Sun, 08 Mar 2020

Package tableone updated to version 0.11.1 with previous version 0.11.0 dated 2020-03-01

Title: Create 'Table 1' to Describe Baseline Characteristics
Description: Creates 'Table 1', i.e., description of baseline patient characteristics, which is essential in every medical research. Supports both continuous and categorical variables, as well as p-values and standardized mean differences. Weighted data are supported via the 'survey' package. See 'github' for a screen cast. 'tableone' was inspired by descriptive statistics functions in 'Deducer' , a Java-based GUI package by Ian Fellows. This package does not require GUI or Java, and intended for command-line users.
Author: Kazuki Yoshida [cre, aut] (<https://orcid.org/0000-0002-2030-3549>), Alexander Bartel [ctb] (<https://orcid.org/0000-0002-1280-6138>), Jonathan J Chipman [ctb], Justin Bohn [ctb], Lucy DAgostino McGowan [ctb], Malcolm Barrett [ctb], Rune Haubo B Christensen [ctb], gbouzill [ctb]
Maintainer: Kazuki Yoshida <kazukiyoshida@mail.harvard.edu>

Diff between tableone versions 0.11.0 dated 2020-03-01 and 0.11.1 dated 2020-03-08

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Package Rfast updated to version 1.9.9 with previous version 1.9.8 dated 2019-12-12

Title: A Collection of Efficient and Extremely Fast R Functions
Description: A collection of fast (utility) functions for data analysis. Column- and row- wise means, medians, variances, minimums, maximums, many t, F and G-square tests, many regressions (normal, logistic, Poisson), are some of the many fast functions. References: a) Tsagris M., Papadakis M. (2018). Taking R to its limits: 70+ tips. PeerJ Preprints 6:e26605v1 <doi:10.7287/peerj.preprints.26605v1>. b) Tsagris M. and Papadakis M. (2018). Forward regression in R: from the extreme slow to the extreme fast. Journal of Data Science, 16(4): 771--780. <doi:10.6339/JDS.201810_16(4).00006>.
Author: Manos Papadakis, Michail Tsagris, Marios Dimitriadis, Stefanos Fafalios, Ioannis Tsamardinos, Matteo Fasiolo, Giorgos Borboudakis, John Burkardt, Changliang Zou, Kleanthi Lakiotaki and Christina Chatzipantsiou.
Maintainer: Manos Papadakis <rfastofficial@gmail.com>

Diff between Rfast versions 1.9.8 dated 2019-12-12 and 1.9.9 dated 2020-03-08

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Package panelr updated to version 0.7.2 with previous version 0.7.1 dated 2019-07-12

Title: Regression Models and Utilities for Repeated Measures and Panel Data
Description: Provides an object type and associated tools for storing and wrangling panel data. Implements several methods for creating regression models that take advantage of the unique aspects of panel data. Among other capabilities, automates the "within-between" (also known as "between-within" and "hybrid") panel regression specification that combines the desirable aspects of both fixed effects and random effects econometric models and fits them as multilevel models (Allison, 2009 <doi:10.4135/9781412993869.d33>; Bell & Jones, 2015 <doi:10.1017/psrm.2014.7>). These models can also be estimated via generalized estimating equations (GEE; McNeish, 2019 <doi:10.1080/00273171.2019.1602504>) and Bayesian estimation is (optionally) supported via 'Stan'. Supports estimation of asymmetric effects models via first differences (Allison, 2019 <doi:10.1177/2378023119826441>) as well as a generalized linear model extension thereof using GEE.
Author: Jacob A. Long [aut, cre] (<https://orcid.org/0000-0002-1582-6214>)
Maintainer: Jacob A. Long <long.1377@osu.edu>

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Package deSolve updated to version 1.28 with previous version 1.27.1 dated 2020-01-02

Title: Solvers for Initial Value Problems of Differential Equations ('ODE', 'DAE', 'DDE')
Description: Functions that solve initial value problems of a system of first-order ordinary differential equations ('ODE'), of partial differential equations ('PDE'), of differential algebraic equations ('DAE'), and of delay differential equations. The functions provide an interface to the FORTRAN functions 'lsoda', 'lsodar', 'lsode', 'lsodes' of the 'ODEPACK' collection, to the FORTRAN functions 'dvode', 'zvode' and 'daspk' and a C-implementation of solvers of the 'Runge-Kutta' family with fixed or variable time steps. The package contains routines designed for solving 'ODEs' resulting from 1-D, 2-D and 3-D partial differential equations ('PDE') that have been converted to 'ODEs' by numerical differencing.
Author: Karline Soetaert [aut] (<https://orcid.org/0000-0003-4603-7100>), Thomas Petzoldt [aut, cre] (<https://orcid.org/0000-0002-4951-6468>), R. Woodrow Setzer [aut] (<https://orcid.org/0000-0002-6709-9186>), Peter N. Brown [ctb] (files ddaspk.f, dvode.f, zvode.f), George D. Byrne [ctb] (files dvode.f, zvode.f), Ernst Hairer [ctb] (files radau5.f, radau5a), Alan C. Hindmarsh [ctb] (files ddaspk.f, dlsode.f, dvode.f, zvode.f, opdkmain.f, opdka1.f), Cleve Moler [ctb] (file dlinpck.f), Linda R. Petzold [ctb] (files ddaspk.f, dlsoda.f), Youcef Saad [ctb] (file dsparsk.f), Clement W. Ulrich [ctb] (file ddaspk.f)
Maintainer: Thomas Petzoldt <thomas.petzoldt@tu-dresden.de>

Diff between deSolve versions 1.27.1 dated 2020-01-02 and 1.28 dated 2020-03-08

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Package DescToolsAddIns updated to version 1.7 with previous version 1.6 dated 2020-01-10

Title: Interactive Functions to be Used as Shortcuts in 'RStudio'
Description: 'RStudio' as of recently offers the option to define addins and assign shortcuts to them. This package contains addins for a few most frequently used functions in a data scientist's (at least mine) daily work (like str(), example(), plot(), head(), view(), Desc()). Most of these functions will use the current selection in the editor window and send the specific command to the console while instantly executing it. Assigning shortcuts to these addins will save you quite a few keystrokes.
Author: Andri Signorell
Maintainer: Andri Signorell <andri@signorell.net>

Diff between DescToolsAddIns versions 1.6 dated 2020-01-10 and 1.7 dated 2020-03-08

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Package clifford updated to version 1.0-2 with previous version 1.0-1 dated 2020-01-30

