Sat, 08 May 2021

Package psychmeta updated to version 2.5.1 with previous version 2.5.0 dated 2021-05-02

Title: Psychometric Meta-Analysis Toolkit
Description: Tools for computing bare-bones and psychometric meta-analyses and for generating psychometric data for use in meta-analysis simulations. Supports bare-bones, individual-correction, and artifact-distribution methods for meta-analyzing correlations and d values. Includes tools for converting effect sizes, computing sporadic artifact corrections, reshaping meta-analytic databases, computing multivariate corrections for range variation, and more. Bugs can be reported to <https://github.com/psychmeta/psychmeta/issues> or <issues@psychmeta.com>.
Author: Jeffrey A. Dahlke [aut, cre], Brenton M. Wiernik [aut], Wesley Gardiner [ctb] (Unit tests), Michael T. Brannick [ctb] (Testing), Jack Kostal [ctb] (Code for reshape_mat2dat function), Sean Potter [ctb] (Testing; Code for cumulative and leave1out plots), John Sakaluk [ctb] (Code for funnel and forest plots), Yuejia (Mandy) Teng [ctb] (Testing)
Maintainer: Jeffrey A. Dahlke <jdahlke@humrro.org>

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Package mlflow updated to version 1.17.0 with previous version 1.16.0 dated 2021-04-27

Title: Interface to 'MLflow'
Description: R interface to 'MLflow', open source platform for the complete machine learning life cycle, see <https://mlflow.org/>. This package supports installing 'MLflow', tracking experiments, creating and running projects, and saving and serving models.
Author: Matei Zaharia [aut, cre], Javier Luraschi [aut], Kevin Kuo [aut] (<https://orcid.org/0000-0001-7803-7901>), RStudio [cph]
Maintainer: Matei Zaharia <matei@databricks.com>

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Package RSCAT updated to version 1.1.1 with previous version 1.1.0 dated 2020-01-17

Title: Shadow-Test Approach to Computerized Adaptive Testing
Description: As an advanced approach to computerized adaptive testing (CAT), shadow testing (van der Linden(2005) <doi:10.1007/0-387-29054-0>) dynamically assembles entire shadow tests as a part of selecting items throughout the testing process. Selecting items from shadow tests guarantees the compliance of all content constraints defined by the blueprint. 'RSCAT' is an R package for the shadow-test approach to CAT. The objective of 'RSCAT' is twofold: 1) Enhancing the effectiveness of shadow-test CAT simulation; 2) Contributing to the academic and scientific community for CAT research.
Author: Bingnan Jiang [aut, cre], ACT, Inc. [cph]
Maintainer: Bingnan Jiang <bnjiangece@gmail.com>

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Package czechrates updated to version 0.2.0 with previous version 0.1.10 dated 2020-08-26

Title: Czech Interest Rates
Description: Interface to interest and foreign exchange rates published by the Czech National Bank.
Author: Jindra Lacko
Maintainer: Jindra Lacko <jindra.lacko@gmail.com>

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Package VulnToolkit updated to version 1.1.3 with previous version 1.1.2 dated 2021-04-16

Title: Analysis of Tidal Datasets
Description: Contains functions for analysis and summary of tidal datasets. Also provides access to tidal data collected by the National Oceanic and Atmospheric Administration's Center for Operational Oceanographic Products and Services and the Permanent Service for Mean Sea Level. For detailed description and application examples, see Hill, T.D. and S.C. Anisfeld (2021) <doi:10.6084/m9.figshare.14161202.v1> and Hill, T.D. and S.C. Anisfeld (2015) <doi:10.1016/j.ecss.2015.06.004>.
Author: Troy Hill [aut, cre] (<https://orcid.org/0000-0003-2980-4099>), Shimon Anisfeld [ctb]
Maintainer: Troy Hill <Hill.Troy@gmail.com>

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Package dendextend updated to version 1.15.1 with previous version 1.14.0 dated 2020-08-26

