Sun, 15 Nov 2020

New package osDesign with initial version 1.8
Package: osDesign
Type: Package
Title: Design, Planning and Analysis of Observational Studies
Version: 1.8
Date: 2020-12-11
Author: Sebastien Haneuse, Takumi Saegusa, Nilanjan Chaterjee, Norman Breslow
Maintainer: Sebastien Haneuse <shaneuse@hsph.harvard.edu>
Description: A suite of functions for the design of case-control and two-phase studies, and the analysis of data that arise from them. Functions in this packages provides Monte Carlo based evaluation of operating characteristics such as powers for estimators of the components of a logistic regression model. For additional detail see: Haneuse S, Saegusa T and Lumley T (2011)<doi:10.18637/jss.v043.i11>.
Depends: R (>= 3.5.0)
License: GPL (>= 3)
LazyLoad: yes
NeedsCompilation: no
Packaged: 2020-11-15 20:30:21 UTC; sebastienhaneuse
Repository: CRAN
Date/Publication: 2020-11-15 23:40:03 UTC

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Package mlr3cluster updated to version 0.1.1 with previous version 0.1.0 dated 2020-10-01

Title: Cluster Extension for 'mlr3'
Description: Extends the 'mlr3' package with cluster analysis.
Author: Damir Pulatov [cre, aut], Michel Lang [aut] (<https://orcid.org/0000-0001-9754-0393>)
Maintainer: Damir Pulatov <damirpolat@protonmail.com>

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Package sonicscrewdriver updated to version 0.0.3 with previous version 0.0.1 dated 2019-11-19

Title: Bioacoustic Analysis and Publication Tools
Description: Provides basic tools for manipulating sound files for bioacoustic analysis, and preparing analyses these for publication. The package validates that values are physically possible wherever feasible.
Author: Baker Ed [aut, cre], Geissman Quentin [ctb]
Maintainer: Baker Ed <ed@ebaker.me.uk>

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Package rSPARCS updated to version 0.1.0 with previous version 0.0.9 dated 2020-07-15

Title: Sites, Population, and Records Cleaning Skills
Description: Data cleaning including 1) generating datasets for time-series and case-crossover analyses based on raw hospital records, 2)linking individuals to a areal map, 3)picking out cases living within a certain distance from a site, etc. For more information, please refer to Zhang W,etc. (2018) <doi: 10.1016/j.envpol.2018.08.030>.
Author: Wangjian Zhang, Bo Ye, Zhicheng Du, Ziqiang Lin, Jijin Yao, Yanan Jin, Wayne R. Lawrence
Maintainer: Wangjian Zhang <wzhang27@albany.edu>

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Package OpenRepGrid.ic updated to version 0.4.0 with previous version 0.3.1 dated 2020-09-07

Title: Interpretive Clustering for Repertory Grids
Description: Shiny UI to identify cliques of related constructs in repertory grid data. See Burr, King, & Heckmann (2020) <doi:10.1080/14780887.2020.1794088> for a description of the interpretive clustering (IC) method.
Author: Mark Heckmann [aut, cre, cph] (<https://orcid.org/0000-0002-0736-7417>), Viv Burr [aut], Nigel King [aut]
Maintainer: Mark Heckmann <heckmann.mark@gmail.com>

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Package fec16 updated to version 0.1.3 with previous version 0.1.2 dated 2020-10-18

Title: Data Package for the 2016 United States Federal Elections
Description: Easily analyze relational data from the United States 2016 federal election cycle as reported by the Federal Election Commission. This package contains data about candidates, committees, and a variety of different financial expenditures. Data is from <https://www.fec.gov/data/browse-data/?tab=bulk-data>.
Author: Marium Tapal [aut, cre] (<https://orcid.org/0000-0001-5093-6462>), Rana Gahwagy [aut], Irene Ryan [aut], Benjamin S. Baumer [aut] (<https://orcid.org/0000-0002-3279-0516>)
Maintainer: Marium Tapal <mariumtapal@gmail.com>

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Package expss updated to version 0.10.7 with previous version 0.10.6 dated 2020-07-26

Title: Tables, Labels and Some Useful Functions from Spreadsheets and 'SPSS' Statistics
Description: Package computes and displays tables with support for 'SPSS'-style labels, multiple and nested banners, weights, multiple-response variables and significance testing. There are facilities for nice output of tables in 'knitr', 'Shiny', '*.xlsx' files, R and 'Jupyter' notebooks. Methods for labelled variables add value labels support to base R functions and to some functions from other packages. Additionally, the package brings popular data transformation functions from 'SPSS' Statistics and 'Excel': 'RECODE', 'COUNT', 'COMPUTE', 'DO IF', 'COUNTIF', 'VLOOKUP' and etc. These functions are very useful for data processing in marketing research surveys. Package intended to help people to move data processing from 'Excel' and 'SPSS' to R.
Author: Gregory Demin [aut, cre], Sebastian Jeworutzki [ctb] (<https://orcid.org/0000-0002-2671-5253>)
Maintainer: Gregory Demin <gdemin@gmail.com>

