Tue, 30 Apr 2019

Package reproducer updated to version 0.3.0 with previous version 0.2.1 dated 2018-11-05

Title: Reproduce Statistical Analyses and Meta-Analyses
Description: Includes data analysis functions (e.g., to calculate effect sizes and 95% Confidence Intervals (CI) on Standardised Effect Sizes (d) for ABBA cross-over repeated-measures experimental designs), data presentation functions (e.g., density curve overlaid on histogram), and the data sets analyzed in different research papers in software engineering (e.g., related to software defect prediction or multi-site experiment concerning the extent to which structured abstracts were clearer and more complete than conventional abstracts) to streamline reproducible research in software engineering.
Author: Lech Madeyski [cre, aut, ctb], Barbara Kitchenham [ctb] (Data and code contributor), Tomasz Lewowski [ctb] (Data and code contributor), Marian Jureczko [ctb] (Data contributor), David Budgen [ctb] (Data contributor), Pearl Brereton [ctb] (Data contributor), Jacky Keung [ctb] (Data contributor), Stuart Charters [ctb] (Data contributor), Shirley Gibbs [ctb] (Data contributor), Amnart Pohthong [ctb] (Data contributor)
Maintainer: Lech Madeyski <lech.madeyski@gmail.com>

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Package moveVis updated to version 0.10.2 with previous version 0.10.1 dated 2019-04-11

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 HLSM updated to version 0.8.1 with previous version 0.8 dated 2018-05-26

Title: Hierarchical Latent Space Network Model
Description: Implements Hierarchical Latent Space Network Model (HLSM) for ensemble of networks as described in Sweet et. al. (2012). <DOI:10.3102/1076998612458702>.
Author: Samrachana Adhikari, Brian Junker, Tracy Sweet, Andrew C. Thomas
Maintainer: Aditya Bhat<adiravbhat@gmail.com>

Diff between HLSM versions 0.8 dated 2018-05-26 and 0.8.1 dated 2019-04-30

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Package canvasXpress updated to version 1.23.9 with previous version 1.23.3 dated 2019-02-25

Title: Visualization Package for CanvasXpress in R
Description: Enables creation of visualizations using the CanvasXpress framework in R. CanvasXpress is a standalone JavaScript library for reproducible research with complete tracking of data and end-user modifications stored in a single PNG image that can be played back. See <http://canvasxpress.org> for more information.
Author: Isaac Neuhaus [aut], Connie Brett [aut, cre]
Maintainer: Connie Brett <connie@aggregate-genius.com>

Diff between canvasXpress versions 1.23.3 dated 2019-02-25 and 1.23.9 dated 2019-04-30

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New package aLFQ with initial version 1.3.5
Package: aLFQ
Type: Package
Title: Estimating Absolute Protein Quantities from Label-Free LC-MS/MS Proteomics Data
Version: 1.3.5
Date: 2019-04-30
Author: George Rosenberger, Hannes Roest, Christina Ludwig, Ruedi Aebersold, Lars Malmstroem
Maintainer: George Rosenberger <gr2578@cumc.columbia.edu>
Depends: R (>= 2.15.0)
Imports: data.table, plyr, caret, seqinr, lattice, randomForest, ROCR, reshape2, protiq, bio3d
Suggests: testthat
Description: Determination of absolute protein quantities is necessary for multiple applications, such as mechanistic modeling of biological systems. Quantitative liquid chromatography tandem mass spectrometry (LC-MS/MS) proteomics can measure relative protein abundance on a system-wide scale. To estimate absolute quantitative information using these relative abundance measurements requires additional information such as heavy-labeled references of known concentration. Multiple methods have been using different references and strategies; some are easily available whereas others require more effort on the users end. Hence, we believe the field might benefit from making some of these methods available under an automated framework, which also facilitates validation of the chosen strategy. We have implemented the most commonly used absolute label-free protein abundance estimation methods for LC-MS/MS modes quantifying on either MS1-, MS2-levels or spectral counts together with validation algorithms to enable automated data analysis and error estimation. Specifically, we used Monte-carlo cross-validation and bootstrapping for model selection and imputation of proteome-wide absolute protein quantity estimation. Our open-source software is written in the statistical programming language R and validated and demonstrated on a synthetic sample.
License: GPL (>= 3)
URL: https://github.com/aLFQ
NeedsCompilation: no
Repository: CRAN
Packaged: 2019-04-30 18:54:04 UTC; gr2578
Date/Publication: 2019-04-30 21:00:19 UTC

