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BayesfMRI  

Spatial Bayesian Methods for Task Functional MRI Studies
View on CRAN: Click here


Download and install BayesfMRI package within the R console
Install from CRAN:
install.packages("BayesfMRI")

Install from Github:
library("remotes")
install_github("cran/BayesfMRI")

Install by package version:
library("remotes")
install_version("BayesfMRI", "0.11.0")



Attach the package and use:
library("BayesfMRI")
Maintained by
Amanda Mejia
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-06-08
Latest Update: 2025-03-07
Description:
Performs a spatial Bayesian general linear model (GLM) for task functional magnetic resonance imaging (fMRI) data on the cortical surface. Additional models include group analysis and inference to detect thresholded areas of activation. Includes direct support for the 'CIFTI' neuroimaging file format. For more information see A. F. Mejia, Y. R. Yue, D. Bolin, F. Lindgren, M. A. Lindquist (2020) and D. Spencer, Y. R. Yue, D. Bolin, S. Ryan, A. F. Mejia (2022) .
How to cite:
Amanda Mejia (2023). BayesfMRI: Spatial Bayesian Methods for Task Functional MRI Studies. R package version 0.11.0, https://cran.r-project.org/web/packages/BayesfMRI. Accessed 25 Jun. 2026.
Previous versions and publish date:
0.3.5 (2023-06-08 19:52), 0.3.11 (2023-12-18 09:50), 0.10.1 (2025-03-08 00:50)
Other packages that cited BayesfMRI R package
View BayesfMRI citation profile
Other R packages that BayesfMRI depends, imports, suggests or enhances
Complete documentation for BayesfMRI
Functions, R codes and Examples using the BayesfMRI R package
Some associated functions: AICc . BayesGLM . BayesGLM2 . BayesGLM_argChecks . BayesGLM_cifti . Bayes_Param . ELL . EM_Param . F.logwt . GLMEM_fixptseparate . GLMEM_objfn . HRF . INLA_Description . INLA_deps . Q_prime . TrQEww . TrQbb . TrSigB . act_prevalance . aic_Param . ar_order_Param . ar_smooth_Param . beta.posterior.thetasamp . cAIC . cderiv . check_INLA . cholQsample . combine_sessions_Param . contrasts_Param . create_listRcpp . dot-findTheta . dot-getSqrtInvCpp . dot-initialKP . dot-logDetQt . emTol_Param . extract_estimates . faces_Param . galerkin_db . get_posterior_densities . id_activations.classical . id_activations . id_activations.posterior . init_fixpt . init_objfn . is.BfMRI.sess . is.a_session . kappa_init_fn . make_HRFs . make_Q . make_data_list . make_mask . make_mesh . mask_Param_vertices . max.threads_Param . mesh_Param_either . mesh_Param_inla . neg_kappa_fn . neg_kappa_fn2 . neg_kappa_fn3 . neg_kappa_fn4 . num.threads_Param . organize_data . organize_data_pw . organize_replicates . plot.BayesGLM2_cifti . plot.BayesGLM_cifti . plot.act_BayesGLM_cifti . plot.prev_BayesGLM_cifti . prep_kappa2_optim . pw_estimate . pw_smooth . qsample . retro_mask_BGLM . retro_mask_mesh . return_INLA_Param . s2m . s2m_B . scale_BOLD_Param . scale_design_Param . scale_design_mat . seed_Param . session_names_Param . spde_Q_phi . submesh . summary.BayesGLM . summary.BayesGLM2 . summary.BayesGLM2_cifti . summary.BayesGLM_cifti . summary.act_BayesGLM . summary.act_BayesGLM_cifti . summary.prev_BayesGLM . summary.prev_BayesGLM_cifti . task_names_Param . trim_INLA_Param . trim_INLA_model_obj . verbose_Param . vertex_areas . vertices_Param . 
Some associated R codes: BayesGLM.R . BayesGLM2.R . BayesGLM2_utils.R . BayesGLM_cifti.R . BayesGLM_utils.R . BayesfMRI-package.R . EM_utils.R . F.logwt.R . INLA_deps.R . RcppExports.R . act_prevalence.R . act_prevalence_utils.R . cAIC.R . create_spde_vol3D.R . id_activations.R . id_activations_utils.R . is.BfMRI.sess.R . make_HRFs.R . make_mesh.R . organize_data.R . organize_replicates.R . plot.R . prewhitening.R . retro_mask.R . rox_args_docs.R . scale_design_mat.R . trim_INLA_model_obj.R . util.R . vertex_areas.R .  Full BayesfMRI package functions and examples
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