Tue, 29 Sep 2020

Package sleepwalk updated to version 0.3.1 with previous version 0.3.0 dated 2020-02-26

Title: Interactively Explore Dimension-Reduced Embeddings
Description: A tool to interactively explore the embeddings created by dimension reduction methods such as Principal Components Analysis (PCA), Multidimensional Scaling (MDS), T-distributed Stochastic Neighbour Embedding (t-SNE), Uniform Manifold Approximation and Projection (UMAP) or any other.
Author: Svetlana Ovchinnikova [aut, cre], Simon Anders [aut]
Maintainer: Svetlana Ovchinnikova <s.ovchinnikova@zmbh.uni-heidelberg.de>

Diff between sleepwalk versions 0.3.0 dated 2020-02-26 and 0.3.1 dated 2020-09-29

 DESCRIPTION   |   10 +++++-----
 MD5           |    6 +++---
 NEWS.md       |    4 ++++
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 4 files changed, 14 insertions(+), 10 deletions(-)

More information about sleepwalk at CRAN
Permanent link

Package gtsummary updated to version 1.3.5 with previous version 1.3.4 dated 2020-08-27

Title: Presentation-Ready Data Summary and Analytic Result Tables
Description: Creates presentation-ready tables summarizing data sets, regression models, and more. The code to create the tables is concise and highly customizable. Data frames can be summarized with any function, e.g. mean(), median(), even user-written functions. Regression models are summarized and include the reference rows for categorical variables. Common regression models, such as logistic regression and Cox proportional hazards regression, are automatically identified and the tables are pre-filled with appropriate column headers.
Author: Daniel D. Sjoberg [aut, cre] (<https://orcid.org/0000-0003-0862-2018>), Michael Curry [aut] (<https://orcid.org/0000-0002-0261-4044>), Margie Hannum [aut] (<https://orcid.org/0000-0002-2953-0449>), Karissa Whiting [aut] (<https://orcid.org/0000-0002-4683-1868>), Emily C. Zabor [aut] (<https://orcid.org/0000-0002-1402-4498>), Esther Drill [ctb] (<https://orcid.org/0000-0002-3315-4538>), Jessica Flynn [ctb] (<https://orcid.org/0000-0001-8310-6684>), Joseph Larmarange [ctb] (<https://orcid.org/0000-0001-7097-700X>), Stephanie Lobaugh [ctb], Gustavo Zapata Wainberg [ctb] (<https://orcid.org/0000-0002-2524-3637>)
Maintainer: Daniel D. Sjoberg <danield.sjoberg@gmail.com>

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More information about gtsummary at CRAN
Permanent link

Package FRESA.CAD updated to version 3.3.0 with previous version 3.1.0 dated 2018-11-27

Title: Feature Selection Algorithms for Computer Aided Diagnosis
Description: Contains a set of utilities for building and testing statistical models (linear, logistic,ordinal or COX) for Computer Aided Diagnosis/Prognosis applications. Utilities include data adjustment, univariate analysis, model building, model-validation, longitudinal analysis, reporting and visualization.
Author: Jose Gerardo Tamez-Pena, Antonio Martinez-Torteya, Israel Alanis and Jorge Orozco
Maintainer: Jose Gerardo Tamez-Pena <jose.tamezpena@tec.mx>

Diff between FRESA.CAD versions 3.1.0 dated 2018-11-27 and 3.3.0 dated 2020-09-29

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Package textshaping updated to version 0.1.1 with previous version 0.1.0 dated 2020-09-17

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>

Diff between textshaping versions 0.1.0 dated 2020-09-17 and 0.1.1 dated 2020-09-29

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More information about textshaping at CRAN
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Package metasens updated to version 0.5-0 with previous version 0.4-1 dated 2020-07-02

Title: Advanced Statistical Methods to Model and Adjust for Bias in Meta-Analysis
Description: The following methods are implemented to evaluate how sensitive the results of a meta-analysis are to potential bias in meta-analysis and to support Schwarzer et al. (2015) <DOI:10.1007/978-3-319-21416-0>, Chapter 5 'Small-Study Effects in Meta-Analysis': - Copas selection model described in Copas & Shi (2001) <DOI:10.1177/096228020101000402>; - limit meta-analysis by Rücker et al. (2011) <DOI:10.1093/biostatistics/kxq046>; - upper bound for outcome reporting bias by Copas & Jackson (2004) <DOI:10.1111/j.0006-341X.2004.00161.x>; - imputation methods for missing binary data by Gamble & Hollis (2005) <DOI:10.1016/j.jclinepi.2004.09.013> and Higgins et al. (2008) <DOI:10.1177/1740774508091600>.
Author: Guido Schwarzer [cre, aut] (<https://orcid.org/0000-0001-6214-9087>), James R. Carpenter [aut] (<https://orcid.org/0000-0003-3890-6206>), Gerta Rücker [aut] (<https://orcid.org/0000-0002-2192-2560>)
Maintainer: Guido Schwarzer <sc@imbi.uni-freiburg.de>

Diff between metasens versions 0.4-1 dated 2020-07-02 and 0.5-0 dated 2020-09-29

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Package systemfonts updated to version 0.3.2 with previous version 0.3.1 dated 2020-09-08

Title: System Native Font Finding
Description: Provides system native access to the font catalogue. As font handling varies between systems it is difficult to correctly locate installed fonts across different operating systems. The 'systemfonts' package provides bindings to the native libraries on Windows, macOS and Linux for finding font files that can then be used further by e.g. graphic devices. The main use is intended to be from compiled code but 'systemfonts' also provides access from R.
Author: Thomas Lin Pedersen [aut, cre] (<https://orcid.org/0000-0002-5147-4711>), Jeroen Ooms [aut] (<https://orcid.org/0000-0002-4035-0289>), Devon Govett [aut] (Author of font-manager), RStudio [cph]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@rstudio.com>

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More information about systemfonts at CRAN
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Package sazedR updated to version 2.0.2 with previous version 2.0.1 dated 2019-09-16

Title: Parameter-Free Domain-Agnostic Season Length Detection in Time Series
Description: Spectral and Average Autocorrelation Zero Distance Density ('sazed') is a method for estimating the season length of a seasonal time series. 'sazed' is aimed at practitioners, as it employs only domain-agnostic preprocessing and does not depend on parameter tuning or empirical constants. The computation of 'sazed' relies on the efficient autocorrelation computation methods suggested by Thibauld Nion (2012, URL: <https://etudes.tibonihoo.net/literate_musing/autocorrelations.html>) and by Bob Carpenter (2012, URL: <https://lingpipe-blog.com/2012/06/08/autocorrelation-fft-kiss-eigen/>).
Author: Maximilian Toller [aut], Tiago Santos [aut, cre], Roman Kern [aut]
Maintainer: Tiago Santos <teixeiradossantos@tugraz.at>

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Package Ryacas0 updated to version 0.4.3 with previous version 0.4.2 dated 2019-10-09

Title: Legacy 'Ryacas' (Interface to 'Yacas' Computer Algebra System)
Description: A legacy version of 'Ryacas', an interface to the 'yacas' computer algebra system (<http://www.yacas.org/>).
Author: Mikkel Meyer Andersen [aut, cre, cph], Rob Goedman [aut, cph], Gabor Grothendieck [aut, cph], Søren Højsgaard [aut, cph], Grzegorz Mazur [aut, cph], Ayal Pinkus [aut, cph], Nemanja Trifunovic [cph] (UTF-8 part of yacas (src/yacas/include/yacas/utf8*))
Maintainer: Mikkel Meyer Andersen <mikl@math.aau.dk>

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Package brainGraph updated to version 3.0.0 with previous version 2.7.3 dated 2019-11-07

Title: Graph Theory Analysis of Brain MRI Data
Description: A set of tools for performing graph theory analysis of brain MRI data. It works with data from a Freesurfer analysis (cortical thickness, volumes, local gyrification index, surface area), diffusion tensor tractography data (e.g., from FSL) and resting-state fMRI data (e.g., from DPABI). It contains a graphical user interface for graph visualization and data exploration, along with several functions for generating useful figures.
Author: Christopher G. Watson [aut, cre] (<https://orcid.org/0000-0002-7082-7631>)
Maintainer: Christopher G. Watson <cgwatson@bu.edu>

