Tue, 03 Jul 2018

New package pcadapt with initial version 4.0.3
Package: pcadapt
Type: Package
Title: Fast Principal Component Analysis for Outlier Detection
Version: 4.0.3
Date: 2018-06-12
Authors@R: c(person("Keurcien", "Luu", role = c("aut"), email = "keurcien.luu@univ-grenoble-alpes.fr"), person("Michael", "Blum", role = c("aut", "cre"), email = "michael.blum@univ-grenoble-alpes.fr"), person("Florian", "Privé", role = c("aut"), email = "florian.prive.21@gmail.com"), person("Eric", "Bazin", role = c("ctb"), email = "eric.bazin@univ-grenoble-alpes.fr"), person("Nicolas", "Duforet-Frebourg", role = c("ctb")))
Description: Methods to detect genetic markers involved in biological adaptation. 'pcadapt' provides statistical tools for outlier detection based on Principal Component Analysis. Implements the method described in (Luu, 2016) <DOI:10.1111/1755-0998.12592>.
License: GPL (>= 2)
Imports: data.table, ggplot2, magrittr, mmapcharr, plotly, Rcpp (>= 0.12.8), robust, RSpectra, vcfR
LinkingTo: Rcpp, BH, mmapcharr
LazyData: TRUE
Suggests: knitr, rmarkdown, testthat, shiny
RoxygenNote: 6.0.1
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2018-07-03 21:00:07 UTC; mblum
Author: Keurcien Luu [aut], Michael Blum [aut, cre], Florian Privé [aut], Eric Bazin [ctb], Nicolas Duforet-Frebourg [ctb]
Maintainer: Michael Blum <michael.blum@univ-grenoble-alpes.fr>
Repository: CRAN
Date/Publication: 2018-07-03 21:30:03 UTC

More information about pcadapt at CRAN
Permanent link

Package ggedit updated to version 0.3.0 with previous version 0.2.1 dated 2017-04-06

Title: Interactive 'ggplot2' Layer and Theme Aesthetic Editor
Description: Interactively edit 'ggplot2' layer and theme aesthetics definitions.
Author: Jonathan Sidi [aut, cre]
Maintainer: Jonathan Sidi <yonis@metrumrg.com>

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Package GLMMadaptive updated to version 0.2-0 with previous version 0.1-6 dated 2018-06-12

Title: Generalized Linear Mixed Models using Adaptive Gaussian Quadrature
Description: Fits generalized linear mixed models for a single grouping factor under maximum likelihood approximating the integrals over the random effects with an adaptive Gaussian quadrature rule; Jose C. Pinheiro and Douglas M. Bates (1995) <doi:10.1080/10618600.1995.10474663>.
Author: Dimitris Rizopoulos <d.rizopoulos@erasmusmc.nl>
Maintainer: Dimitris Rizopoulos <d.rizopoulos@erasmusmc.nl>

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Package blockseg updated to version 0.5.0 with previous version 0.2 dated 2016-02-10

Title: Two Dimensional Change-Points Detection
Description: Segments a matrix in blocks with constant values. BRAULT V, CHIQUET J. and LEVY-LEDUC C. (2017) <doi:10.1214/17-EJS1270>.
Author: Authors@R: c( person("Julien", "Chiquet", role = c("aut", "cre"), email = "julien.chiquet@inra.fr", comment = c(ORCID = "0000-0002-3629-3429")), person("Vincent", "Brault", email = "vincent.brault@univ-grenoble-alpes.fr", role = "aut", comment = c(ORCID = "0000-0003-4228-6687")))
Maintainer: Vincent Brault <vincent.brault@univ-grenoble-alpes.fr>

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Package rsyslog updated to version 1.0.1 with previous version 1.0.0 dated 2018-07-02

Title: Interface to the 'syslog' System Logger
Description: Functions to write messages to the 'syslog' system logger API, available on all 'POSIX'-compatible operating systems. Features include tagging messages with a priority level and application type, as well as masking (hiding) messages below a given priority level.
Author: Aaron Jacobs [aut, cre], Crescendo Technology Ltd. [cph]
Maintainer: Aaron Jacobs <atheriel@gmail.com>

