Thu, 25 May 2023

Package Rsagacmd updated to version 0.4.0 with previous version 0.2.0 dated 2022-04-04

Title: Linking R with the Open-Source 'SAGA-GIS' Software
Description: Provides an R scripting interface to the open-source 'SAGA-GIS' (System for Automated Geoscientific Analyses Geographical Information System) software. 'Rsagacmd' dynamically generates R functions for every 'SAGA-GIS' geoprocessing tool based on the user's currently installed 'SAGA-GIS' version. These functions are contained within an S3 object and are accessed as a named list of libraries and tools. This structure facilitates an easier scripting experience by organizing the large number of 'SAGA-GIS' geoprocessing tools (>700) by their respective library. Interactive scripting can fully take advantage of code autocompletion tools (e.g. in 'Rstudio'), allowing for each tools syntax to be quickly recognized. Furthermore, the most common types of spatial data (via the 'terra', 'sp', and 'sf' packages) along with non-spatial data are automatically passed from R to the 'SAGA-GIS' command line tool for geoprocessing operations, and the results are loaded as the appropriate R object. Outp [...truncated...]
Author: Steven Pawley [aut, cre]
Maintainer: Steven Pawley <dr.stevenpawley@gmail.com>

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Package DALEXtra updated to version 2.3.0 with previous version 2.2.1 dated 2022-06-14

Title: Extension for 'DALEX' Package
Description: Provides wrapper of various machine learning models. In applied machine learning, there is a strong belief that we need to strike a balance between interpretability and accuracy. However, in field of the interpretable machine learning, there are more and more new ideas for explaining black-box models, that are implemented in 'R'. 'DALEXtra' creates 'DALEX' Biecek (2018) <arXiv:1806.08915> explainer for many type of models including those created using 'python' 'scikit-learn' and 'keras' libraries, and 'java' 'h2o' library. Important part of the package is Champion-Challenger analysis and innovative approach to model performance across subsets of test data presented in Funnel Plot.
Author: Szymon Maksymiuk [aut, cre] , Przemyslaw Biecek [aut] , Hubert Baniecki [aut], Anna Kozak [ctb]
Maintainer: Szymon Maksymiuk <sz.maksymiuk@gmail.com>

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Package nlmixr2est updated to version 2.1.6 with previous version 2.1.5 dated 2023-04-22

Title: Nonlinear Mixed Effects Models in Population PK/PD, Estimation Routines
Description: Fit and compare nonlinear mixed-effects models in differential equations with flexible dosing information commonly seen in pharmacokinetics and pharmacodynamics (Almquist, Leander, and Jirstrand 2015 <doi:10.1007/s10928-015-9409-1>). Differential equation solving is by compiled C code provided in the 'rxode2' package (Wang, Hallow, and James 2015 <doi:10.1002/psp4.12052>).
Author: Matthew Fidler [aut, cre] , Yuan Xiong [aut], Rik Schoemaker [aut] , Justin Wilkins [aut] , Wenping Wang [aut], Robert Leary [ctb], Mason McComb [ctb] , Vipul Mann [aut], Mirjam Trame [ctb], Mahmoud Abdelwahab [ctb], Teun Post [ctb], Richard Hooijmai [...truncated...]
Maintainer: Matthew Fidler <matt.fidler@novartis.com>

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Package h2o updated to version 3.40.0.4 with previous version 3.40.0.1 dated 2023-02-24

Title: R Interface for the 'H2O' Scalable Machine Learning Platform
Description: R interface for 'H2O', the scalable open source machine learning platform that offers parallelized implementations of many supervised and unsupervised machine learning algorithms such as Generalized Linear Models (GLM), Gradient Boosting Machines (including XGBoost), Random Forests, Deep Neural Networks (Deep Learning), Stacked Ensembles, Naive Bayes, Generalized Additive Models (GAM), ANOVA GLM, Cox Proportional Hazards, K-Means, PCA, ModelSelection, Word2Vec, as well as a fully automatic machine learning algorithm (H2O AutoML).
Author: Tomas Fryda [aut, cre], Erin LeDell [aut], Navdeep Gill [aut], Spencer Aiello [aut], Anqi Fu [aut], Arno Candel [aut], Cliff Click [aut], Tom Kraljevic [aut], Tomas Nykodym [aut], Patrick Aboyoun [aut], Michal Kurka [aut], Michal Malohlava [aut], Seb [...truncated...]
Maintainer: Tomas Fryda <tomas.fryda@h2o.ai>

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Package async updated to version 0.3.2 with previous version 0.3.1 dated 2023-03-22

Title: Coroutines: Generators / Yield, Async / Await, and Streams
Description: Write sequential-looking code that pauses and resumes. gen() creates a generator, an iterator that returns a value and pauses each time it reaches a yield() call. async() creates a promise, which runs until it reaches a call to await(), then resumes when information is available. These work similarly to generator and async constructs from 'Python' or 'JavaScript'. Objects produced are compatible with the 'iterators' and 'promises' packages. Version 0.3 supports on.exit, single-step debugging, stream() for making asynchronous iterators, and delimited goto() in switch() calls.
Author: Peter Meilstrup [aut, cre]
Maintainer: Peter Meilstrup <peter.meilstrup@gmail.com>

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Package CausalGPS updated to version 0.4.0 with previous version 0.3.1 dated 2023-05-16

Title: Matching on Generalized Propensity Scores with Continuous Exposures
Description: Provides a framework for estimating causal effects of a continuous exposure using observational data, and implementing matching and weighting on the generalized propensity score. Wu, X., Mealli, F., Kioumourtzoglou, M.A., Dominici, F. and Braun, D., 2022. Matching on generalized propensity scores with continuous exposures. Journal of the American Statistical Association, pp.1-29.
Author: Naeem Khoshnevis [aut, cre] , Xiao Wu [aut] , Danielle Braun [aut]
Maintainer: Naeem Khoshnevis <nkhoshnevis@g.harvard.edu>

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New package sqlHelpers with initial version 0.1.0
Package: sqlHelpers
Title: Collection of 'SQL' Utilities for 'T-SQL' and 'Postgresql'
Version: 0.1.0
Description: Includes functions for interacting with common meta data fields, writing insert statements, calling functions, and more for 'T-SQL' and 'Postgresql'.
License: GPL (>= 3)
Encoding: UTF-8
Depends: data.table, toolbox
Imports: DBI, odbc, parallel, stringi
NeedsCompilation: no
Packaged: 2023-05-25 02:12:34 UTC; tim
Author: Timothy Conwell [aut, cre]
Maintainer: Timothy Conwell <timconwell@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-25 20:20:03 UTC