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Package spatialrisk updated to version 0.6.1 with previous version 0.6.0 dated 2019-04-08

Title: Calculating Concentration Risk under Solvency II
Description: Methods for determining spatial risk, in particular calculating the maximum value of insured fire risk policies of all buildings that are partly or fully located within circle of a radius of 200m.
Author: Martin Haringa
Maintainer: Martin Haringa <mtharinga@gmail.com>

Diff between spatialrisk versions 0.6.0 dated 2019-04-08 and 0.6.1 dated 2019-04-30

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Package iBreakDown updated to version 0.9.6 with previous version 0.9.5 dated 2019-04-04

Title: Model Agnostic Instance Level Variable Attributions
Description: Model agnostic tool for decomposition of predictions from black boxes. Supports additive attributions and attributions with interactions. The Break Down Table shows contributions of every variable to a final prediction. The Break Down Plot presents variable contributions in a concise graphical way. This package works for classification and regression models. It is an extension of the 'breakDown' package (Staniak and Biecek 2018) <doi:10.32614/RJ-2018-072>, with new and faster strategies for orderings. It supports interactions in explanations and has interactive visuals (implemented with 'D3.js' library). The methodology behind is described in the 'iBreakDown' article (Gosiewska and Biecek 2019) <arXiv:1903.11420> This package is a part of the 'DrWhy.AI' universe (Biecek 2018) <arXiv:1806.08915>.
Author: Przemyslaw Biecek [aut, cre], Alicja Gosiewska [aut], Dariusz Komosinski [ctb]
Maintainer: Przemyslaw Biecek <przemyslaw.biecek@gmail.com>

Diff between iBreakDown versions 0.9.5 dated 2019-04-04 and 0.9.6 dated 2019-04-30

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New package waveformlidar with initial version 1.1.0
Package: waveformlidar
Type: Package
Title: Waveform LiDAR Data Processing and Analysis
Version: 1.1.0
Date: 2019-04-24
Authors@R: person("Tan", "Zhou", email = "tankchow12@gmail.com", role = c("aut", "cre"))
Depends: R (>= 3.3.0)
Maintainer: Tan Zhou <tankchow12@gmail.com>
Imports: data.table (>= 1.9.7), caTools, minpack.lm, flux, raster (>= 2.8.0), rgdal (>= 1.3.0), sp, rgeos (>= 0.3.8), sqldf, splitstackshape, reshape2
Suggests: knitr, rPeaks
Additional_repositories: https://tankwin08.github.io/drat
Description: A wealth of Full Waveform (FW) Light Detection and Ranging (LiDAR) data are available to the public from different sources, which is poised to boost the extensive application of FW LiDAR data. However, we lack a handy and open source tool that can be used by ecological and remote sensing communities for processing and analyzing FW LiDAR data. To this end, we introduce 'waveformlidar', an R package dedicated to FW LiDAR processing, analysis and visualization as a solution to the constraint. Specifically, this package provides several commonly used waveform processing methods such as Gaussian, adaptive Gaussian and Weibull decompositions, and deconvolution approaches (Gold and Richard-Lucy (RL)) with customized settings. In addition, we also develop some functions to derive commonly used waveform metrics for characterizing vegetation structure. Moreover, a new way to directly visualize FW LiDAR data is developed through converting waveforms into points to form the Hyper Point cloud (HPC), which can be easily adopted and subsequently analyzed with existing discrete-return LiDAR processing tools such as 'LAStools' and 'FUSION'. Basic explorations of the HPC such as 3D voxelization of the HPC and conversion from original waveforms to composite waveforms are also available in this package. All of these functions are developed based on small-footprint FW LiDAR data, but they can be easily transplanted to the large footprint FW LiDAR data such as Geoscience Laser Altimeter System (GLAS) and Global Ecosystem Dynamics Investigation (GEDI) data analysis. References: Zhou et al. (2017a) <doi:10.1016/j.isprsjprs.2017.04.021>; Zhou et al. (2017b) <doi:10.1016/j.rse.2017.08.012>; Zhou et al. (2018a) <doi:10.3390/rs10010039>;Zhou et al. (2018b) <doi:10.3390/rs10121949>.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
URL: https://github.com/tankwin08/waveformlidar,
BugReports: https://github.com/tankwin08/waveformlidar/issues
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-04-25 15:58:44 UTC; tank
Author: Tan Zhou [aut, cre]
Repository: CRAN
Date/Publication: 2019-04-30 16:20:04 UTC