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Package washdata updated to version 0.1.3 with previous version 0.1.2 dated 2018-01-05

Title: Urban Water and Sanitation Survey Dataset
Description: Urban water and sanitation survey dataset collected by Water and Sanitation for the Urban Poor (WSUP) with technical support from Valid International. These citywide surveys have been collecting data allowing water and sanitation service levels across the entire city to be characterised, while also allowing more detailed data to be collected in areas of the city of particular interest. These surveys are intended to generate useful information for others working in the water and sanitation sector. Current release version includes datasets collected from a survey conducted in Dhaka, Bangladesh in March 2017. This survey in Dhaka is one of a series of surveys to be conducted by WSUP in various cities in which they operate including Accra, Ghana; Nakuru, Kenya; Antananarivo, Madagascar; Maputo, Mozambique; and, Lusaka, Zambia. This package will be updated once the surveys in other cities are completed and datasets have been made available.
Author: Ernest Guevarra [aut, cre], Valid International [cph], Water and Sanitation for the Urban Poor [cph]
Maintainer: Ernest Guevarra <ernestgmd@gmail.com>

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Package OBASpatial updated to version 1.7 with previous version 1.1 dated 2020-04-16

Title: Objective Bayesian Analysis for Spatial Regression Models
Description: It makes an objective Bayesian analysis of the spatial regression model using both the normal (NSR) and student-T (TSR) distributions. The functions provided give prior and posterior objective densities and allow default Bayesian estimation of the model regression parameters. Details can be found in Ordonez et al. (2020) <arXiv:2004.04341>.
Author: Alejandro Ordonez, Marcos O. Prates , Larissa A. Matos, Victor H. Lachos.
Maintainer: Alejandro Ordonez <ordonezjosealejandro@gmail.com>

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Package Tplyr updated to version 0.1.2 with previous version 0.1.1 dated 2020-09-10

Title: A Grammar of Clinical Data Summary
Description: A tool created to simplify the data manipulation necessary to create clinical reports.
Author: Eli Miller [aut] (<https://orcid.org/0000-0002-2127-9456>), Mike Stackhouse [aut, cre] (<https://orcid.org/0000-0001-6030-723X>), Ashley Tarasiewicz [aut], Nathan Kosiba [aut] (<https://orcid.org/0000-0001-5359-4234>), Atorus Research LLC [cph]
Maintainer: Mike Stackhouse <mike.stackhouse@atorusresearch.com>

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Package meta updated to version 4.15-0 with previous version 4.14-0 dated 2020-09-09

Title: General Package for Meta-Analysis
Description: User-friendly general package providing standard methods for meta-analysis and supporting Schwarzer, Carpenter, and Rücker <DOI:10.1007/978-3-319-21416-0>, "Meta-Analysis with R" (2015): - fixed effect and random effects meta-analysis; - several plots (forest, funnel, Galbraith / radial, L'Abbe, Baujat, bubble); - statistical tests and trim-and-fill method to evaluate bias in meta-analysis; - import data from 'RevMan 5'; - prediction interval, Hartung-Knapp method for random effects model; - cumulative meta-analysis and leave-one-out meta-analysis; - meta-regression; - generalised linear mixed models; - produce forest plot summarising several (subgroup) meta-analyses.
Author: Guido Schwarzer [cre, aut] (<https://orcid.org/0000-0001-6214-9087>)
Maintainer: Guido Schwarzer <sc@imbi.uni-freiburg.de>

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Package dragon updated to version 1.0.3 with previous version 1.0.2 dated 2020-08-31

Title: Deep Time Redox Analysis of the Geobiology Ontology Network
Description: Create, visualize, manipulate, and analyze bipartite mineral-chemistry networks for set of focal element(s) across deep-time on Earth. The method is described in Spielman and Moore (2020) <doi:10.3389/feart.2020.585087>.
Author: Stephanie J. Spielman [aut, cre] (<https://orcid.org/0000-0002-9090-4788>)
Maintainer: Stephanie J. Spielman <spielman@rowan.edu>

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Package AhoCorasickTrie updated to version 0.1.2 with previous version 0.1.0 dated 2016-07-29

Title: Fast Searching for Multiple Keywords in Multiple Texts
Description: Aho-Corasick is an optimal algorithm for finding many keywords in a text. It can locate all matches in a text in O(N+M) time; i.e., the time needed scales linearly with the number of keywords (N) and the size of the text (M). Compare this to the naive approach which takes O(N*M) time to loop through each pattern and scan for it in the text. This implementation builds the trie (the generic name of the data structure) and runs the search in a single function call. If you want to search multiple texts with the same trie, the function will take a list or vector of texts and return a list of matches to each text. By default, all 128 ASCII characters are allowed in both the keywords and the text. A more efficient trie is possible if the alphabet size can be reduced. For example, DNA sequences use at most 19 distinct characters and usually only 4; protein sequences use at most 26 distinct characters and usually only 20. UTF-8 (Unicode) matching is not currently supported.
Author: Matt Chambers [aut, cre], Tomas Petricek [aut, cph], Vanderbilt University [cph]
Maintainer: Matt Chambers <matt.chambers42@gmail.com>

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Package mrMLM updated to version 4.0.1 with previous version 4.0 dated 2019-10-22

Title: Multi-Locus Random-SNP-Effect Mixed Linear Model Tools for Genome-Wide Association Study
Description: Conduct multi-locus genome-wide association study under the framework of multi-locus random-SNP-effect mixed linear model (mrMLM). First, each marker on the genome is scanned. Bonferroni correction is replaced by a less stringent selection criterion for significant test. Then, all the markers that are potentially associated with the trait are included in a multi-locus genetic model, their effects are estimated by empirical Bayes and all the nonzero effects were further identified by likelihood ratio test for true QTL. Wen YJ, Zhang H, Ni YL, Huang B, Zhang J, Feng JY, Wang SB, Dunwell JM, Zhang YM, Wu R (2018) <doi:10.1093/bib/bbw145>.
Author: Zhang Ya-Wen, Li Pei, and Zhang Yuan-Ming
Maintainer: Yuanming Zhang<soyzhang@mail.hzau.edu.cn>

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Package anomaly updated to version 4.0.0 with previous version 3.0.2 dated 2020-08-07

Title: Detecting Anomalies in Data
Description: Implements Collective And Point Anomaly (CAPA) <arXiv:1806.01947>, Multi-Variate Collective And Point Anomaly (MVCAPA) <arXiv:1909.01691>, Proportion Adaptive Segment Selection (PASS) <doi:10.1093/biomet/ass059>, and Bayesian Abnormal Region Detector (BARD) <doi:10.1214/16-BA998> methods for the detection of anomalies in time series data. Also includes sequential versions of CAPA and MVCAPA <arXiv:2009.06670>.
Author: Alex Fisch [aut], Daniel Grose [aut, cre], Lawrence Bardwell [ctb], Idris Eckley [ths], Paul Fearnhead [ths]
Maintainer: Daniel Grose <dan.grose@lancaster.ac.uk>

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Package worcs updated to version 0.1.4 with previous version 0.1.3 dated 2020-06-27

Title: Workflow for Open Reproducible Code in Science
Description: Create reproducible and transparent research projects in 'R', with a minimal amount of code. This package is based on the Workflow for Open Reproducible Code in Science (WORCS), a step-by-step procedure based on best practices for Open Science. It includes an 'RStudio' project template, several convenience functions, and all dependencies required to make your project reproducible and transparent. WORCS is explained in the tutorial paper by Van Lissa, Brandmaier, Brinkman, Lamprecht, Struiksma, & Vreede (2020). <doi:10.17605/OSF.IO/ZCVBS>.
Author: Caspar J. van Lissa [aut, cre] (<https://orcid.org/0000-0002-0808-5024>), Aaron Peikert [aut] (<https://orcid.org/0000-0001-7813-818X>), Andreas M. Brandmaier [aut] (<https://orcid.org/0000-0001-8765-6982>)
Maintainer: Caspar J. van Lissa <c.j.vanlissa@uu.nl>

