Mon, 07 Jun 2021

Package proxy updated to version 0.4-26 with previous version 0.4-25 dated 2021-03-05

Title: Distance and Similarity Measures
Description: Provides an extensible framework for the efficient calculation of auto- and cross-proximities, along with implementations of the most popular ones.
Author: David Meyer [aut, cre], Christian Buchta [aut]
Maintainer: David Meyer <David.Meyer@R-project.org>

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Package TAG updated to version 0.5.1 with previous version 0.2.1 dated 2020-08-27

Title: Transformed Additive Gaussian Processes
Description: Implement the transformed additive Gaussian (TAG) process and the transformed approximately additive Gaussian (TAAG) process proposed in Lin and Joseph (2020) <DOI:10.1080/00401706.2019.1665592>. These functions can be used to model deterministic computer experiments, obtain predictions at new inputs, and quantify the uncertainty of the predictions. This research is supported by a U.S. National Science Foundation grant DMS-1712642 and a U.S. Army Research Office grant W911NF-17-1-0007.
Author: Li-Hsiang Lin and V. Roshan Joseph
Maintainer: Li-Hsiang Lin <llin79@gatech.edu>

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Package misty updated to version 0.4.1 with previous version 0.4.0 dated 2021-05-13

Title: Miscellaneous Functions 'T. Yanagida'
Description: Miscellaneous functions for descriptive statistics (e.g., frequency table, cross tabulation, multilevel descriptive statistics, coefficient alpha and omega, and various effect size measures), missing data (e.g., descriptive statistics for missing data, missing data pattern and auxiliary variable analysis), data management (e.g., grand-mean and group-mean centering, recode variables and reverse code items, scale and group scores, reading and writing SPSS and Excel files), and statistical analysis (e.g., confidence intervals, collinearity diagnostics, Levene's test, t-test, z-test, and sample size determination).
Author: Takuya Yanagida [aut, cre]
Maintainer: Takuya Yanagida <takuya.yanagida@univie.ac.at>

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Package rfishbase updated to version 3.1.8 with previous version 3.1.7 dated 2021-04-08

Title: R Interface to 'FishBase'
Description: A programmatic interface to 'FishBase', re-written based on an accompanying 'RESTful' API. Access tables describing over 30,000 species of fish, their biology, ecology, morphology, and more. This package also supports experimental access to 'SeaLifeBase' data, which contains nearly 200,000 species records for all types of aquatic life not covered by 'FishBase.'
Author: Carl Boettiger [cre, aut] (<https://orcid.org/0000-0002-1642-628X>), Scott Chamberlain [aut] (<https://orcid.org/0000-0003-1444-9135>), Duncan Temple Lang [aut], Peter Wainwright [aut], Kevin Cazelles [ctb] (<https://orcid.org/0000-0001-6619-9874>)
Maintainer: Carl Boettiger <cboettig@gmail.com>

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Package tidywikidatar updated to version 0.3.0 with previous version 0.2.0 dated 2021-04-19

Title: Explore 'Wikidata' Through Tidy Data Frames
Description: Query 'Wikidata' API <https://wikidata.org/> with ease, get tidy data frames in response, and cache data in a local 'SQLite' database.
Author: Giorgio Comai [aut, cre, cph] (<https://orcid.org/0000-0002-0515-9542>), EDJNet [fnd]
Maintainer: Giorgio Comai <g@giorgiocomai.eu>

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New package SpaDES.tools with initial version 0.3.8
Package: SpaDES.tools
Title: Additional Tools for Developing Spatially Explicit Discrete Event Simulation (SpaDES) Models
Description: Provides GIS and map utilities, plus additional modeling tools for developing cellular automata, dynamic raster models, and agent based models in 'SpaDES'. Included are various methods for spatial spreading, spatial agents, GIS operations, random map generation, and others. See '?SpaDES.tools' for an categorized overview of these additional tools.
URL: https://spades-tools.predictiveecology.org, https://github.com/PredictiveEcology/SpaDES.tools
Date: 2021-06-01
Version: 0.3.8
Authors@R: c( person("Alex M", "Chubaty", email = "alex.chubaty@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-7146-8135")), person("Eliot J B", "McIntire", email = "eliot.mcintire@canada.ca", role = c("aut"), comment=c(ORCID = "0000-0002-6914-8316")), person("Yong", "Luo", email = "yluo1@lakeheadu.ca", role = c("ctb")), person("Steve", "Cumming", email = "Steve.Cumming@sbf.ulaval.ca", role = c("ctb")), person("Jean", "Marchal", email = "jean.d.marchal@gmail.com", role = c("ctb")), person("Her Majesty the Queen in Right of Canada, as represented by the Minister of Natural Resources Canada", role = "cph") )
Depends: R (>= 3.6.0)
Imports: backports, checkmate (>= 1.8.2), CircStats (>= 0.2-4), data.table (>= 1.10.4), fastmatch (>= 1.1-0), fpCompare (>= 0.2.1), magrittr, methods, parallel, quickPlot, raster (>= 2.5-8), Rcpp (>= 0.12.12), reproducible (>= 0.2.0), Require, rgeos, sp (>= 1.2-4), stats
Suggests: animation, bit (>= 1.1-12), DBI, DEoptim (>= 2.2-4), dplyr, dqrng, fasterize, ff (>= 2.2-13), ffbase (>= 0.12.3), gdalUtils, googledrive, knitr, mgcv, RandomFields (>= 3.1.24), RColorBrewer (>= 1.1-2), rmarkdown, sf, testthat (>= 1.0.2), covr
Encoding: UTF-8
Language: en-CA
LinkingTo: Rcpp
License: GPL-3
BugReports: https://github.com/PredictiveEcology/SpaDES.tools/issues
ByteCompile: yes
Collate: 'RcppExports.R' 'heading.R' 'SELES.R' 'distanceFromEachPoint.R' 'environment.R' 'initialize.R' 'mapReduce.R' 'mergeRaster.R' 'movement.R' 'neighbourhood.R' 'numerical-comparisons.R' 'probability.R' 'resample.R' 'rings.R' 'spades-tools-deprecated.R' 'spades-tools-package.R' 'splitRaster.R' 'spread.R' 'spread2.R' 'spread3.R' 'studyArea.R' 'zzz.R'
NeedsCompilation: yes
Packaged: 2021-06-07 14:06:07 UTC; achubaty
Author: Alex M Chubaty [aut, cre] (<https://orcid.org/0000-0001-7146-8135>), Eliot J B McIntire [aut] (<https://orcid.org/0000-0002-6914-8316>), Yong Luo [ctb], Steve Cumming [ctb], Jean Marchal [ctb], Her Majesty the Queen in Right of Canada, as represented by the Minister of Natural Resources Canada [cph]
Maintainer: Alex M Chubaty <alex.chubaty@gmail.com>
Repository: CRAN
Date/Publication: 2021-06-07 17:00:05 UTC

More information about SpaDES.tools at CRAN
Permanent link

Package rags2ridges updated to version 2.2.5 with previous version 2.2.4 dated 2020-12-08

