Wed, 09 Jun 2021

Package thematic updated to version 0.1.2.1 with previous version 0.1.2 dated 2021-03-29

Title: Unified and Automatic 'Theming' of 'ggplot2', 'lattice', and 'base' R Graphics
Description: Theme 'ggplot2', 'lattice', and 'base' graphics based on a few choices, including foreground color, background color, accent color, and font family. Fonts that aren't available on the system, but are available via download on 'Google Fonts', can be automatically downloaded, cached, and registered for use with the 'showtext' and 'ragg' packages.
Author: Carson Sievert [aut, cre] (<https://orcid.org/0000-0002-4958-2844>), Barret Schloerke [aut] (<https://orcid.org/0000-0001-9986-114X>), Joe Cheng [aut], RStudio [cph]
Maintainer: Carson Sievert <carson@rstudio.com>

Diff between thematic versions 0.1.2 dated 2021-03-29 and 0.1.2.1 dated 2021-06-09

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Package GpGp updated to version 0.4.0 with previous version 0.3.2 dated 2021-01-27

Title: Fast Gaussian Process Computation Using Vecchia's Approximation
Description: Functions for fitting and doing predictions with Gaussian process models using Vecchia's (1988) approximation. Package also includes functions for reordering input locations, finding ordered nearest neighbors (with help from 'FNN' package), grouping operations, and conditional simulations. Covariance functions for spatial and spatial-temporal data on Euclidean domains and spheres are provided. The original approximation is due to Vecchia (1988) <http://www.jstor.org/stable/2345768>, and the reordering and grouping methods are from Guinness (2018) <doi:10.1080/00401706.2018.1437476>. Model fitting employs a Fisher scoring algorithm described in Guinness (2019) <arXiv:1905.08374>.
Author: Joseph Guinness [aut, cre], Matthias Katzfuss [aut], Youssef Fahmy [aut]
Maintainer: Joseph Guinness <joeguinness@gmail.com>

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Package cryptowatchR updated to version 0.2.0 with previous version 0.1.0 dated 2021-05-25

Title: An API Wrapper for 'Cryptowatch'
Description: An API wrapper for 'Cryptowatch' to get prices and other information (e.g., volume, trades, order books, bid and ask prices, live quotes, and more) about cryptocurrencies and crypto exchanges. See <https://docs.cryptowat.ch/rest-api> for a detailed documentation.
Author: Lorenz Brachtendorf [aut, cre] (<https://orcid.org/0000-0001-7066-0838>)
Maintainer: Lorenz Brachtendorf <lorenz.brachtendorf@gmx.de>

Diff between cryptowatchR versions 0.1.0 dated 2021-05-25 and 0.2.0 dated 2021-06-09

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Package circlize updated to version 0.4.13 with previous version 0.4.12 dated 2021-01-08

Title: Circular Visualization
Description: Circular layout is an efficient way for the visualization of huge amounts of information. Here this package provides an implementation of circular layout generation in R as well as an enhancement of available software. The flexibility of the package is based on the usage of low-level graphics functions such that self-defined high-level graphics can be easily implemented by users for specific purposes. Together with the seamless connection between the powerful computational and visual environment in R, it gives users more convenience and freedom to design figures for better understanding complex patterns behind multiple dimensional data. The package is described in Gu et al. 2014 <doi:10.1093/bioinformatics/btu393>.
Author: Zuguang Gu
Maintainer: Zuguang Gu <z.gu@dkfz.de>

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Package parallelly updated to version 1.26.0 with previous version 1.25.0 dated 2021-04-30

Title: Enhancing the 'parallel' Package
Description: Utility functions that enhance the 'parallel' package and support the built-in parallel backends of the 'future' package. For example, availableCores() gives the number of CPU cores available to your R process as given by the operating system, 'cgroups' and Linux containers, R options, and environment variables, including those set by job schedulers on high-performance compute clusters. If none is set, it will fall back to parallel::detectCores(). Another example is makeClusterPSOCK(), which is backward compatible with parallel::makePSOCKcluster() while doing a better job in setting up remote cluster workers without the need for configuring the firewall to do port-forwarding to your local computer.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

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Package sf updated to version 1.0-0 with previous version 0.9-8 dated 2021-03-17

Title: Simple Features for R
Description: Support for simple features, a standardized way to encode spatial vector data. Binds to 'GDAL' for reading and writing data, to 'GEOS' for geometrical operations, and to 'PROJ' for projection conversions and datum transformations. Optionally uses the 's2' package for spherical geometry operations on geographic coordinates.
Author: Edzer Pebesma [aut, cre] (<https://orcid.org/0000-0001-8049-7069>), Roger Bivand [ctb] (<https://orcid.org/0000-0003-2392-6140>), Etienne Racine [ctb], Michael Sumner [ctb], Ian Cook [ctb], Tim Keitt [ctb], Robin Lovelace [ctb], Hadley Wickham [ctb], Jeroen Ooms [ctb] (<https://orcid.org/0000-0002-4035-0289>), Kirill Müller [ctb], Thomas Lin Pedersen [ctb], Dan Baston [ctb], Dewey Dunnington [ctb]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

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Package sbm updated to version 0.4.3 with previous version 0.4.2 dated 2021-05-31

Title: Stochastic Blockmodels
Description: A collection of tools and functions to adjust a variety of stochastic blockmodels (SBM). Supports at the moment Simple, Bipartite, 'Multipartite' and Multiplex SBM (undirected or directed with Bernoulli, Poisson or Gaussian emission laws on the edges, and possibly covariate for Simple and Bipartite SBM). See Léger (2016) <arxiv:1602.07587>, 'Barbillon et al.' (2020) <doi:10.1111/rssa.12193> and 'Bar-Hen et al.' (2020) <arxiv:1807.10138>.
Author: Julien Chiquet [aut, cre] (<https://orcid.org/0000-0002-3629-3429>), Sophie Donnet [aut] (<https://orcid.org/0000-0003-4370-7316>), großBM team [ctb], Pierre Barbillon [aut] (<https://orcid.org/0000-0002-7766-7693>)
Maintainer: Julien Chiquet <julien.chiquet@inrae.fr>

Diff between sbm versions 0.4.2 dated 2021-05-31 and 0.4.3 dated 2021-06-09

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Package listcompr updated to version 0.3.0 with previous version 0.2.0 dated 2021-04-02

Title: List Comprehension for R
Description: Syntactic shortcuts for creating synthetic lists, vectors, data frames, and matrices using list comprehension.
Author: Patrick Roocks <mail@p-roocks.de>
Maintainer: Patrick Roocks <mail@p-roocks.de>