Title: Extending 'dendrogram' Functionality in R
Description: Offers a set of functions for extending 'dendrogram' objects in R, letting you visualize and compare trees of 'hierarchical clusterings'. You can (1) Adjust a tree's graphical parameters - the color, size, type, etc of its branches, nodes and labels. (2) Visually and statistically compare different 'dendrograms' to one another.
Author: Tal Galili [aut, cre, cph] (https://www.r-statistics.com), Yoav Benjamini [ths], Gavin Simpson [ctb], Gregory Jefferis [aut, ctb] (imported code from his dendroextras package), Marco Gallotta [ctb] (a.k.a: marcog), Johan Renaudie [ctb] (https://github.com/plannapus), The R Core Team [ctb] (Thanks for the Infastructure, and code in the examples), Kurt Hornik [ctb], Uwe Ligges [ctb], Andrej-Nikolai Spiess [ctb], Steve Horvath [ctb], Peter Langfelder [ctb], skullkey [ctb], Mark Van Der Loo [ctb] (https://github.com/markvanderloo d3dendrogram), Andrie de Vries [ctb] (ggdendro author), Zuguang Gu [ctb] (circlize author), Cath [ctb] (https://github.com/CathG), John Ma [ctb] (https://github.com/JohnMCMa), Krzysiek G [ctb] (https://github.com/storaged), Manuela Hummel [ctb] (https://github.com/hummelma), Chase Clark [ctb] (https://github.com/chasemc), Lucas Graybuck [ctb] (https://github.com/hypercompetent), jdetribol [ctb] (https://github.com/jdetribol), Ben Ho [ctb] (https://github.com/SplitInf), Samuel Perreault [ctb] (https://github.com/samperochkin), Christian Hennig [ctb] (http://www.homepages.ucl.ac.uk/~ucakche/), David Bradley [ctb] (https://github.com/DBradley27), Houyun Huang [ctb] (https://github.com/houyunhuang)
Maintainer: Tal Galili <tal.galili@gmail.com>

Diff between dendextend versions 1.14.0 dated 2020-08-26 and 1.15.1 dated 2021-05-08

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Package cansim updated to version 0.3.6 with previous version 0.3.5 dated 2020-03-13

Title: Accessing Statistics Canada Data Table and Vectors
Description: Searches for, accesses, and retrieves new-format and old-format Statistics Canada data tables, as well as individual vectors, as tidy data frames. This package deals with encoding issues, allows for bilingual English or French language data retrieval, and bundles convenience functions to make it easier to work with retrieved table data. Optional caching features are provided.
Author: Jens von Bergmann [cre], Dmitry Shkolnik [aut]
Maintainer: Jens von Bergmann <jens@mountainmath.ca>

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Package installr updated to version 0.23.2 with previous version 0.22.0 dated 2019-08-02

Title: Using R to Install Stuff on Windows OS (Such As: R, 'Rtools', 'RStudio', 'Git', and More!)
Description: R is great for installing software. Through the 'installr' package you can automate the updating of R (on Windows, using updateR()) and install new software. Software installation is initiated through a GUI (just run installr()), or through functions such as: install.Rtools(), install.pandoc(), install.git(), and many more. The updateR() command performs the following: finding the latest R version, downloading it, running the installer, deleting the installation file, copy and updating old packages to the new R installation.
Author: Tal Galili [aut, cre, cph] (http://www.r-statistics.com), Barry Rowlingson [ctb], Boris Hejblum [ctb], Dason [ctb], Felix Schonbrodt [ctb], G. Grothendieck [ctb], GERGELY DAROCZI [ctb], Heuristic Andrew [ctb], James [ctb] (http://stackoverflow.com/users/269476/james), Thomas Leeper [ctb] (http://thomasleeper.com/), VitoshKa [ctb], Yihui Xie [ctb] (http://yihui.name), Michael Friendly [ctb] (http://datavis.ca/), Kornelius Rohmeyer [ctb] (http://algorithm-forge.com/techblog/), Dieter Menne [ctb], Tyler Hunt [ctb] (https://github.com/JackStat), Takekatsu Hiramura [ctb] (https://github.com/hiratake55), Berry Boessenkool [ctb] (https://github.com/BerryBoessenkool), Jonathan Godfrey [ctb] (https://github.com/ajrgodfrey), Tom Allard [ctb], ChingChuan Chen [ctb], Jonathan Hill [ctb], Chan-Yub Park [ctb] (https://github.com/mrchypark), Gerhard Nachtmann [ctb], Russ Hyde [ctb], Lyndon D'Arcy [ctb] (https://github.com/logworthy), Gerhard Burger [ctb] (https://github.com/burgerga), Adrian Hordyk [ctb] (https://github.com/AdrianHordyk)
Maintainer: Tal Galili <tal.galili@gmail.com>

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Package diagonals updated to version 6.0.0 with previous version 5.2.0 dated 2020-04-28

