Thu, 10 Nov 2022

Package latrend updated to version 1.5.0 with previous version 1.4.3 dated 2022-10-26

Title: A Framework for Clustering Longitudinal Data
Description: A framework for clustering longitudinal datasets in a standardized way. The package provides an interface to existing R packages for clustering longitudinal univariate trajectories, facilitating reproducible and transparent analyses. Additionally, standard tools are provided to support cluster analyses, including repeated estimation, model validation, and model assessment. The interface enables users to compare results between methods, and to implement and evaluate new methods with ease.
Author: Niek Den Teuling [aut, cre] , Steffen Pauws [ctb], Edwin van den Heuvel [ctb], Koninklijke Philips N.V. [cph]
Maintainer: Niek Den Teuling <niek.den.teuling@philips.com>

Diff between latrend versions 1.4.3 dated 2022-10-26 and 1.5.0 dated 2022-11-10

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New package vermeulen with initial version 0.1.1
Package: vermeulen
Title: 'Biomarker' Data Set by Vermeulen et al. (2009)
Version: 0.1.1
Description: The 'biomarker' data set by Vermeulen et al. (2009) <doi:10.1016/S1470-2045(09)70154-8> is provided. The data source, however, is by Ruijter et al. (2013) <doi:10.1016/j.ymeth.2012.08.011>. The original data set may be downloaded from <https://medischebiologie.nl/wp-content/uploads/2019/02/qpcrdatamethods.zip>. This data set is for a real-time quantitative polymerase chain reaction ('PCR') experiment that comprises the raw fluorescence data of 24,576 amplification curves. This data set comprises 59 genes of interest and 5 reference genes. Each gene was assessed on 366 neuroblastoma complementary DNA ('cDNA') samples and on 18 standard dilution series samples (10-fold 5-point dilution series x 3 replicates + no template controls ('NTC') x 3 replicates).
License: CC BY 4.0
Encoding: UTF-8
Depends: R (>= 2.10)
Imports: memoise
Suggests: dplyr, ggplot2, rmarkdown, spelling, testthat (>= 3.0.0), tibble
Language: en-US
URL: https://github.com/ramiromagno/vermeulen, https://rmagno.eu/vermeulen/
BugReports: https://github.com/ramiromagno/vermeulen/issues
NeedsCompilation: no
Packaged: 2022-11-10 00:12:07 UTC; rmagno
Author: Ramiro Magno [aut, cre] , Pattern Institute [cph, fnd]
Maintainer: Ramiro Magno <ramiro.magno@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-10 19:10:02 UTC

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Package sparseR updated to version 0.2.1 with previous version 0.2.0 dated 2022-08-17

Title: Variable Selection under Ranked Sparsity Principles for Interactions and Polynomials
Description: An implementation of ranked sparsity methods, including penalized regression methods such as the sparsity-ranked lasso, its non-convex alternatives, and elastic net, as well as the sparsity-ranked Bayesian Information Criterion. As described in Peterson and Cavanaugh (2022) <doi:10.1007/s10182-021-00431-7>, ranked sparsity is a philosophy with methods primarily useful for variable selection in the presence of prior informational asymmetry, which occurs in the context of trying to perform variable selection in the presence of interactions and/or polynomials. Ultimately, this package attempts to facilitate dealing with cumbersome interactions and polynomials while not avoiding them entirely. Typically, models selected under ranked sparsity principles will also be more transparent, having fewer falsely selected interactions and polynomials than other methods.
Author: Ryan Andrew Peterson [aut, cre]
Maintainer: Ryan Andrew Peterson <ryan.a.peterson@cuanschutz.edu>

Diff between sparseR versions 0.2.0 dated 2022-08-17 and 0.2.1 dated 2022-11-10

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Package remaCor updated to version 0.0.11 with previous version 0.0.9 dated 2022-09-07

Title: Random Effects Meta-Analysis for Correlated Test Statistics
Description: Meta-analysis is widely used to summarize estimated effects sizes across multiple statistical tests. Standard fixed and random effect meta-analysis methods assume that the estimated of the effect sizes are statistically independent. Here we relax this assumption and enable meta-analysis when the correlation matrix between effect size estimates is known. Fixed effect meta-analysis uses the method of Lin and Sullivan (2009) <doi:10.1016/j.ajhg.2009.11.001>, and random effects meta-analysis uses the method of Han, et al. <doi:10.1093/hmg/ddw049>.
Author: Gabriel Hoffman [aut, cre]
Maintainer: Gabriel Hoffman <gabriel.hoffman@mssm.edu>