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Package FSA updated to version 0.9.0 with previous version 0.8.32 dated 2021-01-15

Title: Simple Fisheries Stock Assessment Methods
Description: A variety of simple fish stock assessment methods. Detailed vignettes are available on the fishR website <http://derekogle.com/fishR/>.
Author: Derek Ogle [aut, cre] (<https://orcid.org/0000-0002-0370-9299>), Jason Doll [aut], Powell Wheeler [aut], Alexis Dinno [aut] (Provided base functionality of dunnTest())
Maintainer: Derek Ogle <derek@derekogle.com>

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Package movecost updated to version 1.0 with previous version 0.9 dated 2021-05-31

Title: Calculation of Slope-Dependant Accumulated Cost Surface, Least-Cost Paths, and Least-Cost Corridors Related to Human Movement Across the Landscape
Description: Provides the facility to calculate non-isotropic accumulated cost surface, least-cost paths, and least-cost corridors using a number of human-movement-related cost functions that can be selected by the user. It just requires a Digital Terrain Model, a start location and (optionally) destination locations. See Alberti (2019) <doi:10.1016/j.softx.2019.100331>.
Author: Gianmarco Alberti [aut, cre]
Maintainer: Gianmarco Alberti <gianmarcoalberti@gmail.com>

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Package lphom updated to version 0.1.4 with previous version 0.1.3 dated 2021-06-02

Title: Ecological Inference by Linear Programming under Homogeneity
Description: Provides a bunch of algorithms based on linear programming for estimating RxC ecological contingency tables (vote transitions matrices) using exclusively aggregate results from voting units under the homogeneity hypothesis. References: Romero, Pavia, Martin and Romero (2020) <doi:10.1080/02664763.2020.1804842>. Pavia and Romero (2021) Improving estimates accuracy of voter transitions. Two new algorithms for ecological inference based on linear programming.
Author: Jose M. Pavía [aut, cre] (<https://orcid.org/0000-0002-0129-726X>), Rafael Romero [aut]
Maintainer: Jose M. Pavía <jose.m.pavia@uv.es>

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Package invacost updated to version 1.1 with previous version 1.0 dated 2020-12-18

Title: Analyse Biological Invasion Costs with the 'InvaCost' Database
Description: Provides an up-to-date version of the 'InvaCost' database (<doi:10.6084/m9.figshare.12668570>) in R, and several functions to analyse the costs of invasive alien species.
Author: Boris Leroy [cre, aut], Andrew Kramer [aut], Anne-Charlotte Vaissière [ctb], Christophe Diagne [ctb]
Maintainer: Boris Leroy <leroy.boris@gmail.com>

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Package ragg updated to version 1.1.3 with previous version 1.1.2 dated 2021-03-17

Title: Graphic Devices Based on AGG
Description: Anti-Grain Geometry (AGG) is a high-quality and high-performance 2D drawing library. The 'ragg' package provides a set of graphic devices based on AGG to use as alternative to the raster devices provided through the 'grDevices' package.
Author: Thomas Lin Pedersen [cre, aut] (<https://orcid.org/0000-0002-5147-4711>), Maxim Shemanarev [aut, cph] (Author of AGG), Tony Juricic [ctb, cph] (Contributor to AGG), Milan Marusinec [ctb, cph] (Contributor to AGG), Spencer Garrett [ctb] (Contributor to AGG), RStudio [cph]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@rstudio.com>

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Package metafor updated to version 3.0-2 with previous version 3.0-1 dated 2021-06-03

Title: Meta-Analysis Package for R
Description: A comprehensive collection of functions for conducting meta-analyses in R. The package includes functions to calculate various effect sizes or outcome measures, fit fixed-, random-, and mixed-effects models to such data, carry out moderator and meta-regression analyses, and create various types of meta-analytical plots (e.g., forest, funnel, radial, L'Abbe, Baujat, bubble, and GOSH plots). For meta-analyses of binomial and person-time data, the package also provides functions that implement specialized methods, including the Mantel-Haenszel method, Peto's method, and a variety of suitable generalized linear (mixed-effects) models (i.e., mixed-effects logistic and Poisson regression models). Finally, the package provides functionality for fitting meta-analytic multivariate/multilevel models that account for non-independent sampling errors and/or true effects (e.g., due to the inclusion of multiple treatment studies, multiple endpoints, or other forms of clustering). Network meta-analyses and meta-analyses accounting for known correlation structures (e.g., due to phylogenetic relatedness) can also be conducted. An introduction to the package can be found in Viechtbauer (2010) <doi:10.18637/jss.v036.i03>.
Author: Wolfgang Viechtbauer [aut, cre] (<https://orcid.org/0000-0003-3463-4063>)
Maintainer: Wolfgang Viechtbauer <wvb@metafor-project.org>

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Package maotai updated to version 0.2.0 with previous version 0.1.9 dated 2021-04-24

Title: Tools for Matrix Algebra, Optimization and Inference
Description: Matrix is an universal and sometimes primary object/unit in applied mathematics and statistics. We provide a number of algorithms for selected problems in optimization and statistical inference. For general exposition to the topic with focus on statistical context, see the book by Banerjee and Roy (2014, ISBN:9781420095388).
Author: Kisung You [aut, cre] (<https://orcid.org/0000-0002-8584-459X>)
Maintainer: Kisung You <kisungyou@outlook.com>

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Package iai updated to version 1.6.0 with previous version 1.5.0 dated 2021-02-03

Title: Interface to 'Interpretable AI' Modules
Description: An interface to the algorithms of 'Interpretable AI' <https://www.interpretable.ai> from the R programming language. 'Interpretable AI' provides various modules, including 'Optimal Trees' for classification, regression, prescription and survival analysis, 'Optimal Imputation' for missing data imputation and outlier detection, and 'Optimal Feature Selection' for exact sparse regression. The 'iai' package is an open-source project. The 'Interpretable AI' software modules are proprietary products, but free academic and evaluation licenses are available.
Author: Jack Dunn [aut, cre], Ying Zhuo [aut], Interpretable AI LLC [cph]
Maintainer: Jack Dunn <jack@interpretable.ai>

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Package ZIprop updated to version 0.1.1 with previous version 0.1.0 dated 2021-04-08

Title: Permutations Tests and Performance Indicator for Zero-Inflated Proportions Response
Description: Permutations tests to identify factor correlated to zero-inflated proportions response. Provide a performance indicator based on Spearman correlation to quantify the part of correlation explained by the selected set of factors. See details for the method at the following preprint e.g.: <https://hal.archives-ouvertes.fr/hal-02936779v3>.
Author: Melina Ribaud
Maintainer: Melina Ribaud <melina.ribaud@gmail.com>

