Mon, 24 Oct 2022

Package spacefillr updated to version 0.3.2 with previous version 0.3.1 dated 2022-10-16

Title: Space-Filling Random and Quasi-Random Sequences
Description: Generates random and quasi-random space-filling sequences. Supports the following sequences: 'Halton', 'Sobol', 'Owen'-scrambled 'Sobol', 'Owen'-scrambled 'Sobol' with errors distributed as blue noise, progressive jittered, progressive multi-jittered ('PMJ'), 'PMJ' with blue noise, 'PMJ02', and 'PMJ02' with blue noise. Includes a 'C++' 'API'. Methods derived from "Constructing Sobol sequences with better two-dimensional projections" (2012) <doi:10.1137/070709359> S. Joe and F. Y. Kuo, "Progressive Multi-Jittered Sample Sequences" (2018) <https://graphics.pixar.com/library/ProgressiveMultiJitteredSampling/paper.pdf> Christensen, P., Kensler, A. and Kilpatrick, C., and "A Low-Discrepancy Sampler that Distributes Monte Carlo Errors as a Blue Noise in Screen Space" (2019) E. Heitz, B. Laurent, O. Victor, C. David and I. Jean-Claude, <doi:10.1145/3306307.3328191>.
Author: Tyler Morgan-Wall [aut, cph, cre] , Andrew Helmer [ctb, cph], Leonhard GruenschloƟ [ctb, cph], Eric Heitz [ctb, cph]
Maintainer: Tyler Morgan-Wall <tylermw@gmail.com>

Diff between spacefillr versions 0.3.1 dated 2022-10-16 and 0.3.2 dated 2022-10-24

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Package RHSDB updated to version 0.2.0 with previous version 0.1.0 dated 2020-12-16

Title: Ryan-Holm Step-Down Bonferroni or Sidak Procedure
Description: The Ryan-Holm step-down Bonferroni or Sidak procedure is to control the family-wise (experiment-wise) type I error rate in the multiple comparisons. This procedure provides the adjusting p-values and adjusting CIs. The methods used in this package are referenced from John Ludbrook (2000) <doi:10.1046/j.1440-1681.2000.03223.x>.
Author: Zhicheng Du Developer [aut, cre, cph], Hailin Feng Developer [aut]
Maintainer: Zhicheng Du Developer <dgdzc@hotmail.com>

Diff between RHSDB versions 0.1.0 dated 2020-12-16 and 0.2.0 dated 2022-10-24

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Package PlatformDesign updated to version 2.1.3 with previous version 1.0.1 dated 2022-06-13

Title: Optimal Two-Period Multiarm Platform Design with New Experimental Arms Added During the Trial
Description: Design parameters of the optimal two-period multiarm platform design (controlling for either family-wise error rate or pair-wise error rate) can be calculated using this package, allowing pre-planned deferred arms to be added during the trial. More details about the design method can be found in the paper: Pan, H., Yuan, X. and Ye, J. (2022) "An optimal two-period multiarm platform design with new experimental arms added during the trial". Manuscript submitted for publication. For additional references: Dunnett, C. W. (1955) <doi:10.2307/2281208>.
Author: Xiaomeng Yuan [aut, cre], Haitao Pan [aut]
Maintainer: Xiaomeng Yuan <xiaomeng.yuan@stjude.org>

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Package hlaR updated to version 0.1.5 with previous version 0.1.4 dated 2022-09-12

Title: Tools for HLA Data
Description: A streamlined tool for eplet analysis of donor and recipient HLA (human leukocyte antigen) mismatch. Messy, low-resolution HLA typing data is cleaned, and imputed to high-resolution using the NMDP (National Marrow Donor Program) haplotype reference database <https://haplostats.org/haplostats>. High resolution data is analyzed for overall or single antigen eplet mismatch using a reference table (currently supporting 'HLAMatchMaker' <http://www.epitopes.net> versions 2 and 3). Data can enter or exit the workflow at different points depending on the user's aims and initial data quality.
Author: Joan Zhang [aut, cre], Aileen Johnson [aut], Christian P Larsen [cph, aut]
Maintainer: Joan Zhang <joan.zhang@emory.edu>

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Package canvasXpress updated to version 1.40.6 with previous version 1.40.0 dated 2022-09-02

Title: Visualization Package for CanvasXpress in R
Description: Enables creation of visualizations using the CanvasXpress framework in R. CanvasXpress is a standalone JavaScript library for reproducible research with complete tracking of data and end-user modifications stored in a single PNG image that can be played back. See <https://www.canvasxpress.org> for more information.
Author: Isaac Neuhaus [aut], Connie Brett [aut, cre]
Maintainer: Connie Brett <connie@aggregate-genius.com>