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Package TcGSA updated to version 0.12.4 with previous version 0.12.2 dated 2019-01-16

Title: Time-Course Gene Set Analysis
Description: Implementation of Time-course Gene Set Analysis (TcGSA), a method for analyzing longitudinal gene-expression data at the gene set level.
Author: Boris P. Hejblum [aut, cre], Damien Chimits [aut], Anthony Devaux [aut]
Maintainer: Boris P. Hejblum <boris.hejblum@u-bordeaux.fr>

Diff between TcGSA versions 0.12.2 dated 2019-01-16 and 0.12.4 dated 2019-04-30

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Package sensobol updated to version 0.2.0 with previous version 0.1.1 dated 2019-03-12

Title: Computation of High-Order Sobol' Sensitivity Indices
Description: It allows to rapidly compute, bootstrap and plot up to third-order Sobol' indices using the estimators by Saltelli et al. 2010 <doi:10.1016/j.cpc.2009.09.018> and Jansen 1999 <doi:10.1016/S0010-4655(98)00154-4>. The 'sensobol' package also implements the algorithm by Khorashadi Zadeh et al. 2017 <doi:10.1016/j.envsoft.2017.02.001> to calculate the approximation error in the computation of Sobol' first and total indices, an approach that allows to robustly screen influential from non-influential model inputs. Finally, it also provides functions to obtain publication-ready figures of the model output uncertainty and sensitivity-related analysis.
Author: Arnald Puy [aut, cre] (<https://orcid.org/0000-0001-9469-2156>), Bertrand Ioos [ctb] (Author of included 'sensitivity' fragments), Gilles Pujol [ctb] (Author of included 'sensitivity' fragments), RStudio [cph] (Copyright holder of included 'sensitivity' fragments)
Maintainer: Arnald Puy <arnald.puy@gmail.com>

Diff between sensobol versions 0.1.1 dated 2019-03-12 and 0.2.0 dated 2019-04-30

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New package ryandexdirect with initial version 3.1.5
Package: ryandexdirect
Type: Package
Title: Load Data From 'Yandex Direct'
Version: 3.1.5
Date: 2019-04-30
Description: Load data from 'Yandex Direct' API V5 <https://tech.yandex.ru/direct/doc/dg/concepts/about-docpage/> into R. Provide function for load lists of campaings, ads, keywords and other objects from 'Yandex Direct' account. Also you can load statistic from API 'Reports Service' <https://tech.yandex.ru/direct/doc/reports/reports-docpage/>.
License: GPL-2
Authors@R: c(person(given = "Alexey", family = "Seleznev", role = c("aut", "cre"), email = "selesnow@gmail.com"))
Author: Alexey Seleznev [aut, cre]
Maintainer: Alexey Seleznev <selesnow@gmail.com>
Depends: R (>= 3.5.0)
BugReports: https://github.com/selesnow/ryandexdirect/issues
URL: https://selesnow.github.io/ryandexdirect
Imports: utils, httr, bitops, jsonlite, xml2, data.table, readr, magrittr, dplyr
Suggests: knitr, rmarkdown
Encoding: UTF-8
Language: ru
NeedsCompilation: no
Packaged: 2019-04-30 07:57:01 UTC; Alsey
Repository: CRAN
Date/Publication: 2019-04-30 16:30:06 UTC