Title: Ridge Estimation of Precision Matrices from High-Dimensional Data
Description: Proper L2-penalized maximum likelihood estimators for precision matrices and supporting functions to employ these estimators in a graphical modeling setting. For details see van Wieringen & Peeters (2016) <doi:10.1016/j.csda.2016.05.012> and associated publications.
Author: Carel F.W. Peeters [aut, cre, cph] (<https://orcid.org/0000-0001-5766-9969>), Anders Ellern Bilgrau [aut, cph] (<https://orcid.org/0000-0001-9875-2902>), Wessel N. van Wieringen [aut] (<https://orcid.org/0000-0002-5100-9123>)
Maintainer: Carel F.W. Peeters <carel.peeters@wur.nl>

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New package drugCombo with initial version 1.2.0
Package: drugCombo
Title: Drug Interaction Modeling Based on Loewe Additivity Following Harbron's Approach
Version: 1.2.0
Date: 2021-06-07
Author: Maxim Nazarov, Nele Goeyvaerts, Chris Harbron (original article and code)
Maintainer: Maxim Nazarov <maxim.nazarov@openanalytics.eu>
Description: Perform assessment of synergy/antagonism for drug combinations based on the Loewe additivity model, following Harbron's approach (Statistics in Medicine, 2010, <doi:10.1002/sim.3916>). The package allows flexible modeling of the drug interaction index and supports "2-stage" estimation in addition to "1-stage" estimation, including bootstrap-based confidence intervals. The method requires data on the monotherapy responses and the package accommodates both checkerboard and ray designs. Functions are available for graphical exploration of model goodness-of-fit and diagnostics, as well as for synergy/antagonism assessment in 2D and 3D.
License: GPL-3
Depends: R (>= 2.10)
Imports: ggplot2, minpack.lm, BIGL (>= 0.9), rgl, nlme, Deriv, methods, stats
Suggests: knitr, rmarkdown, testthat, Cairo
VignetteBuilder: knitr, rmarkdown
LazyData: true
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-06-07 12:50:32 UTC; maxim
Repository: CRAN
Date/Publication: 2021-06-07 17:00:02 UTC

More information about drugCombo at CRAN
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Package ORION updated to version 1.0.2 with previous version 1.0.1 dated 2020-05-15

Title: Ordinal Relations
Description: Functions to handle ordinal relations reflected within the feature space. Those function allow to search for ordinal relations in multi-class datasets. One can check whether proposed relations are reflected in a specific feature representation. Furthermore, it provides functions to filter, organize and further analyze those ordinal relations.
Author: L Lausser, LM Schaefer, HA Kestler
Maintainer: HA Kestler <hans.kestler@uni-ulm.de>

Diff between ORION versions 1.0.1 dated 2020-05-15 and 1.0.2 dated 2021-06-07

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Package EpiStats updated to version 1.5-1 with previous version 1.4-1 dated 2020-04-15

Title: Tools for Epidemiologists
Description: Provides set of functions aimed at epidemiologists. They include commands for measures of association and impact for case control studies and cohort studies. They may be particularly useful for outbreak investigations and include univariate and stratified analyses. The functions for cohort studies include the CS(), CSTable() and CSInter() commands. The functions for case control studies include the CC(), CCTable() and CCInter() commands.
Author: Jean Pierre Decorps [aut, cre]
Maintainer: Jean Pierre Decorps <jean.pierre.decorps@gmail.com>

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Package ctgt updated to version 2.0 with previous version 1.0 dated 2020-03-08

Title: Closed Testing with Globaltest for Pathway Analysis
Description: A shortcut procedure is proposed to implement closed testing for large-scale multiple testings, especially with the global test. This shortcut is asymptotically equivalent to closed testing and post hoc. Users could detect any possible sets of features or pathways with family-wise error rate controlled. The global test is powerful to detect associations between a group of features and an outcome of interest.
Author: Ningning Xu
Maintainer: Ningning Xu <n.xu@lumc.nl>

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Package airGRteaching updated to version 0.2.11 with previous version 0.2.10.112 dated 2021-02-01

Title: Teaching Hydrological Modelling with the GR Rainfall-Runoff Models ('Shiny' Interface Included)
Description: Add-on package to the 'airGR' package that simplifies its use and is aimed at being used for teaching hydrology. The package provides 1) three functions that allow to complete very simply a hydrological modelling exercise 2) plotting functions to help students to explore observed data and to interpret the results of calibration and simulation of the GR ('Génie rural') models 3) a 'Shiny' graphical interface that allows for displaying the impact of model parameters on hydrographs and models internal variables.
Author: Olivier Delaigue [aut, cre] (<https://orcid.org/0000-0002-7668-8468>), Laurent Coron [aut] (<https://orcid.org/0000-0002-1503-6204>), Pierre Brigode [aut] (<https://orcid.org/0000-0001-8257-0741>), Guillaume Thirel [ctb] (<https://orcid.org/0000-0002-1444-1830>)
Maintainer: Olivier Delaigue <airGR@inrae.fr>

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Package twang updated to version 2.2 with previous version 2.1 dated 2021-05-25

Title: Toolkit for Weighting and Analysis of Nonequivalent Groups
Description: Provides functions for propensity score estimating and weighting, nonresponse weighting, and diagnosis of the weights.
Author: Matthew Cefalu <Matthew_Cefalu@rand.org>, Greg Ridgeway, Dan McCaffrey, Andrew Morral, Beth Ann Griffin, and Lane Burgette
Maintainer: Matthew Cefalu <Matthew_Cefalu@rand.org>

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Package GOxploreR updated to version 1.2.1 with previous version 1.2.0 dated 2021-05-17

Title: Structural Exploration of the Gene Ontology (GO) Knowledge Base
Description: It provides an effective, efficient, and fast way to explore the Gene Ontology (GO). Given a set of genes, the package contains functions to assess the GO and obtain the terms associated with the genes and the levels of the GO terms. The package provides functions for the three different GO ontology. We discussed the methods explicitly in the following article <doi:10.1038/s41598-020-73326-3>.
Author: Kalifa Manjang, Frank Emmert-Streib, Shailesh Tripathi, Olli Yli-Harja, Matthias Dehmer
Maintainer: Kalifa Manjang <kalifamanjang1@gmail.com>

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Package cvms updated to version 1.3.0 with previous version 1.2.1 dated 2021-02-17

Title: Cross-Validation for Model Selection
Description: Cross-validate one or multiple regression and classification models and get relevant evaluation metrics in a tidy format. Validate the best model on a test set and compare it to a baseline evaluation. Alternatively, evaluate predictions from an external model. Currently supports regression and classification (binary and multiclass). Described in chp. 5 of Jeyaraman, B. P., Olsen, L. R., & Wambugu M. (2019, ISBN: 9781838550134).
Author: Ludvig Renbo Olsen [aut, cre], Hugh Benjamin Zachariae [aut], Indrajeet Patil [ctb] (<https://orcid.org/0000-0003-1995-6531>, @patilindrajeets)
Maintainer: Ludvig Renbo Olsen <r-pkgs@ludvigolsen.dk>