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Package phateR updated to version 0.2.8 with previous version 0.2.7 dated 2018-06-01

Title: PHATE - Potential of Heat-Diffusion for Affinity-Based Transition Embedding
Description: PHATE is a tool for visualizing high dimensional single-cell data with natural progressions or trajectories. PHATE uses a novel conceptual framework for learning and visualizing the manifold inherent to biological systems in which smooth transitions mark the progressions of cells from one state to another. To see how PHATE can be applied to single-cell RNA-seq datasets from hematopoietic stem cells, human embryonic stem cells, and bone marrow samples, check out our preprint on bioRxiv at <http://biorxiv.org/content/early/2017/03/24/120378>.
Author: Krishnan Srinivasan [aut], Scott Gigante [cre] (<https://orcid.org/0000-0002-4544-2764>)
Maintainer: Scott Gigante <scott.gigante@yale.edu>

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Package optiRum updated to version 0.40.1 with previous version 0.37.3 dated 2015-12-31

Title: Financial Functions & More
Description: This fills the gaps credit analysts and loan modellers at Optimum Credit identify in the existing R code body. It allows for the production of documentation with less coding, replicates a number of Microsoft Excel functions useful for modelling loans (without rounding), and other helpful functions for producing charts and tables. It also has some additional scales for use, including a GBP scale.
Author: Steph Locke [aut, cre], Locke Data [fnd] (https://itsalocke.com/), Optimum Credit Ltd's analysts [fnd] (https://www.optimumcredit.co.uk/), Maëlle Salmon [ctb]
Maintainer: Steph Locke <stephanie.g.locke@gmail.com>

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Package jeek updated to version 1.1.0 with previous version 1.0.0 dated 2018-06-14

Title: A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical Models
Description: Provides a fast and scalable joint estimator for integrating additional knowledge in learning multiple related sparse Gaussian Graphical Models (JEEK). The JEEK algorithm can be used to fast estimate multiple related precision matrices in a large-scale. For instance, it can identify multiple gene networks from multi-context gene expression datasets. By performing data-driven network inference from high-dimensional and heterogeneous data sets, this tool can help users effectively translate aggregated data into knowledge that take the form of graphs among entities. Please run demo(jeek) to learn the basic functions provided by this package. For further details, please read the original paper: Beilun Wang, Arshdeep Sekhon, Yanjun Qi "A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical Models" (ICML 2018) <arXiv:1806.00548>.
Author: Beilun Wang [aut, cre], Yanjun Qi [aut], Zhaoyang Wang [aut]
Maintainer: Beilun Wang <bw4mw@virginia.edu>

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Package diffee updated to version 1.1.0 with previous version 1.0.0 dated 2018-03-06

Title: Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure
Description: This is an R implementation of Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure (DIFFEE). The DIFFEE algorithm can be used to fast estimate the differential network between two related datasets. For instance, it can identify differential gene network from datasets of case and control. By performing data-driven network inference from two high-dimensional data sets, this tool can help users effectively translate two aggregated data blocks into knowledge of the changes among entities between two Gaussian Graphical Model. Please run demo(diffeeDemo) to learn the basic functions provided by this package. For further details, please read the original paper: Beilun Wang, Arshdeep Sekhon, Yanjun Qi (2018) <arXiv:1710.11223>.
Author: Beilun Wang [aut, cre], Yanjun Qi [aut], Zhaoyang Wang [aut]
Maintainer: Beilun Wang <bw4mw@virginia.edu>

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Package smooth updated to version 2.4.5 with previous version 2.4.4 dated 2018-06-03

Title: Forecasting Using State Space Models
Description: Functions implementing Single Source of Error state space models for purposes of time series analysis and forecasting. The package includes Exponential Smoothing, SARIMA, Complex Exponential Smoothing, Simple Moving Average, Vector Exponential Smoothing in state space forms, several simulation functions and intermittent demand state space models.
Author: Ivan Svetunkov [aut, cre] (Lecturer at Centre for Marketing Analytics and Forecasting, Lancaster University, UK)
Maintainer: Ivan Svetunkov <ivan@svetunkov.ru>

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Package speaq updated to version 2.3.3 with previous version 2.3.1 dated 2018-03-27

