Thu, 09 Jul 2020

Package tfer updated to version 1.2 with previous version 1.1 dated 2010-11-08

Title: Forensic Glass Transfer Probabilities
Description: Statistical interpretation of forensic glass transfer (Simulation of the probability distribution of recovered glass fragments).
Author: James Curran and TingYu Huang
Maintainer: James Curran <j.curran@auckland.ac.nz>

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Package SUMMER updated to version 1.0.0 with previous version 0.3.0 dated 2019-10-23

Title: Spatio-Temporal Under-Five Mortality Methods for Estimation
Description: Provides methods for spatial and spatio-temporal smoothing of demographic and health indicators using survey data, with particular focus on estimating and projecting under-five mortality rates, described in Mercer et al. (2015) <doi:10.1214/15-AOAS872> and Li et al. (2019) <doi:10.1371/journal.pone.0210645>.
Author: Zehang R Li [cre, aut], Bryan D Martin [aut], Yuan Hsiao [aut], Jessica Godwin [aut], Jon Wakefield [aut], Samuel J Clark [aut], Geir-Arne Fuglstad [aut], Andrea Riebler [aut]
Maintainer: Zehang R Li <lizehang@gmail.com>

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Package ssdtools updated to version 0.3.0 with previous version 0.2.0 dated 2020-04-15

Title: Species Sensitivity Distributions
Description: Species sensitivity distributions are cumulative probability distributions which are fitted to toxicity concentrations for different species as described by Posthuma et al.(2001) <isbn:9781566705783>. The ssdtools package uses Maximum Likelihood to fit distributions such as the log-normal, gamma, log-logistic, log-Gumbel, Gompertz and Weibull. The user can provide custom distributions. Multiple distributions can be averaged using Information Criteria. Confidence intervals on hazard concentrations and proportions are produced by parametric bootstrapping.
Author: Joe Thorley [aut, cre, ctr] (<https://orcid.org/0000-0002-7683-4592>), Carl Schwarz [aut, ctr], Angeline Tillmanns [ctb], Ali Azizishirazi [ctb], Rebecca Fisher [ctb], David Fox [ctb], Kathleen McTavish [ctb], Heather Thompson [ctb], Andy Teucher [ctb], Emilie Doussantousse [ctb], Stephanie Hazlitt [ctb], Nan-Hung Hsieh [ctb], Sergio Ibarra Espinosa [ctb], Province of British Columbia [cph]
Maintainer: Joe Thorley <joe@poissonconsulting.ca>

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Package spant updated to version 1.7.0 with previous version 1.6.0 dated 2020-06-05

Title: MR Spectroscopy Analysis Tools
Description: Tools for reading, visualising and processing Magnetic Resonance Spectroscopy data. <https://martin3141.github.io/spant/>.
Author: Martin Wilson [cre, aut], Yong Wang [ctb], John Muschelli [ctb]
Maintainer: Martin Wilson <martin@pipegrep.co.uk>

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Package rpdo updated to version 0.3.1 with previous version 0.3.0 dated 2020-03-04

Title: Pacific Decadal Oscillation Index Data
Description: Monthly Pacific Decadal Oscillation (PDO) index values from January 1900 to September 2018. Superseded by 'rsoi' package which includes the historical and most recent monthly PDO index values together with related climate indices.
Author: Joe Thorley [aut, cre] (<https://orcid.org/0000-0002-7683-4592>), Nathan Mantua [aut, dtc], Steven R. Hare [aut, dtc]
Maintainer: Joe Thorley <joe@poissonconsulting.ca>

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More information about rpdo at CRAN
Permanent link

Package rlang updated to version 0.4.7 with previous version 0.4.6 dated 2020-05-02

Title: Functions for Base Types and Core R and 'Tidyverse' Features
Description: A toolbox for working with base types, core R features like the condition system, and core 'Tidyverse' features like tidy evaluation.
Author: Lionel Henry [aut, cre], Hadley Wickham [aut], RStudio [cph]
Maintainer: Lionel Henry <lionel@rstudio.com>

Diff between rlang versions 0.4.6 dated 2020-05-02 and 0.4.7 dated 2020-07-09

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More information about rlang at CRAN
Permanent link

Package Pareto updated to version 2.1.0 with previous version 2.0.0 dated 2020-05-02

Title: The Pareto, Piecewise Pareto and Generalized Pareto Distribution
Description: Utilities for the Pareto, piecewise Pareto and generalized Pareto distribution that are useful for reinsurance pricing. In particular, the package provides a non-trivial algorithm that can be used to match the expected losses of a tower of reinsurance layers with a layer-independent collective risk model. The theoretical background of the matching algorithm and most other methods are described in Ulrich Riegel (2018) <doi:10.1007/s13385-018-0177-3>.
Author: Ulrich Riegel [aut, cre]
Maintainer: Ulrich Riegel <ulrich.riegel@gmx.de>

Diff between Pareto versions 2.0.0 dated 2020-05-02 and 2.1.0 dated 2020-07-09

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More information about Pareto at CRAN
Permanent link

Package apsimx updated to version 1.946 with previous version 1.941 dated 2020-07-01