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New package countDM with initial version 0.1.0
Package: countDM
Title: Estimation of Count Data Models
Version: 0.1.0
Author: Muhammad Imran [aut, cre], M.H. Tahir [aut], Saima Shakoor [aut]
Maintainer: Muhammad Imran <imranshakoor84@yahoo.com>
Depends: R (>= 4.0)
Imports: lamW, stats, numbers, maxLik, miscTools
Description: The maximum likelihood estimation (MLE) of the count data models along with standard error of the estimates and Akaike information model section criterion are provided. The functions allow to compute the MLE for the following distributions such as the Bell distribution, the Borel distribution, the Poisson distribution, zero inflated Bell distribution, zero inflated Bell Touchard distribution, zero inflated Poisson distribution, zero one inflated Bell distribution and zero one inflated Poisson distribution. Moreover, the probability mass function (PMF), distribution function (CDF), quantile function (QF) and random numbers generation of the Bell Touchard and zero inflated Bell Touchard distribution are also provided.
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-05-24 17:44:35 UTC; CRS
Repository: CRAN
Date/Publication: 2023-05-25 20:10:02 UTC

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New package CooRTweet with initial version 1.3
Package: CooRTweet
Version: 1.3
Date: 2023-05-17
Title: Coordinated Networks Detection on Social Media
Description: Detects a variety of coordinated actions on Twitter and outputs the network of coordinated users along with related information.
Author: Nicola Righetti [aut, cre] , Paul Balluff [aut]
Maintainer: Nicola Righetti <nicola.righetti@univie.ac.at>
URL: https://github.com/nicolarighetti/CooRTweet
BugReports: https://github.com/nicolarighetti/CooRTweet/issues
License: MIT + file LICENSE
Encoding: UTF-8
Imports: data.table, tidytable, RcppSimdJson, Matrix, lubridate, igraph, stringi
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 2.10)
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-05-24 18:41:11 UTC; righetti
Repository: CRAN
Date/Publication: 2023-05-25 20:20:05 UTC

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New package optical with initial version 1.7.1
Package: optical
Title: Optimal Item Calibration
Version: 1.7.1
Date: 2023-05-24
Depends: R (>= 4.1.0)
Description: The restricted optimal design method is implemented to optimally allocate a set of items that require calibration to a group of examinees. The optimization process is based on the method described in detail by Ul Hassan and Miller in their works published in (2019) <doi:10.1177/0146621618824854> and (2021) <doi:10.1016/j.csda.2021.107177>. To use the method, preliminary item characteristics must be provided as input. These characteristics can either be expert guesses or based on previous calibration with a small number of examinees. The item characteristics should be described in the form of parameters for an Item Response Theory (IRT) model. These models can include the Rasch model, the 2-parameter logistic model, the 3-parameter logistic model, or a mixture of these models. The output consists of a set of rules for each item that determine which examinees should be assigned to each item. The efficiency or gain achieved through the optimal design is quantified by comparing [...truncated...]
Author: Mahmood Ul Hassan [aut, cre] , Frank Miller [aut]
Encoding: UTF-8
License: GPL (>= 3)
License_restricts_use: no
Repository: CRAN
Maintainer: Mahmood Ul Hassan <scenic555@gmail.com>
BugReports: https://github.com/scenic555/optical/issues
URL: https://scenic555.github.io/optical/, https://github.com/scenic555/optical
Language: en-GB
Imports: stats
NeedsCompilation: no
Packaged: 2023-05-24 13:46:02 UTC; sceni
Date/Publication: 2023-05-25 20:00:02 UTC

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New package jsonNormalize with initial version 1.0.0
Package: jsonNormalize
Title: Normalization of 'JSON' Strings
Version: 1.0.0
Description: Provides a function allowing to normalize a 'JSON' string, for example by adding double quotes around the keys when they are missing. Also provides 'RStudio' addins for the same purpose.
License: GPL-3
URL: https://github.com/stla/jsonNormalize
BugReports: https://github.com/stla/jsonNormalize/issues
Imports: rstudioapi, V8
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-05-24 11:20:44 UTC; stla
Author: Stephane Laurent [aut, cre], David Kaye [aut, cph]
Maintainer: Stephane Laurent <laurent_step@outlook.fr>
Repository: CRAN
Date/Publication: 2023-05-25 20:00:05 UTC

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New package HydroPortailStats with initial version 1.0.3
Package: HydroPortailStats
Title: 'HydroPortail' Statistical Functions
Version: 1.0.3
Description: Statistical functions used in the French 'HydroPortail' <https://hydro.eaufrance.fr/>. This includes functions to estimate distributions, quantile curves and uncertainties, along with various other utilities. Technical details are available (in French) in Renard (2016) <https://hal.inrae.fr/hal-02605318>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: stats, graphics, evd, mvtnorm, numDeriv
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2023-05-24 10:20:42 UTC; brenard
Author: Benjamin Renard [aut, cre, cph] , INRAE [fnd], Ministere de la Transition Ecologique - SCHAPI [fnd], European Commission [fnd]
Maintainer: Benjamin Renard <benjamin.renard@inrae.fr>
Repository: CRAN
Date/Publication: 2023-05-25 19:50:06 UTC

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New package gFormulaMI with initial version 1.0.0
Package: gFormulaMI
Title: G-Formula for Causal Inference via Multiple Imputation
Version: 1.0.0
Description: Implements the G-Formula method for causal inference with time-varying treatments and confounders using Bayesian multiple imputation methods, as described by Bartlett, Olarte Parra and Daniel (2023) <arXiv:2301.12026>. It creates multiple synthetic imputed datasets under treatment regimes of interest using the 'mice' package. These can then be analysed using rules developed for analysing multiple synthetic datasets.
License: GPL (>= 3)
Encoding: UTF-8
Imports: mice
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 2.10)
LazyData: true
VignetteBuilder: knitr
URL: https://jwb133.github.io/gFormulaMI/
NeedsCompilation: no
Packaged: 2023-05-24 11:19:43 UTC; lshjb12
Author: Jonathan Bartlett [aut, cre] , Camila Olarte Parra [ctb] , Erik van Zwet [ctb]
Maintainer: Jonathan Bartlett <jonathan.bartlett1@lshtm.ac.uk>
Repository: CRAN
Date/Publication: 2023-05-25 20:00:08 UTC

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New package echo with initial version 0.1.0
Package: echo
Title: Echo Code Evaluations
Version: 0.1.0
Maintainer: Jordan Mark Barbone <jmbarbone@gmail.com>
Description: Capture code evaluations and script executions by expressions, outputs, and condition calls for logging.
License: MIT + file LICENSE
Depends: R (>= 3.6)
Imports: utils
Suggests: covr, spelling, testthat (>= 3.0.0)
Encoding: UTF-8
URL: https://github.com/jmbarbone/echo, https://jmbarbone.github.io/echo/
BugReports: https://github.com/jmbarbone/echo/issues
Language: en-US
NeedsCompilation: no
Packaged: 2023-05-22 15:04:53 UTC; jordan
Author: Jordan Mark Barbone [aut, cph, cre]
Repository: CRAN
Date/Publication: 2023-05-25 20:00:12 UTC

