We thus recommend using grandR after primary processing by our GRAND-SLAM tool17, which provides these posterior distributions. We put special emphasis on designing our package to be usable by non-experts in R
Programming Interface) attempts to provide a standard set of programmatic functions for developing UA/SA software and serves as the underlying “engine” for other UA/SA packages (UCODE 2005/2014 were developed on top of this API). The provided modules are developed in Fortran-90 and support ...
This ‘promise’ is an object assigned to a variable in R like any other, and allows code execution to progress until the moment the code explicitly requires the future to be resolved (i.e. to ‘make good’ on it’s promise). So the code does not need to wait for the web server ...
R.M. Ripley (University of Oxford) R programming: create an R package 2008/9 10 / 12 Test data Hints Calculation of the changes in the statistics When I first wrote this I had a loop for each actor do toggle the link (of a copy). (No change if this is the active actor: but...
The purpose of the future package is to provide a very simple and uniform way of evaluating R expressions asynchronously using various resources available to the user.In programming, a future is an abstraction for a value that may be available at some point in the future. The state of a ...
The best SQL community-led learning event. Sept 2025. Save €200 with code FABLEARN. Get registered Training Module Explore and analyze data with R - Training In this module, you explore, analyze, and visualize data by using the R programming language....
Topic: Web Technologies and Services Maintainer: Scott Chamberlain, Thomas Leeper, Patrick Mair, Karthik Ram, Christopher Gandrud Repository: https://cran.rstudio.com/ --- Name: gR Topic: gRaphical Models in R Maintainer: Soren Hojsgaard Repository: https://cran.rstudio.com/ 2. download.views...
9 The R programming language has become one of the most popular tools for biomedical data analysis.10 Some efforts have been made to build common representations and infrastructures for complex, highly interdependent datasets in R.10,11 For example, SummarizedExperiment12 class is widely used to ...
This R package provides implementations of several semi-supervised learning methods, in particular, our own work involving constraint based semi-supervised learning. To cite the package, use either of these two references: Krijthe, J. H. (2016). RSSL: R package for Semi-supervised Learning. I...
Case outlines were changed because of the migration from gold wire to copper wire in some packages. See the table below for the old (gold wire) package versus the new (copper wire) package. To view the new drawing, go to Freescale.com and search on the new 98A package number for your...