Title: Arbitrary Dimensional Clifford Algebras
Description: A suite of routines for Clifford algebras, using the 'Map' class of the Standard Template Library. Canonical reference: Hestenes (1987, ISBN 90-277-1673-0, "Clifford algebra to geometric calculus"). Special cases including Lorentz transforms, quaternion multiplication, and Grassman algebra, are discussed. Conformal geometric algebra theory is implemented.
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 clifford versions 1.0-1 dated 2020-01-30 and 1.0-2 dated 2020-03-08

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Package vcd updated to version 1.4-6 with previous version 1.4-5 dated 2020-01-13

Title: Visualizing Categorical Data
Description: Visualization techniques, data sets, summary and inference procedures aimed particularly at categorical data. Special emphasis is given to highly extensible grid graphics. The package was package was originally inspired by the book "Visualizing Categorical Data" by Michael Friendly and is now the main support package for a new book, "Discrete Data Analysis with R" by Michael Friendly and David Meyer (2015).
Author: David Meyer [aut, cre], Achim Zeileis [aut] (<https://orcid.org/0000-0003-0918-3766>), Kurt Hornik [aut], Florian Gerber [ctb], Michael Friendly [ctb]
Maintainer: David Meyer <David.Meyer@R-project.org>

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New package rpls with initial version 0.4.0
Package: rpls
Type: Package
Title: Robust Partial Least Squares
Version: 0.4.0
Author: Peter Filzmoser, Sukru Acitas, Birdal Senoglu and Maximilian Plattner
Maintainer: Peter Filzmoser <peter.filzmoser@tuwien.ac.at>
Description: A robust Partial Least-Squares (PLS) method is implemented that is robust to outliers in the residuals as well as to leverage points. A specific weighting scheme is applied which avoids iterations, and leads to a highly efficient robust PLS estimator.
License: GPL (>= 3)
Imports: pcaPP, robustbase
NeedsCompilation: no
Packaged: 2020-03-02 11:38:41 UTC; filz
Repository: CRAN
Date/Publication: 2020-03-08 18:10:02 UTC

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Package RcppAnnoy updated to version 0.0.16 with previous version 0.0.15 dated 2020-02-27

Title: 'Rcpp' Bindings for 'Annoy', a Library for Approximate Nearest Neighbors
Description: 'Annoy' is a small C++ library for Approximate Nearest Neighbors written for efficient memory usage as well an ability to load from / save to disk. This package provides an R interface by relying on the 'Rcpp' package, exposing the same interface as the original Python wrapper to 'Annoy'. See <https://github.com/spotify/annoy> for more on 'Annoy'. 'Annoy' is released under Version 2.0 of the Apache License. Also included is a small Windows port of 'mmap' which is released under the MIT license.
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppAnnoy versions 0.0.15 dated 2020-02-27 and 0.0.16 dated 2020-03-08

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Package rcdklibs updated to version 2.3 with previous version 2.0 dated 2017-06-11

Title: The CDK Libraries Packaged for R
Description: An R interface to the Chemistry Development Kit, a Java library for chemoinformatics. Given the size of the library itself, this package is not expected to change very frequently. To make use of the CDK within R, it is suggested that you use the 'rcdk' package. Note that it is possible to directly interact with the CDK using 'rJava'. However 'rcdk' exposes functionality in a more idiomatic way. The CDK library itself is released as LGPL and the sources can be obtained from <https://github.com/cdk/cdk>.
Author: Rajarshi Guha [aut], Zachary Charlop-Powers [cre], CDK Project [ctb, cph] (CDK Java library contained in multiple jar files)
Maintainer: Zachary Charlop-Powers <zach.charlop.powers@gmail.com>

Diff between rcdklibs versions 2.0 dated 2017-06-11 and 2.3 dated 2020-03-08

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New package rayimage with initial version 0.2.3
Package: rayimage
Type: Package
Title: Image Processing for Simulated Cameras
Version: 0.2.3
Author: Tyler Morgan-Wall
Maintainer: Tyler Morgan-Wall <tylermw@gmail.com>
Description: Uses convolution-based techniques to generate simulated camera bokeh, depth of field, and other camera effects, using an image and an optional depth map. Accepts both filename inputs and in-memory array representations of images and matrices. Includes functions to perform 2D convolutions, reorient and resize images/matrices, add image overlays, generate camera vignette effects, and add titles to images.
License: GPL-3
LazyData: true
Depends: R (>= 3.0.2)
Imports: doParallel, foreach, Rcpp, progress, raster, scales, png, rayshader, magrittr, jpeg, grDevices
Suggests: magick
LinkingTo: Rcpp, RcppArmadillo, progress
RoxygenNote: 7.0.2
URL: https://www.rayimage.dev, https://github.com/tylermorganwall/rayimage
BugReports: https://github.com/tylermorganwall/rayimage/issues
NeedsCompilation: yes
Packaged: 2020-03-02 12:16:56 UTC; tyler
Repository: CRAN
Date/Publication: 2020-03-08 18:20:02 UTC

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Package naivebayes updated to version 0.9.7 with previous version 0.9.6 dated 2019-06-03

Title: High Performance Implementation of the Naive Bayes Algorithm
Description: In this implementation of the Naive Bayes classifier following class conditional distributions are available: Bernoulli, Categorical, Gaussian, Poisson and non-parametric representation of the class conditional density estimated via Kernel Density Estimation. Implemented classifiers handle missing data and can take advantage of sparse data.
Author: Michal Majka
Maintainer: Michal Majka <michalmajka@hotmail.com>

Diff between naivebayes versions 0.9.6 dated 2019-06-03 and 0.9.7 dated 2020-03-08

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Package ggrepel updated to version 0.8.2 with previous version 0.8.1 dated 2019-05-07

Title: Automatically Position Non-Overlapping Text Labels with 'ggplot2'
Description: Provides text and label geoms for 'ggplot2' that help to avoid overlapping text labels. Labels repel away from each other and away from the data points.
Author: Kamil Slowikowski [aut, cre] (<https://orcid.org/0000-0002-2843-6370>), Alicia Schep [ctb] (<https://orcid.org/0000-0002-3915-0618>), Sean Hughes [ctb], Saulius Lukauskas [ctb], Jean-Olivier Irisson [ctb] (<https://orcid.org/0000-0003-4920-3880>), Zhian N Kamvar [ctb] (<https://orcid.org/0000-0003-1458-7108>), Thompson Ryan [ctb] (<https://orcid.org/0000-0002-0450-8181>), Dervieux Christophe [ctb] (<https://orcid.org/0000-0003-4474-2498>), Yutani Hiroaki [ctb], Pierre Gramme [ctb]
Maintainer: Kamil Slowikowski <kslowikowski@gmail.com>