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Package geofi updated to version 1.0.2 with previous version 1.0.1 dated 2021-03-29

Title: Access Finnish Geospatial Data
Description: Tools for reading Finnish open geospatial data in R.
Author: Markus Kainu [aut, cre] (<https://orcid.org/0000-0003-1376-503X>), Joona Lehtomaki [aut] (<https://orcid.org/0000-0002-7891-0843>), Juuso Parkkinen [ctb] (<https://orcid.org/0000-0002-7818-5901>), Jani Miettinen [ctb], Pyry Kantanen [ctb], Leo Lahti [aut] (<https://orcid.org/0000-0001-5537-637X>)
Maintainer: Markus Kainu <markus.kainu@kapsi.fi>

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Package hypr updated to version 0.2.1 with previous version 0.2.0 dated 2021-05-21

Title: Hypothesis Matrix Translation
Description: Translation between experimental null hypotheses, hypothesis matrices, and contrast matrices as used in linear regression models. The package is based on the method described in Schad, Vasishth, Hohenstein, and Kliegl (2019) <doi:10.1016/j.jml.2019.104038> and Rabe, Vasishth, Hohenstein, Kliegl, and Schad (2020) <doi:10.21105/joss.02134>.
Author: Maximilian M. Rabe [aut, cre] (<https://orcid.org/0000-0002-2556-5644>), Shravan Vasishth [aut] (<https://orcid.org/0000-0003-2027-1994>), Sven Hohenstein [aut] (<https://orcid.org/0000-0002-9708-1593>), Reinhold Kliegl [aut] (<https://orcid.org/0000-0002-0180-8488>), Daniel J. Schad [aut] (<https://orcid.org/0000-0003-2586-6823>)
Maintainer: Maximilian M. Rabe <maximilian.rabe@uni-potsdam.de>

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Package csppData updated to version 0.1.3 with previous version 0.1.2 dated 2021-03-28

Title: Data Only: The Correlates of State Policy Project Dataset
Description: Contains the Correlates of State Policy Project dataset (+ codebook) assembled by Marty P. Jordan and Matt Grossmann (2020) <http://ippsr.msu.edu/public-policy/correlates-state-policy> used by the 'cspp' package. The Correlates data contains over 2000 variables across more than 100 years that pertain to state politics and policy in the United States.
Author: Caleb Lucas (https://caleblucas.com/) and Joshua McCrain (http://joshuamccrain.com/)
Maintainer: Caleb Lucas <calebjlucas@gmail.com>

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Package memoiR updated to version 1.0-0 with previous version 0.5-0 dated 2021-05-11

Title: R Markdown and Bookdown Templates to Publish Documents
Description: Producing high-quality documents suitable for publication directly from R is made possible by the R Markdown ecosystem. 'memoiR' makes it easy. It provides templates to knit memoirs, articles and slideshows with helpers to publish the documents on GitHub Pages and activate continuous integration.
Author: Eric Marcon [aut, cre] (<https://orcid.org/0000-0002-5249-321X>)
Maintainer: Eric Marcon <eric.marcon@agroparistech.fr>

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Package deepdep updated to version 0.2.5.3 with previous version 0.2.5.2 dated 2021-05-21

Title: Visualise and Explore the Deep Dependencies of R Packages
Description: Provides tools for exploration of R package dependencies. The main deepdep() function allows to acquire deep dependencies of any package and plot them in an elegant way. It also adds some popularity measures for the packages e.g. in the form of download count through the 'cranlogs' package. Uses the CRAN metadata database <http://crandb.r-pkg.org> and Bioconductor metadata <http://bioconductor.org>. Other data acquire functions are: get_dependencies(), get_downloads() and get_description(). The deepdep_shiny() function runs shiny application that helps to produce a nice 'deepdep' plot.
Author: Dominik Rafacz [aut, cre] (<https://orcid.org/0000-0003-0925-1909>), Hubert Baniecki [aut], Szymon Maksymiuk [aut], Mateusz Bakala [aut]
Maintainer: Dominik Rafacz <dominikrafacz@gmail.com>

Diff between deepdep versions 0.2.5.2 dated 2021-05-21 and 0.2.5.3 dated 2021-06-07

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Package mvtnorm updated to version 1.1-2 with previous version 1.1-1 dated 2020-06-09

Title: Multivariate Normal and t Distributions
Description: Computes multivariate normal and t probabilities, quantiles, random deviates and densities.
Author: Alan Genz [aut], Frank Bretz [aut], Tetsuhisa Miwa [aut], Xuefei Mi [aut], Friedrich Leisch [ctb], Fabian Scheipl [ctb], Bjoern Bornkamp [ctb] (<https://orcid.org/0000-0002-6294-8185>), Martin Maechler [ctb] (<https://orcid.org/0000-0002-8685-9910>), Torsten Hothorn [aut, cre] (<https://orcid.org/0000-0001-8301-0471>)
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between mvtnorm versions 1.1-1 dated 2020-06-09 and 1.1-2 dated 2021-06-07

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Package KFAS updated to version 1.4.6 with previous version 1.4.5 dated 2021-05-10

Title: Kalman Filter and Smoother for Exponential Family State Space Models
Description: State space modelling is an efficient and flexible framework for statistical inference of a broad class of time series and other data. KFAS includes computationally efficient functions for Kalman filtering, smoothing, forecasting, and simulation of multivariate exponential family state space models, with observations from Gaussian, Poisson, binomial, negative binomial, and gamma distributions. See the paper by Helske (2017) <doi:10.18637/jss.v078.i10> for details.
Author: Jouni Helske [aut, cre] (<https://orcid.org/0000-0001-7130-793X>)
Maintainer: Jouni Helske <jouni.helske@iki.fi>

Diff between KFAS versions 1.4.5 dated 2021-05-10 and 1.4.6 dated 2021-06-07

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Package DockerParallel updated to version 1.0.3 with previous version 1.0.0 dated 2021-05-04

Title: Using the Docker Container to Create R Workers on Local or Cloud Platform
Description: This is the core package that provides both the user API and developer API to deploy the parallel cluster on the cloud using the container service. The user can call clusterPreset() to define the cloud service provider and container and makeDockerCluster() to create the cluster. The developer should see "developer's cookbook" on how to define the cloud provider and container.
Author: Jiefei Wang [aut, cre]
Maintainer: Jiefei Wang <szwjf08@gmail.com>

Diff between DockerParallel versions 1.0.0 dated 2021-05-04 and 1.0.3 dated 2021-06-07

