Fri, 25 Sep 2020

Package starschemar updated to version 1.2.0 with previous version 1.1.0 dated 2020-09-13

Title: Obtaining Star Schemas from Flat Tables
Description: Data in multidimensional systems is obtained from operational systems and is transformed to adapt it to the new structure. Frequently, the operations to be performed aim to transform a flat table into a star schema. Transformations can be carried out using professional ETL (extract, transform and load) tools or tools intended for data transformation for end users. With the tools mentioned, this transformation can be carried out, but it requires a lot of work. The main objective this package is to define transformations that allow obtaining star schemas from flat tables easily. In addition, it includes basic data cleaning, dimension enrichment, incremental data refresh and query operations, adapted to this context.
Author: Jose Samos [aut, cre, cph] (<https://orcid.org/0000-0002-4457-3439>)
Maintainer: Jose Samos <jsamos@ugr.es>

Diff between starschemar versions 1.1.0 dated 2020-09-13 and 1.2.0 dated 2020-09-25

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Package nimbleEcology updated to version 0.3.1 with previous version 0.3.0 dated 2020-05-29

Title: Distributions for Ecological Models in 'nimble'
Description: Common ecological distributions for 'nimble' models in the form of nimbleFunction objects. Includes Cormack-Jolly-Seber, occupancy, dynamic occupancy, hidden Markov, dynamic hidden Markov, and N-mixture models. (Jolly (1965) <DOI: 10.2307/2333826>, Seber (1965) <DOI: 10.2307/2333827>, Turek et al. (2016) <doi:10.1007/s10651-016-0353-z>).
Author: Benjamin R. Goldstein [aut, cre], Daniel Turek [aut], Lauren Ponisio [aut], Perry de Valpine [aut]
Maintainer: Benjamin R. Goldstein <ben.goldstein@berkeley.edu>

Diff between nimbleEcology versions 0.3.0 dated 2020-05-29 and 0.3.1 dated 2020-09-25

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Package matrixStats updated to version 0.57.0 with previous version 0.56.0 dated 2020-03-13

Title: Functions that Apply to Rows and Columns of Matrices (and to Vectors)
Description: High-performing functions operating on rows and columns of matrices, e.g. col / rowMedians(), col / rowRanks(), and col / rowSds(). Functions optimized per data type and for subsetted calculations such that both memory usage and processing time is minimized. There are also optimized vector-based methods, e.g. binMeans(), madDiff() and weightedMedian().
Author: Henrik Bengtsson [aut, cre, cph], Hector Corrada Bravo [ctb], Robert Gentleman [ctb], Ola Hossjer [ctb], Harris Jaffee [ctb], Dongcan Jiang [ctb], Peter Langfelder [ctb], Peter Hickey [ctb], Brian Montgomery [ctb], Constantin Ahlmann-Eltze [ctb]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

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Package jrc updated to version 0.4.0 with previous version 0.3.1 dated 2020-02-07

Title: Exchange Commands Between R and 'JavaScript'
Description: An 'httpuv' based bridge between R and 'JavaScript'. Provides an easy way to exchange commands and data between a web page and a currently running R session.
Author: Svetlana Ovchinnikova [aut, cre], Simon Anders [aut]
Maintainer: Svetlana Ovchinnikova <s.ovchinnikova@zmbh.uni-heidelberg.de>

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Package discourseGT updated to version 1.1.0 with previous version 1.0.0 dated 2020-02-17

Title: Analyze Group Patterns using Graph Theory in Educational Settings
Description: Analyzes group patterns using discourse analysis data with graph theory mathematics. Takes the order of which individuals talk and converts it to a network edge and weight list. Returns the density, centrality, centralization, and subgroup information for each group. Based on the analytical framework laid out in Chai et al. (2019) <doi:10.1187/cbe.18-11-0222>.
Author: Albert Chai [aut], Andrew Lee [aut], Joshua Le [aut, cre], Katherine Ly [ctb], Kevin Banh [ctb], Priya Pahal [ctb], Stanley Lo [aut]
Maintainer: Joshua Le <jpl038@ucsd.edu>

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Package redland updated to version 1.0.17-12 with previous version 1.0.17-11 dated 2019-10-13

Title: RDF Library Bindings in R
Description: Provides methods to parse, query and serialize information stored in the Resource Description Framework (RDF). RDF is described at <https://www.w3.org/TR/rdf-primer/>. This package supports RDF by implementing an R interface to the Redland RDF C library, described at <http://librdf.org/docs/api/index.html>. In brief, RDF provides a structured graph consisting of Statements composed of Subject, Predicate, and Object Nodes.
Author: Matthew B. Jones [aut, cre], Peter Slaughter [aut], Jeroen Ooms [aut], Carl Boettiger [aut], Scott Chamberlain [aut], David Beckett [cph], University of Bristol [cph], Regents of the University of California [cph]
Maintainer: Matthew B. Jones <jones@nceas.ucsb.edu>

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Package nlist updated to version 0.3.0 with previous version 0.2.0 dated 2020-06-25

Title: Lists of Numeric Atomic Objects
Description: Create and manipulate numeric list ('nlist') objects. An 'nlist' is an S3 list of uniquely named numeric objects. An numeric object is an integer or double vector, matrix or array. An 'nlists' object is a S3 class list of 'nlist' objects with the same names, dimensionalities and typeofs. Numeric list objects are of interest because they are the raw data inputs for analytic engines such as 'JAGS', 'STAN' and 'TMB'. Numeric lists objects, which are useful for storing multiple realizations of of simulated data sets, can be converted to coda::mcmc and coda::mcmc.list objects.
Author: Joe Thorley [aut, cre] (<https://orcid.org/0000-0002-7683-4592>), Poisson Consulting [cph, fnd]
Maintainer: Joe Thorley <joe@poissonconsulting.ca>

Diff between nlist versions 0.2.0 dated 2020-06-25 and 0.3.0 dated 2020-09-25

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Package sparklyr.flint updated to version 0.2.0 with previous version 0.1.1 dated 2020-08-24

Title: Sparklyr Extension for 'Flint'
Description: This sparklyr extension makes 'Flint' time series library functionalities (<https://github.com/twosigma/flint>) easily accessible through R.
Author: Yitao Li [aut, cre] (<https://orcid.org/0000-0002-1261-905X>)
Maintainer: Yitao Li <yitao@rstudio.com>

Diff between sparklyr.flint versions 0.1.1 dated 2020-08-24 and 0.2.0 dated 2020-09-25

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Package dispRity updated to version 1.5.0 with previous version 1.4.2 dated 2020-09-04

Title: Measuring Disparity
Description: A modular package for measuring disparity (multidimensional space occupancy). Disparity can be calculated from any matrix defining a multidimensional space. The package provides a set of implemented metrics to measure properties of the space and allows users to provide and test their own metrics (Guillerme (2018) <doi:10.1111/2041-210X.13022>). The package also provides functions for looking at disparity in a serial way (e.g. disparity through time - Guillerme and Cooper (2018) <doi:10.1111/pala.12364>) or per groups as well as visualising the results. Finally, this package provides several statistical tests for disparity analysis.
Author: Thomas Guillerme [aut, cre, cph], Mark N Puttick [aut, cph]
Maintainer: Thomas Guillerme <guillert@tcd.ie>

Diff between dispRity versions 1.4.2 dated 2020-09-04 and 1.5.0 dated 2020-09-25

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Package term updated to version 0.3.0 with previous version 0.2.0 dated 2020-06-20

Title: Create, Manipulate and Query Parameter Terms
Description: Creates, manipulates, queries and repairs vectors of parameter terms. Parameter terms are the labels used to reference values in vectors, matrices and arrays. They represent the names in coefficient tables and the column names in 'mcmc' and 'mcmc.list' objects.
Author: Joe Thorley [aut, cre] (<https://orcid.org/0000-0002-7683-4592>), Kirill Müller [aut] (<https://orcid.org/0000-0002-1416-3412>), Ayla Pearson [ctb] (<https://orcid.org/0000-0001-7388-1222>), Poisson Consulting [cph, fnd]
Maintainer: Joe Thorley <joe@poissonconsulting.ca>

Diff between term versions 0.2.0 dated 2020-06-20 and 0.3.0 dated 2020-09-25

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Package mlegp updated to version 3.1.8 with previous version 3.1.7 dated 2018-04-14

Title: Maximum Likelihood Estimates of Gaussian Processes
Description: Maximum likelihood Gaussian process modeling for univariate and multi-dimensional outputs with diagnostic plots following Santner et al (2003) <doi:10.1007/978-1-4757-3799-8>. Contact the maintainer for a package version that includes sensitivity analysis.
Author: Garrett M. Dancik
Maintainer: Garrett M. Dancik <dancikg@easternct.edu>

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Package liver updated to version 1.2 with previous version 1.1 dated 2020-09-10

Title: "Eating the Liver of Data Science"
Description: Provides a collection of helper functions that make various techniques from data science more user-friendly for non-experts. In this way, our aim is to allow non-experts to become familiar with the techniques with only a minimal level of coding knowledge. Indeed, following an ancient Persian idiom, we refer to this as "eating the liver of data science" which could be interpreted as "getting intimately close with data science". Examples of procedures we include are: data partitioning for out-of-sample testing, computing Mean Squared Error (MSE) for quantifying prediction accuracy, and data transformation (z-score and min-max). Besides such helper functions, the package also includes several interesting datasets that are useful for multivariate analysis.
Author: Reza Mohammadi [aut, cre] (<https://orcid.org/0000-0001-9538-0648>), Kevin Burke [aut]
Maintainer: Reza Mohammadi <a.mohammadi@uva.nl>

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Package RRphylo updated to version 2.4.11 with previous version 2.4.7 dated 2020-07-13

Title: Phylogenetic Ridge Regression Methods for Comparative Studies
Description: Functions for phylogenetic analysis (Castiglione et al, 2018 <doi:10.1111/2041-210X.12954>). The functions perform the estimation of phenotypic evolutionary rates, identification of phenotypic evolutionary rate shifts, quantification of direction and size of evolutionary change in multivariate traits, the computation of ontogenetic shape vectors and test for morphological convergence.
Author: Pasquale Raia, Silvia Castiglione, Carmela Serio, Alessandro Mondanaro, Marina Melchionna, Mirko Di Febbraro, Antonio Profico, Francesco Carotenuto
Maintainer: Pasquale Raia <pasquale.raia@unina.it>

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Package rpact updated to version 3.0.1 with previous version 3.0.0 dated 2020-09-07