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Package GPvecchia updated to version 0.1.4 with previous version 0.1.3 dated 2020-04-22

Title: Scalable Gaussian-Process Approximations
Description: Fast scalable Gaussian process approximations, particularly well suited to spatial (aerial, remote-sensed) and environmental data, described in more detail in Katzfuss and Guinness (2017) <arXiv:1708.06302>. Package also contains a fast implementation of the incomplete Cholesky decomposition (IC0), based on Schaefer et al. (2019) <arXiv:1706.02205> and MaxMin ordering proposed in Guinness (2018) <arXiv:1609.05372>.
Author: Matthias Katzfuss [aut], Marcin Jurek [aut, cre], Daniel Zilber [aut], Wenlong Gong [aut], Joe Guinness [ctb], Jingjie Zhang [ctb], Florian Schaefer [ctb]
Maintainer: Marcin Jurek <marcinjurek1988@gmail.com>

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Package rsurveycto updated to version 0.1.2 with previous version 0.1.0 dated 2022-09-26

Title: Interact with Data on 'SurveyCTO'
Description: 'SurveyCTO' is a platform for mobile data collection in offline settings. The 'rsurveycto' R package uses the 'SurveyCTO' REST API <https://docs.surveycto.com/05-exporting-and-publishing-data/05-api-access/01.api-access.html> to read datasets and forms from a 'SurveyCTO' server into R as 'data.table's and to download file attachments. The package also has limited support to write datasets to a server.
Author: Jake Hughey [aut, cre], Robert On [aut]
Maintainer: Jake Hughey <jakejhughey@gmail.com>

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Package origin updated to version 1.0.0 with previous version 0.5.3 dated 2021-09-22

Title: Explicitly Qualifying Namespaces by Automatically Adding 'pkg::' to Functions
Description: Automatically adding 'pkg::' to a function, i.e. mutate() becomes dplyr::mutate(). It is up to the user to determine which packages should be used explicitly, whether to include base R packages or use the functionality on selected text, a file, or a complete directory. User friendly logging is provided in the 'RStudio' Markers pane. Lives in the spirit of 'lintr' and 'styler'. Can also be used for checking which packages are actually used in a project.
Author: Matthias Nistler
Maintainer: Matthias Nistler <m_nistler@web.de>

Diff between origin versions 0.5.3 dated 2021-09-22 and 1.0.0 dated 2022-10-24

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Package ggdensity updated to version 0.1.1 with previous version 0.1.0 dated 2022-07-20

Title: Interpretable Bivariate Density Visualization with 'ggplot2'
Description: The 'ggplot2' package provides simple functions for visualizing contours of 2-d kernel density estimates. 'ggdensity' implements several additional density estimators as well as more interpretable visualizations based on highest density regions instead of the traditional height of the estimated density surface.
Author: James Otto [aut, cre] , David Kahle [aut]
Maintainer: James Otto <jamesotto852@gmail.com>

Diff between ggdensity versions 0.1.0 dated 2022-07-20 and 0.1.1 dated 2022-10-24

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New package picR with initial version 1.0.0
Package: picR
Title: Predictive Information Criteria for Model Selection
Version: 1.0.0
Description: Computation of predictive information criteria (PIC) from select model object classes for model selection in predictive contexts. In contrast to the more widely used Akaike Information Criterion (AIC), which are derived under the assumption that target(s) of prediction (i.e. validation data) are independently and identically distributed to the fitting data, the PIC are derived under less restrictive assumptions and thus generalize AIC to the more practically relevant case of training/validation data heterogeneity. The methodology featured in this package is based on Flores (2021) <https://iro.uiowa.edu/esploro/outputs/doctoral/A-new-class-of-information-criteria/9984097169902771?institution=01IOWA_INST> "A new class of information criteria for improved prediction in the presence of training/validation data heterogeneity".
License: GPL (>= 3)
Encoding: UTF-8
Imports: stats
Suggests: rmarkdown, knitr, testthat (>= 3.0.0), dplyr
URL: https://github.com/javenrflo/picR
BugReports: https://github.com/javenrflo/picR/issues
NeedsCompilation: no
Packaged: 2022-10-21 20:05:32 UTC; javenrflo
Author: Javier Flores [aut, cre]
Maintainer: Javier Flores <javenrflo.pro@pm.me>
Repository: CRAN
Date/Publication: 2022-10-24 17:52:36 UTC

More information about picR at CRAN
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Package hydrotoolbox updated to version 1.1.0 with previous version 1.0.0 dated 2021-07-08

Title: Hydrological Tools for Handling Hydro-Meteorological Data Records
Description: Read, plot, manipulate and process hydro-meteorological data records (with special features for Argentina and Chile data-sets).
Author: Ezequiel Toum <etoum@mendoza-conicet.gob.ar>
Maintainer: Ezequiel Toum <etoum@mendoza-conicet.gob.ar>