Diff between remaCor versions 0.0.9 dated 2022-09-07 and 0.0.11 dated 2022-11-10

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New package bstrl with initial version 1.0.2
Package: bstrl
Title: Bayesian Streaming Record Linkage
Version: 1.0.2
Description: Perform record linkage on streaming files using recursive Bayesian updating.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: BRL, doParallel, extraDistr, foreach, parallel
Depends: R (>= 2.10)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-11-09 22:20:46 UTC; ianmt
Author: Brenda Betancourt [aut], Andee Kaplan [aut], Ian Taylor [aut, cre]
Maintainer: Ian Taylor <ian.taylor@colostate.edu>
Repository: CRAN
Date/Publication: 2022-11-10 19:10:08 UTC

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Package bdots updated to version 1.2.0 with previous version 1.1.0 dated 2022-05-31

Title: Bootstrapped Differences of Time Series
Description: Analyze differences among time series curves with p-value adjustment for multiple comparisons introduced in Oleson et al (2015) <DOI:10.1177/0962280215607411>.
Author: Collin Nolte, Michael Seedorff, Jacob Oleson, Grant Brown, Joseph Cavanaugh, and Bob McMurray
Maintainer: Collin Nolte <collin-nolte@uiowa.edu>

Diff between bdots versions 1.1.0 dated 2022-05-31 and 1.2.0 dated 2022-11-10

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New package arctools with initial version 1.1.6
Package: arctools
Title: Processing and Physical Activity Summaries of Minute Level Activity Data
Version: 1.1.6
Description: Provides functions to process minute level actigraphy-measured activity counts data and extract commonly used physical activity volume and fragmentation metrics.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
Suggests: testthat, data.table, dplyr, knitr, rmarkdown, ggplot2
Imports: lubridate, runstats
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-11-09 17:42:15 UTC; martakaras
Author: Marta Karas [aut, cre] , Jennifer Schrack [aut] , Jacek Urbanek [aut]
Maintainer: Marta Karas <marta.karass@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-10 19:10:11 UTC

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New package juicyjuice with initial version 0.1.0
Package: juicyjuice
Title: Inline CSS Properties into HTML Tags Using 'juice'
Version: 0.1.0
Description: There are occasions where you need a piece of HTML with integrated styles. A prime example of this is HTML email. This transformation involves moving the CSS and associated formatting instructions from the style block in the head of your document into the body of the HTML. Many prominent email clients require integrated styles in HTML email; otherwise a received HTML email will be displayed without any styling. This package will quickly and precisely perform these CSS transformations when given HTML text and it does so by using the JavaScript 'juice' library.
License: MIT + file LICENSE
URL: https://github.com/rich-iannone/juicyjuice
BugReports: https://github.com/rich-iannone/juicyjuice/issues
Encoding: UTF-8
Imports: V8 (>= 4.2.0)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2022-11-09 19:42:30 UTC; rich
Author: Richard Iannone [aut, cre, cph] , Automattic [cph] , juice contributors [ctb]
Maintainer: Richard Iannone <riannone@me.com>
Repository: CRAN
Date/Publication: 2022-11-10 19:00:02 UTC

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New package fMRItools with initial version 0.1.3
Package: fMRItools
Title: Routines for Common fMRI Processing Tasks
Version: 0.1.3
Maintainer: Amanda Mejia <mandy.mejia@gmail.com>
Description: Supports fMRI (functional magnetic resonance imaging) analysis tasks including reading in 'CIFTI', 'GIFTI' and 'NIFTI' data, temporal filtering, nuisance regression, and aCompCor (anatomical Components Correction) (Muschelli et al. (2014) <doi:10.1016/j.neuroimage.2014.03.028>).
Depends: R (>= 3.5.0)
License: GPL-3
Encoding: UTF-8
Imports: stats, pesel, robustbase
Suggests: ciftiTools, gifti, knitr, rmarkdown, RNifti, oro.nifti, gsignal, fastICA, testthat (>= 3.0.0), covr
URL: https://github.com/mandymejia/fMRItools
BugReports: https://github.com/mandymejia/fMRItools/issues
NeedsCompilation: no
Packaged: 2022-11-09 02:38:12 UTC; ddpham
Author: Amanda Mejia [aut, cre], Damon Pham [aut]
Repository: CRAN
Date/Publication: 2022-11-10 18:50:02 UTC