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Package mlrCPO updated to version 0.3.7 with previous version 0.3.6 dated 2020-04-06

Title: Composable Preprocessing Operators and Pipelines for Machine Learning
Description: Toolset that enriches 'mlr' with a diverse set of preprocessing operators. Composable Preprocessing Operators ("CPO"s) are first-class R objects that can be applied to data.frames and 'mlr' "Task"s to modify data, can be attached to 'mlr' "Learner"s to add preprocessing to machine learning algorithms, and can be composed to form preprocessing pipelines.
Author: Martin Binder [aut, cre], Bernd Bischl [ctb], Michel Lang [ctb], Lars Kotthoff [ctb]
Maintainer: Martin Binder <developer.mb706@doublecaret.com>

Diff between mlrCPO versions 0.3.6 dated 2020-04-06 and 0.3.7 dated 2020-11-15

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More information about mlrCPO at CRAN
Permanent link

Package uwot updated to version 0.1.9 with previous version 0.1.8 dated 2020-03-16

Title: The Uniform Manifold Approximation and Projection (UMAP) Method for Dimensionality Reduction
Description: An implementation of the Uniform Manifold Approximation and Projection dimensionality reduction by McInnes et al. (2018) <arXiv:1802.03426>. It also provides means to transform new data and to carry out supervised dimensionality reduction. An implementation of the related LargeVis method of Tang et al. (2016) <arXiv:1602.00370> is also provided. This is a complete re-implementation in R (and C++, via the 'Rcpp' package): no Python installation is required. See the uwot website (<https://github.com/jlmelville/uwot>) for more documentation and examples.
Author: James Melville [aut, cre], Aaron Lun [ctb], Mohamed Nadhir Djekidel [ctb], Yuhan Hao [ctb]
Maintainer: James Melville <jlmelville@gmail.com>

Diff between uwot versions 0.1.8 dated 2020-03-16 and 0.1.9 dated 2020-11-15

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Package flattabler updated to version 1.2.0 with previous version 1.1.0 dated 2020-08-10

Title: Obtaining a Flat Table from Pivot Tables
Description: Transformations that allow obtaining a flat table from reports in text or Excel format that contain data in the form of pivot tables. They can be defined for a single report and applied to a set of reports.
Author: Jose Samos [aut, cre, cph] (<https://orcid.org/0000-0002-4457-3439>)
Maintainer: Jose Samos <jsamos@ugr.es>

Diff between flattabler versions 1.1.0 dated 2020-08-10 and 1.2.0 dated 2020-11-15

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Permanent link

Package Ryacas updated to version 1.1.3.1 with previous version 1.1.3 dated 2020-04-15

Title: R Interface to the 'Yacas' Computer Algebra System
Description: Interface to the 'yacas' computer algebra system (<http://www.yacas.org/>).
Author: Mikkel Meyer Andersen [aut, cre, cph], Rob Goedman [aut, cph], Gabor Grothendieck [aut, cph], Søren Højsgaard [aut, cph], Grzegorz Mazur [aut, cph], Ayal Pinkus [aut, cph], Nemanja Trifunovic [cph] (UTF-8 part of yacas (src/yacas/include/yacas/utf8*))
Maintainer: Mikkel Meyer Andersen <mikl@math.aau.dk>

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Package here updated to version 1.0.0 with previous version 0.1 dated 2017-05-28

Title: A Simpler Way to Find Your Files
Description: Constructs paths to your project's files. Declare the relative path of a file within your project with 'i_am()'. Use the 'here()' function as a drop-in replacement for 'file.path()', it will always locate the files relative to your project root.
Author: Kirill Müller [aut, cre] (<https://orcid.org/0000-0002-1416-3412>), Jennifer Bryan [ctb] (<https://orcid.org/0000-0002-6983-2759>)
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

