Thu, 02 Nov 2023

Package XML updated to version 3.99-0.15 with previous version 3.99-0.14 dated 2023-03-19

Title: Tools for Parsing and Generating XML Within R and S-Plus
Description: Many approaches for both reading and creating XML (and HTML) documents (including DTDs), both local and accessible via HTTP or FTP. Also offers access to an 'XPath' "interpreter".
Author: CRAN Team [ctb, cre] , Duncan Temple Lang [aut] , Tomas Kalibera [ctb]
Maintainer: CRAN Team <CRAN@r-project.org>

Diff between XML versions 3.99-0.14 dated 2023-03-19 and 3.99-0.15 dated 2023-11-02

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Package RCurl updated to version 1.98-1.13 with previous version 1.98-1.12 dated 2023-03-27

Title: General Network (HTTP/FTP/...) Client Interface for R
Description: A wrapper for 'libcurl' <https://curl.se/libcurl/> Provides functions to allow one to compose general HTTP requests and provides convenient functions to fetch URIs, get & post forms, etc. and process the results returned by the Web server. This provides a great deal of control over the HTTP/FTP/... connection and the form of the request while providing a higher-level interface than is available just using R socket connections. Additionally, the underlying implementation is robust and extensive, supporting FTP/FTPS/TFTP (uploads and downloads), SSL/HTTPS, telnet, dict, ldap, and also supports cookies, redirects, authentication, etc.
Author: CRAN Team [ctb, cre] , Duncan Temple Lang [aut]
Maintainer: CRAN Team <CRAN@r-project.org>

Diff between RCurl versions 1.98-1.12 dated 2023-03-27 and 1.98-1.13 dated 2023-11-02

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New package retrodesign with initial version 0.2.1
Package: retrodesign
Title: Tools for Type S (Sign) and Type M (Magnitude) Errors
Version: 0.2.1
Description: Provides tools for working with Type S (Sign) and Type M (Magnitude) errors, as proposed in Gelman and Tuerlinckx (2000) <doi:10.1007/s001800000040> and Gelman & Carlin (2014) <doi:10.1177/1745691614551642>. In addition to simply calculating the probability of Type S/M error, the package includes functions for calculating these errors across a variety of effect sizes for comparison, and recommended sample size given "tolerances" for Type S/M errors. To improve the speed of these calculations, closed forms solutions for the probability of a Type S/M error from Lu, Qiu, and Deng (2018) <doi:10.1111/bmsp.12132> are implemented. As of 1.0.0, this includes support only for simple research designs. See the package vignette for a fuller exposition on how Type S/M errors arise in research, and how to analyze them using the type of design analysis proposed in the above papers.
Depends: R (>= 3.1.0)
License: MIT + file LICENSE
URL: https://github.com/andytimm/retrodesign
BugReports: https://github.com/andytimm/retrodesign/issues
Encoding: UTF-8
Imports: graphics
Suggests: ggplot2, knitr, rmarkdown, gridExtra, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-11-02 15:40:44 UTC; timma
Author: Andrew Timm [cre, aut], Andrew Gelman [ctb, cph], John Carlin [ctb, cph], Martijn Weterings [ctb]
Maintainer: Andrew Timm <timmandrew1@gmail.com>
Repository: CRAN
Date/Publication: 2023-11-02 22:20:02 UTC

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Package RcppEigen updated to version 0.3.3.9.4 with previous version 0.3.3.9.3 dated 2022-11-05

Title: 'Rcpp' Integration for the 'Eigen' Templated Linear Algebra Library
Description: R and 'Eigen' integration using 'Rcpp'. 'Eigen' is a C++ template library for linear algebra: matrices, vectors, numerical solvers and related algorithms. It supports dense and sparse matrices on integer, floating point and complex numbers, decompositions of such matrices, and solutions of linear systems. Its performance on many algorithms is comparable with some of the best implementations based on 'Lapack' and level-3 'BLAS'. The 'RcppEigen' package includes the header files from the 'Eigen' C++ template library. Thus users do not need to install 'Eigen' itself in order to use 'RcppEigen'. Since version 3.1.1, 'Eigen' is licensed under the Mozilla Public License (version 2); earlier version were licensed under the GNU LGPL version 3 or later. 'RcppEigen' (the 'Rcpp' bindings/bridge to 'Eigen') is licensed under the GNU GPL version 2 or later, as is the rest of 'Rcpp'.
Author: Douglas Bates, Dirk Eddelbuettel, Romain Francois, and Yixuan Qiu; the authors of Eigen for the included version of Eigen
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppEigen versions 0.3.3.9.3 dated 2022-11-05 and 0.3.3.9.4 dated 2023-11-02

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Package localScore updated to version 1.0.11 with previous version 1.0.10 dated 2023-11-02

Title: Package for Sequence Analysis by Local Score
Description: Functionalities for calculating the local score and calculating statistical relevance (p-value) to find a local Score in a sequence of given distribution (S. Mercier and J.-J. Daudin (2001) <https://hal.science/hal-00714174/>) ; S. Karlin and S. Altschul (1990) <https://www.ncbi.nlm.nih.gov/pmc/articles/PMC53667/> ; S. Mercier, D. Cellier and F. Charlot (2003) <https://hal.science/hal-00937529v1/> ; A. Lagnoux, S. Mercier and P. Valois (2017) <doi:10.1093/bioinformatics/btw699> ).
Author: Sebastian Simon [aut], David Robelin [aut, cre], Sabine Mercier [aut], Sebastien Dejean [aut], The authors of Eigen the library for the included version of Eigen [cph]
Maintainer: David Robelin <david.robelin@inrae.fr>

Diff between localScore versions 1.0.10 dated 2023-11-02 and 1.0.11 dated 2023-11-02

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Package greeks updated to version 1.3.1 with previous version 1.3 dated 2023-09-14

Title: Sensitivities of Prices of Financial Options and Implied Volatilities
Description: Methods to calculate sensitivities of financial option prices for European, geometric and arithmetic Asian, and American options, with various payoff functions in the Black Scholes model, and in more general jump diffusion models. A shiny app to interactively plot the results is included. Furthermore, methods to compute implied volatilities are provided for a wide range of option types and custom payoff functions. Classical formulas are implemented for European options in the Black Scholes Model, as is presented in Hull, J. C. (2017), Options, Futures, and Other Derivatives. In the case of Asian options, Malliavin Monte Carlo Greeks are implemented, see Hudde, A. & Rüschendorf, L. (2023). European and Asian Greeks for exponential Lévy processes. <doi:10.1007/s11009-023-10014-5>. For American options, the Binomial Tree Method is implemented, as is presented in Hull, J. C. (2017).
Author: Anselm Hudde [aut, cre]
Maintainer: Anselm Hudde <anselmhudde@gmx.de>

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Package flps updated to version 1.0.0 with previous version 0.1.0 dated 2023-05-05

Title: Fully-Latent Principal Stratification
Description: Simulation and analysis of Fully-Latent Principal Stratification (FLPS) with measurement models. Sales & Pane (2019). <doi:10.1214/18-AOAS1196>. This package is supported by the Institute of Education Sciences, U.S. Department of Education, through Grant R305D210036.
Author: Sooyong Lee [aut, cre], Adam Sales [aut], Hyeon-Ah Kang [aut], Tiffany Whittaker [aut]
Maintainer: Sooyong Lee <sooyongl09@utexas.edu>

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Package fabR updated to version 2.0.1 with previous version 2.0.0 dated 2023-09-28

Title: Wrapper Functions Collection Used in Data Pipelines
Description: The goal of this package is to provide wrapper functions in the data cleaning and cleansing processes. These function helps in messages and interaction with the user, keep track of information in pipelines, help in the wrangling, munging, assessment and visualization of data frame-like material.
Author: Guillaume Fabre [aut, cre], Maelstrom-Research [fnd]
Maintainer: Guillaume Fabre <guijoseph.fabre@gmail.com>

Diff between fabR versions 2.0.0 dated 2023-09-28 and 2.0.1 dated 2023-11-02

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Package nhm updated to version 0.1.1 with previous version 0.1.0 dated 2019-10-11

Title: Non-Homogeneous Markov and Hidden Markov Multistate Models
Description: Fits non-homogeneous Markov multistate models and misclassification-type hidden Markov models in continuous time to intermittently observed data. Implements the methods in Titman (2011) <doi:10.1111/j.1541-0420.2010.01550.x>. Uses direct numerical solution of the Kolmogorov forward equations to calculate the transition probabilities.
Author: Andrew Titman [aut, cre]
Maintainer: Andrew Titman <a.titman@lancaster.ac.uk>

