ezer/NITPicker: Finds the Best Subset of Points to Sample

Given a few examples of experiments over a time (or spatial) course NITPicker selectes a subset of points to sample in follow-up experiments, which would (i) best distinguish between the experimental conditions and the control condition (ii) best distinguish between two models of how the experimental condition might differ from the control (iii) a combination of the two.

Getting started

Package details

AuthorDaphne Ezer
MaintainerDaphne Ezer <dezer@turing.ac.uk>
LicenseGPL (>= 2)
Version0.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("ezer/NITPicker")
ezer/NITPicker documentation built on May 12, 2019, 7:18 p.m.