Fri, 07 Feb 2020

Package Rvcg updated to version 0.19.1 with previous version 0.19 dated 2020-02-06

Title: Manipulations of Triangular Meshes Based on the 'VCGLIB' API
Description: Operations on triangular meshes based on 'VCGLIB'. This package integrates nicely with the R-package 'rgl' to render the meshes processed by 'Rvcg'. The Visualization and Computer Graphics Library (VCG for short) is an open source portable C++ templated library for manipulation, processing and displaying with OpenGL of triangle and tetrahedral meshes. The library, composed by more than 100k lines of code, is released under the GPL license, and it is the base of most of the software tools of the Visual Computing Lab of the Italian National Research Council Institute ISTI <http://vcg.isti.cnr.it>, like 'metro' and 'MeshLab'. The 'VCGLIB' source is pulled from trunk <https://github.com/cnr-isti-vclab/vcglib> and patched to work with options determined by the configure script as well as to work with the header files included by 'RcppEigen'.
Author: Stefan Schlager [aut, cre, cph], Girinon Francois [ctb]
Maintainer: Stefan Schlager <zarquon42@gmail.com>

Diff between Rvcg versions 0.19 dated 2020-02-06 and 0.19.1 dated 2020-02-07

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Package rstudioapi updated to version 0.11 with previous version 0.10 dated 2019-03-19

Title: Safely Access the RStudio API
Description: Access the RStudio API (if available) and provide informative error messages when it's not.
Author: Kevin Ushey [aut, cre], JJ Allaire [aut], Hadley Wickham [aut], Gary Ritchie [aut], RStudio [cph]
Maintainer: Kevin Ushey <kevin@rstudio.com>

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Package localICE updated to version 0.1.1 with previous version 0.1.0 dated 2019-02-01

Title: Local Individual Conditional Expectation
Description: Local Individual Conditional Expectation ('localICE') is a local explanation approach from the field of eXplainable Artificial Intelligence (XAI). localICE is a model-agnostic XAI approach which provides three-dimensional local explanations for particular data instances. The approach is proposed in the master thesis of Martin Walter as an extension to ICE (see Reference). The three dimensions are the two features at the horizontal and vertical axes as well as the target represented by different colors. The approach is applicable for classification and regression problems to explain interactions of two features towards the target. For classification models, the number of classes can be more than two and each class is added as a different color to the plot. The given instance is added to the plot as two dotted lines according to the feature values. The localICE-package can explain features of type factor and numeric of any machine learning model. Automatically supported machine learning packages are 'mlr', 'randomForest', 'caret' or all other with an S3 predict function. For further model types from other libraries, a predict function has to be provided as an argument in order to get access to the model. Reference to the ICE approach: Alex Goldstein, Adam Kapelner, Justin Bleich, Emil Pitkin (2013) <arXiv:1309.6392>.
Author: Martin Walter [aut, cre]
Maintainer: Martin Walter <mf-walter@web.de>

Diff between localICE versions 0.1.0 dated 2019-02-01 and 0.1.1 dated 2020-02-07

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Package intkrige updated to version 1.0.1 with previous version 1.0.0 dated 2019-07-07

Title: A Numerical Implementation of Interval-Valued Kriging
Description: An interval-valued extension of ordinary and simple kriging. Optimization of the function is based on a generalized interval distance. This creates a non-differentiable cost function that requires a differentiable approximation to the absolute value function. This differentiable approximation is optimized using a Newton-Raphson algorithm with a penalty function to impose the constraints. Analyses in the package are driven by the 'intsp' and 'intgrd' classes, which are interval-valued extensions of 'SpatialPointsDataFrame' and 'SpatialPixelsDataFrame' respectively. The package includes several wrappers to functions in the 'gstat' and 'sp' packages.
Author: Brennan Bean [aut, cre]
Maintainer: Brennan Bean <brennan.bean@usu.edu>

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Package rmetasim updated to version 3.1.14 with previous version 3.1.13 dated 2020-01-29

Title: An Individual-Based Population Genetic Simulation Environment
Description: An interface between R and the metasim simulation engine. The simulation environment is documented in: "Strand, A.(2002) <DOI:10.1046/j.1471-8286.2002.00208.x> Metasim 1.0: an individual-based environment for simulating population genetics of complex population dynamics. Mol. Ecol. Notes. Please see the vignettes CreatingLandscapes and Simulating to get some ideas on how to use the packages. See the rmetasim vignette to get an overview and to see important changes to the code in the most recent version.
Author: Allan Strand <stranda@cofc.edu>, James Niehaus
Maintainer: Allan Strand <stranda@cofc.edu>

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Package SparkR updated to version 2.4.5 with previous version 2.4.4 dated 2019-09-02

Title: R Front End for 'Apache Spark'
Description: Provides an R Front end for 'Apache Spark' <https://spark.apache.org>.
Author: Shivaram Venkataraman [aut, cre], Xiangrui Meng [aut], Felix Cheung [aut], The Apache Software Foundation [aut, cph]
Maintainer: Shivaram Venkataraman <shivaram@cs.berkeley.edu>

Diff between SparkR versions 2.4.4 dated 2019-09-02 and 2.4.5 dated 2020-02-07

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Package salso updated to version 0.1.16 with previous version 0.1.11 dated 2020-01-07