Diff between nhm versions 0.1.0 dated 2019-10-11 and 0.1.1 dated 2023-11-02

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New package microCRAN with initial version 0.9.0
Package: microCRAN
Title: Hosting an Independent CRAN Repository
Version: 0.9.0
Description: Stand-alone HTTP capable R-package repository, that fully supports R's install.packages() and available.packages(). It also contains API endpoints for end-users to add/update packages. This package can supplement 'miniCRAN', which has functions for maintaining a local (partial) copy of 'CRAN'. Current version is bare-minimum without any access-control or much security.
License: GPL-3
Depends: R (>= 4.0.0)
Imports: rlang (>= 1.1.0), plumber (>= 1.2.0), assertthat (>= 0.2.1), mime, xtable
Suggests: miniCRAN, testthat (>= 3.0.0), covr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-11-02 13:05:42 UTC; SMHE
Author: Stefan McKinnon Edwards [aut, cre, cph] , Kamstrup A/S [cph]
Maintainer: Stefan McKinnon Edwards <sme@iysik.com>
Repository: CRAN
Date/Publication: 2023-11-02 20:20:02 UTC

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Package datarobot updated to version 2.18.5 with previous version 2.18.4 dated 2023-08-07

Title: 'DataRobot' Predictive Modeling API
Description: For working with the 'DataRobot' predictive modeling platform's API <https://www.datarobot.com/>.
Author: Ron Pearson [aut], Zachary Deane-Mayer [aut], David Chudzicki [aut], Dallin Akagi [aut], Sergey Yurgenson [aut], Thakur Raj Anand [aut], Peter Hurford [aut], Chester Ismay [aut], AJ Alon [aut], Andrew Watson [aut], Gregory Williams [aut], Anastasiia [...truncated...]
Maintainer: AJ Alon <api-maintainer@datarobot.com>

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Package cyclotomic updated to version 1.3.0 with previous version 1.2.0 dated 2023-07-15

Title: The Field of Cyclotomic Numbers
Description: The cyclotomic numbers are complex numbers that can be thought of as the rational numbers extended with the roots of unity. They are represented exactly, enabling exact computations. They contain the Gaussian rationals (complex numbers with rational real and imaginary parts) as well as the square roots of all rational numbers. They also contain the sine and cosine of all rational multiples of pi. The algorithms implemented in this package are taken from the 'Haskell' package 'cyclotomic', whose algorithms are adapted from code by Martin Schoenert and Thomas Breuer in the 'GAP' project (<https://www.gap-system.org/>). Cyclotomic numbers have applications in number theory, algebraic geometry, algebraic number theory, coding theory, and in the theory of graphs and combinatorics. They have connections to the theory of modular functions and modular curves.
Author: Stephane Laurent [aut, cre], Scott N. Walck [cph]
Maintainer: Stephane Laurent <laurent_step@outlook.fr>

Diff between cyclotomic versions 1.2.0 dated 2023-07-15 and 1.3.0 dated 2023-11-02

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New package comradesOO with initial version 0.1.0
Package: comradesOO
Title: Analysis of COMRADES (Cross-Linking Matched RNA and Deep Sequencing) Data
Version: 0.1.0
Maintainer: Jonathan Price <jlp76@cam.ac.uk>
Description: Analysis of RNA crosslinking data for RNA structure prediction. The package is suitable for the analysis of RNA structure cross-linking data and chemical probing data.
License: GPL-3
Encoding: UTF-8
BugReports: https://github.com/JLP-BioInf/comradesOO/issues
Depends: seqinr, GenomicRanges, stats
Imports: ggplot2, reshape2, MASS, mixtools, utils, S4Vectors, doParallel, igraph, R4RNA, RColorBrewer, IRanges, foreach,grDevices, heatmap3, TopDom, tidyverse, RRNA, ggrepel, methods, parallel
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-11-02 11:55:42 UTC; jp
Author: Jonathan Price [aut, cre]
Repository: CRAN
Date/Publication: 2023-11-02 20:20:09 UTC

More information about comradesOO at CRAN
Permanent link

Package corrtable updated to version 0.1.1 with previous version 0.1.0 dated 2022-09-12

Title: Creates and Saves Out a Correlation Table with Significance Levels Indicated
Description: After using this, a publication-ready correlation table with p-values indicated will be created. The input can be a full data frame; any string and Boolean terms will be dropped as part of functionality. Correlations and p-values are calculated using the 'Hmisc' framework. Output of the correlation_matrix() function is a table of strings; this gets saved out to a '.csv2' with the save_correlation_matrix() function for easy insertion into a paper. For more details about the process, consult <https://paulvanderlaken.com/2020/07/28/publication-ready-correlation-matrix-significance-r/>.
Author: Paul van der Laken [aut] , Laura Lambert [ctb, cre]
Maintainer: Laura Lambert <laura.lambert.99@gmail.com>

Diff between corrtable versions 0.1.0 dated 2022-09-12 and 0.1.1 dated 2023-11-02

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New package climenv with initial version 1.0.0
Package: climenv
Title: Download, Extract and Visualise Climate and Elevation Data
Version: 1.0.0
Description: Grants access to three widely recognised modelled data sets, namely Global Climate Data (WorldClim 2), Climatologies at high resolution for the earth's land surface areas (CHELSA), and National Aeronautics and Space Administration's (NASA) Shuttle Radar Topography Mission (SRTM). It handles both multi and single geospatial polygon and point data, extracts outputs that can serve as covariates in various ecological studies. Provides two common graphic options – the Walter-Lieth (1960) <https://donum.uliege.be/bitstream/2268.1/7079/1/Walter-Lieth_Klimadiagramm-Weltatlas.pdf> climate diagram and the Holdridge (1967) <https://reddcr.go.cr/sites/default/files/centro-de-documentacion/holdridge_1966_-_life_zone_ecology.pdf> life zone classification scheme. Provides one new graphic scheme of our own design which incorporates aspects of both Walter-Leigh and Holdridge. Provides user-friendly access and extraction of globally recognisable data sets to enhance their usability across a [...truncated...]
License: GPL-3
BugReports: https://github.com/jamestsakalos/climenv/issues
URL: https://github.com/jamestsakalos/climenv
Encoding: UTF-8
Language: en-GB
LazyData: true
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
Imports: climaemet, dismo, dplyr, elevatr (>= 0.99), exactextractr, geodata, glue, methods, plyr, randomForest, sf, sp, Ternary, terra
Suggests: covr, fs, knitr, progress, raster, rmarkdown, testthat (>= 0.2.0), vdiffr
NeedsCompilation: no
Packaged: 2023-11-02 14:43:42 UTC; jamie
Author: James L. Tsakalos [aut, cre, cph] , Martin R. Smith [aut] , Federico Luebert [aut] , Ladislav Mucina [aut]
Maintainer: James L. Tsakalos <jamestsakalos@gmail.com>
Repository: CRAN
Date/Publication: 2023-11-02 19:40:02 UTC

More information about climenv at CRAN
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Package tspredit updated to version 1.0.727 with previous version 1.0.707 dated 2023-07-19

Title: Time Series Prediction Integrated Tuning
Description: Prediction is one of the most important activities while working with time series. There are many alternative ways to model the time series. Finding the right one is challenging to model them. Most data-driven models (either statistical or machine learning) demand tuning. Setting them right is mandatory for good predictions. It is even more complex since time series prediction also demands choosing a data pre-processing that complies with the chosen model. Many time series frameworks have features to build and tune models. The package differs as it provides a framework that seamlessly integrates tuning data pre-processing activities with the building of models. The package provides functions for defining and conducting time series prediction, including data pre(post)processing, decomposition, tuning, modeling, prediction, and accuracy assessment. More information is available at Izau et al. <doi:10.5753/sbbd.2022.224330>.
Author: Rebecca Salles [aut], Cristiane Gea [aut], Vitoria Birindiba [aut], Carla Pacheco [aut], Eduardo Bezerra [aut], Esther Pacitti [aut], Fabio Porto [aut], Eduardo Ogasawara [aut, ths, cre] , Federal Center for Technological Education of Rio de Janeiro [...truncated...]
Maintainer: Eduardo Ogasawara <eogasawara@ieee.org>

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Package rirods updated to version 0.1.2 with previous version 0.1.1 dated 2023-06-30