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Package prt updated to version 0.1.2 with previous version 0.1.1 dated 2020-09-02

Title: Tabular Data Backed by Partitioned 'fst' Files
Description: Intended for larger-than-memory tabular data, 'prt' objects provide an interface to read row and/or column subsets into memory as data.table objects. Data queries, constructed as 'R' expressions, are evaluated using the non-standard evaluation framework provided by 'rlang' and file-backing is powered by the fast and efficient 'fst' package.
Author: Nicolas Bennett [aut, cre], Drago Plecko [ctb]
Maintainer: Nicolas Bennett <nicolas.bennett@stat.math.ethz.ch>

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Package tclust updated to version 1.4-2 with previous version 1.4-1 dated 2018-05-24

Title: Robust Trimmed Clustering
Description: Provides functions for robust trimmed clustering. The methods are described in Garcia-Escudero (2008) <doi:10.1214/07-AOS515>, Fritz et al. (2012) <doi:10.18637/jss.v047.i12>, Garcia-Escudero et al. (2011) <doi:10.1007/s11222-010-9194-z> and others.
Author: Agustin Mayo Iscar, Luis Angel Garcia Escudero, Heinrich Fritz
Maintainer: Valentin Todorov <valentin.todorov@chello.at>

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Package lhs updated to version 1.1.0 with previous version 1.0.2 dated 2020-04-13

Title: Latin Hypercube Samples
Description: Provides a number of methods for creating and augmenting Latin Hypercube Samples and Orthogonal Array Latin Hypercube Samples.
Author: Rob Carnell [aut, cre]
Maintainer: Rob Carnell <bertcarnell@gmail.com>

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Package gtfsrouter updated to version 0.0.4 with previous version 0.0.3 dated 2020-08-27

Title: Routing with GTFS (General Transit Feed Specification) Data
Description: Use GTFS (General Transit Feed Specification) data for routing from nominated start and end stations, and for extracting isochrones from nominated start station.
Author: Mark Padgham [aut, cre], Marcin Stepniak [aut] (<https://orcid.org/0000-0002-6489-5443>), Alexandra Kapp [ctb]
Maintainer: Mark Padgham <mark.padgham@email.com>

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Package errorlocate updated to version 0.4 with previous version 0.3.0 dated 2020-02-06

Title: Locate Errors with Validation Rules
Description: Errors in data can be located and removed using validation rules from package 'validate'.
Author: Edwin de Jonge [aut, cre] (<https://orcid.org/0000-0002-6580-4718>), Mark van der Loo [aut]
Maintainer: Edwin de Jonge <edwindjonge@gmail.com>

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Package mrMLM.GUI updated to version 4.0.1 with previous version 4.0 dated 2019-10-22

Title: Multi-Locus Random-SNP-Effect Mixed Linear Model Tools for Genome-Wide Association Study with Graphical User Interface
Description: Conduct multi-locus genome-wide association study under the framework of multi-locus random-SNP-effect mixed linear model (mrMLM). First, each marker on the genome is scanned. Bonferroni correction is replaced by a less stringent selection criterion for significant test. Then, all the markers that are potentially associated with the trait are included in a multi-locus genetic model, their effects are estimated by empirical Bayes and all the nonzero effects were further identified by likelihood ratio test for true QTL. Wen YJ, Zhang H, Ni YL, Huang B, Zhang J, Feng JY, Wang SB, Dunwell JM, Zhang YM, Wu R (2018) <doi:10.1093/bib/bbw145>.
Author: Zhang Ya-Wen, Li Pei, and Zhang Yuan-Ming
Maintainer: Yuanming Zhang<soyzhang@mail.hzau.edu.cn>

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Package readxlsb updated to version 0.1.4 with previous version 0.1.3 dated 2020-04-14

Title: Read 'Excel' Binary (.xlsb) Workbooks
Description: Import data from 'Excel' binary (.xlsb) workbooks into R.
Author: Michael Allen [aut, cre]
Maintainer: Michael Allen <michael@velofrog.com>

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Package xfun updated to version 0.18 with previous version 0.17 dated 2020-09-09

Title: Miscellaneous Functions by 'Yihui Xie'
Description: Miscellaneous functions commonly used in other packages maintained by 'Yihui Xie'.
Author: Yihui Xie [aut, cre, cph] (<https://orcid.org/0000-0003-0645-5666>), Wush Wu [ctb], Daijiang Li [ctb], Xianying Tan [ctb], Salim Brüggemann [ctb] (<https://orcid.org/0000-0002-5329-5987>)
Maintainer: Yihui Xie <xie@yihui.name>

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Package UComp updated to version 2.0 with previous version 1.1 dated 2020-07-01

Title: Automatic Unobserved Components Models
Description: Comprehensive analysis and forecasting of univariate time series using automatic unobserved components models and algorithms. Harvey, AC (1989) <doi:10.1017/CBO9781107049994>. Pedregal, DJ and Young PC (2002) <doi:10.1002/9780470996430>. Durbin J and Koopman SJ (2012) <doi:10.1093/acprof:oso/9780199641178.001.0001>.
Author: Diego J. Pedregal [aut, cre] (<https://orcid.org/0000-0003-4958-0969>)
Maintainer: Diego J. Pedregal <Diego.Pedregal@uclm.es>

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Package timetk updated to version 2.3.0 with previous version 2.2.1 dated 2020-09-01

Title: A Tool Kit for Working with Time Series in R
Description: Easy visualization, wrangling, and feature engineering of time series data for forecasting and machine learning prediction. Methods discussed herein are commonplace in machine learning, and have been cited in various literature. Refer to "Calendar Effects" in papers such as Taieb, Souhaib Ben. "Machine learning strategies for multi-step-ahead time series forecasting." Universit Libre de Bruxelles, Belgium (2014): 75-86. <http://souhaib-bentaieb.com/pdf/2014_phd.pdf>.
Author: Matt Dancho [aut, cre], Davis Vaughan [aut]
Maintainer: Matt Dancho <mdancho@business-science.io>

Diff between timetk versions 2.2.1 dated 2020-09-01 and 2.3.0 dated 2020-09-29

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Package statgenGWAS updated to version 1.0.5 with previous version 1.0.4 dated 2020-03-02

Title: Genome Wide Association Studies
Description: Fast single trait Genome Wide Association Studies (GWAS) following the method described in Kang et al. (2010), <doi:10.1038/ng.548>. One of a series of statistical genetic packages for streamlining the analysis of typical plant breeding experiments developed by Biometris.
Author: Bart-Jan van Rossum [aut, cre], Willem Kruijer [aut] (<https://orcid.org/0000-0001-7179-1733>), Fred van Eeuwijk [ctb] (<https://orcid.org/0000-0003-3672-2921>), Martin Boer [ctb], Marcos Malosetti [ctb] (<https://orcid.org/0000-0002-8150-1397>), Daniela Bustos-Korts [ctb] (<https://orcid.org/0000-0003-3827-6726>), Emilie Millet [ctb] (<https://orcid.org/0000-0002-2913-4892>), Joao Paulo [ctb] (<https://orcid.org/0000-0002-4180-0763>), Maikel Verouden [ctb] (<https://orcid.org/0000-0002-4893-3323>), Ron Wehrens [ctb] (<https://orcid.org/0000-0002-8798-5599>), Choazhi Zheng [ctb] (<https://orcid.org/0000-0001-6030-3933>)
Maintainer: Bart-Jan van Rossum <bart-jan.vanrossum@wur.nl>

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Package sarima updated to version 0.8.4 with previous version 0.8.2 dated 2020-03-02

Title: Simulation and Prediction with Seasonal ARIMA Models
Description: Functions, classes and methods for time series modelling with ARIMA and related models. The aim of the package is to provide consistent interface for the user. For example, a single function autocorrelations() computes various kinds of theoretical and sample autocorrelations. This is work in progress, see the documentation and vignettes for the current functionality. Function sarima() fits extended multiplicative seasonal ARIMA models with trends, exogenous variables and arbitrary roots on the unit circle, which can be fixed or estimated.
Author: Georgi N. Boshnakov [aut, cre], Jamie Halliday [aut]
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>