Diff between ggrepel versions 0.8.1 dated 2019-05-07 and 0.8.2 dated 2020-03-08

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New package ctgt with initial version 1.0
Package: ctgt
Type: Package
Title: Closed Testing with Globaltest for Pathway Analysis
Version: 1.0
Date: 2020-02-21
Author: Ningning Xu
Maintainer: Ningning Xu <n.xu@lumc.nl>
Description: A shortcut procedure is proposed to implement closed testing for large-scale multiple testings, especially with the global test. This shortcut is asymptotically equivalent to closed testing and post hoc. Users could detect any possible sets of features or pathways with family-wise error rate controlled. The global test is powerful to detect associations between a group of features and an outcome of interest.
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.3)
LinkingTo: Rcpp, BH
SystemRequirements: C++11
NeedsCompilation: yes
Packaged: 2020-03-02 11:11:35 UTC; nxu
Repository: CRAN
Date/Publication: 2020-03-08 18:50:02 UTC

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New package cleanNLP with initial version 3.0.2
Package: cleanNLP
Type: Package
Title: A Tidy Data Model for Natural Language Processing
Version: 3.0.2
Authors@R: c(person(given = "Taylor B.", family = "Arnold", email = "taylor.arnold@acm.org", role = c("aut", "cre")))
Author: Taylor B. Arnold [aut, cre]
Maintainer: Taylor B. Arnold <taylor.arnold@acm.org>
Description: Provides a set of fast tools for converting a textual corpus into a set of normalized tables. Users may make use of the 'udpipe' back end with no external dependencies, or two Python back ends with 'spaCy' <https://spacy.io> or 'CoreNLP' <http://stanfordnlp.github.io/CoreNLP/>. Exposed annotation tasks include tokenization, part of speech tagging, named entity recognition, and dependency parsing.
Depends: R (>= 3.5.0)
Imports: Matrix (>= 1.2), udpipe, reticulate, stringi, stats, methods
Suggests: knitr (>= 1.15), rmarkdown (>= 1.4), testthat (>= 1.0.1), covr (>= 2.2.2)
SystemRequirements: Python (>= 3.7.0)
License: LGPL-2
URL: https://statsmaths.github.io/cleanNLP/
BugReports: http://github.com/statsmaths/cleanNLP/issues
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 7.0.2
NeedsCompilation: no
Packaged: 2020-03-07 20:08:40 UTC; admin
Repository: CRAN
Date/Publication: 2020-03-08 18:30:09 UTC

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Package svs updated to version 2.0.0 with previous version 1.1.0 dated 2016-01-13

Title: Tools for Semantic Vector Spaces
Description: Various tools for semantic vector spaces, such as correspondence analysis (simple, multiple and discriminant), latent semantic analysis, probabilistic latent semantic analysis, non-negative matrix factorization, latent class analysis and EM clustering. Furthermore, there are specialized distance measures, plotting functions and some helper functions.
Author: Koen Plevoets [aut, cre]
Maintainer: Koen Plevoets <koen.plevoets@ugent.be>

Diff between svs versions 1.1.0 dated 2016-01-13 and 2.0.0 dated 2020-03-08

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New package splitSelect with initial version 1.0.0
Package: splitSelect
Type: Package
Title: Best Split Selection Modeling for Low-Dimensional Data
Version: 1.0.0
Date: 2020-02-03
Author: Anthony Christidis <anthony.christidis@stat.ubc.ca>, Stefan Van Aelst <stefan.vanaelst@kuleuven.be>, Ruben Zamar <ruben@stat.ubc.ca>
Maintainer: Anthony Christidis <anthony.christidis@stat.ubc.ca>
Description: Functions to generate or sample from all possible splits of features or variables into a number of specified groups. Also computes the best split selection estimator (for low-dimensional data) as defined in Christidis, Van Aelst and Zamar (2019) <arXiv:1812.05678>.
License: GPL (>= 2)
Biarch: true
Imports: multicool, glmnet, parallel, doParallel, foreach, mvnfast, caret
RoxygenNote: 7.0.2
Suggests: testthat
NeedsCompilation: no
Packaged: 2020-03-02 10:47:42 UTC; antho
Repository: CRAN
Date/Publication: 2020-03-08 17:20:06 UTC

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New package s2dv with initial version 0.0.1
Package: s2dv
Title: A Set of Common Tools for Seasonal to Decadal Verification
Version: 0.0.1
Authors@R: c( person("BSC-CNS", role = c("aut", "cph")), person("An-Chi", "Ho", , "an.ho@bsc.es", role = c("aut", "cre")), person("Nuria", "Perez-Zanon", , "nuria.perez@bsc.es", role = "aut"))
Description: The advanced version of package 's2dverification', which the details can be found in Manubens et al. (2018) <doi:10.1016/j.envsoft.2018.01.018>. It is intended for 'seasonal to decadal' (s2d) climate forecast verification, but it can also be used in other kinds of forecasts or general climate analysis. This package is specially designed for the comparison between the experimental and observational datasets. The functionality of the included functions covers from data retrieval, data post-processing, skill scores against observation, to visualization. Compared to 's2dverification', 's2dv' is more compatible with the package 'startR', able to use multiple cores for computation and handle multi-dimensional arrays with a higher flexibility.
Depends: maps, methods, R (>= 2.14.1)
Imports: abind, bigmemory, GEOmap, geomapdata, graphics, grDevices, mapproj, parallel, ClimProjDiags, stats, plyr, ncdf4, multiApply (>= 2.0.0)
Suggests: easyVerification, testthat
License: LGPL-3
URL: https://earth.bsc.es/gitlab/es/s2dv/
BugReports: https://earth.bsc.es/gitlab/es/s2dv/issues
LazyData: true
SystemRequirements: cdo
Encoding: UTF-8
RoxygenNote: 5.0.0
NeedsCompilation: no
Packaged: 2020-03-02 08:10:57 UTC; aho
Author: BSC-CNS [aut, cph], An-Chi Ho [aut, cre], Nuria Perez-Zanon [aut]
Maintainer: An-Chi Ho <an.ho@bsc.es>
Repository: CRAN
Date/Publication: 2020-03-08 17:20:09 UTC

