Nitime Documentation

Release:0.7 Date:November 07, 2017, 23:44 PDT

Contents:

• User Guide
  • Quickstart
  • Download and install
  • Nitime: an overview
  • Design Principles
  • Base classes
  • Tutorial
• What’s new in Nitime
  • Release notes for nitime version 0.7
  • Release notes for nitime version 0.6
  • Release notes for nitime version 0.5
  • Release notes for nitime version 0.4
  • Release notes for nitime version 0.3
• Examples
  • Mulitvariate auto-regressive modeling - 3 variables
  • Multi-taper coherence estimation
  • Fitting an AR model: algorithm module interface
  • Multitaper F-test for harmonic components
  • Caclulation of Signal to noise and information
  • Fitting an MAR model: analyzer interface
  • Multitaper method for baseband demodulation
  • Event-related fMRI
  • Filtering and normalizing fMRI data
  • Auditory processing in grasshoppers
  • Mulitvariate auto-regressive modeling
  • Granger ‘causality’ of fMRI data
  • Multi-taper spectral estimation
  • Coherency analysis of fMRI data
  • Seed correlation/coherence with fMRI data
• Discussion
  • A note about the discussion section
  • Jack-knifing a Multitaper SDF estimator
• Working with nitime source code
  • Introduction
  • Install git
  • Following the latest source
  • Making a patch
  • Git for development
  • git resources
  • Releasing Nitime
• API
  • algorithms.autoregressive
  • algorithms.cohere
  • algorithms.correlation
  • algorithms.event_related
  • algorithms.filter
  • algorithms.spectral
  • algorithms.wavelet
  • analysis.base
  • analysis.coherence
  • analysis.correlation
  • analysis.event_related
  • analysis.granger
  • analysis.normalization
  • analysis.snr
  • analysis.spectral
  • descriptors
  • fmri.hrf
  • fmri.io
  • index_utils
  • lazy
  • lazyimports
  • six
  • timeseries
  • utils
  • viz