cran packages by task

Copula approach: Package copula provides utilities for exploring and modelling a wide range of commonly used copulas, see also the Distributions task view (copula section). The coxinterval package permits to fit Cox models to the progressive illness-death model observed under right-censored survival times and interval- or right-censored progression times. The packages in this view can be roughly structured into the following topics. CRAN Task View: Phylogenetics; Bioconductor Bioconductor Package: multtest; Bioconductor Package: qvalue; Bioconductor package snpMatrix (2.8) R packages from Divison of Biostatistics, Mayo Clinic QTL-ALL : provides interfaces between Merlin and/or Simwalk2 and plotting of results in R. R Software by David Duffy BayesMendel This task view is about R add-on packages providing newer or faster, more efficient algorithms and notably for (robustification of) new models. There is also a considerable overlap between the tools for time series and those in the Econometrics and Finance task views. This functionality is complemented by many packages on CRAN, a brief overview is given below. The gamboostMSM package extends the mboost package to estimation in the mulstistate model framework, while the penMSM package proposes L1 penalised estimation. There is also a considerable overlap between the tools for econometrics in this view and those in the task views on Finance, SocialSciences, and TimeSeries. Please send suggestions for additions and extensions to the task view maintainer . Task Views are helpful in guiding users through the huge set of available R packages. Model deployment is often challenging due to various reasons. The task view does not consider the meta-analysis of individual participant data (IPD) which can be handled by any of the standard linear modelling functions but it does include some packages which offer special facilities for IPD. Many long-term R users I know have no idea they exist. ... For a classification by subject see the list at the end of this task view. CRAN Task Views are guides to the packages and functions useful for certain disciplines and methodologies. This CRAN task view contains a list of packages which offer facilities for solving optimization problems. As an effort to make them more widely known I thought I'd jazz up the index page. They are actively maintained by volunteers who include detailed annotations for routines and packages. Resources: Code of Conduct: Please note that this project is released with a Contributor Code of Conduct . CRAN Task Views. This CRAN task view contains a list of packages, grouped by topic, that provides functionalities to streamline the process of deploying models to various environments, such as mobile devices, edge devices, cloud, and GPUs, for scoring or inferencing on new data. Visual puns are mine. Since CRAN is not currently accepting any new task views, preparing a proper ctv file is not a priority. Images are free to use, and got from SXC stock photo site. This is complemented by many packages on CRAN, which are briefly summarized below. The package ismev provides a collection of functions to fit a point process with explanatory variables (diagnostic plot, MLE) and follows the book of Coles (2001). Install and Load Any Package from CRAN, Bioconductor or Github: anytime: Anything to 'POSIXct' or 'Date' Converter: aod: Analysis of Overdispersed Data: aods3: Analysis of Overdispersed Data using S3 Methods: aoos: Another Object Orientation System: Aoptbdtvc: A-Optimal Block Designs for Comparing Test Treatments with Controls: aoristic CRAN maintains a set of Task Views that identify packages associated with a particular task or methodology. This task view covers packages which include facilities for meta-analysis of summary statistics from primary studies. 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