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New package rtemps with initial version 0.3.0
Package: rtemps
Type: Package
Title: R Templates for Reproducible Data Analyses
Version: 0.3.0
Authors@R: person("John", "Zobolas", role = c("aut", "cph", "cre"), email = "bblodfon@gmail.com", comment = c(ORCID = "0000-0002-3609-8674"))
Description: A collection of R Markdown templates for nicely structured, reproducible data analyses in R. The templates have embedded examples on how to write citations, footnotes, equations and use colored message boxes, how to cross-reference different parts/sections in the report, provide a nice table of contents (toc) with a References section and proper R session information as well as examples using DT tables and ggplot2 graphs. The bookdown Lite template theme supports code folding.
License: MIT + file LICENSE
URL: https://github.com/bblodfon/rtemps
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
Imports: knitr, rmarkdown, bookdown
Suggests: DT, ggplot2, xfun
NeedsCompilation: no
Packaged: 2020-03-02 10:06:11 UTC; john
Author: John Zobolas [aut, cph, cre] (<https://orcid.org/0000-0002-3609-8674>)
Maintainer: John Zobolas <bblodfon@gmail.com>
Repository: CRAN
Date/Publication: 2020-03-08 17:20:13 UTC

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Package rSPDE updated to version 0.4.8 with previous version 0.4.6 dated 2019-08-20

Title: Rational Approximations of Fractional Stochastic Partial Differential Equations
Description: Functions that compute rational approximations of fractional elliptic stochastic partial differential equations. The package also contains functions for common statistical usage of these approximations. The main reference for the methods is Bolin and Kirchner (2019) <arXiv:1711.04333>, which can be generated by the citation function in R.
Author: David Bolin [cre, aut]
Maintainer: David Bolin <davidbolin@gmail.com>

Diff between rSPDE versions 0.4.6 dated 2019-08-20 and 0.4.8 dated 2020-03-08

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Package quantmod updated to version 0.4-16 with previous version 0.4-15 dated 2019-06-17

Title: Quantitative Financial Modelling Framework
Description: Specify, build, trade, and analyse quantitative financial trading strategies.
Author: Jeffrey A. Ryan [aut, cph], Joshua M. Ulrich [cre, aut], Wouter Thielen [ctb], Paul Teetor [ctb], Steve Bronder [ctb]
Maintainer: Joshua M. Ulrich <josh.m.ulrich@gmail.com>

Diff between quantmod versions 0.4-15 dated 2019-06-17 and 0.4-16 dated 2020-03-08

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New package evgam with initial version 0.1.0
Package: evgam
Type: Package
Title: Generalised Additive Extreme Value Models
Version: 0.1.0
Date: 2020-03-02
Author: Ben Youngman <b.youngman@exeter.ac.uk> [aut, cre]
Maintainer: Ben Youngman <b.youngman@exeter.ac.uk>
Description: Methods for fitting various extreme value distributions with parameters of generalised additive model (GAM) form are provided. For details of distributions see Coles, S.G. (2001) <doi:10.1007/978-1-4471-3675-0>, GAMs see Wood, S.N. (2017) <doi:10.1201/9781315370279>, and the fitting approach see Wood, S.N., Pya, N. & Safken, B. (2016) <doi:10.1080/01621459.2016.1180986>.
License: GPL-3
Imports: Rcpp (>= 1.0.3), mgcv
LinkingTo: Rcpp, RcppArmadillo
Depends: R (>= 3.5.0)
Suggests: maps
RoxygenNote: 7.0.1
NeedsCompilation: yes
Packaged: 2020-03-02 10:29:19 UTC; ben
Repository: CRAN
Date/Publication: 2020-03-08 17:40:02 UTC

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New package escalation with initial version 0.1.1
Package: escalation
Type: Package
Title: Modular Approach to Dose Finding Clinical Trials
Version: 0.1.1
Date: 2020-02-29
Authors@R: person("Kristian", "Brock", email = "kristian.brock@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-3921-0166"))
Maintainer: Kristian Brock <kristian.brock@gmail.com>
Description: Methods for working with dose-finding clinical trials. We start by providing a common interface to various dose-finding methodologies like the continual reassessment method (CRM) by O'Quigley et al. (1990) <doi:10.2307/2531628>, the Bayesian optimal interval design (BOIN) by Liu & Yuan (2015) <doi:10.1111/rssc.12089>, and the 3+3 described by Korn et al. (1994) <doi:10.1002/sim.4780131802>. We then add optional embellishments to provide extra desirable behaviour, like avoiding skipping doses, stopping after n patients have been treated at the recommended dose, or demanding that n patients are treated before stopping is allowed. By daisy-chaining together these embellishments using the pipe operator from 'magrittr', it is simple to tailor the behaviour of dose-finding designs so that they do what you want. Furthermore, using this flexible interface for creating dose-finding designs, it is simple to run simulations or calculate dose-pathways for future cohorts of patients.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: magrittr
Imports: dplyr, tidyr (>= 1.0), tidyselect, stringr, purrr, tibble, gtools, dfcrm, BOIN
RoxygenNote: 7.0.2
Suggests: testthat, knitr, rmarkdown, covr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-02-29 15:10:05 UTC; brockk
Author: Kristian Brock [aut, cre] (<https://orcid.org/0000-0002-3921-0166>)
Repository: CRAN
Date/Publication: 2020-03-08 17:10:02 UTC

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New package dyndimred with initial version 1.0.3
Package: dyndimred
Type: Package
Title: Dimensionality Reduction Methods in a Common Format
Version: 1.0.3
Authors@R: c( person( "Robrecht", "Cannoodt", email = "rcannood@gmail.com", role = c("aut"), comment = c(ORCID = "0000-0003-3641-729X", github = "rcannood") ), person( "Wouter", "Saelens", email = "wouter.saelens@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-7114-6248", github = "zouter") ) )
Description: Provides a common interface for applying dimensionality reduction methods, such as Principal Component Analysis ('PCA'), Independent Component Analysis ('ICA'), diffusion maps, Locally-Linear Embedding ('LLE'), t-distributed Stochastic Neighbor Embedding ('t-SNE'), and Uniform Manifold Approximation and Projection ('UMAP'). Has built-in support for sparse matrices.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dynutils (>= 1.0.5), irlba, lmds
Suggests: testthat, destiny, diffusionMap, fastICA, igraph, lle, MASS, Matrix, RANN, Rtsne, smacof, uwot
RoxygenNote: 7.0.2
URL: https://github.com/dynverse/dyndimred
BugReports: https://github.com/dynverse/dyndimred/issues
NeedsCompilation: no
Packaged: 2020-03-02 10:01:57 UTC; rcannood
Author: Robrecht Cannoodt [aut] (<https://orcid.org/0000-0003-3641-729X>, rcannood), Wouter Saelens [aut, cre] (<https://orcid.org/0000-0002-7114-6248>, zouter)
Maintainer: Wouter Saelens <wouter.saelens@gmail.com>
Repository: CRAN
Date/Publication: 2020-03-08 17:20:19 UTC

