cin: Causal Inference for Neuroscience

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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.

Author
Xi (Rossi) LUO with contributions from Dylan Small, Chiang-shan Li, and Paul Rosenbaum
Date of publication
2011-12-30 11:22:46
Maintainer
Xi (Rossi) LUO <xi.rossi.luo@gmail.com>
License
GPL-2
Version
0.1

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Man pages

cin
inference under interference
cin-internal
internal cin functions

Files in this package

cin
cin/MD5
cin/DESCRIPTION
cin/man
cin/man/cin.Rd
cin/man/cin-internal.Rd
cin/R
cin/R/cin.R
cin/R/truncSum.R
cin/R/intertest.R
cin/R/gammaHRF.R
cin/ChangeLog
cin/NAMESPACE