Title: Inspect, Read, Edit and Run 'APSIM' "Next Generation" and 'APSIM' Classic
Description: The functions in this package inspect, read, edit and run files for 'APSIM' "Next Generation" ('JSON') and 'APSIM' "Classic" ('XML'). The files with an 'apsim' extension correspond to 'APSIM' Classic (7.x) - Windows only - and the ones with an 'apsimx' extension correspond to 'APSIM' "Next Generation". For more information about 'APSIM' see (<https://www.apsim.info/>) and for 'APSIM' next generation (<https://apsimnextgeneration.netlify.com/>).
Author: Fernando Miguez [aut, cre] (<https://orcid.org/0000-0002-4627-8329>)
Maintainer: Fernando Miguez <femiguez@iastate.edu>

Diff between apsimx versions 1.941 dated 2020-07-01 and 1.946 dated 2020-07-09

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More information about apsimx at CRAN
Permanent link

Package pillar updated to version 1.4.5 with previous version 1.4.4 dated 2020-05-05

Title: Coloured Formatting for Columns
Description: Provides 'pillar' and 'colonnade' generics designed for formatting columns of data using the full range of colours provided by modern terminals.
Author: Kirill Müller [aut, cre], Hadley Wickham [aut], RStudio [cph]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

Diff between pillar versions 1.4.4 dated 2020-05-05 and 1.4.5 dated 2020-07-09

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Package ncvreg updated to version 3.12.0 with previous version 3.11.2 dated 2020-02-13

Title: Regularization Paths for SCAD and MCP Penalized Regression Models
Description: Fits regularization paths for linear regression, GLM, and Cox regression models using lasso or nonconvex penalties, in particular the minimax concave penalty (MCP) and smoothly clipped absolute deviation (SCAD) penalty, with options for additional L2 penalties (the "elastic net" idea). Utilities for carrying out cross-validation as well as post-fitting visualization, summarization, inference, and prediction are also provided.
Author: Patrick Breheny [aut, cre] (<https://orcid.org/0000-0002-0650-1119>)
Maintainer: Patrick Breheny <patrick-breheny@uiowa.edu>

Diff between ncvreg versions 3.11.2 dated 2020-02-13 and 3.12.0 dated 2020-07-09

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Package sparklyr updated to version 1.3.1 with previous version 1.3.0 dated 2020-06-27

Title: R Interface to Apache Spark
Description: R interface to Apache Spark, a fast and general engine for big data processing, see <http://spark.apache.org>. This package supports connecting to local and remote Apache Spark clusters, provides a 'dplyr' compatible back-end, and provides an interface to Spark's built-in machine learning algorithms.
Author: Javier Luraschi [aut], Kevin Kuo [aut] (<https://orcid.org/0000-0001-7803-7901>), Kevin Ushey [aut], JJ Allaire [aut], Samuel Macedo [ctb], Hossein Falaki [aut], Lu Wang [aut], Andy Zhang [aut], Yitao Li [aut, cre], RStudio [cph], The Apache Software Foundation [aut, cph]
Maintainer: Yitao Li <yitao@rstudio.com>

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Package hmstimer updated to version 0.1.0 with previous version 0.0.2 dated 2019-07-24

Title: 'hms' Based Timer
Description: Tracks elapsed clock time using a `hms::hms()` scalar, which if running has an attribute named start that specifies the system time when the timer was started. The elapsed time is the value of the scalar plus the difference between the current system time and the system time when the timer was started.
Author: Joe Thorley [aut, cre] (<https://orcid.org/0000-0002-7683-4592>), Poisson Consulting [cph, fnd]
Maintainer: Joe Thorley <joe@poissonconsulting.ca>

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Package blocksdesign updated to version 4.3 with previous version 4.2 dated 2020-06-11

Title: Nested and Crossed Block Designs for Factorial and Unstructured Treatment Sets
Description: Constructs D-optimal or near D-optimal treatment and block designs for linear treatment models with crossed or nested block factors. The treatment design can be any arbitrary linear model defined by a treatment model formula and the block design can be any feasible combination of crossed or nested block factors. The block design factors are optimized sequentially and the levels of each successive block factor are optimized within the levels of each preceding block factor. Crossed block designs with non-singular interaction effects are optimized using a weighting scheme that allows for differential weighting of first and second-order block effects. Outputs include a table showing the allocation of treatments to blocks and tables showing the achieved D-efficiency factors for each block and treatment design.
Author: R. N. Edmondson.
Maintainer: Rodney Edmondson <rodney.edmondson@gmail.com>

Diff between blocksdesign versions 4.2 dated 2020-06-11 and 4.3 dated 2020-07-09

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New package dnapath with initial version 0.6.4
Package: dnapath
Type: Package
Title: Differential Network Analysis using Gene Pathways
Version: 0.6.4
Author: Tyler Grimes and Somnath Datta
Maintainer: Tyler Grimes <tyler.grimes@ufl.edu>
Description: Integrates pathway information into the differential network analysis of two gene expression datasets as described in Grimes, Potter, and Datta (2019) <doi:10.1038/s41598-019-41918-3>. Provides summary functions to break down the results at the pathway, gene, or individual connection level. The differential networks for each pathway of interest can be plotted, and the visualization will highlight any differentially expressed genes and all of the gene-gene associations that are significantly differentially connected.
Depends: R (>= 3.6.0)
License: GPL-2 | GPL-3
LazyData: true
Imports: Rcpp (>= 1.0.1), biomaRt, reactome.db, corpcor, igraph, ggplot2, SeqNet, Rdpack, dplyr, tibble, stats, methods, curl, graphics, grDevices, utils
RdMacros: Rdpack
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
RoxygenNote: 7.1.0
Suggests: testthat (>= 2.1.0), knitr, rmarkdown, readr, bc3net, DWLasso, GENIE3, huge, minet
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2020-07-09 14:05:22 UTC; Grimes
Repository: CRAN
Date/Publication: 2020-07-09 17:30:03 UTC

