Fri, 12 May 2023

Package tzdb updated to version 0.4.0 with previous version 0.3.0 dated 2022-03-28

Title: Time Zone Database Information
Description: Provides an up-to-date copy of the Internet Assigned Numbers Authority (IANA) Time Zone Database. It is updated periodically to reflect changes made by political bodies to time zone boundaries, UTC offsets, and daylight saving time rules. Additionally, this package provides a C++ interface for working with the 'date' library. 'date' provides comprehensive support for working with dates and date-times, which this package exposes to make it easier for other R packages to utilize. Headers are provided for calendar specific calculations, along with a limited interface for time zone manipulations.
Author: Davis Vaughan [aut, cre], Howard Hinnant [cph] , Posit Software, PBC [cph, fnd]
Maintainer: Davis Vaughan <davis@posit.co>

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Package tutorial.helpers updated to version 0.2.3 with previous version 0.2.2 dated 2023-05-08

Title: Helper Functions for Creating Tutorials
Description: Helper functions for creating, editing, and testing tutorials created with the 'learnr' package. Provides a simple method for allowing students to download their answers to tutorial questions. For examples of its use, see the 'r4ds.tutorials' and 'all.primer.tutorials' packages.
Author: David Kane [aut, cre, cph]
Maintainer: David Kane <dave.kane@gmail.com>

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Package MCMCvis updated to version 0.16.0 with previous version 0.15.5 dated 2022-02-08

Title: Tools to Visualize, Manipulate, and Summarize MCMC Output
Description: Performs key functions for MCMC analysis using minimal code - visualizes, manipulates, and summarizes MCMC output. Functions support simple and straightforward subsetting of model parameters within the calls, and produce presentable and 'publication-ready' output. MCMC output may be derived from Bayesian model output fit with 'Stan', 'NIMBLE', 'JAGS', and other software.
Author: Casey Youngflesh [aut, cre] , Christian Che-Castaldo [aut] , Tyler Hardy [ctb]
Maintainer: Casey Youngflesh <caseyyoungflesh@gmail.com>

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Package coloc updated to version 5.2.2 with previous version 5.1.0.1 dated 2022-07-05

Title: Colocalisation Tests of Two Genetic Traits
Description: Performs the colocalisation tests described in Giambartolomei et al (2013) <doi:10.1371/journal.pgen.1004383>, Wallace (2020) <doi:10.1371/journal.pgen.1008720>, Wallace (2021) <doi:10.1371/journal.pgen.1009440>.
Author: Chris Wallace [aut, cre], Claudia Giambartolomei [aut], Vincent Plagnol [ctb]
Maintainer: Chris Wallace <cew54@cam.ac.uk>

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Package softbib updated to version 0.0.2 with previous version 0.0.1 dated 2023-04-03

Title: Software Bibliographies for R Projects
Description: Detect libraries used in a project and automatically create software bibliographies in 'PDF', 'Word', 'Rmarkdown', and 'BibTeX' formats.
Author: Vincent Arel-Bundock [aut, cre, cph]
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>

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Package pollster updated to version 0.1.6 with previous version 0.1.5 dated 2023-04-25

Title: Calculate Crosstab and Topline Tables of Weighted Survey Data
Description: Calculate common types of tables for weighted survey data. Options include topline and (2-way and 3-way) crosstab tables of categorical or ordinal data as well as summary tables of weighted numeric variables. Optionally, include the margin of error at selected confidence intervals including the design effect. The design effect is calculated as described by Kish (1965) <doi:10.1002/bimj.19680100122> beginning on page 257. Output takes the form of tibbles (simple data frames). This package conveniently handles labelled data, such as that commonly used by 'Stata' and 'SPSS.' Complex survey design is not supported at this time.
Author: John D. Johnson [aut, cre]
Maintainer: John D. Johnson <john.d.johnson@marquette.edu>

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Package RVIpkg updated to version 0.3.2 with previous version 0.3.1 dated 2022-09-23