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New package ltmix with initial version 0.2.0
Package: ltmix
Type: Package
Title: Left-Truncated Mixtures of Gamma, Weibull, and Lognormal Distributions
Version: 0.2.0
Author: Martin Blostein <martin.blostein@gmail.com> and Tatjana Miljkovic <miljkot@miamioh.edu>
Maintainer: Martin Blostein <martin.blostein@gmail.com>
Description: Mixture modelling of one-dimensional data using combinations of left-truncated Gamma, Weibull, and Lognormal Distributions. Blostein, Martin & Miljkovic, Tatjana. (2019) <10.1016/j.insmatheco.2018.12.001>.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Imports: gtools, pracma
NeedsCompilation: no
Packaged: 2019-04-30 04:45:23 UTC; martin
Repository: CRAN
Date/Publication: 2019-04-30 16:30:10 UTC

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New package leafem with initial version 0.0.1
Package: leafem
Type: Package
Title: 'leaflet' Extensions for 'mapview'
Version: 0.0.1
Authors@R: c(person(given = "Tim", family = "Appelhans", role = c("cre", "aut"), email = "tim.appelhans@gmail.com"), person(given = "Christoph", family = "Reudenbach", role = "ctb", email = "reudenbach@geo.uni-marburg.de"), person(given = "Kenton", family = "Russell", role = "ctb"), person(given = "Jochen", family = "Darley", role = "ctb", email = "Debugger@jedimasters.de"), person(given = "Daniel", family = "Montague", role = c("ctb"), comment = "Leaflet.EasyButton plugin"))
Maintainer: Tim Appelhans <tim.appelhans@gmail.com>
Description: Provides extensions for package 'leaflet', many of which are used by package 'mapview'. Focus is on functionality readily available in Geographic Information Systems such as 'Quantum GIS'. Includes functions to display coordinates of mouse pointer position, query image values via mouse pointer and zoom-to-layer buttons. Additionally, provides a feature type agnostic function to add points, lines, polygons to a map.
License: MIT + file LICENSE
URL: https://github.com/r-spatial/leafem
BugReports: https://github.com/r-spatial/leafem/issues
Depends: R (>= 3.1.0)
Imports: htmltools (>= 0.3), htmlwidgets, leaflet (>= 2.0.1), raster, sf, sp
Suggests: gdalUtils, plainview, png
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2019-04-26 17:32:33 UTC; timpanse
Author: Tim Appelhans [cre, aut], Christoph Reudenbach [ctb], Kenton Russell [ctb], Jochen Darley [ctb], Daniel Montague [ctb] (Leaflet.EasyButton plugin)
Repository: CRAN
Date/Publication: 2019-04-30 16:20:09 UTC

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Package glmmML updated to version 1.1.0 with previous version 1.0.3 dated 2018-03-25

Title: Generalized Linear Models with Clustering
Description: Binomial and Poisson regression for clustered data, fixed and random effects with bootstrapping.
Author: Göran Broström
Maintainer: Göran Broström <goran.brostrom@umu.se>

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Package giphyr updated to version 0.2.0 with previous version 0.1.3 dated 2018-11-14

Title: R Interface to the Giphy API
Description: An interface to the 'API' of 'Giphy', a popular index-based search engine for 'GIFs' and animated stickers (see <http://giphy.com/faq> and <https://github.com/Giphy/GiphyAPI> for more information about 'Giphy' and its 'API') . This package also provides a 'RStudio Addin', which can help users easily search and download 'GIFs' and insert them to a 'rmarkdown' presentation.
Author: Hao Zhu [aut, cre] (<https://orcid.org/0000-0002-3386-6076>)
Maintainer: Hao Zhu <haozhu233@gmail.com>

Diff between giphyr versions 0.1.3 dated 2018-11-14 and 0.2.0 dated 2019-04-30

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Package TLMoments updated to version 0.7.4.3 with previous version 0.7.4.1 dated 2019-01-02