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Package NetworkToolbox updated to version 1.4.0 with previous version 1.3.3 dated 2020-01-10

Title: Methods and Measures for Brain, Cognitive, and Psychometric Network Analysis
Description: Implements network analysis and graph theory measures used in neuroscience, cognitive science, and psychology. Methods include various filtering methods and approaches such as threshold, dependency (Kenett, Tumminello, Madi, Gur-Gershgoren, Mantegna, & Ben-Jacob, 2010 <doi:10.1371/journal.pone.0015032>), Information Filtering Networks (Barfuss, Massara, Di Matteo, & Aste, 2016 <doi:10.1103/PhysRevE.94.062306>), and Efficiency-Cost Optimization (Fallani, Latora, & Chavez, 2017 <doi:10.1371/journal.pcbi.1005305>). Brain methods include the recently developed Connectome Predictive Modeling (see references in package). Also implements several network measures including local network characteristics (e.g., centrality), community-level network characteristics (e.g., community centrality), global network characteristics (e.g., clustering coefficient), and various other measures associated with the reliability and reproducibility of network analysis.
Author: Alexander Christensen [aut, cre] (<https://orcid.org/0000-0002-9798-7037>), Guido Previde Massara [ctb] (<https://orcid.org/0000-0003-0502-2789>)
Maintainer: Alexander Christensen <alexpaulchristensen@gmail.com>

Diff between NetworkToolbox versions 1.3.3 dated 2020-01-10 and 1.4.0 dated 2020-03-08

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New package evabic with initial version 0.0.1
Package: evabic
Title: Evaluation of Binary Classifiers
Version: 0.0.1
Authors@R: person(given = "Antoine", family = "Bichat", role = c("aut", "cre"), email = "a.bichat@yahoo.fr", comment = c(ORCID = "0000-0001-6599-7081"))
Description: Evaluates the performance of binary classifiers. Computes confusion measures (TP, TN, FP, FN), derived measures (TPR, FDR, accuracy, F1, DOR, ..), and area under the curve. Outputs are well suited for nested dataframes.
License: GPL-3
URL: https://abichat.github.io/evabic, https://github.com/abichat/evabic
BugReports: https://github.com/abichat/evabic/issues
Suggests: spelling, testthat (>= 2.1.0)
Encoding: UTF-8
Language: en-US
LazyData: true
RoxygenNote: 7.0.2.9000
NeedsCompilation: no
Packaged: 2020-03-01 17:09:53 UTC; antoinebichat
Author: Antoine Bichat [aut, cre] (<https://orcid.org/0000-0001-6599-7081>)
Maintainer: Antoine Bichat <a.bichat@yahoo.fr>
Repository: CRAN
Date/Publication: 2020-03-08 17:00:02 UTC

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Package eph updated to version 0.3.0 with previous version 0.2.0 dated 2019-11-26

Title: Argentina's Permanent Household Survey Data and Manipulation Utilities
Description: Tools to download and manipulate the Permanent Household Survey from Argentina (EPH is the Spanish acronym for Permanent Household Survey). e.g: get_microdata() for downloading the datasets, get_poverty_lines() for downloading the official poverty baskets, calculate_poverty() for the calculation of stating if a household is in poverty or not, following the official methodology. organize_panels() is used to concatenate observations from different periods, and organize_labels() adds the official labels to the data. The implemented methods are based on INDEC (2016) <http://www.estadistica.ec.gba.gov.ar/dpe/images/SOCIEDAD/EPH_metodologia_22_pobreza.pdf>. As this package works with the argentinian Permanent Household Survey and its main audience is from this country, the documentation was written in Spanish.
Author: Diego Kozlowski [aut, cre] (<https://orcid.org/0000-0002-5396-3471>), Pablo Tiscornia [aut], Guido Weksler [aut], Natsumi Shokida [aut], German Rosati [aut] (<https://orcid.org/0000-0002-9775-0435>)
Maintainer: Diego Kozlowski <diegokoz92@gmail.com>

Diff between eph versions 0.2.0 dated 2019-11-26 and 0.3.0 dated 2020-03-08

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Package tidytable updated to version 0.3.2 with previous version 0.3.1 dated 2020-02-19

Title: Tidy Interface to 'data.table'
Description: Tidy interface to 'data.table'. 'rlang' compatible, which allows the user to build custom functions much like they would in the tidyverse.
Author: Mark Fairbanks [aut, cre], Tyson Barrett [ctb], Ivan Leung [ctb], Ross Kennedy [ctb]
Maintainer: Mark Fairbanks <mark.t.fairbanks@gmail.com>

Diff between tidytable versions 0.3.1 dated 2020-02-19 and 0.3.2 dated 2020-03-08

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Package taxotools updated to version 0.0.43 with previous version 0.0.35 dated 2019-07-25

Title: Tools to Handle Taxonomic Lists
Description: Some tools to work with taxonomic name lists.
Author: Vijay Barve [aut, cre] (<https://orcid.org/0000-0002-4852-2567>)
Maintainer: Vijay Barve <vijay.barve@gmail.com>

Diff between taxotools versions 0.0.35 dated 2019-07-25 and 0.0.43 dated 2020-03-08

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Package Rcsdp updated to version 0.1.57 with previous version 0.1.56.1 dated 2020-03-06

Title: R Interface to the CSDP Semidefinite Programming Library
Description: R interface to the CSDP semidefinite programming library. Installs version 6.1.1 of CSDP from the COIN-OR website if required. An existing installation of CSDP may be used by passing the proper configure arguments to the installation command. See the INSTALL file for further details.
Author: Hector Corrada Bravo [aut, cre], Brian Borchers [aut], Don van den Bergh [ctb]
Maintainer: Hector Corrada Bravo <hcorrada@gmail.com>

Diff between Rcsdp versions 0.1.56.1 dated 2020-03-06 and 0.1.57 dated 2020-03-08