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New package prettifyAddins with initial version 0.1.0
Package: prettifyAddins
Type: Package
Title: 'RStudio' Addins to Prettify 'HTML', 'CSS', 'JavaScript', and More
Version: 0.1.0
Authors@R: c( person( "Stéphane", "Laurent", role = c("aut", "cre"), email = "laurent_step@outlook.fr" ), person( "James Long and contributors", role = c("ctb", "cph"), comment = "'Prettier' library" ), person( "Zeb", "Zhao", role = c("ctb","cph"), comment = "'indent.js' library" ), person( "Marijn", "Haverbeke", role = c("ctb", "cph"), comment = "'CodeMirror' library" ) )
Description: Provides 'RStudio' addins to prettify 'HTML', 'CSS', 'SCSS', 'JavaScript', 'JSX', 'Markdown', and to format 'C', 'C++', 'Julia', 'Python', 'Shell' and 'SQL'. Two addins are provided: 'Prettify' and 'Indent'. The 'Indent' addin only reindents the code, while the 'Prettify' addin also modifies the code, e.g. it adds trailing semi-colons to 'JavaScript' code when they are missing.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: shiny, shinythemes, shinyAce, miniUI, rstudioapi, tools
URL: https://github.com/stla/prettifyAddins
BugReports: https://github.com/stla/prettifyAddins/issues
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-26 07:32:54 UTC; stla
Author: Stéphane Laurent [aut, cre], James Long and contributors [ctb, cph] ('Prettier' library), Zeb Zhao [ctb, cph] ('indent.js' library), Marijn Haverbeke [ctb, cph] ('CodeMirror' library)
Maintainer: Stéphane Laurent <laurent_step@outlook.fr>
Repository: CRAN
Date/Publication: 2020-09-29 09:20:03 UTC

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Package modelsummary updated to version 0.6.2 with previous version 0.6.1 dated 2020-09-04

Title: Summary Tables and Plots for Statistical Models and Data: Beautiful, Customizable, and Publication-Ready
Description: Create beautiful and customizable tables to summarize several statistical models side-by-side. Draw coefficient plots, multi-level cross-tabs, dataset summaries, balance tables (a.k.a. "Table 1s"), and correlation matrices. This package supports dozens of statistical models, and it can produce tables in HTML, LaTeX, Word, Markdown, PDF, PowerPoint, Excel, RTF, JPG, or PNG. Tables can easily be embedded in 'Rmarkdown' or 'knitr' dynamic documents.
Author: Vincent Arel-Bundock [aut, cre] (<https://orcid.org/0000-0003-2042-7063>)
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>

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Package hesim updated to version 0.4.0 with previous version 0.3.1 dated 2020-06-02

Title: Health-Economic Simulation Modeling and Decision Analysis
Description: A modular and computationally efficient R package for parameterizing, simulating, and analyzing health-economic simulation models. The package supports cohort discrete time state transition models (Briggs et al. 1998) <doi:10.2165/00019053-199813040-00003>, N-state partitioned survival models (Glasziou et al. 1990) <doi:10.1002/sim.4780091106>, and individual-level continuous time state transition models (Siebert et al. 2012) <doi:10.1016/j.jval.2012.06.014>, encompassing both Markov (time-homogeneous and time-inhomogeneous) and semi-Markov processes. Decision uncertainty from a cost-effectiveness analysis is quantified with standard graphical and tabular summaries of a probabilistic sensitivity analysis (Claxton et al. 2005, Barton et al. 2008) <doi:10.1002/hec.985>, <doi:10.1111/j.1524-4733.2008.00358.x>. Use of C++ and data.table make individual-patient simulation, probabilistic sensitivity analysis, and incorporation of patient heterogeneity fast.
Author: Devin Incerti [aut, cre], Jeroen P. Jansen [aut], R Core Team [ctb] (hesim uses some slightly modified C functions from base R)
Maintainer: Devin Incerti <devin.incerti@gmail.com>

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New package covid19br with initial version 0.1.0
Package: covid19br
Type: Package
Title: Brazilian COVID-19 Pandemic Data
Version: 0.1.0
Authors@R: c(person(given = "Fabio", family = "Demarqui", email = "fndemarqui@est.ufmg.br", role = c("aut", "cre")), person(given = "Cristiano", family = "Santos", email = "ccsgaus@ufmg.br", role = "aut"), person(given = "Matheus", family = "Costa", email = "matheus_belo@id.uff.br", role = "ctb"))
Description: Set of functions to import COVID-19 pandemic data into R. The Brazilian COVID-19 data, obtained from the official Brazilian repository at <https://covid.saude.gov.br/>, is available at country, region, state, and city-levels. The package also downloads the world-level COVID-19 data from the John Hopkins University's repository.
URL: https://github.com/fndemarqui/covid19br
BugReports: https://github.com/fndemarqui/covid19br/issues
Encoding: UTF-8
License: GPL (>= 2)
Depends: R (>= 3.5.0)
Imports: data.table, dplyr, httr, lubridate, openxlsx, rlang, R.utils, tidyr
Suggests: testthat, tidyverse
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-26 15:07:25 UTC; fndemarqui
Author: Fabio Demarqui [aut, cre], Cristiano Santos [aut], Matheus Costa [ctb]
Maintainer: Fabio Demarqui <fndemarqui@est.ufmg.br>
Repository: CRAN
Date/Publication: 2020-09-29 09:20:05 UTC

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New package clinmon with initial version 0.2.0
Type: Package
Package: clinmon
Title: Calculation of Hemodynamic Indexes from Clinical Monitoring
Version: 0.2.0
Authors@R: c( person("Markus Harboe", "Olsen", email = "oel@oelfam.com", role = c("cre","aut")), person("Christian", "Riberholt", role = "aut"))
Description: Every research team have their own script for calculation of hemodynamic indexes. This package makes it possible to insert a long-format dataframe, and add both periods of interest (trigger-periods), and delete artifacts with deleter-files. The calculation methods are based on Czosnyka et al. (1996) <doi:10.1161/01.str.27.10.1829>.
License: MIT + file LICENSE
URL: https://github.com/lilleoel/clinmon
BugReports: https://github.com/cosimameyer/overviewR/issues
Depends: R (>= 3.5.0)
Encoding: UTF-8
Language: en-US
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-26 10:57:33 UTC; MOLS0212
Author: Markus Harboe Olsen [cre, aut], Christian Riberholt [aut]
Maintainer: Markus Harboe Olsen <oel@oelfam.com>
Repository: CRAN
Date/Publication: 2020-09-29 09:20:08 UTC

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New package BayesProject with initial version 1.0
Package: BayesProject
Type: Package
Title: Fast Projection Direction for Multivariate Changepoint Detection
Version: 1.0
Date: 2020-09-24
Author: Georg Hahn [aut,cre], Paul Fearnhead [ctb], Idris A. Eckley [ctb]
Maintainer: Georg Hahn <ghahn@hsph.harvard.edu>
Description: Implementations in 'cpp' of the BayesProject algorithm (see G. Hahn, P. Fearnhead, I.A. Eckley (2020) <doi:10.1007/s11222-020-09966-2>) which implements a fast approach to compute a projection direction for multivariate changepoint detection, as well as the sum-cusum and max-cusum methods, and a wild binary segmentation wrapper for all algorithms.
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.13), Rdpack
RdMacros: Rdpack
LinkingTo: Rcpp, RcppEigen
RoxygenNote: 7.1.0
NeedsCompilation: yes
Packaged: 2020-09-27 00:07:29 UTC; acer
Repository: CRAN
Date/Publication: 2020-09-29 09:30:16 UTC

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Package allestimates updated to version 0.1.9 with previous version 0.1.8 dated 2020-07-12