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New package qra with initial version 0.1.8
Package: qra
Title: Quantal Response Analysis for Dose-Mortality Data
Date: 2021-06-07
Version: 0.1.8
Author: John Maindonald
Maintainer: John Maindonald <john@statsresearch.co.nz>
Description: Functions are provided that implement the use of the Fieller's formula methodology, for calculating a confidence interval for a ratio of (possibly, correlated) means. See Fieller (1954) <doi:10.1111/j.2517-6161.1954.tb00159.x>. Here, the application of primary interest is to studies of insect mortality response to increasing doses of a fumigant, or, e.g., to time in coolstorage. The formula is used to calculate a confidence interval for the dose or time required to achieve a specified mortality proportion, commonly 0.5 or 0.99. A vignette demonstrates link functions that may be considered, and alternative choices of error family. Note in particular the beta-binomial error family. See also Maindonald, Waddell, and Petry (2001) <doi:10.1016/S0925-5214(01)00082-5>.
Encoding: UTF-8
License: GPL-3
Depends: R (>= 3.5.0), lattice
Imports: ggplot2, lme4, splines
Suggests: knitr, rmarkdown, plyr, robustlmm, MASS, fitODBOD, glmmTMB, VGAM, bbmle, epiphy, latticeExtra, xtable, testDriveR, gamlss, bookdown, prettydoc, DHARMa, kableExtra, magrittr, afex, plotrix, dfoptim, optimx
VignetteBuilder: knitr,rmarkdown
LazyData: TRUE
NeedsCompilation: no
Packaged: 2021-06-07 03:46:01 UTC; johnm1
Repository: CRAN
Date/Publication: 2021-06-07 10:00:02 UTC

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New package GaSP with initial version 1.0.0
Package: GaSP
Title: Train and Apply a Gaussian Stochastic Process Model
Version: 1.0.0
Authors@R: c( person(given = "William J.", family = "Welch", role = c("aut", "cre", "cph"), email = "will@stat.ubc.ca", comment = c(ORCID = "0000-0002-4575-3124")), person(given = "Yilin", family = "Yang", role = c("aut"), email = "yangyl17@students.cs.ubc.ca", comment = c(ORCID = "0000-0003-0885-6017")) )
Description: Train a Gaussian stochastic process model of an unknown function, possibly observed with error, via maximum likelihood or MAP estimation, run model diagnostics, and make predictions, following Sacks, J., Welch, W.J., Mitchell, T.J., and Wynn, H.P. (1989) "Design and Analysis of Computer Experiments", Statistical Science, <doi:10.1214/ss/1177012413>. Perform sensitivity analysis and visualize low-order effects, following Schonlau, M. and Welch, W.J. (2006), "Screening the Input Variables to a Computer Model Via Analysis of Variance and Visualization", <doi:10.1007/0-387-28014-6_14>.
Depends: R (>= 3.5.0)
Suggests: testthat
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2021-06-06 23:26:58 UTC; will
Author: William J. Welch [aut, cre, cph] (<https://orcid.org/0000-0002-4575-3124>), Yilin Yang [aut] (<https://orcid.org/0000-0003-0885-6017>)
Maintainer: William J. Welch <will@stat.ubc.ca>
Repository: CRAN
Date/Publication: 2021-06-07 09:40:04 UTC

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New package fitbitr with initial version 0.1.0
Package: fitbitr
Title: Interface with the 'Fitbit' API
Version: 0.1.0
Authors@R: person(given = "Matt", family = "Kaye", role = c("aut", "cre"), email = "mrkaye97@gmail.com")
Description: Many 'Fitbit' users, and R-friendly 'Fitbit' users especially, have found themselves curious about their 'Fitbit' data. 'Fitbit' aggregates a large amount of personal data, much of which is interesting for personal research and to satisfy curiosity, and is even potentially useful in medical settings. The goal of 'fitbitr' is to make interfacing with the 'Fitbit' API as streamlined as possible, to make it simple for R users of all backgrounds and comfort levels to analyze their 'Fitbit' data and do whatever they want with it! Currently, 'fitbitr' includes methods for pulling data on activity, sleep, and heart rate, but this list is likely to grow in the future as the package gains more traction and more requests for new methods to be implemented come in. You can find details on the 'Fitbit' API at <https://dev.fitbit.com/build/reference/web-api/>.
License: GPL (>= 3)
URL: https://github.com/mrkaye97/fitbitr, https://mrkaye97.github.io/fitbitr/
BugReports: https://github.com/mrkaye97/fitbitr/issues
Imports: dplyr, httr, janitor, jsonlite, lubridate, magrittr, purrr, rlang, tibble (>= 2.0.0), tidyr
Suggests: covr, checkmate (>= 2.0.0), spelling, testthat (>= 3.0.0)
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2021-06-06 21:34:28 UTC; matt
Author: Matt Kaye [aut, cre]
Maintainer: Matt Kaye <mrkaye97@gmail.com>
Repository: CRAN
Date/Publication: 2021-06-07 09:40:02 UTC

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New package spoiler with initial version 1.0.0
Package: spoiler
Title: Blur 'HTML' Elements in 'Shiny' Applications Using 'Spoiler-Alert.js'
Version: 1.0.0
Authors@R: person(given = "Etienne", family = "Bacher", role = c("aut", "cre", "cph"), email = "etienne.bacher@protonmail.com")
Description: It can be useful to temporarily hide some text or other HTML elements in 'Shiny' applications. Building on 'Spoiler-Alert.js', it is possible to select the elements to hide at startup, to partially reveal them by hovering them, and to completely show them when clicking on them.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: htmltools, shiny
URL: https://github.com/etiennebacher/spoiler
BugReports: https://github.com/etiennebacher/spoiler/issues
Suggests: spelling
Language: en-US
NeedsCompilation: no
Packaged: 2021-06-05 07:11:00 UTC; etienne
Author: Etienne Bacher [aut, cre, cph]
Maintainer: Etienne Bacher <etienne.bacher@protonmail.com>
Repository: CRAN
Date/Publication: 2021-06-07 07:40:02 UTC

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New package SEAGLE with initial version 1.0.0
Package: SEAGLE
Title: Scalable Exact Algorithm for Large-Scale Set-Based GxE Tests
Version: 1.0.0
Authors@R: c(person("Jocelyn", "Chi", email = "jocetchi@gmail.com", role = c("aut", "cre")), person("Ilse", "Ipsen", email = "ipsen@ncsu.edu", role = c("aut")), person("Jung-Ying", "Tzeng", email = "jytzeng@ncsu.edu", role = c("aut")) )
Description: The explosion of biobank data offers immediate opportunities for gene-environment (GxE) interaction studies of complex diseases because of the large sample sizes and rich collection in genetic and non-genetic information. However, the extremely large sample size also introduces new computational challenges in GxE assessment, especially for set-based GxE variance component (VC) tests, a widely used strategy to boost overall GxE signals and to evaluate the joint GxE effect of multiple variants from a biologically meaningful unit (e.g., gene). We present 'SEAGLE', a Scalable Exact AlGorithm for Large-scale Set-based GxE tests, to permit GxE VC test scalable to biobank data. 'SEAGLE' employs modern matrix computations to achieve the same “exact” results as the original GxE VC tests, and does not impose additional assumptions nor relies on approximations. 'SEAGLE' can easily accommodate sample sizes in the order of 10^5, is implementable on standard laptops, and does not require specialized equipment. The accompanying manuscript for this package can be found at Chi, Ipsen, Hsiao, Lin, Wang, Lee, Lu, and Tzeng. (2021+) <arXiv:2105.03228>.
URL: https://github.com/jocelynchi/SEAGLE
License: GPL-3
Depends: R (>= 3.5.0), Matrix, CompQuadForm
Encoding: UTF-8
LazyData: true
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-06-04 12:41:12 UTC; jocelyn
Author: Jocelyn Chi [aut, cre], Ilse Ipsen [aut], Jung-Ying Tzeng [aut]
Maintainer: Jocelyn Chi <jocetchi@gmail.com>
Repository: CRAN
Date/Publication: 2021-06-07 07:10:08 UTC