Title: Confirmatory Adaptive Clinical Trial Design and Analysis
Description: Design and analysis of confirmatory adaptive clinical trials with continuous, binary, and survival endpoints according to the methods described in the monograph by Wassmer and Brannath (2016) <doi:10.1007/978-3-319-32562-0>. This includes classical group sequential as well as multi-stage adaptive hypotheses tests that are based on the combination testing principle.
Author: Gernot Wassmer [aut], Friedrich Pahlke [aut, cre]
Maintainer: Friedrich Pahlke <friedrich.pahlke@rpact.com>

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Package r5r updated to version 0.1-1 with previous version 0.1.0 dated 2020-09-18

Title: Rapid Realistic Routing with 'R5'
Description: Rapid realistic routing on multimodal transport networks (walk, bike, public transport and car) using 'R5', the Rapid Realistic Routing on Real-world and Reimagined networks <https://github.com/conveyal/r5>. The package allows users to generate detailed routing analysis or calculate travel time matrices using seamless parallel computing on top of the R5 Java machine.
Author: Marcus Saraiva [aut] (<https://orcid.org/0000-0001-6218-2338>), Rafael H. M. Pereira [aut, cre] (<https://orcid.org/0000-0003-2125-7465>), Daniel Herszenhut [aut] (<https://orcid.org/0000-0001-8066-1105>), Carlos Kaue Vieira Braga [aut] (<https://orcid.org/0000-0002-6104-7297>), Ipea - Institue for Applied Economic Research [cph, fnd]
Maintainer: Rafael H. M. Pereira <rafa.pereira.br@gmail.com>

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Package corTest updated to version 1.0.7 with previous version 1.0.4 dated 2020-07-19

Title: Robust Tests for Equal Correlation
Description: There are 6 novel robust tests for equal correlation. They are all based on logistic regressions. The score statistic U is proportion to difference of two correlations based on different types of correlation in 6 methods. The ST1() is based on Pearson correlation. ST2() improved ST1() by using median absolute deviation. ST3() utilized type M correlation and ST4() used Spearman correlation. ST5() and ST6() used two different ways to combine ST3() and ST4(). We highly recommend ST5() according to the article titled ''New Statistical Methods for Constructing Robust Differential Correlation Networks to characterize the interactions among microRNAs'' published in Scientific Reports. Please see the reference: Yu et al. (2019) <doi:10.1038/s41598-019-40167-8>.
Author: Danyang Yu, Weiliang Qiu, Zeyu Zhang, Kimberly Glass, Jessica Su, Dawn L. DeMeo, Kelan Tantisira, Scott T. Weiss
Maintainer: Danyang Yu <dyu33@jhu.edu>

Diff between corTest versions 1.0.4 dated 2020-07-19 and 1.0.7 dated 2020-09-25

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Package noctua updated to version 1.8.1 with previous version 1.8.0 dated 2020-08-10

Title: Connect to 'AWS Athena' using R 'AWS SDK' 'paws' ('DBI' Interface)
Description: Designed to be compatible with the 'R' package 'DBI' (Database Interface) when connecting to Amazon Web Service ('AWS') Athena <https://aws.amazon.com/athena/>. To do this the 'R' 'AWS' Software Development Kit ('SDK') 'paws' <https://github.com/paws-r/paws> is used as a driver.
Author: Dyfan Jones [aut, cre]
Maintainer: Dyfan Jones <dyfan.r.jones@gmail.com>

Diff between noctua versions 1.8.0 dated 2020-08-10 and 1.8.1 dated 2020-09-25

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Package mlr3learners updated to version 0.4.0 with previous version 0.3.0 dated 2020-08-29

Title: Recommended Learners for 'mlr3'
Description: Recommended Learners for 'mlr3'. Extends 'mlr3' and 'mlr3proba' with interfaces to essential machine learning packages on CRAN. This includes, but is not limited to: (penalized) linear and logistic regression, linear and quadratic discriminant analysis, k-nearest neighbors, naive Bayes, support vector machines, and gradient boosting.
Author: Michel Lang [cre, aut] (<https://orcid.org/0000-0001-9754-0393>), Quay Au [aut] (<https://orcid.org/0000-0002-5252-8902>), Stefan Coors [aut] (<https://orcid.org/0000-0002-7465-2146>), Patrick Schratz [aut] (<https://orcid.org/0000-0003-0748-6624>)
Maintainer: Michel Lang <michellang@gmail.com>

Diff between mlr3learners versions 0.3.0 dated 2020-08-29 and 0.4.0 dated 2020-09-25

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New package txshift with initial version 0.3.4
Package: txshift
Title: Efficient Estimation of the Causal Effects of Stochastic Interventions
Version: 0.3.4
Authors@R: c( person("Nima", "Hejazi", email = "nh@nimahejazi.org", role = c("aut", "cre", "cph"), comment = c(ORCID = "0000-0002-7127-2789")), person("David", "Benkeser", email = "benkeser@emory.edu", role = "aut", comment = c(ORCID = "0000-0002-1019-8343")), person("Iván", "Díaz", email = "ild2005@med.cornell.edu", role = "ctb", comment = c(ORCID = "0000-0001-9056-2047")), person("Jeremy", "Coyle", email = "jeremy.coyle@gmail.com", role = "ctb", comment = c(ORCID = "0000-0002-9874-6649")), person("Mark", "van der Laan", email = "laan@berkeley.edu", role = c("ctb", "ths"), comment = c(ORCID = "0000-0003-1432-5511")) )
Maintainer: Nima Hejazi <nh@nimahejazi.org>
Description: Efficient estimation of the population-level causal effects of stochastic interventions on a continuous-valued exposure. Both one-step and targeted minimum loss estimators are implemented for a causal parameter defined as the counterfactual mean of an outcome of interest under a stochastic intervention that may depend on the natural value of the exposure (i.e., a modified treatment policy). To accommodate settings in which two-phase sampling is employed, procedures for making use of inverse probability of censoring weights are provided to facilitate construction of inefficient and efficient one-step and targeted minimum loss estimators. The causal parameter and estimation methodology were first described by Díaz and van der Laan (2013) <doi:10.1111/j.1541-0420.2011.01685.x>). Estimation of nuisance parameters may be enhanced through the Super Learner ensemble model in 'sl3', available for download from GitHub using 'remotes::install_github("tlverse/sl3")'.
Depends: R (>= 3.2.0)
Imports: stats, stringr, data.table, assertthat, mvtnorm, hal9001 (>= 0.2.6), haldensify (>= 0.0.6), lspline, ggplot2, tibble, latex2exp, Rdpack
Suggests: testthat, knitr, rmarkdown, covr, future, future.apply, origami (>= 1.0.3), ranger, Rsolnp, nnls, rlang
Enhances: sl3 (>= 1.3.7)
License: MIT + file LICENSE
URL: https://github.com/nhejazi/txshift
BugReports: https://github.com/nhejazi/txshift/issues
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 7.1.1
RdMacros: Rdpack
NeedsCompilation: no
Packaged: 2020-09-23 22:29:09 UTC; nsh
Author: Nima Hejazi [aut, cre, cph] (<https://orcid.org/0000-0002-7127-2789>), David Benkeser [aut] (<https://orcid.org/0000-0002-1019-8343>), Iván Díaz [ctb] (<https://orcid.org/0000-0001-9056-2047>), Jeremy Coyle [ctb] (<https://orcid.org/0000-0002-9874-6649>), Mark van der Laan [ctb, ths] (<https://orcid.org/0000-0003-1432-5511>)
Repository: CRAN
Date/Publication: 2020-09-25 13:50:02 UTC

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Package tufte updated to version 0.7 with previous version 0.6 dated 2020-05-08

Title: Tufte's Styles for R Markdown Documents
Description: Provides R Markdown output formats to use Tufte styles for PDF and HTML output.
Author: Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>), JJ Allaire [aut], Andrzej Oles [ctb], Dave Liepmann [ctb] (Tufte CSS in inst/rmarkdown/templates/tufte_html/resources), RStudio, PBC [cph]
Maintainer: Yihui Xie <xie@yihui.name>

Diff between tufte versions 0.6 dated 2020-05-08 and 0.7 dated 2020-09-25

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Package survPen updated to version 1.5.1 with previous version 1.5.0 dated 2020-05-25

Title: Multidimensional Penalized Splines for Survival and Net Survival Models
Description: Fits hazard and excess hazard models with multidimensional penalized splines allowing for time-dependent effects, non-linear effects and interactions between several continuous covariates. In survival and net survival analysis, in addition to modelling the effect of time (via the baseline hazard), one has often to deal with several continuous covariates and model their functional forms, their time-dependent effects, and their interactions. Model specification becomes therefore a complex problem and penalized regression splines represent an appealing solution to that problem as splines offer the required flexibility while penalization limits overfitting issues. Current implementations of penalized survival models can be slow or unstable and sometimes lack some key features like taking into account expected mortality to provide net survival and excess hazard estimates. In contrast, survPen provides an automated, fast, and stable implementation (thanks to explicit calculation of the derivatives of the likelihood) and offers a unified framework for multidimensional penalized hazard and excess hazard models. survPen may be of interest to those who 1) analyse any kind of time-to-event data: mortality, disease relapse, machinery breakdown, unemployment, etc 2) wish to describe the associated hazard and to understand which predictors impact its dynamics. See Fauvernier et al. (2019a) <doi:10.21105/joss.01434> for an overview of the package and Fauvernier et al. (2019b) <doi:10.1111/rssc.12368> for the method.
Author: Mathieu Fauvernier [aut, cre], Laurent Roche [aut], Laurent Remontet [aut], Zoe Uhry [ctb], Nadine Bossard [ctb]
Maintainer: Mathieu Fauvernier <mathieu.fauvernier@gmail.com>

Diff between survPen versions 1.5.0 dated 2020-05-25 and 1.5.1 dated 2020-09-25

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New package SC2API with initial version 1.0.0
Package: SC2API
Title: Blizzard SC2 API Wrapper
Version: 1.0.0
Authors@R: person('Samuel', 'Morrissette', email = 'samuel.morrissette01@gmail.com', role = c('cre', 'aut'))
Description: A wrapper for Blizzard's Starcraft II (a 2010 real-time strategy game) Application Programming Interface (API). All documented API calls are implemented in an easy-to-use and consistent manner.
License: MIT + file LICENSE
LazyData: true
Encoding: UTF-8
Imports: data.table, httr, jsonlite
Suggests: rmarkdown, knitr, httptest, ggplot2, testthat
VignetteBuilder: knitr
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-23 14:31:27 UTC; Sam
Author: Samuel Morrissette [cre, aut]
Maintainer: Samuel Morrissette <samuel.morrissette01@gmail.com>
Repository: CRAN
Date/Publication: 2020-09-25 13:20:06 UTC