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Package dae updated to version 3.1-27 with previous version 3.1-23 dated 2020-03-16

Title: Functions Useful in the Design and ANOVA of Experiments
Description: The content falls into the following groupings: (i) Data, (ii) Factor manipulation functions, (iii) Design functions, (iv) ANOVA functions, (v) Matrix functions, (vi) Projector and canonical efficiency functions, and (vii) Miscellaneous functions. There is a vignette describing how to use the design functions for randomizing and assessing designs available as a vignette called 'DesignNotes'. The ANOVA functions facilitate the extraction of information when the 'Error' function has been used in the call to 'aov'. The package 'dae' can also be installed from <http://chris.brien.name/rpackages/>.
Author: Chris Brien [aut, cre] (<https://orcid.org/0000-0003-0581-1817>)
Maintainer: Chris Brien <chris.brien@adelaide.edu.au>

Diff between dae versions 3.1-23 dated 2020-03-16 and 3.1-27 dated 2020-07-09

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New package ActivePathways with initial version 1.0.2
Package: ActivePathways
Title: Integrative Pathway Enrichment Analysis of Multivariate Omics Data
Version: 1.0.2
Authors@R: c(person("Juri", "Reimand", email = "juri.reimand@utoronto.ca", role = c("aut", "cre")), person("Jonathan", "Barenboim", email = "jon.barenboim@gmail.com", role = "aut"))
Description: Framework for analysing multiple omics datasets in the context of molecular pathways, biological processes and other types of gene sets. The package uses p-value merging to combine gene- or protein-level signals, followed by ranked hypergeometric tests to determine enriched pathways and processes. This approach allows researchers to interpret a series of omics datasets in the context of known biology and gene function, and discover associations that are only apparent when several datasets are combined. The package is part of the following publication: Integrative Pathway Enrichment Analysis of Multivariate Omics Data. Paczkowska M^, Barenboim J^, Sintupisut N, Fox NS, Zhu H, Abd-Rabbo D, Mee MW, Boutros PC, PCAWG Drivers and Functional Interpretation Working Group; Reimand J, PCAWG Consortium. Nature Communications (2020) <doi:10.1038/s41467-019-13983-9>.
Depends: R (>= 3.6)
Imports: data.table, ggplot2
License: GPL-3
URL:
BugReports: https://github.com/reimandlab/ActivePathways/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Suggests: testthat, knitr, rmarkdown, metap, EmpiricalBrownsMethod
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-07-09 15:28:05 UTC; jreimand
Author: Juri Reimand [aut, cre], Jonathan Barenboim [aut]
Maintainer: Juri Reimand <juri.reimand@utoronto.ca>
Repository: CRAN
Date/Publication: 2020-07-09 17:20:02 UTC

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Package R.rsp updated to version 0.44.0 with previous version 0.43.2 dated 2019-10-17

Title: Dynamic Generation of Scientific Reports
Description: The RSP markup language makes any text-based document come alive. RSP provides a powerful markup for controlling the content and output of LaTeX, HTML, Markdown, AsciiDoc, Sweave and knitr documents (and more), e.g. 'Today's date is <%=Sys.Date()%>'. Contrary to many other literate programming languages, with RSP it is straightforward to loop over mixtures of code and text sections, e.g. in month-by-month summaries. RSP has also several preprocessing directives for incorporating static and dynamic contents of external files (local or online) among other things. Functions rstring() and rcat() make it easy to process RSP strings, rsource() sources an RSP file as it was an R script, while rfile() compiles it (even online) into its final output format, e.g. rfile('report.tex.rsp') generates 'report.pdf' and rfile('report.md.rsp') generates 'report.html'. RSP is ideal for self-contained scientific reports and R package vignettes. It's easy to use - if you know how to write an R script, you'll be up and running within minutes.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

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Package PublicationBias updated to version 2.1.0 with previous version 2.0.0 dated 2020-03-30

Title: Sensitivity Analysis for Publication Bias in Meta-Analyses
Description: Performs sensitivity analysis for publication bias in meta-analyses (per Mathur & VanderWeele, 2020 [<https://osf.io/s9dp6>]). These analyses enable statements such as: "For publication bias to shift the observed point estimate to the null, 'significant' results would need to be at least 30-fold more likely to be published than negative or 'nonsignificant' results." Comparable statements can be made regarding shifting to a chosen non-null value or shifting the confidence interval. Provides a worst-case meta-analytic point estimate under maximal publication bias obtained simply by conducting a standard meta-analysis of only the negative and "nonsignificant" studies.
Author: Maya B. Mathur, Tyler J. VanderWeele
Maintainer: Maya B. Mathur <mmathur@stanford.edu>

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Package gsbm updated to version 0.1.1 with previous version 0.1.0 dated 2020-02-28

Title: Estimate Parameters in the Generalized SBM
Description: Given an adjacency matrix drawn from a Generalized Stochastic Block Model with missing observations, this package robustly estimates the probabilities of connection between nodes and detects outliers nodes, as describes in Gaucher, Klopp and Robin (2019) <arXiv:1911.13122>.
Author: Genevieve Robin [aut], Solenne Gaucher [aut, cre]
Maintainer: Solenne Gaucher <solenne.gaucher@math.u-psud.fr>

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Package tmap updated to version 3.1 with previous version 3.0 dated 2020-04-09