Title: Regional Vulnerability Index
Description: The Regional Vulnerability Index (RVI), a statistical measure of brain structural abnormality, quantifies an individual's similarity to the expected pattern (effect size) of deficits in schizophrenia (Kochunov P, Fan F, Ryan MC, et al. (2020) <doi:10.1002/hbm.25045>).
Author: Si Gao [aut, cre, dtc] , Peter Kochunov [aut, dtc, cph, fnd] , Kathryn Hatch [ctb, dtc] , Yizhou Ma [ctb, dtc] , Fatima Talib [ctb]
Maintainer: Si Gao <sgao@som.umaryland.edu>

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Package reporter updated to version 1.4.1 with previous version 1.3.9 dated 2023-03-17

Title: Creates Statistical Reports
Description: Contains functions to create regulatory-style statistical reports. Originally designed to create tables, listings, and figures for the pharmaceutical, biotechnology, and medical device industries, these reports are generalized enough that they could be used in any industry. Generates text, rich-text, PDF, HTML, and Microsoft Word file formats. The package specializes in printing wide and long tables with automatic page wrapping and splitting. Reports can be produced with a minimum of function calls, and without relying on other table packages. The package supports titles, footnotes, page header, page footers, spanning headers, page by variables, and automatic page numbering.
Author: David Bosak [aut, cre], Kevin Kramer [ctb], Duong Tran [ctb], Raphael Huang [ctb], Archytas Clinical Solutions [cph]
Maintainer: David Bosak <dbosak01@gmail.com>

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Package photobiologyPlants updated to version 0.4.3 with previous version 0.4.2 dated 2019-06-14

Title: Plant Photobiology Related Functions and Data
Description: Provides functions for quantifying visible (VIS) and ultraviolet (UV) radiation in relation to the photoreceptors Phytochromes, Cryptochromes, and UVR8 which are present in plants. It also includes data sets on the optical properties of plants. Part of the 'r4photobiology' suite, Aphalo P. J. (2015) <doi:10.19232/uv4pb.2015.1.14>.
Author: Pedro J. Aphalo [aut, cre]
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>

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Package viking updated to version 1.0.1 with previous version 1.0.0 dated 2022-10-07

Title: State-Space Models Inference by Kalman or Viking
Description: Inference methods for state-space models, relying on the Kalman Filter or on Viking (Variational Bayesian VarIance tracKING). See J. de Vilmarest (2022) <https://theses.hal.science/tel-03716104/>.
Author: Joseph de Vilmarest [aut, cre]
Maintainer: Joseph de Vilmarest <joseph.de-vilmarest@vikingconseil.fr>

Diff between viking versions 1.0.0 dated 2022-10-07 and 1.0.1 dated 2023-05-12

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New package traitstrap with initial version 0.1.0
Package: traitstrap
Title: Bootstrap Trait Values to Calculate Moments
Version: 0.1.0
Description: Calculates trait moments from trait and community data using the methods developed in Maitner et al (2021) <doi:10.22541/au.162196147.76797968/v1>.
URL: https://github.com/Plant-Functional-Trait-Course/traitstrap/
BugReports: https://github.com/Plant-Functional-Trait-Course/traitstrap/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.2.0)
Imports: dplyr (>= 1.0.0), purrr, rlang, e1071, glue, ggplot2, tibble, stringr, fitdistrplus, tidyr
Suggests: testthat, knitr, rmarkdown, FD, TPD
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-05-11 11:10:37 UTC; gbsrt
Author: Richard J. Telford [aut, cre] , Aud H. Halbritter [aut] , Brian S. Maitner [aut]
Maintainer: Richard J. Telford <richard.telford@uib.no>
Repository: CRAN
Date/Publication: 2023-05-12 14:10:02 UTC