Title: R Client for 'iRODS'
Description: The open sourced data management software 'Integrated Rule-Oriented Data System' ('iRODS') offers solutions for the whole data life cycle (<https://irods.org/>). The loosely constructed and highly configurable architecture of 'iRODS' frees the user from strict formatting constraints and single-vendor solutions. This package provides an interface to the 'iRODS' REST API, allowing you to manage your data and metadata in 'iRODS' with R. Storage of annotated files and R objects in 'iRODS' ensures findability, accessibility, interoperability, and reusability of data.
Author: Martin Schobben [aut, cre, cph] , Mariana Montes [aut], Terrell Russell [ctb], Christine Staiger [ctb], Ton Smeele [ctb], Alan King [ctb]
Maintainer: Martin Schobben <schobbenmartin@gmail.com>

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Package NMRphasing updated to version 1.0.2 with previous version 1.0.1 dated 2023-10-23

Title: Phase Error Correction and Baseline Correction for One Dimensional ('1D') 'NMR' Data
Description: There are three distinct approaches for phase error correction, they are: a single linear model with a choice of optimization functions, multiple linear models with optimization function choices and a shrinkage-based method. The methodology is based on our new algorithms and various references (Binczyk et al. (2015) <doi:10.1186/1475-925X-14-S2-S5>,Chen et al. (2002) <doi:10.1016/S1090-7807(02)00069-1>, de Brouwer (2009) <doi:10.1016/j.jmr.2009.09.017>, Džakula (2000) <doi:10.1006/jmre.2000.2123>, Ernst (1969) <doi:10.1016/0022-2364(69)90003-1>, Liland et al. (2010) <doi:10.1366/000370210792434350>).
Author: Aixiang Jiang [aut, cre, cph]
Maintainer: Aixiang Jiang <aijiang@bccrc.ca>

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Package beezdiscounting updated to version 0.2.0 with previous version 0.1.0 dated 2023-10-26

Title: Behavioral Economic Easy Discounting
Description: Facilitates some of the analyses performed in studies of behavioral economic discounting. The package supports scoring of the 27-Item Monetary Choice Questionnaire (see Kaplan et al., 2016; <doi:10.1007/s40614-016-0070-9>) and scoring of the minute discounting task (see Koffarnus & Bickel, 2014; <doi:10.1037/a0035973>) using the Qualtrics 5-trial discounting template (see the Qualtrics Minute Discounting User Guide; <doi:10.13140/RG.2.2.26495.79527>), which is also available as a .qsf file in this package.
Author: Brent Kaplan [aut, cre, cph]
Maintainer: Brent Kaplan <bkaplan.ku@gmail.com>

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Package warp updated to version 0.2.1 with previous version 0.2.0 dated 2020-10-21

Title: Group Dates
Description: Tooling to group dates by a variety of periods including: yearly, monthly, by second, by week of the month, and more. The groups are defined in such a way that they also represent the distance between dates in terms of the period. This extracts valuable information that can be used in further calculations that rely on a specific temporal spacing between observations.
Author: Davis Vaughan [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Davis Vaughan <davis@posit.co>

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Package cowsay updated to version 0.9.0 with previous version 0.8.2 dated 2023-03-08

Title: Messages, Warnings, Strings with Ascii Animals
Description: Allows printing of character strings as messages/warnings/etc. with ASCII animals, including cats, cows, frogs, chickens, ghosts, and more.
Author: Scott Chamberlain [aut, cre], Amanda Dobbyn [aut], Tyler Rinker [ctb], Thomas Leeper [ctb], Noam Ross [ctb], Rich FitzJohn [ctb], Carson Sievert [ctb], Kiyoko Gotanda [ctb], Andy Teucher [ctb], Karl Broman [ctb], Franz-Sebastian Krah [ctb], Lucy D'Ag [...truncated...]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

Diff between cowsay versions 0.8.2 dated 2023-03-08 and 0.9.0 dated 2023-11-02

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Package CFtime updated to version 1.2.0 with previous version 1.1.0 dated 2023-10-09

Title: Using CF-Compliant Calendars with Climate Projection Data
Description: Support for all calendars as specified in the Climate and Forecast (CF) Metadata Conventions for climate and forecasting data. The CF Metadata Conventions is widely used for distributing files with climate observations or projections, including the Coupled Model Intercomparison Project (CMIP) data used by climate change scientists and the Intergovernmental Panel on Climate Change (IPCC). This package specifically allows the user to work with any of the CF-compliant calendars (many of which are not compliant with POSIXt). The CF time coordinate is formally defined in the CF Metadata Conventions document available at <https://cfconventions.org/Data/cf-conventions/cf-conventions-1.10/cf-conventions.html#time-coordinate>.
Author: Patrick Van Laake [aut, cre, cph]
Maintainer: Patrick Van Laake <patrick@vanlaake.net>

Diff between CFtime versions 1.1.0 dated 2023-10-09 and 1.2.0 dated 2023-11-02

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Package vinereg updated to version 0.9.2 with previous version 0.9.1 dated 2023-10-23

Title: D-Vine Quantile Regression
Description: Implements D-vine quantile regression models with parametric or nonparametric pair-copulas. See Kraus and Czado (2017) <doi:10.1016/j.csda.2016.12.009> and Schallhorn et al. (2017) <arXiv:1705.08310>.
Author: Thomas Nagler [aut, cre], Dani Kraus [ctb]
Maintainer: Thomas Nagler <mail@tnagler.com>

Diff between vinereg versions 0.9.1 dated 2023-10-23 and 0.9.2 dated 2023-11-02

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Package sits updated to version 1.4.2-1 with previous version 1.4.2 dated 2023-10-28

Title: Satellite Image Time Series Analysis for Earth Observation Data Cubes
Description: An end-to-end toolkit for land use and land cover classification using big Earth observation data, based on machine learning methods applied to satellite image data cubes, as described in Simoes et al (2021) <doi:10.3390/rs13132428>. Builds regular data cubes from collections in AWS, Microsoft Planetary Computer, Brazil Data Cube, and Digital Earth Africa using the Spatio-temporal Asset Catalog (STAC) protocol (<https://stacspec.org/> and the 'gdalcubes' R package developed by Appel and Pebesma (2019) <doi:10.3390/data4030092>. Supports visualization methods for images and time series and smoothing filters for dealing with noisy time series. Includes functions for quality assessment of training samples using self-organized maps as presented by Santos et al (2021) <doi:10.1016/j.isprsjprs.2021.04.014>. Provides machine learning methods including support vector machines, random forests, extreme gradient boosting, multi-layer perceptrons, temporal convolutional neu [...truncated...]
Author: Rolf Simoes [aut], Gilberto Camara [aut, cre], Felipe Souza [aut], Lorena Santos [aut], Pedro Andrade [aut], Karine Ferreira [aut], Alber Sanchez [aut], Gilberto Queiroz [aut]
Maintainer: Gilberto Camara <gilberto.camara.inpe@gmail.com>

Diff between sits versions 1.4.2 dated 2023-10-28 and 1.4.2-1 dated 2023-11-02

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New package rfold with initial version 0.1.0
Package: rfold
Title: Working with many R Folders Within an R Package
Version: 0.1.0
Description: Allows developers to work with many R folders inside a package. It offers functionalities to transfer R scripts (saved outside the R folder) into the R folder while making additional checks.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli (>= 3.6.1), fs (>= 1.5.0), here (>= 1.0.1), usethis (>= 2.0.1)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2023-11-01 22:37:29 UTC; Administrateur
Author: Mohamed El Fodil Ihaddaden [aut, cre]
Maintainer: Mohamed El Fodil Ihaddaden <ihaddaden.fodeil@gmail.com>
Repository: CRAN
Date/Publication: 2023-11-02 15:50:02 UTC

More information about rfold at CRAN
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Package plotrix updated to version 3.8-3 with previous version 3.8-2 dated 2021-09-08

Title: Various Plotting Functions
Description: Lots of plots, various labeling, axis and color scaling functions. The author/maintainer died in September 2023.
Author: Jim Lemon, Ben Bolker, Sander Oom, Eduardo Klein, Barry Rowlingson, Hadley Wickham, Anupam Tyagi, Olivier Eterradossi, Gabor Grothendieck, Michael Toews, John Kane, Rolf Turner, Carl Witthoft, Julian Stander, Thomas Petzoldt, Remko Duursma, Elisa Bia [...truncated...]
Maintainer: ORPHANED

