fsl_l2_model: Estimate a level 2 (subject) model using FSL FEAT with fixed...
In UNCDEPENdLab/fmri.pipeline: Analysis of fMRI Data on HPC clusters
fsl_l2_model R Documentation
Estimate a level 2 (subject) model using FSL FEAT with fixed effects integration of runs
Description
Estimate a level 2 (subject) model using FSL FEAT with fixed effects integration of runs
Usage
fsl_l2_model(l1_df = NULL, l2_model, gpa)
Arguments
l1_df
a data.frame containing all runs for a single subject and a single l1 model. This
data.frame defines the inputs for the L2 analysis (i.e., which runs to combine).
l2_model
a model string in gpa$l2_models containing the L2 model to setup
gpa
a glm_pipeline_arguments object containing model specification
Author(s)
Michael Hallquist
UNCDEPENdLab/fmri.pipeline documentation built on April 3, 2025, 3:21 p.m.
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| fsl_l2_model | R Documentation |
Estimate a level 2 (subject) model using FSL FEAT with fixed effects integration of runs
Description
Estimate a level 2 (subject) model using FSL FEAT with fixed effects integration of runs
Usage
fsl_l2_model(l1_df = NULL, l2_model, gpa)
Arguments
l1_df |
a data.frame containing all runs for a single subject and a single l1 model. This data.frame defines the inputs for the L2 analysis (i.e., which runs to combine). |
l2_model |
a model string in gpa$l2_models containing the L2 model to setup |
gpa |
a |
Author(s)
Michael Hallquist
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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