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New package Tex4exams with initial version 0.1.2
Package: Tex4exams
Title: Generating 'Sweave' Code for 'R/exams' Questions in Mathematics
Version: 0.1.2
Description: When using the R package 'exams' to write mathematics questions in 'Sweave' files, the output of a lot of R functions need to be adjusted for display in mathematical formulas. Specifically, the functions were accumulated when writing questions for the topics of the mathematics courses College Algebra, Precalculus, Calculus, Differential Equations, Introduction to Probability, and Linear Algebra. The output of the developed functions can be used in 'Sweave' files.
Depends: numbers, fractional, pracma, polynom
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-05-11 14:16:21 UTC; Hu
Author: Qingwen Hu [aut, cre, cph]
Maintainer: Qingwen Hu <huqwen@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-12 14:20:02 UTC

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New package RTSA with initial version 0.1.0
Package: RTSA
Title: 'Trial Sequential Analysis' for Error Control and Inference in Sequential Meta-Analyses
Version: 0.1.0
Description: Frequentist meta-analysis and sequential meta-analysis based on 'Trial Sequential Analysis' (TSA) by Copenhagen Trial Unit (CTU). Primary usage is the calculation of group sequential designs for meta-analysis to be used for planning and analysis of both prospective and retrospective sequential meta-analyses to preserve type-I-error control under sequential testing. 'RTSA' includes tools for sample and trial size calculation for meta-analysis and core meta-analyses methods such as fixed-effect and random-effects models and forest plots. TSA is described in Wetterslev et. al (2008) <doi:10.1016/j.jclinepi.2007.03.013>. The methods for deriving the group sequential designs are based on Jennison and Turnbull (1999, ISBN:9780849303166).
License: GPL (>= 2)
Imports: stats, metafor, ggplot2, scales, Rcpp (>= 0.11.0)
LinkingTo: Rcpp
Encoding: UTF-8
Depends: R (>= 3.5.0)
LazyData: true
Suggests: gsDesign, CompQuadForm, dplyr, kableExtra, rmarkdown, knitr, bookdown, gridExtra
VignetteBuilder: knitr, bookdown
NeedsCompilation: yes
Packaged: 2023-05-11 17:26:32 UTC; anne
Author: Anne Lyngholm Soerensen [aut, cre]
Maintainer: Anne Lyngholm Soerensen <lynganne@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-12 14:30:11 UTC

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Package rhino updated to version 1.3.1 with previous version 1.3.0 dated 2022-12-22

Title: A Framework for Enterprise Shiny Applications
Description: A framework that supports creating and extending enterprise Shiny applications using best practices.
Author: Kamil Zyla [aut, cre], Jakub Nowicki [aut], Leszek Sieminski [aut], Marek Rogala [aut], Recle Vibal [aut], Tymoteusz Makowski [aut], Appsilon Sp. z o.o. [cph]
Maintainer: Kamil Zyla <opensource+kamil@appsilon.com>

Diff between rhino versions 1.3.0 dated 2022-12-22 and 1.3.1 dated 2023-05-12

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Package pdqr updated to version 0.3.1 with previous version 0.3.0 dated 2021-01-21

Title: Work with Custom Distribution Functions
Description: Create, transform, and summarize custom random variables with distribution functions (analogues of 'p*()', 'd*()', 'q*()', and 'r*()' functions from base R). Two types of distributions are supported: "discrete" (random variable has finite number of output values) and "continuous" (infinite number of values in the form of continuous random variable). Functions for distribution transformations and summaries are available. Implemented approaches often emphasize approximate and numerical solutions: all distributions assume finite support and finite values of density function; some methods implemented with simulation techniques.
Author: Evgeni Chasnovski [aut, cre]
Maintainer: Evgeni Chasnovski <evgeni.chasnovski@gmail.com>