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New package agghoo with initial version 0.1-0
Package: agghoo
Encoding: UTF-8
Title: Aggregated Hold-Out Cross Validation
Date: 2023-05-23
Version: 0.1-0
Description: The 'agghoo' procedure is an alternative to usual cross-validation. Instead of choosing the best model trained on V subsamples, it determines a winner model for each subsample, and then aggregates the V outputs. For the details, see "Aggregated hold-out" by Guillaume Maillard, Sylvain Arlot, Matthieu Lerasle (2021) <arXiv:1909.04890> published in Journal of Machine Learning Research 22(20):1--55.
Depends: R (>= 3.5.0)
Imports: class, parallel, R6, rpart, FNN
Suggests: roxygen2, mlbench
URL: https://git.auder.net/?p=agghoo.git
License: MIT + file LICENSE
NeedsCompilation: no
Packaged: 2023-05-24 10:06:45 UTC; auder
Author: Sylvain Arlot [ctb], Benjamin Auder [aut, cre, cph], Melina Gallopin [ctb], Matthieu Lerasle [ctb], Guillaume Maillard [ctb]
Maintainer: Benjamin Auder <benjamin.auder@universite-paris-saclay.fr>
Repository: CRAN
Date/Publication: 2023-05-25 19:50:02 UTC

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Package tidyBdE updated to version 0.3.3 with previous version 0.3.2 dated 2023-04-01

Title: Download Data from Bank of Spain
Description: Tools to download data series from 'Banco de España' ('BdE') on 'tibble' format. 'Banco de España' is the national central bank and, within the framework of the Single Supervisory Mechanism ('SSM'), the supervisor of the Spanish banking system along with the European Central Bank. This package is in no way sponsored endorsed or administered by 'Banco de España'.
Author: Diego H. Herrero [aut, cre, cph]
Maintainer: Diego H. Herrero <dev.dieghernan@gmail.com>

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Package Statamarkdown updated to version 0.7.4 with previous version 0.7.2 dated 2023-02-15

Title: 'Stata' Markdown
Description: Settings and functions to extend the 'knitr' 'Stata' engine.
Author: Doug Hemken [aut, cre] , Tom Palmer [ctb] , Philipp Lepert [ctb]
Maintainer: Doug Hemken <dehemken@wisc.edu>

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Package climaemet updated to version 1.1.1 with previous version 1.1.0 dated 2023-02-16

Title: Climate AEMET Tools
Description: Tools to download the climatic data of the Spanish Meteorological Agency (AEMET) directly from R using their API and create scientific graphs (climate charts, trend analysis of climate time series, temperature and precipitation anomalies maps, warming stripes graphics, climatograms, etc.).
Author: Manuel Pizarro [aut, cph] , Diego Hernangomez [aut, cre] , Gema Fernandez-Aviles [aut]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

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Package SimDesign updated to version 2.11 with previous version 2.10.1 dated 2023-02-01

Title: Structure for Organizing Monte Carlo Simulation Designs
Description: Provides tools to safely and efficiently organize and execute Monte Carlo simulation experiments in R. The package controls the structure and back-end of Monte Carlo simulation experiments by utilizing a generate-analyse-summarise workflow. The workflow safeguards against common simulation coding issues, such as automatically re-simulating non-convergent results, prevents inadvertently overwriting simulation files, catches error and warning messages during execution, and implicitly supports parallel processing. For a pedagogical introduction to the package see Sigal and Chalmers (2016) <doi:10.1080/10691898.2016.1246953>. For a more in-depth overview of the package and its design philosophy see Chalmers and Adkins (2020) <doi:10.20982/tqmp.16.4.p248>.
Author: Phil Chalmers [aut, cre] , Matthew Sigal [ctb], Ogreden Oguzhan [ctb]
Maintainer: Phil Chalmers <rphilip.chalmers@gmail.com>

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Package rtables updated to version 0.6.1 with previous version 0.6.0 dated 2023-03-02

Title: Reporting Tables
Description: Reporting tables often have structure that goes beyond simple rectangular data. The 'rtables' package provides a framework for declaring complex multi-level tabulations and then applying them to data. This framework models both tabulation and the resulting tables as hierarchical, tree-like objects which support sibling sub-tables, arbitrary splitting or grouping of data in row and column dimensions, cells containing multiple values, and the concept of contextual summary computations. A convenient pipe-able interface is provided for declaring table layouts and the corresponding computations, and then applying them to data.
Author: Gabriel Becker [aut, cre], Adrian Waddell [aut], Daniel Sabanes Bove [ctb], Maximilian Mordig [ctb], Davide Garolini [ctb]
Maintainer: Gabriel Becker <gabembecker@gmail.com>

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Package rlistings updated to version 0.2.2 with previous version 0.2.1 dated 2023-03-17

Title: Clinical Trial Style Data Readout Listings
Description: Listings are often part of the submission of clinical trial data in regulatory settings. We provide a framework for the specific formatting features often used when displaying large datasets in that context.
Author: Gabriel Becker [aut, cre], Adrian Waddell [aut], Joe Zhu [aut], Davide Garolini [ctb], Emily de la Rua [ctb], Abinaya Yogasekaram [ctb], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Gabriel Becker <gabembecker@gmail.com>

Diff between rlistings versions 0.2.1 dated 2023-03-17 and 0.2.2 dated 2023-05-25

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New package GenEst with initial version 1.4.9
Package: GenEst
Title: Generalized Mortality Estimator
Version: 1.4.9
Date: 2023-05-25
Description: Command-line and 'shiny' GUI implementation of the GenEst models for estimating bird and bat mortality at wind and solar power facilities, following Dalthorp, et al. (2018) <doi:10.3133/tm7A2>.
Depends: R (>= 3.5.0)
License: CC0
Encoding: UTF-8
LazyData: true
Imports: DT, gsl, gtools, hellno, htmltools, lubridate, MASS, matrixStats, mvtnorm, Rcpp, shiny (>= 1.4.0), shinyjs, survival
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2023-05-25 13:12:29 UTC; ddalt
Author: Daniel Dalthorp [aut, cre], Juniper Simonis [aut], Lisa Madsen [aut], Manuela Huso [aut], Paul Rabie [aut], Jeffrey Mintz [aut], Robert Wolpert [aut], Jared Studyvin [aut], Franzi Korner-Nievergelt [aut]
Maintainer: Daniel Dalthorp <ddalthorp@protonmail.com>
Repository: CRAN
Date/Publication: 2023-05-25 16:10:03 UTC