Title: Effect Estimates from All Models
Description: Estimates and plots effect estimates from models with all possible combinations of a list of variables. It can be used for assessing treatment effects in clinical trials or risk factors in bio-medical and epidemiological research. Like Stata command 'confall' (Wang Z (2007) <doi:10.1177/1536867X0700700203> ), 'allestimates' calculates and stores all effect estimates, and plots them against p values or Akaike information criterion (AIC) values. It currently has functions for linear regression: all_lm(), logistic and Poisson regression: all_glm() and all_speedglm(), and Cox proportional hazards regression: all_cox().
Author: Zhiqiang Wang [aut, cre]
Maintainer: Zhiqiang Wang <zhiqiang.wang@menzies.edu.au>

Diff between allestimates versions 0.1.8 dated 2020-07-12 and 0.1.9 dated 2020-09-29

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New package wordpressr with initial version 0.1.1
Package: wordpressr
Type: Package
Title: An API Wrapper for WordPress Site APIs
Version: 0.1.1
Authors@R: c(person("Simit", "Patel", email = "simit@sixjupiter.com", role = c("aut", "cre")), person(given = 'SixJupiter',role = c('cph','fnd')))
URL: https://sixjupiter.com/wordpressr/
BugReports: https://github.com/simitpatel/wordpressr/issues
Description: An API wrapper that helps R developers retrieve data from a WordPress site's API in tidy format, in addition to publishing content on the WordPress site (WordPress API documentation: <https://developer.wordpress.org/rest-api/>).
Imports: httr, tibble, dplyr, tidyr, magrittr, glue, purrr
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Suggests: knitr, rmarkdown, testthat, stringi
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-09-25 21:22:34 UTC; simit.patel
Author: Simit Patel [aut, cre], SixJupiter [cph, fnd]
Maintainer: Simit Patel <simit@sixjupiter.com>
Repository: CRAN
Date/Publication: 2020-09-29 08:50:02 UTC

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New package variability with initial version 0.1.0
Package: variability
Type: Package
Title: Genetic Variability Analysis for Plant Breeding Research
Version: 0.1.0
Authors@R: c(person("Raj", "Popat", email = "popatrajc@gmail.com", role = c("aut", "cre")), person("Rumit", "Patel", email = "rumitpatel01@gmail.com ", role = "aut"),person("Dinesh", "Parmar", email = "djparmar.a@gmail.com", role = "aut"))
Description: Performs analysis of various genetic parameters like genotypic and phenotypic coefficient of variance, heritability, genetic advance, genetic advance as a percentage of mean. The package also has functions for genotypic and phenotypic covariance, correlation and path analysis. Dataset has been added to facilitate example. For more information refer Singh, R.K. and Chaudhary, B.D. (1977, ISBN:81766330709788176633079).
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: stats
RoxygenNote: 7.1.1
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2020-09-25 16:16:38 UTC; Asus
Author: Raj Popat [aut, cre], Rumit Patel [aut], Dinesh Parmar [aut]
Maintainer: Raj Popat <popatrajc@gmail.com>
Repository: CRAN
Date/Publication: 2020-09-29 08:30:02 UTC

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New package Spillover with initial version 0.1
Package: Spillover
Type: Package
Title: Spillover Index Based on VAR Modelling
Version: 0.1
Date: 2020-09-25
Author: Jilber Urbina
Maintainer: Jilber Urbina <jurbina@cipadla.com>
Description: A user-friendly tool for estimating both total and directional volatility spillovers based on Diebold and Yilmaz (2009, 2012). It also provides the user with rolling estimation for total and net indices. User can find both orthogonalized and generalized versions for each kind of measures. See Diebold and Yilmaz (2009, 2012) find them at <doi:10.1111/j.1468-0297.2008.02208.x> and <doi:10.1016/j.ijforecast.2011.02.006>.
License: GPL-2
Depends: R (>= 3.5.0), vars, zoo, fastSOM
Encoding: UTF-8
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-09-25 17:48:29 UTC; jilber
Repository: CRAN
Date/Publication: 2020-09-29 08:40:02 UTC

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New package rMIDAS with initial version 0.1.0
Package: rMIDAS
Title: Multiple Imputation using Denoising Autoencoders
Version: 0.1.0
Authors@R: c( person(given = "Thomas", family = "Robinson", role = c("aut", "cre", "cph"), email = "ts.robinson1994@gmail.com", comment = c(ORCID = "0000-0001-7097-1599")), person(given = "Ranjit", family = "Lall", role = c("aut","cph"), email = "R.Lall@lse.ac.uk", comment = c(ORCID = "0000-0003-1455-3506")), person(given = "Alex", family = "Stenlake", role = c("ctb","cph")) )
Description: A tool that allows users to impute missing data with 'MIDAS', a multiple imputation method using denoising autoencoders as documented in Lall and Robinson (2020) <doi:10.33774/apsa-2020-3tk40-v3>. This method has significant accuracy and efficiency advantages over other multiple imputation strategies, particularly when run on large datasets with many columns or categories. Alongside interfacing with 'Python' to run the core algorithm, this package contains tools to process the data before and after model training, run imputation model diagnostics, generate multiple completed datasets, and estimate multiply-imputed regression models.
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Depends: R (>= 3.6.0), data.table, mltools, reticulate
Imports:
Suggests: testthat
License: Apache License (>= 2.0)
URL: https://github.com/MIDASverse/rMIDAS
BugReports: https://github.com/MIDASverse/rMIDAS/issues
NeedsCompilation: no
Packaged: 2020-09-25 14:28:29 UTC; tsr
Author: Thomas Robinson [aut, cre, cph] (<https://orcid.org/0000-0001-7097-1599>), Ranjit Lall [aut, cph] (<https://orcid.org/0000-0003-1455-3506>), Alex Stenlake [ctb, cph]
Maintainer: Thomas Robinson <ts.robinson1994@gmail.com>
Repository: CRAN
Date/Publication: 2020-09-29 08:10:03 UTC

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New package Qapprox with initial version 0.1.0
Package: Qapprox
Type: Package
Title: Approximation to the Survival Functions of Quadratic Forms of Gaussian Variables
Version: 0.1.0
Author: Hong Zhang
Maintainer: Hong Zhang <hzhang@wpi.edu>
Description: Calculates the right-tail probability of quadratic forms of Gaussian variables using the skewness-kurtosis ratio matching method, modified Liu-Tang-Zhang method and Satterthwaite-Welch method. The technical details can be found in Hong Zhang, Judong Shen and Zheyang Wu (2020) <arXiv:2005.00905>.
License: GPL-2
Imports: stats
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2020-09-25 13:52:02 UTC; consi
Repository: CRAN
Date/Publication: 2020-09-29 08:10:06 UTC

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New package N2R with initial version 0.1.0
Package: N2R
Type: Package
Title: Fast and Scalable Approximate k-Nearest Neighbor Search Methods using 'N2' Library
Version: 0.1.0
Date: 2020-09-21
Authors@R: c(person("Peter", "Kharchenko", email = "Peter_Kharchenko@hms.harvard.edu", role = c("aut")), person("Viktor", "Petukhov", email = "viktor.s.petukhov@ya.ru", role = c("aut")), person("Dirk", "Eddelbuettel", email="edd@debian.org", role=c("ctb")), person("Evan", "Biederstedt", email = "evan.biederstedt@gmail.com", role=c("cre", "aut")))
Description: Implements methods to perform fast approximate K-nearest neighbor search on input matrix. Algorithm based on the 'N2' implementation of an approximate nearest neighbor search using hierarchical Navigable Small World (NSW) graphs. The original algorithm is described in "Efficient and Robust Approximate Nearest Neighbor Search Using Hierarchical Navigable Small World Graphs", Y. Malkov and D. Yashunin, <doi:10.1109/TPAMI.2018.2889473>, <arXiv:1603.09320>.
License: Apache License 2.0
Copyright: See the file COPYRIGHTS for various Eigen copyright details
Encoding: UTF-8
Depends: Matrix
Imports: Rcpp (>= 1.0.4)
Suggests: testthat
LinkingTo: Rcpp, RcppSpdlog, RcppEigen
SystemRequirements: GNU make
RoxygenNote: 7.1.1
URL: https://github.com/kharchenkolab/N2R
BugReports: https://github.com/kharchenkolab/N2R/issues
NeedsCompilation: yes
Author: Peter Kharchenko [aut], Viktor Petukhov [aut], Dirk Eddelbuettel [ctb], Evan Biederstedt [cre, aut]
Maintainer: Evan Biederstedt <evan.biederstedt@gmail.com>
Packaged: 2020-09-25 17:44:03 UTC; evanbiederstedt
Repository: CRAN
Date/Publication: 2020-09-29 08:40:05 UTC