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New package fastMatMR with initial version 1.2.4
Package: fastMatMR
Title: High-Performance Matrix Market File Operations
Version: 1.2.4
Description: An interface to the 'fast_matrix_market' 'C++' library, this package offers efficient read and write operations for Matrix Market files in R. It supports both sparse and dense matrix formats. Peer-reviewed at ROpenSci (<https://github.com/ropensci/software-review/issues/606>).
Author: Rohit Goswami [aut, cre] , Ildiko Czeller [rev] , Adam Lugowski [ctb]
Maintainer: Rohit Goswami <rgoswami@ieee.org>
License: MIT + file LICENSE
SystemRequirements: C++17
Encoding: UTF-8
LinkingTo: cpp11
Suggests: ggplot2, knitr, Matrix, microbenchmark, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/ropensci/fastMatMR
BugReports: https://github.com/ropensci/fastMatMR/issues
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2023-11-02 11:47:17 UTC; rgoswami
Repository: CRAN
Date/Publication: 2023-11-02 16:00:02 UTC

More information about fastMatMR at CRAN
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New package bipl5 with initial version 1.0.2
Package: bipl5
Title: Construct Reactive Calibrated Axes Biplots
Version: 1.0.2
Description: A modern view on the principal component analysis biplot with calibrated axes. Create principal component analysis biplots rendered in HTML with significant reactivity embedded within the plot. Furthermore, the traditional biplot view is enhanced by translated axes with inter-class kernel densities superimposed. For more information on biplots, see Gower, J.C., Lubbe, S. and le Roux, N.J. (2011, ISBN: 978-0-470-01255-0).
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cluster, crayon (>= 1.5.2), htmlwidgets (>= 1.6.2), knitr (>= 1.43), methods, plotly (>= 4.10.2)
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2023-11-02 08:20:45 UTC; user-pc
Author: Ruan Buys [aut, cre, cph] , Carel van der Merwe [aut, ths]
Maintainer: Ruan Buys <ruanbuys8@gmail.com>
Repository: CRAN
Date/Publication: 2023-11-02 15:50:05 UTC

More information about bipl5 at CRAN
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Package RCTrep updated to version 1.2.0 with previous version 1.1.0 dated 2023-08-09

Title: Validation of Estimates of Treatment Effects in Observational Data
Description: Validates estimates of (conditional) average treatment effects obtained using observational data by a) making it easy to obtain and visualize estimates derived using a large variety of methods (G-computation, inverse propensity score weighting, etc.), and b) ensuring that estimates are easily compared to a gold standard (i.e., estimates derived from randomized controlled trials). 'RCTrep' offers a generic protocol for treatment effect validation based on four simple steps, namely, set-selection, estimation, diagnosis, and validation. 'RCTrep' provides a simple dashboard to review the obtained results. The validation approach is introduced by Shen, L., Geleijnse, G. and Kaptein, M. (2023) <doi:10.21203/rs.3.rs-2559287/v2>.
Author: Lingjie Shen [aut, cre, cph], Gijs Geleijnse [aut], Maurits Kaptein [aut]
Maintainer: Lingjie Shen <lingjieshen66@gmail.com>

Diff between RCTrep versions 1.1.0 dated 2023-08-09 and 1.2.0 dated 2023-11-02

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Package pastclim updated to version 2.0.0 with previous version 1.2.4 dated 2023-04-25

Title: Manipulate Time Series of Palaeoclimate Reconstructions
Description: Methods to easily extract and manipulate palaeoclimate reconstructions for ecological and anthropological analyses, as described in Leonardi et al. (2023) <doi:10.1111/ecog.06481>.
Author: Michela Leonardi [aut], Emily Y. Hallet [ctb], Robert Beyer [ctb], Mario Krapp [ctb], Andrea Manica [aut, cre]
Maintainer: Andrea Manica <am315@cam.ac.uk>

Diff between pastclim versions 1.2.4 dated 2023-04-25 and 2.0.0 dated 2023-11-02

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Package parameters updated to version 0.21.3 with previous version 0.21.2 dated 2023-09-16

Title: Processing of Model Parameters
Description: Utilities for processing the parameters of various statistical models. Beyond computing p values, CIs, and other indices for a wide variety of models (see list of supported models using the function 'insight::supported_models()'), this package implements features like bootstrapping or simulating of parameters and models, feature reduction (feature extraction and variable selection) as well as functions to describe data and variable characteristics (e.g. skewness, kurtosis, smoothness or distribution).
Author: Daniel Luedecke [aut, cre] , Dominique Makowski [aut] , Mattan S. Ben-Shachar [aut] , Indrajeet Patil [aut] , Soeren Hoejsgaard [aut], Brenton M. Wiernik [aut] , Zen J. Lau [ctb], Vincent Arel-Bundock [ctb] , Jeffrey Girard [ctb] , Christina Maimone [re [...truncated...]
Maintainer: Daniel Luedecke <d.luedecke@uke.de>

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Package hemispheR updated to version 1.0.1 with previous version 1.0.0 dated 2023-10-24

Title: Processing Hemispherical Canopy Images
Description: Import and classify canopy fish-eye images, estimate angular gap fraction and derive canopy attributes like leaf area index and openness. Additional information is provided in the study by Chianucci F., Macek M. (2023) <doi:10.1016/j.agrformet.2023.109470>.
Author: Francesco Chianucci [aut, cre] , Martin Macek [aut]
Maintainer: Francesco Chianucci <fchianucci@gmail.com>

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Package dm updated to version 1.0.8 with previous version 1.0.7 dated 2023-10-24

Title: Relational Data Models
Description: Provides tools for working with multiple related tables, stored as data frames or in a relational database. Multiple tables (data and metadata) are stored in a compound object, which can then be manipulated with a pipe-friendly syntax.
Author: Tobias Schieferdecker [aut], Kirill Mueller [aut, cre] , Antoine Fabri [ctb], Darko Bergant [aut], Katharina Brunner [ctb], James Wondrasek [ctb], Indrajeet Patil [ctb] , Maelle Salmon [ctb] , energie360° AG [fnd], cynkra GmbH [fnd, cph]
Maintainer: Kirill Mueller <kirill@cynkra.com>

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Package waldo updated to version 0.5.2 with previous version 0.5.1 dated 2023-05-08

Title: Find Differences Between R Objects
Description: Compare complex R objects and reveal the key differences. Designed particularly for use in testing packages where being able to quickly isolate key differences makes understanding test failures much easier.
Author: Hadley Wickham [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Hadley Wickham <hadley@posit.co>

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Package qPCRtools updated to version 1.0.1 with previous version 0.2.1 dated 2022-08-15

Title: Tools for qPCR
Description: PKG_DESC.
Author: Xiang LI [cre, aut]
Maintainer: Xiang LI <lixiang117423@gmail.com>

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Package lacunaritycovariance updated to version 1.1-7 with previous version 1.1-6 dated 2023-11-01

Title: Gliding Box Lacunarity and Other Metrics for 2D Random Closed Sets
Description: Functions for estimating the gliding box lacunarity (GBL), covariance, and pair-correlation of a random closed set (RACS) in 2D from a binary coverage map (e.g. presence-absence land cover maps). Contains a number of newly-developed covariance-based estimators of GBL (Hingee et al., 2019) <doi:10.1007/s13253-019-00351-9> and balanced estimators, proposed by Picka (2000) <http://www.jstor.org/stable/1428408>, for covariance, centred covariance, and pair-correlation. Also contains methods for estimating contagion-like properties of RACS and simulating 2D Boolean models. Binary coverage maps are usually represented as raster images with pixel values of TRUE, FALSE or NA, with NA representing unobserved pixels. A demo for extracting such a binary map from a geospatial data format is provided. Binary maps may also be represented using polygonal sets as the foreground, however for most computations such maps are converted into raster images. The package is based on research [...truncated...]
Author: Kassel Liam Hingee
Maintainer: Kassel Liam Hingee <kassel.hingee@gmail.com>