Diff between here versions 0.1 dated 2017-05-28 and 1.0.0 dated 2020-11-15

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New package eva with initial version 0.2.6
Package: eva
Title: Extreme Value Analysis with Goodness-of-Fit Testing
Date: 2020-11-14
Version: 0.2.6
Authors@R: c(person(given = "Brian", family = "Bader", role = c("aut", "cre"), email = "bbader.stat@gmail.com"), person(given = "Jun", family = "Yan", role = "ctb"))
Description: Goodness-of-fit tests for selection of r in the r-largest order statistics (GEVr) model. Goodness-of-fit tests for threshold selection in the Generalized Pareto distribution (GPD). Random number generation and density functions for the GEVr distribution. Profile likelihood for return level estimation using the GEVr and Generalized Pareto distributions. P-value adjustments for sequential, multiple testing error control. Non-stationary fitting of GEVr and GPD. Bader, B., Yan, J. & Zhang, X. (2016) <doi:10.1007/s11222-016-9697-3>. Bader, B., Yan, J. & Zhang, X. (2018) <doi:10.1214/17-AOAS1092>.
Imports: Matrix, parallel, stats, graphics, utils, EnvStats
Depends: R(>= 2.10.0)
Suggests: rmarkdown, knitr, SpatialExtremes
License: GPL (>= 2)
Repository: CRAN
VignetteBuilder: knitr
URL: https://github.com/brianbader/eva_package
BugReports: https://github.com/brianbader/eva_package/issues
LazyData: true
RoxygenNote: 7.1.1
Encoding: UTF-8
Author: Brian Bader [aut, cre], Jun Yan [ctb]
Maintainer: Brian Bader <bbader.stat@gmail.com>
NeedsCompilation: no
Packaged: 2020-11-15 02:25:35 UTC; Brian
Date/Publication: 2020-11-15 17:20:02 UTC

More information about eva at CRAN
Permanent link

Package BGVAR updated to version 2.1.5 with previous version 2.1.4 dated 2020-11-14

Title: Bayesian Global Vector Autoregressions
Description: Estimation of Bayesian Global Vector Autoregressions (BGVAR) with different prior setups and the possibility to introduce stochastic volatility. Built-in priors include the Minnesota, the stochastic search variable selection and Normal-Gamma (NG) prior. For a reference see also Crespo Cuaresma, J., Feldkircher, M. and F. Huber (2016) "Forecasting with Global Vector Autoregressive Models: a Bayesian Approach", Journal of Applied Econometrics, Vol. 31(7), pp. 1371-1391 <doi:10.1002/jae.2504>. Post-processing functions allow for doing predictions, structurally identify the model with short-run or sign-restrictions and compute impulse response functions, historical decompositions and forecast error variance decompositions. Plotting functions are also available.
Author: Maximilian Boeck [aut, cre] (<https://orcid.org/0000-0001-6024-8305>), Martin Feldkircher [aut] (<https://orcid.org/0000-0002-5511-9215>), Florian Huber [aut] (<https://orcid.org/0000-0002-2896-7921>), Christopher Sims [ctb]
Maintainer: Maximilian Boeck <maximilian.boeck@wu.ac.at>

Diff between BGVAR versions 2.1.4 dated 2020-11-14 and 2.1.5 dated 2020-11-15

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Permanent link

Package piton updated to version 1.0.0 with previous version 0.1.1 dated 2017-06-06

Title: Parsing Expression Grammars in Rcpp
Description: A wrapper around the 'Parsing Expression Grammar Template Library', a C++11 library for generating Parsing Expression Grammars, that makes it accessible within Rcpp. With this, developers can implement their own grammars and easily expose them in R packages.
Author: Os Keyes [aut, cre], Duncan Garmonsway [ctb], Colin Hirsch [cph], Daniel Frey [cph]
Maintainer: Os Keyes <ironholds@gmail.com>

Diff between piton versions 0.1.1 dated 2017-06-06 and 1.0.0 dated 2020-11-15

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Package microeco updated to version 0.3.0 with previous version 0.2.1 dated 2020-11-12

Title: Microbial Community Ecology Data Analysis
Description: A series of statistical and plotting approaches in microbial community ecology based on the R6 class. The classes are designed for data preprocessing, taxa abundance plotting, alpha diversity statistics, beta diversity statistics, differential abundance test and indicator taxon analysis, environmental data analysis, null model analysis, network analysis and functional analysis.
Author: Chi Liu [aut, cre], Minjie Yao [aut], Xiangzhen Li [aut], Paul J. McMurdie [ctb], Yang Cao [ctb], James Robert White [ctb], Stilianos Louca [cph], Nhu H. Nguyen [cph]
Maintainer: Chi Liu <liuchi0426@126.com>

Diff between microeco versions 0.2.1 dated 2020-11-12 and 0.3.0 dated 2020-11-15

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Package rprojroot updated to version 2.0.2 with previous version 1.3-2 dated 2018-01-03

Title: Finding Files in Project Subdirectories
Description: Robust, reliable and flexible paths to files below a project root. The 'root' of a project is defined as a directory that matches a certain criterion, e.g., it contains a certain regular file.
Author: Kirill Müller [aut, cre] (<https://orcid.org/0000-0002-1416-3412>)
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