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Package FedData updated to version 3.0.4 with previous version 3.0.3 dated 2023-03-10

Title: Functions to Automate Downloading Geospatial Data Available from Several Federated Data Sources
Description: Functions to automate downloading geospatial data available from several federated data sources (mainly sources maintained by the US Federal government). Currently, the package enables extraction from seven datasets: The National Elevation Dataset digital elevation models (1 and 1/3 arc-second; USGS); The National Hydrography Dataset (USGS); The Soil Survey Geographic (SSURGO) database from the National Cooperative Soil Survey (NCSS), which is led by the Natural Resources Conservation Service (NRCS) under the USDA; the Global Historical Climatology Network (GHCN), coordinated by National Climatic Data Center at NOAA; the Daymet gridded estimates of daily weather parameters for North America, version 3, available from the Oak Ridge National Laboratory's Distributed Active Archive Center (DAAC); the International Tree Ring Data Bank; and the National Land Cover Database (NLCD).
Author: R. Kyle Bocinsky [aut, cre, cph], Dylan Beaudette [ctb], Scott Chamberlain [ctb, rev], Jeffrey Hollister [ctb], Julia Gustavsen [rev]
Maintainer: R. Kyle Bocinsky <bocinsky@gmail.com>

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Package treemap updated to version 2.4-4 with previous version 2.4-3 dated 2021-08-22

Title: Treemap Visualization
Description: A treemap is a space-filling visualization of hierarchical structures. This package offers great flexibility to draw treemaps.
Author: Martijn Tennekes [aut, cre], Peter Ellis [ctb]
Maintainer: Martijn Tennekes <mtennekes@gmail.com>

Diff between treemap versions 2.4-3 dated 2021-08-22 and 2.4-4 dated 2023-05-25

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Package spatialreg updated to version 1.2-9 with previous version 1.2-8 dated 2023-03-01

Title: Spatial Regression Analysis
Description: A collection of all the estimation functions for spatial cross-sectional models (on lattice/areal data using spatial weights matrices) contained up to now in 'spdep'. These model fitting functions include maximum likelihood methods for cross-sectional models proposed by 'Cliff' and 'Ord' (1973, ISBN:0850860369) and (1981, ISBN:0850860814), fitting methods initially described by 'Ord' (1975) <doi:10.1080/01621459.1975.10480272>. The models are further described by 'Anselin' (1988) <doi:10.1007/978-94-015-7799-1>. Spatial two stage least squares and spatial general method of moment models initially proposed by 'Kelejian' and 'Prucha' (1998) <doi:10.1023/A:1007707430416> and (1999) <doi:10.1111/1468-2354.00027> are provided. Impact methods and MCMC fitting methods proposed by 'LeSage' and 'Pace' (2009) <doi:10.1201/9781420064254> are implemented for the family of cross-sectional spatial regression models. Methods for fitting the log determinant term in maximu [...truncated...]
Author: Roger Bivand [cre, aut] , Gianfranco Piras [aut], Luc Anselin [ctb], Andrew Bernat [ctb], Eric Blankmeyer [ctb], Yongwan Chun [ctb], Virgilio Gomez-Rubio [ctb], Daniel Griffith [ctb], Martin Gubri [ctb], Rein Halbersma [ctb], James LeSage [ctb], Ange [...truncated...]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

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Package quantregGrowth updated to version 1.6-2 with previous version 1.6-1 dated 2023-04-14

Title: Non-Crossing Additive Regression Quantiles and Non-Parametric Growth Charts
Description: Fits non-crossing regression quantiles as a function of linear covariates and multiple smooth terms, including varying coefficients, via B-splines with L1-norm difference penalties. Random intercepts and variable selection are allowed via the lasso penalties. The smoothing parameters are estimated as part of the model fitting, see Muggeo and others (2021) <doi:10.1177/1471082X20929802>. Monotonicity and concavity constraints on the fitted curves are allowed, see Muggeo and others (2013) <doi:10.1007/s10651-012-0232-1>, and also <doi:10.13140/RG.2.2.12924.85122> or <doi:10.13140/RG.2.2.29306.21445> some code examples.
Author: Vito M. R. Muggeo [aut, cre]
Maintainer: Vito M. R. Muggeo <vito.muggeo@unipa.it>

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Package cropgrowdays updated to version 0.2.0 with previous version 0.1.1 dated 2021-12-10

Title: Crop Growing Degree Days and Agrometeorological Calculations
Description: Calculate agrometeorological variables for crops including growing degree days (McMaster, GS & Wilhelm, WW (1997) <doi:10.1016/S0168-1923(97)00027-0>), cumulative rainfall, number of stress days and cumulative or mean radiation and evaporation. Convert dates to day of year and vice versa. Also, download curated and interpolated Australian weather data from the Queensland Government DES longpaddock website <https://www.longpaddock.qld.gov.au/>. This data is freely available under the Creative Commons 4.0 licence.
Author: Peter Baker [aut, cre] , Miranda Mortlock [aut]
Maintainer: Peter Baker <drpetebaker@gmail.com>

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Package cotram updated to version 0.4-4 with previous version 0.4-2 dated 2022-11-01

Title: Count Transformation Models
Description: Count transformation models featuring parameters interpretable as discrete hazard ratios, odds ratios, reverse-time discrete hazard ratios, or transformed expectations. An appropriate data transformation for a count outcome and regression coefficients are simultaneously estimated by maximising the exact discrete log-likelihood using the computational framework provided in package 'mlt', technical details are given in Siegfried & Hothorn (2020) <DOI:10.1111/2041-210X.13383>. The package also contains an experimental implementation of multivariate count transformation models with an application to multi-species distribution models <arXiv:2201.13095>.
Author: Sandra Siegfried [aut, cre] , Luisa Barbanti [aut] , Torsten Hothorn [aut]
Maintainer: Sandra Siegfried <sandra.siegfried@uzh.ch>

Diff between cotram versions 0.4-2 dated 2022-11-01 and 0.4-4 dated 2023-05-25

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Package baytrends updated to version 2.0.9 with previous version 2.0.8 dated 2022-05-05

Title: Long Term Water Quality Trend Analysis
Description: Enable users to evaluate long-term trends using a Generalized Additive Modeling (GAM) approach. The model development includes selecting a GAM structure to describe nonlinear seasonally-varying changes over time, incorporation of hydrologic variability via either a river flow or salinity, the use of an intervention to deal with method or laboratory changes suspected to impact data values, and representation of left- and interval-censored data. The approach has been applied to water quality data in the Chesapeake Bay, a major estuary on the east coast of the United States to provide insights to a range of management- and research-focused questions. Methodology described in Murphy (2019) <doi:10.1016/j.envsoft.2019.03.027>.
Author: Rebecca Murphy, Elgin Perry, Jennifer Keisman, Jon Harcum, Erik W Leppo
Maintainer: Erik W Leppo <Erik.Leppo@tetratech.com>