Title: Calculate TL-Moments and Convert Them to Distribution Parameters
Description: Calculates empirical TL-moments (trimmed L-moments) of arbitrary order and trimming, and converts them to distribution parameters.
Author: Jona Lilienthal
Maintainer: Jona Lilienthal <lilienthal@statistik.tu-dortmund.de>

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Package officer updated to version 0.3.4 with previous version 0.3.3 dated 2019-03-01

Title: Manipulation of Microsoft Word and PowerPoint Documents
Description: Access and manipulate 'Microsoft Word' and 'Microsoft PowerPoint' documents from R. The package focuses on tabular and graphical reporting from R; it also provides two functions that let users get document content into data objects. A set of functions lets add and remove images, tables and paragraphs of text in new or existing documents. When working with 'PowerPoint' presentations, slides can be added or removed; shapes inside slides can also be added or removed. When working with 'Word' documents, a cursor can be used to help insert or delete content at a specific location in the document. The package does not require any installation of Microsoft products to be able to write Microsoft files.
Author: David Gohel [aut, cre], Frank Hangler [ctb] (function body_replace_all_text), Liz Sander [ctb] (several documentation fixes), Anton Victorson [ctb] (fixes xml structures), Jon Calder [ctb] (update vignettes), John Harrold [ctb] (fuction annotate_base)
Maintainer: David Gohel <david.gohel@ardata.fr>

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Package IRkernel updated to version 1.0.0 with previous version 0.8.15 dated 2019-01-07

Title: Native R Kernel for the 'Jupyter Notebook'
Description: The R kernel for the 'Jupyter' environment executes R code which the front-end ('Jupyter Notebook' or other front-ends) submits to the kernel via the network.
Author: Thomas Kluyver [aut, cph], Philipp Angerer [aut, cph, cre] (<https://orcid.org/0000-0002-0369-2888>), Jan Schulz [aut, cph], Karthik Ram [aut, cph]
Maintainer: Philipp Angerer <phil.angerer@gmail.com>

Diff between IRkernel versions 0.8.15 dated 2019-01-07 and 1.0.0 dated 2019-04-30

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Package DJL updated to version 3.0 with previous version 2.9.2 dated 2019-03-05

Title: Distance Measure Based Judgment and Learning
Description: Implements various decision support tools related to the Econometrics & Technometrics. Subroutines include correlation reliability test, Mahalanobis distance measure for outlier detection, combinatorial search (all possible subset regression), non-parametric efficiency analysis measures: DDF (directional distance function), DEA (data envelopment analysis), HDF (hyperbolic distance function), SBM (slack-based measure), and SF (shortage function), benchmarking, Malmquist productivity analysis, risk analysis, technology adoption model, new product target setting, etc.
Author: Dong-Joon Lim, PhD
Maintainer: Dong-Joon Lim <tgno3.com@gmail.com>

Diff between DJL versions 2.9.2 dated 2019-03-05 and 3.0 dated 2019-04-30

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Package ClimProjDiags updated to version 0.0.3 with previous version 0.0.2 dated 2018-12-10

Title: Set of Tools to Compute Various Climate Indices
Description: Set of tools to compute metrics and indices for climate analysis. The package provides functions to compute extreme indices, evaluate the agreement between models and combine theses models into an ensemble. Multi-model time series of climate indices can be computed either after averaging the 2-D fields from different models provided they share a common grid or by combining time series computed on the model native grid. Indices can be assigned weights and/or combined to construct new indices.
Author: BSC-CNS [aut, cph], Alasdair Hunter [aut], Nuria Perez-Zanon [aut, cre], Nicolau Manubens [ctb], Louis-Philippe Caron [ctb]
Maintainer: Nuria Perez-Zanon <nuria.perez@bsc.es>

Diff between ClimProjDiags versions 0.0.2 dated 2018-12-10 and 0.0.3 dated 2019-04-30

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Package msgpack (with last version 1.0) was removed from CRAN