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New package ghcm with initial version 3.0.1
Package: ghcm
Title: Functional Conditional Independence Testing with the GHCM
Version: 3.0.1
Description: A statistical hypothesis test for conditional independence. Given residuals from a sufficiently powerful regression, it tests whether the covariance of the residuals is vanishing. It can be applied to both discretely-observed functional data and multivariate data. Details of the method can be found in Anton Rask Lundborg, Rajen D. Shah and Jonas Peters (2022) <doi:10.1111/rssb.12544>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: CompQuadForm, Rcpp, splines
Depends: R (>= 4.0.0)
Suggests: graphics, stats, utils, refund, testthat, knitr, rmarkdown, bookdown, ggplot2, reshape2, dplyr, tidyr
URL: https://github.com/arlundborg/ghcm
BugReports: https://github.com/arlundborg/ghcm/issues
VignetteBuilder: knitr
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2023-11-02 10:57:37 UTC; lundborg
Author: Anton Rask Lundborg [aut, cre], Rajen D. Shah [aut], Jonas Peters [aut]
Maintainer: Anton Rask Lundborg <arl@math.ku.dk>
Repository: CRAN
Date/Publication: 2023-11-02 13:20:03 UTC

More information about ghcm at CRAN
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Package FossilSimShiny updated to version 1.1.0 with previous version 1.0.0 dated 2022-05-31

Title: Shiny Application for 'FossilSim'
Description: A shiny application based on 'FossilSim'. Used for simulating tree, taxonomic and fossil data under mechanistic models of speciation, preservation and sampling.
Author: Titouan Chambe [aut], Joelle Barido-Sottani [aut, cre, cph], Rachel Warnock [aut, cph]
Maintainer: Joelle Barido-Sottani <joelle.barido-sottani@m4x.org>

Diff between FossilSimShiny versions 1.0.0 dated 2022-05-31 and 1.1.0 dated 2023-11-02

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Package DoseFinding updated to version 1.1-1 with previous version 1.0-5 dated 2023-06-27

Title: Planning and Analyzing Dose Finding Experiments
Description: The DoseFinding package provides functions for the design and analysis of dose-finding experiments (with focus on pharmaceutical Phase II clinical trials). It provides functions for: multiple contrast tests, fitting non-linear dose-response models (using Bayesian and non-Bayesian estimation), calculating optimal designs and an implementation of the MCPMod methodology (Pinheiro et al. (2014) <doi:10.1002/sim.6052>).
Author: Bjoern Bornkamp [aut, cre] , Jose Pinheiro [aut], Frank Bretz [aut], Ludger Sandig [aut], Marius Thomas [aut]
Maintainer: Bjoern Bornkamp <bjoern.bornkamp@novartis.com>

Diff between DoseFinding versions 1.0-5 dated 2023-06-27 and 1.1-1 dated 2023-11-02

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Permanent link

New package beautier with initial version 2.6.11
Package: beautier
Title: 'BEAUti' from R
Version: 2.6.11
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. 'BEAUti 2' (which is part of 'BEAST2') is a GUI tool that allows users to specify the many possible setups and generates the XML file 'BEAST2' needs to run. This package provides a way to create 'BEAST2' input files without active user input, but using R function calls instead.
License: GPL-3
VignetteBuilder: knitr
URL: https://docs.ropensci.org/beautier/, https://github.com/ropensci/beautier
BugReports: https://github.com/ropensci/beautier/issues
Imports: ape, rappdirs, purrr, rlang (>= 1.1.0), seqinr, stringr
Suggests: spelling, knitr, markdown, readr, rmarkdown, testthat (>= 2.1.0)
Language: en-US
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-11-02 11:24:27 UTC; richel
Author: Richel J.C. Bilderbeek [aut, cre] , Joelle Barido-Sottani [rev] , David Winter [rev] , Paul Van Els [ctb] , Raphael Scherrer [ctb] , Yacine B. Chehida [ctb] , Katharine S. Walter [ctb] , Gary Napier [ctb] , Jason Griffiths [ctb] , Thijs Janzen [ctb] [...truncated...]
Maintainer: Richel J.C. Bilderbeek <richel@richelbilderbeek.nl>
Repository: CRAN
Date/Publication: 2023-11-02 13:20:06 UTC

More information about beautier at CRAN
Permanent link

Package rworkflows updated to version 1.0.0 with previous version 0.99.13 dated 2023-09-14

Title: Test, Document, Containerise, and Deploy R Packages
Description: Reproducibility is essential to the progress of research, yet achieving it remains elusive even in computational fields. Continuous Integration (CI) platforms offer a powerful way to launch automated workflows to check and document code, but often require considerable time, effort, and technical expertise to setup. We therefore developed the rworkflows suite to make robust CI workflows easy and freely accessible to all R package developers. rworkflows consists of 1) a CRAN/Bioconductor-compatible R package template, 2) an R package to quickly implement a standardised workflow, and 3) a centrally maintained GitHub Action.
Author: Brian Schilder [aut, cre] , Alan Murphy [aut, ctb] , Nathan Skene [aut]
Maintainer: Brian Schilder <brian_schilder@alumni.brown.edu>

Diff between rworkflows versions 0.99.13 dated 2023-09-14 and 1.0.0 dated 2023-11-02

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Package STMr updated to version 0.1.6 with previous version 0.1.5 dated 2022-09-17

Title: Strength Training Manual R-Language Functions
Description: Strength training prescription using percent-based approach requires numerous computations and assumptions. 'STMr' package allow users to estimate individual reps-max relationships, implement various progression tables, and create numerous set and rep schemes. The 'STMr' package is originally created as a tool to help writing Jovanović M. (2020) Strength Training Manual <ISBN:979-8604459898>.
Author: Mladen Jovanovic [aut, cre]
Maintainer: Mladen Jovanovic <coach.mladen.jovanovic@gmail.com>

Diff between STMr versions 0.1.5 dated 2022-09-17 and 0.1.6 dated 2023-11-02

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Package RSiena updated to version 1.4.1 with previous version 1.3.14.4 dated 2023-07-18

Title: Siena - Simulation Investigation for Empirical Network Analysis
Description: The main purpose of this package is to perform simulation-based estimation of stochastic actor-oriented models for longitudinal network data collected as panel data. Dependent variables can be single or multivariate networks, which can be directed, non-directed, or two-mode; and associated actor variables. There are also functions for testing parameters and checking goodness of fit. An overview of these models is given in Snijders (2017), <doi:10.1146/annurev-statistics-060116-054035>.
Author: Tom A.B. Snijders [cre, aut] , Ruth M. Ripley [aut], Krists Boitmanis [aut, ctb], Christian Steglich [aut, ctb] , Johan Koskinen [ctb] , Nynke M.D. Niezink [aut, ctb] , Viviana Amati [aut, ctb] , Christoph Stadtfeld [ctb] , James Hollway [ctb] , Per [...truncated...]
Maintainer: Tom A.B. Snijders <tom.snijders@nuffield.ox.ac.uk>

Diff between RSiena versions 1.3.14.4 dated 2023-07-18 and 1.4.1 dated 2023-11-02