Diff between pdqr versions 0.3.0 dated 2021-01-21 and 0.3.1 dated 2023-05-12

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New package mnmer with initial version 0.99.1
Package: mnmer
Title: '(m,n)-mer' - A Simple Statistical Feature for Sequence Classification
Version: 0.99.1
Description: The (m,n)-mer is a statistical feature calculated from conditional frequency distributions obtained from a FASTA file. The resulting table, along with class information, is used to create the classification feature matrix. For more information on this method and its benchmarking results, refer to Andrade et al.'s upcoming publication titled "(m,n)-mer - A Simple Statistical Feature for Sequence Classification".
License: Artistic-2.0
Encoding: UTF-8
LinkingTo: cpp11
VignetteBuilder: knitr
Suggests: BiocStyle, covr, knitr, rmarkdown, testthat (>= 3.0.0), caret, MLeval, randomForest
Depends: R(>= 4.1.0), utils, Biostrings
NeedsCompilation: yes
Packaged: 2023-05-11 18:04:19 UTC; tavinbio
Author: Amanda Andrade [cre, aut] , Marco Grivet [aut] , Otavio Brustolini [aut] , Ana Vasconcelos [aut, ths]
Maintainer: Amanda Andrade <aandradebio@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-12 14:30:05 UTC

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New package jewel with initial version 2.0.0
Package: jewel
Title: Graphical Models Estimation from Multiple Sources
Version: 2.0.0
Description: Estimates networks of conditional dependencies (Gaussian graphical models) from multiple classes of data (similar but not exactly, i.e. measurements on different equipment, in different locations or for various sub-types). Package also allows to generate simulation data and evaluate the performance. Implementation of the method described in Angelini, De Canditiis and Plaksienko (2022) <doi:10.3390/math10213983>.
Depends: R (>= 3.6.0)
Imports: Matrix, matrixcalc, MASS, SMUT, igraph, parallel, purrr
URL: https://github.com/annaplaksienko/jewel
License: GPL-2
Encoding: UTF-8
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-05-11 19:10:54 UTC; annapla
Author: Anna Plaksienko [aut, cre] , Claudia Angelini [aut] , Daniela De Canditiis [aut]
Maintainer: Anna Plaksienko <anna@plaxienko.com>
Repository: CRAN
Date/Publication: 2023-05-12 14:30:08 UTC

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New package rchemo with initial version 0.1-1
Package: rchemo
Title: Dimension Reduction, Regression and Discrimination for Chemometrics
Version: 0.1-1
Description: Data exploration and prediction with focus on high dimensional data and chemometrics. The package was initially designed about partial least squares regression and discrimination models and variants, in particular locally weighted PLS models (LWPLS). Then, it has been expanded to many other methods for analyzing high dimensional data. The name 'rchemo' comes from the fact that the package is orientated to chemometrics, but most of the provided methods are fully generic to other domains. Functions such as transform(), predict(), coef() and summary() are available. Tuning the predictive models is facilitated by generic functions gridscore() (validation dataset) and gridcv() (cross-validation). Faster versions are also available for models based on latent variables (LVs) (gridscorelv() and gridcvlv()) and ridge regularization (gridscorelb() and gridcvlb()).
Imports: stats, graphics, grDevices, data.table, FNN, signal, e1071
Depends: R (>= 4.0)
Suggests: knitr, rmarkdown
URL: https://github.com/ChemHouse-group/rchemo/
License: GPL-3
LazyData: yes
NeedsCompilation: no
Packaged: 2023-05-11 10:15:36 UTC; mbrandolini
Author: Marion Brandolini-Bunlon [aut, cre], Benoit Jaillais [aut], Jean-Michel Roger [aut], Matthieu Lesnoff [aut]
Maintainer: Marion Brandolini-Bunlon <marion.brandolini-bunlon@inrae.fr>
Repository: CRAN
Date/Publication: 2023-05-12 14:00:02 UTC

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Package mapiso updated to version 0.3.0 with previous version 0.2.0 dated 2022-09-08

Title: Create Contour Polygons from Regular Grids
Description: Regularly spaced grids containing continuous data are transformed to contour polygons. A grid can be defined by a data.frame (x, y, value), an 'sf' object or a raster from 'terra'.
Author: Timothee Giraud [cre, aut]
Maintainer: Timothee Giraud <timothee.giraud@cnrs.fr>

Diff between mapiso versions 0.2.0 dated 2022-09-08 and 0.3.0 dated 2023-05-12

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Package mlr3misc updated to version 0.12.0 with previous version 0.11.0 dated 2022-09-22