Title: Block Diagonal Extraction or Replacement
Description: Several tools for handling block-matrix diagonals and similar constructs are implemented. Block-diagonal matrices can be extracted or removed using two small functions implemented here. In addition, non-square matrices are supported. Block diagonal matrices occur when two dimensions of a data set are combined along one edge of a matrix. For example, trade-flow data in the 'decompr' and 'gvc' packages have each country-industry combination occur along both edges of the matrix.
Author: Bastiaan Quast [aut, cre]
Maintainer: Bastiaan Quast <bquast@gmail.com>

Diff between diagonals versions 5.2.0 dated 2020-04-28 and 6.0.0 dated 2021-05-08

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Package Markovchart updated to version 2.0.1 with previous version 2.0.0 dated 2021-04-23

Title: Markov Chain-Based Cost-Optimal Control Charts
Description: Functions for cost-optimal control charts with a focus on health care applications. Compared to assumptions in traditional control chart theory, here, we allow random shift sizes, random repair and random sampling times. The package focuses on X-bar charts with a sample size of 1 (representing the monitoring of a single patient at a time). The methods are described in Zempleni et al. (2004) <doi:10.1002/asmb.521>, Dobi and Zempleni (2019) <doi:10.1002/qre.2518> and Dobi and Zempleni (2019) <http://ac.inf.elte.hu/Vol_049_2019/129_49.pdf>.
Author: Balazs Dobi & Andras Zempleni
Maintainer: Balazs Dobi <dobibalazs@inf.elte.hu>

Diff between Markovchart versions 2.0.0 dated 2021-04-23 and 2.0.1 dated 2021-05-08

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Package ddp updated to version 0.0.3 with previous version 0.0.2 dated 2020-08-03

Title: Desirable Dietary Pattern
Description: The desirable Dietary Pattern (DDP)/ PPH score measures the variety of food consumption. The (weighted) score is calculated based on the type of food. This package is intended to calculate the DDP/ PPH score that is faster than traditional method via a manual calculation by BKP (2017) <http://bkp.pertanian.go.id/storage/app/uploads/public/5bf/ca9/06b/5bfca906bc654274163456.pdf> and is simpler than the nutrition survey <http://www.nutrisurvey.de>. The database to create weights and baseline values is the Indonesia national survey in 2017.
Author: Weksi Budiaji [aut, cre]
Maintainer: Weksi Budiaji <budiaji@untirta.ac.id>

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Package CGGP updated to version 1.0.3 with previous version 1.0.2 dated 2020-03-29

Title: Composite Grid Gaussian Processes
Description: Run computer experiments using the adaptive composite grid algorithm with a Gaussian process model. The algorithm works best when running an experiment that can evaluate thousands of points from a deterministic computer simulation. This package is an implementation of a forthcoming paper by Plumlee, Erickson, Ankenman, et al. For a preprint of the paper, contact the maintainer of this package.
Author: Collin Erickson [aut, cre], Matthew Plumlee [aut]
Maintainer: Collin Erickson <collinberickson@gmail.com>

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Package VLTimeCausality updated to version 0.1.3 with previous version 0.1.2 dated 2021-03-29

Title: Variable-Lag Time Series Causality Inference Framework
Description: A framework to infer causality on a pair of time series of real numbers based on variable-lag Granger causality and transfer entropy. Typically, Granger causality and transfer entropy have an assumption of a fixed and constant time delay between the cause and effect. However, for a non-stationary time series, this assumption is not true. For example, considering two time series of velocity of person A and person B where B follows A. At some time, B stops tying his shoes, then running to catch up A. The fixed-lag assumption is not true in this case. We propose a framework that allows variable-lags between cause and effect in Granger causality and transfer entropy to allow them to deal with variable-lag non-stationary time series. Please see Chainarong Amornbunchornvej, Elena Zheleva, and Tanya Berger-Wolf (2021) <doi:10.1145/3441452> when referring to this package in publications.
Author: Chainarong Amornbunchornvej [aut, cre] (<https://orcid.org/0000-0003-3131-0370>)
Maintainer: Chainarong Amornbunchornvej <grandca@gmail.com>

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Package Ravages updated to version 0.1.4 with previous version 0.1.3 dated 2021-04-08

Title: Rare Variant Analysis and Genetic Simulations
Description: Rare variant association tests: burden tests (Bocher et al. 2019 <doi:10.1002/gepi.22210>) and the Sequence Kernel Association Test (Bocher et al. 2021 <doi:10.1038/s41431-020-00792-8>); and genetic simulations.
Author: Ozvan Bocher and Hervé Perdry
Maintainer: Ozvan Bocher <bocherozvan@gmail.com>