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Package vaultr updated to version 1.1.0 with previous version 1.0.2 dated 2019-05-16

Title: Vault Client for Secrets and Sensitive Data
Description: Provides an interface to a 'HashiCorp' vault server over its http API (typically these are self-hosted; see <https://www.vaultproject.io>). This allows for secure storage and retrieval of secrets over a network, such as tokens, passwords and certificates. Authentication with vault is supported through several backends including user name/password and authentication via 'GitHub'.
Author: Rich FitzJohn [aut, cre], Robert Ashton [aut], Wes Hinsley [aut], Imperial College of Science, Technology and Medicine [cph]
Maintainer: Rich FitzJohn <rich.fitzjohn@gmail.com>

Diff between vaultr versions 1.0.2 dated 2019-05-16 and 1.1.0 dated 2021-06-09

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Package textshaping updated to version 0.3.5 with previous version 0.3.4 dated 2021-05-11

Title: Bindings to the 'HarfBuzz' and 'Fribidi' Libraries for Text Shaping
Description: Provides access to the text shaping functionality in the 'HarfBuzz' library and the bidirectional algorithm in the 'Fribidi' library. 'textshaping' is a low-level utility package mainly for graphic devices that expands upon the font tool-set provided by the 'systemfonts' package.
Author: Thomas Lin Pedersen [cre, aut] (<https://orcid.org/0000-0002-5147-4711>), RStudio [cph]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@rstudio.com>

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Package maptiles updated to version 0.2.0 with previous version 0.1.3 dated 2021-04-28

Title: Download and Display Map Tiles
Description: To create maps from tiles, 'maptiles' downloads, composes and displays tiles from a large number of providers (e.g. 'OpenStreetMap', 'Stamen', 'Esri', 'CARTO', or 'Thunderforest').
Author: Timothée Giraud [cre, aut] (<https://orcid.org/0000-0002-1932-3323>), Diego Hernangómez [ctb] (<https://orcid.org/0000-0001-8457-4658>), Robert J. Hijmans [ctb] (<https://orcid.org/0000-0001-5872-2872>), Hugh A. Graham [ctb]
Maintainer: Timothée Giraud <timothee.giraud@cnrs.fr>

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Package conleyreg updated to version 0.1.2 with previous version 0.1.1 dated 2021-05-27

Title: Estimations using Conley Standard Errors
Description: Merges and extends multiple packages and other published scripts calculating Conley (1999) <doi:10.1016/S0304-4076(98)00084-0> standard errors. Details are available in the function documentation and in the vignette.
Author: Christian Düben [aut, cre], Richard Bluhm [cph], Luis Calderon [cph], Darin Christensen [cph], Timothy Conley [cph], Thiemo Fetzer [cph], Leander Heldring [cph]
Maintainer: Christian Düben <christian.dueben@uni-hamburg.de>

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Package wrGraph updated to version 1.2.4 with previous version 1.2.3 dated 2021-04-11

Title: Graphics in the Context of Analyzing High-Throughput Data
Description: Additional options for making graphics in the context of analyzing high-throughput data are available here. This includes automatic segmenting of the current device (eg window) to accommodate multiple new plots, automatic checking for optimal location of legends in plots, small histograms to insert as legends, histograms re-transforming axis labels to linear when plotting log2-transformed data, a violin-plot <doi:10.1080/00031305.1998.10480559> function for a wide variety of input-formats, principal components analysis (PCA) <doi:10.1080/14786440109462720> with bag-plots <doi:10.1080/00031305.1999.10474494> to highlight and compare the center areas for groups of samples, generic MA-plots (differential- versus average-value plots) <doi:10.1093/nar/30.4.e15>, staggered count plots and generation of mouse-over interactive html pages.
Author: Wolfgang Raffelsberger [aut, cre]
Maintainer: Wolfgang Raffelsberger <w.raffelsberger@gmail.com>

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Package SCORPIUS updated to version 1.0.8 with previous version 1.0.7 dated 2020-05-11

Title: Inferring Developmental Chronologies from Single-Cell RNA Sequencing Data
Description: An accurate and easy tool for performing linear trajectory inference on single cells using single-cell RNA sequencing data. In addition, SCORPIUS provides functions for discovering the most important genes with respect to the reconstructed trajectory, as well as nice visualisation tools. Cannoodt et al. (2016) <doi:10.1101/079509>.
Author: Robrecht Cannoodt [aut, cre] (<https://orcid.org/0000-0003-3641-729X>, rcannood), Wouter Saelens [ctb] (<https://orcid.org/0000-0002-7114-6248>, zouter)
Maintainer: Robrecht Cannoodt <rcannood@gmail.com>

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New package mcboost with initial version 0.3.0
Package: mcboost
Title: Multi-Calibration Boosting
Version: 0.3.0
Authors@R: c(person(given = "Florian", family = "Pfisterer", role = c("cre", "aut"), email = "pfistererf@googlemail.com", comment = c(ORCID = "0000-0001-8867-762X")), person(given = "Susanne", family = "Dandl", role = "ctb", email = "susanne.dandl@stat.uni-muenchen.de", comment = c(ORCID = "0000-0003-4324-4163")), person(given = "Christoph", family = "Kern", role = "ctb", email = "c.kern@uni-mannheim.de", comment = c(ORCID = "0000-0001-7363-4299")), person(given = "Bernd", family = "Bischl", role = "ctb", email = "bernd_bischl@gmx.net", comment = c(ORCID = "0000-0001-6002-6980")) )
Maintainer: Florian Pfisterer <pfistererf@googlemail.com>
Description: Implements 'Multi-Calibration Boosting' (2018) <https://proceedings.mlr.press/v80/hebert-johnson18a.html> and 'Multi-Accuracy Boosting' (2019) <arXiv:1805.12317> for the multi-calibration of a machine learning model's prediction. 'MCBoost' updates predictions for sub-groups in an iterative fashion in order to mitigate biases like poor calibration or large accuracy differences across subgroups. Multi-Calibration works best in scenarios where the underlying data & labels are unbiased, but resulting models are. This is often the case, e.g. when an algorithm fits a majority population while ignoring or under-fitting minority populations.
License: LGPL (>= 3)
URL: https://github.com/mlr-org/mcboost
BugReports: https://github.com/mlr-org/mcboost/issues
Encoding: UTF-8
Depends: R (>= 3.1.0)
Imports: backports, checkmate (>= 2.0.0), lifecycle, data.table (>= 1.13.6), mlr3 (>= 0.10), mlr3misc (>= 0.8.0), mlr3pipelines (>= 0.3.0), R6 (>= 2.4.1), rpart, glmnet
Suggests: curl, formattable, tidyverse, PracTools, mlr3learners, mlr3oml, neuralnet, paradox, testthat, knitr, ranger, rmarkdown, covr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-06-09 08:38:26 UTC; flo
Author: Florian Pfisterer [cre, aut] (<https://orcid.org/0000-0001-8867-762X>), Susanne Dandl [ctb] (<https://orcid.org/0000-0003-4324-4163>), Christoph Kern [ctb] (<https://orcid.org/0000-0001-7363-4299>), Bernd Bischl [ctb] (<https://orcid.org/0000-0001-6002-6980>)
Repository: CRAN
Date/Publication: 2021-06-09 12:30:02 UTC