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Package rnbp updated to version 0.2.1 with previous version 0.2.0 dated 2020-06-29

Title: Wrapper for the National Bank of Poland API
Description: Use the <http://api.nbp.pl/> API through R. Retrieve currency exchange rates and gold prices data published by the National Bank of Poland in form of convenient R objects.
Author: Ryszard Szymanski [aut, cre]
Maintainer: Ryszard Szymanski <ryszard.szymanski@outlook.com>

Diff between rnbp versions 0.2.0 dated 2020-06-29 and 0.2.1 dated 2021-06-07

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New package RRMLRfMC with initial version 0.4.0
Package: RRMLRfMC
Title: Reduced-Rank Multinomial Logistic Regression for Markov Chains
Version: 0.4.0
Authors@R: c(person("Pei", "Wang", role = c("aut", "cre"), email = "wangp33@miamioh.edu"), person("Richard", "Kryscio", role = "aut") )
Description: Fit the reduced-rank multinomial logistic regression model for Markov chains developed by Wang, Abner, Fardo, Schmitt, Jicha, Eldik and Kryscio (2021)<doi:10.1002/sim.8923> in R. It combines the ideas of multinomial logistic regression in Markov chains and reduced-rank. It is very useful in a study where multi-states model is assumed and each transition among the states is controlled by a series of covariates. The key advantage is to reduce the number of parameters to be estimated. The final coefficients for all the covariates and the p-values for the interested covariates will be reported. The p-values for the whole coefficient matrix can be calculated by two bootstrap methods.
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: nnet
Depends: R (>= 3.5.0)
Suggests: rmarkdown, knitr
NeedsCompilation: no
Packaged: 2021-06-04 19:05:32 UTC; pwa24
Author: Pei Wang [aut, cre], Richard Kryscio [aut]
Maintainer: Pei Wang <wangp33@miamioh.edu>
Repository: CRAN
Date/Publication: 2021-06-07 07:20:07 UTC

More information about RRMLRfMC at CRAN
Permanent link

Package PCMBase updated to version 1.2.12 with previous version 1.2.11 dated 2019-12-12

Title: Simulation and Likelihood Calculation of Phylogenetic Comparative Models
Description: Phylogenetic comparative methods represent models of continuous trait data associated with the tips of a phylogenetic tree. Examples of such models are Gaussian continuous time branching stochastic processes such as Brownian motion (BM) and Ornstein-Uhlenbeck (OU) processes, which regard the data at the tips of the tree as an observed (final) state of a Markov process starting from an initial state at the root and evolving along the branches of the tree. The PCMBase R package provides a general framework for manipulating such models. This framework consists of an application programming interface for specifying data and model parameters, and efficient algorithms for simulating trait evolution under a model and calculating the likelihood of model parameters for an assumed model and trait data. The package implements a growing collection of models, which currently includes BM, OU, BM/OU with jumps, two-speed OU as well as mixed Gaussian models, in which different types of the above models can be associated with different branches of the tree. The PCMBase package is limited to trait-simulation and likelihood calculation of (mixed) Gaussian phylogenetic models. The PCMFit package provides functionality for inference of these models to tree and trait data. The package web-site <https://venelin.github.io/PCMBase/> provides access to the documentation and other resources.
Author: Venelin Mitov [aut, cre, cph] (<a href="https://venelin.github.io">venelin.github.io</a>), Krzysztof Bartoszek [ctb], Georgios Asimomitis [ctb], Tanja Stadler [ths]
Maintainer: Venelin Mitov <vmitov@gmail.com>

Diff between PCMBase versions 1.2.11 dated 2019-12-12 and 1.2.12 dated 2021-06-07

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 NAMESPACE                                       | 2500 +-
 NEWS.md                                         |  138 
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 man/PCMTreeToString.Rd                          |   42 
 man/PCMTreeVCV.Rd                               |   48 
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 tests/testthat/test-PCM.R                       |  532 
 tests/testthat/test-PCMLik-BM.R                 |  160 
 tests/testthat/test-PCMLik-BMdrift.R            |  282 
 tests/testthat/test-PCMLik-DOU.R                |  154 
 tests/testthat/test-PCMLik-OU.R                 |  176 
 tests/testthat/test-PCMParam.R                  |  132 
 tests/testthat/test-PCMSim.R                    |  114 
 tests/testthat/test-PCMTree.R                   |  276 
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 189 files changed, 40354 insertions(+), 38958 deletions(-)

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New package gesso with initial version 1.0.0
Package: gesso
Title: Hierarchical GxE Interactions in a Regularized Regression Model
Version: 1.0.0
Date: 2021-06-04
Author: Natalia Zemlianskaia
Maintainer: Natalia Zemlianskaia <natasha.zemlianskaia@gmail.com>
Description: The method focuses on a single environmental exposure and induces a main-effect-before-interaction hierarchical structure for the joint selection of interaction terms in a regularized regression model. For details see Zemlianskaia et al. (2021) <arxiv:2103.13510>.
License: MIT + file LICENSE
Imports: Rcpp (>= 1.0.3), Matrix, bigmemory, methods
Depends: dplyr, R (>= 3.5)
Suggests: glmnet, testthat, knitr, rmarkdown, ggplot2
LinkingTo: Rcpp, RcppEigen, RcppThread, BH, bigmemory
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2021-06-04 19:16:34 UTC; nataliazemlianskaia
Repository: CRAN
Date/Publication: 2021-06-07 07:30:05 UTC

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Package flan updated to version 0.9 with previous version 0.8 dated 2020-04-29

Title: FLuctuation ANalysis on Mutation Models
Description: Tools for fluctuations analysis of mutant cells counts. Main reference is A. Mazoyer, R. Drouilhet, S. Despreaux and B. Ycart (2017) <doi:10.32614/RJ-2017-029>.
Author: Adrien Mazoyer [aut, cre], Remy Drouilhet [aut], Stephane Despreaux [aut], Bernard Ycart [aut]
Maintainer: Adrien Mazoyer <adrien.mazoyer@math.univ-toulouse.fr>