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Package wordbankr (with last version 1.0.0) was removed from CRAN

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

2022-09-09 1.0.0

Permanent link
Package PesticideLoadIndicator updated to version 1.3.1 with previous version 1.3.0 dated 2022-10-13

Title: Computes Danish Pesticide Load Indicator
Description: Computes the Danish Pesticide Load Indicator as described in Kudsk et al. (2018) <doi:10.1016/j.landusepol.2017.11.010> and Moehring et al. (2019) <doi:10.1016/j.scitotenv.2018.07.287> for pesticide use data. Additionally offers the possibility to directly link pesticide use data to pesticide properties given access to the Pesticide properties database (Lewis et al., 2016) <doi:10.1080/10807039.2015.1133242>.
Author: Niklas Moehring [aut, cre] , Leonie Vidensky [aut], Robert Finger [aut], Per Kudsk [aut], Lise Nistrup Joergensen [aut], Jens Erik Orum [aut], Uwe Schmitt [ctb]
Maintainer: Niklas Moehring <niklas.moehring@mtec.ethz.ch>

Diff between PesticideLoadIndicator versions 1.3.0 dated 2022-10-13 and 1.3.1 dated 2022-10-24

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Package lmeInfo updated to version 0.3.0 with previous version 0.2.1 dated 2022-07-06

Title: Information Matrices for 'lmeStruct' and 'glsStruct' Objects
Description: Provides analytic derivatives and information matrices for fitted linear mixed effects (lme) models and generalized least squares (gls) models estimated using lme() (from package 'nlme') and gls() (from package 'nlme'), respectively. The package includes functions for estimating the sampling variance-covariance of variance component parameters using the inverse Fisher information. The variance components include the parameters of the random effects structure (for lme models), the variance structure, and the correlation structure. The expected and average forms of the Fisher information matrix are used in the calculations, and models estimated by full maximum likelihood or restricted maximum likelihood are supported. The package also includes a function for estimating standardized mean difference effect sizes (Pustejovsky, Hedges, and Shadish (2014) <DOI:10.3102/1076998614547577>) based on fitted lme or gls models.
Author: James Pustejovsky [aut] , Man Chen [aut, cre]
Maintainer: Man Chen <manchen9005@gmail.com>

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Package clinUtils updated to version 0.1.3 with previous version 0.1.1 dated 2022-02-22

Title: General Utility Functions for Analysis of Clinical Data
Description: Utility functions to facilitate the import, the reporting and analysis of clinical data. Example datasets in 'SDTM' and 'ADaM' format, containing a subset of patients/domains from the 'CDISC Pilot 01 study' are also available as R datasets to demonstrate the package functionalities.
Author: Laure Cougnaud [aut, cre], Michela Pasetto [aut], Arne De Roeck [rev] , Open Analytics [cph]
Maintainer: Laure Cougnaud <laure.cougnaud@openanalytics.eu>

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Package cgmanalysis updated to version 2.7.6 with previous version 2.7.5 dated 2022-09-30

Title: Clean and Analyze Continuous Glucose Monitor Data
Description: This code provides several different functions for cleaning and analyzing continuous glucose monitor data. Currently it works with 'Dexcom', 'iPro 2', 'Diasend', 'Libre', or 'Carelink' data. The cleandata() function takes a directory of CGM data files and prepares them for analysis. cgmvariables() iterates through a directory of cleaned CGM data files and produces a single spreadsheet with data for each file in either rows or columns. The column format of this spreadsheet is compatible with REDCap data upload. cgmreport() also iterates through a directory of cleaned data, and produces PDFs of individual and aggregate AGP plots. Please visit <https://github.com/childhealthbiostatscore/R-Packages/> to download the new-user guide.
Author: Tim Vigers [aut, cre]
Maintainer: Tim Vigers <timothy.vigers@cuanschutz.edu>

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Package torch updated to version 0.9.0 with previous version 0.8.1 dated 2022-08-19

Title: Tensors and Neural Networks with 'GPU' Acceleration
Description: Provides functionality to define and train neural networks similar to 'PyTorch' by Paszke et al (2019) <arXiv:1912.01703> but written entirely in R using the 'libtorch' library. Also supports low-level tensor operations and 'GPU' acceleration.
Author: Daniel Falbel [aut, cre, cph], Javier Luraschi [aut], Dmitriy Selivanov [ctb], Athos Damiani [ctb], Christophe Regouby [ctb], Krzysztof Joachimiak [ctb], Hamada S. Badr [ctb], RStudio [cph]
Maintainer: Daniel Falbel <daniel@rstudio.com>

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Package RPANDA updated to version 2.2 with previous version 2.1 dated 2022-07-18