Title: Tools for Nuclear Magnetic Resonance (NMR) Spectra Alignment, Peak Based Processing, Quantitative Analysis and Visualizations
Description: Makes Nuclear Magnetic Resonance spectroscopy (NMR spectroscopy) data analysis as easy as possible by only requiring a small set of functions to perform an entire analysis. 'speaq' offers the possibility of raw spectra alignment and quantitation but also an analysis based on features whereby the spectra are converted to peaks which are then grouped and turned into features. These features can be processed with any number of statistical tools either included in 'speaq' or available elsewhere on CRAN. More detail can be found in Vu et al. (2011) <doi:10.1186/1471-2105-12-405> and Beirnaert et al. (2018) <doi:10.1371/journal.pcbi.1006018>.
Author: Charlie Beirnaert, Trung Nghia Vu, Pieter Meysman, Kris Laukens and Dirk Valkenborg
Maintainer: Charlie Beirnaert <charlie_beirnaert@icloud.com>

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Package ggplot2 updated to version 3.0.0 with previous version 2.2.1 dated 2016-12-30

Title: Create Elegant Data Visualisations Using the Grammar of Graphics
Description: A system for 'declaratively' creating graphics, based on "The Grammar of Graphics". You provide the data, tell 'ggplot2' how to map variables to aesthetics, what graphical primitives to use, and it takes care of the details.
Author: Hadley Wickham [aut, cre], Winston Chang [aut], Lionel Henry [aut], Thomas Lin Pedersen [aut], Kohske Takahashi [aut], Claus Wilke [aut], Kara Woo [aut], RStudio [cph]
Maintainer: Hadley Wickham <hadley@rstudio.com>

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Package osi (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:

2016-06-21 0.1.0

Permanent link
Package sigr updated to version 0.2.7 with previous version 0.2.6 dated 2018-05-25

Title: Succinct and Correct Statistical Summaries for Reports
Description: Succinctly and correctly format statistical summaries of various models and tests (F-test, Chi-Sq-test, Fisher-test, T-test, and rank-significance). The main purpose is unified reporting and planning of experimental results, working around issue such as the difficulty of extracting model summary facts (such as with 'lm'/'glm'). This package also includes empirical tests, such as bootstrap estimates.
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

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New package GENEAread with initial version 2.0.2
Package: GENEAread
Type: Package
Title: Read GENEA Binary Files
Version: 2.0.2
Date: 2018-07-03
Authors@R: c( person("Zhou", "Fang", role = "aut", email = "ccampbell@mango-solutions.com"), person("Joss", "Langford", role = "aut", email = "joss@activinsights.co.uk"), person("Charles", "Sweetland", role = c("aut","cre"), email = "charles@sweetland-solutions.co.uk"))
Maintainer: Charles Sweetland <charles@sweetland-solutions.co.uk>
Description: Functions and analytics for GENEA-compatible accelerometer data into R objects. See topic 'GENEAread' for an introduction to the package.
License: GPL-2 | GPL-3
Encoding: UTF-8
LazyData: true
Depends: bitops, mmap, GGIR
Suggests: MASS, methods
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2018-07-03 14:59:20 UTC; ActivInsights
Collate: 'AccData.r' 'Recalibrate.R' 'convert.time.R' 'epoch.R' 'get.intervals.r' 'GRtime.r' 'header.info.R' 'parse.time.R' 'read.bin.R' 'stftmod.R' 'svm.R' 'util.R'
Author: Zhou Fang [aut], Joss Langford [aut], Charles Sweetland [aut, cre]
Repository: CRAN
Date/Publication: 2018-07-03 16:40:04 UTC

More information about GENEAread at CRAN
Permanent link

Package scraEP updated to version 1.1 with previous version 1.0 dated 2017-11-15

Title: Scrape European Parliament Careers
Description: A utility to webscrape the in-house careers of members of the European parliament, from its website <http://www.europarl.europa.eu>.
Author: Julien Boelaert <jubo.stats@gmail.com>
Maintainer: Julien Boelaert <jubo.stats@gmail.com>

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Package Rpolyhedra updated to version 0.2.5 with previous version 0.2.4 dated 2018-03-21