Title: Helper Functions for 'mlr3'
Description: Frequently used helper functions and assertions used in 'mlr3' and its companion packages. Comes with helper functions for functional programming, for printing, to work with 'data.table', as well as some generally useful 'R6' classes. This package also supersedes the package 'BBmisc'.
Author: Michel Lang [cre, aut] , Patrick Schratz [aut]
Maintainer: Michel Lang <michellang@gmail.com>

Diff between mlr3misc versions 0.11.0 dated 2022-09-22 and 0.12.0 dated 2023-05-12

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Package lpacf updated to version 1.0.1 with previous version 1.0 dated 2023-04-14

Title: Local Partial Autocorrelation Function Estimation for Locally Stationary Wavelet Processes
Description: Provides the method for computing the local partial autocorrelation function for locally stationary wavelet time series from Killick, Knight, Nason, Eckley (2020) <doi:10.1214/20-EJS1748>.
Author: Rebecca Killick [aut, cre], Guy Nason [aut], Marina Knight [aut], Matt Nunes [aut], Idris Eckley [ctb]
Maintainer: Rebecca Killick <r.killick@lancs.ac.uk>

Diff between lpacf versions 1.0 dated 2023-04-14 and 1.0.1 dated 2023-05-12

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Package ssifs updated to version 1.0.2 with previous version 1.0.1 dated 2023-05-08

Title: Stochastic Search Inconsistency Factor Selection
Description: Evaluating the consistency assumption of Network Meta-Analysis both globally and locally in the Bayesian framework. Inconsistencies are located by applying Bayesian variable selection to the inconsistency factors. The implementation of the method is described by Seitidis et al. (2022) <arXiv:2211.07258>.
Author: Georgios Seitidis [aut, cre] , Stavros Nikolakopoulos [aut] , Ioannis Ntzoufras [aut] , Dimitris Mavridis [aut]
Maintainer: Georgios Seitidis <g.seitidis@uoi.gr>

Diff between ssifs versions 1.0.1 dated 2023-05-08 and 1.0.2 dated 2023-05-12

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Package micEconDistRay updated to version 0.1-2 with previous version 0.1-0 dated 2023-05-08

Title: Econometric Production Analysis with Ray-Based Distance Functions
Description: Econometric analysis of multiple-input-multiple-output production technologies with ray-based input distance functions as suggested by Price and Henningsen (2022): "A Ray-Based Input Distance Function to Model Zero-Valued Output Quantities: Derivation and an Empirical Application", <https://ideas.repec.org/p/foi/wpaper/2022_03.html>.
Author: Arne Henningsen [aut, cre], Juan Jose Price [aut]
Maintainer: Arne Henningsen <arne.henningsen@gmail.com>

Diff between micEconDistRay versions 0.1-0 dated 2023-05-08 and 0.1-2 dated 2023-05-12

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Package PNAR updated to version 1.4 with previous version 1.3 dated 2022-11-02

Title: Poisson Network Autoregressive Models
Description: Quasi likelihood-based methods for estimating Poisson Network Autoregression with p lags, PNAR, following generalized linear models are provided. PNAR models with the identity and with the logarithmic link function are allowed. The inclusion of exogenous covariates is also possible. Moreover, it provides tools for testing the linearity of linear PNAR model versus several nonlinear alternatives. Finally, it allows generating multivariate count distributions, from linear and nonlinear PNAR models, where the dependence between Poisson random variables is generated by suitable copulas. References include: Armillotta, M. and K. Fokianos (2022a). Poisson network autoregression. <arXiv:2104.06296>. Armillotta, M. and K. Fokianos (2022b). Testing linearity for network autoregressive models. <arXiv:2202.03852>. Armillotta, M., Tsagris, M. and Fokianos, K. (2022c). The R-package PNAR for modelling count network time series. <arXiv:2211.02582>.
Author: Michail Tsagris [aut, cre], Mirko Armillotta [aut, cph], Konstantinos Fokianos [aut]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

