BayesfMRI-package | BayesfMRI: Spatial Bayesian Methods for Task Functional MRI Studies |
.findTheta | Perform the EM algorithm of the Bayesian GLM fitting |
.getSqrtInvCpp | Get the prewhitening matrix for a single data location |
.initialKP | Find the initial values of kappa2 and phi |
.logDetQt | Find the log of the determinant of Q_tilde |
activations | Identify field activations |
aic_Param | aic |
ar_order_Param | ar_order |
ar_smooth_Param | ar_smooth |
BayesfMRI | BayesfMRI: Spatial Bayesian Methods for Task Functional MRI Studies |
BayesGLM | BayesGLM for CIFTI |
BayesGLM2 | Group-level Bayesian GLM |
Bayes_Param | Bayes |
BOLD_Param_BayesGLM | BOLD |
brainstructures_Param_BayesGLM | brainstructures |
buffer_Param | buffer |
Connectome_Workbench_Description | Connectome Workbench |
contrasts_Param | contrasts |
design_Param_BayesGLM | design |
do_QC | Mask out invalid data |
emTol_Param | emTol |
EM_Param | EM |
faces_Param | faces |
field_names_Param | field_names |
fit_bayesglm | fit_bayesglm |
hpf_Param_BayesGLM | hpf |
id_activations | Identify field activations |
INLA_Description | INLA |
INLA_Latent_Fields_Limit_Description | INLA Latent Fields |
make_mesh | Make Mesh |
mask_Param_vertices | mask: vertices |
max_threads_Param | max_threads |
mean_var_Tol_Param | mean and variance tolerance |
mesh_Param_either | mesh: either |
mesh_Param_inla | mesh: INLA only |
nbhd_order_Param | nbhd_order |
nuisance_Param_BayesGLM | nuisance |
n_threads_Param | n_threads |
plot.act_BGLM | S3 method: use 'view_xifti' to plot a '"act_BGLM"' object |
plot.BGLM | S3 method: use 'view_xifti' to plot a '"BGLM"' object |
plot.BGLM2 | S3 method: use 'view_xifti' to plot a '"BGLM2"' object |
plot.prev_BGLM | S3 method: use 'view_xifti' to plot a '"prev_BGLM"' object |
prevalence | Activations prevalence. |
print.act_BGLM | Summarize a '"act_BGLM"' object |
print.act_fit_bglm | Summarize a '"act_fit_bglm"' object |
print.BGLM | Summarize a '"BGLM"' object |
print.BGLM2 | Summarize a '"BGLM2"' object |
print.fit_bglm | Summarize a '"fit_bglm"' object |
print.fit_bglm2 | Summarize a '"fit_bglm2"' object |
print.prev_BGLM | Summarize a '"prev_BGLM"' object |
print.prev_fit_bglm | Summarize a '"prev_fit_bglm"' object |
print.summary.act_BGLM | Summarize a '"act_BGLM"' object |
print.summary.act_fit_bglm | Summarize a '"act_fit_bglm"' object |
print.summary.BGLM | Summarize a '"BGLM"' object |
print.summary.BGLM2 | Summarize a '"BGLM2"' object |
print.summary.fit_bglm | Summarize a '"fit_bglm"' object |
print.summary.fit_bglm2 | Summarize a '"fit_bglm2"' object |
print.summary.prev_BGLM | Summarize a '"prev_BGLM"' object |
print.summary.prev_fit_bglm | Summarize a '"prev_fit_bglm"' object |
resamp_res_Param_BayesGLM | resamp_res |
return_INLA_Param | return_INLA |
scale_BOLD | Scale the BOLD timeseries |
scale_BOLD_Param | scale_BOLD |
scrub_Param_BayesGLM | scrub |
seed_Param | seed |
session_names_Param | session_names |
summary.act_BGLM | Summarize a '"act_BGLM"' object |
summary.act_fit_bglm | Summarize a '"act_fit_bglm"' object |
summary.BGLM | Summarize a '"BGLM"' object |
summary.BGLM2 | Summarize a '"BGLM2"' object |
summary.fit_bglm | Summarize a '"fit_bglm"' object |
summary.fit_bglm2 | Summarize a '"fit_bglm2"' object |
summary.prev_BGLM | Summarize a '"prev_BGLM"' object |
summary.prev_fit_bglm | Summarize a '"prev_fit_bglm"' object |
surfaces_Param_BayesGLM | surfaces |
trim_INLA_Param | trim_INLA |
TR_Param_BayesGLM | TR |
verbose_Param | verbose |
vertex_areas | Surface area of each vertex |
vertices_Param | vertices |
vol2spde | Construct a triangular mesh from a 3D volumetric mask |