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 RSiena-1.4.1/RSiena/R/sienaRI.r                                                               |    2 
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 RSiena-1.4.1/RSiena/R/sienaTimeTest.r                                                         |   49 
 RSiena-1.4.1/RSiena/R/sienaeffects.r                                                          |    5 
 RSiena-1.4.1/RSiena/R/sienaprint.r                                                            |   12 
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 RSiena-1.4.1/RSiena/R/sienautils.r                                                            |   49 
 RSiena-1.4.1/RSiena/R/simstatsc.r                                                             |    2 
 RSiena-1.4.1/RSiena/R/zzz.R                                                                   |    2 
 RSiena-1.4.1/RSiena/data/allEffects.R                                                         |    2 
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 RSiena-1.4.1/RSiena/inst/CITATION                                                             |   54 
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 RSiena-1.4.1/RSiena/man/coCovar.Rd                                                            |    4 
 RSiena-1.4.1/RSiena/man/coDyadCovar.Rd                                                        |    2 
 RSiena-1.4.1/RSiena/man/edit.sienaEffects.Rd                                                  |    2 
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 RSiena-1.4.1/RSiena/man/funnelPlot.Rd                                                         |    4 
 RSiena-1.4.1/RSiena/man/getEffects.Rd                                                         |   18 
 RSiena-1.4.1/RSiena/man/hn3401.Rd                                                             |   26 
 RSiena-1.4.1/RSiena/man/includeEffects.Rd                                                     |    9 
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 RSiena-1.4.1/RSiena/man/includeInteraction.Rd                                                 |   38 
 RSiena-1.4.1/RSiena/man/includeTimeDummy.Rd                                                   |    6 
 RSiena-1.4.1/RSiena/man/iwlsm.Rd                                                              |    2 
 RSiena-1.4.1/RSiena/man/maxlikefn.Rd                                                          |    6 
 RSiena-1.4.1/RSiena/man/n3401.Rd                                                              |   26 
 RSiena-1.4.1/RSiena/man/plot.sienaTimeTest.Rd                                                 |   17 
 RSiena-1.4.1/RSiena/man/print.sienaEffects.Rd                                                 |    6 
 RSiena-1.4.1/RSiena/man/print.sienaMeta.Rd                                                    |   16 
 RSiena-1.4.1/RSiena/man/print.sienaTest.Rd                                                    |    4 
 RSiena-1.4.1/RSiena/man/print01Report.Rd                                                      |    2 
 RSiena-1.4.1/RSiena/man/s50.Rd                                                                |   18 
 RSiena-1.4.1/RSiena/man/s501.Rd                                                               |   17 
 RSiena-1.4.1/RSiena/man/s502.Rd                                                               |   17 
 RSiena-1.4.1/RSiena/man/s503.Rd                                                               |   17 
 RSiena-1.4.1/RSiena/man/s50a.Rd                                                               |   17 
 RSiena-1.4.1/RSiena/man/s50s.Rd                                                               |   17 
 RSiena-1.4.1/RSiena/man/setEffect.Rd                                                          |   13 
 RSiena-1.4.1/RSiena/man/siena07.Rd                                                            |  141 +-
 RSiena-1.4.1/RSiena/man/siena08.Rd                                                            |   10 
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 RSiena-1.4.1/RSiena/man/sienaCompositionChange.Rd                                             |   18 
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 RSiena-1.4.1/RSiena/man/sienaDataCreate.Rd                                                    |   27 
 RSiena-1.4.1/RSiena/man/sienaDependent.Rd                                                     |   15 
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 RSiena-1.4.1/RSiena/man/sienaGroupCreate.Rd                                                   |    4 
 RSiena-1.4.1/RSiena/man/sienaNodeSet.Rd                                                       |    6 
 RSiena-1.4.1/RSiena/man/sienaRI.Rd                                                            |   52 
 RSiena-1.4.1/RSiena/man/sienaTimeTest.Rd                                                      |   33 
 RSiena-1.4.1/RSiena/man/simstats0c.Rd                                                         |    8 
 RSiena-1.4.1/RSiena/man/summary.iwlsm.Rd                                                      |    4 
 RSiena-1.4.1/RSiena/man/tmp3.Rd                                                               |   14 
 RSiena-1.4.1/RSiena/man/tmp4.Rd                                                               |   14 
 RSiena-1.4.1/RSiena/man/updateTheta.Rd                                                        |   10 
 RSiena-1.4.1/RSiena/man/varCovar.Rd                                                           |    2 
 RSiena-1.4.1/RSiena/man/varDyadCovar.Rd                                                       |    2 
 RSiena-1.4.1/RSiena/man/xtable.Rd                                                             |    2 
 RSiena-1.4.1/RSiena/src/Makevars.in                                                           |    2 
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 RSiena-1.4.1/RSiena/src/init.cpp                                                              |    9 
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 RSiena-1.4.1/RSiena/src/model/Model.cpp                                                       |    4 
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 RSiena-1.4.1/RSiena/src/model/ml/Chain.cpp                                                    |   14 
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 RSiena-1.4.1/RSiena/src/siena07internals.cpp                                                  |  373 +++---
 RSiena-1.4.1/RSiena/src/siena07models.cpp                                                     |  331 ++++-
 RSiena-1.4.1/RSiena/src/siena07models.h                                                       |    4 
 RSiena-1.4.1/RSiena/src/siena07setup.cpp                                                      |  202 +--
 RSiena-1.4.1/RSiena/src/siena07setup.h                                                        |    1 
 RSiena-1.4.1/RSiena/src/siena07utilities.cpp                                                  |  403 +++----
 RSiena-1.4.1/RSiena/src/siena07utilities.h                                                    |    2 
 RSiena-1.4.1/RSiena/src/sources.list                                                          |    2 
 RSiena-1.4.1/RSiena/src/utils/Random.cpp                                                      |    9 
 RSiena-1.4.1/RSiena/tests/parallel.R                                                          |   10 
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Package quanteda.textstats updated to version 0.96.4 with previous version 0.96.3 dated 2023-08-09

Title: Textual Statistics for the Quantitative Analysis of Textual Data
Description: Textual statistics functions formerly in the 'quanteda' package. Textual statistics for characterizing and comparing textual data. Includes functions for measuring term and document frequency, the co-occurrence of words, similarity and distance between features and documents, feature entropy, keyword occurrence, readability, and lexical diversity. These functions extend the 'quanteda' package and are specially designed for sparse textual data.
Author: Kenneth Benoit [cre, aut, cph] , Kohei Watanabe [aut] , Haiyan Wang [aut] , Jiong Wei Lua [aut], Jouni Kuha [aut] , European Research Council [fnd]
Maintainer: Kenneth Benoit <kbenoit@lse.ac.uk>

Diff between quanteda.textstats versions 0.96.3 dated 2023-08-09 and 0.96.4 dated 2023-11-02

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Package migraph updated to version 1.1.5 with previous version 1.1.0 dated 2023-10-04

Title: Multimodal Network Analysis and More
Description: A set of tools for analysing multimodal networks. It includes functions for measuring centrality, centralization, cohesion, closure, constraint and diversity, as well as for network block-modelling, regression, and diffusion models. The package is released as a complement to 'Multimodal Political Networks' (2021, ISBN:9781108985000), and includes various datasets used in the book. Built on the 'manynet' package, all functions operate with matrices, edge lists, and 'igraph', 'network', and 'tidygraph' objects, and on one-mode, two-mode (bipartite), and sometimes three-mode networks.
Author: James Hollway [cre, aut, ctb] , Henrique Sposito [ctb] , Jael Tan [ctb] , Bernhard Bieri [ctb]
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>

Diff between migraph versions 1.1.0 dated 2023-10-04 and 1.1.5 dated 2023-11-02

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Package manynet updated to version 0.2.8 with previous version 0.2.3 dated 2023-09-17

Title: Many Ways to Make, Manipulate, and Map Myriad Networks
Description: A set of tools for making, manipulating, and mapping many different types of networks. All functions operate with matrices, edge lists, and 'igraph', 'network', and 'tidygraph' objects, and on one-mode, two-mode (bipartite), and sometimes three-mode networks. The package includes functions for importing and exporting, creating and generating networks, molding and manipulating networks and node and tie attributes, and describing and visualizing networks with sensible defaults.
Author: James Hollway [cre, aut, ctb] , Henrique Sposito [ctb]
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>

Diff between manynet versions 0.2.3 dated 2023-09-17 and 0.2.8 dated 2023-11-02

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Package mFD updated to version 1.0.6 with previous version 1.0.5 dated 2023-09-07

Title: Compute and Illustrate the Multiple Facets of Functional Diversity
Description: Computing functional traits-based distances between pairs of species for species gathered in assemblages allowing to build several functional spaces. The package allows to compute functional diversity indices assessing the distribution of species (and of their dominance) in a given functional space for each assemblage and the overlap between assemblages in a given functional space, see: Chao et al. (2018) <doi:10.1002/ecm.1343>, Maire et al. (2015) <doi:10.1111/geb.12299>, Mouillot et al. (2013) <doi:10.1016/j.tree.2012.10.004>, Mouillot et al. (2014) <doi:10.1073/pnas.1317625111>, Ricotta and Szeidl (2009) <doi:10.1016/j.tpb.2009.10.001>. Graphical outputs are included. Visit the 'mFD' website for more information, documentation and examples.
Author: Camille Magneville [aut, cre, cph] , Nicolas Loiseau [aut] , Camille Albouy [aut] , Nicolas Casajus [aut] , Thomas Claverie [aut] , Arthur Escalas [aut] , Fabien Leprieur [aut] , Eva Maire [aut] , David Mouillot [aut] , Sebastien Villeger [aut]
Maintainer: Camille Magneville <camille.magneville@gmail.com>