Title: Phylogenetic ANalyses of DiversificAtion
Description: Implements macroevolutionary analyses on phylogenetic trees. See Morlon et al. (2010) <DOI:10.1371/journal.pbio.1000493>, Morlon et al. (2011) <DOI:10.1073/pnas.1102543108>, Condamine et al. (2013) <DOI:10.1111/ele.12062>, Morlon et al. (2014) <DOI:10.1111/ele.12251>, Manceau et al. (2015) <DOI:10.1111/ele.12415>, Lewitus & Morlon (2016) <DOI:10.1093/sysbio/syv116>, Drury et al. (2016) <DOI:10.1093/sysbio/syw020>, Manceau et al. (2016) <DOI:10.1093/sysbio/syw115>, Morlon et al. (2016) <DOI:10.1111/2041-210X.12526>, Clavel & Morlon (2017) <DOI:10.1073/pnas.1606868114>, Drury et al. (2017) <DOI:10.1093/sysbio/syx079>, Lewitus & Morlon (2017) <DOI:10.1093/sysbio/syx095>, Drury et al. (2018) <DOI:10.1371/journal.pbio.2003563>, Clavel et al. (2019) <DOI:10.1093/sysbio/syy045>, Maliet et al. (2019) <DOI:10.1038/s41559-019-0908-0>, Billaud et al. (2019) <DOI:10.1093/sysbio/syz057>, Lewi [...truncated...]
Author: Helene Morlon [aut, cre, cph], Eric Lewitus [aut, cph], Fabien Condamine [aut, cph], Marc Manceau [aut, cph], Julien Clavel [aut, cph], Jonathan Drury [aut, cph], Olivier Billaud [aut, cph], Odile Maliet [aut, cph], Leandro Aristide [aut, cph], Benoi [...truncated...]
Maintainer: Helene Morlon <helene.morlon@bio.ens.psl.eu>

Diff between RPANDA versions 2.1 dated 2022-07-18 and 2.2 dated 2022-10-24

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Package datefixR updated to version 1.3.1 with previous version 1.3.0 dated 2022-10-17

Title: Standardize Dates in Different Formats or with Missing Data
Description: There are many different formats dates are commonly represented with: the order of day, month, or year can differ, different separators ("-", "/", or whitespace) can be used, months can be numerical, names, or abbreviations and year given as two digits or four. 'datefixR' takes dates in all these different formats and converts them to R's built-in date class. If 'datefixR' cannot standardize a date, such as because it is too malformed, then the user is told which date cannot be standardized and the corresponding ID for the row. 'datefixR' also allows the imputation of missing days and months with user-controlled behavior.
Author: Nathan Constantine-Cooke [aut, cre] , Jonathan Kitt [ctb, trl], Antonio J. Perez-Luque [ctb, trl] , Daniel Possenriede [ctb, trl] , Kaique dos S. Alves [rev] , Al-Ahmadgaid B. Asaad [rev]
Maintainer: Nathan Constantine-Cooke <nathan.constantine-cooke@ed.ac.uk>

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Package btb updated to version 0.2.0 with previous version 0.1.30.3 dated 2020-06-03

Title: Beyond the Border - Kernel Density Estimation for Urban Geography
Description: The kernelSmoothing() function allows you to square and smooth geolocated data. It calculates a classical kernel smoothing (conservative) or a geographically weighted median. There are four major call modes of the function. The first call mode is kernelSmoothing(obs, epsg, cellsize, bandwidth) for a classical kernel smoothing and automatic grid. The second call mode is kernelSmoothing(obs, epsg, cellsize, bandwidth, quantiles) for a geographically weighted median and automatic grid. The third call mode is kernelSmoothing(obs, epsg, cellsize, bandwidth, centroids) for a classical kernel smoothing and user grid. The fourth call mode is kernelSmoothing(obs, epsg, cellsize, bandwidth, quantiles, centroids) for a geographically weighted median and user grid. Geographically weighted summary statistics : a framework for localised exploratory data analysis, C.Brunsdon & al., in Computers, Environment and Urban Systems C.Brunsdon & al. (2002) <doi:10.1016/S0198-9715(01)00009-6>, S [...truncated...]
Author: Arlindo Dos Santos [aut], Francois Semecurbe [aut], Julien Pramil [aut], Kim Antunez [cre, ctb], Auriane Renaud [ctb], Farida Marouchi [ctb], Joachim Timoteo [ctb], Institut national de la statistique et des etudes economiques [cph]
Maintainer: Kim Antunez <antuki.kim+cran@gmail.com>

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Package rsconnect updated to version 0.8.28 with previous version 0.8.27 dated 2022-07-12