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Package wrappedtools updated to version 0.7.8 with previous version 0.7.6 dated 2021-05-05

Title: Useful Wrappers Around Commonly Used Functions
Description: The main functionalities of 'wrappedtools' are: adding backticks to variable names; rounding to desired precision with special case for p-values; selecting columns based on pattern and storing their position, name, and backticked name; computing and formatting of descriptive statistics (e.g. mean±SD), comparing groups and creating publication-ready tables with descriptive statics and p-values; creating specialized plots for correlation or regression trees. Functions were mainly written for my own daily work or teaching, but may be of use to others as well.
Author: Andreas Busjahn [cre, aut] (<https://orcid.org/0000-0001-9650-6919>)
Maintainer: Andreas Busjahn <andreas@busjahn.net>

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Package fastmatrix updated to version 0.3-819 with previous version 0.3-81 dated 2021-02-05

Title: Fast Computation of some Matrices Useful in Statistics
Description: Small set of functions to fast computation of some matrices and operations useful in statistics and econometrics. Currently, there are functions for efficient computation of duplication, commutation and symmetrizer matrices with minimal storage requirements. Some commonly used matrix decompositions (LU and LDL), basic matrix operations (for instance, Hadamard, Kronecker products and the Sherman-Morrison formula) and iterative solvers for linear systems are also available. In addition, the package includes a number of common statistical procedures such as the sweep operator, weighted mean and covariance matrix using an online algorithm, linear regression (using Cholesky, QR, SVD, sweep operator and conjugate gradients methods), ridge regression (with optimal selection of the ridge parameter considering the GCV procedure), functions to compute the multivariate skewness, kurtosis, Mahalanobis distance (checking the positive defineteness) and the Wilson-Hilferty transformation of chi squared variables. Furthermore, the package provides interfaces to C code callable by another C code from other R packages.
Author: Felipe Osorio [aut, cre] (<https://orcid.org/0000-0002-4675-5201>), Alonso Ogueda [aut]
Maintainer: Felipe Osorio <felipe.osorios@usm.cl>

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Package dexter updated to version 1.1.3 with previous version 1.1.2 dated 2021-01-06

Title: Data Management and Analysis of Tests
Description: A system for the management, assessment, and psychometric analysis of data from educational and psychological tests.
Author: Gunter Maris [aut], Timo Bechger [aut], Jesse Koops [aut, cre], Ivailo Partchev [aut]
Maintainer: Jesse Koops <jesse.koops@cito.nl>

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Package sicegar updated to version 0.2.4 with previous version 0.2.3 dated 2019-08-23

Title: Analysis of Single-Cell Viral Growth Curves
Description: Aims to quantify time intensity data by using sigmoidal and double sigmoidal curves. It fits straight lines, sigmoidal, and double sigmoidal curves on to time vs intensity data. Then all the fits are used to make decision on which model best describes the data. This method was first developed in the context of single-cell viral growth analysis (for details, see Caglar et al. (2018) <doi:10.7717/peerj.4251>), and the package name stands for "SIngle CEll Growth Analysis in R".
Author: M. Umut Caglar [aut], Claus O. Wilke [aut, cre] (<https://orcid.org/0000-0002-7470-9261>)
Maintainer: Claus O. Wilke <wilke@austin.utexas.edu>

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New package genomicper with initial version 1.7
Package: genomicper
Title: Circular Genomic Permutation using Genome Wide Association p-Values
Version: 1.7
Date: 2021-05-06
Authors@R: c(person(given=c("Claudia","P"),family="Cabrera",role = c("aut", "cre"), email = "c.cabrera@qmul.ac.uk"), person(given="Pau",family="Navarro", role = "aut"), person(given=c("Chris","S"),family="Haley", role = "aut"))
Author: Claudia P Cabrera [aut, cre], Pau Navarro [aut], Chris S Haley [aut]
Maintainer: Claudia P Cabrera <c.cabrera@qmul.ac.uk>
Imports: stats,grDevices,utils,graphics,DBI,reactome.db,AnnotationDbi
Description: Circular genomic permutation approach uses genome wide association studies (GWAS) results to establish the significance of pathway/gene-set associations whilst accounting for genomic structure(Cabrera et al (2012) <doi:10.1534/g3.112.002618>). All single nucleotide polymorphisms (SNPs) in the GWAS are placed in a 'circular genome' according to their location. Then the complete set of SNP association p-values are permuted by rotation with respect to the SNPs' genomic locations. Two testing frameworks are available: permutations at the gene level, and permutations at the SNP level. The permutation at the gene level uses Fisher's combination test to calculate a single gene p-value, followed by the hypergeometric test. The SNP count methodology maps each SNP to pathways/gene-sets and calculates the proportion of SNPs for the real and the permutated datasets above a pre-defined threshold. Genomicper requires a matrix of GWAS association p-values and SNPs annotation to genes. Pathways can be obtained from within the package or can be provided by the user.
License: GPL-2
NeedsCompilation: no
Packaged: 2021-05-06 16:06:27 UTC; PallisDell
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2021-05-08 08:00:05 UTC