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New package BSSoverSpace with initial version 0.1.0
Package: BSSoverSpace
Title: Blind Source Separation for Multivariate Spatial Data using Eigen Analysis
Version: 0.1.0
Maintainer: Sixing Hao <s.hao3@lse.ac.uk>
Description: Provides functions for blind source separation over multivariate spatial data, and useful statistics for evaluating performance of estimation on mixing matrix. 'BSSoverSpace' is based on an eigen analysis of a positive definite matrix defined in terms of multiple normalized spatial local covariance matrices, and thus can handle moderately high-dimensional random fields. This package is an implementation of the method described in Zhang, Hao and Yao (2022)<arXiv:2201.02023>.
License: GPL-3
Encoding: UTF-8
Imports: SpatialBSS, expm, rSPDE
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-11-09 15:54:39 UTC; haosi
Author: Sixing Hao [aut, cre]
Repository: CRAN
Date/Publication: 2022-11-10 18:50:05 UTC

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New package appleadsR with initial version 0.1.0
Package: appleadsR
Title: Get Apple Search Ads Data via the 'Windsor.ai' API
Version: 0.1.0
Description: Collect your data on digital marketing campaigns from Apple Search Ads using the 'Windsor.ai' API <https://windsor.ai/api-fields/>.
License: GPL-3
URL: https://windsor.ai/
Depends: R (>= 3.5.0)
Imports: jsonlite (>= 1.7.2)
Suggests: knitr, rmarkdown, dplyr, ggplot2, tidyr, curl
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2022-11-09 17:44:49 UTC; pablo
Author: Pablo Sanchez [cre, aut], Windsor.ai [cph]
Maintainer: Pablo Sanchez <pablosama@outlook.es>
Repository: CRAN
Date/Publication: 2022-11-10 19:00:05 UTC

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Package ubms updated to version 1.2.2 with previous version 1.1.0 dated 2021-11-30

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>

Diff between ubms versions 1.1.0 dated 2021-11-30 and 1.2.2 dated 2022-11-10

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Package CSTools updated to version 4.1.1 with previous version 4.1.0 dated 2022-10-26

Title: Assessing Skill of Climate Forecasts on Seasonal-to-Decadal Timescales
Description: Exploits dynamical seasonal forecasts in order to provide information relevant to stakeholders at the seasonal timescale. The package contains process-based methods for forecast calibration, bias correction, statistical and stochastic downscaling, optimal forecast combination and multivariate verification, as well as basic and advanced tools to obtain tailored products. This package was developed in the context of the ERA4CS project MEDSCOPE and the H2020 S2S4E project. Pérez-Zanón et al. (2022) <doi:10.5194/gmd-15-6115-2022>. Doblas-Reyes et al. (2005) <doi:10.1111/j.1600-0870.2005.00104.x>. Mishra et al. (2018) <doi:10.1007/s00382-018-4404-z>. Sanchez-Garcia et al. (2019) <doi:10.5194/asr-16-165-2019>. Straus et al. (2007) <doi:10.1175/JCLI4070.1>. Terzago et al. (2018) <doi:10.5194/nhess-18-2825-2018>. Torralba et al. (2017) <doi:10.1175/JAMC-D-16-0204.1>. D'Onofrio et al. (2014) <doi:10.1175/JHM-D-13-096.1>. Verfaillie et al. (2017) & [...truncated...]
Author: Nuria Perez-Zanon [aut] , Louis-Philippe Caron [aut] , Carmen Alvarez-Castro [aut] , Lauriane Batte [aut], Carlos Delgado [aut], Jost von Hardenberg [aut] , Llorenc LLedo [aut], Nicolau Manubens [aut], Lluis Palma [aut], Eroteida Sanchez-Garcia [aut] [...truncated...]
Maintainer: Eva Rifa <eva.rifarovira@bsc.es>

Diff between CSTools versions 4.1.0 dated 2022-10-26 and 4.1.1 dated 2022-11-10

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Package zbank (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:

2018-10-30 0.1.0

Permanent link
Package spatstat.explore updated to version 3.0-5 with previous version 3.0-3 dated 2022-11-04