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New package rct3 with initial version 1.0.4
Package: rct3
Version: 1.0.4
Date: 2020-09-17
Title: Predict Fish Year-Class Strength from Survey Data
Authors@R: c( person("Colin", "Millar", role = c("aut", "cre"), email="colin.millar@ices.dk"), person("Marc", "Taylor", role = "aut") )
LazyData: yes
Description: Predict fish year-class strength by calibration regression analysis of multiple recruitment index series.
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-23 14:02:32 UTC; colin
Author: Colin Millar [aut, cre], Marc Taylor [aut]
Maintainer: Colin Millar <colin.millar@ices.dk>
Repository: CRAN
Date/Publication: 2020-09-25 13:10:02 UTC

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New package o2geosocial with initial version 1.0.1
Package: o2geosocial
Type: Package
Title: Reconstruction of Transmission Chains from Surveillance Data
Version: 1.0.1
URL: https://github.com/alxsrobert/o2geosocial
Encoding: UTF-8
Authors@R: c(person("Alexis", "Robert", email = "alexis.robert@lshtm.ac.uk", role = c("aut", "cre", "cph"), comment = c(ORCID = "0000-0002-4516-2965")), person("Sebastian", "Funk", email = "sebastian.funk@lshtm.ac.uk", role = c("aut"), comment = c(ORCID = "0000-0002-2842-3406")), person("Adam J", "Kucharski", email = "adam.kucharski@lshtm.ac.uk", role = c("aut"), comment = c(ORCID = "0000-0001-8814-9421")), person("Thibaut", "Jombart", role = c("ctb")))
Maintainer: Alexis Robert <alexis.robert@lshtm.ac.uk>
Description: Bayesian reconstruction of who infected whom during past outbreaks using routinely-collected surveillance data. Inference of transmission trees using genotype, age specific social contacts, distance between cases and onset dates of the reported cases. (Robert A, Kucharski AJ, Gastanaduy PA, Paul P, Funk S. 2020 <doi:10.1098/rsif.2020.0084>).
License: MIT + file LICENSE
Imports: Rcpp, methods, stats, grDevices, geosphere, ggplot2, visNetwork, data.table, outbreaker2
LazyData: true
Depends: R(>= 3.5.0)
LinkingTo: Rcpp
RoxygenNote: 7.1.1
Suggests: testthat, tigris, sf, knitr, socialmixr, rmarkdown
VignetteBuilder: knitr
BugReports: https://github.com/alxsrobert/o2geosocial/issues
NeedsCompilation: yes
Packaged: 2020-09-23 21:20:59 UTC; Alexis Robert
Author: Alexis Robert [aut, cre, cph] (<https://orcid.org/0000-0002-4516-2965>), Sebastian Funk [aut] (<https://orcid.org/0000-0002-2842-3406>), Adam J Kucharski [aut] (<https://orcid.org/0000-0001-8814-9421>), Thibaut Jombart [ctb]
Repository: CRAN
Date/Publication: 2020-09-25 13:40:02 UTC

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Package mlr3viz updated to version 0.3.0 with previous version 0.2.0 dated 2020-08-07

Title: Visualizations for 'mlr3'
Description: Provides visualizations for 'mlr3' objects such as tasks, predictions, resample results or benchmark results via the autoplot() generic of 'ggplot2'. The returned 'ggplot' objects are intended to provide sensible defaults, yet can easily be customized to create camera-ready figures. Visualizations include barplots, boxplots, histograms, ROC curves, and Precision-Recall curves.
Author: Michel Lang [cre, aut] (<https://orcid.org/0000-0001-9754-0393>), Patrick Schratz [aut] (<https://orcid.org/0000-0003-0748-6624>), Raphael Sonabend [aut] (<https://orcid.org/0000-0001-9225-4654>)
Maintainer: Michel Lang <michellang@gmail.com>

Diff between mlr3viz versions 0.2.0 dated 2020-08-07 and 0.3.0 dated 2020-09-25

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New package metabolic with initial version 0.1.0
Package: metabolic
Title: Datasets and Functions for Reproducing Meta-Analyses
Version: 0.1.0
Authors@R: person(given = "Felipe", family = "Mattioni Maturana", role = c("aut", "cre", "cph"), email = "felipe.mattioni@med.uni-tuebingen.de", comment = c(ORCID = "0000-0002-4221-6104"))
Description: Dataset and functions from the meta-analysis published in Medicine & Science in Sports & Exercise. It contains all the data and functions to reproduce the analysis. "Effectiveness of HIIE versus MICT in Improving Cardiometabolic Risk Factors in Health and Disease: A Meta-analysis". Felipe Mattioni Maturana, Peter Martus, Stephan Zipfel, Andreas M Nieß (2020) <doi:10.1249/MSS.0000000000002506>.
License: CC0
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
URL: https://github.com/fmmattioni/metabolic
BugReports: https://github.com/fmmattioni/metabolic/issues
Imports: tibble, magrittr, usethis, dplyr (>= 1.0.0), ggplot2 (>= 3.2.1), ggfittext, cli (>= 2.0.1), forcats, ggimage, patchwork (>= 1.0.0), scales, stringr, tidyr (>= 1.0.2), purrr, meta (>= 4.11-0), glue, rmarkdown
Depends: R (>= 3.2)
Suggests: knitr, here, Rd2roxygen, kableExtra, fansi, downloadthis (>= 0.2.0), spelling
Language: en-US
NeedsCompilation: no
Packaged: 2020-09-23 21:07:25 UTC; fmattioni
Author: Felipe Mattioni Maturana [aut, cre, cph] (<https://orcid.org/0000-0002-4221-6104>)
Maintainer: Felipe Mattioni Maturana <felipe.mattioni@med.uni-tuebingen.de>
Repository: CRAN
Date/Publication: 2020-09-25 13:40:09 UTC

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Package influential updated to version 2.0.0 with previous version 1.1.2 dated 2020-06-26

Title: Identification and Classification of the Most Influential Nodes
Description: Contains functions for the classification and ranking of top candidate features, reconstruction of networks from adjacency matrices and data frames, analysis of the topology of the network and calculation of centrality measures, and identification of the most influential nodes. Also, a function is provided for running SIRIR model, which is the combination of leave-one-out cross validation technique and the conventional SIR model, on a network to unsupervisedly rank the true influence of vertices. Additionally, some functions have been provided for the assessment of dependence and correlation of two network centrality measures as well as the conditional probability of deviation from their corresponding means in opposite direction. Fred Viole and David Nawrocki (2013, ISBN:1490523995). Csardi G, Nepusz T (2006). "The igraph software package for complex network research." InterJournal, Complex Systems, 1695. Adopted algorithms and sources are referenced in function document.
Author: Adrian (Abbas) Salavaty [aut, cre], Mirana Ramialison [ths], Peter D. Currie [ths]
Maintainer: Adrian Salavaty <abbas.salavaty@gmail.com>

Diff between influential versions 1.1.2 dated 2020-06-26 and 2.0.0 dated 2020-09-25

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Package ImpactEffectsize updated to version 0.6.1 with previous version 0.6.0 dated 2020-07-18

Title: Calculation and Visualization of the Impact Effect Size Measure
Description: A non-parametric effect size measure capturing changes in central tendency or shape of data distributions. The package provides the necessary functions to calculate and plot the Impact effect size measure between two groups.
Author: Jorn Lotsch[aut,cre], Alfred Ultsch[aut]
Maintainer: Jorn Lotsch <j.loetsch@em.uni-frankfurt.de>

Diff between ImpactEffectsize versions 0.6.0 dated 2020-07-18 and 0.6.1 dated 2020-09-25

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Package ftsa updated to version 5.9 with previous version 5.8 dated 2020-06-15

Title: Functional Time Series Analysis
Description: Functions for visualizing, modeling, forecasting and hypothesis testing of functional time series.
Author: Rob Hyndman [aut] (<https://orcid.org/0000-0002-2140-5352>), Han Lin Shang [aut, cre, cph] (<https://orcid.org/0000-0003-1769-6430>)
Maintainer: Han Lin Shang <hanlin.shang@mq.edu.au>

Diff between ftsa versions 5.8 dated 2020-06-15 and 5.9 dated 2020-09-25

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New package befproj with initial version 0.1.1
Package: befproj
Type: Package
Title: Makes a Local Population Projection
Version: 0.1.1
Author: Peter Thuresson <jpeter.thuresson@gmail.com>
Maintainer: Peter Thuresson <jpeter.thuresson@gmail.com>
Description: This is a sub national population projection model for calculating population development. The model uses a cohort component method. Further reading: Stanley K. Smith: A Practitioner's Guide to State and Local Population Projections. 2013. <doi:10.1007/978-94-007-7551-0>.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Imports: dplyr (>= 0.8.5)
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2020-09-23 15:34:40 UTC; prota
Repository: CRAN
Date/Publication: 2020-09-25 13:40:12 UTC

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New package albatross with initial version 0.1-1
Package: albatross
Type: Package
Title: PARAFAC Analysis of Fluorescence Excitation-Emission Matrices
Version: 0.1-1
Date: 2020-09-16
Authors@R: c(person('Timur', 'Labutin', role = 'aut'), person('Ivan', 'Krylov', role = 'cre', email = 'ikrylov@laser.chem.msu.ru'))
Depends: R (>= 2.10)
Imports: multiway (>= 1.0-4), pracma, lattice
Description: Perform parallel factor analysis (PARAFAC: Harshman, 2005) <doi:10.1121/1.1977523>) on fluorescence excitation-emission matrices (FEEMs): handle scattering signal (Bahram, 2007) <doi:10.1002/cem.978> and inner filter effect (Kothawala, 2013) <doi:10.4319/lom.2013.11.616>, scale the dataset, fit the model; perform split-half validation (DeSarbo, 1984) <https://papers.ssrn.com/abstract=2783446> or jack-knifing (Riu, 2003) <doi:10.1016/S0169-7439(02)00090-4>. The package has a low dependency footprint (only two direct dependencies not in core or recommended; four total non-core/recommended dependencies) and has been tested on a wide range of R versions (including R as old as 3.3.3 from Debian Stretch).
License: GPL (>= 3)
NeedsCompilation: no
Packaged: 2020-09-23 14:22:54 UTC; nobody
Author: Timur Labutin [aut], Ivan Krylov [cre]
Maintainer: Ivan Krylov <ikrylov@laser.chem.msu.ru>
Repository: CRAN
Date/Publication: 2020-09-25 14:00:14 UTC

