This package contains R functions for estimating the blood oxygenation level dependent (BOLD) effect by using functional Magnetic Resonance Imaging (fMRI) data, based on adaptive Gauss Markov random fields, for real as well as simulated data. The implemented simulations make use of efficient Markov Chain Monte Carlo methods.

Author | Max Hughes |

Date of publication | 2013-01-19 16:27:49 |

Maintainer | Max Hughes <hughesgm@me.com> |

License | GPL-2 |

Version | 1.1 |

**adaptiveGMRF:** Adaptive GMRF Model (Real Data)

**adaptiveGMRF2COVAR:** Adaptive GMRF Model (Real Data)

**adaptsmoFMRI-package:** Adaptive Smoothing of FMRI Data

**sim.adaptiveGMRF:** Adaptive GMRF Model for Simulated Data

**sim.adaptiveGMRF2COVAR:** Adaptive GMRF Model for Simulated Data

**sim_fmri:** Simulated FMRI Data Set (for one covariate)

**sim.fmri:** Simulate FMRI Data

**sim_fmri_2covar:** Simulated FMRI Data Set (for two covariates)

**sim.fmri2COVAR:** Simulate FMRI Data

**sim.weightsplot:** Plot Function for Weights (Simulated Data)

**weightsplot:** Plot Function for Weights (Real Data)

adaptsmoFMRI

adaptsmoFMRI/MD5

adaptsmoFMRI/R

adaptsmoFMRI/R/sim-fmri.R
adaptsmoFMRI/R/sim-fmri-2covar.R
adaptsmoFMRI/R/sim-adaptive-gmrf.R
adaptsmoFMRI/R/sim-adaptive-gmrf-2covar.R
adaptsmoFMRI/R/plot-weights-sim.R
adaptsmoFMRI/R/plot-weights-real.R
adaptsmoFMRI/R/adaptive-gmrf.R
adaptsmoFMRI/R/adaptive-gmrf-2covar.R
adaptsmoFMRI/NAMESPACE

adaptsmoFMRI/man

adaptsmoFMRI/man/weightsplot.Rd
adaptsmoFMRI/man/sim_fmri_2covar.Rd
adaptsmoFMRI/man/sim_fmri.Rd
adaptsmoFMRI/man/sim.weightsplot.Rd
adaptsmoFMRI/man/sim.fmri2COVAR.Rd
adaptsmoFMRI/man/sim.fmri.Rd
adaptsmoFMRI/man/sim.adaptiveGMRF2COVAR.Rd
adaptsmoFMRI/man/sim.adaptiveGMRF.Rd
adaptsmoFMRI/man/adaptsmoFMRI-package.Rd
adaptsmoFMRI/man/adaptiveGMRF2COVAR.Rd
adaptsmoFMRI/man/adaptiveGMRF.Rd
adaptsmoFMRI/DESCRIPTION

adaptsmoFMRI/data

adaptsmoFMRI/data/sim_fmri_2covar.RData

adaptsmoFMRI/data/sim_fmri.RData

adaptsmoFMRI/data/datalist

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

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