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Package Rwhois updated to version 1.0.5 with previous version 1.0.4 dated 2020-04-16

Title: WHOIS Server Querying
Description: Queries data from WHOIS servers.
Author: Brad Cable
Maintainer: Brad Cable <brad@bcable.net>

Diff between Rwhois versions 1.0.4 dated 2020-04-16 and 1.0.5 dated 2021-05-08

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Package corrplot updated to version 0.87 with previous version 0.84 dated 2017-10-16

Title: Visualization of a Correlation Matrix
Description: A graphical display of a correlation matrix or general matrix. It also contains some algorithms to do matrix reordering. In addition, corrplot is good at details, including choosing color, text labels, color labels, layout, etc.
Author: Taiyun Wei [cre, aut], Viliam Simko [aut], Michael Levy [ctb], Yihui Xie [ctb], Yan Jin [ctb], Jeff Zemla [ctb], Moritz Freidank [ctb], Jun Cai [ctb], Tomas Protivinsky [ctb]
Maintainer: Taiyun Wei <weitaiyun@gmail.com>

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Package SeuratObject updated to version 4.0.1 with previous version 4.0.0 dated 2021-01-15

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 Rsurrogate updated to version 3.0 with previous version 2.0 dated 2016-10-20

Title: Robust Estimation of the Proportion of Treatment Effect Explained by Surrogate Marker Information
Description: Provides functions to estimate the proportion of treatment effect on the primary outcome that is explained by the treatment effect on the surrogate marker.
Author: Layla Parast
Maintainer: Layla Parast <parast@rand.org>

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Package rsample updated to version 0.1.0 with previous version 0.0.9 dated 2021-02-17

Title: General Resampling Infrastructure
Description: Classes and functions to create and summarize different types of resampling objects (e.g. bootstrap, cross-validation).
Author: Julia Silge [aut, cre] (<https://orcid.org/0000-0002-3671-836X>), Fanny Chow [aut], Max Kuhn [aut], Hadley Wickham [aut], RStudio [cph]
Maintainer: Julia Silge <julia.silge@rstudio.com>

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Package poismf updated to version 0.3.0-1 with previous version 0.3.0 dated 2021-04-06

Title: Factorization of Sparse Counts Matrices Through Poisson Likelihood
Description: Creates a low-rank factorization of a sparse counts matrix by maximizing Poisson likelihood with l1/l2 regularization with all non-negative latent factors (e.g. for recommender systems or topic modeling) (Cortes, (2018) <arXiv:1811.01908>). Similar to hierarchical Poisson factorization, but follows an optimization-based approach with regularization instead of a hierarchical structure, and is fit through gradient-based methods instead of variational inference.
Author: David Cortes [aut, cre, cph], Jean-Sebastien Roy [cph], Stephen Nash [cph]
Maintainer: David Cortes <david.cortes.rivera@gmail.com>

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Package distcomp updated to version 1.3-1 with previous version 1.1 dated 2019-09-23

Title: Computations over Distributed Data without Aggregation
Description: Implementing algorithms and fitting models when sites (possibly remote) share computation summaries rather than actual data over HTTP with a master R process (using 'opencpu', for example). A stratified Cox model and a singular value decomposition are provided. The former makes direct use of code from the R 'survival' package. (That is, the underlying Cox model code is derived from that in the R 'survival' package.) Sites may provide data via several means: CSV files, Redcap API, etc. An extensible design allows for new methods to be added in the future and includes facilities for local prototyping and testing. Web applications are provided (via 'shiny') for the implemented methods to help in designing and deploying the computations.
Author: Balasubramanian Narasimhan [aut, cre], Marina Bendersky [aut], Sam Gross [aut], Terry M. Therneau [ctb], Thomas Lumley [ctb]
Maintainer: Balasubramanian Narasimhan <naras@stat.Stanford.EDU>

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