Title: Thematic Maps
Description: Thematic maps are geographical maps in which spatial data distributions are visualized. This package offers a flexible, layer-based, and easy to use approach to create thematic maps, such as choropleths and bubble maps.
Author: Martijn Tennekes [aut, cre], Jakub Nowosad [ctb], Joel Gombin [ctb], Sebastian Jeworutzki [ctb], Kent Russell [ctb], Richard Zijdeman [ctb], John Clouse [ctb], Robin Lovelace [ctb], Jannes Muenchow [ctb]
Maintainer: Martijn Tennekes <mtennekes@gmail.com>

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Package splines2 updated to version 0.3.0 with previous version 0.2.8 dated 2018-06-14

Title: Regression Spline Functions and Classes
Description: Constructs B-splines and its integral, M-splines and its integral (I-splines), convex splines (C-splines), generalized Bernstein polynomials, and their derivatives. It also contains a C++ head-only library integrated with Rcpp. See De Boor (1978) <doi:10.1002/zamm.19800600129>, Ramsay (1988) <doi:10.1214/ss/1177012761>, and Meyer (2008) <doi:10.1214/08-AOAS167> for more information about the spline basis.
Author: Wenjie Wang [aut, cre] (<https://orcid.org/0000-0003-0363-3180>), Jun Yan [aut] (<https://orcid.org/0000-0003-4401-7296>)
Maintainer: Wenjie Wang <wenjie.2.wang@uconn.edu>

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Package sos4R updated to version 0.4.2 with previous version 0.4.1 dated 2020-06-10

Title: Client for OGC Sensor Observation Services
Description: A client for Sensor Observation Services (SOS, see <https://www.opengeospatial.org/standards/sos>) as specified by the Open Geospatial Consortium (OGC). With the package users can retrieve (meta)data from SOS instances and interactively create requests for near real-time observation data based on the available sensors, phenomena, observations etc. using thematic, temporal, and spatial filtering.
Author: Daniel Nuest [cre, aut] (<https://orcid.org/0000-0002-0024-5046>), Edzer Pebesma [ctb] (<https://orcid.org/0000-0001-8049-7069>), Ben Graeler [aut] (<https://orcid.org/0000-0001-5443-4304>), Benjamin Pross [aut], Eike Hinderk Juerrens [aut], 52°North Initiative for Geospatial Open Source Software GmbH [cph]
Maintainer: Daniel Nuest <daniel.nuest@uni-muenster.de>

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Package politeness updated to version 0.6.1 with previous version 0.6.0 dated 2020-04-18

Title: Detecting Politeness Features in Text
Description: Detecting markers of politeness in English natural language. This package allows researchers to easily visualize and quantify politeness between groups of documents. This package combines prior research on the linguistic markers of politeness (Brown & Levinson, 1987 <http://psycnet.apa.org/record/1987-97641-000>; Danescu-Niculescu-Mizil et al., 2013 <arXiv:1306.6078>; Voigt et al., 2017 <doi:10.1073/pnas.1702413114>). We thank the Spencer Foundation, the Hewlett Foundation, and Harvard's Institute for Quantitative Social Science for support.
Author: Mike Yeomans, Alejandro Kantor, Dustin Tingley
Maintainer: Mike Yeomans <mk.yeomans@gmail.com>

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New package NRejections with initial version 1.2.0
Package: NRejections
Type: Package
Title: Metrics for Multiple Testing with Correlated Outcomes
Version: 1.2.0
Author: Maya B. Mathur, Tyler J. VanderWeele
Maintainer: Maya B. Mathur <mmathur@stanford.edu>
Description: Implements methods in Mathur and VanderWeele (in preparation) to characterize global evidence strength across W correlated ordinary least squares (OLS) hypothesis tests. Specifically, uses resampling to estimate a null interval for the total number of rejections in, for example, 95% of samples generated with no associations (the global null), the excess hits (the difference between the observed number of rejections and the upper limit of the null interval), and a test of the global null based on the number of rejections.
LazyData: true
License: GPL-2
Imports: stats, doParallel, matrixcalc, StepwiseTest, foreach, mvtnorm
RoxygenNote: 7.1.1
Suggests: testthat
NeedsCompilation: no
Packaged: 2020-07-09 12:58:21 UTC; mmathur
Repository: CRAN
Date/Publication: 2020-07-09 13:50:02 UTC

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Package TreeSearch updated to version 0.4.3 with previous version 0.4.2 dated 2020-07-07

Title: Phylogenetic Tree Search Using Custom Optimality Criteria
Description: Searches for phylogenetic trees that are optimal using a user-defined criterion. Handles inapplicable data using the algorithm of Brazeau, Guillerme and Smith (2019) <doi:10.1093/sysbio/syy083>. Implements Profile Parsimony (Faith and Trueman, 2001) <doi:10.1080/10635150118627>, and Successive Approximations (Farris, 1969) <doi:10.2307/2412182>.
Author: Martin R. Smith [aut, cre, cph] (<https://orcid.org/0000-0001-5660-1727>), Martin Brazeau [cph] (<https://orcid.org/0000-0002-0650-1282>)
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

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Package todor updated to version 0.1.1 with previous version 0.1.0 dated 2020-03-03

Title: Find All TODO Comments and More
Description: This is a simple addin to 'RStudio' that finds all 'TODO', 'FIX ME', 'CHANGED' etc. comments in your project and shows them as a markers list.
Author: Dominik Krzemiński [aut, cre]
Maintainer: Dominik Krzemiński <raymon92@gmail.com>