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New package mapchina with initial version 0.1.0
Package: mapchina
Type: Package
Title: China Administrative Divisions Geospatial Shapefile Data
Version: 0.1.0
Authors@R: c( person("Mingchu", "Xu", email = "mxu.china@gmail.com", role = c("aut", "cre")) )
Description: Geospatial shapefile data of China administrative divisions to the county/district-level.
Depends: R (>= 3.6)
License: GPL-3
LazyData: TRUE
Imports: sf
Suggests: dplyr, ggplot2, RColorBrewer, showtext
Collate: "data.R" "globals.R" "helpers.R"
URL: https://github.com/xmc811/mapchina
BugReports: https://github.com/xmc811/mapchina/issues
RoxygenNote: 7.1.1
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2020-09-25 20:25:34 UTC; mingchuxu
Author: Mingchu Xu [aut, cre]
Maintainer: Mingchu Xu <mxu.china@gmail.com>
Repository: CRAN
Date/Publication: 2020-09-29 08:50:05 UTC

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New package GxEScanR with initial version 2.0.1
Package: GxEScanR
Type: Package
Title: Run GWAS/GWEIS Scans Using Binary Dosage Files
Version: 2.0.1
Date: 2020-09-16
Authors@R: c(person(given = "John", family = "Morrison", role = c("aut", "cre"), email = "jmorr@usc.edu"), person(given = "NCI", role = "fnd", comment = "CA196559"), person(given = "NCI", role = "fnd", comment = "CA201407"), person(given = "NIEHS", role = "fnd", comment = "ES007048"), person(given = "NHLBI", role = "fnd", comment = "HL115606"))
Description: Tools to run genome-wide association study (GWAS) and genome-wide by environment interaction study (GWEIS) scans using the genetic data stored in a binary dosage file. The user provides a data frame with the subject's covariate data and the information about the binary dosage file returned by the BinaryDosage::getbdinfo() routine.
License: GPL-3
Encoding: UTF-8
Language: en-US
Imports: Rcpp (>= 1.0.4), prodlim
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 7.1.1
Suggests: BinaryDosage, testthat (>= 2.1.0), covr, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2020-09-25 19:50:50 UTC; jbike_000
Author: John Morrison [aut, cre], NCI [fnd] (CA196559), NCI [fnd] (CA201407), NIEHS [fnd] (ES007048), NHLBI [fnd] (HL115606)
Maintainer: John Morrison <jmorr@usc.edu>
Repository: CRAN
Date/Publication: 2020-09-29 08:50:11 UTC

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Package fastpos updated to version 0.4.1 with previous version 0.4.0 dated 2020-08-10

Title: Finds the Critical Sequential Point of Stability for a Pearson Correlation
Description: Finds the critical sample size ("critical point of stability") for a correlation to stabilize in Schoenbrodt and Perugini's definition of sequential stability (see <doi:10.1016/j.jrp.2013.05.009>).
Author: Johannes Titz [aut, cre, cph]
Maintainer: Johannes Titz <johannes.titz@gmail.com>

Diff between fastpos versions 0.4.0 dated 2020-08-10 and 0.4.1 dated 2020-09-29

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Package BOIN updated to version 2.7.0 with previous version 2.6.9 dated 2020-09-01

Title: Bayesian Optimal INterval (BOIN) Design for Single-Agent and Drug- Combination Phase I Clinical Trials
Description: The Bayesian optimal interval (BOIN) design is a novel phase I clinical trial design for finding the maximum tolerated dose (MTD). It can be used to design both single-agent and drug-combination trials. The BOIN design is motivated by the top priority and concern of clinicians when testing a new drug, which is to effectively treat patients and minimize the chance of exposing them to subtherapeutic or overly toxic doses. The prominent advantage of the BOIN design is that it achieves simplicity and superior performance at the same time. The BOIN design is algorithm-based and can be implemented in a simple way similar to the traditional 3+3 design. The BOIN design yields an average performance that is comparable to that of the continual reassessment method (CRM, one of the best model-based designs) in terms of selecting the MTD, but has a substantially lower risk of assigning patients to subtherapeutic or overly toxic doses. For tutorial, please check Yan et al. (2020) <doi:10.18637/jss.v094.i13>.
Author: Ying Yuan and Suyu Liu
Maintainer: Ying Yuan <yyuan@mdanderson.org>

Diff between BOIN versions 2.6.9 dated 2020-09-01 and 2.7.0 dated 2020-09-29

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Package HDoutliers updated to version 1.0.3 with previous version 1.0.2 dated 2020-07-10

Title: Leland Wilkinson's Algorithm for Detecting Multidimensional Outliers
Description: An implementation of an algorithm for outlier detection that can handle a) data with a mixed categorical and continuous variables, b) many columns of data, c) many rows of data, d) outliers that mask other outliers, and e) both unidimensional and multidimensional datasets. Unlike ad hoc methods found in many machine learning papers, HDoutliers is based on a distributional model that uses probabilities to determine outliers.
Author: Chris Fraley [aut, cre], Leland Wilkinson [ctb]
Maintainer: Chris Fraley <cfraley@tableau.com>

Diff between HDoutliers versions 1.0.2 dated 2020-07-10 and 1.0.3 dated 2020-09-29

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New package flexiblas with initial version 3.0.0
Package: flexiblas
Type: Package
Title: 'FlexiBLAS' API Interface
Version: 3.0.0
Authors@R: c( person("Iñaki", "Ucar", email="iucar@fedoraproject.org", role=c("aut", "cph", "cre"), comment=c(ORCID="0000-0001-6403-5550")), person("Martin", "Koehler", email="koehlerm@mpi-magdeburg.mpg.de", role=c("aut", "cph"), comment=c(ORCID="0000-0003-2338-9904")))
Description: Provides functions to switch the 'BLAS'/'LAPACK' optimized backend and change the number of threads without leaving the R session, which needs to be linked against the 'FlexiBLAS' wrapper library <https://www.mpi-magdeburg.mpg.de/projects/flexiblas>.
License: GPL (>= 3)
Encoding: UTF-8
OS_type: unix
URL: https://github.com/Enchufa2/r-flexiblas
BugReports: https://github.com/Enchufa2/r-flexiblas/issues
Suggests: tinytest
RoxygenNote: 7.1.1
NeedsCompilation: yes
Packaged: 2020-09-25 08:56:00 UTC; iucar
Author: Iñaki Ucar [aut, cph, cre] (<https://orcid.org/0000-0001-6403-5550>), Martin Koehler [aut, cph] (<https://orcid.org/0000-0003-2338-9904>)
Maintainer: Iñaki Ucar <iucar@fedoraproject.org>
Repository: CRAN
Date/Publication: 2020-09-29 08:00:03 UTC

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Package car updated to version 3.0-10 with previous version 3.0-9 dated 2020-08-11

Title: Companion to Applied Regression
Description: Functions to Accompany J. Fox and S. Weisberg, An R Companion to Applied Regression, Third Edition, Sage, 2019.
Author: John Fox [aut, cre], Sanford Weisberg [aut], Brad Price [aut], Daniel Adler [ctb], Douglas Bates [ctb], Gabriel Baud-Bovy [ctb], Ben Bolker [ctb], Steve Ellison [ctb], David Firth [ctb], Michael Friendly [ctb], Gregor Gorjanc [ctb], Spencer Graves [ctb], Richard Heiberger [ctb], Pavel Krivitsky [ctb], Rafael Laboissiere [ctb], Martin Maechler [ctb], Georges Monette [ctb], Duncan Murdoch [ctb], Henric Nilsson [ctb], Derek Ogle [ctb], Brian Ripley [ctb], William Venables [ctb], Steve Walker [ctb], David Winsemius [ctb], Achim Zeileis [ctb], R-Core [ctb]
Maintainer: John Fox <jfox@mcmaster.ca>