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

2018-02-22 1.0

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Package gesis (with last version 0.2.2) was removed from CRAN

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

2019-04-24 0.2.2
2017-01-30 0.2.1
2016-08-16 0.2
2015-11-30 0.1

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Package KTensorGraphs (with last version 0.1) was removed from CRAN

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

2016-12-27 0.1

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New package michelRodange with initial version 1.0.0
Package: michelRodange
Type: Package
Title: The Works (in Luxembourguish) of Michel Rodange
Version: 1.0.0
Authors@R: person("Bruno André", "Rodrigues coelho", email = "bruno@brodrigues.co", role = c("aut", "cre"))
Description: Michel Rodange was a Luxembourguish writer and poet who lived in the 19th century. His most notable work is Rodange (1872, ISBN:1166177424), ("Renert oder de Fuuß am Frack an a Ma'nsgrëßt"), but he also wrote many more works, including Rodange, Tockert (1928) <https://www.autorenlexikon.lu/page/document/361/3614/1/FRE/index.html> ("D'Léierchen - Dem Léiweckerche säi Lidd") and Rodange, Welter (1929) <https://www.autorenlexikon.lu/page/document/361/3615/1/FRE/index.html> ("Dem Grow Sigfrid seng Goldkuommer"). This package contains three datasets, each made from the plain text versions of his works available on <https://data.public.lu/fr/datasets/the-works-in-luxembourguish-of-michel-rodange/>.
URL: https://github.com/b-rodrigues/michelRodange
BugReports: https://github.com/b-rodrigues/michelRodange/issues
License: CC0
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Imports: magrittr
Depends: R (>= 2.10)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-04-27 22:58:59 UTC; cbrunos
Author: Bruno André Rodrigues coelho [aut, cre]
Maintainer: Bruno André Rodrigues coelho <bruno@brodrigues.co>
Repository: CRAN
Date/Publication: 2019-04-30 10:30:03 UTC

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New package haploR with initial version 3.0.1
Package: haploR
Type: Package
Title: Query 'HaploReg', 'RegulomeDB'
Version: 3.0.1
Date: 2019-04-28
Authors@R: c(person(c("Ilya", "Y."), "Zhbannikov", email = "ilya.zhbannikov@duke.edu", role = c("aut", "cre")), person(c("Konstantin", "G."), "Arbeev", email = "konstantin.arbeev@duke.edu", role = c("aut")), person(c("Anatoliy", "I."), "Yashin", email = "aiy@duke.edu", role = c("aut")))
Maintainer: Ilya Y. Zhbannikov <ilya.zhbannikov@duke.edu>
Description: A set of utilities for querying 'HaploReg' <http://archive.broadinstitute.org/mammals/haploreg/haploreg.php>, 'RegulomeDB' <http://www.regulomedb.org> web-based tools. The package connects to 'HaploReg', 'RegulomeDB' searches and downloads results, without opening web pages, directly from R environment. Results are stored in a data frame that can be directly used in various kinds of downstream analyses.
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown,openxlsx
VignetteBuilder: knitr
Imports: httr,XML,tibble,RUnit,plyr,DT,RCurl
Depends: R (>= 3.4.0)
Encoding: UTF-8
License: GPL-3
NeedsCompilation: no
Packaged: 2019-04-30 01:28:32 UTC; ilya
Author: Ilya Y. Zhbannikov [aut, cre], Konstantin G. Arbeev [aut], Anatoliy I. Yashin [aut]
Repository: CRAN
Date/Publication: 2019-04-30 09:10:03 UTC

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Package lmtest updated to version 0.9-37 with previous version 0.9-36 dated 2018-04-04

Title: Testing Linear Regression Models
Description: A collection of tests, data sets, and examples for diagnostic checking in linear regression models. Furthermore, some generic tools for inference in parametric models are provided.
Author: Torsten Hothorn [aut] (<https://orcid.org/0000-0001-8301-0471>), Achim Zeileis [aut, cre] (<https://orcid.org/0000-0003-0918-3766>), Richard W. Farebrother [aut] (pan.f), Clint Cummins [aut] (pan.f), Giovanni Millo [ctb], David Mitchell [ctb]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