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Package stringfish updated to version 0.13.3 with previous version 0.13.2 dated 2020-07-08

Title: Alt String Implementation
Description: Provides an extendable and performant 'alt-string' implementation backed by 'C++' vectors and strings.
Author: Travers Ching [aut, cre, cph], Phillip Hazel [ctb] (Bundled PCRE2 code), Zoltan Herczeg [ctb, cph] (Bundled PCRE2 code), University of Cambridge [cph] (Bundled PCRE2 code), Tilera Corporation [cph] (Stack-less Just-In-Time compiler bundled with PCRE2), Yann Collet [ctb, cph] (Yann Collet is the author of the bundled xxHash code)
Maintainer: Travers Ching <traversc@gmail.com>

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Package stratvns updated to version 1.1 with previous version 1.0 dated 2017-05-27

Title: Optimal Stratification in Stratified Sampling
Description: An Optimization Algorithm Applied to Stratification Problem.This function aims at constructing optimal strata with an optimization algorithm based on a global optimisation technique called vns.
Author: Leonardo de Lima, Jose Brito, Pedro Gonzalez and Breno Oliveira
Maintainer: Jose Brito <jambrito@gmail.com>

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Package RobustGaSP updated to version 0.6.0 with previous version 0.5.7 dated 2019-06-05

Title: Robust Gaussian Stochastic Process Emulation
Description: Robust parameter estimation and prediction of Gaussian stochastic process emulators. It allows for robust parameter estimation and prediction using Gaussian stochastic process emulator. It also implements the parallel partial Gaussian stochastic process emulator for computer model with massive outputs See the reference: Mengyang Gu and Jim Berger, 2016, Annals of Applied Statistics; Mengyang Gu, Xiaojing Wang and Jim Berger, 2018, Annals of Statistics.
Author: Mengyang Gu [aut, cre], Jesus Palomo [aut], James Berger [aut]
Maintainer: Mengyang Gu <mengyang@pstat.ucsb.edu>

Diff between RobustGaSP versions 0.5.7 dated 2019-06-05 and 0.6.0 dated 2020-07-09

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More information about RobustGaSP at CRAN
Permanent link

Package quantreg updated to version 5.61 with previous version 5.55 dated 2020-04-01

Title: Quantile Regression
Description: Estimation and inference methods for models of conditional quantiles: Linear and nonlinear parametric and non-parametric (total variation penalized) models for conditional quantiles of a univariate response and several methods for handling censored survival data. Portfolio selection methods based on expected shortfall risk are also now included.
Author: Roger Koenker [cre, aut], Stephen Portnoy [ctb] (Contributions to Censored QR code), Pin Tian Ng [ctb] (Contributions to Sparse QR code), Blaise Melly [ctb] (Contributions to preprocessing code), Achim Zeileis [ctb] (Contributions to dynrq code essentially identical to his dynlm code), Philip Grosjean [ctb] (Contributions to nlrq code), Cleve Moler [ctb] (author of several linpack routines), Brian D Ripley [trl, ctb] (Initial (2001) R port from S (to my everlasting shame -- how could I have been so slow to adopt R!) and for numerous other suggestions and useful advice)
Maintainer: Roger Koenker <rkoenker@illinois.edu>

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Package IRISMustangMetrics updated to version 2.4.0 with previous version 2.3.0 dated 2019-11-15

Title: Statistics and Metrics for Seismic Data
Description: Classes and functions for metrics calculation as part of the 'IRIS DMC MUSTANG' project. The functionality in this package builds upon the base classes of the 'IRISSeismic' package. Metrics include basic statistics as well as higher level 'health' metrics that can help identify problematic seismometers.
Author: Jonathan Callahan [aut], Rob Casey [aut], Mary Templeton [aut], Gillian Sharer [aut, cre]
Maintainer: Gillian Sharer <gillian@iris.washington.edu>

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Package growthPheno updated to version 1.0-26 with previous version 1.0-22 dated 2020-03-18

Title: Plotting, Smoothing and Growth Trait Extraction for Longitudinal Data
Description: Assists in producing longitudinal or profile plots of measured traits. These allow checks to be made for anomalous data and growth patterns in the data to be explored. Smoothing of growth trends for individual plants using smoothing splines is available for removing transient effects. There are tools for diagnosing the adequacy of trait smoothing, either using this package or other packages, such as those that fit nonlinear growth models. A range of per-unit (pot, plant, plot) growth traits can be extracted from longitudinal data, including single time-point smoothed trait values and their growth rates, interval growth rates and other growth statistics, such as maximum growth. The package is particularly suited to preparing data from high-throughput phenotyping facilities, such as imaging data from a Lemna-Tec Scananalyzer 3D (see <https://www.youtube.com/watch?v=MRAF_mAEa7E/> for more information). The package 'growthPheno' can also be installed from <http://chris.brien.name/rpackages/>.
Author: Chris Brien [aut, cre] (<https://orcid.org/0000-0003-0581-1817>)
Maintainer: Chris Brien <chris.brien@adelaide.edu.au>