Title: Polyhedra Database
Description: A polyhedra database scraped from various sources as R6 objects and 'rgl' visualizing capabilities.
Author: Alejandro Baranek [aut, com, cre, cph], Leonardo Belen [aut, com, cph]
Maintainer: Alejandro Baranek <abaranek@dc.uba.ar>

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 Rpolyhedra-0.2.5/Rpolyhedra/DESCRIPTION                                                                           |    8 
 Rpolyhedra-0.2.5/Rpolyhedra/MD5                                                                                   |  839 ----------
 Rpolyhedra-0.2.5/Rpolyhedra/NAMESPACE                                                                             |   10 
 Rpolyhedra-0.2.5/Rpolyhedra/R/db-lib.R                                                                            |  396 ++++
 Rpolyhedra-0.2.5/Rpolyhedra/R/ledger-lib.R                                                                        |   25 
 Rpolyhedra-0.2.5/Rpolyhedra/R/polyhedra-lib.R                                                                     |   30 
 Rpolyhedra-0.2.5/Rpolyhedra/R/xml-lib.R                                                                           |   65 
 Rpolyhedra-0.2.5/Rpolyhedra/R/zzz.R                                                                               |   45 
 Rpolyhedra-0.2.5/Rpolyhedra/README.md                                                                             |    3 
 Rpolyhedra-0.2.5/Rpolyhedra/build/vignette.rds                                                                    |binary
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Package processmapR updated to version 0.3.2 with previous version 0.3.1 dated 2018-05-22

Title: Construct Process Maps Using Event Data
Description: Visualize of process maps based on event logs, in the form of directed graphs. Part of the 'bupaR' framework.
Author: Gert Janssenswillen [aut, cre], Benoît Depaire [ctb], Felix Mannhardt [ctb], Thijs Beuving [ctb]
Maintainer: Gert Janssenswillen <gert.janssenswillen@uhasselt.be>

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Package petrinetR updated to version 0.2.0 with previous version 0.1.0 dated 2016-08-18

Title: Building, Visualizing, Exporting and Replaying Petri Nets
Description: Functions for the construction of Petri Nets. Petri Nets can be replayed by firing enabled transitions. Silent transitions will be hidden by the execution handler. Also includes functionalities for the visualization of Petri Nets and export of Petri Nets to PNML (Petri Net Markup Language) files.
Author: Gert Janssenswillen [aut, cre]
Maintainer: Gert Janssenswillen <gert.janssenswillen@uhasselt.be>

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Package estudy2 updated to version 0.8.5 with previous version 0.8.4 dated 2018-02-16

Title: An Implementation of Parametric and Nonparametric Event Study
Description: An implementation of a most commonly used event study methodology, including both parametric and nonparametric tests. It contains variety aspects of the rate of return estimation (the core calculation is done in C++), as well as three classical for event study market models: mean adjusted returns, market adjusted returns and single-index market models. There are 6 parametric and 6 nonparametric tests provided, which examine cross-sectional daily abnormal return (see the documentation of the functions for more information). Parametric tests include tests proposed by Brown and Warner (1980) <DOI:10.1016/0304-405X(80)90002-1>, Brown and Warner (1985) <DOI:10.1016/0304-405X(85)90042-X>, Boehmer et al. (1991) <DOI:10.1016/0304-405X(91)90032-F>, Patell (1976) <DOI:10.2307/2490543>, and Lamb (1995) <DOI:10.2307/253695>. Nonparametric tests covered in estudy2 are tests described in Corrado and Zivney (1992) <DOI:10.2307/2331331>, McConnell and Muscarella (1985) <DOI:10.1016/0304-405X(85)90006-6>, Boehmer et al. (1991) <DOI:10.1016/0304-405X(91)90032-F>, Cowan (1992) <DOI:10.1007/BF00939016>, Corrado (1989) <DOI:10.1016/0304-405X(89)90064-0>, Campbell and Wasley (1993) <DOI:10.1016/0304-405X(93)90025-7>, Savickas (2003) <DOI:10.1111/1475-6803.00052>, Kolari and Pynnonen (2010) <DOI:10.1093/rfs/hhq072>. Furthermore, tests for the cumulative abnormal returns proposed by Brown and Warner (1985) <DOI:10.1016/0304-405X(85)90042-X> and Lamb (1995) <DOI:10.2307/253695> are included.
Author: Iegor Rudnytskyi [aut, cre]
Maintainer: Iegor Rudnytskyi <iegor.rudnytskyi@gmail.com>