Title: Sequentially-Allocated Latent Structure Optimization
Description: Point estimation for partition distributions using the sequentially-allocated latent structure optimization (SALSO) method to minimize the expectation of the Binder loss or the lower bound of the expectation of the variation of information loss. The SALSO method was presented at the workshop "Bayesian Nonparametric Inference: Dependence Structures and their Applications" in Oaxaca, Mexico on December 6, 2017. See <https://www.birs.ca/events/2017/5-day-workshops/17w5060/schedule>.
Author: David B. Dahl
Maintainer: David B. Dahl <dahl@stat.byu.edu>

Diff between salso versions 0.1.11 dated 2020-01-07 and 0.1.16 dated 2020-02-07

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Package svglite updated to version 1.2.3 with previous version 1.2.2 dated 2019-05-17

Title: An 'SVG' Graphics Device
Description: A graphics device for R that produces 'Scalable Vector Graphics'. 'svglite' is a fork of the older 'RSvgDevice' package.
Author: Hadley Wickham [aut], Lionel Henry [aut], Thomas Lin Pedersen [cre, aut] (<https://orcid.org/0000-0002-5147-4711>), T Jake Luciani [aut], Matthieu Decorde [aut], Vaudor Lise [aut], Tony Plate [ctb] (Early line dashing code), David Gohel [ctb] (Line dashing code and raster code), Yixuan Qiu [ctb] (Improved styles; polypath implementation), Håkon Malmedal [ctb] (Opacity code), RStudio [cph]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@rstudio.com>

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Package shallot updated to version 0.4.8 with previous version 0.4.7 dated 2019-10-02

Title: Random Partition Distribution Indexed by Pairwise Information
Description: Implementations are provided for the models described in the paper D. B. Dahl, R. Day, J. Tsai (2017) <DOI:10.1080/01621459.2016.1165103>. The Ewens, Ewens-Pitman, Ewens attraction, Ewens-Pitman attraction, and ddCRP distributions are available for prior and posterior simulation. Posterior simulation is based on a user-supplied likelihood. Supporting functions for partition estimation and plotting are also provided.
Author: David B. Dahl [aut, cre]
Maintainer: David B. Dahl <dahl@stat.byu.edu>

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Package outbreaker2 updated to version 1.1.1 with previous version 1.1.0 dated 2019-06-13

Title: Bayesian Reconstruction of Disease Outbreaks by Combining Epidemiologic and Genomic Data
Description: Bayesian reconstruction of disease outbreaks using epidemiological and genetic information. Jombart T, Cori A, Didelot X, Cauchemez S, Fraser C and Ferguson N. 2014. <doi:10.1371/journal.pcbi.1003457>. Campbell, F, Cori A, Ferguson N, Jombart T. 2019. <doi:10.1371/journal.pcbi.1006930>.
Author: Thibaut Jombart [aut], Finlay Campbell [aut, cre], Rich Fitzjohn [aut], Gerry Tonkin-Hill [ctb], Alexis Robert [ctb]
Maintainer: Finlay Campbell <finlaycampbell93@gmail.com>

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Package optimx updated to version 2020-2.2 with previous version 2020-1.31 dated 2020-02-01

Title: Expanded Replacement and Extension of the 'optim' Function
Description: Provides a replacement and extension of the optim() function to call to several function minimization codes in R in a single statement. These methods handle smooth, possibly box constrained functions of several or many parameters. Note that function 'optimr()' was prepared to simplify the incorporation of minimization codes going forward. Also implements some utility codes and some extra solvers, including safeguarded Newton methods. Many methods previously separate are now included here. This is the version for CRAN.
Author: John C Nash [aut, cre], Ravi Varadhan [aut], Gabor Grothendieck [ctb]
Maintainer: John C Nash <nashjc@uottawa.ca>

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Package NatureSounds updated to version 1.0.2 with previous version 1.0.1 dated 2019-01-07

Title: Animal Sounds for Bioacustic Analysis
Description: Collection of example animal sounds for bioacoustic analysis.
Author: Marcelo Araya-Salas [aut, cre]
Maintainer: Marcelo Araya-Salas <marceloa27@gmail.com>

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Package moveVis updated to version 0.10.4 with previous version 0.10.3 dated 2019-10-06

Title: Movement Data Visualization
Description: Tools to visualize movement data (e.g. from GPS tracking) and temporal changes of environmental data (e.g. from remote sensing) by creating video animations.
Author: Jakob Schwalb-Willmann [aut, cre]
Maintainer: Jakob Schwalb-Willmann <movevis@schwalb-willmann.de>

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Package kequate updated to version 1.6.3 with previous version 1.6.2 dated 2019-05-31

Title: The Kernel Method of Test Equating
Description: Implements the kernel method of test equating as defined in von Davier, A. A., Holland, P. W. and Thayer, D. T. (2004) <doi: 10.1007/b97446> and Andersson, B. and Wiberg, M. (2017) <doi: 10.1007/s11336-016-9528-7> using the CB, EG, SG, NEAT CE/PSE and NEC designs, supporting Gaussian, logistic and uniform kernels and unsmoothed and pre-smoothed input data.
Author: Björn Andersson [aut, cre], Kenny Bränberg [aut], Marie Wiberg [aut]
Maintainer: Björn Andersson <bjoern.h.andersson@gmail.com>