Title: Deployment Interface for R Markdown Documents and Shiny Applications
Description: Programmatic deployment interface for 'RPubs', 'shinyapps.io', and 'RStudio Connect'. Supported content types include R Markdown documents, Shiny applications, Plumber APIs, plots, and static web content.
Author: Aron Atkins [aut, cre], Jonathan McPherson [aut], JJ Allaire [aut], RStudio [cph, fnd]
Maintainer: Aron Atkins <aron@rstudio.com>

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Package ragg updated to version 1.2.4 with previous version 1.2.3 dated 2022-09-29

Title: Graphic Devices Based on AGG
Description: Anti-Grain Geometry (AGG) is a high-quality and high-performance 2D drawing library. The 'ragg' package provides a set of graphic devices based on AGG to use as alternative to the raster devices provided through the 'grDevices' package.
Author: Thomas Lin Pedersen [cre, aut] , Maxim Shemanarev [aut, cph] , Tony Juricic [ctb, cph] , Milan Marusinec [ctb, cph] , Spencer Garrett [ctb] , RStudio [cph, fnd]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@rstudio.com>

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Package mlr3tuningspaces updated to version 0.3.1 with previous version 0.3.0 dated 2022-06-28

Title: Search Spaces for Hyperparameter Tuning
Description: Collection of search spaces for hyperparameter tuning. Includes various search spaces that can be directly applied on an `mlr3` learner. Additionally, meta information about the search space can be queried.
Author: Marc Becker [cre, aut] , Michel Lang [ctb]
Maintainer: Marc Becker <marcbecker@posteo.de>

Diff between mlr3tuningspaces versions 0.3.0 dated 2022-06-28 and 0.3.1 dated 2022-10-24

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Package kstMatrix updated to version 0.1-4 with previous version 0.1-3 dated 2022-03-25

Title: Basic Functions in Knowledge Space Theory Using Matrix Representation
Description: Knowledge space theory by Doignon and Falmagne (1999) <doi:10.1007/978-3-642-58625-5> is a set- and order-theoretical framework, which proposes mathematical formalisms to operationalize knowledge structures in a particular domain. The 'kstMatrix' package provides basic functionalities to generate, handle, and manipulate knowledge structures and knowledge spaces. Opposed to the 'kst' package, 'kstMatrix' uses matrix representations for knowledge structures. Furthermore, 'kstMatrix' contains several knowledge spaces developed by the research group around Cornelia Dowling through querying experts.
Author: Cord Hockemeyer [aut, cre], Wai Wong [aut]
Maintainer: Cord Hockemeyer <cord.hockemeyer@uni-graz.at>

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Package Recocrop updated to version 0.4-1 with previous version 0.3-2 dated 2021-05-04

Title: Estimating Environmental Suitability for Plants
Description: The ecocrop model estimates environmental suitability for plants using a limiting factor approach for plant growth following Hackett (1991) <doi:10.1007/BF00045728>. The implementation in this package is fast and flexible: it allows for the use of any (environmental) predictor variable. Predictors can be either static (for example, soil pH) or dynamic (for example, monthly precipitation).
Author: Robert J. Hijmans [cre, aut], Rhys Manners [ctb]
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>

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Package LexisNexisTools updated to version 0.3.6 with previous version 0.3.5 dated 2022-01-04

Title: Working with Files from 'LexisNexis'
Description: My PhD supervisor once told me that everyone doing newspaper analysis starts by writing code to read in files from the 'LexisNexis' newspaper archive (retrieved e.g., from <https://www.lexisnexis.com/> or any of the partner sites). However, while this is a nice exercise I do recommend, not everyone has the time. This package takes files downloaded from the newspaper archive of 'LexisNexis', reads them into R and offers functions for further processing.
Author: Johannes Gruber [aut, cre]
Maintainer: Johannes Gruber <JohannesB.Gruber@gmail.com>

Diff between LexisNexisTools versions 0.3.5 dated 2022-01-04 and 0.3.6 dated 2022-10-24

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Package kst updated to version 0.5-4 with previous version 0.5-3 dated 2022-07-13

Title: Knowledge Space Theory
Description: Knowledge space theory by Doignon and Falmagne (1999) <doi:10.1007/978-3-642-58625-5> is a set- and order-theoretical framework, which proposes mathematical formalisms to operationalize knowledge structures in a particular domain. The 'kst' package provides basic functionalities to generate, handle, and manipulate knowledge structures and knowledge spaces.
Author: Christina Stahl [aut], David Meyer [aut], Cord Hockemeyer [aut, cre]
Maintainer: Cord Hockemeyer <cord.hockemeyer@uni-graz.at>

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Package GLDEX updated to version 2.0.0.9.2 with previous version 2.0.0.9.1 dated 2022-10-18

