Sun, 06 Oct 2024

Package L1centrality updated to version 0.3.0 with previous version 0.2.1 dated 2024-09-03

Title: Graph/Network Analysis Based on L1 Centrality
Description: Analyze graph/network data using L1 centrality and prestige. Functions for deriving global, local, and group L1 centrality/prestige are provided. Routines for visual inspection of a graph/network are also provided. Details are in Kang and Oh (2024a) <doi:10.48550/arXiv.2404.13233> and Kang and Oh (2024b) <doi:10.48550/arXiv.2408.12078>.
Author: Seungwoo Kang [aut, cre] , Hee-Seok Oh [aut]
Maintainer: Seungwoo Kang <kangsw0401@snu.ac.kr>

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Package tidysq updated to version 1.2.1 with previous version 1.1.3 dated 2022-01-31

Title: Tidy Processing and Analysis of Biological Sequences
Description: A tidy approach to analysis of biological sequences. All processing and data-storage functions are heavily optimized to allow the fastest and most efficient data storage.
Author: Dominik Rafacz [cre, aut] , Michal Burdukiewicz [aut] , Laura Bakala [aut], Leon Eyrich Jessen [ctb] , Stefan Roediger [ctb] , Jadwiga Slowik [ctb] , Weronika Puchala [ctb] , Katarzyna Sidorczuk [ctb], Filip Pietluch [ctb], Jaroslaw Chilimoniuk [ctb] [...truncated...]
Maintainer: Dominik Rafacz <dominikrafacz@gmail.com>

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Package ggsoccer updated to version 0.2.0 with previous version 0.1.7 dated 2022-12-16

Title: Plot Soccer Event Data
Description: The 'ggplot2' package provides a powerful set of tools for visualising and investigating data. The 'ggsoccer' package provides a set of functions for elegantly displaying and exploring soccer event data with 'ggplot2'. Providing extensible layers and themes, it is designed to work smoothly with a variety of popular sports data providers.
Author: Ben Torvaney [aut, cre]
Maintainer: Ben Torvaney <torvaney@protonmail.com>

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Package khisr updated to version 1.0.6 with previous version 1.0.5 dated 2024-06-27

Title: An R Client to Retrieve Data from DHIS2
Description: Provides a user-friendly interface for interacting with the District Health Information Software 2 (DHIS2) instance. It streamlines data retrieval, empowering researchers, analysts, and healthcare professionals to obtain and utilize data efficiently.
Author: David Kariuki [aut, cre, cph]
Maintainer: David Kariuki <hello@damurka.com>

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Package shinyCox updated to version 1.1.1 with previous version 1.1.0 dated 2024-05-29

Title: Create 'shiny' Applications for Cox Proportional Hazards Models
Description: Takes one or more fitted Cox proportional hazards models and writes a 'shiny' application to a directory specified by the user. The 'shiny' application displays predicted survival curves based on user input, and contains none of the original data used to create the Cox model or models. The goal is towards visualization and presentation of predicted survival curves.
Author: Harrison Clement [aut, cre], Subodh Selukar [aut], Stanley Pounds [aut], St Jude Children's Research Hospital [fnd]
Maintainer: Harrison Clement <harrisonclement16@gmail.com>

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Package SGP updated to version 2.2-0.0 with previous version 2.1-0.0 dated 2023-10-23

Title: Student Growth Percentiles & Percentile Growth Trajectories
Description: An analytic framework for the calculation of norm- and criterion-referenced academic growth estimates using large scale, longitudinal education assessment data as developed in Betebenner (2009) <doi:10.1111/j.1745-3992.2009.00161.x>.
Author: Damian W. Betebenner [aut, cre], Adam R. Van Iwaarden [aut], Ben Domingue [aut], Yi Shang [aut], Jonathan Weeks [ctb], John Stewart [ctb], Jinnie Choi [ctb], Xin Wei [ctb], Hi Shin Shim [ctb], Xiaoyuan Tan [ctb] , Carrie Giovannini [ctb] , Sarah Pola [...truncated...]
Maintainer: Damian W. Betebenner <dbetebenner@nciea.org>

