cin: Causal Inference for Neuroscience

Many experiments in neuroscience involve randomized and fast stimulation while the continuous outcome measures respond at much slower time scale, for example event-related fMRI. This package provide valid statistical tools with causal interpretation under these challenging settings, without imposing model assumptions.

Getting started

Package details

AuthorXi (Rossi) LUO with contributions from Dylan Small, Chiang-shan Li, and Paul Rosenbaum
MaintainerXi (Rossi) LUO <[email protected]>
Package repositoryView on CRAN
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cin documentation built on May 2, 2019, 5:11 a.m.