Diff between mFD versions 1.0.5 dated 2023-09-07 and 1.0.6 dated 2023-11-02

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New package shortIRT with initial version 0.1.0
Package: shortIRT
Title: Procedures Based on Item Response Theory Models for the Development of Short Test Forms
Version: 0.1.0
Author: Ottavia M. Epifania [aut, cre, cph] Pasquale Anselmi [aut, ctb] Egidio Robusto [ctb]
Maintainer: Ottavia M. Epifania <ottavia.epifania@unipd.it>
Description: Implement different Item Response Theory (IRT) based procedures for the development of static short test forms (STFs) from a test. Two main procedures are considered, specifically the typical IRT-based procedure for the development of STF, and a recently introduced procedure (Epifania, Anselmi & Robusto, 2022 <doi:10.1007/978-3-031-27781-8_7>). The procedures differ in how the most informative items are selected for the inclusion in the STF, either by considering their item information functions without considering any specific level of the latent trait (typical procedure) or by considering their informativeness with respect to specific levels of the latent trait, denoted as theta targets (the newly introduced procedure). Regarding the latter procedure, three methods are implemented for the definition of the theta targets: (i) theta targets are defined by segmenting the latent trait in equal intervals and considering the midpoint of each interval (equal interval procedure, ei [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats, TAM, dplyr, ggplot2
Suggests: rmarkdown, sirt, testthat (>= 3.0.0), V8
NeedsCompilation: no
Packaged: 2023-11-02 06:34:20 UTC; huawei
Repository: CRAN
Date/Publication: 2023-11-02 08:20:02 UTC

More information about shortIRT at CRAN
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Package RGAP updated to version 0.1.1 with previous version 0.1.0 dated 2023-06-01

Title: Production Function Output Gap Estimation
Description: The output gap indicates the percentage difference between the actual output of an economy and its potential. Since potential output is a latent process, the estimation of the output gap poses a challenge and numerous filtering techniques have been proposed. 'RGAP' facilitates the estimation of a Cobb-Douglas production function type output gap, as suggested by the European Commission (Havik et al. 2014) <https://ideas.repec.org/p/euf/ecopap/0535.html>. To that end, the non-accelerating wage rate of unemployment (NAWRU) and the trend of total factor productivity (TFP) can be estimated in two bivariate unobserved component models by means of Kalman filtering and smoothing. 'RGAP' features a flexible modeling framework for the appropriate state-space models and offers frequentist as well as Bayesian estimation techniques. Additional functionalities include direct access to the 'AMECO' <https://economy-finance.ec.europa.eu/economic-research-and-databases/economic-databases/ameco- [...truncated...]
Author: Sina Streicher [aut, cre]
Maintainer: Sina Streicher <streicher@kof.ethz.ch>

Diff between RGAP versions 0.1.0 dated 2023-06-01 and 0.1.1 dated 2023-11-02

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Package localScore updated to version 1.0.10 with previous version 1.0.8 dated 2022-05-17

Title: Package for Sequence Analysis by Local Score
Description: Functionalities for calculating the local score and calculating statistical relevance (p-value) to find a local Score in a sequence of given distribution (S. Mercier and J.-J. Daudin (2001) <https://hal.science/hal-00714174/>) ; S. Karlin and S. Altschul (1990) <https://www.ncbi.nlm.nih.gov/pmc/articles/PMC53667/> ; S. Mercier, D. Cellier and F. Charlot (2003) <https://hal.science/hal-00937529v1/> ; A. Lagnoux, S. Mercier and P. Valois (2017) <doi:10.1093/bioinformatics/btw699> ).
Author: Sebastian Simon [aut], David Robelin [aut, cre], Sabine Mercier [aut], Sebastien Dejean [aut], The authors of Eigen the library for the included version of Eigen [cph]
Maintainer: David Robelin <david.robelin@inrae.fr>

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 localScore-1.0.10/localScore/src/Eigen/src/Core/SolverBase.h                                     |   44 
 localScore-1.0.10/localScore/src/Eigen/src/Core/StableNorm.h                                     |  170 
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 localScore-1.0.10/localScore/src/Eigen/src/Core/Transpose.h                                      |  115 
 localScore-1.0.10/localScore/src/Eigen/src/Core/Transpositions.h                                 |   75 
 localScore-1.0.10/localScore/src/Eigen/src/Core/TriangularMatrix.h                               |  168 
 localScore-1.0.10/localScore/src/Eigen/src/Core/VectorBlock.h                                    |   10 
 localScore-1.0.10/localScore/src/Eigen/src/Core/VectorwiseOp.h                                   |  229 
 localScore-1.0.10/localScore/src/Eigen/src/Core/Visitor.h                                        |  166 
 localScore-1.0.10/localScore/src/Eigen/src/Core/arch/AVX/Complex.h                               |  215 
 localScore-1.0.10/localScore/src/Eigen/src/Core/arch/AVX/MathFunctions.h                         |  467 -
 localScore-1.0.10/localScore/src/Eigen/src/Core/arch/AVX/PacketMath.h                            | 1271 ++
 localScore-1.0.10/localScore/src/Eigen/src/Core/arch/AVX/TypeCasting.h                           |   66 
 localScore-1.0.10/localScore/src/Eigen/src/Core/arch/AVX512/Complex.h                            |only
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 localScore-1.0.10/localScore/src/Eigen/src/Core/arch/AVX512/PacketMath.h                         | 1989 +++-
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 localScore-1.0.10/localScore/src/Eigen/src/Core/arch/NEON/MathFunctions.h                        |  122 
 localScore-1.0.10/localScore/src/Eigen/src/Core/arch/NEON/PacketMath.h                           | 4628 +++++++++-
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 localScore-1.0.10/localScore/src/Eigen/src/Core/arch/SSE/PacketMath.h                            | 1213 +-
 localScore-1.0.10/localScore/src/Eigen/src/Core/arch/SSE/TypeCasting.h                           |   93 
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 localScore-1.0.10/localScore/src/Eigen/src/Core/arch/ZVector/PacketMath.h                        |  883 +
 localScore-1.0.10/localScore/src/Eigen/src/Core/functors/AssignmentFunctors.h                    |   13 
 localScore-1.0.10/localScore/src/Eigen/src/Core/functors/BinaryFunctors.h                        |  183 
 localScore-1.0.10/localScore/src/Eigen/src/Core/functors/NullaryFunctors.h                       |   61 
 localScore-1.0.10/localScore/src/Eigen/src/Core/functors/StlFunctors.h                           |   36 
 localScore-1.0.10/localScore/src/Eigen/src/Core/functors/UnaryFunctors.h                         |  371 
 localScore-1.0.10/localScore/src/Eigen/src/Core/products/GeneralBlockPanelKernel.h               | 1664 ++-
 localScore-1.0.10/localScore/src/Eigen/src/Core/products/GeneralMatrixMatrix.h                   |   73 
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 localScore-1.0.10/localScore/src/Eigen/src/Core/products/GeneralMatrixMatrix_BLAS.h              |   25 
 localScore-1.0.10/localScore/src/Eigen/src/Core/products/GeneralMatrixVector.h                   |  899 -
 localScore-1.0.10/localScore/src/Eigen/src/Core/products/GeneralMatrixVector_BLAS.h              |   19 
 localScore-1.0.10/localScore/src/Eigen/src/Core/products/Parallelizer.h                          |   27 
 localScore-1.0.10/localScore/src/Eigen/src/Core/products/SelfadjointMatrixMatrix.h               |   83 
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 localScore-1.0.10/localScore/src/Eigen/src/Core/products/SelfadjointMatrixVector_BLAS.h          |    9 
 localScore-1.0.10/localScore/src/Eigen/src/Core/products/SelfadjointProduct.h                    |    8 
 localScore-1.0.10/localScore/src/Eigen/src/Core/products/SelfadjointRank2Update.h                |    9 
 localScore-1.0.10/localScore/src/Eigen/src/Core/products/TriangularMatrixMatrix.h                |   95 
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 localScore-1.0.10/localScore/src/Eigen/src/Core/products/TriangularSolverMatrix.h                |   70 
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 localScore-1.0.10/localScore/src/Eigen/src/Eigenvalues/EigenSolver.h                             |    4 
 localScore-1.0.10/localScore/src/Eigen/src/Eigenvalues/GeneralizedEigenSolver.h                  |    5 
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 localScore-1.0.10/localScore/src/Eigen/src/Eigenvalues/HessenbergDecomposition.h                 |    4 
 localScore-1.0.10/localScore/src/Eigen/src/Eigenvalues/MatrixBaseEigenvalues.h                   |    6 
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 localScore-1.0.10/localScore/src/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h                |  111 
 localScore-1.0.10/localScore/src/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h          |   90 
 localScore-1.0.10/localScore/src/Eigen/src/IterativeLinearSolvers/LeastSquareConjugateGradient.h |   22 
 localScore-1.0.10/localScore/src/Eigen/src/IterativeLinearSolvers/SolveWithGuess.h               |   20 
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 localScore-1.0.10/localScore/src/Eigen/src/QR/CompleteOrthogonalDecomposition.h                  |  127 
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 localScore-1.0.10/localScore/src/Eigen/src/SparseCore/AmbiVector.h                               |    7 
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 localScore-1.0.10/localScore/src/Eigen/src/SparseCore/SparseCwiseUnaryOp.h                       |    6 
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 localScore-1.0.10/localScore/src/Eigen/src/SparseCore/SparseMatrixBase.h                         |   17 
 localScore-1.0.10/localScore/src/Eigen/src/SparseCore/SparseProduct.h                            |   14 
 localScore-1.0.10/localScore/src/Eigen/src/SparseCore/SparseRef.h                                |   14 
 localScore-1.0.10/localScore/src/Eigen/src/SparseCore/SparseSelfAdjointView.h                    |   15 
 localScore-1.0.10/localScore/src/Eigen/src/SparseCore/SparseSparseProductWithPruning.h           |   22 
 localScore-1.0.10/localScore/src/Eigen/src/SparseCore/SparseUtil.h                               |    8 
 localScore-1.0.10/localScore/src/Eigen/src/SparseCore/SparseVector.h                             |    2 
 localScore-1.0.10/localScore/src/Eigen/src/SparseCore/SparseView.h                               |    1 
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 localScore-1.0.10/localScore/src/Eigen/src/SparseLU/SparseLU_panel_bmod.h                        |    2 
 localScore-1.0.10/localScore/src/Eigen/src/SparseQR/SparseQR.h                                   |   51 
 localScore-1.0.10/localScore/src/Eigen/src/StlSupport/StdDeque.h                                 |   14 
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 localScore-1.0.10/localScore/src/pValueMethods.h                                                 |   23 
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 341 files changed, 27997 insertions(+), 12547 deletions(-)