Title: Exploratory Data Analysis for the 'spatstat' Family
Description: Functionality for exploratory data analysis and nonparametric analysis of spatial data, mainly spatial point patterns, in the 'spatstat' family of packages. (Excludes analysis of spatial data on a linear network, which is covered by the separate package 'spatstat.linnet'.) Methods include quadrat counts, K-functions and their simulation envelopes, nearest neighbour distance and empty space statistics, Fry plots, pair correlation function, kernel smoothed intensity, relative risk estimation with cross-validated bandwidth selection, mark correlation functions, segregation indices, mark dependence diagnostics, and kernel estimates of covariate effects. Formal hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov, Monte Carlo, Diggle-Cressie-Loosmore-Ford, Dao-Genton, two-stage Monte Carlo) and tests for covariate effects (Cox-Berman-Waller-Lawson, Kolmogorov-Smirnov, ANOVA) are also supported.
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Kasper Klitgaard Berthelsen [ctb], Warick Brown [cph], Achmad Choiruddin [ctb], Jean-Francois Coeurjolly [ctb], Ottmar Cronie [ctb], Tilman Davies [ctb, cph], Julian Gi [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package oai updated to version 0.4.0 with previous version 0.3.2 dated 2021-05-13

Title: General Purpose 'Oai-PMH' Services Client
Description: A general purpose client to work with any 'OAI-PMH' (Open Archives Initiative Protocol for 'Metadata' Harvesting) service. The 'OAI-PMH' protocol is described at <http://www.openarchives.org/OAI/openarchivesprotocol.html>. Functions are provided to work with the 'OAI-PMH' verbs: 'GetRecord', 'Identify', 'ListIdentifiers', 'ListMetadataFormats', 'ListRecords', and 'ListSets'.
Author: Scott Chamberlain [aut], Michal Bojanowski [aut, cre] , National Science Centre [fnd]
Maintainer: Michal Bojanowski <michal2992@gmail.com>

Diff between oai versions 0.3.2 dated 2021-05-13 and 0.4.0 dated 2022-11-10

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Package nlmixr2est updated to version 2.1.3 with previous version 2.1.2 dated 2022-11-02

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 <matthew.fidler@gmail.com>

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Package healthyR.ts updated to version 0.2.4 with previous version 0.2.3 dated 2022-10-03

Title: The Time Series Modeling Companion to 'healthyR'
Description: Hospital time series data analysis workflow tools, modeling, and automations. This library provides many useful tools to review common administrative time series hospital data. Some of these include average length of stay, and readmission rates. The aim is to provide a simple and consistent verb framework that takes the guesswork out of everything.
Author: Steven Sanderson [aut, cre], Steven Sanderson [cph]
Maintainer: Steven Sanderson <spsanderson@gmail.com>

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Package glpkAPI updated to version 1.3.4 with previous version 1.3.3 dated 2021-10-28

Title: R Interface to C API of GLPK
Description: R Interface to C API of GLPK, depends on GLPK Version >= 4.42.
Author: Mihail Anton [cre], Mayo Roettger [ctb], Gabriel Gelius-Dietrich [aut], Louis Luangkesorn [ctb]
Maintainer: Mihail Anton <mihail.anton@chalmers.se>

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Package eatTools updated to version 0.7.4 with previous version 0.7.3 dated 2022-06-28

Title: Miscellaneous Functions for the Analysis of Educational Assessments
Description: Miscellaneous functions for data cleaning and data analysis of educational assessments. Includes functions for descriptive analyses, character vector manipulations and weighted statistics. Mainly a lightweight dependency for the packages 'eatRep', 'eatGADS', 'eatPrep' and 'eatModel' (which will be subsequently submitted to 'CRAN'). The function for defining (weighted) contrasts in weighted effect coding refers to te Grotenhuis et al. (2017) <doi:10.1007/s00038-016-0901-1>. Functions for weighted statistics refer to Wolter (2007) <doi:10.1007/978-0-387-35099-8>.
Author: Sebastian Weirich [aut, cre], Martin Hecht [aut], Karoline Sachse [aut], Benjamin Becker [aut], Nicole Mahler [aut]
Maintainer: Sebastian Weirich <sebastian.weirich@iqb.hu-berlin.de>

Diff between eatTools versions 0.7.3 dated 2022-06-28 and 0.7.4 dated 2022-11-10

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Package udpipe updated to version 0.8.10 with previous version 0.8.9 dated 2022-03-25