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Package qgisprocess updated to version 0.4.1 with previous version 0.4.0 dated 2024-07-07

Title: Use 'QGIS' Processing Algorithms
Description: Provides seamless access to the 'QGIS' (<https://qgis.org>) 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 incidence2 updated to version 2.5.0 with previous version 2.4.0 dated 2024-09-02

Title: Compute, Handle and Plot Incidence of Dated Events
Description: Provides functions and classes to compute, handle and visualise incidence from dated events for a defined time interval. Dates can be provided in various standard formats. The class 'incidence2' is used to store computed incidence and can be easily manipulated, subsetted, and plotted. This package is part of the RECON (<https://www.repidemicsconsortium.org/>) toolkit for outbreak analysis (<https://www.reconverse.org>).
Author: Tim Taylor [aut, cre] , Thibaut Jombart [ctb]
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>

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Package cocorresp updated to version 0.4-5 with previous version 0.4-4 dated 2024-02-26

Title: Co-Correspondence Analysis Methods
Description: Fits predictive and symmetric co-correspondence analysis (CoCA) models to relate one data matrix to another data matrix. More specifically, CoCA maximises the weighted covariance between the weighted averaged species scores of one community and the weighted averaged species scores of another community. CoCA attempts to find patterns that are common to both communities.
Author: Gavin L. Simpson [aut, cre, trl] , Cajo J.F. ter Braak [aut] , Andre P Schaffers [aut] , Ron Wehrens [aut] ), Bjorn-Helge Mevik [aut] )
Maintainer: Gavin L. Simpson <ucfagls@gmail.com>

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Package fqar updated to version 0.5.4 with previous version 0.5.3 dated 2024-04-13

Title: Floristic Quality Assessment Tools for R
Description: Tools for downloading and analyzing floristic quality assessment data. See Freyman et al. (2015) <doi:10.1111/2041-210X.12491> for more information about floristic quality assessment and the associated database.
Author: Andrew Gard [aut, cre] , Alexia Myers [aut], Irene Luwabelwa [aut]
Maintainer: Andrew Gard <agard@lakeforest.edu>

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Package HiDimDA updated to version 0.2-7 with previous version 0.2-6 dated 2024-02-25

Title: High Dimensional Discriminant Analysis
Description: Performs linear discriminant analysis in high dimensional problems based on reliable covariance estimators for problems with (many) more variables than observations. Includes routines for classifier training, prediction, cross-validation and variable selection.
Author: Antonio Pedro Duarte Silva [aut, cre]
Maintainer: Antonio Pedro Duarte Silva <psilva@ucp.pt>

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Package statnet.common updated to version 4.10.0 with previous version 4.9.0 dated 2023-05-24

Title: Common R Scripts and Utilities Used by the Statnet Project Software
Description: Non-statistical utilities used by the software developed by the Statnet Project. They may also be of use to others.
Author: Pavel N. Krivitsky [aut, cre] , Skye Bender-deMoll [ctb], Chad Klumb [ctb]
Maintainer: Pavel N. Krivitsky <pavel@statnet.org>

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Package beastier updated to version 2.5.2 with previous version 2.5.1 dated 2024-06-04

Title: Call 'BEAST2'
Description: 'BEAST2' (<https://www.beast2.org>) is a widely used Bayesian phylogenetic tool, that uses DNA/RNA/protein data and many model priors to create a posterior of jointly estimated phylogenies and parameters. 'BEAST2' is a command-line tool. This package provides a way to call 'BEAST2' from an 'R' function call.
Author: Richel J.C. Bilderbeek [aut, cre] , Joelle Barido-Sottani [rev] , David Winter [rev] , Jason Griffiths [ctb] , Olivier Roy [ctb], Thijs Janzen [ctb]
Maintainer: Richel J.C. Bilderbeek <rjcbilderbeek@gmail.com>

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Package ExtremalDep updated to version 0.0.4-2 with previous version 0.0.4-1 dated 2023-09-25

