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>
License: GPL-2
NeedsCompilation: no
Materials: ChangeLog
CRAN checks: cin results


Reference manual: cin.pdf
Package source: cin_0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: cin_0.1.tgz
OS X Mavericks binaries: r-oldrel: cin_0.1.tgz

Reverse dependencies:

Reverse suggests: pro


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