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New package miRecSurv with initial version 0.0.1
Package: miRecSurv
Type: Package
Title: Left-Censored Recurrent Events Survival Models
Version: 0.0.1
Authors@R: c(person(given = "David", family = "Moriña", role = c("aut", "cre"), email = "dmorina@ub.edu", comment = c(ORCID = "0000-0001-5949-7443")), person(given = "Gilma", family = "Hernández-Herrera", role = c("aut"), email = "gilmah@yahoo.com"), person(given = "Albert", family = "Navarro", role = c("aut"), email = "albert.navarro@uab.cat"))
Maintainer: David Moriña <dmorina@ub.edu>
Description: Fitting recurrent events survival models for left-censored data with multiple imputation of the number of previous episodes. See Hernández-Herrera G, Moriña D, Navarro A. (2020) <arXiv:2007.15031>.
Depends: R (>= 3.5.0), COMPoissonReg, matrixStats, survival, stringi
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2020-09-23 09:01:13 UTC; dmorina
Author: David Moriña [aut, cre] (<https://orcid.org/0000-0001-5949-7443>), Gilma Hernández-Herrera [aut], Albert Navarro [aut]
Repository: CRAN
Date/Publication: 2020-09-25 12:50:02 UTC

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New package r2mlm with initial version 0.1.0
Package: r2mlm
Type: Package
Title: R-Squared Measures for Multilevel Models
Version: 0.1.0
Authors@R: c( person("Mairead", "Shaw", email = "mairead.shaw@mail.mcgill.ca", role = c("aut", "cre")), person("Jason", "Rights", email = "jrights@psych.ubc.ca", role = "aut"), person("Sonya", "Sterba", email = "sonya.sterba@vanderbilt.edu", role = "aut"), person("Jessica", "Flake", email = "jessica.flake@mcgill.ca", role = "aut"))
Maintainer: Mairead Shaw <mairead.shaw@mail.mcgill.ca>
Description: Generates both total- and level-specific R-squared measures from Rights and Sterba’s (2019) <doi:10.1037/met0000184> framework of R-squared measures for multilevel models with random intercepts and/or slopes, which is based on a completely full decomposition of variance. Additionally generates graphical representations of these R-squared measures to allow visualizing and interpreting all measures in the framework together as an integrated set. This framework subsumes 10 previously-developed R-squared measures for multilevel models as special cases of 5 measures from the framework, and it also includes several newly-developed measures. Measures in the framework can be used to compute R-squared differences when comparing multilevel models (following procedures in Rights & Sterba (2020) <doi:10.1080/00273171.2019.1660605>).
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: dplyr (>= 0.8.5), magrittr (>= 1.5), rlang (>= 0.4.6), stringr (>= 1.4.0), tidyselect (>= 1.0.0)
Depends: lme4 (>= 1.1.23), nlme (>= 3.1.14), R (>= 3.2.0)
RoxygenNote: 7.1.0
Suggests: testthat, Matrix
URL: https://github.com/mkshaw/r2mlm
BugReports: https://github.com/mkshaw/r2mlm/issues
NeedsCompilation: no
Packaged: 2020-09-23 05:22:34 UTC; maireadshaw
Author: Mairead Shaw [aut, cre], Jason Rights [aut], Sonya Sterba [aut], Jessica Flake [aut]
Repository: CRAN
Date/Publication: 2020-09-25 12:00:03 UTC

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Package httk updated to version 2.0.3 with previous version 2.0.2 dated 2020-07-19

Title: High-Throughput Toxicokinetics
Description: Generic models and chemical-specific data for simulation and statistical analysis of chemical toxicokinetics ("TK") as described by Pearce et al. (2017) <doi:10.18637/jss.v079.i04>. Chemical-specific in vitro data have been obtained from relatively high throughput experiments. Both physiologically-based ("PBTK") and empirical (for example, one compartment) "TK" models can be parameterized with the data provided for thousands of chemicals, multiple exposure routes, and various species. The models consist of systems of ordinary differential equations which are solved using compiled (C-based) code for speed. A Monte Carlo sampler is included, which allows for simulating human biological variability (Ring et al., 2017 <doi:10.1016/j.envint.2017.06.004>) and propagating parameter uncertainty. Calibrated methods are included for predicting tissue:plasma partition coefficients and volume of distribution (Pearce et al., 2017 <doi:10.1007/s10928-017-9548-7>). These functions and data provide a set of tools for in vitro-in vivo extrapolation ("IVIVE") of high throughput screening data (for example, Tox21, ToxCast) to real-world exposures via reverse dosimetry (also known as "RTK") (Wetmore et al., 2015 <doi:10.1093/toxsci/kfv171>).
Author: John Wambaugh [aut, cre] (<https://orcid.org/0000-0002-4024-534X>), Robert Pearce [aut] (<https://orcid.org/0000-0003-3168-4049>), Caroline Ring [aut] (<https://orcid.org/0000-0002-0463-1251>), Greg Honda [aut] (<https://orcid.org/0000-0001-7713-9850>), Mark Sfeir [aut], Matt Linakis [aut] (<https://orcid.org/0000-0003-0526-2395>), Jimena Davis [ctb], James Sluka [ctb] (<https://orcid.org/0000-0002-5901-1404>), Nisha Sipes [ctb] (<https://orcid.org/0000-0003-4203-6426>), Barbara Wetmore [ctb] (<https://orcid.org/0000-0002-6878-5348>), Woodrow Setzer [ctb] (<https://orcid.org/0000-0002-6709-9186>)
Maintainer: John Wambaugh <wambaugh.john@epa.gov>

Diff between httk versions 2.0.2 dated 2020-07-19 and 2.0.3 dated 2020-09-25

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More information about httk at CRAN
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Package shinyMonacoEditor updated to version 1.0.0 with previous version 0.1.0 dated 2020-09-09

Title: The 'Monaco' Editor in 'Shiny'
Description: A 'Shiny' app including the 'Monaco' editor. The 'Monaco' editor is the code editor which powers 'VS Code'. It is particularly well developed for 'JavaScript'. In addition to the 'Monaco' editor features, the app provides prettifiers and minifiers for multiple languages, 'SCSS' and 'TypeScript' compilers, code checking for 'C' and 'C++' (requires 'cppcheck').
Author: Stéphane Laurent [aut, cre], Microsoft Corporation [ctb, cph] (Monaco Editor), Brijesh Brittu [ctb, cph] (monaco-ace-tokenizer), James Long and contributors [ctb, cph] (Prettier), Leandro Vital [ctb, cph] (Bootstrap Flash Alert), Daniel Eden [ctb, cph] (animate.css), Adam Schwartz [ctb, cph] (chrome-tabs), David DeSandro [ctb, cph] (Draggabilly), JakubPawlowicz.com [ctb, cph] (clean-css), Mihai Bazon [ctb, cph] (terser), Juriy "kangax" Zaytsev [ctb, cph] (HTMLMinifier), Rodney Rehm [ctb, cph] (Sass.js), Rich Harris [ctb, cph] (svg-parser), Lionel Tzatzkin [ctb, cph] (scale-that-svg), Andrei Kashcha [ctb, cph] (panzoom), Vitaly Puzrin [ctb, cph] (markdown-it), Alex Kocharin [ctb, cph] (markdown-it), John Schlinkert [ctb, cph] (word-wrap), Terence Eden [ctb, cph] (SuperTinyIcons), www.jeasyui.com [ctb, cph] (EasyUI)
Maintainer: Stéphane Laurent <laurent_step@outlook.fr>

Diff between shinyMonacoEditor versions 0.1.0 dated 2020-09-09 and 1.0.0 dated 2020-09-25

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Permanent link

New package shattering with initial version 1.0
Package: shattering
Title: Estimate the Shattering Coefficient for a Particular Dataset
Version: 1.0
Authors@R: person(given = "Rodrigo", family = "F. de Mello", role = c("aut", "cre"), email = "mello@icmc.usp.br", comment = c(ORCID = "0000-0002-0435-3992"))
Description: The Statistical Learning Theory (SLT) provides the theoretical background to ensure that a supervised algorithm generalizes the mapping f:X -> Y given f is selected from its search space bias F. This formal result depends on the Shattering coefficient function N(F,2n) to upper bound the empirical risk minimization principle, from which one can estimate the necessary training sample size to ensure the probabilistic learning convergence and, most importantly, the characterization of the capacity of F, including its under and overfitting abilities while addressing specific target problems. In this context, we propose a new approach to estimate the maximal number of hyperplanes required to shatter a given sample, i.e., to separate every pair of points from one another, based on the recent contributions by Har-Peled and Jones in the dataset partitioning scenario, and use such foundation to analytically compute the Shattering coefficient function for both binary and multi-class problems. As main contributions, one can use our approach to study the complexity of the search space bias F, estimate training sample sizes, and parametrize the number of hyperplanes a learning algorithm needs to address some supervised task, what is specially appealing to deep neural networks. Reference: de Mello, R.F. (2019) "On the Shattering Coefficient of Supervised Learning Algorithms" <arXiv:1911.05461>; de Mello, R.F., Ponti, M.A. (2018, ISBN: 978-3319949888) "Machine Learning: A Practical Approach on the Statistical Learning Theory".
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1.9000
Imports: FNN, pdist, Matrix
Suggests: testthat
NeedsCompilation: no
Packaged: 2020-09-21 13:46:39 UTC; mello
Author: Rodrigo F. de Mello [aut, cre] (<https://orcid.org/0000-0002-0435-3992>)
Maintainer: Rodrigo F. de Mello <mello@icmc.usp.br>
Repository: CRAN
Date/Publication: 2020-09-25 09:10:03 UTC

More information about shattering at CRAN
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New package rjqpd with initial version 0.2.3
Package: rjqpd
Type: Package
Title: The Johnson Quantile-Parameterised Distribution
Version: 0.2.3
Authors@R: person("Bobby", "Ingram", email = "ingram.bob@gmail.com", role = c("aut", "cre"))
Maintainer: Bobby Ingram <ingram.bob@gmail.com>
Description: Implementation of the Johnson Quantile-Parameterised Distribution in R. The Johnson Quantile-Parameterised Distribution (J-QPD) is a flexible distribution system that is parameterised by a symmetric percentile triplet of quantile values (typically the 10th-50th-90th) along with known support bounds for the distribution. The J-QPD system was developed by Hadlock and Bickel (2017) <doi:10.1287/deca.2016.0343>. This package implements the density, quantile, CDF and random number generator functions.
Suggests: devtools, knitr, rmarkdown, testthat
URL: https://github.com/bobbyingram/rjqpd
BugReports: https://github.com/bobbyingram/rjqpd/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-21 19:22:20 UTC; BobbyIngram
Author: Bobby Ingram [aut, cre]
Repository: CRAN
Date/Publication: 2020-09-25 09:20:06 UTC

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Package qtlcharts updated to version 0.12-10 with previous version 0.11-6 dated 2019-02-05

