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.
Version: |
0.1 |
Published: |
2011-12-30 |
Author: |
Xi (Rossi) LUO with contributions from Dylan Small, Chiang-shan Li, and Paul Rosenbaum |
Maintainer: |
Xi (Rossi) LUO <xi.rossi.luo at gmail.com> |
License: |
GPL-2 |
NeedsCompilation: |
no |
Materials: |
ChangeLog |
CRAN checks: |
cin results |
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