Diff between lmtest versions 0.9-36 dated 2018-04-04 and 0.9-37 dated 2019-04-30

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Package umap updated to version 0.2.1.0 with previous version 0.2.0.0 dated 2018-07-25

Title: Uniform Manifold Approximation and Projection
Description: Uniform manifold approximation and projection is a technique for dimension reduction. The algorithm was described by McInnes and Healy (2018) in <arXiv:1802.03426>. This package provides an interface for two implementations. One is written from scratch, including components for nearest-neighbor search and for embedding. The second implementation is a wrapper for 'python' package 'umap-learn' (requires separate installation, see vignette for more details).
Author: Tomasz Konopka [aut, cre]
Maintainer: Tomasz Konopka <tokonopka@gmail.com>

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Package shinyFiles updated to version 0.7.3 with previous version 0.7.2 dated 2018-11-12

Title: A Server-Side File System Viewer for Shiny
Description: Provides functionality for client-side navigation of the server side file system in shiny apps. In case the app is running locally this gives the user direct access to the file system without the need to "download" files to a temporary location. Both file and folder selection as well as file saving is available.
Author: Thomas Lin Pedersen [cre, aut], Vincent Nijs [aut], Thomas Schaffner [aut], Eric Nantz [aut]
Maintainer: Thomas Lin Pedersen <thomasp85@gmail.com>

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Package sdnet updated to version 2.4.1 with previous version 2.4.0 dated 2019-04-22

Title: Soft-Discretization-Based Bayesian Network Inference
Description: Fitting discrete Bayesian networks using soft-discretized data. Soft-discretization is based on mixture of normal distributions. Also implemented is a supervised Bayesian network learning employing Kullback-Leibler divergence. For more information see Balov (2013) <DOI:10.1186/1755-8794-6-S3-S1>.
Author: Nikolay Balov
Maintainer: Nikolay Balov <nhbalov@gmail.com>

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Package Rsmlx updated to version 2.0.2 with previous version 1.1.0 dated 2018-07-16

Title: R Speaks 'Monolix'
Description: Provides methods for model building and model evaluation of mixed effects models using 'Monolix' <http://monolix.lixoft.com>. 'Monolix' is a software tool for nonlinear mixed effects modeling that must have been installed in order to use 'Rsmlx'. Among other tasks, 'Rsmlx' provides a powerful tool for automatic PK model building, performs statistical tests for model assessment, bootstrap simulation and likelihood profiling for computing confidence intervals. 'Rsmlx' also proposes several automatic covariate search methods for mixed effects models.
Author: Marc Lavielle [aut, cre], Jonathan Chauvin [aut], Duc-Dung Tran [ctb]
Maintainer: Marc Lavielle <Marc.Lavielle@inria.fr>

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 52 files changed, 1831 insertions(+), 787 deletions(-)

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Package DeclareDesign updated to version 0.18.0 with previous version 0.16.0 dated 2019-01-26

Title: Declare and Diagnose Research Designs
Description: Researchers can characterize and learn about the properties of research designs before implementation using `DeclareDesign`. Ex ante declaration and diagnosis of designs can help researchers clarify the strengths and limitations of their designs and to improve their properties, and can help readers evaluate a research strategy prior to implementation and without access to results. It can also make it easier for designs to be shared, replicated, and critiqued.
Author: Graeme Blair [aut, cre] (<https://orcid.org/0000-0001-9164-2102>), Jasper Cooper [aut] (<https://orcid.org/0000-0002-8639-3188>), Alexander Coppock [aut] (<https://orcid.org/0000-0002-5733-2386>), Macartan Humphreys [aut] (<https://orcid.org/0000-0001-7029-2326>), Neal Fultz [aut]
Maintainer: Graeme Blair <graeme.blair@ucla.edu>

Diff between DeclareDesign versions 0.16.0 dated 2019-01-26 and 0.18.0 dated 2019-04-30