Title: Interactive Graphics for QTL Experiments
Description: Web-based interactive charts (using D3.js) for the analysis of experimental crosses to identify genetic loci (quantitative trait loci, QTL) contributing to variation in quantitative traits. Broman (2015) <doi:10.1534/genetics.114.172742>.
Author: Karl W Broman [aut, cre] (<https://orcid.org/0000-0002-4914-6671>), Michael Bostock [ctb, cph] (d3.js library in htmlwidgets/lib, https://d3js.org), jQuery Foundation [cph] (jQuery library in htmlwidgets/lib, https://jquery.com), jQuery contributors [ctb] (jQuery library in htmlwidgets/lib; see https://github.com/jquery/jquery/blob/master/AUTHORS.txt), jQuery UI contributors [ctb] (jQuery UI library in htmlwidgets/lib; see https://jqueryui.com/about/)
Maintainer: Karl W Broman <broman@wisc.edu>

Diff between qtlcharts versions 0.11-6 dated 2019-02-05 and 0.12-10 dated 2020-09-25

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 qtlcharts-0.12-10/qtlcharts/DESCRIPTION                                                                            |   38 -
 qtlcharts-0.12-10/qtlcharts/LICENSE                                                                                |   78 --
 qtlcharts-0.12-10/qtlcharts/MD5                                                                                    |  311 ++++------
 qtlcharts-0.12-10/qtlcharts/NEWS.md                                                                                |   50 +
 qtlcharts-0.12-10/qtlcharts/R/convert4crosstab.R                                                                   |   24 
 qtlcharts-0.12-10/qtlcharts/R/convert_pxg.R                                                                        |   20 
 qtlcharts-0.12-10/qtlcharts/R/estQTLeffects.R                                                                      |   32 -
 qtlcharts-0.12-10/qtlcharts/R/geneExpr-data.R                                                                      |    4 
 qtlcharts-0.12-10/qtlcharts/R/grav-data.R                                                                          |    6 
 qtlcharts-0.12-10/qtlcharts/R/iboxplot.R                                                                           |    6 
 qtlcharts-0.12-10/qtlcharts/R/idotplot.R                                                                           |    4 
 qtlcharts-0.12-10/qtlcharts/R/iheatmap.R                                                                           |   10 
 qtlcharts-0.12-10/qtlcharts/R/ipleiotropy.R                                                                        |   30 
 qtlcharts-0.12-10/qtlcharts/R/iplot.R                                                                              |    6 
 qtlcharts-0.12-10/qtlcharts/R/iplotCorr.R                                                                          |   26 
 qtlcharts-0.12-10/qtlcharts/R/iplotCurves.R                                                                        |    4 
 qtlcharts-0.12-10/qtlcharts/R/iplotMScanone.R                                                                      |   31 
 qtlcharts-0.12-10/qtlcharts/R/iplotMap.R                                                                           |   12 
 qtlcharts-0.12-10/qtlcharts/R/iplotPXG.R                                                                           |   22 
 qtlcharts-0.12-10/qtlcharts/R/iplotRF.R                                                                            |   24 
 qtlcharts-0.12-10/qtlcharts/R/iplotScanone.R                                                                       |   36 -
 qtlcharts-0.12-10/qtlcharts/R/iplotScantwo.R                                                                       |   46 -
 qtlcharts-0.12-10/qtlcharts/R/itriplot.R                                                                           |    8 
 qtlcharts-0.12-10/qtlcharts/R/qtlcharts.R                                                                          |   30 
 qtlcharts-0.12-10/qtlcharts/R/scat2scat.R                                                                          |   10 
 qtlcharts-0.12-10/qtlcharts/R/setScreenSize.R                                                                      |    4 
 qtlcharts-0.12-10/qtlcharts/R/util.R                                                                               |   20 
 qtlcharts-0.12-10/qtlcharts/README.md                                                                              |   26 
 qtlcharts-0.12-10/qtlcharts/data/geneExpr.rda                                                                      |binary
 qtlcharts-0.12-10/qtlcharts/data/grav.rda                                                                          |binary
 qtlcharts-0.12-10/qtlcharts/inst/CITATION                                                                          |    6 
 qtlcharts-0.12-10/qtlcharts/inst/LICENSE                                                                           |   78 --
 qtlcharts-0.12-10/qtlcharts/inst/htmlwidgets/iboxplot.coffee                                                       |    2 
 qtlcharts-0.12-10/qtlcharts/inst/htmlwidgets/iboxplot.js                                                           |    8 
 qtlcharts-0.12-10/qtlcharts/inst/htmlwidgets/iboxplot.yaml                                                         |   11 
 qtlcharts-0.12-10/qtlcharts/inst/htmlwidgets/idotplot.coffee                                                       |    2 
 qtlcharts-0.12-10/qtlcharts/inst/htmlwidgets/idotplot.js                                                           |    8 
 qtlcharts-0.12-10/qtlcharts/inst/htmlwidgets/idotplot.yaml                                                         |   17 
 qtlcharts-0.12-10/qtlcharts/inst/htmlwidgets/iheatmap.coffee                                                       |    2 
 qtlcharts-0.12-10/qtlcharts/inst/htmlwidgets/iheatmap.js                                                           |    8 
 qtlcharts-0.12-10/qtlcharts/inst/htmlwidgets/iheatmap.yaml                                                         |   11 
 qtlcharts-0.12-10/qtlcharts/inst/htmlwidgets/ipleiotropy.coffee                                                    |    2 
 qtlcharts-0.12-10/qtlcharts/inst/htmlwidgets/ipleiotropy.js                                                        |    8 
 qtlcharts-0.12-10/qtlcharts/inst/htmlwidgets/ipleiotropy.yaml                                                      |   17 
 qtlcharts-0.12-10/qtlcharts/inst/htmlwidgets/iplot.coffee                                                          |    2 
 qtlcharts-0.12-10/qtlcharts/inst/htmlwidgets/iplot.js                                                              |    8 
 qtlcharts-0.12-10/qtlcharts/inst/htmlwidgets/iplot.yaml                                                            |   17 
 qtlcharts-0.12-10/qtlcharts/inst/htmlwidgets/iplotCorr.coffee                                                      |    2 
 qtlcharts-0.12-10/qtlcharts/inst/htmlwidgets/iplotCorr.js                                                          |   14 
 qtlcharts-0.12-10/qtlcharts/inst/htmlwidgets/iplotCorr.yaml                                                        |   11 
 qtlcharts-0.12-10/qtlcharts/inst/htmlwidgets/iplotCurves.coffee                                                    |    2 
 qtlcharts-0.12-10/qtlcharts/inst/htmlwidgets/iplotCurves.js                                                        |    8 
 qtlcharts-0.12-10/qtlcharts/inst/htmlwidgets/iplotCurves.yaml                                                      |   17 
 qtlcharts-0.12-10/qtlcharts/inst/htmlwidgets/iplotMScanone.coffee                                                  |    2 
 qtlcharts-0.12-10/qtlcharts/inst/htmlwidgets/iplotMScanone.js                                                      |    9 
 qtlcharts-0.12-10/qtlcharts/inst/htmlwidgets/iplotMScanone.yaml                                                    |   17 
 qtlcharts-0.12-10/qtlcharts/inst/htmlwidgets/iplotMap.coffee                                                       |    2 
 qtlcharts-0.12-10/qtlcharts/inst/htmlwidgets/iplotMap.js                                                           |    8 
 qtlcharts-0.12-10/qtlcharts/inst/htmlwidgets/iplotMap.yaml                                                         |   13 
 qtlcharts-0.12-10/qtlcharts/inst/htmlwidgets/iplotRF.coffee                                                        |    2 
 qtlcharts-0.12-10/qtlcharts/inst/htmlwidgets/iplotRF.js                                                            |    8 
 qtlcharts-0.12-10/qtlcharts/inst/htmlwidgets/iplotRF.yaml                                                          |   11 
 qtlcharts-0.12-10/qtlcharts/inst/htmlwidgets/iplotScanone.coffee                                                   |    2 
 qtlcharts-0.12-10/qtlcharts/inst/htmlwidgets/iplotScanone.js                                                       |    9 
 qtlcharts-0.12-10/qtlcharts/inst/htmlwidgets/iplotScanone.yaml                                                     |   11 
 qtlcharts-0.12-10/qtlcharts/inst/htmlwidgets/iplotScantwo.coffee                                                   |    2 
 qtlcharts-0.12-10/qtlcharts/inst/htmlwidgets/iplotScantwo.js                                                       |   10 
 qtlcharts-0.12-10/qtlcharts/inst/htmlwidgets/iplotScantwo.yaml                                                     |   17 
 qtlcharts-0.12-10/qtlcharts/inst/htmlwidgets/itriplot.coffee                                                       |    2 
 qtlcharts-0.12-10/qtlcharts/inst/htmlwidgets/itriplot.js                                                           |    8 
 qtlcharts-0.12-10/qtlcharts/inst/htmlwidgets/itriplot.yaml                                                         |   17 
 qtlcharts-0.12-10/qtlcharts/inst/htmlwidgets/lib/d3/d3.min.js                                                      |    4 
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 qtlcharts-0.12-10/qtlcharts/inst/htmlwidgets/lib/qtlcharts/iplotMap.coffee                                         |   31 
 qtlcharts-0.12-10/qtlcharts/inst/htmlwidgets/lib/qtlcharts/iplotMap.js                                             |   99 +--
 qtlcharts-0.12-10/qtlcharts/inst/htmlwidgets/lib/qtlcharts/iplotRF.coffee                                          |    3 
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 qtlcharts-0.12-10/qtlcharts/inst/htmlwidgets/lib/qtlcharts/iplotScanone_ci.coffee                                  |    2 
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 qtlcharts-0.12-10/qtlcharts/inst/htmlwidgets/lib/qtlcharts/itriplot.js                                             |   45 +
 qtlcharts-0.12-10/qtlcharts/inst/htmlwidgets/package.json                                                          |    6 
 qtlcharts-0.12-10/qtlcharts/inst/htmlwidgets/scat2scat.coffee                                                      |    2 
 qtlcharts-0.12-10/qtlcharts/inst/htmlwidgets/scat2scat.js                                                          |    8 
 qtlcharts-0.12-10/qtlcharts/inst/htmlwidgets/scat2scat.yaml                                                        |   17 
 qtlcharts-0.12-10/qtlcharts/man/cbindQTLeffects.Rd                                                                 |    4 
 qtlcharts-0.12-10/qtlcharts/man/estQTLeffects.Rd                                                                   |   12 
 qtlcharts-0.12-10/qtlcharts/man/geneExpr.Rd                                                                        |    6 
 qtlcharts-0.12-10/qtlcharts/man/grav.Rd                                                                            |    8 
 qtlcharts-0.12-10/qtlcharts/man/iboxplot.Rd                                                                        |   16 
 qtlcharts-0.12-10/qtlcharts/man/idotplot.Rd                                                                        |    7 
 qtlcharts-0.12-10/qtlcharts/man/iheatmap.Rd                                                                        |   10 
 qtlcharts-0.12-10/qtlcharts/man/ipleiotropy.Rd                                                                     |   40 -
 qtlcharts-0.12-10/qtlcharts/man/iplot.Rd                                                                           |    9 
 qtlcharts-0.12-10/qtlcharts/man/iplotCorr.Rd                                                                       |   40 -
 qtlcharts-0.12-10/qtlcharts/man/iplotCurves.Rd                                                                     |   15 
 qtlcharts-0.12-10/qtlcharts/man/iplotMScanone.Rd                                                                   |   37 -
 qtlcharts-0.12-10/qtlcharts/man/iplotMap.Rd                                                                        |   13 
 qtlcharts-0.12-10/qtlcharts/man/iplotPXG.Rd                                                                        |   30 
 qtlcharts-0.12-10/qtlcharts/man/iplotRF.Rd                                                                         |   24 
 qtlcharts-0.12-10/qtlcharts/man/iplotScanone.Rd                                                                    |   46 -
 qtlcharts-0.12-10/qtlcharts/man/iplotScantwo.Rd                                                                    |   33 -
 qtlcharts-0.12-10/qtlcharts/man/itriplot.Rd                                                                        |    7 
 qtlcharts-0.12-10/qtlcharts/man/qtlcharts-package.Rd                                                               |   20 
 qtlcharts-0.12-10/qtlcharts/man/qtlcharts-shiny.Rd                                                                 |   10 
 qtlcharts-0.12-10/qtlcharts/man/scat2scat.Rd                                                                       |   13 
 qtlcharts-0.12-10/qtlcharts/man/setScreenSize.Rd                                                                   |    4 
 qtlcharts-0.12-10/qtlcharts/tests/Rmdtest/Rmdtest.Rmd                                                              |    2 
 qtlcharts-0.12-10/qtlcharts/tests/Rmdtest/iboxplot.Rmd                                                             |    2 
 qtlcharts-0.12-10/qtlcharts/tests/Rmdtest/idotplot.Rmd                                                             |    2 
 qtlcharts-0.12-10/qtlcharts/tests/Rmdtest/iheatmap.Rmd                                                             |    2 
 qtlcharts-0.12-10/qtlcharts/tests/Rmdtest/ipleiotropy.Rmd                                                          |    2 
 qtlcharts-0.12-10/qtlcharts/tests/Rmdtest/iplot.Rmd                                                                |    2 
 qtlcharts-0.12-10/qtlcharts/tests/Rmdtest/iplotCorr.Rmd                                                            |    2 
 qtlcharts-0.12-10/qtlcharts/tests/Rmdtest/iplotCurves.Rmd                                                          |    2 
 qtlcharts-0.12-10/qtlcharts/tests/Rmdtest/iplotCurves_justcurves.Rmd                                               |    2 
 qtlcharts-0.12-10/qtlcharts/tests/Rmdtest/iplotMScanone.Rmd                                                        |    2 
 qtlcharts-0.12-10/qtlcharts/tests/Rmdtest/iplotMap.Rmd                                                             |    2 
 qtlcharts-0.12-10/qtlcharts/tests/Rmdtest/iplotPXG.Rmd                                                             |    2 
 qtlcharts-0.12-10/qtlcharts/tests/Rmdtest/iplotRF.Rmd                                                              |    2 
 qtlcharts-0.12-10/qtlcharts/tests/Rmdtest/iplotScanone.Rmd                                                         |    2 
 qtlcharts-0.12-10/qtlcharts/tests/Rmdtest/iplotScantwo.Rmd                                                         |    2 
 qtlcharts-0.12-10/qtlcharts/tests/Rmdtest/itriplot.Rmd                                                             |    2 
 qtlcharts-0.12-10/qtlcharts/tests/Rmdtest/scat2scat.Rmd                                                            |    2 
 160 files changed, 2068 insertions(+), 1601 deletions(-)