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Package tidyvpc updated to version 1.1.0 with previous version 1.0.0 dated 2020-03-26

Title: VPC Percentiles and Prediction Intervals
Description: Perform a Visual Predictive Check (VPC), while accounting for stratification, censoring, and prediction correction. Using piping from 'magrittr', the intuitive syntax gives users a flexible and powerful method to generate VPCs using both traditional binning and a new binless approach Jamsen et al. (2018) <doi:10.1002/psp4.12319> with Additive Quantile Regression (AQR) and Locally Estimated Scatterplot Smoothing (LOESS) prediction correction.
Author: Olivier Barriere [aut], Benjamin Rich [aut], James Craig [aut, cre], Samer Mouksassi [aut], Kris Jamsen [ctb]
Maintainer: James Craig <jameswbcraig@gmail.com>

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Package polished updated to version 0.2.0 with previous version 0.1.0 dated 2020-07-01

Title: Authentication and Administration for 'shiny' Apps
Description: Easily add modern authentication and user administration to your 'shiny' apps. Customize user sign in and registration pages to match your brand. Control who can access one or more of your 'shiny' apps.
Author: Andy Merlino [aut, cre], Patrick Howard [aut]
Maintainer: Andy Merlino <andy.merlino@tychobra.com>

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Package MSEtool updated to version 2.0.1 with previous version 2.0.0 dated 2020-08-06

Title: Management Strategy Evaluation Toolkit
Description: Simulation tools for management strategy evaluation are provided for the 'DLMtool' operating model to inform data-rich fisheries. 'MSEtool' provides complementary assessment models of varying complexity with standardized reporting, diagnostic tools for evaluating assessment models within closed-loop simulation, and helper functions for building more complex operating models and model-based management procedures.
Author: Quang Huynh [aut], Tom Carruthers [aut, cre], Adrian Hordyk [aut], Chris Grandin [ctb] (iSCAM functions)
Maintainer: Tom Carruthers <t.carruthers@oceans.ubc.ca>

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 man/simmov.Rd                    |  140 ++++-----
 man/summary.Assessment.Rd        |   44 +--
 man/tinyErr.Rd                   |   58 ++--
 vignettes/MSEtool.Rmd            |    6 
 vignettes/SRA_scope.Rmd          |    2 
 vignettes/multiMSE.Rmd           |    4 
 85 files changed, 3099 insertions(+), 3430 deletions(-)

More information about MSEtool at CRAN
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Package cgam updated to version 1.16 with previous version 1.15 dated 2019-10-13

Title: Constrained Generalized Additive Model
Description: A constrained generalized additive model is fitted by the cgam routine. Given a set of predictors, each of which may have a shape or order restrictions, the maximum likelihood estimator for the constrained generalized additive model is found using an iteratively re-weighted cone projection algorithm. The ShapeSelect routine chooses a subset of predictor variables and describes the component relationships with the response. For each predictor, the user needs only specify a set of possible shape or order restrictions. A model selection method chooses the shapes and orderings of the relationships as well as the variables. The cone information criterion (CIC) is used to select the best combination of variables and shapes. A genetic algorithm may be used when the set of possible models is large. In addition, the cgam routine implements a two-dimensional isotonic regression using warped-plane splines without additivity assumptions. It can also fit a convex or concave regression surface with triangle splines without additivity assumptions. See Liao X, Meyer MC (2019)<doi: 10.18637/jss.v089.i05> for more details.
Author: Mary C. Meyer and Xiyue Liao
Maintainer: Xiyue Liao <liaoxiyue2011@gmail.com>

Diff between cgam versions 1.15 dated 2019-10-13 and 1.16 dated 2020-09-29

 DESCRIPTION        |    9 
 MD5                |   18 
 NAMESPACE          |    2 
 R/cgam.R           | 2575 +++++++++++++++++++++++++++++++----------------------
 man/cgam.Rd        |   16 
 man/plotpersp.Rd   |    2 
 man/s.decr.decr.Rd |    4 
 man/s.decr.incr.Rd |    2 
 man/s.incr.decr.Rd |    2 
 man/s.incr.incr.Rd |    2 
 10 files changed, 1559 insertions(+), 1073 deletions(-)

More information about cgam at CRAN
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Package vkR updated to version 0.2 with previous version 0.1 dated 2016-12-02

Title: Access to VK API via R
Description: Provides an interface to the VK API <https://vk.com/dev/methods>. VK <https://vk.com/> is the largest European online social networking service, based in Russia.
Author: Dmitriy Sorokin [aut, cre], Anton Antonov [ctb]
Maintainer: Dmitriy Sorokin <dementiy@yandex.ru>