Title: Fitting Single and Mixture of Generalised Lambda Distributions
Description: The fitting algorithms considered in this package have two major objectives. One is to provide a smoothing device to fit distributions to data using the weight and unweighted discretised approach based on the bin width of the histogram. The other is to provide a definitive fit to the data set using the maximum likelihood and quantile matching estimation. Other methods such as moment matching, starship method, L moment matching are also provided. Diagnostics on goodness of fit can be done via qqplots, KS-resample tests and comparing mean, variance, skewness and kurtosis of the data with the fitted distribution. References include the following: Karvanen and Nuutinen (2008) "Characterizing the generalized lambda distribution by L-moments" <doi:10.1016/j.csda.2007.06.021>, King and MacGillivray (1999) "A starship method for fitting the generalised lambda distributions" <doi:10.1111/1467-842X.00089>, Su (2005) "A Discretized Approach to Flexibly Fit Generalized Lambda Distribut [...truncated...]
Author: Steve Su [aut, cre, cph] , Martin Maechler [aut], Juha Karvanen [aut], Robert King [aut], Benjamin Dean [ctb], R Core Team [aut]
Maintainer: Steve Su <allegro.su@gmail.com>

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Package AlphaHull3D updated to version 1.1.0 with previous version 1.0.0 dated 2022-10-19

Title: Alpha Hull Computation
Description: Computation of the alpha hull of a set of points in the 3D space, that is to say "something like the shape formed by these points". The alpha hull depends on a positive parameter alpha. When alpha goes to zero, the alpha hull degenerates to the set of points, while it is the convex hull of the set of points when alpha goes to infinity. Computations are performed by the 'CGAL' 'C++' library <https://www.cgal.org/>.
Author: Stephane Laurent [aut, cre]
Maintainer: Stephane Laurent <laurent_step@outlook.fr>

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Package spc updated to version 0.6.7 with previous version 0.6.6 dated 2022-03-17

Title: Statistical Process Control -- Calculation of ARL and Other Control Chart Performance Measures
Description: Evaluation of control charts by means of the zero-state, steady-state ARL (Average Run Length) and RL quantiles. Setting up control charts for given in-control ARL. The control charts under consideration are one- and two-sided EWMA, CUSUM, and Shiryaev-Roberts schemes for monitoring the mean or variance of normally distributed independent data. ARL calculation of the same set of schemes under drift (in the mean) are added. Eventually, all ARL measures for the multivariate EWMA (MEWMA) are provided.
Author: Sven Knoth
Maintainer: Sven Knoth <Sven.Knoth@gmx.de>

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Package openxlsx updated to version 4.2.5.1 with previous version 4.2.5 dated 2021-12-14

Title: Read, Write and Edit xlsx Files
Description: Simplifies the creation of Excel .xlsx files by providing a high level interface to writing, styling and editing worksheets. Through the use of 'Rcpp', read/write times are comparable to the 'xlsx' and 'XLConnect' packages with the added benefit of removing the dependency on Java.
Author: Philipp Schauberger [aut, cre], Alexander Walker [aut], Luca Braglia [ctb], Joshua Sturm [ctb], Jan Marvin Garbuszus [ctb], Jordan Mark Barbone [ctb]
Maintainer: Philipp Schauberger <philipp@schauberger.co.at>

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Package foghorn updated to version 1.5.1 with previous version 1.4.2 dated 2021-07-11

Title: Summarize CRAN Check Results in the Terminal
Description: The CRAN check results and where your package stands in the CRAN submission queue in your R terminal.
Author: Francois Michonneau [aut, cre], Ben Bolker [ctb]
Maintainer: Francois Michonneau <francois.michonneau@gmail.com>

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Package e1071 updated to version 1.7-12 with previous version 1.7-11 dated 2022-06-07

Title: Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU Wien
Description: Functions for latent class analysis, short time Fourier transform, fuzzy clustering, support vector machines, shortest path computation, bagged clustering, naive Bayes classifier, generalized k-nearest neighbour ...
Author: David Meyer [aut, cre], Evgenia Dimitriadou [aut, cph], Kurt Hornik [aut], Andreas Weingessel [aut], Friedrich Leisch [aut], Chih-Chung Chang [ctb, cph] , Chih-Chen Lin [ctb, cph]
Maintainer: David Meyer <David.Meyer@R-project.org>

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Package penppml updated to version 0.2.0 with previous version 0.1.1 dated 2022-01-03