Title: Tokenization, Parts of Speech Tagging, Lemmatization and Dependency Parsing with the 'UDPipe' 'NLP' Toolkit
Description: This natural language processing toolkit provides language-agnostic 'tokenization', 'parts of speech tagging', 'lemmatization' and 'dependency parsing' of raw text. Next to text parsing, the package also allows you to train annotation models based on data of 'treebanks' in 'CoNLL-U' format as provided at <https://universaldependencies.org/format.html>. The techniques are explained in detail in the paper: 'Tokenizing, POS Tagging, Lemmatizing and Parsing UD 2.0 with UDPipe', available at <doi:10.18653/v1/K17-3009>. The toolkit also contains functionalities for commonly used data manipulations on texts which are enriched with the output of the parser. Namely functionalities and algorithms for collocations, token co-occurrence, document term matrix handling, term frequency inverse document frequency calculations, information retrieval metrics (Okapi BM25), handling of multi-word expressions, keyword detection (Rapid Automatic Keyword Extraction, noun phrase extraction, syntact [...truncated...]
Author: Jan Wijffels [aut, cre, cph], BNOSAC [cph], Institute of Formal and Applied Linguistics, Faculty of Mathematics and Physics, Charles University in Prague, Czech Republic [cph], Milan Straka [ctb, cph], Jana Strakova [ctb, cph]
Maintainer: Jan Wijffels <jwijffels@bnosac.be>

Diff between udpipe versions 0.8.9 dated 2022-03-25 and 0.8.10 dated 2022-11-10

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Package rxode2parse updated to version 2.0.13 with previous version 2.0.12 dated 2022-10-29

Title: Parsing and Code Generation Functions for 'rxode2'
Description: Provides the parsing needed for 'rxode2' (Wang, Hallow and James (2016) <doi:10.1002/psp4.12052>). It also provides the 'stan' based advan linear compartment model solutions with gradients (Carpenter et al (2015), <arXiv:1509.07164>) needed in 'nlmixr2' (Fidler et al (2019) <doi:10.1002/psp4.12445>). This split will reduce computational burden of recompiling 'rxode2'.
Author: Matthew L. Fidler [aut, cre] , Wenping Wang [aut], Richard Upton [ctb]
Maintainer: Matthew L. Fidler <matthew.fidler@gmail.com>

Diff between rxode2parse versions 2.0.12 dated 2022-10-29 and 2.0.13 dated 2022-11-10

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Package spatstat updated to version 3.0-2 with previous version 2.3-4 dated 2022-04-01

Title: Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests
Description: Comprehensive open-source toolbox for analysing Spatial Point Patterns. Focused mainly on two-dimensional point patterns, including multitype/marked points, in any spatial region. Also supports three-dimensional point patterns, space-time point patterns in any number of dimensions, point patterns on a linear network, and patterns of other geometrical objects. Supports spatial covariate data such as pixel images. Contains over 2000 functions for plotting spatial data, exploratory data analysis, model-fitting, simulation, spatial sampling, model diagnostics, and formal inference. Data types include point patterns, line segment patterns, spatial windows, pixel images, tessellations, and linear networks. Exploratory methods include quadrat counts, K-functions and their simulation envelopes, nearest neighbour distance and empty space statistics, Fry plots, pair correlation function, kernel smoothed intensity, relative risk estimation with cross-validated bandwidth selection, mark correlatio [...truncated...]
Author: Adrian Baddeley [aut, cre] , Rolf Turner [aut] , Ege Rubak [aut]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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New package nse with initial version 1.21
Package: nse
Version: 1.21
Date: 2022-11-08
Title: Numerical Standard Errors Computation in R
Author: David Ardia [aut] , Keven Bluteau [aut, cre]
Maintainer: Keven Bluteau <keven.bluteau@usherbrooke.ca>
Description: Collection of functions designed to calculate numerical standard error (NSE) of univariate time series as described in Ardia et al. (2018) <doi:10.1515/jtse-2017-0011> and Ardia and Bluteau (2017) <doi:10.21105/joss.00172>.
License: GPL (>= 2)
BugReports: https://github.com/keblu/nse/issues
URL: https://github.com/keblu/nse
Imports: Rcpp (>= 0.12.0), coda, mcmc, mcmcse, np, sandwich
LinkingTo: Rcpp
Encoding: UTF-8
NeedsCompilation: yes
Suggests: testthat
Packaged: 2022-11-09 17:52:09 UTC; bluk2201
Repository: CRAN
Date/Publication: 2022-11-10 13:20:02 UTC

More information about nse at CRAN
Permanent link

Package NPCirc updated to version 3.1.1 with previous version 3.0.1 dated 2021-07-22

Title: Nonparametric Circular Methods
Description: Nonparametric smoothing methods for density and regression estimation involving circular data, including the estimation of the mean regression function and other conditional characteristics.
Author: Maria Alonso-Pena [aut, cre], Maria Oliveira [aut], Jose Ameijeiras-Alonso [aut], Rosa M. Crujeiras [aut], Irene Gijbels [aut], Alberto Rodriguez-Casal [aut], Felicita Scapini [dtc]
Maintainer: Maria Alonso-Pena <maria.alonsopena@kuleuven.be>