More information about localScore at CRAN
Permanent link

Package iccTraj updated to version 1.0.4 with previous version 1.0.3 dated 2023-09-18

Title: Estimates the Intraclass Correlation Coefficient for Trajectory Data
Description: Estimates the intraclass correlation coefficient for trajectory data using a matrix of distances between trajectories. The distances implemented are the extended Hausdorff distances (Min et al. 2007) <doi:10.1080/13658810601073315> and the discrete Fréchet distance (Magdy et al. 2015) <doi:10.1109/IntelCIS.2015.7397286>.
Author: Josep L. Carrasco [aut, cre]
Maintainer: Josep L. Carrasco <jlcarrasco@ub.edu>

Diff between iccTraj versions 1.0.3 dated 2023-09-18 and 1.0.4 dated 2023-11-02

 DESCRIPTION    |    6 +++---
 MD5            |    6 +++---
 R/functions.R  |    9 +++++----
 man/iccTraj.Rd |    2 +-
 4 files changed, 12 insertions(+), 11 deletions(-)

More information about iccTraj at CRAN
Permanent link

New package india with initial version 0.1
Package: india
Version: 0.1
Title: Influence Diagnostics in Statistical Models
Date: 2023-11-01
Maintainer: Felipe Osorio <felipe.osorios@usm.cl>
Description: Set of routines for influence diagnostics by using case-deletion in ordinary least squares, ridge estimation [Walker and Birch (1988). <doi:10.1080/00401706.1988.10488370>] and least absolute deviations (LAD) regression [Sun and Wei (2004). <doi:10.1016/j.spl.2003.08.018>].
Depends: R(>= 3.5.0), fastmatrix, L1pack
Imports: stats
License: GPL-3
LazyLoad: yes
NeedsCompilation: no
Packaged: 2023-11-01 23:17:02 UTC; root
Author: Felipe Osorio [aut, cre]
Repository: CRAN
Date/Publication: 2023-11-02 07:50:02 UTC

More information about india at CRAN
Permanent link

New package BayesianFactorZoo with initial version 0.0.0.1
Package: BayesianFactorZoo
Title: Bayesian Solutions for the Factor Zoo: We Just Ran Two Quadrillion Models
Version: 0.0.0.1
Description: Contains the functions to use the econometric methods in the paper Bryzgalova, Huang, and Julliard (2023) <doi:10.1111/jofi.13197>. In this package, we provide a novel Bayesian framework for analyzing linear asset pricing models: simple, robust, and applicable to high-dimensional problems. For a stand-alone model, we provide functions including BayesianFM() and BayesianSDF() to deliver reliable price of risk estimates for both tradable and nontradable factors. For competing factors and possibly nonnested models, we provide functions including continuous_ss_sdf(), continuous_ss_sdf_v2(), and dirac_ss_sdf_pvalue() to analyze high-dimensional models. If you use this package, please cite the paper. We are thankful to Jingtong Zhang for his research assistance. Any errors or omissions are the responsibility of the authors.
Imports: MCMCpack, reshape2, MASS, timeSeries, coda, mvtnorm, matrixcalc, ggplot2, nse, Rdpack, stats, utils, Matrix
Encoding: UTF-8
License: GPL-3
LazyData: true
NeedsCompilation: no
Packaged: 2023-11-01 17:58:47 UTC; jiantaohuang
Author: Svetlana Bryzgalova [aut], Jiantao Huang [cre], Christian Julliard [aut]
Maintainer: Jiantao Huang <huangjt@hku.hk>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2023-11-02 07:40:02 UTC

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Package AHPtools updated to version 0.2.1 with previous version 0.2.0 dated 2023-08-08

Title: Consistency in the Analytic Hierarchy Process
Description: A Swiss Army knife of utility functions for users of the Analytic Hierarchy Process (AHP) which will help you to assess the consistency of a PCM as well as to improve its consistency ratio, to compute the sensitivity of a PCM, create a logical, not a random PCM, from the preferences you provide for the alternatives, and a function that helps evaluate the actual consistency of a PCM based on objective, fair bench marking. The various functions in the toolkit additionally provide the flexibility to users to specify only the upper triangular comparison ratios of the PCM in order to performs its assigned task.
Author: Amarnath Bose [aut, cre]
Maintainer: Amarnath Bose <amarnath.bose@gmail.com>

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Package gps updated to version 1.2 with previous version 1.1 dated 2023-04-30

Title: General P-Splines
Description: General P-splines are non-uniform B-splines penalized by a general difference penalty, proposed by Li and Cao (2022) <arXiv:2201.06808>. Constructible on arbitrary knots, they extend the standard P-splines of Eilers and Marx (1996) <doi:10.1214/ss/1038425655>. They are also related to the O-splines of O'Sullivan (1986) <doi:10.1214/ss/1177013525> via a sandwich formula that links a general difference penalty to a derivative penalty. The package includes routines for setting up and handling difference and derivative penalties. It also fits P-splines and O-splines to (x, y) data (optionally weighted) for a grid of smoothing parameter values in the automatic search intervals of Li and Cao (2023) <doi:10.1007/s11222-022-10178-z>. It aims to facilitate other packages to implement P-splines or O-splines as a smoothing tool in their model estimation framework.
Author: Zheyuan Li [aut, cre]
Maintainer: Zheyuan Li <zheyuan.li@bath.edu>

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Package scitb updated to version 0.1.2 with previous version 0.1.0 dated 2023-10-26

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 cthist updated to version 2.1.3 with previous version 2.1.0 dated 2023-07-10

Title: Clinical Trial Registry History
Description: Retrieves historical versions of clinical trial registry entries from <https://ClinicalTrials.gov>. Package functionality and implementation is documented in Carlisle (2022) <DOI:10.1371/journal.pone.0270909>.
Author: Benjamin Gregory Carlisle [aut, cre]
Maintainer: Benjamin Gregory Carlisle <murph@bgcarlisle.com>

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Package tectonicr updated to version 0.2.95 with previous version 0.2.93 dated 2023-09-22

Title: Analyzing the Orientation of Maximum Horizontal Stress
Description: Models the direction of the maximum horizontal stress using relative plate motion parameters. Statistical algorithms to evaluate the modeling results compared with the observed data. Provides plots to visualize the results. Methods described in Stephan et al. (2023) <doi:10.1038/s41598-023-42433-2> and Wdowinski (1998) <doi:10.1016/S0079-1946(98)00091-3>.
Author: Tobias Stephan [aut, cre]
Maintainer: Tobias Stephan <tobias.stephan1@yahoo.com>

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