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Package corporaexplorer updated to version 0.8.1.1 with previous version 0.8.1 dated 2020-02-06

Title: A 'Shiny' App for Exploration of Text Collections
Description: Facilitates dynamic exploration of text collections through an intuitive graphical user interface and the power of regular expressions. The package contains 1) a helper function to convert a data frame to a 'corporaexplorerobject', 2) a 'Shiny' app for fast and flexible exploration of a 'corporaexplorerobject', and 3) a 'Shiny' app for simple retrieval/extraction of documents from a 'corporaexplorerobject' in a reading-friendly format. The package also includes demo apps with which one can explore Jane Austen's novels and the State of the Union Addresses (data from the 'janeaustenr' and 'sotu' packages respectively).
Author: Kristian Lundby Gjerde [aut, cre]
Maintainer: Kristian Lundby Gjerde <kristian.gjerde@gmail.com>

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Package phyloseqGraphTest updated to version 0.1.0 with previous version 0.0.2 dated 2018-06-27

Title: Graph-Based Permutation Tests for Microbiome Data
Description: Provides functions for graph-based multiple-sample testing and visualization of microbiome data, in particular data stored in 'phyloseq' objects. The tests are based on those described in Friedman and Rafsky (1979) <http://www.jstor.org/stable/2958919>, and the tests are described in more detail in Callahan et al. (2016) <doi:10.12688/f1000research.8986.1>.
Author: Julia Fukuyama [aut, cre]
Maintainer: Julia Fukuyama <julia.fukuyama@gmail.com>

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Package modeldb updated to version 0.2.1 with previous version 0.2.0 dated 2019-07-20

Title: Fits Models Inside the Database
Description: Uses 'dplyr' and 'tidyeval' to fit statistical models inside the database. It currently supports KMeans and linear regression models.
Author: Edgar Ruiz [aut, cre]
Maintainer: Edgar Ruiz <edgararuiz@gmail.com>

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Package dialrjars updated to version 8.11.3 with previous version 8.10.14 dated 2019-06-26

Title: Required 'libphonenumber' jars for the 'dialr' Package
Description: Collects 'libphonenumber' jars required for the 'dialr' package.
Author: Danny Smith [aut, cre], Google Inc. [ctb, cph] (libphonenumber), Vonage Holdings Corp. [ctb, cph] (libphonenumber), Ian Galpin [ctb, cph] (libphonenumber), Ben Gertzfield [ctb, cph] (libphonenumber)
Maintainer: Danny Smith <danny@gorcha.org>

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Package connections updated to version 0.1.1 with previous version 0.1.0 dated 2019-10-28

Title: Integrates with the 'RStudio' Connections Pane and 'pins'
Description: Enables 'DBI' compliant packages to integrate with the 'RStudio' connections pane, and the 'pins' package. It automates the display of schemata, tables, views, as well as the preview of the table's top 1000 records.
Author: Javier Luraschi [aut, cre], Edgar Ruiz [aut]
Maintainer: Javier Luraschi <javier@rstudio.com>

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Package confreq updated to version 1.5.4-7 with previous version 1.5.4-6 dated 2020-02-02

Title: Configural Frequencies Analysis Using Log-Linear Modeling
Description: Offers several functions for Configural Frequencies Analysis (CFA), which is a useful statistical tool for the analysis of multiway contingency tables. CFA was introduced by G. A. Lienert as 'Konfigurations Frequenz Analyse - KFA'. Lienert, G. A. (1971). Die Konfigurationsfrequenzanalyse: I. Ein neuer Weg zu Typen und Syndromen. Zeitschrift für Klinische Psychologie und Psychotherapie, 19(2), 99–115.
Author: Joerg-Henrik Heine, R.W. Alexandrowicz (function stirling_cfa() ) and some package testing by Mark Stemmler
Maintainer: Joerg-Henrik Heine <jhheine@googlemail.com>

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Package lodi updated to version 0.9.2 with previous version 0.9.1 dated 2019-08-28

Title: Limit of Detection Imputation for Single-Pollutant Models
Description: Impute observed values below the limit of detection (LOD) via censored likelihood multiple imputation (CLMI) in single-pollutant models, developed by Boss et al (2019) <doi:10.1097/EDE.0000000000001052>. CLMI handles exposure detection limits that may change throughout the course of exposure assessment. 'lodi' provides functions for imputing and pooling for this method.
Author: Jonathan Boss [aut], Alexander Rix [aut, cre]
Maintainer: Alexander Rix <alexrix@umich.edu>

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Package Hmisc updated to version 4.3-1 with previous version 4.3-0 dated 2019-11-07

Title: Harrell Miscellaneous
Description: Contains many functions useful for data analysis, high-level graphics, utility operations, functions for computing sample size and power, importing and annotating datasets, imputing missing values, advanced table making, variable clustering, character string manipulation, conversion of R objects to LaTeX and html code, and recoding variables.
Author: Frank E Harrell Jr <f.harrell@vanderbilt.edu>, with contributions from Charles Dupont and many others.
Maintainer: Frank E Harrell Jr <f.harrell@vanderbilt.edu>

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Package tempdisagg updated to version 1.0 with previous version 0.25.0 dated 2016-07-10