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New package hillshader with initial version 0.1.0
Package: hillshader
Title: Create Hillshade Relief Maps Using Ray-Tracing
Version: 0.1.0
Authors@R: person(given = "Pierre", family = "Roudier", role = c("aut", "cre"), email = "pierre.roudier@gmail.com", comment = c(ORCID = "0000-0001-7431-2603"))
Description: A set of tools to create georeferenced hillshade relief raster maps using ray-tracing and other advanced hill-shading techniques. It includes a wrapper function to create a georeferenced, ray-traced hillshade map from a digital elevation model, and other functions that can be used in a rayshader pipeline.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: methods, raster, rayshader, scales
Suggests: rgdal
Depends: R (>= 2.10)
Collate: 'add_shadow_2d.R' 'matrix_to_raster.R' 'write_raster.R' 'utils.R' 'hillshader.R' 'maungawhau.R' 'maungawhau_hr.R'
NeedsCompilation: no
Packaged: 2021-06-09 07:20:47 UTC; pierre
Author: Pierre Roudier [aut, cre] (<https://orcid.org/0000-0001-7431-2603>)
Maintainer: Pierre Roudier <pierre.roudier@gmail.com>
Repository: CRAN
Date/Publication: 2021-06-09 12:20:02 UTC

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New package aglm with initial version 0.4.0
Package: aglm
Title: Accurate Generalized Linear Model
Version: 0.4.0
Authors@R: c( person("Kenji", "Kondo", role=c("aut", "cre", "cph"), email="kkondo.odnokk@gmail.com"), person("Kazuhisa", "Takahashi", role=c("ctb")), person("Hikari", "Banno", role=c("ctb")) )
Description: Provides functions to fit Accurate Generalized Linear Model (AGLM) models, visualize them, and predict for new data. AGLM is defined as a regularized GLM which applies a sort of feature transformations using a discretization of numerical features and specific coding methodologies of dummy variables. For more information on AGLM, see Suguru Fujita, Toyoto Tanaka, Kenji Kondo and Hirokazu Iwasawa (2020) <https://www.institutdesactuaires.com/global/gene/link.php?doc_id=16273&fg=1>.
URL: https://github.com/kkondo1981/aglm
BugReports: https://github.com/kkondo1981/aglm/issues
License: GPL-2
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.0.0),
Imports: glmnet (>= 4.0.2), assertthat, methods, mathjaxr
Suggests: testthat, knitr, rmarkdown, MASS, faraway
RdMacros: mathjaxr
NeedsCompilation: no
Packaged: 2021-06-09 02:14:52 UTC; kkond
Author: Kenji Kondo [aut, cre, cph], Kazuhisa Takahashi [ctb], Hikari Banno [ctb]
Maintainer: Kenji Kondo <kkondo.odnokk@gmail.com>
Repository: CRAN
Date/Publication: 2021-06-09 12:10:02 UTC

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Package ggstatsplot updated to version 0.8.0 with previous version 0.7.2 dated 2021-04-12

Title: 'ggplot2' Based Plots with Statistical Details
Description: Extension of 'ggplot2', 'ggstatsplot' creates graphics with details from statistical tests included in the plots themselves. It provides an easier syntax to generate information-rich plots for statistical analysis of continuous (violin plots, scatterplots, histograms, dot plots, dot-and-whisker plots) or categorical (pie and bar charts) data. Currently, it supports the most common types of statistical approaches and tests: parametric, nonparametric, robust, and Bayesian versions of t-test/ANOVA, correlation analyses, contingency table analysis, meta-analysis, and regression analyses.
Author: Indrajeet Patil [cre, aut, cph] (<https://orcid.org/0000-0003-1995-6531>, @patilindrajeets)
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>

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More information about ggstatsplot at CRAN
Permanent link

New package dmri.tracking with initial version 0.1.0
Package: dmri.tracking
Title: DiST - Diffusion Direction Smoothing and Tracking
Version: 0.1.0
Depends: R (>= 3.5.0)
Authors@R: c(person("Seungyong", "Hwang", email="syhwang@ucdavis.edu", role=c("aut", "cre")), person("Raymond", "Wong", email="raywong@tamu.edu", role=c("aut")), person("Seungyong", "Hwang", email="syhwang@ucdavis.edu", role=c("aut")))
Maintainer: Seungyong Hwang <syhwang@ucdavis.edu>
Description: It provides functions to apply the deterministic tracking algorithm - DiST (Wong et al 2016) <doi:10.1214/15-AOAS880> and to plot tractography results.
License: MIT + file LICENSE
URL: https://github.com/vic-dragon/dmri.tracking
BugReports: https://github.com/vic-dragon/dmri.tracking/issues
Encoding: UTF-8
Imports: rgl
Suggests: rmarkdown, knitr, testthat (>= 3.0.0), covr
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2021-06-08 19:31:44 UTC; seungyong
Author: Seungyong Hwang [aut, cre], Raymond Wong [aut], Seungyong Hwang [aut]
Repository: CRAN
Date/Publication: 2021-06-09 11:30:02 UTC

