# MixfMRI v0.1-0

Monthly downloads

## Mixture fMRI Clustering Analysis

Utilizing model-based clustering (unsupervised)
for functional magnetic resonance imaging (fMRI) data.
The developed methods (Chen and Maitra (2018, manuscript)) include
2D and 3D clustering analyses (for p-values with voxel locations) and
segmentation analyses (for p-values alone) for fMRI data where p-values
indicate significant level of activation responding to stimulate
of interesting. The analyses are mainly identifying active
voxel/signal associated with normal brain behaviors.
Analysis pipelines (R scripts) utilizing this package
(see examples in 'inst/workflow/') is also implemented with high
performance techniques.

## Functions in MixfMRI

Name | Description | |

LRT | Likelihood ratio tests | |

Simulations | Generate datasets for MixfMRI simulations | |

Print Objects | Print fclust related outputs | |

algorithm | Main algorithms implemented in fclust | |

Plotting | Main plotting function | |

Main functions | Main MixfMRI function | |

MixfMRI Control | Sets of controls in MixfMRI | |

Example Datasets | Example datasets in MixfMRI | |

MixfMRI-package | fMRI Clustering Analysis | |

initial | Main initialization functions | |

Likelihood Mixture Tests with Identity Cov Matrix or Only p-values | Likelihood Mixture Tests with Identity Cov Matrix or Only p-values | |

Density function of p-values | Density function of p-values | |

False Discovery Rates for Spatial Signals | False Discovery Rates for Spatial Signals using Benjamini and Heller (2007) | |

Generalized Cluster-Based Analysis (CBA) Method | Generalized Cluster-Based Analysis (CBA) Method | |

Covariance Matrices | Covariance Matrices | |

Compute Q values | Q-values using Benjamini and Hochberg (1995) | |

Summarized Overlap | Summarized Overlap | |

Covariance Matrices of Logit ETA | Covariance Matrices of Logit ETA | |

Compute Statistics for Log Odds Ratio of Posterior Probability | Compute Statistics for Log Odds Ratio of Posterior Probability | |

General Internal Functions | All General Internal Functions and Datasets | |

Smoothing | Generate datasets with smoothing for MixfMRI simulations | |

No Results! |

## Vignettes of MixfMRI

## Last month downloads

## Details

Date | 2018-04-25 |

LazyLoad | yes |

LazyData | yes |

License | Mozilla Public License 2.0 |

BugReports | https://github.com/snoweye/MixfMRI/issues |

URL | https://github.com/snoweye/MixfMRI |

NeedsCompilation | yes |

Packaged | 2018-04-26 00:32:11 UTC; snoweye |

Repository | CRAN |

Date/Publication | 2018-04-26 11:38:14 UTC |

enhances | AnalyzeFMRI , oro.nifti , pbdMPI (>= 0.3-4) |

imports | EMCluster , fftw , MASS , Matrix , MixSim , RColorBrewer |

depends | R (>= 3.4.0) |

Contributors | Ranjan Maitra, Dan Nettleton |

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