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Package spup updated to version 1.3-1 with previous version 1.2-1 dated 2018-03-14

Title: Spatial Uncertainty Propagation Analysis
Description: Uncertainty propagation analysis in spatial environmental modelling following methodology described in Heuvelink et al. (2007) <doi:10.1080/13658810601063951> and Brown and Heuvelink (2007) <doi:10.1016/j.cageo.2006.06.015>. The package provides functions for examining the uncertainty propagation starting from input data and model parameters, via the environmental model onto model outputs. The functions include uncertainty model specification, stochastic simulation and propagation of uncertainty using Monte Carlo (MC) techniques. Uncertain variables are described by probability distributions. Both numerical and categorical data types are handled. Spatial auto-correlation within an attribute and cross-correlation between attributes is accommodated for. The MC realizations may be used as input to the environmental models called from R, or externally.
Author: Kasia Sawicka [aut, cre], Gerard Heuvelink [aut], Dennis Walvoort [aut], Stefan van Dam [ctb], Damiano Luzzi [ctb]
Maintainer: Kasia Sawicka <katwic55@ceh.ac.uk>

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Package shinydashboardPlus updated to version 0.3.0 with previous version 0.2.0 dated 2018-05-08

Title: Add some 'AdminLTE2' Components to 'shinydashboard'
Description: Extend 'shinydashboard' with 'AdminLTE2' components. 'AdminLTE2' is a free 'Bootstrap 3' dashboard template available at <https://adminlte.io>. Customize boxes, add timelines and a lot more.
Author: David Granjon [aut, cre], Almasaeed Studio [ctb, cph] (AdminLTE2 theme for Bootstrap 3), Winston Chang [ctb, cph] (Functions from shinydashboard), Victor Perrier [ctb] (improved the shinydashboardPlusGallery)
Maintainer: David Granjon <dgranjon@ymail.com>

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Package piecewiseSEM updated to version 2.0.1 with previous version 2.0.0 dated 2018-06-12

Title: Piecewise Structural Equation Modeling
Description: Implements piecewise structural equation modeling from a single list of structural equations, with new methods for non-linear, latent, and composite variables, standardized coefficients, query-based prediction and indirect effects. See <http://jslefche.github.io/piecewiseSEM/> for more.
Author: Jon Lefcheck [aut, cre], Jarrett Byrnes [aut], James Grace [aut]
Maintainer: Jon Lefcheck <jlefcheck@bigelow.org>

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Package GeneralizedUmatrix updated to version 1.1.2 with previous version 1.0.0 dated 2018-01-31

Title: Credible Visualization for Two-Dimensional Projections of Data
Description: Projections are common dimensionality reduction methods, which represent high-dimensional data in a two-dimensional space. However, when restricting the output space to two dimensions, which results in a two dimensional scatter plot (projection) of the data, low dimensional similarities do not represent high dimensional distances coercively [Thrun, 2018]. This could lead to a misleading interpretation of the underlying structures [Thrun, 2018]. By means of the 3D topographic map the generalized Umatrix is able to depict errors of these two-dimensional scatter plots. The package is based on the book of Thrun, M.C.: "Projection Based Clustering through Self-Organization and Swarm Intelligence" (2018) <DOI:10.1007/978-3-658-20540-9>.
Author: Michael Thrun [aut, cre, cph], Alfred Ultsch [ths]
Maintainer: Michael Thrun <m.thrun@gmx.net>

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Package RSA updated to version 0.9.12 with previous version 0.9.11 dated 2017-09-14

Title: Response Surface Analysis
Description: Advanced response surface analysis. The main function RSA computes and compares several nested polynomial regression models (full polynomial, shifted and rotated squared differences, rising ridge surfaces, basic squared differences). The package provides plotting functions for 3d wireframe surfaces, interactive 3d plots, and contour plots. Calculates many surface parameters (a1 to a4, principal axes, stationary point, eigenvalues) and provides standard, robust, or bootstrapped standard errors and confidence intervals for them.
Author: Felix Schönbrodt [cre, aut], Sarah Humberg [aut]
Maintainer: Felix Schönbrodt <felix@nicebread.de>

