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BayesfMRI
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", "0.10.1")
Attach the package and use:
library("BayesfMRI")
Maintained by
Amanda Mejia
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.BayesfMRI . https://github.com/mandymejia/BayesfMRI/issues . https://github.com/mandymejia/BayesfMRI . BayesfMRI citation info . BayesfMRI results . BayesfMRI.pdf . BayesfMRI_0.10.1.tar.gz . BayesfMRI_0.10.1.zip . BayesfMRI_0.10.1.zip . BayesfMRI_0.10.1.zip . BayesfMRI_0.10.1.tgz . BayesfMRI_0.10.1.tgz . BayesfMRI_0.10.1.tgz . BayesfMRI_0.10.1.tgz . BayesfMRI archive . https://CRAN.R-project.org/package=BayesfMRI .
First Published: 2023-06-08
Latest Update: 2023-12-18
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 0.10.1, https://cran.r-project.org/web/packages/BayesfMRI. Accessed 06 May. 2025.
Other packages that cited BayesfMRI R package
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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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