Diff between flan versions 0.8 dated 2020-04-29 and 0.9 dated 2021-06-07

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New package ez.combat with initial version 1.0.0
Package: ez.combat
Title: Easy ComBat Harmonization
Version: 1.0.0
Author: Timothy R. Koscik [aut, cre, cph]
Maintainer: Timothy Koscik <timothy-koscik@uiowa.edu>
Depends: R (>= 3.5.0)
Imports: stats
Description: A dataframe-friendly implementation of ComBat Harmonization which uses an empirical Bayesian framework to remove batch effects. Johnson WE & Li C (2007) <doi:10.1093/biostatistics/kxj037> "Adjusting batch effects in microarray expression data using empirical Bayes methods." Fortin J-P, Cullen N, Sheline YI, Taylor WD, Aselcioglu I, Cook PA, Adams P, Cooper C, Fava M, McGrath PJ, McInnes M, Phillips ML, Trivedi MH, Weissman MM, & Shinohara RT (2017) <doi:10.1016/j.neuroimage.2017.11.024> "Harmonization of cortical thickness measurements across scanners and sites." Fortin J-P, Parker D, Tun<e7> B, Watanabe T, Elliott MA, Ruparel K, Roalf DR, Satterthwaite TD, Gur RC, Gur RE, Schultz RT, Verma R, & Shinohara RT (2017) <doi:10.1016/j.neuroimage.2017.08.047> "Harmonization of multi-site diffusion tensor imaging data."
License: Artistic-2.0
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-06-04 15:15:32 UTC; Tim
Repository: CRAN
Date/Publication: 2021-06-07 07:10:02 UTC

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Package devtools updated to version 2.4.2 with previous version 2.4.1 dated 2021-05-05

Title: Tools to Make Developing R Packages Easier
Description: Collection of package development tools.
Author: Hadley Wickham [aut], Jim Hester [aut, cre], Winston Chang [aut], RStudio [cph, fnd]
Maintainer: Jim Hester <jim.hester@rstudio.com>

Diff between devtools versions 2.4.1 dated 2021-05-05 and 2.4.2 dated 2021-06-07

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 tests/testthat/test-check-doc.R |only
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Package corrplot updated to version 0.89 with previous version 0.88 dated 2021-05-11

Title: Visualization of a Correlation Matrix
Description: A graphical display of a correlation matrix or general matrix. It also contains some algorithms to do matrix reordering. In addition, corrplot is good at details, including choosing color, text labels, color labels, layout, etc.
Author: Taiyun Wei [cre, aut], Viliam Simko [aut], Michael Levy [ctb], Yihui Xie [ctb], Yan Jin [ctb], Jeff Zemla [ctb], Moritz Freidank [ctb], Jun Cai [ctb], Tomas Protivinsky [ctb]
Maintainer: Taiyun Wei <weitaiyun@gmail.com>

Diff between corrplot versions 0.88 dated 2021-05-11 and 0.89 dated 2021-06-07

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New package autoFC with initial version 0.1.2
Package: autoFC
Title: Automatic Construction of Forced-Choice Tests
Version: 0.1.2
Authors@R: c( person("Mengtong", "Li", email = "ml70@illinois.edu", role = c("cre", "aut"), comment = c(ORCID = "0000-0002-1766-4976")), person("Tianjun", "Sun", email = "tsun5@illinois.edu", role = "aut", comment = c(ORCID = "0000-0002-3655-0042")), person("Bo", "Zhang", email = "bozhang3065@gmail.com", role = "aut"))
Author: Mengtong Li [cre, aut] (<https://orcid.org/0000-0002-1766-4976>), Tianjun Sun [aut] (<https://orcid.org/0000-0002-3655-0042>), Bo Zhang [aut]
Maintainer: Mengtong Li <ml70@illinois.edu>
Description: Forced-choice (FC) response has gained increasing popularity and interest for its resistance to faking when well-designed (Cao & Drasgow, 2019 <doi:10.1037/apl0000414>). To established well-designed FC scales, typically each item within a block should measure different trait and have similar level of social desirability (Zhang et al., 2020 <doi:10.1177/1094428119836486>). Recent study also suggests the importance of high inter-item agreement of social desirability between items within a block (Pavlov et al., 2021 <doi:10.31234/osf.io/hmnrc>). In addition to this, FC developers may also need to maximize factor loading differences (Brown & Maydeu-Olivares, 2011 <doi:10.1177/0013164410375112>) or minimize item location differences (Cao & Drasgow, 2019 <doi:10.1037/apl0000414>) depending on scoring models. Decision of which items should be assigned to the same block, termed item pairing, is thus critical to the quality of an FC test. This pairing process is essentially an optimization process which is currently carried out manually. However, given that we often need to simultaneously meet multiple objectives, manual pairing becomes impractical or even not feasible once the number of latent traits and/or number of items per trait are relatively large. To address these problems, autoFC is developed as a practical tool for facilitating the automatic construction of FC tests, essentially exempting users from the burden of manual item pairing and reducing the computational costs and biases induced by simple ranking methods. Given characteristics of each item (and item responses), FC tests can be automatically constructed based on user-defined pairing criteria and weights as well as customized optimization behavior. Users can also construct parallel forms of the same test following the same pairing rules.
URL: https://github.com/tspsyched/autoFC
BugReports: https://github.com/tspsyched/autoFC/issues
License: GPL-3
Encoding: UTF-8
Imports: irrCAC
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-06-04 15:53:59 UTC; LENOVO
Repository: CRAN
Date/Publication: 2021-06-07 07:20:04 UTC

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Package serrsBayes updated to version 0.4-2 with previous version 0.4-1 dated 2020-02-05

Title: Bayesian Modelling of Raman Spectroscopy
Description: Sequential Monte Carlo (SMC) algorithms for fitting a generalised additive mixed model (GAMM) to surface-enhanced resonance Raman spectroscopy (SERRS), using the method of Moores et al. (2016) <arXiv:1604.07299>. Multivariate observations of SERRS are highly collinear and lend themselves to a reduced-rank representation. The GAMM separates the SERRS signal into three components: a sequence of Lorentzian, Gaussian, or pseudo-Voigt peaks; a smoothly-varying baseline; and additive white noise. The parameters of each component of the model are estimated iteratively using SMC. The posterior distributions of the parameters given the observed spectra are represented as a population of weighted particles.
Author: Matt Moores [aut, cre] (<https://orcid.org/0000-0003-4531-3572>), Jake Carson [aut] (<https://orcid.org/0000-0002-7896-0971>), Benjamin Moskowitz [ctb], Kirsten Gracie [dtc], Karen Faulds [dtc] (<https://orcid.org/0000-0002-5567-7399>), Mark Girolami [aut], Engineering and Physical Sciences Research Council [fnd] (EPSRC programme grant ref: EP/L014165/1), University of Warwick [cph]
Maintainer: Matt Moores <mmoores@gmail.com>

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Package RJDemetra updated to version 0.1.7 with previous version 0.1.6 dated 2020-08-10