Title: Methods for Temporal Disaggregation and Interpolation of Time Series
Description: Temporal disaggregation methods are used to disaggregate and interpolate a low frequency time series to a higher frequency series, where either the sum, the mean, the first or the last value of the resulting high frequency series is consistent with the low frequency series. Temporal disaggregation can be performed with or without one or more high frequency indicator series. Contains the methods of Chow-Lin, Santos-Silva-Cardoso, Fernandez, Litterman, Denton and Denton-Cholette, summarized in Sax and Steiner (2013) <doi:10.32614/RJ-2013-028>. Supports most R time series classes.
Author: Christoph Sax [aut, cre] (<https://orcid.org/0000-0002-7192-7044>), Peter Steiner [aut], Tommaso Di Fonzo [ctb]
Maintainer: Christoph Sax <christoph.sax@gmail.com>

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Package googleCloudVisionR updated to version 0.2.0 with previous version 0.1.0 dated 2019-06-28

Title: Access to the 'Google Cloud Vision' API for Image Recognition, OCR and Labeling
Description: Interact with the 'Google Cloud Vision' <https://cloud.google.com/vision/> API in R. Part of the 'cloudyr' <https://cloudyr.github.io/> project.
Author: Jeno Pal [cre], Tamas Koncz [aut], Balazs Varkoly [aut], Peter Lukacs [aut], Eszter Kocsis [aut], Florian Teschner [ctb]
Maintainer: Jeno Pal <paljenczy@gmail.com>

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Package sen2r updated to version 1.3.1 with previous version 1.3.0 dated 2020-02-04

Title: Find, Download and Process Sentinel-2 Data
Description: Functions to download Sentinel-2 optical images and perform preliminary processing operations. 'sen2r' provides the instruments required to easily perform (and eventually automate) the steps necessary to build a complete Sentinel-2 processing chain. A Graphical User Interface to facilitate data processing is also provided.
Author: Luigi Ranghetti [aut, cre] (<https://orcid.org/0000-0001-6207-5188>), Lorenzo Busetto [aut] (<https://orcid.org/0000-0001-9634-6038>)
Maintainer: Luigi Ranghetti <luigi@ranghetti.info>

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Package oppr updated to version 1.0.0 with previous version 0.0.4 dated 2019-08-10

Title: Optimal Project Prioritization
Description: A decision support tool for prioritizing conservation projects. Prioritizations can be developed by maximizing expected feature richness, expected phylogenetic diversity, the number of features that meet persistence targets, or identifying a set of projects that meet persistence targets for minimal cost. Constraints (e.g. lock in specific actions) and feature weights can also be specified to further customize prioritizations. After defining a project prioritization problem, solutions can be obtained using exact algorithms, heuristic algorithms, or random processes. In particular, it is recommended to install the 'Gurobi' optimizer (available from <https://www.gurobi.com>) because it can identify optimal solutions very quickly. Finally, methods are provided for comparing different prioritizations and evaluating their benefits. For more information, see Hanson et al. (2019) <doi:10.1111/2041-210X.13264>.
Author: Jeffrey O Hanson [aut, cre], Richard Schuster [aut], Matthew Strimas-Mackey [aut], Joseph Bennett [aut]
Maintainer: Jeffrey O Hanson <jeffrey.hanson@uqconnect.edu.au>

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Package modelsummary updated to version 0.1.1 with previous version 0.1.0 dated 2019-07-15

Title: Create Beautiful, Customizable, Publication-Ready Summary Tables for Statistical Models
Description: Create beautiful, customizable, publication-ready summary tables for statistical models. 'modelsummary' leverages the power of the 'gt' and 'broom' packages. It can produce tables in HTML, RTF, JPG, and LaTeX formats (text/markdown/ascii tables coming soon). The 'gt' package is hosted on 'Github' by the 'RStudio' organization: <http://github.com/rstudio/gt>.
Author: Vincent Arel-Bundock [aut, cre]
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>

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Package mixtools updated to version 1.2.0 with previous version 1.1.0 dated 2017-03-12

Title: Tools for Analyzing Finite Mixture Models
Description: Analyzes finite mixture models for various parametric and semiparametric settings. This includes mixtures of parametric distributions (normal, multivariate normal, multinomial, gamma), various Reliability Mixture Models (RMMs), mixtures-of-regressions settings (linear regression, logistic regression, Poisson regression, linear regression with changepoints, predictor-dependent mixing proportions, random effects regressions, hierarchical mixtures-of-experts), and tools for selecting the number of components (bootstrapping the likelihood ratio test statistic, mixturegrams, and model selection criteria). Bayesian estimation of mixtures-of-linear-regressions models is available as well as a novel data depth method for obtaining credible bands. This package is based upon work supported by the National Science Foundation under Grant No. SES-0518772.
Author: Derek Young [aut, cre] (<https://orcid.org/0000-0002-3048-3803>), Tatiana Benaglia [aut], Didier Chauveau [aut], David Hunter [aut], Ryan Elmore [ctb], Thomas Hettmansperger [ctb], Hoben Thomas [ctb], Fengjuan Xuan [ctb]
Maintainer: Derek Young <derek.young@uky.edu>

