moreno [aut, cph], Andrew T. Hudak [aut, cph]
Maintainer: Olga Viedma <olga.viedma@uclm.es>

Diff between LadderFuelsR versions 0.0.4 dated 2024-03-18 and 0.0.5 dated 2024-07-07

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More information about LadderFuelsR at CRAN
Permanent link

Package cdcsis updated to version 2.0.4 with previous version 2.0.3 dated 2019-07-10

Title: Conditional Distance Correlation Based Feature Screening and Conditional Independence Inference
Description: Conditional distance correlation <doi:10.1080/01621459.2014.993081> is a novel conditional dependence measurement of two multivariate random variables given a confounding variable. This package provides conditional distance correlation, performs the conditional distance correlation sure independence screening procedure for ultrahigh dimensional data <https://www3.stat.sinica.edu.tw/statistica/J28N1/J28N114/J28N114.html>, and conducts conditional distance covariance test for conditional independence assumption of two multivariate variable.
Author: Wenhao Hu, Mian Huang, Wenliang Pan, Xueqin Wang, Canhong Wen, Yuan Tian, Heping Zhang, Jin Zhu
Maintainer: Jin Zhu <zhuj37@mail2.sysu.edu.cn>

Diff between cdcsis versions 2.0.3 dated 2019-07-10 and 2.0.4 dated 2024-07-07

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More information about cdcsis at CRAN
Permanent link


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