More information about dmri.tracking at CRAN
Permanent link

New package contTimeCausal with initial version 1.0
Package: contTimeCausal
Title: Continuous Time Causal Models
Version: 1.0
Date: 2021-06-08
Author: Shu Yang [aut], Shannon Holloway [aut, cre]
Authors@R: c(person("Shu", "Yang", role = "aut"), person("Shannon", "Holloway", role = c("aut", "cre"), email = "sthollow@ncsu.edu"))
Maintainer: Shannon Holloway <sthollow@ncsu.edu>
Description: Implements the semiparametric efficient estimators of continuous-time causal models for time-varying treatments and confounders in the presence of dependent censoring (including structural failure time model and Cox proportional hazards marginal structural model). S. Yang, K. Pieper, and F. Cools (2019) <doi:10.1111/biom.12845>.
License: GPL (>= 2)
LazyData: TRUE
Depends: dplyr, survival
Imports: zoo, stats, methods
VignetteBuilder: knitr
Suggests: rmarkdown, knitr
Encoding: UTF-8
Collate: 'zooStep.R' 'IPCWStep.R' 'VStep.R' 'VStep2.R' 'verifyInputs.R' 'ctCoxMSM.R' 'ctSFTM.R' 'ctcData.R' 'print.ctc.R'
NeedsCompilation: no
Packaged: 2021-06-08 19:58:18 UTC; sthollow
Repository: CRAN
Date/Publication: 2021-06-09 11:40:02 UTC

More information about contTimeCausal at CRAN
Permanent link

Package spant updated to version 1.13.0 with previous version 1.12.0 dated 2021-05-05

Title: MR Spectroscopy Analysis Tools
Description: Tools for reading, visualising and processing Magnetic Resonance Spectroscopy data. The package includes methods for spectral fitting: Wilson (2021) <DOI:10.1002/mrm.28385> and spectral alignment: Wilson (2018) <DOI:10.1002/mrm.27605>.
Author: Martin Wilson [cre, aut] (<https://orcid.org/0000-0002-2089-3956>), Yong Wang [ctb], John Muschelli [ctb]
Maintainer: Martin Wilson <martin@pipegrep.co.uk>

Diff between spant versions 1.12.0 dated 2021-05-05 and 1.13.0 dated 2021-06-09

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Package predictmeans updated to version 1.0.6 with previous version 1.0.4 dated 2020-04-15

Title: Calculate Predicted Means for Linear Models
Description: Providing functions to diagnose and make inferences from various linear models, such as those obtained from 'aov', 'lm', 'glm', 'gls', 'lme', and 'lmer'. Inferences include predicted means and standard errors, contrasts, multiple comparisons, permutation tests and graphs.
Author: Dongwen Luo, Siva Ganesh and John Koolaard
Maintainer: Dongwen Luo <dongwen.luo@agresearch.co.nz>

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Package causaloptim updated to version 0.8.2 with previous version 0.7.1 dated 2020-05-07

Title: An Interface to Specify Causal Graphs and Compute Bounds on Causal Effects
Description: When causal quantities are not identifiable from the observed data, it still may be possible to bound these quantities using the observed data. We outline a class of problems for which the derivation of tight bounds is always a linear programming problem and can therefore, at least theoretically, be solved using a symbolic linear optimizer. We extend and generalize the approach of Balke and Pearl (1994) <doi:10.1016/B978-1-55860-332-5.50011-0> and we provide a user friendly graphical interface for setting up such problems via directed acyclic graphs (DAG), which only allow for problems within this class to be depicted. The user can then define linear constraints to further refine their assumptions to meet their specific problem, and then specify a causal query using a text interface. The program converts this user defined DAG, query, and constraints, and returns tight bounds. The bounds can be converted to R functions to evaluate them for specific datasets, and to latex code for publication. The methods and proofs of tightness and validity of the bounds are described in a preprint by Sachs, Gabriel, and Sjölander (2020) <https://sachsmc.github.io/causaloptim/articles/CausalBoundsMethods.pdf>.
Author: Michael C Sachs [aut, cre], Erin E Gabriel [aut], Arvid Sjölander [aut], Gustav Jonzon [ctb] ((improved vertex enumeration)), Alexander A Balke [ctb] ((C++ code)), Colorado Reed [ctb] ((graph-creator.js))
Maintainer: Michael C Sachs <sachsmc@gmail.com>

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Package weights updated to version 1.0.3 with previous version 1.0.2 dated 2021-05-27

Title: Weighting and Weighted Statistics
Description: Provides a variety of functions for producing simple weighted statistics, such as weighted Pearson's correlations, partial correlations, Chi-Squared statistics, histograms, and t-tests. Also now includes some software for quickly recoding survey data and plotting estimates from interaction terms in regressions (and multiply imputed regressions) both with and without weights. NOTE: Weighted partial correlation calculations pulled to address a bug.
Author: Josh Pasek [aut, cre], with some assistance from Alex Tahk and some code modified from R-core; Additional contributions by Gene Culter and Marcus Schwemmle.
Maintainer: Josh Pasek <josh@joshpasek.com>

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Package SeuratObject updated to version 4.0.2 with previous version 4.0.1 dated 2021-05-08

Title: Data Structures for Single Cell Data
Description: Defines S4 classes for single-cell genomic data and associated information, such as dimensionality reduction embeddings, nearest-neighbor graphs, and spatially-resolved coordinates. Provides data access methods and R-native hooks to ensure the Seurat object is familiar to other R users. See Satija R, Farrell J, Gennert D, et al (2015) <doi:10.1038/nbt.3192>, Macosko E, Basu A, Satija R, et al (2015) <doi:10.1016/j.cell.2015.05.002>, and Stuart T, Butler A, et al (2019) <doi:10.1016/j.cell.2019.05.031> for more details.
Author: Rahul Satija [aut] (<https://orcid.org/0000-0001-9448-8833>), Andrew Butler [aut] (<https://orcid.org/0000-0003-3608-0463>), Paul Hoffman [aut, cre] (<https://orcid.org/0000-0002-7693-8957>), Tim Stuart [aut] (<https://orcid.org/0000-0002-3044-0897>), Jeff Farrell [ctb], Shiwei Zheng [ctb] (<https://orcid.org/0000-0001-6682-6743>), Christoph Hafemeister [ctb] (<https://orcid.org/0000-0001-6365-8254>), Patrick Roelli [ctb], Yuhan Hao [ctb] (<https://orcid.org/0000-0002-1810-0822>)
Maintainer: Paul Hoffman <seurat@nygenome.org>

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Package rpmodel updated to version 1.2.0 with previous version 1.0.4 dated 2019-12-04

Title: P-Model
Description: Implements the P-model (Stocker et al., 2020 <doi:10.5194/gmd-13-1545-2020>), predicting acclimated parameters of the enzyme kinetics of C3 photosynthesis, assimilation, and dark respiration rates as a function of the environment (temperature, CO2, vapour pressure deficit, light, atmospheric pressure).
Author: Benjamin Stocker [aut, cre] (<https://orcid.org/0000-0002-5070-8109>), Koen Hufkens [ctb] (<https://orcid.org/0000-0002-5070-8109>)
Maintainer: Benjamin Stocker <benjamin.stocker@gmail.com>

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Package RPEIF updated to version 1.2.3 with previous version 1.2.2 dated 2021-05-13