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New package lcyanalysis with initial version 1.0.4
Type: Package
Package: lcyanalysis
Title: Stock Data Analysis Functions
Version: 1.0.4
Date: 2020-02-07
Author: Chun-Yu Liu [aut,cph], Shu-Nung Yao [rev,ths]
Maintainer: Chun-Yu Liu <john401528@gmail.com>
Depends: R (>= 3.3)
Description: Analysis of stock data ups and downs trend, the stock technical analysis indicators function have trend line, reversal pattern and market trend.
Imports: quantmod,TTR,stats,xts,zoo
License: GPL-3
NeedsCompilation: no
LazyData: true
Repository: CRAN
RoxygenNote: 7.0.2
Encoding: UTF-8
Packaged: 2020-02-07 11:11:39 UTC; johnliu
Date/Publication: 2020-02-07 12:10:16 UTC

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Package ggraph updated to version 2.0.1 with previous version 2.0.0 dated 2019-09-02

Title: An Implementation of Grammar of Graphics for Graphs and Networks
Description: The grammar of graphics as implemented in ggplot2 is a poor fit for graph and network visualizations due to its reliance on tabular data input. ggraph is an extension of the ggplot2 API tailored to graph visualizations and provides the same flexible approach to building up plots layer by layer.
Author: Thomas Lin Pedersen [cre, aut] (<https://orcid.org/0000-0002-5147-4711>), RStudio [cph]
Maintainer: Thomas Lin Pedersen <thomasp85@gmail.com>

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New package DFA.CANCOR with initial version 0.1.6
Package: DFA.CANCOR
Type: Package
Title: Linear Discriminant Function and Canonical Correlation Analysis
Version: 0.1.6
Date: 2020-01-26
Author: Brian P. O'Connor
Maintainer: Brian P. O'Connor <brian.oconnor@ubc.ca>
Description: Produces SPSS- and SAS-like output for linear discriminant function analysis and canonical correlation analysis. The methods are described in Manly & Alberto (2017, ISBN:9781498728966), Tabachnik & Fidell (2013, ISBN-10:0-205-89081-4), and Venables & Ripley (2002, ISBN:0-387-95457-0).
Imports: MASS, MVN, graphics, utils, stats
LazyLoad: yes
LazyData: yes
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2020-01-27 05:11:28 UTC; brianoconnor
Repository: CRAN
Date/Publication: 2020-02-07 12:20:12 UTC

More information about DFA.CANCOR at CRAN
Permanent link

Package catdata updated to version 1.2.2 with previous version 1.2.1 dated 2014-11-11

Title: Categorical Data
Description: This R-package contains examples from the book "Regression for Categorical Data", Tutz 2012, Cambridge University Press. The names of the examples refer to the chapter and the data set that is used.
Author: Gunther Schauberger, Gerhard Tutz
Maintainer: Gunther Schauberger <gunther.schauberger@tum.de>

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New package carbonate with initial version 0.1.3
Package: carbonate
Title: Interact with 'carbon.js'
Version: 0.1.3
Authors@R: person(given = "Jonathan", family = "Sidi", role = c("aut", "cre"), email = "yonicd@gmail.com", comment = c(ORCID = "0000-0002-4222-1819"))
Description: Create beautiful images of source code using 'carbon.js'<https://carbon.now.sh/about>.
License: MIT + file LICENSE
URL: https://github.com/yonicd/carbonate
BugReports: https://github.com/yonicd/carbonate/issues
Depends: R (>= 3.2.0)
Imports: clipr, details, httr, magick, R6, RSelenium, rtweet, utils, wdman, yaml
Suggests: covr, knitr, rmarkdown, testthat
VignetteBuilder: knitr
RdMacros: details
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2020-02-07 00:08:54 UTC; yonis
Author: Jonathan Sidi [aut, cre] (<https://orcid.org/0000-0002-4222-1819>)
Maintainer: Jonathan Sidi <yonicd@gmail.com>
Repository: CRAN
Date/Publication: 2020-02-07 12:10:25 UTC

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Package bigsnpr updated to version 1.2.2 with previous version 1.2.1 dated 2020-02-03

Title: Analysis of Massive SNP Arrays
Description: Easy-to-use, efficient, flexible and scalable tools for analyzing massive SNP arrays <doi:10.1093/bioinformatics/bty185>.
Author: Florian Privé [aut, cre], Michael Blum [ths], Hugues Aschard [ths]
Maintainer: Florian Privé <florian.prive.21@gmail.com>

Diff between bigsnpr versions 1.2.1 dated 2020-02-03 and 1.2.2 dated 2020-02-07

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Package jrc updated to version 0.3.1 with previous version 0.3.0 dated 2020-01-14

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>

Diff between jrc versions 0.3.0 dated 2020-01-14 and 0.3.1 dated 2020-02-07

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Package GJRM updated to version 0.2-2 with previous version 0.2-1 dated 2019-10-02

Title: Generalised Joint Regression Modelling
Description: Routines for fitting various joint (and univariate) regression models, with several types of covariate effects, in the presence of equations' errors association, endogeneity, non-random sample selection or partial observability.
Author: Giampiero Marra <giampiero.marra@ucl.ac.uk> and Rosalba Radice <rosalba.radice@city.ac.uk>
Maintainer: Giampiero Marra <giampiero.marra@ucl.ac.uk>