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Package ubms updated to version 1.2.4 with previous version 1.2.3 dated 2023-05-17

Title: Bayesian Models for Data from Unmarked Animals using 'Stan'
Description: Fit Bayesian hierarchical models of animal abundance and occurrence via the 'rstan' package, the R interface to the 'Stan' C++ library. Supported models include single-season occupancy, dynamic occupancy, and N-mixture abundance models. Covariates on model parameters are specified using a formula-based interface similar to package 'unmarked', while also allowing for estimation of random slope and intercept terms. References: Carpenter et al. (2017) <doi:10.18637/jss.v076.i01>; Fiske and Chandler (2011) <doi:10.18637/jss.v043.i10>.
Author: Ken Kellner [cre, aut]
Maintainer: Ken Kellner <contact@kenkellner.com>

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Package DIMORA updated to version 0.3.5 with previous version 0.3.4 dated 2023-03-11

Title: Diffusion Models R Analysis
Description: The implemented methods are: Standard Bass model, Generalized Bass model (with rectangular shock, exponential shock, and mixed shock. You can choose to add from 1 to 3 shocks), Guseo-Guidolin model and Variable Potential Market model, and UCRCD model. The Bass model consists of a simple differential equation that describes the process of how new products get adopted in a population, the Generalized Bass model is a generalization of the Bass model in which there is a "carrier" function x(t) that allows to change the speed of time sliding. In some real processes the reachable potential of the resource available in a temporal instant may appear to be not constant over time, because of this we use Variable Potential Market model, in which the Guseo-Guidolin has a particular specification for the market function. The UCRCD model (Unbalanced Competition and Regime Change Diachronic) is a diffusion model used to capture the dynamics of the competitive or collaborative transition.
Author: Savio Andrea, Zanghi Federico, Filippo Ziliotto, Bessi Alessandro
Maintainer: Savio Andrea <svandr97@gmail.com>

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Package microeco updated to version 0.19.0 with previous version 0.17.0 dated 2023-05-02

Title: Microbial Community Ecology Data Analysis
Description: A series of statistical and plotting approaches in microbial community ecology based on the R6 class. The classes are designed for data preprocessing, taxa abundance plotting, alpha diversity analysis, beta diversity analysis, differential abundance test, null model analysis, network analysis, machine learning, environmental data analysis and functional analysis.
Author: Chi Liu [aut, cre], Felipe R. P. Mansoldo [ctb], Umer Zeeshan Ijaz [ctb], Chenhao Li [ctb], Yang Cao [ctb], Minjie Yao [ctb], Xiangzhen Li [ctb]
Maintainer: Chi Liu <liuchi0426@126.com>

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Package eks updated to version 1.0.4 with previous version 1.0.3 dated 2023-03-09

Title: Tidy and Geospatial Kernel Smoothing
Description: Extensions of the kernel smoothing functions from the 'ks' package for compatibility with the tidyverse and geospatial ecosystems <doi:10.48550/arXiv.2203.01686>.
Author: Tarn Duong [aut, cre]
Maintainer: Tarn Duong <tarn.duong@gmail.com>

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New package hSDM with initial version 1.4.2
Package: hSDM
Title: Hierarchical Bayesian Species Distribution Models
Version: 1.4.2
Date: 2023-05-25
Imports: coda
NeedsCompilation: yes
SystemRequirements: GNU GSL
Suggests: knitr, raster, sp, rmarkdown, bookdown
Maintainer: Ghislain Vieilledent <ghislain.vieilledent@cirad.fr>
Description: User-friendly and fast set of functions for estimating parameters of hierarchical Bayesian species distribution models (Latimer and others 2006 <doi:10.1890/04-0609>). Such models allow interpreting the observations (occurrence and abundance of a species) as a result of several hierarchical processes including ecological processes (habitat suitability, spatial dependence and anthropogenic disturbance) and observation processes (species detectability). Hierarchical species distribution models are essential for accurately characterizing the environmental response of species, predicting their probability of occurrence, and assessing uncertainty in the model results.
License: GPL-3
URL: https://ecology.ghislainv.fr/hSDM/, https://github.com/ghislainv/hSDM/
BugReports: https://github.com/ghislainv/hSDM/issues/
LazyLoad: yes
Encoding: UTF-8
VignetteBuilder: knitr
Packaged: 2023-05-25 09:58:05 UTC; ghislain
Author: Ghislain Vieilledent [aut, cre] , Matthieu Autier [ctb], Alan E. Gelfand [ctb], Jerome Guelat [ctb], Marc Kery [ctb], Andrew M. Latimer [ctb], Cory Merow [ctb], Frederic Mortier [ctb], John A. Silander Jr. [ctb], Adam M. Wilson [ctb], Shanshan Wu [ct [...truncated...]
Repository: CRAN
Date/Publication: 2023-05-25 13:00:02 UTC

More information about hSDM at CRAN
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Package Bernadette updated to version 1.1.2 with previous version 1.1.1 dated 2023-05-18

Title: Bayesian Inference and Model Selection for Stochastic Epidemics
Description: Bayesian analysis for stochastic extensions of non-linear dynamic systems using advanced computational algorithms. Described in Bouranis, L., Demiris, N., Kalogeropoulos, K., and Ntzoufras, I. (2022) <arXiv:2211.15229>.
Author: Lampros Bouranis [aut, cre, cph] , European Union [fnd]
Maintainer: Lampros Bouranis <bernadette.aueb@gmail.com>

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Package rSPDE updated to version 2.3.1 with previous version 2.2.0 dated 2023-04-12

Title: Rational Approximations of Fractional Stochastic Partial Differential Equations
Description: Functions that compute rational approximations of fractional elliptic stochastic partial differential equations. The package also contains functions for common statistical usage of these approximations. The main references for rSPDE are Bolin, Simas and Xiong (2023) <doi:10.48550/arXiv.2209.04670> for the covariance-based method and in Bolin and Kirchner (2020) <doi:10.1080/10618600.2019.1665537> for the operator-based rational approximation. These can be generated by the citation function in R.
Author: David Bolin [cre, aut], Alexandre Simas [aut], Finn Lindgren [ctb]
Maintainer: David Bolin <davidbolin@gmail.com>

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Package timeSeries updated to version 4030.106 with previous version 4021.105 dated 2022-10-15