Title: Computation and Plots of Influence Functions for Risk and Performance Measures
Description: Computes the influence functions time series of the returns for the risk and performance measures as mentioned in Chen and Martin (2018) <https://www.ssrn.com/abstract=3085672>, as well as in Zhang et al. (2019) <https://www.ssrn.com/abstract=3415903>. Also evaluates estimators influence functions at a set of parameter values and plots them to display the shapes of the influence functions.
Author: Anthony Christidis <anthony.christidis@stat.ubc.ca>, Shengyu Zhang <syzhang@uw.edu>, Douglas Martin <doug@amath.washington.edu>
Maintainer: Anthony Christidis <anthony.christidis@stat.ubc.ca>

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Package glmtoolbox updated to version 0.1.1 with previous version 0.1.0 dated 2021-04-13

Title: Set of Tools to Data Analysis using Generalized Linear Models
Description: Set of tools to the statistical analysis of data using: (1) normal linear models; (2) generalized linear models; (3) negative binomial regression models as alternative to the Poisson regression models under the presence of overdispersion; (4) beta-binomial regression models as alternative to the binomial regression models under the presence of overdispersion; (5) generalized estimating equations for cluster correlated data.
Author: Luis Hernando Vanegas [aut, cre], Luz Marina Rondón [aut], Gilberto A. Paula [aut]
Maintainer: Luis Hernando Vanegas <lhvanegasp@unal.edu.co>

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Package covsim updated to version 0.2.0 with previous version 0.1.0 dated 2020-05-12

Title: VITA, IG and PLSIM Simulation for Given Covariance and Marginals
Description: User specifies population covariance matrix. Marginal information may be fully specified, for which the package implements the VITA (VIne-To-Anything) algorithm. Groenneberg and Foldnes (2017) <doi:10.1007/s11336-017-9569-6>. Alternatively, marginal skewness and kurtosis may be specified, for which the package implements the IG (independent generator) and PLSIM (piecewise linear) algorithms. Foldnes and Olsson (2016) <doi:10.1080/00273171.2015.1133274>. Foldnes and Groenneberg (2021).
Author: Njaal Foldnes [aut, cre], Steffen Groenneberg [aut]
Maintainer: Njaal Foldnes <njal.foldnes@gmail.com>

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Package autostsm updated to version 1.4 with previous version 1.3 dated 2021-05-04

Title: Automatic Structural Time Series Models
Description: Automatic model selection for structural time series decomposition into trend, cycle, and seasonal components using the Kalman filter. Koopman, Siem Jan and Marius Ooms (2012) "Forecasting Economic Time Series Using Unobserved Components Time Series Models" <doi:10.1093/oxfordhb/9780195398649.013.0006>. Kim, Chang-Jin and Charles R. Nelson (1999) "State-Space Models with Regime Switching: Classical and Gibbs-Sampling Approaches with Applications" <doi:10.7551/mitpress/6444.001.0001><http://econ.korea.ac.kr/~cjkim/>.
Author: Alex Hubbard
Maintainer: Alex Hubbard <hubbard.alex@gmail.com>

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New package spamtree with initial version 0.2.1
Package: spamtree
Title: Spatial Multivariate Trees
Version: 0.2.1
Date: 2021-06-08
Author: Michele Peruzzi
Maintainer: Michele Peruzzi <michele.peruzzi@duke.edu>
Description: Fits multivariate Bayesian spatial regression models for large datasets using Spatial Multivariate Trees (SpamTrees). The methods in this package are detailed in Peruzzi and Dunson (2020) <arXiv:2012.00943>.
License: GPL-3
Imports: Rcpp (>= 1.0.3), FNN, dplyr, magrittr, rlang, tibble
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, abind, ggplot2
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2021-06-08 17:09:42 UTC; mkln
Repository: CRAN
Date/Publication: 2021-06-09 07:30:02 UTC

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New package scDHA with initial version 1.1.0
Package: scDHA
Title: Single-Cell Decomposition using Hierarchical Autoencoder
Version: 1.1.0
Authors@R: c( person("Duc", "Tran", , "duct@nevada.unr.edu", role = c("aut", "cre")), person("Tin", "Nguyen", role = c("fnd")) )
Maintainer: Duc Tran <duct@nevada.unr.edu>
Description: Provides a fast and accurate pipeline for single-cell analyses. The 'scDHA' software package can perform clustering, dimension reduction and visualization, classification, and time-trajectory inference on single-cell data (Tran et.al. (2021) <DOI:10.1038/s41467-021-21312-2>).
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.4)
Imports: matrixStats, foreach, doParallel, igraph, Matrix, uwot, cluster, clusterCrit, Rcpp, RcppParallel, RcppAnnoy, methods, torch (>= 0.3.0), RhpcBLASctl
LinkingTo: Rcpp, RcppArmadillo, RcppParallel, RcppAnnoy
Suggests: testthat, knitr, mclust
NeedsCompilation: yes
VignetteBuilder: knitr
URL: https://github.com/duct317/scDHA
BugReports: https://github.com/duct317/scDHA/issues
Packaged: 2021-06-08 17:05:32 UTC; dtran
Author: Duc Tran [aut, cre], Tin Nguyen [fnd]
Repository: CRAN
Date/Publication: 2021-06-09 07:20:02 UTC

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Package RPESE updated to version 1.2.3 with previous version 1.2.2 dated 2021-05-13

Title: Estimates of Standard Errors for Risk and Performance Measures
Description: Estimates of standard errors of popular risk and performance measures for asset or portfolio returns using methods as described in Chen and Martin (2018) <https://www.ssrn.com/abstract=3085672>.
Author: Anthony Christidis <anthony.christidis@stat.ubc.ca>, Xin Chen <chenx26@uw.edu>
Maintainer: Anthony Christidis <anthony.christidis@stat.ubc.ca>

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Package rgeoprofile updated to version 0.2.2 with previous version 0.2.1 dated 2021-03-28

Title: Geographic Profiling Methods for Serial Crime Analysis
Description: An implementation of functions for the analysis of serial crime incidents. The package implements algorithms for the geographical profiling of serial incidents in attempt to prioritize the area in which the anchor point or home base of the perpetrator is located. The geographic profiling methods in the package are implemented based upon the 'Dragnet' software by Canter, Coffey, Huntley, and Missen (2000) <doi:10.1023/A:1007551316253>, the 'CrimeStat' software by Levine (2013) <https://nij.ojp.gov/topics/articles/crimestat-spatial-statistics-program-analysis-crime-incident-locations>, and the criminal geographic targeting model outlined in Rossmo (2000, ISBN:978-0849381294) and Rossmo (1995) <http://summit.sfu.ca/item/6820>.
Author: Jamie Spaulding and Keith Morris
Maintainer: Jamie Spaulding <jspaulding02@hamline.edu>