Title: Interface to 'JDemetra+' Seasonal Adjustment Software
Description: Interface around 'JDemetra+' (<https://github.com/jdemetra/jdemetra-app>), the seasonal adjustment software officially recommended to the members of the European Statistical System (ESS) and the European System of Central Banks. It offers full access to all options and outputs of 'JDemetra+', including the two leading seasonal adjustment methods TRAMO/SEATS+ and X-12ARIMA/X-13ARIMA-SEATS.
Author: Alain Quartier-la-Tente [aut, cre] (<https://orcid.org/0000-0001-7890-3857>), Anna Michalek [aut], Jean Palate [aut], Raf Baeyens [aut]
Maintainer: Alain Quartier-la-Tente <alain.quartier@yahoo.fr>

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New package psp with initial version 0.1
Package: psp
Title: Parameter Space Partitioning MCMC for Global Model Evaluation
Version: 0.1
Date: 2021-05-06
Authors@R: c(person("Lenard", "Dome", email = "lenarddome@protonmail.ch", role = c("aut", "cre")), person("Andy Wills", role = c("aut")))
Description: Implements an n-dimensional parameter space partitioning algorithm for evaluating the global behaviour of formal computational models as described by Pitt, Kim, Navarro and Myung (2006) <doi:10.1037/0033-295X.113.1.57>.
License: GPL (>= 3)
Depends: parallel
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2021-06-04 12:26:05 UTC; suninfluences
Author: Lenard Dome [aut, cre], Andy Wills [aut]
Maintainer: Lenard Dome <lenarddome@protonmail.ch>
Repository: CRAN
Date/Publication: 2021-06-07 06:50:02 UTC

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Package metan updated to version 1.14.0 with previous version 1.13.0 dated 2021-03-27

Title: Multi Environment Trials Analysis
Description: Performs stability analysis of multi-environment trial data using parametric and non-parametric methods. Parametric methods includes Additive Main Effects and Multiplicative Interaction (AMMI) analysis by Gauch (2013) <doi:10.2135/cropsci2013.04.0241>, Ecovalence by Wricke (1965), Genotype plus Genotype-Environment (GGE) biplot analysis by Yan & Kang (2003) <doi:10.1201/9781420040371>, geometric adaptability index by Mohammadi & Amri (2008) <doi:10.1007/s10681-007-9600-6>, joint regression analysis by Eberhart & Russel (1966) <doi:10.2135/cropsci1966.0011183X000600010011x>, genotypic confidence index by Annicchiarico (1992), Murakami & Cruz's (2004) method, power law residuals (POLAR) statistics by Doring et al. (2015) <doi:10.1016/j.fcr.2015.08.005>, scale-adjusted coefficient of variation by Doring & Reckling (2018) <doi:10.1016/j.eja.2018.06.007>, stability variance by Shukla (1972) <doi:10.1038/hdy.1972.87>, weighted average of absolute scores by Olivoto et al. (2019a) <doi:10.2134/agronj2019.03.0220>, and multi-trait stability index by Olivoto et al. (2019b) <doi:10.2134/agronj2019.03.0221>. Non-parametric methods includes superiority index by Lin & Binns (1988) <doi:10.4141/cjps88-018>, nonparametric measures of phenotypic stability by Huehn (1990) <https://link.springer.com/article/10.1007/BF00024241>, TOP third statistic by Fox et al. (1990) <doi:10.1007/BF00040364>. Functions for computing biometrical analysis such as path analysis, canonical correlation, partial correlation, clustering analysis, and tools for inspecting, manipulating, summarizing and plotting typical multi-environment trial data are also provided.
Author: Tiago Olivoto [aut, cre, cph] (<https://orcid.org/0000-0002-0241-9636>)
Maintainer: Tiago Olivoto <tiagoolivoto@gmail.com>

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Package IsoplotRgui updated to version 4.0 with previous version 3.8 dated 2021-04-06

Title: Web Interface to 'IsoplotR'
Description: Provides a graphical user interface to the 'IsoplotR' package for radiometric geochronology. The GUI runs in an internet browser and can either be used offline, or hosted on a server to provide online access to the 'IsoplotR' toolbox.
Author: Pieter Vermeesch [aut, cre], Tim Band [ctb]
Maintainer: Pieter Vermeesch <p.vermeesch@ucl.ac.uk>

Diff between IsoplotRgui versions 3.8 dated 2021-04-06 and 4.0 dated 2021-06-07

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New package LKT with initial version 1.0
Package: LKT
Title: Logistic Knowledge Tracing
Version: 1.0
Authors@R: c(person(given = "Philip I.", family = "Pavlik Jr.", role = c("aut","ctb","cre"), email = "imrryr@gmail.com", comment = c(ORCID = "0000-0001-6467-9452")), person(given = "Luke G.", family = "Eglington", role = c("aut","ctb"), email = "luke.eglington.mail@gmail.com", comment = c(ORCID = "0000-0002-8432-9203")) )
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) <arXiv:2005.00869>. '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.
License: GPL-3
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
Imports: lme4 (>= 1.1-23), pROC (>= 1.16.2), SparseM (>= 1.78), utils, Matrix, methods, knitr, data.table (>= 1.13.2), LiblineaR (>= 2.10-8), glmnet (>= 4.0-2), glmnetUtils (>= 1.1.8), caret
NeedsCompilation: no
Packaged: 2021-06-04 13:46:17 UTC; ppavl
Author: Philip I. Pavlik Jr. [aut, ctb, cre] (<https://orcid.org/0000-0001-6467-9452>), Luke G. Eglington [aut, ctb] (<https://orcid.org/0000-0002-8432-9203>)
Maintainer: Philip I. Pavlik Jr. <imrryr@gmail.com>
Repository: CRAN
Date/Publication: 2021-06-07 07:00:09 UTC

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Package gtfsio updated to version 0.1.2 with previous version 0.1.1 dated 2021-05-26

Title: Read and Write General Transit Feed Specification (GTFS) Files
Description: Tools for the development of packages related to General Transit Feed Specification (GTFS) files. Establishes a standard for representing GTFS feeds using R data types. Provides fast and flexible functions to read and write GTFS feeds while sticking to this standard. Defines a basic 'gtfs' class which is meant to be extended by packages that depend on it. And offers utility functions that support checking the structure of GTFS objects.
Author: Daniel Herszenhut [aut, cre] (<https://orcid.org/0000-0001-8066-1105>), Flavio Poletti [aut], Mark Padgham [rev], Rafael H. M. Pereira [rev] (<https://orcid.org/0000-0003-2125-7465>), Tom Buckley [rev], Ipea - Institute for Applied Economic Research [cph, fnd]
Maintainer: Daniel Herszenhut <dhersz@gmail.com>