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Package lingtypology updated to version 1.1.10 with previous version 1.1.9 dated 2022-06-24

Title: Linguistic Typology and Mapping
Description: Provides R with the Glottolog database <https://glottolog.org/> and some more abilities for purposes of linguistic mapping. The Glottolog database contains the catalogue of languages of the world. This package helps researchers to make a linguistic maps, using philosophy of the Cross-Linguistic Linked Data project <https://clld.org/>, which allows for while at the same time facilitating uniform access to the data across publications. A tutorial for this package is available on GitHub pages <https://docs.ropensci.org/lingtypology/> and package vignette. Maps created by this package can be used both for the investigation and linguistic teaching. In addition, package provides an ability to download data from typological databases such as WALS, AUTOTYP and some others and to create your own database website.
Author: George Moroz [aut, cre] , Kirill Koncha [ctb] , Mikhail Leonov [ctb], Anna Smirnova [ctb], Ekaterina Zalivina [ctb]
Maintainer: George Moroz <agricolamz@gmail.com>

Diff between lingtypology versions 1.1.9 dated 2022-06-24 and 1.1.10 dated 2022-11-10

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Package dparser updated to version 1.3.1-9 with previous version 1.3.1-8 dated 2022-10-29

Title: Port of 'Dparser' Package
Description: A Scannerless GLR parser/parser generator. Note that GLR standing for "generalized LR", where L stands for "left-to-right" and R stands for "rightmost (derivation)". For more information see <https://en.wikipedia.org/wiki/GLR_parser>. This parser is based on the Tomita (1987) algorithm. (Paper can be found at <https://aclanthology.org/P84-1073.pdf>). The original 'dparser' package documentation can be found at <https://dparser.sourceforge.net/>. This allows you to add mini-languages to R (like RxODE's ODE mini-language Wang, Hallow, and James 2015 <DOI:10.1002/psp4.12052>) or to parse other languages like 'NONMEM' to automatically translate them to R code. To use this in your code, add a LinkingTo dparser in your DESCRIPTION file and instead of using #include <dparse.h> use #include <dparser.h>. This also provides a R-based port of the make_dparser <https://dparser.sourceforge.net/d/make_dparser.cat> command called mkdparser(). Additiona [...truncated...]
Author: Matthew Fidler [aut, cre], John Plevyak [aut, cph]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

Diff between dparser versions 1.3.1-8 dated 2022-10-29 and 1.3.1-9 dated 2022-11-10

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Package complexNet updated to version 0.2.0 with previous version 0.1.0 dated 2021-03-31

Title: Complex Network Generation
Description: Providing a set of functions to easily generate and iterate complex networks. The functions can be used to generate realistic networks with a wide range of different clustering, density, and average path length. For more information consult research articles by Amiyaal Ilany and Erol Akcay (2016) <doi:10.1093/icb/icw068> and Ilany and Erol Akcay (2016) <doi:10.1101/026120>, which have inspired many methods in this package.
Author: Marco Smolla [aut, cre]
Maintainer: Marco Smolla <drsmolla@icloud.com>

Diff between complexNet versions 0.1.0 dated 2021-03-31 and 0.2.0 dated 2022-11-10

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Package CCAMLRGIS updated to version 4.0.2 with previous version 4.0.1 dated 2022-08-22

Title: Antarctic Spatial Data Manipulation
Description: Loads and creates spatial data, including layers and tools that are relevant to the activities of the Commission for the Conservation of Antarctic Marine Living Resources. Provides two categories of functions: load functions and create functions. Load functions are used to import existing spatial layers from the online CCAMLR GIS such as the ASD boundaries. Create functions are used to create layers from user data such as polygons and grids.
Author: Stephane Thanassekos [aut, cre], Keith Reid [aut], Lucy Robinson [aut], Michael D. Sumner [ctb], Roger Bivand [ctb]
Maintainer: Stephane Thanassekos <stephane.thanassekos@ccamlr.org>

Diff between CCAMLRGIS versions 4.0.1 dated 2022-08-22 and 4.0.2 dated 2022-11-10

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Package grates updated to version 0.3.1 with previous version 0.3.0 dated 2021-10-21

Title: Grouped Date Classes
Description: Provides a coherent interface and implementation for creating grouped date classes. This package is part of the RECON (<https://www.repidemicsconsortium.org/>) toolkit for outbreak analysis.
Author: Tim Taylor [aut, cre]
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>