More information about qtlcharts at CRAN
Permanent link

Package mrbin updated to version 1.4.3 with previous version 1.4.2 dated 2020-06-01

Title: Magnetic Resonance Binning, Integration and Normalization
Description: Nuclear Magnetic Resonance is widely used in Life Science research. The package (<http://www.kleinomicslab.com/software>) converts 1D or 2D data into a matrix of values suitable for further data analysis and performs basic processing steps in a reproducible way. Negative values, a common issue in such data, are replaced by positive values. All used parameters are stored in a readable text file and can be restored from that file to enable exact reproduction of the data at a later time.
Author: Matthias Klein [aut, cre] (<https://orcid.org/0000-0001-7455-5381>)
Maintainer: Matthias Klein <klein.663@osu.edu>

Diff between mrbin versions 1.4.2 dated 2020-06-01 and 1.4.3 dated 2020-09-25

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New package IntCal with initial version 0.1.3
Package: IntCal
Type: Package
Title: Radiocarbon Calibration Curves
Version: 0.1.3
Date: 2020-09-04
Authors@R: c( person("Maarten", "Blaauw", email = "maarten.blaauw@qub.ac.uk", role = c("aut", "cre")))
Description: The IntCal20 radiocarbon calibration curves (Reimer et al. 2020 <doi:10.1017/RDC.2020.68>) are provided here in a single data package, together with previous IntCal curves (IntCal13, IntCal09, IntCal04, IntCal98) and postbomb curves.
License: GPL (>= 2)
RoxygenNote: 7.1.1
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2020-09-21 18:35:52 UTC; maarten
Language: en-GB
Author: Maarten Blaauw [aut, cre]
Maintainer: Maarten Blaauw <maarten.blaauw@qub.ac.uk>
Repository: CRAN
Date/Publication: 2020-09-25 09:20:12 UTC

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New package htmldf with initial version 0.1.0
Package: htmldf
Title: Simple Scraping and Tidy Webpage Summaries
Version: 0.1.0
Author: Alastair Rushworth
Maintainer: Alastair Rushworth <alastairmrushworth@gmail.com>
Description: Simple tools for scraping webpages, extracting common html tags and parsing contents to a tidy, tabular format. Tools help with extraction of page titles, links, images, rss feeds, social media handles and page metadata.
License: GPL-2
Imports: cld3, dplyr, httr, lubridate, magrittr, progress, R.utils, ranger, rvest, stringr, tibble, tidyr, tools, urltools, xml2
Depends: R (>= 3.5.0)
Encoding: UTF-8
Language: en_GB
LazyData: true
URL: https://github.com/alastairrushworth/htmldf/
BugReports: https://github.com/alastairrushworth/htmldf/issues
RoxygenNote: 7.1.1
Suggests: testthat
NeedsCompilation: no
Packaged: 2020-09-22 05:28:26 UTC; alastairrushworth
Repository: CRAN
Date/Publication: 2020-09-25 09:50:02 UTC

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New package globalKinhom with initial version 0.1.1
Package: globalKinhom
Type: Package
Title: Inhomogeneous K- And Pair Correlation Functions Using Global Estimators
Version: 0.1.1
Date: 2020-09-11
Encoding: UTF-8
Authors@R: c(person("Thomas", "Shaw", role=c("aut", "cre"), email="shawtr@umich.edu"), person("Ege", "Rubak", role="ctb"), person("Adrian", "Baddeley", role="ctb"), person("Rolf", "Turner", role="ctb"))
Author: Thomas Shaw [aut, cre], Ege Rubak [ctb], Adrian Baddeley [ctb], Rolf Turner [ctb]
Maintainer: Thomas Shaw <shawtr@umich.edu>
Depends: R (>= 3.5.0), spatstat
Imports: stats, utils, grDevices
Description: Second-order summary statistics K- and pair-correlation functions describe interactions in point pattern data. This package provides computations to estimate those statistics on inhomogeneous point processes, using the methods of in T Shaw, J Møller, R Waagepetersen, 2020 <arXiv:2004.00527>.
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2020-09-21 15:50:45 UTC; tshaw
Repository: CRAN
Date/Publication: 2020-09-25 09:10:05 UTC

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Package ezcox updated to version 0.8.0 with previous version 0.7.0 dated 2020-07-01

Title: Easily Process a Batch of Cox Models
Description: A tool to operate a batch of univariate or multivariate Cox models and return tidy result.
Author: Shixiang Wang [aut, cre] (<https://orcid.org/0000-0001-9855-7357>)
Maintainer: Shixiang Wang <w_shixiang@163.com>

Diff between ezcox versions 0.7.0 dated 2020-07-01 and 0.8.0 dated 2020-09-25

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Package condvis2 updated to version 0.1.1 with previous version 0.1.0 dated 2019-06-28

Title: Interactive Conditional Visualization for Supervised and Unsupervised Models in Shiny
Description: Constructs a shiny app function with interactive displays for conditional visualization of models, data and density functions. An extended version of package 'condvis'. Mark O'Connell, Catherine B. Hurley, Katarina Domijan (2017) <doi:10.18637/jss.v081.i05>.
Author: Catherine Hurley [aut, cre], Mark OConnell [aut], Katarina Domijan [aut]
Maintainer: Catherine Hurley <catherine.hurley@mu.ie>

Diff between condvis2 versions 0.1.0 dated 2019-06-28 and 0.1.1 dated 2020-09-25

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Package CLA updated to version 0.96-1 with previous version 0.96-0 dated 2020-09-07

Title: Critical Line Algorithm in Pure R
Description: Implements 'Markowitz' Critical Line Algorithm ('CLA') for classical mean-variance portfolio optimization, see Markowitz (1952) <doi:10.2307/2975974>. Care has been taken for correctness in light of previous buggy implementations.
Author: Yanhao Shi <syhelena@163.com>, Martin Maechler <maechler@stat.math.ethz.ch>
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

Diff between CLA versions 0.96-0 dated 2020-09-07 and 0.96-1 dated 2020-09-25

 DESCRIPTION       |    8 ++++----
 MD5               |    6 +++---
 build/partial.rdb |binary
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 4 files changed, 15 insertions(+), 13 deletions(-)

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Package anticlust updated to version 0.5.3 with previous version 0.5.0 dated 2020-06-29