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New package cwbtools with initial version 0.3.0
Package: cwbtools
Type: Package
Title: Tools to Create, Modify and Manage 'CWB' Corpora
Version: 0.3.0
Date: 2020-06-24
Authors@R: c(person("Andreas", "Blaette", role = c("aut", "cre"), email = "andreas.blaette@uni-due.de"), person("Christoph", "Leonhardt", role = "ctb", email = "christoph.leonhardt@uni-due.de") )
Description: The 'Corpus Workbench' ('CWB', <http://cwb.sourceforge.net/>) offers a classic and mature approach for working with large, linguistically and structurally annotated corpora. The 'CWB' is memory efficient and its design makes running queries fast (Evert and Hardie 2011, <http://www.stefan-evert.de/PUB/EvertHardie2011.pdf>). The 'cwbtools' package offers pure R tools to create indexed corpus files as well as high-level wrappers for the original C implementation of CWB as exposed by the 'RcppCWB' package <https://CRAN.R-project.org/package=RcppCWB>. Additional functionality to add and modify annotations of corpora from within R makes working with CWB indexed corpora much more flexible and convenient. The 'cwbtools' package in combination with the R packages 'RcppCWB' (<https://CRAN.R-project.org/package=RcppCWB>) and 'polmineR' (<https://CRAN.R-project.org/package=polmineR>) offers a lightweight infrastructure to support the combination of quantitative and qualitative approaches for working with textual data.
Imports: data.table, R6, xml2, stringi, curl, RcppCWB (>= 0.2.8), pbapply, methods, cli, jsonlite, RCurl, rstudioapi, zen4R
Suggests: tm (>= 0.7.3), knitr, tokenizers (>= 0.2.1), tidytext, SnowballC, janeaustenr, devtools, polmineR, NLP, testthat, usethis, rmarkdown
VignetteBuilder: knitr
LazyData: yes
License: GPL-3
Language: en-US
Encoding: UTF-8
URL: https://www.github.com/PolMine/cwbtools
BugReports: https://github.com/PolMine/cwbtools/issues
Collate: 'CorpusData.R' 'corpus.R' 'cwb.R' 'cwbtools.R' 'directories.R' 'encoding.R' 'ner.R' 'p_attribute.R' 'pkg.R' 'registry_file.R' 's_attribute.R'
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-07-09 08:08:32 UTC; andreasblaette
Author: Andreas Blaette [aut, cre], Christoph Leonhardt [ctb]
Maintainer: Andreas Blaette <andreas.blaette@uni-due.de>
Repository: CRAN
Date/Publication: 2020-07-09 12:20:03 UTC

More information about cwbtools at CRAN
Permanent link

New package corclass with initial version 0.2
Package: corclass
Type: Package
Title: Correlational Class Analysis
Version: 0.2
Date: 2020-07-08
Author: Andrei Boutyline
Maintainer: Andrei Boutyline <aboutyl@umich.edu>
Description: Perform a correlational class analysis of the data, resulting in a partition of the data into separate modules.
License: GPL-2
Depends: igraph, methods
Suggests: Cairo
NeedsCompilation: no
Packaged: 2020-07-09 00:06:39 UTC; aboutyl
Repository: CRAN
Date/Publication: 2020-07-09 13:00:13 UTC

More information about corclass at CRAN
Permanent link

Package broom updated to version 0.7.0 with previous version 0.5.6 dated 2020-04-20