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Package msaeRB updated to version 0.2.0 with previous version 0.1.5 dated 2021-05-03

Title: Ratio Benchmarking for Multivariate Small Area Estimation
Description: Implements multivariate ratio benchmarking small area estimation. This package provides ratio benchmarking estimation for univariate and multivariate small area estimation and its MSE. In fact, MSE estimators for ratio benchmark are not readily available, so resampling method that called parametric bootstrap is applied. The ratio benchmark model and parametric bootstrap in this package are based on the model proposed in small area estimation. J.N.K Rao and Isabel Molina (2015, ISBN: 978-1-118-73578-7).
Author: Zenda Oka Briantiko [aut, cre], Azka Ubaidillah [aut]
Maintainer: Zenda Oka Briantiko <221710087@stis.ac.id>

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Package EHR updated to version 0.4-1 with previous version 0.4-0 dated 2021-06-05

Title: Electronic Health Record (EHR) Data Processing and Analysis Tool
Description: Process and analyze electronic health record (EHR) data. The 'EHR' package provides modules to perform diverse medication-related studies using data from EHR databases. Especially, the package includes modules to perform pharmacokinetic/pharmacodynamic (PK/PD) analyses using EHRs, as outlined in Choi, Beck, McNeer, Weeks, Williams, James, Niu, Abou-Khalil, Birdwell, Roden, Stein, Bejan, Denny, and Van Driest (2020) <doi:10.1002/cpt.1787>. Additional modules will be added in future. In addition, this package provides various functions useful to perform Phenome Wide Association Study (PheWAS) to explore associations between drug exposure and phenotypes obtained from EHR data, as outlined in Choi, Carroll, Beck, Mosley, Roden, Denny, and Van Driest (2018) <doi:10.1093/bioinformatics/bty306>.
Author: Leena Choi [aut, cre] (<https://orcid.org/0000-0002-2544-7090>), Cole Beck [aut] (<https://orcid.org/0000-0002-6849-6255>), Hannah Weeks [aut] (<https://orcid.org/0000-0002-0262-6790>), Elizabeth McNeer [aut], Nathan James [aut] (<https://orcid.org/0000-0001-7079-9151>), Michael Williams [aut]
Maintainer: Leena Choi <naturechoi@gmail.com>

Diff between EHR versions 0.4-0 dated 2021-06-05 and 0.4-1 dated 2021-06-09

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New package zipsae with initial version 1.0.1
Package: zipsae
Title: Small Area Estimation with Zero-Inflated Model
Version: 1.0.1
Authors@R: c(person(given = "Fadheel Wisnu", family = "Utomo", role = c("aut", "trl","cre"), email = "221709671@stis.ac.id"), person(given = "Ika Yuni", family = "Wulansari", role = c("aut","ths"), email = "ikayuni@stis.ac.id" ) )
Description: This function produces empirical best linier unbiased predictions (EBLUPs) for Zero-Inflated data and its Relative Standard Error. Small Area Estimation with Zero-Inflated Model (SAE-ZIP) is a model developed for Zero-Inflated data that can lead us to overdispersion situation. To handle this kind of situation, this model is created. The model in this package is based on Small Area Estimation with Zero-Inflated Poisson model proposed by Dian Christien Arisona (2018)<https://repository.ipb.ac.id/handle/123456789/92308>. For the data sample itself, we use combination method between Roberto Benavent and Domingo Morales (2015)<doi:10.1016/j.csda.2015.07.013> and Sabine Krieg, Harm Jan Boonstra and Marc Smeets (2016)<doi:10.1515/jos-2016-0051>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: stats
Depends: R (>= 2.10)
URL: https://github.com/dheel/zipsae
BugReports: https://github.com/dheel/zipsae/issues
NeedsCompilation: no
Packaged: 2021-06-08 08:57:17 UTC; User
Author: Fadheel Wisnu Utomo [aut, trl, cre], Ika Yuni Wulansari [aut, ths]
Maintainer: Fadheel Wisnu Utomo <221709671@stis.ac.id>
Repository: CRAN
Date/Publication: 2021-06-09 06:50:02 UTC

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New package recodeflow with initial version 0.1.0
Package: recodeflow
Title: Interface Functions for PMML Creation, and Data Recoding
Version: 0.1.0
Authors@R: c( person(given = "Yulric", family = "Sequeira", role = c("aut"), email = "ysequeira@ohri.ca"), person(given = "Luke",family = "Bailey", email = "lbailey@toh.ca", role = c("aut")), person(given = "Rostyslav", family = "Vyuha", role = c("aut","cre"), email = "rvyuha@toh.ca"), person(given = "The Ottawa Hospital", role = c("cph"), email = "dmanuel@ohri.ca"), person(given = "Doug", family = "Manuel", role = c("cph"), email = "dmanuel@ohri.ca", comment = c(ORCID = "0000-0003-0912-0845")))
Maintainer: Rostyslav Vyuha <rvyuha@toh.ca>
Description: Contains functions to interface with variables and variable details sheets, including recoding variables and converting them to PMML.
Depends: R (>= 3.1.0)
Imports: XML (>= 3.98-1.11), sjlabelled, stringr, tidyr, haven, dplyr, magrittr
License: MIT + file LICENSE
URL: https://github.com/Big-Life-Lab/recodeflow
BugReports: https://github.com/Big-Life-Lab/recodeflow/issues
Encoding: UTF-8
Suggests: testthat (>= 2.1.0), survival
NeedsCompilation: no
Packaged: 2021-06-08 12:36:36 UTC; Rusty
Author: Yulric Sequeira [aut], Luke Bailey [aut], Rostyslav Vyuha [aut, cre], The Ottawa Hospital [cph], Doug Manuel [cph] (<https://orcid.org/0000-0003-0912-0845>)
Repository: CRAN
Date/Publication: 2021-06-09 07:00:02 UTC