Diff between PNAR versions 1.3 dated 2022-11-02 and 1.4 dated 2023-05-12

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Package pathfindR updated to version 2.1.0 with previous version 2.0.1 dated 2023-05-10

Title: Enrichment Analysis Utilizing Active Subnetworks
Description: Enrichment analysis enables researchers to uncover mechanisms underlying a phenotype. However, conventional methods for enrichment analysis do not take into account protein-protein interaction information, resulting in incomplete conclusions. pathfindR is a tool for enrichment analysis utilizing active subnetworks. The main function identifies active subnetworks in a protein-protein interaction network using a user-provided list of genes and associated p values. It then performs enrichment analyses on the identified subnetworks, identifying enriched terms (i.e. pathways or, more broadly, gene sets) that possibly underlie the phenotype of interest. pathfindR also offers functionalities to cluster the enriched terms and identify representative terms in each cluster, to score the enriched terms per sample and to visualize analysis results. The enrichment, clustering and other methods implemented in pathfindR are described in detail in Ulgen E, Ozisik O, Sezerman OU. 2019. pathfindR: An R [...truncated...]
Author: Ege Ulgen [cre, cph] , Ozan Ozisik [aut]
Maintainer: Ege Ulgen <egeulgen@gmail.com>

Diff between pathfindR versions 2.0.1 dated 2023-05-10 and 2.1.0 dated 2023-05-12

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Package bandsfdp updated to version 1.1.0 with previous version 1.0.0 dated 2023-03-15

Title: Compute Upper Prediction Bounds on the FDP in Competition-Based Setups
Description: Implements functions that calculate upper prediction bounds on the false discovery proportion (FDP) in the list of discoveries returned by competition-based setups, implementing Ebadi et al. (2022) <arXiv:2302.11837>. Such setups include target-decoy competition (TDC) in computational mass spectrometry and the knockoff construction in linear regression (note this package typically uses the terminology of TDC). Included is the standardized (TDC-SB) and uniform (TDC-UB) bound on TDC's FDP, and the simultaneous standardized and uniform bands. Requires pre-computed Monte Carlo statistics available at <https://github.com/uni-Arya/fdpbandsdata>. This data can be downloaded by running the command 'devtools::install_github("uni-Arya/fdpbandsdata")' in R and restarting R after installation. The size of this data is roughly 81Mb.
Author: Arya Ebadi [aut, cre], Dong Luo [aut], Jack Freestone [aut], William Stafford Noble [aut], Uri Keich [aut]
Maintainer: Arya Ebadi <aeba3842@uni.sydney.edu.au>

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Package genscore updated to version 1.0.2.1 with previous version 1.0.2 dated 2020-04-27

Title: Generalized Score Matching Estimators
Description: Implementation of the Generalized Score Matching estimator in Yu et al. (2019) <https://jmlr.org/papers/v20/18-278.html> for non-negative graphical models (truncated Gaussian, exponential square-root, gamma, a-b models) and univariate truncated Gaussian distributions. Also includes the original estimator for untruncated Gaussian graphical models from Lin et al. (2016) <doi:10.1214/16-EJS1126>, with the addition of a diagonal multiplier.
Author: Shiqing Yu, Lina Lin, Wally Gilks
Maintainer: Shiqing Yu <syu.phd@gmail.com>

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Package confintr updated to version 1.0.1 with previous version 1.0.0 dated 2023-04-15

Title: Confidence Intervals
Description: Calculates classic and/or bootstrap confidence intervals for many parameters such as the population mean, variance, interquartile range (IQR), median absolute deviation (MAD), skewness, kurtosis, Cramer's V, odds ratio, R-squared, quantiles (incl. median), proportions, different types of correlation measures, difference in means, quantiles and medians. Many of the classic confidence intervals are described in Smithson, M. (2003, ISBN: 978-0761924999). Bootstrap confidence intervals are calculated with the R package 'boot'. Both one- and two-sided intervals are supported.
Author: Michael Mayer [aut, cre]
Maintainer: Michael Mayer <mayermichael79@gmail.com>

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