The `gen_hrf_lagged` function takes an HRF function and applies a specified lag to it. This can be useful for modeling time-delayed hemodynamic responses.
Usage
gen_hrf_lagged(hrf, lag = 2, normalize = FALSE, ...)
hrf_lagged(hrf, lag = 2, normalize = FALSE, ...)Arguments
- hrf
A function representing the underlying HRF to be shifted.
- lag
A numeric value specifying the lag or delay in seconds to apply to the HRF. This can also be a vector of lags, in which case the function returns an HRF set.
- normalize
A logical value indicating whether to rescale the output so that the maximum absolute value is 1. Defaults to `FALSE`.
- ...
Extra arguments supplied to the `hrf` function.
Value
For a scalar `lag`, a function of `t` giving the lagged response. For a
vector of lags, an `HRF` basis set (see hrf_set) with
nbasis(hrf) columns per lag.
an lagged hrf function
Examples
# \donttest{
hrf_lag5 <- gen_hrf_lagged(HRF_SPMG1, lag=5)
hrf_lag5(0:20)
#> [1] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [6] 0.000000000 0.003065662 0.036089408 0.100818722 0.156290945
#> [11] 0.175441162 0.160474598 0.127164898 0.090099332 0.057488435
#> [16] 0.032046930 0.013523200 0.000675452 -0.007752192 -0.012760400
#> [21] -0.015136856
# }