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New package epocakir with initial version 0.9.7
Package: epocakir
Title: Clinical Coding of Patients with Kidney Disease
Version: 0.9.7
Authors@R: c(person(given = "Alwin", family = "Wang", role = c("aut", "cre"), email = "alwin.wang@austin.org.au", comment = c(ORCID = "0000-0003-4883-2917")), person(given = "Lisa", family = "Toh", role = "aut", email = "lisa.toh2@austin.org.au", comment = c(ORCID = "0000-0002-5994-3666")))
Description: Clinical coding and diagnosis of patients with kidney using clinical practice guidelines. The guidelines used are the evidence-based KDIGO guidelines, see <https://kdigo.org/guidelines/> for more information. This package covers acute kidney injury (AKI), anemia, and chronic liver disease (CKD).
License: MIT + file LICENSE
URL: https://github.com/alwinw/epocakir
BugReports: https://github.com/alwinw/epocakir/issues
Depends: R (>= 3.5.0)
Imports: dplyr (>= 1.0.1), tidyr (>= 1.1.1), tidyselect (>= 1.1.0), tibble (>= 3.0.1), vctrs, ellipsis, rlang (>= 0.4.0), units (>= 0.7), lubridate, magrittr
Suggests: usethis, testthat, covr, knitr, rmarkdown
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2021-06-08 13:47:46 UTC; Alwin
Author: Alwin Wang [aut, cre] (<https://orcid.org/0000-0003-4883-2917>), Lisa Toh [aut] (<https://orcid.org/0000-0002-5994-3666>)
Maintainer: Alwin Wang <alwin.wang@austin.org.au>
Repository: CRAN
Date/Publication: 2021-06-09 07:00:05 UTC

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Package unival (with last version 1.0.2) was removed from CRAN

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

2019-04-08 1.0.2
2019-03-06 1.0.1

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Package optimsimplex (with last version 1.0-7) was removed from CRAN

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

2018-02-13 1.0-7
2017-07-28 1.0-6
2014-02-02 1.0-5
2011-03-31 1.0-4
2011-03-17 1.0-3
2010-05-12 1.0-2
2010-05-05 1.0
2010-05-05 1.0-1

Permanent link
Package vampyr (with last version 1.0.6) was removed from CRAN

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

2020-02-03 1.0.6
2020-01-20 1.0.5

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Package optimbase (with last version 1.0-9) was removed from CRAN

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

2014-03-02 1.0-9
2014-02-02 1.0-8
2011-03-31 1.0-7
2011-03-17 1.0-6
2011-01-16 1.0-5
2010-09-16 1.0-4
2010-05-26 1.0-3
2010-05-12 1.0-2
2010-05-05 1.0
2010-05-05 1.0-1

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Package neldermead (with last version 1.0-11) was removed from CRAN

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

2018-02-13 1.0-11
2015-01-11 1.0-10
2014-03-02 1.0-9
2014-02-04 1.0-8
2012-01-04 1.0-7
2011-03-31 1.0-6
2011-01-16 1.0-5
2010-09-17 1.0-4
2010-05-26 1.0-3
2010-05-12 1.0-2
2010-05-05 1.0
2010-05-05 1.0-1

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

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2016-07-21 1.1
2016-04-13 1.0

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Package EFA.MRFA (with last version 1.0.9) was removed from CRAN

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2020-04-17 1.0.9
2020-01-09 1.0.7
2019-12-04 1.0.6
2019-06-14 1.0.5

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Package InDisc (with last version 1.0.4) was removed from CRAN

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2021-06-01 1.0.4
2020-11-11 1.0.3
2019-10-31 1.0.2

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Package admixturegraph (with last version 1.0.2) was removed from CRAN

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2016-12-13 1.0.2
2016-08-16 1.0.1
2016-06-13 1.0.0

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

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2013-06-11 0.1

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

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2013-03-19 1.0.1
2012-03-28 1.0

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Package source.gist (with last version 1.0.0) was removed from CRAN

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2012-12-04 1.0.0

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

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2013-12-11 0.1

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Package OriGen (with last version 1.4.3) was removed from CRAN

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2016-01-16 1.4.3
2015-09-09 1.3.1
2015-08-28 1.3

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Package RFinanceYJ (with last version 0.3.1) was removed from CRAN

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2013-08-13 0.3.1

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

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2013-10-09 1.0

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

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2013-09-21 1.0

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

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2006-05-24 0.1

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Package seqinr updated to version 4.2-8 with previous version 4.2-5 dated 2020-12-17

Title: Biological Sequences Retrieval and Analysis
Description: Exploratory data analysis and data visualization for biological sequence (DNA and protein) data. Seqinr includes utilities for sequence data management under the ACNUC system described in Gouy, M. et al. (1984) Nucleic Acids Res. 12:121-127 <doi:10.1093/nar/12.1Part1.121>.
Author: Delphine Charif [aut], Olivier Clerc [ctb], Carolin Frank [ctb], Jean R. Lobry [aut, cph], Anamaria Necşulea [ctb], Leonor Palmeira [ctb], Simon Penel [cre], Guy Perrière [ctb]
Maintainer: Simon Penel <simon.penel@univ-lyon1.fr>

Diff between seqinr versions 4.2-5 dated 2020-12-17 and 4.2-8 dated 2021-06-09

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Package lares updated to version 5.0.1 with previous version 5.0.0 dated 2021-06-03

Title: Analytics, Data Mining & Machine Learning Sidekick
Description: Auxiliary package for better/faster analytics, visualization, data mining, and machine learning tasks. With a wide variety of family functions, like Machine Learning, Data Wrangling, Exploratory, and Scrapper, it helps the analyst or data scientist to get quick and robust results, without the need of repetitive coding or extensive programming skills.
Author: Bernardo Lares [aut, cre]
Maintainer: Bernardo Lares <laresbernardo@gmail.com>

Diff between lares versions 5.0.0 dated 2021-06-03 and 5.0.1 dated 2021-06-09

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Package cgmanalysis updated to version 2.7.2 with previous version 2.7.1 dated 2021-02-15

Title: Clean and Analyze Continuous Glucose Monitor Data
Description: This code provides several different functions for cleaning and analyzing continuous glucose monitor data. Currently it works with 'Dexcom', 'iPro 2', 'Diasend', 'Libre', or 'Carelink' data. The cleandata() function takes a directory of CGM data files and prepares them for analysis. cgmvariables() iterates through a directory of cleaned CGM data files and produces a single spreadsheet with data for each file in either rows or columns. The column format of this spreadsheet is compatible with REDCap data upload. cgmreport() also iterates through a directory of cleaned data, and produces PDFs of individual and aggregate AGP plots. Please visit <https://github.com/childhealthbiostatscore/R-Packages/> to download the new-user guide.
Author: Tim Vigers [aut, cre]
Maintainer: Tim Vigers <timvigers@mailbox.org>

Diff between cgmanalysis versions 2.7.1 dated 2021-02-15 and 2.7.2 dated 2021-06-09

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 3 files changed, 15 insertions(+), 11 deletions(-)

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