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New package MetaSKAT with initial version 0.80
Package: MetaSKAT
Type: Package
Title: Meta Analysis for SNP-Set (Sequence) Kernel Association Test
Version: 0.80
Date: 2020-03-06
Author: Seunggeun (Shawn) Lee
Maintainer: Seunggeun (Shawn) Lee <leeshawn@umich.edu>
Description: Functions for Meta-analysis Burden test, SKAT and SKAT-O by Lee et al. (2013) <doi: 10.1016/j.ajhg.2013.05.010>. These methods use summary-level score statistics to carry out gene-based meta-analysis for rare variants.
License: GPL (>= 2)
SystemRequirements: Little Endian
Depends: R (>= 2.13.0)
Imports: SKAT
NeedsCompilation: yes
Packaged: 2020-03-08 04:35:50 UTC; leeshawn
Repository: CRAN
Date/Publication: 2020-03-08 15:50:09 UTC

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New package mdsstat with initial version 0.3.2
Package: mdsstat
Type: Package
Title: Statistical Trending for Medical Devices Surveillance
Version: 0.3.2
Authors@R: c( person("Gary", "Chung", email="gchung05@gmail.com", role=c("aut", "cre")), person("Zhiheng", "Xu", role="ctb", comment="derived code for `cp_mean()`"), person("Stephane", "Bottine", role="ctb", comment="derived code from 'SPRT' package"), person("Ismaïl", "Ahmed", role="ctb", comment="derived code from 'PhViD' package"), person("John", "Ihrie", role="ctb", comment="derived code from 'openEBGM' package"))
Maintainer: Gary Chung <gchung05@gmail.com>
Description: A collection of common statistical algorithms used in active surveillance of medical device events. Context includes post-market surveillance, pharmacovigilance, signal detection and trending, and regulatory reporting. Primary inputs are device-event time series. Outputs include trending results with the ability to run multiple algorithms at once. This package works well with the 'mds' package, but does not require it.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: utils, stats, lubridate, mds
Suggests: testthat, knitr
RoxygenNote: 7.0.2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-03-08 00:18:24 UTC; gchun
Author: Gary Chung [aut, cre], Zhiheng Xu [ctb] (derived code for `cp_mean()`), Stephane Bottine [ctb] (derived code from 'SPRT' package), Ismaïl Ahmed [ctb] (derived code from 'PhViD' package), John Ihrie [ctb] (derived code from 'openEBGM' package)
Repository: CRAN
Date/Publication: 2020-03-08 15:50:02 UTC

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Package listarrays updated to version 0.3.1 with previous version 0.3.0 dated 2020-01-08

Title: A Toolbox for Working with R Arrays in a Functional Programming Style
Description: A toolbox for R arrays. Flexibly split, bind, reshape, modify, subset and name arrays.
Author: Tomasz Kalinowski [aut, cre]
Maintainer: Tomasz Kalinowski <kalinowskit@gmail.com>

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Package rgeopat2 updated to version 0.3.9 with previous version 0.2.6 dated 2018-09-16

Title: Additional Functions for 'GeoPAT' 2
Description: Supports analysis of spatial data processed with the 'GeoPAT' 2 software <http://sil.uc.edu/cms/index.php?id=geopat2>. Available features include creation of a grid based on the 'GeoPAT' 2 grid header file and reading a 'GeoPAT' 2 text outputs.
Author: Jakub Nowosad [aut, cre] (<https://orcid.org/0000-0002-1057-3721>), Space Informatics Lab [cph]
Maintainer: Jakub Nowosad <nowosad.jakub@gmail.com>

Diff between rgeopat2 versions 0.2.6 dated 2018-09-16 and 0.3.9 dated 2020-03-08

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Package chunked updated to version 0.4.1 with previous version 0.4 dated 2017-07-01

Title: Chunkwise Text-File Processing for 'dplyr'
Description: Data stored in text file can be processed chunkwise using 'dplyr' commands. These are recorded and executed per data chunk, so large files can be processed with limited memory using the 'LaF' package.
Author: Edwin de Jonge [aut, cre]
Maintainer: Edwin de Jonge <edwindjonge@gmail.com>

Diff between chunked versions 0.4 dated 2017-07-01 and 0.4.1 dated 2020-03-08

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Package nmslibR updated to version 1.0.4 with previous version 1.0.3 dated 2018-07-21

Title: Non Metric Space (Approximate) Library
Description: A Non-Metric Space Library ('NMSLIB' <https://github.com/nmslib/nmslib>) wrapper, which according to the authors "is an efficient cross-platform similarity search library and a toolkit for evaluation of similarity search methods. The goal of the 'NMSLIB' <https://github.com/searchivarius/nmslib> Library is to create an effective and comprehensive toolkit for searching in generic non-metric spaces. Being comprehensive is important, because no single method is likely to be sufficient in all cases. Also note that exact solutions are hardly efficient in high dimensions and/or non-metric spaces. Hence, the main focus is on approximate methods". The wrapper also includes Approximate Kernel k-Nearest-Neighbor functions based on the 'NMSLIB' <https://github.com/searchivarius/nmslib> 'Python' Library.
Author: Lampros Mouselimis [aut, cre], B. Naidan [cph] (Author of the Non-Metric Space Library (NMSLIB)), L. Boytsov [cph] (Author of the Non-Metric Space Library (NMSLIB)), Yu. Malkov [cph] (Author of the Non-Metric Space Library (NMSLIB)), B. Frederickson [cph] (Author of the Non-Metric Space Library (NMSLIB)), D. Novak [cph] (Author of the Non-Metric Space Library (NMSLIB))
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>

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Package FSinR updated to version 1.0.8 with previous version 1.0.6 dated 2019-12-22

Title: Feature Selection
Description: Feature subset selection algorithms modularized in search algorithms and measure utilities. Full list and more information available at <https://dicits.ugr.es/software/FSinR/>.
Author: Alfonso Jiménez-Vílchez [aut, cre], Francisco Aragón-Royón [aut], Adan M. Rodriguez [aut], Antonio Arauzo-Azofra [aut], José Manuel Benítez [aut]
Maintainer: Alfonso Jiménez-Vílchez <i52jivia@uco.es>

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Package nnGarrote updated to version 1.0.1 with previous version 1.0.0 dated 2020-02-28