Title: Subset Partitioning via Anticlustering
Description: The method of anticlustering partitions a pool of elements into groups (i.e., anticlusters) in such a way that the between-group similarity is maximized and -- at the same time -- the within-group heterogeneity is maximized. This reverses the logic of cluster analysis that strives for high within-group homogeneity and low similarity of the different groups. Computationally, anticlustering is accomplished by maximizing instead of minimizing a clustering objective function, such as the intra-cluster variance (used in k-means clustering) or the sum of pairwise distances within clusters. The function anticlustering() implements exact and heuristic anticlustering algorithms as described in Papenberg and Klau (2020; <doi:10.1037/met0000301>). The exact approach requires that the GNU linear programming kit (<https://www.gnu.org/software/glpk/glpk.html>) is available and the R package 'Rglpk' (<https://cran.R-project.org/package=Rglpk>) is installed. Some other functions are available to solve classical clustering problems. The function balanced_clustering() applies a cluster analysis under size constraints, i.e., creates equal-sized clusters. The function matching() can be used for (unrestricted, bipartite, or K-partite) matching. The function wce() can be used optimally solve the (weighted) cluster editing problem, also known as correlation clustering, clique partitioning problem or transitivity clustering.
Author: Martin Papenberg [aut, cre] (<https://orcid.org/0000-0002-9900-4268>), Meik Michalke [ctb] (centroid based clustering algorithm), Gunnar W. Klau [ths], Juliane V. Tkotz [ctb] (package logo)
Maintainer: Martin Papenberg <martin.papenberg@hhu.de>

Diff between anticlust versions 0.5.0 dated 2020-06-29 and 0.5.3 dated 2020-09-25

 DESCRIPTION                                 |   14 +-
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 R/categorical-variable-handling.R           |    2 
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 25 files changed, 371 insertions(+), 155 deletions(-)

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New package shiny.pwa with initial version 0.2.0
Package: shiny.pwa
Type: Package
Title: Progressive Web App Support for Shiny
Version: 0.2.0
Authors@R: person("Pedro", "Silva", email = "pedrocoutinhosilva@gmail.com", role = c("aut", "cre"))
Description: Adds Progressive Web App support for Shiny apps, including desktop and mobile installations.
License: MIT + file LICENSE
URL: https://github.com/pedrocoutinhosilva/shiny.pwa
Encoding: UTF-8
LazyData: true
Imports: shiny, htmltools, readr, utils, urltools
Suggests: testthat
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-20 14:53:46 UTC; pedro
Author: Pedro Silva [aut, cre]
Maintainer: Pedro Silva <pedrocoutinhosilva@gmail.com>
Repository: CRAN
Date/Publication: 2020-09-25 08:20:02 UTC

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New package RVIpkg with initial version 0.1.1
Package: RVIpkg
Title: Regional Vulnerability Index
Version: 0.1.1
Authors@R: c( person(given = "Peter", family = "Kochunov", role = c("aut"), email = "pkochunov@gmail.com"), person(given = "Si", family = "Gao", role = c("aut", "cre"), email = "sgao@som.umaryland.edu"), person(given = "Fatima", family = "Talib", role = c("aut"), email = "fatal1@umbc.edu") )
Description: The Regional Vulnerability Index (RVI), a statistical measure of brain structural abnormality, quantifies an individual’s similarity to the expected pattern of deficits in schizophrenia (Kochunov P, Fan F, Ryan MC, et al. (2020) <doi:10.1002/hbm.25045>).
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Depends: R (>= 2.10)
Imports: stats
NeedsCompilation: no
Packaged: 2020-09-20 18:38:48 UTC; AbestSG
Author: Peter Kochunov [aut], Si Gao [aut, cre], Fatima Talib [aut]
Maintainer: Si Gao <sgao@som.umaryland.edu>
Repository: CRAN
Date/Publication: 2020-09-25 08:30:02 UTC

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New package rle with initial version 0.9.2
Package: rle
Version: 0.9.2
Date: 2020-09-21
Title: Common Functions for Run-Length Encoded Vectors
Authors@R: person("Pavel N.", "Krivitsky", role=c("aut","cre"), email="pavel@statnet.org", comment=c(ORCID="0000-0002-9101-3362"))
Description: Common 'base' and 'stats' methods for 'rle' objects, aiming to make it possible to treat them transparently as vectors.
Depends: R (>= 3.5)
Imports: methods
Copyright: file inst/COPYRIGHT
BugReports: https://github.com/statnet/rle/issues
License: GPL-3
RoxygenNote: 7.1.1
Encoding: UTF-8
Suggests: covr
NeedsCompilation: yes
Packaged: 2020-09-21 03:24:29 UTC; pavel
Author: Pavel N. Krivitsky [aut, cre] (<https://orcid.org/0000-0002-9101-3362>)
Maintainer: Pavel N. Krivitsky <pavel@statnet.org>
Repository: CRAN
Date/Publication: 2020-09-25 08:40:02 UTC

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New package ggip with initial version 0.1.0
Package: ggip
Title: Data Visualization for IP Addresses and Networks
Version: 0.1.0
Authors@R: person(given = "David", family = "Hall", role = c("aut", "cre"), email = "david.hall.physics@gmail.com", comment = c(ORCID = "0000-0002-2193-0480"))
Description: A 'ggplot2' extension that enables visualization of IP (Internet Protocol) addresses and networks. The address space is mapped onto the Cartesian coordinate system using a space-filling curve. Offers full support for both IPv4 and IPv6 (Internet Protocol versions 4 and 6) address spaces.
License: MIT + file LICENSE
URL: https://davidchall.github.io/ggip/, https://github.com/davidchall/ggip
BugReports: https://github.com/davidchall/ggip/issues
Depends: ggplot2 (>= 3.3.0), ipaddress (>= 0.5.1), R (>= 3.3.0)
Imports: glue, Rcpp, rlang (>= 0.4.2), tidyr, vctrs (>= 0.3.0)
Suggests: dplyr (>= 1.0.0), knitr, rmarkdown, testthat
LinkingTo: ipaddress, Rcpp
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
SystemRequirements: C++11
NeedsCompilation: yes
Packaged: 2020-09-20 18:03:14 UTC; david
Author: David Hall [aut, cre] (<https://orcid.org/0000-0002-2193-0480>)
Maintainer: David Hall <david.hall.physics@gmail.com>
Repository: CRAN
Date/Publication: 2020-09-25 08:20:05 UTC

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Package palm updated to version 1.1.4 with previous version 1.1.3 dated 2018-12-08

Title: Fitting Point Process Models via the Palm Likelihood
Description: Functions to fit point process models using the Palm likelihood. First proposed by Tanaka, Ogata, and Stoyan (2008) <DOI:10.1002/bimj.200610339>, maximisation of the Palm likelihood can provide computationally efficient parameter estimation for point process models in situations where the full likelihood is intractable. This package is chiefly focused on Neyman-Scott point processes, but can also fit the void processes proposed by Jones-Todd et al. (2019) <DOI:10.1002/sim.8046>. The development of this package was motivated by the analysis of capture-recapture surveys on which individuals cannot be identified---the data from which can conceptually be seen as a clustered point process (Stevenson, Borchers, and Fewster, 2019 <DOI:10.1111/biom.12983>). As such, some of the functions in this package are specifically for the estimation of cetacean density from two-camera aerial surveys.
Author: Ben Stevenson <ben.stevenson@auckland.ac.nz>
Maintainer: Ben Stevenson <ben.stevenson@auckland.ac.nz>

Diff between palm versions 1.1.3 dated 2018-12-08 and 1.1.4 dated 2020-09-25

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 palm-1.1.4/palm/NAMESPACE                |    7 ----
 palm-1.1.4/palm/NEWS                     |   14 +++++++--
 palm-1.1.4/palm/R/RcppExports.R          |    4 ++
 palm-1.1.4/palm/R/fit-ns.r               |   18 +++++-------
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 palm-1.1.4/palm/R/palm.r                 |   16 +++++------
 palm-1.1.4/palm/R/refclass.r             |   24 +++++++++-------
 palm-1.1.4/palm/man/coef.palm.Rd         |    3 --
 palm-1.1.4/palm/man/confint.palm.Rd      |    3 --
 palm-1.1.4/palm/man/example.1D.Rd        |    4 ++
 palm-1.1.4/palm/man/example.2D.Rd        |    4 ++
 palm-1.1.4/palm/man/example.twocamera.Rd |    4 ++
 palm-1.1.4/palm/man/fit.ns.Rd            |   33 +++++++++++++++--------
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New package dPCP with initial version 1.0.3
Package: dPCP
Title: Automated Analysis of Multiplex Digital PCR Data
Version: 1.0.3
Authors@R: c(person(given = "Alfonso", family = "De Falco", role = c("aut", "cre"), email = "alfonso.defalco@lns.etat.lu", comment = c(ORCID = "0000-0001-9985-9920")), person(given = "Michel", family = "Mittelbronn", role = c("ctb")), person(given = "Christophe", family = "Olinger", role = c("ctb")), person(given = "Daniel", family = "Stieber", role = c("ctb")), person(given = "Laboratoire national de santé", role = c("cph")))
Description: The automated clustering and quantification of the digital PCR data is based on the combination of 'DBSCAN' (Hahsler et al. (2019) <doi:10.18637/jss.v091.i01>) and 'c-means' (Bezdek et l. (1981) <doi:10.1007/978-1-4757-0450-1>) algorithms. The analysis is independent of multiplexing geometry, dPCR system, and input amount. The details about input data and parameters are available in the vignette.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: dbscan, e1071, exactci, ggplot2, ggpubr, graphics, raster, rlist, scales, shiny, shinyjs, stats, stringr, utils
RoxygenNote: 7.1.1
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-09-19 13:59:13 UTC; gen_adef
Author: Alfonso De Falco [aut, cre] (<https://orcid.org/0000-0001-9985-9920>), Michel Mittelbronn [ctb], Christophe Olinger [ctb], Daniel Stieber [ctb], Laboratoire national de santé [cph]
Maintainer: Alfonso De Falco <alfonso.defalco@lns.etat.lu>
Repository: CRAN
Date/Publication: 2020-09-25 07:50:02 UTC

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Package RiemGrassmann (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:

2020-03-25 0.1.0

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Package RiemStiefel (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:

2020-03-25 0.1.1
2020-03-15 0.1.0

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Package RiemBaseExt (with last version 0.1.2) was removed from CRAN

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2020-03-21 0.1.2
2019-12-02 0.1.1
2019-11-25 0.1.0

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Package dynOmics (with last version 1.2) was removed from CRAN

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2018-06-28 1.2

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Package tidyseurat (with last version 0.1.8) was removed from CRAN

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

2020-09-15 0.1.8
2020-09-11 0.1.6

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Package miic (with last version 1.5.2) was removed from CRAN

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

2020-09-23 1.5.2
2020-09-18 1.5.1
2020-09-11 1.5.0

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Package NAPPA (with last version 2.0.1) was removed from CRAN