Title: Convert Statistical Objects into Tidy Tibbles
Description: Summarizes key information about statistical objects in tidy tibbles. This makes it easy to report results, create plots and consistently work with large numbers of models at once. Broom provides three verbs that each provide different types of information about a model. tidy() summarizes information about model components such as coefficients of a regression. glance() reports information about an entire model, such as goodness of fit measures like AIC and BIC. augment() adds information about individual observations to a dataset, such as fitted values or influence measures.
Author: David Robinson [aut], Alex Hayes [aut, cre] (<https://orcid.org/0000-0002-4985-5160>), Simon Couch [aut], Indrajeet Patil [ctb] (<https://orcid.org/0000-0003-1995-6531>), Derek Chiu [ctb], Matthieu Gomez [ctb], Boris Demeshev [ctb], Dieter Menne [ctb], Benjamin Nutter [ctb], Luke Johnston [ctb], Ben Bolker [ctb], Francois Briatte [ctb], Jeffrey Arnold [ctb], Jonah Gabry [ctb], Luciano Selzer [ctb], Gavin Simpson [ctb], Jens Preussner [ctb], Jay Hesselberth [ctb], Hadley Wickham [ctb], Matthew Lincoln [ctb], Alessandro Gasparini [ctb], Lukasz Komsta [ctb], Frederick Novometsky [ctb], Wilson Freitas [ctb], Michelle Evans [ctb], Jason Cory Brunson [ctb], Simon Jackson [ctb], Ben Whalley [ctb], Karissa Whiting [ctb], Yves Rosseel [ctb], Michael Kuehn [ctb], Jorge Cimentada [ctb], Erle Holgersen [ctb], Karl Dunkle Werner [ctb] (<https://orcid.org/0000-0003-0523-7309>), Ethan Christensen [ctb], Steven Pav [ctb], Paul PJ [ctb], Ben Schneider [ctb], Patrick Kennedy [ctb], Lily Medina [ctb], Brian Fannin [ctb], Jason Muhlenkamp [ctb], Matt Lehman [ctb], Bill Denney [ctb] (<https://orcid.org/0000-0002-5759-428X>), Nic Crane [ctb], Andrew Bates [ctb], Vincent Arel-Bundock [ctb] (<https://orcid.org/0000-0003-2042-7063>), Hideaki Hayashi [ctb], Luis Tobalina [ctb], Annie Wang [ctb], Wei Yang Tham [ctb], Clara Wang [ctb], Abby Smith [ctb] (<https://orcid.org/0000-0002-3207-0375>), Jasper Cooper [ctb] (<https://orcid.org/0000-0002-8639-3188>), E Auden Krauska [ctb] (<https://orcid.org/0000-0002-1466-5850>), Alex Wang [ctb], Malcolm Barrett [ctb] (<https://orcid.org/0000-0003-0299-5825>), Charles Gray [ctb] (<https://orcid.org/0000-0002-9978-011X>), Jared Wilber [ctb], Vilmantas Gegzna [ctb] (<https://orcid.org/0000-0002-9500-5167>), Eduard Szoecs [ctb], Frederik Aust [ctb] (<https://orcid.org/0000-0003-4900-788X>), Angus Moore [ctb], Nick Williams [ctb], Marius Barth [ctb] (<https://orcid.org/0000-0002-3421-6665>), Bruna Wundervald [ctb] (<https://orcid.org/0000-0001-8163-220X>), Joyce Cahoon [ctb] (<https://orcid.org/0000-0001-7217-4702>), Grant McDermott [ctb] (<https://orcid.org/0000-0001-7883-8573>), Kevin Zarca [ctb], Shiro Kuriwaki [ctb] (<https://orcid.org/0000-0002-5687-2647>), Lukas Wallrich [ctb] (<https://orcid.org/0000-0003-2121-5177>), James Martherus [ctb] (<https://orcid.org/0000-0002-8285-3300>), Chuliang Xiao [ctb] (<https://orcid.org/0000-0002-8466-9398>), Joseph Larmarange [ctb], Max Kuhn [ctb], Michal Bojanowski [ctb], Hakon Malmedal [ctb], Clara Wang [ctb], Sergio Oller [ctb], Luke Sonnet [ctb], Jim Hester [ctb], Cory Brunson [ctb], Ben Schneider [ctb], Bernie Gray [ctb] (<https://orcid.org/0000-0001-9190-6032>), Mara Averick [ctb], Aaron Jacobs [ctb], Andreas Bender [ctb], Sven Templer [ctb], Paul-Christian Buerkner [ctb], Matthew Kay [ctb], Erwan Le Pennec [ctb], Johan Junkka [ctb], Hao Zhu [ctb], Benjamin Soltoff [ctb], Zoe Wilkinson Saldana [ctb], Tyler Littlefield [ctb], Charles T. Gray [ctb], Shabbh E. Banks [ctb], Serina Robinson [ctb], Roger Bivand [ctb], Riinu Ots [ctb], Nicholas Williams [ctb], Nina Jakobsen [ctb], Michael Weylandt [ctb], Lisa Lendway [ctb], Karl Hailperin [ctb], Josue Rodriguez [ctb], Jenny Bryan [ctb], Chris Jarvis [ctb], Greg Macfarlane [ctb], Brian Mannakee [ctb], Drew Tyre [ctb], Shreyas Singh [ctb], Laurens Geffert [ctb], Hong Ooi [ctb], Henrik Bengtsson [ctb], Eduard Szocs [ctb], David Hugh-Jones [ctb], Matthieu Stigler [ctb]
Maintainer: Alex Hayes <alexpghayes@gmail.com>

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Package pubmedR updated to version 0.0.3 with previous version 0.0.2 dated 2020-04-03

Title: Gathering Metadata About Publications, Grants, Clinical Trials from 'PubMed' Database
Description: A set of tools to extract bibliographic content from 'PubMed' database using 'NCBI' REST API <https://www.ncbi.nlm.nih.gov/home/develop/api/>.
Author: Massimo Aria [aut, cre] (<https://orcid.org/0000-0002-8517-9411>)
Maintainer: Massimo Aria <massimo.aria@gmail.com>

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Package wrGraph updated to version 1.0.2 with previous version 1.0.1 dated 2020-06-02

Title: Graphics in the Context of Analyzing High-Throughput Data
Description: Additional options for making graphics in the context of analyzing high-throughput data are available here. This includes automatic segmenting of the current device (eg window) to accommodate multiple new plots, automatic checking for optimal location of legends in plots, small histograms to insert as legends, histograms re-transforming axis labels to linear when plotting log2-transformed data, a violin-plot <doi:10.1080/00031305.1998.10480559> function for a wide variety of input-formats, principal components analysis (PCA) <doi:10.1080/14786440109462720> with bag-plots <doi:10.1080/00031305.1999.10474494> to highlight and compare the center areas for groups of samples, generic MA-plots (differential- versus average-value plots) <doi:10.1093/nar/30.4.e15>, staggered count plots and generation of mouse-over interactive html pages.
Author: Wolfgang Raffelsberger [aut, cre]
Maintainer: Wolfgang Raffelsberger <w.raffelsberger@unistra.fr>

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Package weatherr updated to version 0.1.3 with previous version 0.1.2 dated 2015-09-08

Title: Tools for Handling and Scraping Instant Weather Forecast Feeds
Description: Handle instant weather forecasts and geographical information. It combines multiple sources of information to obtain instant weather forecasts.
Author: Stan Yip [aut, cre]
Maintainer: Stan Yip <stanyip101@gmail.com>

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Package jsmodule updated to version 1.1.0 with previous version 1.0.8 dated 2020-06-04

Title: 'RStudio' Addins and 'Shiny' Modules for Medical Research
Description: 'RStudio' addins and 'Shiny' modules for descriptive statistics, regression and survival analysis.
Author: Jinseob Kim [aut, cre] (<https://orcid.org/0000-0002-9403-605X>), Zarathu [cph, fnd]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>