Diff between rprojroot versions 1.3-2 dated 2018-01-03 and 2.0.2 dated 2020-11-15

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Permanent link

Package SSDforR updated to version 1.5.20 with previous version 1.5.19 dated 2020-10-20

Title: Functions to Analyze Single System Data
Description: Functions to visually and statistically analyze single system data.
Author: Charles Auerbach [aut, cre], Wendy Zeitlin [aut]
Maintainer: Charles Auerbach <auerbach@yu.edu>

Diff between SSDforR versions 1.5.19 dated 2020-10-20 and 1.5.20 dated 2020-11-15

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Package bomrang updated to version 0.7.2 with previous version 0.7.1 dated 2020-09-28

Title: Australian Government Bureau of Meteorology ('BOM') Data Client
Description: Provides functions to interface with Australian Government Bureau of Meteorology ('BOM') data, fetching data and returning a data frame of precis forecasts, historical and current weather data from stations, agriculture bulletin data, 'BOM' 0900 or 1500 weather bulletins and downloading and importing radar and satellite imagery files. Data (c) Australian Government Bureau of Meteorology Creative Commons (CC) Attribution 3.0 licence or Public Access Licence (PAL) as appropriate. See <http://www.bom.gov.au/other/copyright.shtml> for further details.
Author: Adam H. Sparks [aut, cre] (<https://orcid.org/0000-0002-0061-8359>), Jonathan Carroll [aut] (<https://orcid.org/0000-0002-1404-5264>), James Goldie [aut] (<https://orcid.org/0000-0002-5024-6207>), Dean Marchiori [aut], Paul Melloy [aut] (<https://orcid.org/0000-0003-4253-7167>), Mark Padgham [aut, rev] (<https://orcid.org/0000-0003-2172-5265>), Hugh Parsonage [aut] (<https://orcid.org/0000-0003-4055-0835>), Keith Pembleton [aut] (<https://orcid.org/0000-0002-1896-4516>), James Balamuta [ctb] (<https://orcid.org/0000-0003-2826-8458>), Brooke Anderson [rev] (<https://orcid.org/0000-0002-5012-9035>)
Maintainer: Adam H. Sparks <adamhsparks@gmail.com>

Diff between bomrang versions 0.7.1 dated 2020-09-28 and 0.7.2 dated 2020-11-15

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Package geomultistar updated to version 1.1.0 with previous version 1.0.0 dated 2020-09-30

Title: Multidimensional Queries Enriched with Geographic Data
Description: Multidimensional systems allow complex queries to be carried out in an easy way. The geographical dimension, together with the temporal dimension, plays a fundamental role in multidimensional systems. Through this package, vector layers can be associated to the attributes of geographic dimensions, so that the results of multidimensional queries can be obtained directly as vector layers. The multidimensional structures on which we can define the queries can be created from a flat table or imported directly using functions from this package.
Author: Jose Samos [aut, cre, cph] (<https://orcid.org/0000-0002-4457-3439>)
Maintainer: Jose Samos <jsamos@ugr.es>

Diff between geomultistar versions 1.0.0 dated 2020-09-30 and 1.1.0 dated 2020-11-15

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More information about geomultistar at CRAN
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Package rvgtest (with last version 0.7.4) was removed from CRAN

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

2014-02-26 0.7.4
2014-02-21 0.7.2
2010-07-24 0.5.0

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Package dbmss (with last version 2.7-3) was removed from CRAN

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

2020-11-01 2.7-3
2020-10-31 2.7-2

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Package Renvlp updated to version 2.9 with previous version 2.8 dated 2020-03-16

Title: Computing Envelope Estimators
Description: Provides a general routine, envMU, which allows estimation of the M envelope of span(U) given root n consistent estimators of M and U. The routine envMU does not presume a model. This package implements response envelopes, partial response envelopes, envelopes in the predictor space, heteroscedastic envelopes, simultaneous envelopes, scaled response envelopes, scaled envelopes in the predictor space, groupwise envelopes, weighted envelopes, envelopes in logistic regression and envelopes in Poisson regression. For each of these model-based routines the package provides inference tools including bootstrap, cross validation, estimation and prediction, hypothesis testing on coefficients are included except for weighted envelopes. Tools for selection of dimension include AIC, BIC and likelihood ratio testing. Background is available at Cook, R. D., Forzani, L. and Su, Z. (2016) <doi:10.1016/j.jmva.2016.05.006>. Optimization is based on a clockwise coordinate descent algorithm.
Author: Minji Lee, Zhihua Su
Maintainer: Minji Lee <mlee9@ufl.edu>

Diff between Renvlp versions 2.8 dated 2020-03-16 and 2.9 dated 2020-11-15

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More information about Renvlp at CRAN
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