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Package MFPCA updated to version 1.2-3 with previous version 1.2-2 dated 2018-05-25

Title: Multivariate Functional Principal Component Analysis for Data Observed on Different Dimensional Domains
Description: Calculate a multivariate functional principal component analysis for data observed on different dimensional domains. The estimation algorithm relies on univariate basis expansions for each element of the multivariate functional data (Happ & Greven, 2018) <doi:10.1080/01621459.2016.1273115>. Multivariate and univariate functional data objects are represented by S4 classes for this type of data implemented in the package 'funData'. For more details on the general concepts of both packages and a case study, see Happ (2018) <arXiv:1707.02129>.
Author: Clara Happ [aut, cre] (<https://orcid.org/0000-0003-4737-3835>)
Maintainer: Clara Happ <clara.happ@stat.uni-muenchen.de>

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Package MCMCglmm updated to version 2.26 with previous version 2.25 dated 2017-10-05

Title: MCMC Generalised Linear Mixed Models
Description: MCMC Generalised Linear Mixed Models.
Author: Jarrod Hadfield
Maintainer: Jarrod Hadfield <j.hadfield@ed.ac.uk>

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Package huxtable updated to version 4.0.1 with previous version 4.0.0 dated 2018-06-02

Title: Easily Create and Style Tables for LaTeX, HTML and Other Formats
Description: Like 'xtable', creates styled tables. Export to HTML, LaTeX, 'Word', 'Excel', 'PowerPoint' and other formats. Simple, modern interface to manipulate borders, size, position, captions, colours, text styles and number formatting. Table cells can span multiple rows and/or columns. Includes a 'huxreg' function for creation of regression tables, and 'quick_*' one-liners to print data to a new document.
Author: David Hugh-Jones [aut, cre]
Maintainer: David Hugh-Jones <davidhughjones@gmail.com>

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Package anytime updated to version 0.3.1 with previous version 0.3.0 dated 2017-06-05

Title: Anything to 'POSIXct' or 'Date' Converter
Description: Convert input in any one of character, integer, numeric, factor, or ordered type into 'POSIXct' (or 'Date') objects, using one of a number of predefined formats, and relying on Boost facilities for date and time parsing.
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package ggeffects updated to version 0.4.0 with previous version 0.3.4 dated 2018-06-08

Title: Create Tidy Data Frames of Marginal Effects for 'ggplot' from Model Outputs
Description: Compute marginal effects at the mean or average marginal effects from statistical models and returns the result as tidy data frames. These data frames are ready to use with the 'ggplot2'-package. Marginal effects can be calculated for many different models. Interaction terms, splines and polynomial terms are also supported. The two main functions are ggpredict() and ggaverage(), however, there are some convenient wrapper-functions especially for polynomials or interactions. There is a generic plot()-method to plot the results using 'ggplot2'.
Author: Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>)
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

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

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2018-03-16 3.1.2
2017-11-22 3.1.1
2017-10-05 3.0.1
2017-08-19 3.0.0
2017-06-19 2.1.5
2017-05-05 2.1.4
2017-02-04 2.1.2
2017-01-27 2.1.1
2016-12-17 2.0.0
2016-10-10 1.0.2
2016-10-03 1.0.1
2016-07-29 0.4.2
2016-07-24 0.4.1

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Package RVPedigree (with last version 0.0.3) was removed from CRAN

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2016-01-20 0.0.3

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Package SNPtools (with last version 1.1) was removed from CRAN

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

2013-07-03 1.1
2013-04-01 1.0

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Package MultiABEL (with last version 1.1-6) was removed from CRAN

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2017-06-15 1.1-6

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Package rphylotastic (with last version 0.0.4) was removed from CRAN

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2018-02-27 0.0.4

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Package scholar updated to version 0.1.7 with previous version 0.1.6 dated 2018-05-23