Title: Financial Time Series Objects (Rmetrics)
Description: 'S4' classes and various tools for financial time series: Basic functions such as scaling and sorting, subsetting, mathematical operations and statistical functions.
Author: Diethelm Wuertz [aut] , Tobias Setz [aut], Yohan Chalabi [aut], Martin Maechler [ctb] , Georgi N. Boshnakov [cre, ctb]
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>

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Package R2BEAT updated to version 1.0.5 with previous version 1.0.4 dated 2021-12-02

Title: Multistage Sampling Allocation and Sample Selection
Description: Multivariate optimal allocation for different domains in one and two stages stratified sample design. 'R2BEAT' extends the Neyman (1934) – Tschuprow (1923) allocation method to the case of several variables, adopting a generalization of the Bethel’s proposal (1989). 'R2BEAT' develops this methodology but, moreover, it allows to determine the sample allocation in the multivariate and multi-domains case of estimates for two-stage stratified samples. It also allows to perform both Primary Stage Units and Secondary Stage Units selection. This package requires the availability of 'ReGenesees', that can be installed from <https://github.com/DiegoZardetto/ReGenesees>.
Author: Andrea Fasulo,Giulio Barcaroli,Stefano Falorsi,Alessio Guandalini,Daniela Pagliuca,Marco Dionisio Terribili
Maintainer: Andrea Fasulo <fasulo@istat.it>

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Package pedtools updated to version 2.2.0 with previous version 2.1.1 dated 2023-01-05

Title: Creating and Working with Pedigrees and Marker Data
Description: A comprehensive collection of tools for creating, manipulating and visualising pedigrees and genetic marker data. Pedigrees can be read from text files or created on the fly with built-in functions. A range of utilities enable modifications like adding or removing individuals, breaking loops, and merging pedigrees. An online tool for creating pedigrees interactively, based on 'pedtools', is available at <https://magnusdv.shinyapps.io/quickped>. 'pedtools' is the hub of the 'ped suite', a collection of packages for pedigree analysis. A detailed presentation of the 'ped suite' is given in the book 'Pedigree Analysis in R' (Vigeland, 2021, ISBN:9780128244302).
Author: Magnus Dehli Vigeland [aut, cre]
Maintainer: Magnus Dehli Vigeland <m.d.vigeland@medisin.uio.no>

Diff between pedtools versions 2.1.1 dated 2023-01-05 and 2.2.0 dated 2023-05-25

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Package FunChisq updated to version 2.5.3 with previous version 2.5.2 dated 2021-05-19

Title: Model-Free Functional Chi-Squared and Exact Tests
Description: Statistical hypothesis testing methods for inferring model-free functional dependency using asymptotic chi-squared or exact distributions. Functional test statistics are asymmetric and functionally optimal, unique from other related statistics. Tests in this package reveal evidence for causality based on the causality-by- functionality principle. They include asymptotic functional chi-squared tests (Zhang & Song 2013) <arXiv:1311.2707>, an adapted functional chi-squared test (Kumar & Song 2022) <doi:10.1093/bioinformatics/btac206>, and an exact functional test (Zhong & Song 2019) <doi:10.1109/TCBB.2018.2809743> (Nguyen et al. 2020) <doi:10.24963/ijcai.2020/372>. The normalized functional chi-squared test was used by Best Performer 'NMSUSongLab' in HPN-DREAM (DREAM8) Breast Cancer Network Inference Challenges (Hill et al. 2016) <doi:10.1038/nmeth.3773>. A function index (Zhong & Song 2019) <doi:10.1186/s12920-019-0565-9> (Kumar et al. [...truncated...]
Author: Yang Zhang [aut], Hua Zhong [aut] , Hien Nguyen [aut] , Ruby Sharma [aut] , Sajal Kumar [aut] , Yiyi Li [aut], Joe Song [aut, cre]
Maintainer: Joe Song <joemsong@cs.nmsu.edu>

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Package fdacluster updated to version 0.2.2 with previous version 0.2.1 dated 2023-05-19

Title: Joint Clustering and Alignment of Functional Data
Description: Implementations of the k-means, hierarchical agglomerative and DBSCAN clustering methods for functional data which allows for jointly aligning and clustering curves. It supports functional data defined on one-dimensional domains but possibly evaluating in multivariate codomains. It supports functional data defined in arrays but also via the 'fd' and 'funData' classes for functional data defined in the 'fda' and 'funData' packages respectively. It currently supports shift, dilation and affine warping functions for functional data defined on the real line and uses the SRSF framework to handle boundary-preserving warping for functional data defined on a specific interval. Main reference for the k-means algorithm: Sangalli L.M., Secchi P., Vantini S., Vitelli V. (2010) "k-mean alignment for curve clustering" <doi:10.1016/j.csda.2009.12.008>. Main reference for the SRSF framework: Tucker, J. D., Wu, W., & Srivastava, A. (2013) "Generative models for functional data using phase and [...truncated...]
Author: Aymeric Stamm [aut, cre] , Laura Sangalli [ctb], Piercesare Secchi [ctb], Simone Vantini [ctb], Valeria Vitelli [ctb], Alessandro Zito [ctb]
Maintainer: Aymeric Stamm <aymeric.stamm@cnrs.fr>

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Package BNSP updated to version 2.2.3 with previous version 2.2.2 dated 2023-03-26

Title: Bayesian Non- And Semi-Parametric Model Fitting
Description: MCMC algorithms & processing functions for: 1. single response multiple regression, see Papageorgiou, G. (2018) <doi: 10.32614/RJ-2018-069>, 2. multivariate response multiple regression, with nonparametric models for the means, the variances and the correlation matrix, with variable selection, see Papageorgiou, G. and Marshall, B. C. (2020) <doi: 10.1080/10618600.2020.1739534>, 3. joint mean-covariance models for multivariate responses, see Papageorgiou, G. (2022) <doi: 10.1002/sim.9376>, and 4.Dirichlet process mixtures, see Papageorgiou, G. (2019) <doi: 10.1111/anzs.12273>.
Author: Georgios Papageorgiou
Maintainer: Georgios Papageorgiou <gpapageo@gmail.com>

Diff between BNSP versions 2.2.2 dated 2023-03-26 and 2.2.3 dated 2023-05-25

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Package ufs updated to version 0.5.6 with previous version 0.5.2 dated 2021-11-13

Title: A Collection of Utilities
Description: This is a new version of the 'userfriendlyscience' package, which has grown a bit unwieldy. Therefore, distinct functionalities are being 'consciously uncoupled' into different packages. This package contains the general-purpose tools and utilities (see the 'behaviorchange' package, the 'rosetta' package, and the soon-to-be-released 'scd' package for other functionality), and is the most direct 'successor' of the original 'userfriendlyscience' package. For example, this package contains a number of basic functions to create higher level plots, such as diamond plots, to easily plot sampling distributions, to generate confidence intervals, to plan study sample sizes for confidence intervals, and to do some basic operations such as (dis)attenuate effect size estimates.
Author: Gjalt-Jorn Peters [aut, cre] , Stefan Gruijters [ctb]
Maintainer: Gjalt-Jorn Peters <ufs@opens.science>