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New package add2ggplot with initial version 0.3.0
Package: add2ggplot
Title: Add to 'ggplot2'
Version: 0.3.0
Authors@R: c(person(given = "Jiaxiang", family = "Li", role = c("aut", "cre"), email = "alex.lijiaxiang@foxmail.com", comment = c(ORCID = "https://orcid.org/0000-0003-3196-6492")), person(given = "Nakagawara", family = "Ryo", role = c("aut"), email = "ryonakagawara@gmail.com"))
Description: Create 'ggplot2' themes and color palettes.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: ggplot2, magrittr, RColorBrewer, magick, zeallot
URL: https://github.com/JiaxiangBU/add2ggplot
BugReports: https://github.com/JiaxiangBU/add2ggplot/issues
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-01-27 07:03:24 UTC; lijiaxiang
Author: Jiaxiang Li [aut, cre] (<https://orcid.org/0000-0003-3196-6492>), Nakagawara Ryo [aut]
Maintainer: Jiaxiang Li <alex.lijiaxiang@foxmail.com>
Repository: CRAN
Date/Publication: 2020-02-07 11:50:02 UTC

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Package spatstat.utils updated to version 1.17-0 with previous version 1.15-0 dated 2019-12-02

Title: Utility Functions for 'spatstat'
Description: Contains utility functions for the 'spatstat' package which may also be useful for other purposes.
Author: Adrian Baddeley [aut, cre] (<https://orcid.org/0000-0001-9499-8382>), Rolf Turner [aut] (<https://orcid.org/0000-0001-5521-5218>), Ege Rubak [aut] (<https://orcid.org/0000-0002-6675-533X>)
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

Diff between spatstat.utils versions 1.15-0 dated 2019-12-02 and 1.17-0 dated 2020-02-07

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Package smurf updated to version 1.0.3 with previous version 1.0.2 dated 2019-11-25

Title: Sparse Multi-Type Regularized Feature Modeling
Description: Implementation of the SMuRF algorithm of Devriendt et al. (2018) <arXiv:1810.03136> to fit generalized linear models (GLMs) with multiple types of predictors via regularized maximum likelihood.
Author: Tom Reynkens [aut, cre] (<https://orcid.org/0000-0002-5516-5107>), Sander Devriendt [aut], Katrien Antonio [aut]
Maintainer: Tom Reynkens <tomreynkens@hotmail.com>

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Package qs updated to version 0.21.1 with previous version 0.20.2 dated 2019-12-02

Title: Quick Serialization of R Objects
Description: Provides functions for quickly writing and reading any R object to and from disk.
Author: Travers Ching [aut, cre, cph], Yann Collet [ctb, cph] (Yann Collet is the author of the bundled zstd and lz4 code), Facebook, Inc. [cph] (Facebook is the copyright holder of the bundled zstd code), Reichardt Tino [ctb, cph] (Contributor/copyright holder of zstd bundled code), Skibinski Przemyslaw [ctb, cph] (Contributor/copyright holder of zstd bundled code), Mori Yuta [ctb, cph] (Contributor/copyright holder of zstd bundled code), Romain Francois [ctb, cph] (Derived example/tutorials for Alt-Rep structures), Francesc Alted [ctb, cph] (Shuffling routines derived from Blosc library)
Maintainer: Travers Ching <traversc@gmail.com>

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Package rfacebookstat updated to version 2.0.1 with previous version 2.0.0 dated 2019-12-17

Title: Load Data from Facebook API Marketing
Description: Load data by campaigns, ads, ad sets and insights, ad account and business manager from Facebook Marketing API into R. For more details see official documents by Facebook Marketing API <https://developers.facebook.com/docs/marketing-apis/>.
Author: Alexey Seleznev <selesnow@gmail.com>
Maintainer: Alexey Seleznev <selesnow@gmail.com>

Diff between rfacebookstat versions 2.0.0 dated 2019-12-17 and 2.0.1 dated 2020-02-07

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Package nlrx updated to version 0.4.1 with previous version 0.4.0 dated 2019-12-03

Title: Setup, Run and Analyze 'NetLogo' Model Simulations from 'R' via 'XML'
Description: Setup, run and analyze 'NetLogo' (<https://ccl.northwestern.edu/netlogo/>) model simulations in 'R'. 'nlrx' experiments use a similar structure as 'NetLogos' Behavior Space experiments. However, 'nlrx' offers more flexibility and additional tools for running and analyzing complex simulation designs and sensitivity analyses. The user defines all information that is needed in an intuitive framework, using class objects. Experiments are submitted from 'R' to 'NetLogo' via 'XML' files that are dynamically written, based on specifications defined by the user. By nesting model calls in future environments, large simulation design with many runs can be executed in parallel. This also enables simulating 'NetLogo' experiments on remote high performance computing machines. In order to use this package, 'Java' and 'NetLogo' (>= 5.3.1) need to be available on the executing system.
Author: Jan Salecker [aut, cre] (<https://orcid.org/0000-0002-9000-4229>), Marco Sciaini [aut] (<https://orcid.org/0000-0002-3042-5435>), Marina Papadopoulou [rev] (Marina reviewed the package for ropensci, see <https://github.com/ropensci/software-review/issues/262>)
Maintainer: Jan Salecker <jsaleck@gwdg.de>