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

2015-03-03 2.0.1
2014-07-16 2.0
2013-10-29 1.0

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Package MixSIAR (with last version 3.1.11) was removed from CRAN

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

2020-05-13 3.1.11
2018-04-12 3.1.10
2018-03-30 3.1.9
2016-08-23 3.1.7
2016-06-25 3.1.6

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Package testit updated to version 0.12 with previous version 0.11 dated 2019-11-12

Title: A Simple Package for Testing R Packages
Description: Provides two convenience functions assert() and test_pkg() to facilitate testing R packages.
Author: Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>), Steven Mortimer [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

Diff between testit versions 0.11 dated 2019-11-12 and 0.12 dated 2020-09-25

 DESCRIPTION   |    8 ++++----
 MD5           |   13 +++++++------
 NEWS          |    6 ++++++
 R/testit.R    |   25 ++++++++++++++++++++++++-
 R/utils.R     |   10 ++++++++--
 R/zzz.R       |only
 README.md     |    2 +-
 man/assert.Rd |    2 +-
 8 files changed, 51 insertions(+), 15 deletions(-)

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Package strex updated to version 1.3.0 with previous version 1.2.0 dated 2019-09-13

Title: Extra String Manipulation Functions
Description: There are some things that I wish were easier with the 'stringr' or 'stringi' packages. The foremost of these is the extraction of numbers from strings. 'stringr' and 'stringi' make you figure out the regular expression for yourself; 'strex' takes care of this for you. There are many other handy functionalities in 'strex'. Contributions to this package are encouraged: it is intended as a miscellany of string manipulation functions that cannot be found in 'stringi' or 'stringr'.
Author: Rory Nolan [aut, cre] (<https://orcid.org/0000-0002-5239-4043>)
Maintainer: Rory Nolan <rorynoolan@gmail.com>

Diff between strex versions 1.2.0 dated 2019-09-13 and 1.3.0 dated 2020-09-25

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 strex-1.3.0/strex/NAMESPACE                          |    4 
 strex-1.3.0/strex/R/after.R                          |    2 
 strex-1.3.0/strex/R/alphord.R                        |   16 +-
 strex-1.3.0/strex/R/arg-match.R                      |   78 +++++----
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 strex-1.3.0/strex/R/currency.R                       |   20 +-
 strex-1.3.0/strex/R/extract-non-nums.R               |    8 -
 strex-1.3.0/strex/R/extract-nums.R                   |   13 -
 strex-1.3.0/strex/R/locate.R                         |   26 +--
 strex-1.3.0/strex/R/split-by-nums.R                  |    5 
 strex-1.3.0/strex/R/strex-package.R                  |    9 -
 strex-1.3.0/strex/R/trim.R                           |   73 +++++++--
 strex-1.3.0/strex/R/utils.R                          |  151 +++++++++----------
 strex-1.3.0/strex/README.md                          |    6 
 strex-1.3.0/strex/build/partial.rdb                  |binary
 strex-1.3.0/strex/build/vignette.rds                 |binary
 strex-1.3.0/strex/inst/WORDLIST                      |    2 
 strex-1.3.0/strex/inst/doc/alphordering-numbers.R    |   10 -
 strex-1.3.0/strex/inst/doc/alphordering-numbers.Rmd  |    2 
 strex-1.3.0/strex/inst/doc/alphordering-numbers.html |   17 --
 strex-1.3.0/strex/inst/doc/argument-matching.R       |   18 +-
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 strex-1.3.0/strex/inst/doc/before-and-after.R        |   12 -
 strex-1.3.0/strex/inst/doc/before-and-after.html     |   15 -
 strex-1.3.0/strex/inst/doc/important-miscellany.R    |   30 +--
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 strex-1.3.0/strex/inst/doc/numbers-in-strings.R      |   32 ++--
 strex-1.3.0/strex/inst/doc/numbers-in-strings.Rmd    |   10 -
 strex-1.3.0/strex/inst/doc/numbers-in-strings.html   |  127 +++++++--------
 strex-1.3.0/strex/man/before-and-after.Rd            |    7 
 strex-1.3.0/strex/man/currency.Rd                    |    8 -
 strex-1.3.0/strex/man/str_before_last_dot.Rd         |    3 
 strex-1.3.0/strex/man/str_elem.Rd                    |    5 
 strex-1.3.0/strex/man/str_elems.Rd                   |    5 
 strex-1.3.0/strex/man/str_extract_non_numerics.Rd    |   14 +
 strex-1.3.0/strex/man/str_extract_numbers.Rd         |   23 +-
 strex-1.3.0/strex/man/str_locate_braces.Rd           |   13 -
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 strex-1.3.0/strex/man/str_match_arg.Rd               |   18 +-
 strex-1.3.0/strex/man/str_nth_non_numeric.Rd         |   41 +++--
 strex-1.3.0/strex/man/str_nth_number.Rd              |   48 ++++--
 strex-1.3.0/strex/man/str_nth_number_after_mth.Rd    |  150 +++++++++++++-----
 strex-1.3.0/strex/man/str_nth_number_before_mth.Rd   |  150 +++++++++++++-----
 strex-1.3.0/strex/man/str_paste_elems.Rd             |    5 
 strex-1.3.0/strex/man/str_remove_quoted.Rd           |    7 
 strex-1.3.0/strex/man/str_singleize.Rd               |    9 -
 strex-1.3.0/strex/man/str_split_by_numbers.Rd        |   14 +
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 strex-1.3.0/strex/tests/testthat/test-extract-nums.R |    6 
 strex-1.3.0/strex/tests/testthat/test-trim.R         |   11 +
 strex-1.3.0/strex/tests/testthat/test-utils.R        |   48 ++----
 strex-1.3.0/strex/vignettes/alphordering-numbers.Rmd |    2 
 strex-1.3.0/strex/vignettes/numbers-in-strings.Rmd   |   10 -
 86 files changed, 919 insertions(+), 694 deletions(-)

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Package neonUtilities updated to version 1.3.7 with previous version 1.3.6 dated 2020-07-26

Title: Utilities for Working with NEON Data
Description: NEON data packages can be accessed through the NEON Data Portal <https://data.neonscience.org/home> or through the NEON Data API (see <https://data.neonscience.org/data-api> for documentation). Data delivered from the Data Portal are provided as monthly zip files packaged within a parent zip file, while individual files can be accessed from the API. This package provides tools that aid in discovering, downloading, and reformatting data prior to use in analyses. This includes downloading data via the API, merging data tables by type, and converting formats. For more information, see the readme file at <https://github.com/NEONScience/NEON-utilities>.
Author: Claire Lunch [aut, cre, ctb], Christine Laney [aut, ctb], Nathan Mietkiewicz [aut, ctb], Eric Sokol [aut, ctb], Kaelin Cawley [aut, ctb], NEON (National Ecological Observatory Network) [aut]
Maintainer: Claire Lunch <clunch@battelleecology.org>

Diff between neonUtilities versions 1.3.6 dated 2020-07-26 and 1.3.7 dated 2020-09-25

 neonUtilities-1.3.6/neonUtilities/R/getFilesize.R            |only
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Package downlit updated to version 0.2.0 with previous version 0.1.0 dated 2020-09-01

Title: Syntax Highlighting and Automatic Linking
Description: Syntax highlighting of R code, specifically designed for the needs of 'RMarkdown' packages like 'pkgdown', 'hugodown', and 'bookdown'. It includes linking of function calls to their documentation on the web, and automatic translation of ANSI escapes in output to the equivalent HTML.
Author: Hadley Wickham [aut, cre], RStudio [cph]
Maintainer: Hadley Wickham <hadley@rstudio.com>

Diff between downlit versions 0.1.0 dated 2020-09-01 and 0.2.0 dated 2020-09-25

 DESCRIPTION                            |    8 +-
 MD5                                    |   43 ++++++-------
 NEWS.md                                |only
 R/downlit-html.R                       |   33 ++++++++-
 R/downlit-md.R                         |   19 ++++-
 R/highlight.R                          |  109 ++++++++++++++++++++++++++-------
 R/link.R                               |    5 +
 R/metadata.R                           |   24 ++++++-
 R/utils.R                              |   16 ++++
 README.md                              |   14 +++-
 man/downlit-package.Rd                 |    1 
 man/downlit_html_path.Rd               |    9 ++
 man/downlit_md_path.Rd                 |    2 
 tests/testthat/test-downlit-html.R     |   14 ++++
 tests/testthat/test-downlit-html.txt   |    3 
 tests/testthat/test-downlit-md-v20.txt |    3 
 tests/testthat/test-downlit-md-v21.txt |    3 
 tests/testthat/test-downlit-md.R       |   14 ++++
 tests/testthat/test-evaluate.txt       |   10 +--
 tests/testthat/test-highlight.R        |   25 ++++++-
 tests/testthat/test-highlight.txt      |   20 +++---
 tests/testthat/test-link.R             |    6 -
 tests/testthat/test-metadata.R         |    2 
 23 files changed, 295 insertions(+), 88 deletions(-)

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Package contentid updated to version 0.0.8 with previous version 0.0.7 dated 2020-09-08

Title: An Interface for Content-Based Identifiers
Description: An interface for creating, registering, and resolving content-based identifiers for data management. Content-based identifiers rely on the 'cryptographic' hashes to refer to the files they identify, thus, anyone possessing the file can compute the identifier using a well-known standard algorithm, such as 'SHA256'. By registering a URL at which the content is accessible to a public archive, such as <https://hash-archive.org>, the content identifier can serve many functions typically associated with A Digital Object Identifier ('DOI'). Unlike location-based identifiers like 'DOIs', content-based identifiers permit the same content to be registered in many locations.
Author: Carl Boettiger [aut, cre] (<https://orcid.org/0000-0002-1642-628X>), Jorrit Poelen [aut] (<https://orcid.org/0000-0003-3138-4118>), NSF OAC 1839201 [fnd] (https://www.nsf.gov/awardsearch/showAward?AWD_ID=1839201)
Maintainer: Carl Boettiger <cboettig@gmail.com>

Diff between contentid versions 0.0.7 dated 2020-09-08 and 0.0.8 dated 2020-09-25

 DESCRIPTION                |    6 +++---
 MD5                        |   18 +++++++++---------
 NEWS.md                    |    4 ++++
 R/query_sources.R          |   31 +++++++++++++++++--------------
 R/tsv_registry.R           |    8 ++++----
 build/vignette.rds         |binary
 inst/doc/intro.Rmd         |    2 +-
 inst/doc/intro.html        |    2 +-
 vignettes/intro.Rmd        |    2 +-
 vignettes/intro.Rmd-source |    2 +-
 10 files changed, 41 insertions(+), 34 deletions(-)

More information about contentid at CRAN
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