Diff between ufs versions 0.5.2 dated 2021-11-13 and 0.5.6 dated 2023-05-25

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Permanent link

Package SQL updated to version 0.1.1 with previous version 0.1.0 dated 2023-04-27

Title: Executes 'SQL' Statements
Description: Runs 'SQL' statements on in-memory data frames within a temporary in-memory 'duckdb' data base.
Author: Jean-Luc Lipatz [aut, cre, cph]
Maintainer: Jean-Luc Lipatz <jllipatz@protonmail.com>

Diff between SQL versions 0.1.0 dated 2023-04-27 and 0.1.1 dated 2023-05-25

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Package ORKM updated to version 0.7.0.0 with previous version 0.6.0.0 dated 2023-05-06

Title: The Online Regularized K-Means Clustering Algorithm
Description: Algorithm of online regularized k-means to deal with online multi(single) view data. The philosophy of the package is described in Guo G. (2020) <doi:10.1080/02331888.2020.1823979>.
Author: Guangbao Guo [aut, cre] , Miao Yu [aut], Haoyue Song [aut], Ruiling Niu [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>

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Package knitr updated to version 1.43 with previous version 1.42 dated 2023-01-25

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

Diff between knitr versions 1.42 dated 2023-01-25 and 1.43 dated 2023-05-25

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Package forestat updated to version 1.0.1 with previous version 1.0.0 dated 2023-05-22

Title: Evaluating the Quality of Natural Forest
Description: Including tree height classification, tree height model establishment, sectional area growth and stock growth modeling, and calculation of actual and potential forest productivity.
Author: Liyong Fu [aut], Shirong Liu [aut], Shouzheng Tang [aut], Guangshuang Duan [aut], Zhong Wang [aut], Linyan Feng [aut], Dongbo Xie [aut], Yuanyuan Han [aut, cre]
Maintainer: Yuanyuan Han <jackhanyuan@foxmail.com>

Diff between forestat versions 1.0.0 dated 2023-05-22 and 1.0.1 dated 2023-05-25

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Permanent link

New package RevGadgets with initial version 1.1.1
Package: RevGadgets
Title: Visualization and Post-Processing of 'RevBayes' Analyses
Version: 1.1.1
Maintainer: Carrie Tribble <ctribble09@gmail.com>
Description: Processes and visualizes the output of complex phylogenetic analyses from the 'RevBayes' phylogenetic graphical modeling software.
URL: https://github.com/revbayes/RevGadgets, https://revbayes.github.io/tutorials/intro/revgadgets
BugReports: https://github.com/revbayes/RevGadgets/issues
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: ape (>= 5.4), phytools (>= 0.7-70), dplyr (>= 1.0.0), ggtree (>= 3.6.1), tidytree (>= 0.3.4), treeio (>= 1.12.0), ggplot2 (>= 3.4.0), reshape (>= 0.8.8), methods (>= 4.1.0), ggthemes (>= 4.2.0), tidyr (>= 1.1.0), tibble (>= 3.0.1), gginnards (>= 0.0.3), ggplotify (>= 0.0.5), ggpp, ggimage, png (>= 0.1-7), stats (>= 4.0.1), utils (>= 4.0.1), grDevices (>= 4.0.1), deeptime (>= 0.1.0), scales (>= 1.1.1)
Suggests: testthat, knitr, rmarkdown, phangorn
NeedsCompilation: no
Packaged: 2023-05-24 20:04:29 UTC; carrietribble
Author: Carrie Tribble [aut, cre] , Michael R. May [aut], William A. Freyman [aut], Michael J. Landis [aut], Lim Jun Ying [aut], Joelle Barido-Sottani [aut], Andrew Magee [aut], Bjorn Tore Kopperud [aut], Sebastian Hohna [aut], Nagashima Kengo [ctb], Schliep [...truncated...]
Repository: CRAN
Date/Publication: 2023-05-25 07:40:11 UTC

More information about RevGadgets at CRAN
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Package qlcal updated to version 0.0.6 with previous version 0.0.5 dated 2023-04-20

Title: R Bindings to the Calendaring Functionality of 'QuantLib'
Description: 'QuantLib' bindings are provided for R using 'Rcpp' via an evolved version of the initial header-only 'Quantuccia' project offering an subset of 'QuantLib' (now maintained separately just for the calendaring subset). See the included file 'AUTHORS' for a full list of contributors to 'QuantLib' (and hence also 'Quantuccia').
Author: Dirk Eddelbuettel; the authors and contributors of QuantLib
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between qlcal versions 0.0.5 dated 2023-04-20 and 0.0.6 dated 2023-05-25

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Package multiocc updated to version 0.2.0 with previous version 0.1.0 dated 2022-07-15

Title: Fits Multivariate Spatio-Temporal Occupancy Model
Description: Spatio-temporal multivariate occupancy models can handle multiple species in occupancy models. This method for fitting such models is described in Hepler and Erhardt (2021) "A spatiotemporal model for multivariate occupancy data" <https://onlinelibrary.wiley.com/doi/abs/10.1002/env.2657>.
Author: Staci Hepler [aut, cre], Rob Erhardt [aut]
Maintainer: Staci Hepler <heplersa@wfu.edu>

Diff between multiocc versions 0.1.0 dated 2022-07-15 and 0.2.0 dated 2023-05-25

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Package LKT updated to version 1.5.0 with previous version 1.3.0 dated 2022-10-10

Title: Logistic Knowledge Tracing
Description: Computes Logistic Knowledge Tracing ('LKT') which is a general method for tracking human learning in an educational software system. Please see Pavlik, Eglington, and Harrel-Williams (2021) <https://ieeexplore.ieee.org/document/9616435>. 'LKT' is a method to compute features of student data that are used as predictors of subsequent performance. 'LKT' allows great flexibility in the choice of predictive components and features computed for these predictive components. The system is built on top of 'LiblineaR', which enables extremely fast solutions compared to base glm() in R.
Author: Philip I. Pavlik Jr. [aut, ctb, cre] , Luke G. Eglington [aut, ctb]
Maintainer: Philip I. Pavlik Jr. <imrryr@gmail.com>

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Package HDSpatialScan updated to version 1.0.4 with previous version 1.0.3 dated 2022-08-05