Title: Non-Negative Garrote Estimation with Penalized Initial Estimators
Description: Functions to compute the non-negative garrote estimator as proposed by Breiman (1995) <https://www.jstor.org/stable/1269730> with the penalized initial estimators extension as proposed by Yuan and Lin (2007) <https://www.jstor.org/stable/4623260>.
Author: Anthony Christidis <anthony.christidis@stat.ubc.ca>, Stefan Van Aelst <stefan.vanaelst@kuleuven.be>, Ruben Zamar <ruben@stat.ubc.ca>
Maintainer: Anthony Christidis <anthony.christidis@stat.ubc.ca>

Diff between nnGarrote versions 1.0.0 dated 2020-02-28 and 1.0.1 dated 2020-03-08

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Package BNPdensity updated to version 2020.3.4 with previous version 2019.9.18 dated 2019-09-18

Title: Ferguson-Klass Type Algorithm for Posterior Normalized Random Measures
Description: Bayesian nonparametric density estimation modeling mixtures by a Ferguson-Klass type algorithm for posterior normalized random measures.
Author: Julyan Arbel [ctb], Ernesto Barrios [aut], Guillaume Kon Kam King [aut, cre], Antonio Lijoi [aut], Luis E. Nieto-Barajas [aut], Igor Prünster [aut]
Maintainer: Guillaume Kon Kam King <guillaume.konkamking.work@gmail.com>

Diff between BNPdensity versions 2019.9.18 dated 2019-09-18 and 2020.3.4 dated 2020-03-08

 BNPdensity-2019.9.18/BNPdensity/README.md                                     |only
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 BNPdensity-2020.3.4/BNPdensity/CHANGES                                        |   19 
 BNPdensity-2020.3.4/BNPdensity/DESCRIPTION                                    |   12 
 BNPdensity-2020.3.4/BNPdensity/MD5                                            |  196 ++++----
 BNPdensity-2020.3.4/BNPdensity/NAMESPACE                                      |   11 
 BNPdensity-2020.3.4/BNPdensity/R/BNPdensity-package.R                         |   18 
 BNPdensity-2020.3.4/BNPdensity/R/MixNRMI1.R                                   |  115 ++---
 BNPdensity-2020.3.4/BNPdensity/R/MixNRMI1cens.R                               |  106 ----
 BNPdensity-2020.3.4/BNPdensity/R/MixNRMI2.R                                   |  109 ++--
 BNPdensity-2020.3.4/BNPdensity/R/MixNRMI2cens.R                               |  111 -----
 BNPdensity-2020.3.4/BNPdensity/R/cens_data_check.R                            |    5 
 BNPdensity-2020.3.4/BNPdensity/R/convert_fit_to_MCMC_chain.R                  |   82 +--
 BNPdensity-2020.3.4/BNPdensity/R/dist_name_k_converter.R                      |only
 BNPdensity-2020.3.4/BNPdensity/R/dk.R                                         |   48 --
 BNPdensity-2020.3.4/BNPdensity/R/dkcens2.R                                    |    2 
 BNPdensity-2020.3.4/BNPdensity/R/expected_number_of_clusters_stable_process.R |   30 -
 BNPdensity-2020.3.4/BNPdensity/R/fcondXA2cens2.R                              |    2 
 BNPdensity-2020.3.4/BNPdensity/R/fcondYXAcens2.R                              |    2 
 BNPdensity-2020.3.4/BNPdensity/R/fcondYZXA.R                                  |   12 
 BNPdensity-2020.3.4/BNPdensity/R/fcondYZXAcens2.R                             |   14 
 BNPdensity-2020.3.4/BNPdensity/R/gs4cens2.R                                   |    2 
 BNPdensity-2020.3.4/BNPdensity/R/gs5cens2.R                                   |    2 
 BNPdensity-2020.3.4/BNPdensity/R/gsYZstar.R                                   |    2 
 BNPdensity-2020.3.4/BNPdensity/R/gsYZstarcens2.R                              |    4 
 BNPdensity-2020.3.4/BNPdensity/R/helper_functions.R                           |   17 
 BNPdensity-2020.3.4/BNPdensity/R/mixture_density_functions.R                  |   58 +-
 BNPdensity-2020.3.4/BNPdensity/R/multMixNRMI.R                                |  221 ++--------
 BNPdensity-2020.3.4/BNPdensity/R/plotfit.R                                    |   14 
 BNPdensity-2020.3.4/BNPdensity/R/posterior_clustering_analysis.R              |    8 
 BNPdensity-2020.3.4/BNPdensity/R/ptnorm.R                                     |    2 
 BNPdensity-2020.3.4/BNPdensity/R/qtnorm.R                                     |    2 
 BNPdensity-2020.3.4/BNPdensity/R/rfystarcens2.R                               |    2 
 BNPdensity-2020.3.4/BNPdensity/R/rfyzstar.R                                   |    2 
 BNPdensity-2020.3.4/BNPdensity/R/rfyzstarcens2.R                              |    2 
 BNPdensity-2020.3.4/BNPdensity/R/rk.R                                         |    2 
 BNPdensity-2020.3.4/BNPdensity/R/traceplot.R                                  |    4 
 BNPdensity-2020.3.4/BNPdensity/data/Enzyme2.out.rda                           |binary
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 BNPdensity-2020.3.4/BNPdensity/man/Galaxy2.out.Rd                             |    4 
 BNPdensity-2020.3.4/BNPdensity/man/MixNRMI1.Rd                                |   83 +--
 BNPdensity-2020.3.4/BNPdensity/man/MixNRMI1cens.Rd                            |   53 +-
 BNPdensity-2020.3.4/BNPdensity/man/MixNRMI2.Rd                                |   73 +--
 BNPdensity-2020.3.4/BNPdensity/man/MixNRMI2cens.Rd                            |   59 +-
 BNPdensity-2020.3.4/BNPdensity/man/acidity.Rd                                 |    3 
 BNPdensity-2020.3.4/BNPdensity/man/add.Rd                                     |    3 
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 BNPdensity-2020.3.4/BNPdensity/man/fcondYZXA.Rd                               |    6 
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 BNPdensity-2020.3.4/BNPdensity/man/give_kernel_name.Rd                        |    3 
 BNPdensity-2020.3.4/BNPdensity/man/gs4cens2.Rd                                |   14 
 BNPdensity-2020.3.4/BNPdensity/man/gs5cens2.Rd                                |   13 
 BNPdensity-2020.3.4/BNPdensity/man/gsHP.Rd                                    |    2 
 BNPdensity-2020.3.4/BNPdensity/man/gsYZstar.Rd                                |   19 
 BNPdensity-2020.3.4/BNPdensity/man/gsYZstarcens2.Rd                           |   22 
 BNPdensity-2020.3.4/BNPdensity/man/multMixNRMI1.Rd                            |   52 +-
 BNPdensity-2020.3.4/BNPdensity/man/multMixNRMI1cens.Rd                        |   53 +-
 BNPdensity-2020.3.4/BNPdensity/man/multMixNRMI2.Rd                            |   56 +-
 BNPdensity-2020.3.4/BNPdensity/man/multMixNRMI2cens.Rd                        |   56 +-
 BNPdensity-2020.3.4/BNPdensity/man/p0.Rd                                      |    8 
 BNPdensity-2020.3.4/BNPdensity/man/pk.Rd                                      |    4 
 BNPdensity-2020.3.4/BNPdensity/man/plot.NRMI1.Rd                              |    8 
 BNPdensity-2020.3.4/BNPdensity/man/plot.NRMI2.Rd                              |    9 
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 BNPdensity-2020.3.4/BNPdensity/man/plot_clustering_and_CDF.Rd                 |    2 
 BNPdensity-2020.3.4/BNPdensity/man/plot_prior_number_of_components.Rd         |    9 
 BNPdensity-2020.3.4/BNPdensity/man/plotfit_censored.Rd                        |    2 
 BNPdensity-2020.3.4/BNPdensity/man/print.NRMI1.Rd                             |    9 
 BNPdensity-2020.3.4/BNPdensity/man/print.NRMI2.Rd                             |    7 
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 BNPdensity-2020.3.4/BNPdensity/man/ptnorm.Rd                                  |   11 
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 BNPdensity-2020.3.4/BNPdensity/man/rfystarcens2.Rd                            |   14 
 BNPdensity-2020.3.4/BNPdensity/man/rfyzstar.Rd                                |   16 
 BNPdensity-2020.3.4/BNPdensity/man/rfyzstarcens2.Rd                           |   18 
 BNPdensity-2020.3.4/BNPdensity/man/rk.Rd                                      |   10 
 BNPdensity-2020.3.4/BNPdensity/man/summary.NRMI1.Rd                           |    5 
 BNPdensity-2020.3.4/BNPdensity/man/summary.NRMI2.Rd                           |    8 
 BNPdensity-2020.3.4/BNPdensity/man/summary.multNRMI.Rd                        |    6 
 BNPdensity-2020.3.4/BNPdensity/man/traceplot.Rd                               |    4 
 107 files changed, 1037 insertions(+), 1078 deletions(-)