Title: Analyse Citation Data from Google Scholar
Description: Provides functions to extract citation data from Google Scholar. Convenience functions are also provided for comparing multiple scholars and predicting future h-index values.
Author: Guangchuang Yu [aut, cre] (<https://orcid.org/0000-0002-6485-8781>), James Keirstead [aut], Gregory Jefferis [ctb], Jorge Cimentada [ctb], Max Czapanskiy [ctb]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package IPEC updated to version 0.1.0 with previous version 0.0.9 dated 2017-05-14

Title: Root Mean Square Curvature Calculation
Description: Calculates the RMS intrinsic and parameter-effects curvatures of a nonlinear regression model.
Author: Peijian Shi, Peter Ridland, David A. Ratkowsky
Maintainer: Peijian Shi <peijianshi@gmail.com>

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Package horizon updated to version 1.2 with previous version 1.0 dated 2016-09-09

Title: Horizon Search Algorithm
Description: Calculates horizon elevation angle and sky view factor from a digital terrain model (Dozier and Frew, 1990).
Author: Jasper Van doninck
Maintainer: Jasper Van doninck <vandoninck.jasper@gmail.com>

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Package DatabionicSwarm updated to version 1.1.0 with previous version 1.0.3 dated 2018-05-06

Title: Swarm Intelligence for Self-Organized Clustering
Description: Algorithms implementing populations of agents that interact with one another and sense their environment may exhibit emergent behavior such as self-organization and swarm intelligence. Here, a swarm system called databionic swarm (DBS) is introduced. DBS is able to adapt itself to structures of high-dimensional data such as natural clusters characterized by distance and/or density based structures in the data space. The first module is the parameter-free projection method called Pswarm (Pswarm()), which exploits the concepts of self-organization and emergence, game theory, swarm intelligence and symmetry considerations. The second module is the parameter-free high-dimensional data visualization technique, which generates projected points on the topographic map with hypsometric tints defined by the generalized U-matrix (GeneratePswarmVisualization()). The third module is the clustering method itself with non-critical parameters (DBSclustering()). Clustering can be verified by the visualization and vice versa. The term DBS refers to the method as a whole. It enables even a non-professional in the field of data mining to apply its algorithms for visualization and/or clustering to data sets with completely different structures drawn from diverse research fields. The package is based on the book of Thrun, M.C.: "Projection Based Clustering through Self-Organization and Swarm Intelligence" (2018) <DOI:10.1007/978-3-658-20540-9>. A comparison to 26 common clustering algorithms on 15 datasets is presented on the website.
Author: Michael Thrun [aut, cre, cph]
Maintainer: Michael Thrun <m.thrun@gmx.net>

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Package plotmo updated to version 3.4.2 with previous version 3.4.1 dated 2018-06-08

Title: Plot a Model's Residuals, Response, and Partial Dependence Plots
Description: Plot model surfaces for a wide variety of models using partial dependence plots and other techniques. Also plot model residuals and other information on the model.
Author: Stephen Milborrow
Maintainer: Stephen Milborrow <milbo@sonic.net>

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More information about plotmo at CRAN
Permanent link

Package broom updated to version 0.4.5 with previous version 0.4.4 dated 2018-03-29

Title: Convert Statistical Analysis Objects into Tidy Data Frames
Description: Convert statistical analysis objects from R into tidy data frames, so that they can more easily be combined, reshaped and otherwise processed with tools like 'dplyr', 'tidyr' and 'ggplot2'. The package provides three S3 generics: tidy, which summarizes a model's statistical findings such as coefficients of a regression; augment, which adds columns to the original data such as predictions, residuals and cluster assignments; and glance, which provides a one-row summary of model-level statistics.
Author: David Robinson [aut, cre], Matthieu Gomez [ctb], Boris Demeshev [ctb], Dieter Menne [ctb], Benjamin Nutter [ctb], Luke Johnston [ctb], Ben Bolker [ctb], Francois Briatte [ctb], Jeffrey Arnold [ctb], Jonah Gabry [ctb], Luciano Selzer [ctb], Gavin Simpson [ctb], Jens Preussner [ctb], Jay Hesselberth [ctb], Matthew Lincoln [ctb], Derek Chiu [ctb], Hadley Wickham [ctb]
Maintainer: David Robinson <admiral.david@gmail.com>