Diff between grates versions 0.3.0 dated 2021-10-21 and 0.3.1 dated 2022-11-10

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Package PPRL updated to version 0.3.8 with previous version 0.3.7 dated 2022-09-05

Title: Privacy Preserving Record Linkage
Description: A toolbox for deterministic, probabilistic and privacy-preserving record linkage techniques. Combines the functionality of the 'Merge ToolBox' (<https://www.record-linkage.de>) with current privacy-preserving techniques.
Author: Rainer Schnell [aut, cph], Dorothea Rukasz [aut, cre], Christian Borgs [ctb], Stefan Brumme [ctb] , William B. Brogden [ctb] , Tim O'Brien [ctb] , Stephen Lacy [ctb] , Apache Software Foundation [cph]
Maintainer: Dorothea Rukasz <mitarbeiter.schnell@uni-due.de>

Diff between PPRL versions 0.3.7 dated 2022-09-05 and 0.3.8 dated 2022-11-10

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Package MALDIquant updated to version 1.22 with previous version 1.21 dated 2021-12-23

Title: Quantitative Analysis of Mass Spectrometry Data
Description: A complete analysis pipeline for matrix-assisted laser desorption/ionization-time-of-flight (MALDI-TOF) and other two-dimensional mass spectrometry data. In addition to commonly used plotting and processing methods it includes distinctive features, namely baseline subtraction methods such as morphological filters (TopHat) or the statistics-sensitive non-linear iterative peak-clipping algorithm (SNIP), peak alignment using warping functions, handling of replicated measurements as well as allowing spectra with different resolutions.
Author: Sebastian Gibb [aut, cre] , Korbinian Strimmer [ths] , Sigurdur Smarason [ctb], Laurent Gatto [ctb] , Paolo Inglese [ctb]
Maintainer: Sebastian Gibb <mail@sebastiangibb.de>

Diff between MALDIquant versions 1.21 dated 2021-12-23 and 1.22 dated 2022-11-10

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Package gRbase updated to version 1.8.9 with previous version 1.8.8 dated 2022-10-18

Title: A Package for Graphical Modelling in R
Description: The 'gRbase' package provides graphical modelling features used by e.g. the packages 'gRain', 'gRim' and 'gRc'. 'gRbase' implements graph algorithms including (i) maximum cardinality search (for marked and unmarked graphs). (ii) moralization, (iii) triangulation, (iv) creation of junction tree. 'gRbase' facilitates array operations, 'gRbase' implements functions for testing for conditional independence. 'gRbase' illustrates how hierarchical log-linear models may be implemented and describes concept of graphical meta data. The facilities of the package are documented in the book by Højsgaard, Edwards and Lauritzen (2012, <doi:10.1007/978-1-4614-2299-0>) and in the paper by Dethlefsen and Højsgaard, (2005, <doi:10.18637/jss.v014.i17>). Please see 'citation("gRbase")' for citation details. NOTICE 'gRbase' requires that the packages graph, 'Rgraphviz' and 'RBGL' are installed from 'bioconductor'. For installation instructions please refer to the web page given below.
Author: Soeren Hoejsgaard <sorenh@math.aau.dk>
Maintainer: Soeren Hoejsgaard <sorenh@math.aau.dk>

Diff between gRbase versions 1.8.8 dated 2022-10-18 and 1.8.9 dated 2022-11-10

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Package fbst updated to version 2.1 with previous version 1.9 dated 2022-09-23

Title: The Full Bayesian Evidence Test, Full Bayesian Significance Test and the e-Value
Description: Provides access to a range of functions for computing and visualizing the Full Bayesian Significance Test (FBST) and the e-value for testing a sharp hypothesis against its alternative, and the Full Bayesian Evidence Test (FBET) and the (generalized) Bayesian evidence value for testing a composite (or interval) hypothesis against its alternative. The methods are widely applicable as long as a posterior MCMC sample is available.
Author: Riko Kelter
Maintainer: Riko Kelter <riko.kelter@uni-siegen.de>

Diff between fbst versions 1.9 dated 2022-09-23 and 2.1 dated 2022-11-10

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Package castor updated to version 1.7.5 with previous version 1.7.4 dated 2022-10-22