More information about BNPdensity at CRAN
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Package rapidjsonr updated to version 1.2.0 with previous version 1.1 dated 2018-09-22

Title: 'Rapidjson' C++ Header Files
Description: Provides JSON parsing capability through the 'Rapidjson' 'C++' header-only library.
Author: David Cooley [aut, cre], Milo Yip [ctb] (Author of c++ rapidjson library, provided through THL A29 Limited, a Tencent company), Alexander Chemeris [ctb] (Author of c++ msinttypes library)
Maintainer: David Cooley <dcooley@symbolix.com.au>

Diff between rapidjsonr versions 1.1 dated 2018-09-22 and 1.2.0 dated 2020-03-08

 DESCRIPTION                                  |   12 +--
 MD5                                          |   35 +++++----
 inst/include/rapidjson/allocators.h          |    2 
 inst/include/rapidjson/document.h            |   97 ++++++++++++++++++++++++---
 inst/include/rapidjson/filereadstream.h      |    2 
 inst/include/rapidjson/fwd.h                 |    2 
 inst/include/rapidjson/internal/biginteger.h |    2 
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 inst/include/rapidjson/internal/diyfp.h      |   18 -----
 inst/include/rapidjson/internal/regex.h      |   31 +++++---
 inst/include/rapidjson/internal/stack.h      |    5 -
 inst/include/rapidjson/istreamwrapper.h      |   83 +++++++++++++----------
 inst/include/rapidjson/pointer.h             |   66 +++++++++++++++++-
 inst/include/rapidjson/prettywriter.h        |    2 
 inst/include/rapidjson/rapidjson.h           |   24 ++++++
 inst/include/rapidjson/reader.h              |   50 +++++++------
 inst/include/rapidjson/schema.h              |   12 +--
 inst/include/rapidjson/writer.h              |   14 +--
 man/rapidjsonr-package.Rd                    |    2 
 19 files changed, 318 insertions(+), 141 deletions(-)

More information about rapidjsonr at CRAN
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Package mds updated to version 0.3.1 with previous version 0.3.0 dated 2019-07-04

Title: Medical Devices Surveillance
Description: A set of core functions for handling medical device event data in the context of post-market surveillance, pharmacovigilance, signal detection and trending, and regulatory reporting. Primary inputs are data on events by device and data on exposures by device. Outputs include: standardized device-event and exposure datasets, defined analyses, and time series.
Author: Gary Chung [aut, cre]
Maintainer: Gary Chung <gchung05@gmail.com>

Diff between mds versions 0.3.0 dated 2019-07-04 and 0.3.1 dated 2020-03-08

 DESCRIPTION                      |    8 
 MD5                              |   60 
 NAMESPACE                        |   20 
 NEWS.md                          |  139 +
 R/data.R                         |  136 -
 R/define_analyses.R              | 1268 ++++++++---------
 R/plot.R                         |  170 +-
 R/standardize_device_events.R    |  593 ++++----
 R/standardize_exposure.R         |  440 +++---
 R/time_series.R                  | 1049 +++++++-------
 R/utils.R                        |  324 ++--
 README.md                        |  178 +-
 build/vignette.rds               |binary
 inst/doc/mds_intro.R             |  288 ++--
 inst/doc/mds_intro.Rmd           |  968 ++++++-------
 inst/doc/mds_intro.html          | 2791 +++++++++++++++++++--------------------
 man/define_analyses.Rd           |   24 
 man/define_analyses_dataframe.Rd |    2 
 man/deviceevent.Rd               |   19 
 man/exposure.Rd                  |   11 
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 man/next_dev.Rd                  |    2 
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 man/time_series.Rd               |   17 
 tests/testthat.R                 |    8 
 tests/testthat/test_da.R         |  938 ++++++-------
 tests/testthat/test_de.R         |  330 ++--
 tests/testthat/test_exp.R        |  220 +--
 tests/testthat/test_ts.R         |  590 ++++----
 vignettes/mds_intro.Rmd          |  968 ++++++-------
 31 files changed, 5807 insertions(+), 5769 deletions(-)

More information about mds at CRAN
Permanent link


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