Diff between broom versions 0.4.4 dated 2018-03-29 and 0.4.5 dated 2018-07-03

 DESCRIPTION                         |   32 
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More information about broom at CRAN
Permanent link

Package Blendstat updated to version 1.0.2 with previous version 1.0.1 dated 2018-03-06

Title: Joint Analysis of Experiments with Mixtures and Random Effects
Description: Performs a joint analysis of experiments with mixtures and random effects, taking on a process variable represented by a covariable.
Author: Marcelo Angelo Cirillo <macufla@gmail.com> Paulo Cesar Ossani <ossanipc@hotmail.com>
Maintainer: Paulo Cesar Ossani <ossanipc@hotmail.com>

Diff between Blendstat versions 1.0.1 dated 2018-03-06 and 1.0.2 dated 2018-07-03

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More information about Blendstat at CRAN
Permanent link

Package rgbif updated to version 1.0.0 with previous version 0.9.9 dated 2017-11-12

Title: Interface to the Global 'Biodiversity' Information Facility API
Description: A programmatic interface to the Web Service methods provided by the Global Biodiversity Information Facility ('GBIF'; <https://www.gbif.org/developer/summary>). 'GBIF' is a database of species occurrence records from sources all over the globe. 'rgbif' includes functions for searching for taxonomic names, retrieving information on data providers, getting species occurrence records, getting counts of occurrence records, and using the 'GBIF' tile map service to make 'rasters' summarizing huge amounts of data.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>), Vijay Barve [ctb], Dan Mcglinn [ctb], Damiano Oldoni [ctb], Laurens Geffert [ctb], Karthik Ram [ctb]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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More information about rgbif at CRAN
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Package paleotree updated to version 3.1.0 with previous version 3.0.0 dated 2017-10-21

Title: Paleontological and Phylogenetic Analyses of Evolution
Description: Provides tools for transforming, a posteriori time-scaling, and modifying phylogenies containing extinct (i.e. fossil) lineages. In particular, most users are interested in the functions timePaleoPhy(), bin_timePaleoPhy(), cal3TimePaleoPhy() and bin_cal3TimePaleoPhy(), which date cladograms of fossil taxa using stratigraphic data. This package also contains a large number of likelihood functions for estimating sampling and diversification rates from different types of data available from the fossil record (e.g. range data, occurrence data, etc). paleotree users can also simulate diversification and sampling in the fossil record using the function simFossilRecord(), which is a detailed simulator for branching birth-death-sampling processes composed of discrete taxonomic units arranged in ancestor-descendant relationships. Users can use simFossilRecord() to simulate diversification in incompletely sampled fossil records, under various models of morphological differentiation (i.e. the various patterns by which morphotaxa originate from one another), and with time-dependent, longevity-dependent and/or diversity-dependent rates of diversification, extinction and sampling. Additional functions allow users to translate simulated ancestor-descendant data from simFossilRecord() into standard time-scaled phylogenies or unscaled cladograms that reflect the relationships among taxon units.
Author: David W. Bapst, Peter J. Wagner
Maintainer: David W. Bapst <dwbapst@gmail.com>

Diff between paleotree versions 3.0.0 dated 2017-10-21 and 3.1.0 dated 2018-07-03

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More information about paleotree at CRAN
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Package glmmTMB updated to version 0.2.2.0 with previous version 0.2.1.0 dated 2018-05-10

Title: Generalized Linear Mixed Models using Template Model Builder
Description: Fit linear and generalized linear mixed models with various extensions, including zero-inflation. The models are fitted using maximum likelihood estimation via 'TMB' (Template Model Builder). Random effects are assumed to be Gaussian on the scale of the linear predictor and are integrated out using the Laplace approximation. Gradients are calculated using automatic differentiation.
Author: Arni Magnusson [aut], Hans Skaug [aut], Anders Nielsen [aut], Casper Berg [aut], Kasper Kristensen [aut], Martin Maechler [aut], Koen van Bentham [aut], Ben Bolker [aut], Mollie Brooks [aut, cre]
Maintainer: Mollie Brooks <mollieebrooks@gmail.com>

Diff between glmmTMB versions 0.2.1.0 dated 2018-05-10 and 0.2.2.0 dated 2018-07-03

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More information about glmmTMB at CRAN
Permanent link


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