Title: Penalized Poisson Pseudo Maximum Likelihood Regression
Description: A set of tools that enables efficient estimation of penalized Poisson Pseudo Maximum Likelihood regressions, using lasso or ridge penalties, for models that feature one or more sets of high-dimensional fixed effects. The methodology is based on Breinlich, Corradi, Rocha, Ruta, Santos Silva, and Zylkin (2021) <http://hdl.handle.net/10986/35451> and takes advantage of the method of alternating projections of Gaure (2013) <doi:10.1016/j.csda.2013.03.024> for dealing with HDFE, as well as the coordinate descent algorithm of Friedman, Hastie and Tibshirani (2010) <doi:10.18637/jss.v033.i01> for fitting lasso regressions. The package is also able to carry out cross-validation and to implement the plugin lasso of Belloni, Chernozhukov, Hansen and Kozbur (2016) <doi:10.1080/07350015.2015.1102733>.
Author: Diego Ferreras Garrucho [aut], Tom Zylkin [aut], Nicolas Apfel [cre]
Maintainer: Nicolas Apfel <nicolas.apfel@gmail.com>

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Package timereg updated to version 2.0.3 with previous version 2.0.2 dated 2022-04-11

Title: Flexible Regression Models for Survival Data
Description: Programs for Martinussen and Scheike (2006), `Dynamic Regression Models for Survival Data', Springer Verlag. Plus more recent developments. Additive survival model, semiparametric proportional odds model, fast cumulative residuals, excess risk models and more. Flexible competing risks regression including GOF-tests. Two-stage frailty modelling. PLS for the additive risk model. Lasso in the 'ahaz' package.
Author: Thomas Scheike with contributions from Torben Martinussen, Jeremy Silver and Klaus Holst
Maintainer: Thomas Scheike <ts@biostat.ku.dk>

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Package inlabru updated to version 2.6.0 with previous version 2.5.3 dated 2022-09-05

Title: Bayesian Latent Gaussian Modelling using INLA and Extensions
Description: Facilitates spatial and general latent Gaussian modeling using integrated nested Laplace approximation via the INLA package (<https://www.r-inla.org>). Additionally, extends the GAM-like model class to more general nonlinear predictor expressions, and implements a log Gaussian Cox process likelihood for modeling univariate and spatial point processes based on ecological survey data. Model components are specified with general inputs and mapping methods to the latent variables, and the predictors are specified via general R expressions, with separate expressions for each observation likelihood model in multi-likelihood models. A prediction method based on fast Monte Carlo sampling allows posterior prediction of general expressions of the latent variables. Ecology-focused introduction in Bachl, Lindgren, Borchers, and Illian (2019) <doi:10.1111/2041-210X.13168>.
Author: Finn Lindgren [aut, cre, cph] , Fabian E. Bachl [aut, cph] , David L. Borchers [ctb, dtc, cph] , Daniel Simpson [ctb, cph] , Lindesay Scott-Howard [ctb, dtc, cph] , Seaton Andy [ctb] , Suen Man Ho [ctb, cph] , Roudier Pierre [ctb, cph] , Meehan Tim [ [...truncated...]
Maintainer: Finn Lindgren <finn.lindgren@gmail.com>

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Package tclust updated to version 1.5-2 with previous version 1.5-1 dated 2022-04-26

Title: Robust Trimmed Clustering
Description: Provides functions for robust trimmed clustering. The methods are described in Garcia-Escudero (2008) <doi:10.1214/07-AOS515>, Fritz et al. (2012) <doi:10.18637/jss.v047.i12>, Garcia-Escudero et al. (2011) <doi:10.1007/s11222-010-9194-z> and others.
Author: Agustin Mayo Iscar, Luis Angel Garcia Escudero, Heinrich Fritz
Maintainer: Valentin Todorov <valentin.todorov@chello.at>

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Package rrcov updated to version 1.7-2 with previous version 1.7-1 dated 2022-08-12

Title: Scalable Robust Estimators with High Breakdown Point
Description: Robust Location and Scatter Estimation and Robust Multivariate Analysis with High Breakdown Point: principal component analysis (Filzmoser and Todorov (2013), <doi:10.1016/j.ins.2012.10.017>), linear and quadratic discriminant analysis (Todorov and Pires (2007)), multivariate tests (Todorov and Filzmoser (2010) <doi:10.1016/j.csda.2009.08.015>), outlier detection (Todorov et al. (2010) <doi:10.1007/s11634-010-0075-2>). See also Todorov and Filzmoser (2009) <ISBN-13:978-3838108148>, Todorov and Filzmoser (2010) <doi:10.18637/jss.v032.i03> and Boudt et al. (2019) <doi:10.1007/s11222-019-09869-x>.
Author: Valentin Todorov [aut, cre]
Maintainer: Valentin Todorov <valentin.todorov@chello.at>

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Package pcts updated to version 0.15.5 with previous version 0.15.4 dated 2022-09-28