Title: Multivariate and Functional Spatial Scan Statistics
Description: Allows to detect spatial clusters of abnormal values on multivariate or functional data. Martin KULLDORFF and Lan HUANG and Kevin KONTY (2009) <doi:10.1186/1476-072X-8-58>, Inkyung JUNG and Ho Jin CHO (2015) <doi:10.1186/s12942-015-0024-6>, Lionel CUCALA and Michael GENIN and Caroline LANIER and Florent OCCELLI (2017) <doi:10.1016/j.spasta.2017.06.001>, Lionel CUCALA and Michael GENIN and Florent OCCELLI and Julien SOULA (2019) <doi:10.1016/j.spasta.2018.10.002>, Camille FREVENT and Mohamed-Salem AHMED and Matthieu MARBAC and Michael GENIN (2021) <doi:10.1016/j.spasta.2021.100550>, Zaineb SMIDA and Lionel CUCALA and Ali GANNOUN and Ghislain Durif (2022) <doi:10.1016/j.csda.2021.107378>, Camille FREVENT and Mohamed-Salem AHMED and Sophie DABO-NIANG and Michael GENIN (2023) <doi:10.1093/jrsssc/qlad017>.
Author: Camille FREVENT [aut, cre, cph], Mohamed-Salem AHMED [aut], Julien SOULA [aut], Zaineb SMIDA [aut], Lionel CUCALA [aut], Sophie DABO-NIANG [aut], Michael GENIN [aut]
Maintainer: Camille FREVENT <camille.frevent@univ-lille.fr>

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Package ggnewscale updated to version 0.4.9 with previous version 0.4.8 dated 2022-10-06

Title: Multiple Fill and Colour Scales in 'ggplot2'
Description: Use multiple fill and colour scales in 'ggplot2'.
Author: Elio Campitelli [cre, aut]
Maintainer: Elio Campitelli <elio.campitelli@cima.fcen.uba.ar>

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Package gasmodel updated to version 0.3.0 with previous version 0.2.0 dated 2023-01-06

Title: Generalized Autoregressive Score Models
Description: Estimation, forecasting, and simulation of generalized autoregressive score (GAS) models of Creal, Koopman, and Lucas (2013) <doi:10.1002/jae.1279> and Harvey (2013) <doi:10.1017/cbo9781139540933>. Model specification allows for various conditional distributions, different parametrizations, exogenous variables, joint and separate modeling of exogenous variables and dynamics,higher score and autoregressive orders, custom and unconditional initial values of time-varying parameters, fixed and bounded values of coefficients, and missing values. Model estimation is performed by the maximum likelihood method and the Hessian matrix.
Author: Vladimir Holy [aut, cre]
Maintainer: Vladimir Holy <vladimir.holy@vse.cz>

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Package formatters updated to version 0.5.0 with previous version 0.4.1 dated 2023-04-14

Title: ASCII Formatting for Values and Tables
Description: We provide a framework for rendering complex tables to ASCII, and a set of formatters for transforming values or sets of values into ASCII-ready display strings.
Author: Gabriel Becker [aut, cre], Adrian Waddell [aut], Davide Garolini [ctb], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Gabriel Becker <gabembecker@gmail.com>

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New package emuR with initial version 2.4.0
Package: emuR
Version: 2.4.0
Date: 2023-05-17
Title: Main Package of the EMU Speech Database Management System
Description: Provide the EMU Speech Database Management System (EMU-SDMS) with database management, data extraction, data preparation and data visualization facilities. See <https://ips-lmu.github.io/The-EMU-SDMS-Manual/> for more details.
License: GPL (>= 2)
Depends: R (>= 3.5.0)
Imports: tools, utils, graphics, methods, rlang, stringr (>= 1.4.0), uuid, base64enc, shiny, wrassp (>= 0.1.4), jsonlite (>= 1.6.1), RSQLite (>= 2.0.0), DBI (>= 0.3.1), httpuv (>= 1.3.2), dplyr (>= 0.7.8), readr (>= 1.1.1), tibble (>= 1.4.2), purrr (>= 0.2.4), tidyr(>= 0.8.2), mime(>= 0.6), rstudioapi(>= 0.10), httr(>= 1.4.1), V8(>= 3.4.0), cli(>= 2.5.0)
Suggests: stats, grDevices, MASS, ggplot2(>= 2.1.0), testthat(>= 0.7.1.99), compare(>= 0.2.4), knitr(>= 1.7), rmarkdown(>= 0.9.2)
Encoding: UTF-8
LazyLoad: yes
LazyData: yes
ZipData: no
URL: https://github.com/IPS-LMU/emuR, https://ips-lmu.github.io/The-EMU-SDMS-Manual/
BugReports: https://github.com/IPS-LMU/emuR/issues
NeedsCompilation: no
Packaged: 2023-05-24 15:59:51 UTC; markus
Author: Markus Jochim [aut, cre] , Raphael Winkelmann [aut], Klaus Jaensch [aut, ctb], Steve Cassidy [aut, ctb], Jonathan Harrington [aut, ctb]
Maintainer: Markus Jochim <markusjochim@phonetik.uni-muenchen.de>
Repository: CRAN
Date/Publication: 2023-05-25 08:00:02 UTC

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Package covid19.analytics updated to version 2.1.3.1 with previous version 2.1.3 dated 2022-08-18

Title: Load and Analyze Live Data from the COVID-19 Pandemic
Description: Load and analyze updated time series worldwide data of reported cases for the Novel Coronavirus Disease (COVID-19) from different sources, including the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE) data repository <https://github.com/CSSEGISandData/COVID-19>, "Our World in Data" <https://github.com/owid/> among several others. The datasets reporting the COVID-19 cases are available in two main modalities, as a time series sequences and aggregated data for the last day with greater spatial resolution. Several analysis, visualization and modelling functions are available in the package that will allow the user to compute and visualize total number of cases, total number of changes and growth rate globally or for an specific geographical location, while at the same time generating models using these trends; generate interactive visualizations and generate Susceptible-Infected-Recovered (SIR) model for the disease spread.
Author: Marcelo Ponce [aut, cre], Amit Sandhel [ctb]
Maintainer: Marcelo Ponce <m.ponce@utoronto.ca>

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Package MCDA (with last version 0.0.24) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2023-03-27 0.0.24
2022-09-20 0.0.22
2021-04-05 0.0.21
2019-05-29 0.0.20

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Package RCPA (with last version 0.1.0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2023-05-11 0.1.0

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Package arulesSequences updated to version 0.2-30 with previous version 0.2-29 dated 2023-05-18

Title: Mining Frequent Sequences
Description: Add-on for arules to handle and mine frequent sequences. Provides interfaces to the C++ implementation of cSPADE by Mohammed J. Zaki.
Author: Christian Buchta and Michael Hahsler, with contributions from Daniel Diaz
Maintainer: Christian Buchta <christian.buchta@wu.ac.at>

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