 DESCRIPTION                                        |   12 +-
 MD5                                                |   54 +++++-----
 NAMESPACE                                          |    7 +
 NEWS.md                                            |    5 
 R/aaa.R                                            |    9 +
 R/compare_designs.R                                |only
 R/declare_diagnosands.R                            |   37 ++++++
 R/declare_estimator.R                              |    2 
 R/declare_reveal.R                                 |    2 
 R/design_helper_functions.R                        |    8 +
 R/diagnose_design.R                                |   34 +++---
 R/diagnosis_helper_functions.R                     |    1 
 R/draw_functions.R                                 |   11 +-
 R/get_functions.R                                  |   27 ++++-
 R/modify_design.R                                  |    8 +
 R/redesign.R                                       |    2 
 R/set_citation.R                                   |    2 
 R/set_diagnosands.R                                |   16 ++-
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 man/post_design.Rd                                 |    2 
 man/set_diagnosands.Rd                             |   11 +-
 tests/testthat/test-allow-custom-functions.R       |   11 ++
 tests/testthat/test-alternative-df-compatibility.R |   17 +++
 tests/testthat/test-compare-designs.R              |  112 ++++++++++++++-------
 tests/testthat/test-diagnose-design.R              |   25 ++++
 tests/testthat/test-get-estimates.R                |   32 ++++++
 tests/testthat/test-get-star.R                     |    6 +
 tests/testthat/test-reshape-diagnosis.R            |   23 ++++
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Package gld updated to version 2.4.2 with previous version 2.4.1 dated 2016-12-05

Title: Estimation and Use of the Generalised (Tukey) Lambda Distribution
Description: The generalised lambda distribution, or Tukey lambda distribution, provides a wide variety of shapes with one functional form. This package provides random numbers, quantiles, probabilities, densities and density quantiles for four different types of the distribution; see documentation for details. It provides the density function, distribution function, and Quantile-Quantile plots. It implements a variety of estimation methods for the distribution, including diagnostic plots. Estimation methods include the starship (all 4 types), method of L-Moments for the GPD and FKML types, and a number of methods for only the FKML parameterisation. These include maximum likelihood, maximum product of spacings, Titterington's method, Moments, Trimmed L-Moments and Distributional Least Absolutes.
Author: Robert King <Robert.King@newcastle.edu.au>, Benjamin Dean <Benjamin.Dean@uon.edu.au>, Sigbert Klinke, Paul van Staden
Maintainer: Robert King <Robert.King@newcastle.edu.au>

Diff between gld versions 2.4.1 dated 2016-12-05 and 2.4.2 dated 2019-04-30

 Changelog                   |    9 +++++
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 man/fit.gpd.Rd              |    2 -
 man/gl.check.lambda.Rd      |   10 +++---
 man/gld.lmoments.Rd         |    2 +
 man/plot.starship.Rd        |    6 +--
 src/init.c                  |only
 21 files changed, 179 insertions(+), 63 deletions(-)

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Package periscope updated to version 0.4.2 with previous version 0.4.1 dated 2019-03-06

Title: Enterprise Streamlined 'Shiny' Application Framework
Description: An enterprise-targeted scalable and UI-standardized 'shiny' framework including a variety of developer convenience functions with the goal of both streamlining robust application development while assisting with creating a consistent user experience regardless of application or developer.
Author: Constance Brett [aut, cre], Isaac Neuhaus [aut] (canvasXpress JavaScript Library Maintainer), Ger Inberg [ctb], Bristol-Meyers Squibb (BMS) [cph]
Maintainer: Constance Brett <connie@aggregate-genius.com>

Diff between periscope versions 0.4.1 dated 2019-03-06 and 0.4.2 dated 2019-04-30

 DESCRIPTION                             |    8 
 MD5                                     |   68 ++--
 NEWS.md                                 |    5 
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 inst/fw_templ/p_example/server_global.R |    2 
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 35 files changed, 1282 insertions(+), 433 deletions(-)

More information about periscope at CRAN
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