Title: Efficient Phylogenetics on Large Trees
Description: Efficient phylogenetic analyses on massive phylogenies comprising up to millions of tips. Functions include pruning, rerooting, calculation of most-recent common ancestors, calculating distances from the tree root and calculating pairwise distances. Calculation of phylogenetic signal and mean trait depth (trait conservatism), ancestral state reconstruction and hidden character prediction of discrete characters, simulating and fitting models of trait evolution, fitting and simulating diversification models, dating trees, comparing trees, and reading/writing trees in Newick format. Citation: Louca, Stilianos and Doebeli, Michael (2017) <doi:10.1093/bioinformatics/btx701>.
Author: Stilianos Louca
Maintainer: Stilianos Louca <louca@zoology.ubc.ca>

Diff between castor versions 1.7.4 dated 2022-10-22 and 1.7.5 dated 2022-11-10

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New package RRreg with initial version 0.7.4
Package: RRreg
Title: Correlation and Regression Analyses for Randomized Response Data
Version: 0.7.4
Date: 2022-11-09
Author: Daniel W. Heck [aut, cre] , Morten Moshagen [aut]
Maintainer: Daniel W. Heck <daniel.heck@uni-marburg.de>
Depends: R (>= 3.5.0)
Imports: parallel, doParallel, foreach, stats, grDevices, graphics, lme4
Suggests: rmarkdown, knitr, R.rsp
Description: Univariate and multivariate methods to analyze randomized response (RR) survey designs (e.g., Warner, S. L. (1965). Randomized response: A survey technique for eliminating evasive answer bias. Journal of the American Statistical Association, 60, 63–69, <doi:10.2307/2283137>). Besides univariate estimates of true proportions, RR variables can be used for correlations, as dependent variable in a logistic regression (with or without random effects), or as predictors in a linear regression (Heck, D. W., & Moshagen, M. (2018). RRreg: An R package for correlation and regression analyses of randomized response data. Journal of Statistical Software, 85(2), 1–29, <doi:10.18637/jss.v085.i02>). For simulations and the estimation of statistical power, RR data can be generated according to several models. The implemented methods also allow to test the link between continuous covariates and dishonesty in cheating paradigms such as the coin-toss or dice-roll task (Moshagen, M., & [...truncated...]
License: GPL-3
Encoding: UTF-8
LazyLoad: yes
URL: https://github.com/danheck/RRreg
VignetteBuilder: knitr, R.rsp
NeedsCompilation: no
Packaged: 2022-11-09 13:58:14 UTC; daniel
Repository: CRAN
Date/Publication: 2022-11-10 10:00:05 UTC

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Package queryup updated to version 1.0.1 with previous version 1.0.0 dated 2022-09-12

Title: Query the 'UniProtKB' REST API
Description: Retrieve protein information from the 'UniProtKB' REST API (see <https://www.uniprot.org/help/api_queries>).
Author: Guillaume Voisinne [aut, cre]
Maintainer: Guillaume Voisinne <voisinne@gmail.com>

Diff between queryup versions 1.0.0 dated 2022-09-12 and 1.0.1 dated 2022-11-10

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Package ngramr updated to version 1.9.1 with previous version 1.9.0 dated 2022-10-07

Title: Retrieve and Plot Google n-Gram Data
Description: Retrieve and plot word frequencies through time from the "Google Ngram Viewer" <https://books.google.com/ngrams>.
Author: Sean Carmody [aut, cre, cph]
Maintainer: Sean Carmody <seancarmody@gmail.com>

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Package contingencytables updated to version 1.0.3 with previous version 1.0.2 dated 2022-06-07

Title: Statistical Analysis of Contingency Tables
Description: Provides functions to perform statistical inference of data organized in contingency tables. This package is a companion to the "Statistical Analysis of Contingency Tables" book by Fagerland et al. <ISBN 9781466588172>.
Author: Morten Wang Fagerland [aut], Stian Lydersen [ctb], Petter Laake [ctb], Waldir Leoncio [cre], Ole Christian Lingjærde [trl]
Maintainer: Waldir Leoncio <w.l.netto@medisin.uio.no>

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Package unikn updated to version 0.7.0 with previous version 0.6.0 dated 2022-09-20

Title: Graphical Elements of the University of Konstanz's Corporate Design
Description: Define and use graphical elements of corporate design manuals in R. The 'unikn' package provides color functions (by defining dedicated colors and color palettes, and commands for finding, changing, viewing, and using them) and styled text elements (e.g., for marking, underlining, or plotting colored titles). The pre-defined range of colors and text decoration functions is based on the corporate design of the University of Konstanz <https://www.uni-konstanz.de/>, but can be adapted and extended for other purposes or institutions.
Author: Hansjoerg Neth [aut, cre] , Nico Gradwohl [aut]
Maintainer: Hansjoerg Neth <h.neth@uni.kn>

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More information about unikn at CRAN
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