Diff between vkR versions 0.1 dated 2016-12-02 and 0.2 dated 2020-09-29

 vkR-0.1/vkR/man/getNetwork.Rd                |only
 vkR-0.2/vkR/DESCRIPTION                      |   22 +-
 vkR-0.2/vkR/MD5                              |  203 ++++++++++++++++-----------
 vkR-0.2/vkR/NAMESPACE                        |   33 ++++
 vkR-0.2/vkR/R/auth.R                         |   12 -
 vkR-0.2/vkR/R/board.R                        |only
 vkR-0.2/vkR/R/friends.R                      |   85 ++++++++++-
 vkR-0.2/vkR/R/groups.R                       |  160 +++++++++++++++++----
 vkR-0.2/vkR/R/likes.R                        |    5 
 vkR-0.2/vkR/R/messages.R                     |   55 +++++++
 vkR-0.2/vkR/R/mongo_connection.R             |only
 vkR-0.2/vkR/R/network.R                      |    6 
 vkR-0.2/vkR/R/newsfeed.R                     |only
 vkR-0.2/vkR/R/queries.R                      |  175 +++++++++++++++--------
 vkR-0.2/vkR/R/users.R                        |  114 +++++++++++++--
 vkR-0.2/vkR/R/utils.R                        |   14 +
 vkR-0.2/vkR/R/vkR.R                          |   17 +-
 vkR-0.2/vkR/R/wall.R                         |   28 +++
 vkR-0.2/vkR/README.md                        |   70 +++++++++
 vkR-0.2/vkR/man/age_predict.Rd               |    1 
 vkR-0.2/vkR/man/areFriends.Rd                |    1 
 vkR-0.2/vkR/man/boardGetComments.Rd          |only
 vkR-0.2/vkR/man/boardGetCommentsExecute.Rd   |only
 vkR-0.2/vkR/man/boardGetCommentsList.Rd      |only
 vkR-0.2/vkR/man/clear_text.Rd                |    1 
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 vkR-0.2/vkR/man/create_empty_collection.Rd   |only
 vkR-0.2/vkR/man/databaseGetChairs.Rd         |    9 -
 vkR-0.2/vkR/man/databaseGetCities.Rd         |   12 +
 vkR-0.2/vkR/man/databaseGetCitiesById.Rd     |    1 
 vkR-0.2/vkR/man/databaseGetCountries.Rd      |   10 -
 vkR-0.2/vkR/man/databaseGetCountriesById.Rd  |    1 
 vkR-0.2/vkR/man/databaseGetFaculties.Rd      |    9 -
 vkR-0.2/vkR/man/databaseGetRegions.Rd        |   10 -
 vkR-0.2/vkR/man/databaseGetSchoolClasses.Rd  |    1 
 vkR-0.2/vkR/man/databaseGetSchools.Rd        |   10 -
 vkR-0.2/vkR/man/databaseGetStreetsById.Rd    |    1 
 vkR-0.2/vkR/man/databaseGetUniversities.Rd   |   11 +
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 vkR-0.2/vkR/man/db_drop_collection.Rd        |only
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 vkR-0.2/vkR/man/db_getName.Rd                |only
 vkR-0.2/vkR/man/db_get_collection.Rd         |only
 vkR-0.2/vkR/man/db_get_connection.Rd         |only
 vkR-0.2/vkR/man/db_init.Rd                   |only
 vkR-0.2/vkR/man/db_insert.Rd                 |only
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 vkR-0.2/vkR/man/db_metaConnection.Rd         |only
 vkR-0.2/vkR/man/db_save.Rd                   |only
 vkR-0.2/vkR/man/db_update.Rd                 |only
 vkR-0.2/vkR/man/execute.Rd                   |    1 
 vkR-0.2/vkR/man/filterAttachments.Rd         |    1 
 vkR-0.2/vkR/man/getAccessToken.Rd            |    1 
 vkR-0.2/vkR/man/getArbitraryNetwork.Rd       |    1 
 vkR-0.2/vkR/man/getCountryByCityId.Rd        |    1 
 vkR-0.2/vkR/man/getEgoNetwork.Rd             |only
 vkR-0.2/vkR/man/getFriends.Rd                |   15 +
 vkR-0.2/vkR/man/getFriendsBy25.Rd            |    1 
 vkR-0.2/vkR/man/getFriendsFor.Rd             |    1 
 vkR-0.2/vkR/man/getGroups.Rd                 |   12 +
 vkR-0.2/vkR/man/getGroupsById.Rd             |only
 vkR-0.2/vkR/man/getGroupsForUsers.Rd         |   11 +
 vkR-0.2/vkR/man/getGroupsMembers.Rd          |   12 +
 vkR-0.2/vkR/man/getGroupsMembersExecute.Rd   |   19 +-
 vkR-0.2/vkR/man/getMutual.Rd                 |   14 +
 vkR-0.2/vkR/man/getMutualExecute.Rd          |only
 vkR-0.2/vkR/man/getPaths.Rd                  |    1 
 vkR-0.2/vkR/man/getStatus.Rd                 |    9 -
 vkR-0.2/vkR/man/getTopics.Rd                 |only
 vkR-0.2/vkR/man/getTopicsExecute.Rd          |only
 vkR-0.2/vkR/man/getURLs.Rd                   |    1 
 vkR-0.2/vkR/man/getUsers.Rd                  |   10 -
 vkR-0.2/vkR/man/getUsersExecute.Rd           |   18 +-
 vkR-0.2/vkR/man/getWall.Rd                   |   13 +
 vkR-0.2/vkR/man/getWallExecute.Rd            |   21 ++
 vkR-0.2/vkR/man/get_stop_words.Rd            |    1 
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 vkR-0.2/vkR/man/handle_captcha.Rd            |only
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 vkR-0.2/vkR/man/has_error.Rd                 |    1 
 vkR-0.2/vkR/man/likesGetList.Rd              |   17 +-
 vkR-0.2/vkR/man/likesGetListForObjects.Rd    |   14 +
 vkR-0.2/vkR/man/me.Rd                        |    1 
 vkR-0.2/vkR/man/messagesGet.Rd               |   14 +
 vkR-0.2/vkR/man/messagesGetHistory.Rd        |   12 +
 vkR-0.2/vkR/man/messagesGetHistoryAll.Rd     |    4 
 vkR-0.2/vkR/man/messagesGetHistoryExecute.Rd |   14 +
 vkR-0.2/vkR/man/messagesSend.Rd              |only
 vkR-0.2/vkR/man/messagesSplitByDate.Rd       |    1 
 vkR-0.2/vkR/man/newsfeedSearch.Rd            |only
 vkR-0.2/vkR/man/or.Rd                        |only
 vkR-0.2/vkR/man/postGetComments.Rd           |   18 +-
 vkR-0.2/vkR/man/profile_fields.Rd            |only
 vkR-0.2/vkR/man/queryBuilder.Rd              |    1 
 vkR-0.2/vkR/man/repeat_last_query.Rd         |    1 
 vkR-0.2/vkR/man/request_delay.Rd             |    1 
 vkR-0.2/vkR/man/saveAsGEXF.Rd                |    1 
 vkR-0.2/vkR/man/search.getHints.Rd           |   10 -
 vkR-0.2/vkR/man/setAPIVersion.Rd             |    1 
 vkR-0.2/vkR/man/setAccessToken.Rd            |    1 
 vkR-0.2/vkR/man/setRepeats.Rd                |only
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 vkR-0.2/vkR/man/tag2Id.Rd                    |    1 
 vkR-0.2/vkR/man/try_handle_error.Rd          |    1 
 vkR-0.2/vkR/man/try_handle_network_error.Rd  |only
 vkR-0.2/vkR/man/use_db.Rd                    |only
 vkR-0.2/vkR/man/usersGetFollowers.Rd         |   15 +
 vkR-0.2/vkR/man/usersGetSubscriptions.Rd     |   14 +
 vkR-0.2/vkR/man/usersSearch.Rd               |   47 ++++--
 vkR-0.2/vkR/man/vkApply.Rd                   |    1 
 vkR-0.2/vkR/man/vkOAuth.Rd                   |    1 
 vkR-0.2/vkR/man/vkOAuthWeb.Rd                |    1 
 vkR-0.2/vkR/man/vkPost.Rd                    |    1 
 vkR-0.2/vkR/man/vkR.Rd                       |    8 -
 vkR-0.2/vkR/man/vk_stop.Rd                   |only
 vkR-0.2/vkR/man/wallGetById.Rd               |   10 -
 vkR-0.2/vkR/man/wallGetComments.Rd           |   16 +-
 vkR-0.2/vkR/man/wallGetCommentsList.Rd       |    1 
 vkR-0.2/vkR/man/wallGetReposts.Rd            |   10 -
 vkR-0.2/vkR/man/wallSearch.Rd                |   15 +
 123 files changed, 1120 insertions(+), 375 deletions(-)

More information about vkR at CRAN
Permanent link

Package shinybrms updated to version 1.4.1 with previous version 1.4.0 dated 2020-09-13

Title: Graphical User Interface ('Shiny' App) for Package 'brms'
Description: A graphical user interface (GUI) for fitting Bayesian regression models using the package 'brms' which in turn relies on 'Stan' (<https://mc-stan.org/>). The 'shinybrms' GUI is a 'Shiny' (<https://shiny.rstudio.com/>) app.
Author: Frank Weber [aut, cre] (<https://orcid.org/0000-0002-4842-7922>), Thomas Park [ctb, cph] ('Bootswatch' theme "United"), Twitter, Inc. [ctb, cph] ('Bootstrap' (basis for the 'Bootswatch' theme "United")), Google, LLC [ctb, cph] ("Open Sans" font)
Maintainer: Frank Weber <fweber144@protonmail.com>

Diff between shinybrms versions 1.4.0 dated 2020-09-13 and 1.4.1 dated 2020-09-29

 DESCRIPTION              |   34 ++++++++++++++++++++++++----------
 MD5                      |    6 +++---
 NEWS.md                  |    8 ++++++++
 inst/shinybrms_app/app.R |    8 ++++----
 4 files changed, 39 insertions(+), 17 deletions(-)

More information about shinybrms at CRAN
Permanent link

Package GiANT updated to version 1.3.1 with previous version 1.3 dated 2020-05-04

Title: Gene Set Uncertainty in Enrichment Analysis
Description: Toolbox for various enrichment analysis methods and quantification of uncertainty of gene sets (Schmid et al. (2016) <doi:10.1093/bioinformatics/btw030>).
Author: Florian Schmid, Christoph Muessel, Johann M. Kraus, Hans A. Kestler
Maintainer: Hans Kestler <hans.kestler@uni-ulm.de>

Diff between GiANT versions 1.3 dated 2020-05-04 and 1.3.1 dated 2020-09-29

 DESCRIPTION                          |   10 ++++----
 MD5                                  |   16 ++++++-------
 R/gls.R                              |   41 ++++++++++++++++++-----------------
 build/vignette.rds                   |binary
 inst/doc/giant_package_vignette.R    |    2 -
 inst/doc/giant_package_vignette.Snw  |    2 -
 inst/doc/giant_package_vignette.pdf  |binary
 man/gls.Rd                           |   10 ++++----
 vignettes/giant_package_vignette.Snw |    2 -
 9 files changed, 43 insertions(+), 40 deletions(-)

More information about GiANT at CRAN
Permanent link


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