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Package collections updated to version 0.2.4 with previous version 0.2.3 dated 2019-11-02

Title: High Performance Container Data Types
Description: Provides high performance container data types such as Queue, Stack, Deque, Dict and OrderedDict. Benchmarks <https://randy3k.github.io/collections/articles/benchmark.html> have shown that these containers are asymptotically more efficient than those offered by other packages.
Author: Randy Lai [aut, cre], Andrea Mazzoleni [cph] (tommy hash table library)
Maintainer: Randy Lai <randy.cs.lai@gmail.com>

Diff between collections versions 0.2.3 dated 2019-11-02 and 0.2.4 dated 2020-02-07

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Package conquestr updated to version 0.5.1 with previous version 0.3.7 dated 2019-03-08

Title: An R Front End for 'ACER ConQuest'
Description: Extends 'ACER ConQuest' by allowing R users to call 'ACER ConQuest' from within R. Users can also read 'ACER ConQuest' System Files (generated by the command 'put'). This is of particular use to those who are parsing text file output (e.g., 'show' files) as this is not consistent across releases of 'ACER ConQuest'. Requires 'ACER ConQuest' version 4.34.0 or later. A demonstration version can be downloaded from <https://shop.acer.edu.au/acer-conquest-4>.
Author: Dan Cloney [cre, aut], Ray Adams [aut]
Maintainer: Dan Cloney <dan.cloney@acer.org>

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Package utiml updated to version 0.1.6 with previous version 0.1.5 dated 2019-03-16

Title: Utilities for Multi-Label Learning
Description: Multi-label learning strategies and others procedures to support multi- label classification in R. The package provides a set of multi-label procedures such as sampling methods, transformation strategies, threshold functions, pre-processing techniques and evaluation metrics. A complete overview of the matter can be seen in Zhang, M. and Zhou, Z. (2014) <doi:10.1109/TKDE.2013.39> and Gibaja, E. and Ventura, S. (2015) A Tutorial on Multi-label Learning.
Author: Adriano Rivolli [aut, cre]
Maintainer: Adriano Rivolli <rivolli@utfpr.edu.br>

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Package sommer updated to version 4.0.9 with previous version 4.0.8 dated 2019-11-01

Title: Solving Mixed Model Equations in R
Description: Structural multivariate-univariate linear mixed model solver for estimation of multiple random effects and unknown variance-covariance structures (i.e. heterogeneous and unstructured variance models) (Covarrubias-Pazaran, 2016 <doi:10.1371/journal.pone.0156744>; Maier et al., 2015 <doi:10.1016/j.ajhg.2014.12.006>). ML/REML estimates can be obtained using the Direct-Inversion Newton-Raphson and Direct-Inversion Average Information algorithms. Designed for genomic prediction and genome wide association studies (GWAS), particularly focused in the p > n problem (more coefficients than observations) and dense known covariance structures for levels of random effects. Spatial models can also be fitted using i.e. the two-dimensional spline functionality available in sommer.
Author: Giovanny Covarrubias-Pazaran
Maintainer: Giovanny Covarrubias-Pazaran <cova_ruber@live.com.mx>

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Package rscala updated to version 3.2.17 with previous version 3.2.16 dated 2019-10-03

Title: Bridge Between 'R' and 'Scala' with Callbacks
Description: 'Scala' <http://www.scala-lang.org/> is embedded in 'R' and callbacks from 'Scala' to 'R' are available. Support is provided to write 'R' packages that access 'Scala'. After installation, please run 'rscala::scalaConfig()'.
Author: David B. Dahl [aut, cre]
Maintainer: David B. Dahl <dahl@stat.byu.edu>

Diff between rscala versions 3.2.16 dated 2019-10-03 and 3.2.17 dated 2020-02-07

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Package permutations updated to version 1.0-6 with previous version 1.0-5 dated 2019-10-17

Title: The Symmetric Group: Permutations of a Finite Set
Description: Manipulates invertible functions from a finite set to itself. Can transform from word form to cycle form and back.
Author: Robin K. S. Hankin [aut, cre] (<https://orcid.org/0000-0001-5982-0415>)
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

Diff between permutations versions 1.0-5 dated 2019-10-17 and 1.0-6 dated 2020-02-07

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Package PAFit updated to version 1.0.1.7 with previous version 1.0.1.6 dated 2020-01-09

Title: Generative Mechanism Estimation in Temporal Complex Networks
Description: Statistical methods for estimating preferential attachment and node fitness generative mechanisms in temporal complex networks are provided. Thong Pham et al. (2015) <doi:10.1371/journal.pone.0137796>. Thong Pham et al. (2016) <doi:10.1038/srep32558>.
Author: Thong Pham, Paul Sheridan, Hidetoshi Shimodaira
Maintainer: Thong Pham <thongphamthe@gmail.com>

Diff between PAFit versions 1.0.1.6 dated 2020-01-09 and 1.0.1.7 dated 2020-02-07

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Package nat updated to version 1.8.14 with previous version 1.8.13 dated 2019-08-22