Diff between gtfsio versions 0.1.1 dated 2021-05-26 and 0.1.2 dated 2021-06-07

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New package geonet with initial version 0.1.1
Package: geonet
Title: Intensity Estimation on Geometric Networks with Penalized Splines
Version: 0.1.1
Authors@R: person(given = "Marc", family = "Schneble", role = c("aut", "cre"), email = "marc.schneble@stat.uni-muenchen.de")
Description: Fitting the intensity function of point processes on geometric networks. The method makes use of generalized additive models (GAM). The method is described in Schneble and Kauermann (2020) <arXiv:2002.10270>. A new class for representing linear networks as geometric networks is the core of the package.
Language: en-US
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: spatstat.linnet, spatstat.geom, mgcv, Matrix, splines, igraph, dplyr (>= 1.0.2), ggplot2 (>= 3.3.2)
Depends: R (>= 4.0.0),
Suggests: testthat, spatstat, spatstat.data
NeedsCompilation: no
Packaged: 2021-06-04 12:12:20 UTC; ru58paj
Author: Marc Schneble [aut, cre]
Maintainer: Marc Schneble <marc.schneble@stat.uni-muenchen.de>
Repository: CRAN
Date/Publication: 2021-06-07 06:50:10 UTC

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New package fpcb with initial version 0.1.0
Package: fpcb
Version: 0.1.0
Title: Predictive Confidence Bands for Functional Time Series Forecasting
Author: Nicolás Hernández [aut, cre], Jairo Cugliari [aut, cre], Julien Jacques [aut]
Maintainer: Nicolás Hernández <nicolashernandezb@gmail.com>
Description: Functions to represent functional objects under a Reproducing Kernel Hilbert Space (RKHS) framework as described in Muñoz & González (2010). Autoregressive Hilbertian Model for functional time series using RKHS and predictive confidence bands construction as proposed in Hernández et al (2021).
Encoding: UTF-8
License: GPL (>= 3)
Imports: FNN
Repository: CRAN
NeedsCompilation: yes
Packaged: 2021-06-04 11:28:11 UTC; jairo
BugReports: https://github.com/nicolashernandezb/fpcb/issues
Date/Publication: 2021-06-07 06:50:13 UTC

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Package csodata updated to version 1.2.0 with previous version 1.1.1 dated 2020-12-17

Title: Download Data from the CSO 'PxStat' API
Description: Imports 'PxStat' data in JSON-stat format and (optionally) reshapes it into wide format. The Central Statistics Office (CSO) is the national statistical institute of Ireland and 'PxStat' is the CSOs online database of Official Statistics. This database contains current and historical data series compiled from CSO statistical releases and is accessed at <http://data.cso.ie>. The CSO 'PxStat' Application Programming Interface (API), which is accessed in this package, provides access to 'PxStat' data in JSON-stat format at <http://data.cso.ie>. This dissemination tool allows developers machine to machine access to CSO 'PxStat' data.
Author: Eoin Horgan [aut] (<https://orcid.org/0000-0002-3446-6154>), Conor Crowley [aut, cre], Vytas Vaiciulis [aut], Mervyn O'Luing [aut]
Maintainer: Conor Crowley <conor.crowley@cso.ie>

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Package CausalImpact updated to version 1.2.7 with previous version 1.2.6 dated 2021-02-23

Title: Inferring Causal Effects using Bayesian Structural Time-Series Models
Description: Implements a Bayesian approach to causal impact estimation in time series, as described in Brodersen et al. (2015) <DOI:10.1214/14-AOAS788>. See the package documentation on GitHub <https://google.github.io/CausalImpact/> to get started.
Author: Kay H. Brodersen <kbrodersen@google.com>, Alain Hauser <alhauser@google.com>
Maintainer: Alain Hauser <alhauser@google.com>

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Package PAFway (with last version 0.1.3) was removed from CRAN

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

2020-02-05 0.1.3
2019-12-16 0.1.2

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Package EWOC2 (with last version 1.0) was removed from CRAN

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

2019-03-29 1.0

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Package FixedPoint (with last version 0.6.1) was removed from CRAN

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

2019-03-12 0.6.1
2019-03-09 0.6
2018-06-05 0.5
2018-03-30 0.4
2018-03-22 0.3
2018-02-03 0.2
2017-12-07 0.1

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Package tuts (with last version 0.1.1) was removed from CRAN

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

2018-06-12 0.1.1
2018-06-10 0.1.0

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Package staTools (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:

2015-03-17 0.1.0

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Package powerlmm (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:

2018-08-14 0.4.0
2018-04-17 0.3.0
2018-03-20 0.2.0
2017-09-11 0.1.0

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Package network updated to version 1.17.0 with previous version 1.16.1 dated 2020-10-07

Title: Classes for Relational Data
Description: Tools to create and modify network objects. The network class can represent a range of relational data types, and supports arbitrary vertex/edge/graph attributes.
Author: Carter T. Butts [aut, cre], David Hunter [ctb], Mark Handcock [ctb], Skye Bender-deMoll [ctb], Jeffrey Horner [ctb], Li Wang [ctb], Pavel N. Krivitsky [ctb] (<https://orcid.org/0000-0002-9101-3362>), Brendan Knapp [ctb] (<https://orcid.org/0000-0003-3284-4972>), Michał Bojanowski [ctb], Chad Klumb [ctb]
Maintainer: Carter T. Butts <buttsc@uci.edu>

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Package vectools updated to version 0.3.0 with previous version 0.2.0 dated 2020-10-22

Title: Advanced Vector Toolkit
Description: Image objects/arrays, geometric objects/arrays (in 2D/3D), block matrices and matrix arrays, with related binary operators and plain text markup. Mid-level plotting/rendering functions (as building blocks for high-level plotting functions), with dual support for base and grid graphics systems. Also, sequence/set utilities, linear transformations and additional color matrix/array transformations.
Author: Abby Spurdle
Maintainer: Abby Spurdle <spurdle.a@gmail.com>

Diff between vectools versions 0.2.0 dated 2020-10-22 and 0.3.0 dated 2021-06-07

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More information about vectools at CRAN
Permanent link

Package VancouvR updated to version 0.1.4 with previous version 0.1.3 dated 2021-05-10

Title: Access the 'City of Vancouver' Open Data API
Description: Wrapper around the 'City of Vancouver' Open Data API <https://opendata.vancouver.ca/api/v2/console> to simplify and standardize access to 'City of Vancouver' open data. Functionality to list the data catalogue and access data and geographic records.
Author: Jens von Bergmann
Maintainer: Jens von Bergmann <jens@mountainmath.ca>

Diff between VancouvR versions 0.1.3 dated 2021-05-10 and 0.1.4 dated 2021-06-07

 DESCRIPTION            |    6 +++---
 MD5                    |   22 +++++++++++-----------
 NEWS.md                |    9 ++++++++-
 README.md              |    4 +++-
 build/vignette.rds     |binary
 inst/doc/Demo.R        |    7 ++++---
 inst/doc/Demo.Rmd      |    7 ++++---
 inst/doc/Demo.html     |   26 +++++++++++++-------------
 inst/doc/Isolines.R    |    3 ++-
 inst/doc/Isolines.Rmd  |    3 ++-
 vignettes/Demo.Rmd     |    7 ++++---
 vignettes/Isolines.Rmd |    3 ++-
 12 files changed, 56 insertions(+), 41 deletions(-)

More information about VancouvR at CRAN
Permanent link


Built and running on Debian GNU/Linux using R, littler and blosxom. Styled with Bootstrap.