R: Hemodynamic Response Functions for fMRI Data Analysis

# Hemodynamic Response Functions for fMRI Data Analysis

## Documentation for package ‘fmrihrf’ version 0.3.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

acquisition_onsets | Get fMRI Acquisition Onset Times
acquisition_onsets.sampling_frame | Get fMRI Acquisition Onset Times
amplitudes | Get amplitudes from an object
amplitudes.Reg | Get amplitudes from an object
blockids | Get block identifiers
blockids.sampling_frame | Get block identifiers
blocklens | Get block lengths
blocklens.sampling_frame | Get block lengths
block_hrf | Create a Blocked HRF Object
deriv | Compute derivatives of HRF functions
deriv.HRF | Default derivative method for HRF objects
deriv.SPMG1_HRF | Default derivative method for HRF objects
deriv.SPMG2_HRF | Default derivative method for HRF objects
deriv.SPMG3_HRF | Default derivative method for HRF objects
durations | Get durations of an object
durations.Reg | Get durations of an object
evaluate | Evaluate a regressor object over a time grid
evaluate.HRF | Evaluate an HRF Object
evaluate.Reg | Evaluate a regressor object over a time grid
evaluate.RegSet | Construct a Regressor Set
gen_hrf | Construct an HRF Instance using Decorators
gen_hrf_blocked | Generate a Blocked HRF Function
gen_hrf_lagged | Generate a Lagged HRF Function
getHRF | Get HRF by Name
global_onsets | Convert onsets to global timing
global_onsets.sampling_frame | Convert onsets to global timing
HRF | HRF Constructor Function
hrf_basis_lwu | LWU HRF Basis for Taylor Expansion
hrf_blocked | Generate a Blocked HRF Function
hrf_boxcar | Boxcar HRF (No Hemodynamic Delay)
HRF_BSPLINE | Pre-defined Hemodynamic Response Function Objects
hrf_bspline | B-spline HRF (hemodynamic response function)
hrf_bspline_generator | Create B-spline HRF Basis Set
hrf_daguerre_generator | Create Daguerre HRF Basis Set
HRF_FIR | Pre-defined Hemodynamic Response Function Objects
hrf_fir_generator | Create FIR HRF Basis Set
hrf_fourier | Fourier basis for HRF modeling
hrf_fourier_generator | Create Fourier HRF Basis Set
hrf_from_coefficients | Combine HRF Basis with Coefficients
hrf_from_coefficients.HRF | Combine HRF Basis with Coefficients
HRF_GAMMA | Pre-defined Hemodynamic Response Function Objects
hrf_gamma | Gamma HRF (hemodynamic response function)
HRF_GAUSSIAN | Pre-defined Hemodynamic Response Function Objects
hrf_gaussian | Gaussian HRF (hemodynamic response function)
hrf_half_cosine | Half-cosine HRF
hrf_inv_logit | hrf_inv_logit
hrf_lagged | Generate a Lagged HRF Function
hrf_lwu | Lag-Width-Undershoot (LWU) HRF
hrf_mexhat | Mexican Hat HRF (hemodynamic response function)
HRF_objects | Pre-defined Hemodynamic Response Function Objects
hrf_sine | hrf_sine
HRF_SPMG1 | Pre-defined Hemodynamic Response Function Objects
hrf_spmg1 | hrf_spmg1
HRF_SPMG2 | Pre-defined Hemodynamic Response Function Objects
HRF_SPMG3 | Pre-defined Hemodynamic Response Function Objects
hrf_tent_generator | Create Tent HRF Basis Set
hrf_time | HRF (hemodynamic response function) as a linear function of time
hrf_toeplitz | HRF Toeplitz Matrix
hrf_weighted | Weighted HRF (No Hemodynamic Delay)
lag_hrf | Lag an HRF Object
list_available_hrfs | List all available hemodynamic response functions (HRFs)
make_hrf | Create an HRF from a basis specification
nbasis | Number of basis functions
nbasis.HRF | Number of basis functions
nbasis.Reg | Number of basis functions
neural_input | Generate Neural Input Function from Event Timing
neural_input.Reg | Generate Neural Input Function from Event Timing
normalise_hrf | Normalise an HRF Object
onsets | Get event onsets from an object
onsets.Reg | Get event onsets from an object
penalty_matrix | Generate penalty matrix for regularization
penalty_matrix.BSpline_HRF | Generate penalty matrix for regularization
penalty_matrix.Daguerre_HRF | Generate penalty matrix for regularization
penalty_matrix.FIR_HRF | Generate penalty matrix for regularization
penalty_matrix.Fourier_HRF | Generate penalty matrix for regularization
penalty_matrix.HRF | Generate penalty matrix for regularization
penalty_matrix.SPMG2_HRF | Generate penalty matrix for regularization
penalty_matrix.SPMG3_HRF | Generate penalty matrix for regularization
penalty_matrix.Tent_HRF | Generate penalty matrix for regularization
plot.HRF | Plot an HRF Object
plot.Reg | Plot a Regressor Object
plot_hrfs | Compare Multiple HRF Functions
plot_regressors | Compare Multiple Regressor Objects
print.HRF | Print an HRF Object
print.Reg | Print method for Reg objects
print.sampling_frame | Print method for Reg objects
reconstruction_matrix | Combine HRF Basis with Coefficients
reconstruction_matrix.HRF | Combine HRF Basis with Coefficients
regressor | Construct a Regressor Object
regressor_design | Build a Design Matrix from Block-wise Onsets
regressor_set | Construct a Regressor Set
samples | Get sample acquisition times
samples.sampling_frame | Get sample acquisition times
sampling_frame | A 'sampling_frame' describes the block structure and temporal sampling of an fMRI paradigm.
shift | Shift a time series object
shift.Reg | Shift a time series object
single_trial_regressor | Create a single trial regressor