Title: Extremal Dependence Models
Description: A set of procedures for parametric and non-parametric modelling of the dependence structure of multivariate extreme-values is provided. The statistical inference is performed with non-parametric estimators, likelihood-based estimators and Bayesian techniques. It adapts the methodologies of Beranger and Padoan (2015) <doi:10.48550/arXiv.1508.05561>, Marcon et al. (2016) <doi:10.1214/16-EJS1162>, Marcon et al. (2017) <doi:10.1002/sta4.145>, Marcon et al. (2017) <doi:10.1016/j.jspi.2016.10.004> and Beranger et al. (2021) <doi:10.1007/s10687-019-00364-0>. This package also allows for the modelling of spatial extremes using flexible max-stable processes. It provides simulation algorithms and fitting procedures relying on the Stephenson-Tawn likelihood as per Beranger at al. (2021) <doi:10.1007/s10687-020-00376-1>.
Author: Boris Beranger [aut], Simone Padoan [cre, aut], Giulia Marcon [aut], Steven G. Johnson [ctb] , Rudolf Schuerer [ctb] , Brian Gough [ctb] , Alec G. Stephenson [ctb], Anne Sabourin [ctb]
Maintainer: Simone Padoan <simone.padoan@unibocconi.it>

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Package logconcens updated to version 0.17-4 with previous version 0.17-3 dated 2023-08-19

Title: Maximum Likelihood Estimation of a Log-Concave Density Based on Censored Data
Description: Based on right or interval censored data, compute the maximum likelihood estimator of a (sub)probability density under the assumption that it is log-concave. For further information see Duembgen, Rufibach and Schuhmacher (2014) <doi:10.1214/14-EJS930>.
Author: Dominic Schuhmacher [aut, cre], Kaspar Rufibach [aut], Lutz Duembgen [aut]
Maintainer: Dominic Schuhmacher <dominic.schuhmacher@mathematik.uni-goettingen.de>

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Package rddensity updated to version 2.6 with previous version 2.5 dated 2024-01-22

Title: Manipulation Testing Based on Density Discontinuity
Description: Density discontinuity testing (a.k.a. manipulation testing) is commonly employed in regression discontinuity designs and other program evaluation settings to detect perfect self-selection (manipulation) around a cutoff where treatment/policy assignment changes. This package implements manipulation testing procedures using the local polynomial density estimators: rddensity() to construct test statistics and p-values given a prespecified cutoff, rdbwdensity() to perform data-driven bandwidth selection, and rdplotdensity() to construct density plots.
Author: Matias D. Cattaneo [aut], Michael Jansson [aut], Xinwei Ma [aut, cre]
Maintainer: Xinwei Ma <x1ma@ucsd.edu>

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Package cpmr updated to version 0.1.0 with previous version 0.0.9 dated 2024-06-08

Title: Connectome Predictive Modelling in R
Description: Connectome Predictive Modelling (CPM) (Shen et al. (2017) <doi:10.1038/nprot.2016.178>) is a method to predict individual differences in behaviour from brain functional connectivity. 'cpmr' provides a simple yet efficient implementation of this method.
Author: Liang Zhang [aut, cre]
Maintainer: Liang Zhang <psychelzh@outlook.com>

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Package lpdensity updated to version 2.5 with previous version 2.4 dated 2023-01-21

Title: Local Polynomial Density Estimation and Inference
Description: Without imposing stringent distributional assumptions or shape restrictions, nonparametric estimation has been popular in economics and other social sciences for counterfactual analysis, program evaluation, and policy recommendations. This package implements a novel density (and derivatives) estimator based on local polynomial regressions, documented in Cattaneo, Jansson and Ma (2022) <doi:10.18637/jss.v101.i02>: lpdensity() to construct local polynomial based density (and derivatives) estimator, and lpbwdensity() to perform data-driven bandwidth selection.
Author: Matias D. Cattaneo [aut], Michael Jansson [aut], Xinwei Ma [aut, cre]
Maintainer: Xinwei Ma <x1ma@ucsd.edu>

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