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Package glmmfields updated to version 0.1.4 with previous version 0.1.3 dated 2019-05-18

Title: Generalized Linear Mixed Models with Robust Random Fields for Spatiotemporal Modeling
Description: Implements Bayesian spatial and spatiotemporal models that optionally allow for extreme spatial deviations through time. 'glmmfields' uses a predictive process approach with random fields implemented through a multivariate-t distribution instead of the usual multivariate normal. Sampling is conducted with 'Stan'. References: Anderson and Ward (2019) <doi:10.1002/ecy.2403>.
Author: Sean C. Anderson [aut, cre], Eric J. Ward [aut], Trustees of Columbia University [cph]
Maintainer: Sean C. Anderson <sean@seananderson.ca>

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Package future updated to version 1.18.0 with previous version 1.17.0 dated 2020-04-18

Title: Unified Parallel and Distributed Processing in R for Everyone
Description: The purpose of this package is to provide a lightweight and unified Future API for sequential and parallel processing of R expression via futures. The simplest way to evaluate an expression in parallel is to use `x %<-% { expression }` with `plan(multiprocess)`. This package implements sequential, multicore, multisession, and cluster futures. With these, R expressions can be evaluated on the local machine, in parallel a set of local machines, or distributed on a mix of local and remote machines. Extensions to this package implement additional backends for processing futures via compute cluster schedulers etc. Because of its unified API, there is no need to modify any code in order switch from sequential on the local machine to, say, distributed processing on a remote compute cluster. Another strength of this package is that global variables and functions are automatically identified and exported as needed, making it straightforward to tweak existing code to make use of futures.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

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Package chest updated to version 0.3.2 with previous version 0.3.1 dated 2020-01-29

Title: Change-in-Estimate Approach to Assess Confounding Effects
Description: Applies the change-in-effect estimate method to assess confounding effects in medical and epidemiological research (Greenland & Pearce (2016) <doi:10.1146/annurev-publhealth-031914-122559> ). It starts with a crude model including only the outcome and exposure variables. At each of the subsequent steps, one variable which creates the largest change among the remaining variables is selected. This process is repeated until all variables have been entered into the model (Wang Z (2007) <doi:10.1177/1536867X0700700203> ). Currently, the 'chest' package has functions for linear regression, logistic regression, negative binomial regression, Cox proportional hazards model and conditional logistic regression.
Author: Zhiqiang Wang [aut, cre]
Maintainer: Zhiqiang Wang <zhiqiang.wang@menzies.edu.au>

Diff between chest versions 0.3.1 dated 2020-01-29 and 0.3.2 dated 2020-07-09

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Package allestimates updated to version 0.1.7 with previous version 0.1.6 dated 2020-02-05

Title: Effect Estimates from All Models
Description: Estimates and plots effect estimates from models with all possible combinations of a list of variables. It can be used for assessing treatment effects in clinical trials or risk factors in bio-medical and epidemiological research. Like Stata command 'confall' (Wang Z (2007) <doi:10.1177/1536867X0700700203> ), 'allestimates' calculates and stores all effect estimates, and plots them against p values or Akaike information criterion (AIC) values. It currently has functions for linear regression: all_lm(), logistic and Poisson regression: all_glm() and all_speedglm(), and Cox proportional hazards regression: all_cox().
Author: Zhiqiang Wang [aut, cre]
Maintainer: Zhiqiang Wang <zhiqiang.wang@menzies.edu.au>

Diff between allestimates versions 0.1.6 dated 2020-02-05 and 0.1.7 dated 2020-07-09

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Package modgetxl updated to version 0.4 with previous version 0.3 dated 2020-06-28

Title: A 'shiny' Module for Reading Excel Sheets
Description: This is a shiny module that presents a file picker user interface to get an Excel file name, and reads the Excel sheets using 'readxl' package and returns the resulting sheet(s) as a vector and data in dataframe(s).
Author: Yadu Balehosur <yadu@vizualytics.com>
Maintainer: Yadu Balehosur <yadu@vizualytics.com>

Diff between modgetxl versions 0.3 dated 2020-06-28 and 0.4 dated 2020-07-09

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Package causact updated to version 0.3.2 with previous version 0.3.1 dated 2020-06-24

Title: Accelerated Bayesian Analytics with DAGs
Description: Accelerate Bayesian analytics workflows in 'R' through interactive modelling, visualization, and inference. Define probabilistic graphical models using directed acyclic graphs (DAGs) as a unifying language for business stakeholders, statisticians, and programmers. This package relies on the sleek and elegant 'greta' package for Bayesian inference. 'greta', in turn, is an interface into 'TensorFlow' from 'R'. Install 'greta' using instructions available here: <http://causact.com/install-greta.html>. See <http://github.com/flyaflya/causact> or <http://causact.com> for more documentation.
Author: Adam Fleischhacker [aut, cre, cph], Daniela Dapena [ctb], Rose Nguyen [ctb], Jared Sharpe [ctb]
Maintainer: Adam Fleischhacker <ajf@udel.edu>

Diff between causact versions 0.3.1 dated 2020-06-24 and 0.3.2 dated 2020-07-09

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Package dnapath (with last version 0.6.3) was removed from CRAN

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

2020-06-25 0.6.3

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Package TestCor (with last version 0.0.2.0) was removed from CRAN

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

2020-06-25 0.0.2.0
2020-01-17 0.0.1.1
2019-07-06 0.0.1.0
2019-02-08 0.0.0.9

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