Title: NeuroAnatomy Toolbox for Analysis of 3D Image Data
Description: NeuroAnatomy Toolbox (nat) enables analysis and visualisation of 3D biological image data, especially traced neurons. Reads and writes 3D images in NRRD and 'Amira' AmiraMesh formats and reads surfaces in 'Amira' hxsurf format. Traced neurons can be imported from and written to SWC and 'Amira' LineSet and SkeletonGraph formats. These data can then be visualised in 3D via 'rgl', manipulated including applying calculated registrations, e.g. using the 'CMTK' registration suite, and analysed. There is also a simple representation for neurons that have been subjected to 3D skeletonisation but not formally traced; this allows morphological comparison between neurons including searches and clustering (via the 'nat.nblast' extension package).
Author: Gregory Jefferis [aut, cre] (<https://orcid.org/0000-0002-0587-9355>), James Manton [aut] (<https://orcid.org/0000-0001-9260-3156>)
Maintainer: Gregory Jefferis <jefferis@gmail.com>

Diff between nat versions 1.8.13 dated 2019-08-22 and 1.8.14 dated 2020-02-07

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Package Seurat (with last version 3.1.2) was removed from CRAN

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

2019-12-12 3.1.2
2019-10-03 3.1.1
2019-08-20 3.1.0
2019-06-14 3.0.2
2019-05-16 3.0.1
2019-04-15 3.0.0
2018-07-17 2.3.4
2018-07-02 2.3.3
2018-06-12 2.3.2
2018-05-06 2.3.1
2018-03-23 2.3.0
2018-02-14 2.2.1
2018-01-10 2.2.0
2017-10-12 2.1.0
2017-08-22 2.0.1

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Package flying (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:

2020-01-23 0.1.1

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Package BayesMed (with last version 1.0.1) was removed from CRAN

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

2015-02-05 1.0.1
2014-01-28 1.0

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Package TippingPoint (with last version 1.1.0) was removed from CRAN

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

2016-05-03 1.1.0
2016-05-02 1.0.0

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Package SemNeT updated to version 1.1.3 with previous version 1.1.2 dated 2019-10-28

Title: Methods and Measures for Semantic Network Analysis
Description: Implements several functions for the analysis of semantic networks including partial node bootstrapping (Kenett, Anaki, & Faust, 2014 <doi:10.3389/fnhum.2014.00407>), random walk simulation (Kenett & Austerweil, 2016 <http://alab.psych.wisc.edu/papers/files/Kenett16CreativityRW.pdf>), and a function to compute global network measures. Significance tests and plotting features are also implemented.
Author: Alexander P. Christensen [aut, cre] (<https://orcid.org/0000-0002-9798-7037>), Yoed N. Kenett [aut, ctb] (<https://orcid.org/0000-0003-3872-7689>)
Maintainer: Alexander P. Christensen <alexpaulchristensen@gmail.com>

Diff between SemNeT versions 1.1.2 dated 2019-10-28 and 1.1.3 dated 2020-02-07

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Package rbacon updated to version 2.4.0 with previous version 2.3.9.1 dated 2019-07-03

Title: Age-Depth Modelling using Bayesian Statistics
Description: An approach to age-depth modelling that uses Bayesian statistics to reconstruct accumulation histories for deposits, through combining radiocarbon and other dates with prior information. See Blaauw & Christen (2011) <doi:10.1214/11-BA618>.
Author: Maarten Blaauw [aut, cre], J. Andres Christen [aut, ctb, cph], Marco A. Aquino L. [aut], Judith Esquivel Vazquez [ctb], Oscar M. Gonzalez V. [ctb], Ted Belding [cph], James Theiler [cph], Brian Gough [cph], Charles Karney [cph]
Maintainer: Maarten Blaauw <maarten.blaauw@qub.ac.uk>

Diff between rbacon versions 2.3.9.1 dated 2019-07-03 and 2.4.0 dated 2020-02-07

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Package networkABC updated to version 0.6-0 with previous version 0.5-3 dated 2019-03-06

Title: Network Reverse Engineering with Approximate Bayesian Computation
Description: We developed an inference tool based on approximate Bayesian computation to decipher network data and assess the strength of the inferred links between network's actors. It is a new multi-level approximate Bayesian computation (ABC) approach. At the first level, the method captures the global properties of the network, such as scale-freeness and clustering coefficients, whereas the second level is targeted to capture local properties, including the probability of each couple of genes being linked. Up to now, Approximate Bayesian Computation (ABC) algorithms have been scarcely used in that setting and, due to the computational overhead, their application was limited to a small number of genes. On the contrary, our algorithm was made to cope with that issue and has low computational cost. It can be used, for instance, for elucidating gene regulatory network, which is an important step towards understanding the normal cell physiology and complex pathological phenotype. Reverse-engineering consists in using gene expressions over time or over different experimental conditions to discover the structure of the gene network in a targeted cellular process. The fact that gene expression data are usually noisy, highly correlated, and have high dimensionality explains the need for specific statistical methods to reverse engineer the underlying network.
Author: Frederic Bertrand [cre, aut] (<https://orcid.org/0000-0002-0837-8281>), Myriam Maumy-Bertrand [aut] (<https://orcid.org/0000-0002-4615-1512>), Khadija Musayeva [ctb], Nicolas Jung [ctb], Université de Strasbourg [cph], CNRS [cph]
Maintainer: Frederic Bertrand <frederic.bertrand@math.unistra.fr>

Diff between networkABC versions 0.5-3 dated 2019-03-06 and 0.6-0 dated 2020-02-07

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