Title: Periodically Correlated and Periodically Integrated Time Series
Description: Classes and methods for modelling and simulation of periodically correlated (PC) and periodically integrated time series. Compute theoretical periodic autocovariances and related properties of PC autoregressive moving average models. Some original methods including Boshnakov & Iqelan (2009) <doi:10.1111/j.1467-9892.2009.00617.x>, Boshnakov (1996) <doi:10.1111/j.1467-9892.1996.tb00281.x>.
Author: Georgi N. Boshnakov [aut, cre]
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>

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Package pcaPP updated to version 2.0-3 with previous version 2.0-2 dated 2022-07-08

Title: Robust PCA by Projection Pursuit
Description: Provides functions for robust PCA by projection pursuit. The methods are described in Croux et al. (2006) <doi:10.2139/ssrn.968376>, Croux et al. (2013) <doi:10.1080/00401706.2012.727746>, Todorov and Filzmoser (2013) <doi:10.1007/978-3-642-33042-1_31>.
Author: Peter Filzmoser, Heinrich Fritz, Klaudius Kalcher
Maintainer: Valentin Todorov <valentin.todorov@chello.at>

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Package nanotime updated to version 0.3.7 with previous version 0.3.6 dated 2022-03-06

Title: Nanosecond-Resolution Time Support for R
Description: Full 64-bit resolution date and time functionality with nanosecond granularity is provided, with easy transition to and from the standard 'POSIXct' type. Three additional classes offer interval, period and duration functionality for nanosecond-resolution timestamps.
Author: Dirk Eddelbuettel and Leonardo Silvestri
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package MixSim updated to version 1.1-6 with previous version 1.1-5 dated 2021-11-06

Title: Simulating Data to Study Performance of Clustering Algorithms
Description: The utility of this package is in simulating mixtures of Gaussian distributions with different levels of overlap between mixture components. Pairwise overlap, defined as a sum of two misclassification probabilities, measures the degree of interaction between components and can be readily employed to control the clustering complexity of datasets simulated from mixtures. These datasets can then be used for systematic performance investigation of clustering and finite mixture modeling algorithms. Among other capabilities of 'MixSim', there are computing the exact overlap for Gaussian mixtures, simulating Gaussian and non-Gaussian data, simulating outliers and noise variables, calculating various measures of agreement between two partitionings, and constructing parallel distribution plots for the graphical display of finite mixture models.
Author: Volodymyr Melnykov [aut], Wei-Chen Chen [aut, cre], Ranjan Maitra [aut], Robert Davies [ctb] , Stephen Moshier [ctb] , Rouben Rostamian [ctb]
Maintainer: Wei-Chen Chen <wccsnow@gmail.com>

Diff between MixSim versions 1.1-5 dated 2021-11-06 and 1.1-6 dated 2022-10-24

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Package caretForecast updated to version 0.1.1 with previous version 0.0.3 dated 2022-05-02

Title: Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms
Description: Conformal time series forecasting using the caret infrastructure. It provides access to state-of-the-art machine learning models for forecasting applications. The hyperparameter of each model is selected based on time series cross-validation, and forecasting is done recursively.
Author: Resul Akay [aut, cre]
Maintainer: Resul Akay <resulakay1@gmail.com>

Diff between caretForecast versions 0.0.3 dated 2022-05-02 and 0.1.1 dated 2022-10-24

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Package NHMM (with last version 3.11) was removed from CRAN

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

2020-06-30 3.11
2019-10-30 3.10
2019-10-18 3.9

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Package brassica updated to version 1.0.2 with previous version 1.0.1 dated 2022-09-12

Title: 1970s BASIC Interpreter
Description: Executes BASIC programs from the 1970s, for historical and educational purposes. This enables famous examples of early machine learning, artificial intelligence, natural language processing, cellular automata, and so on, to be run in their original form.
Author: Mike Lee
Maintainer: Mike Lee <random.deviate@gmail.com>

Diff between brassica versions 1.0.1 dated 2022-09-12 and 1.0.2 dated 2022-10-24

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Package CGNM (with last version 0.4.0) was removed from CRAN

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

2022-07-13 0.4.0
2022-06-04 0.3.2
2022-03-14 0.3.1
2022-01-10 0.1.1
2022-01-06 0.1.0

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Package HDPenReg (with last version 0.94.8) was removed from CRAN

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

2022-05-14 0.94.8
2020-10-05 0.94.7
2019-04-10 0.94.6
2018-01-19 0.93.2
2016-01-26 0.93.1
2015-09-07 0.92
2015-02-16 0.91
2014-11-03 0.90
2014-09-08 0.89.9
2014-07-28 0.89.8
2014-07-17 0.89.7

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Package EcoEnsemble (with last version 1.0.0) was removed from CRAN

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

2022-10-10 1.0.0

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Package MPAgenomics (with last version 1.2.3) was removed from CRAN

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

2021-03-30 1.2.3

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