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VBA is a fully Bayesian toolbox for model-based data analyses.
Most computational models can be broken down into processes that evolve over time and static observation mappings. Given these evolution and observation mappings, the toolbox can be used to simulate data, perform statistical data analysis, optimize the experimental design, etc... In short, this toolbox relies upon a probabilistic approach to model-based analysis of multivariate time series. It provides:
- plug-and-play tools for classical statistical tests
- a library of computational models of behavioural and neurobiological data time series
- quick and efficient probabilistic inference techniques for parameter estimation and model comparison (+ experimental design optimization)
- graphical visualization of results (+ advanced diagnostics of model inversion)
Note: The VBA toolbox is a collaborative project. Please contact us if you want to contribute. You can also fork the repo from Github and ask us to pull your contribution.
Cite As
Jean Daunizeau (2024). MBB-team/VBA-toolbox (https://github.com/MBB-team/VBA-toolbox), GitHub. Retrieved .
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- VBA_BMA
- VBA_BPA
- VBA_designEfficiency
- VBA_EKF
- VBA_getLaplace
- VBA_getNoise
- VBA_groupBMC
- VBA_groupBMC_btwConds
- VBA_groupBMC_btwGroups
- VBA_hyperparameters
- VBA_LMEH0
- VBA_main
- VBA_MCMC_predictiveDensity
- VBA_MCMC_predictiveDensity_fb
- VBA_MFX
- VBA_NLStateSpaceModel
- VBA_optimPriors
- VBA_PRESS
- VBA_ReDisplay
- VBA_setup
- VBA_simulate
- VBA_version
core
- VBA_check
- VBA_check4DCM
- VBA_check_errors
- VBA_defaultPriors
- VBA_disp
- VBA_evalFun
- VBA_fillInPriors
- VBA_FreeEnergy
- VBA_getDefaults
- VBA_getU
- VBA_get_dL
- VBA_GN
- VBA_Hpost
- VBA_Initialize
- VBA_Iphi
- VBA_Iphi_binomial
- VBA_Iphi_extended
- VBA_Iphi_split
- VBA_Iphi_UNL
- VBA_Itheta
- VBA_IX0
- VBA_IX_lagged
- VBA_IX_lagged_binomial
- VBA_microTime
- VBA_multisession_expand
- VBA_multisession_factor
- VBA_odeLim
- VBA_odeLim2NLSS
- VBA_onlineWrapper
- VBA_VarParam
- VBA_wrapup
core/diagnostics
core/display
- displayResults
- displaySimulations
- getColors
- getPanel
- MoveAxisToOrigin
- Plot3AxisAtOrigin
- PlotAxisAtOrigin
- plotDensity
- plotElipse
- plotGraph3D
- plotUncertainTimeSeries
- plotVolterra
- rotateXLabels
- VBA_Bin2Cont
- VBA_classification_display
- VBA_displayGrads
- VBA_displayGroupBMC
- VBA_displayGroupBMCbtw
- VBA_displayMFX
- VBA_figure
- VBA_initDisplay
- VBA_pause
- VBA_summary
- VBA_summaryMFX
- VBA_title
- VBA_updateDisplay
core/sugar
core/unormalizedLikelihood
demos/0_basics
- demo_dynamicalSystem
- demo_excludeData
- demo_modelComparison
- demo_multisession
- demo_sources
- demo_staticModel
demos/1_advanced
- demo_delays.m
- demo_designOptimization
- demo_MCsampling.m
- demo_MFX
- demo_noiseAR1
- demo_RFX.m
- demo_stochasticModel
- demo_susceptibility.m
- demo_trainTest.m
- demo_VolterraKernels
demos/2_statistics
- demo_CI.m
- demo_covComp.m
- demo_generalizability.m
- demo_GLM
- demo_GLM_missingData.m
- demo_groupbtw.m
- demo_KalmanSmoother.m
- demo_LinDecomp.m
- demo_logisticRegression
- demo_mediation.m
- demo_redundancy.m
- demo_RFT.m
- demo_RFT_GLM.m
- demo_sparsityPrior
- VBA_LinDecomp
demos/3_behavioural
- demo_2DChoices.m
- demo_asymRW.m
- demo_AVL_recog.m
- demo_BSL
- demo_discounting.m
- demo_dynLearningRate.m
- demo_influenceLearning.m
- demo_Kalman4bandits
- demo_Qlearning
- demo_QlearningAsymmetric
- demo_QlearningSimulation
- demo_recur.m
- demo_ToMgames.m
- demo_VBfree.m
- demo_volatileVB.m
- demo_wsls.m
demos/4_neural
- compHRFs.m
- demo_2DneuralField.m
- demo_behaviouralDCM
- demo_CaBBI_FHN.m
- demo_CaBBI_QGIF.m
- demo_dcm4fmri.m
- demo_dcm4fmri_distributed.m
- demo_dcmonline.m
- demo_dcm_1region.m
- demo_dcm_motorPremotor.m
- demo_FHN.m
- demo_fitzhugh.m
- demo_HodgkinHuxley
- demo_HRF.m
- demo_HRF_distributed.m
- demo_HRF_dummy.m
- demo_lin2D.m
- demo_micro2macro.m
- demo_negfeedback
- demo_PSP
- demo_stability_HRF.m
demos/5_classification
demos/6_physics
- demo_2Dlin.m
- demo_doubleWell
- demo_Lorenz.m
- demo_LV2D.m
- demo_Oscillatory.m
- demo_Rossler.m
- demo_SHC.m
- demo_VanDerPol.m
demos/7_mathematics
demos/_models
- evolution0bisND
- f_2d
- f_2DneuralField
- f_2dwu
- f_alpha
- f_AR
- f_ARn
- f_ARplus
- f_AVL
- f_BSL
- f_BSLinGame
- f_CaBBI_FHN
- f_CaBBI_QGIF
- f_dbw
- f_dcm4fmri
- f_dcm4fmri0
- f_DCMwHRF
- f_DCMwHRFext
- f_dcm_extension
- f_dcm_withU
- f_doubleWell
- f_embed
- f_embed0
- f_embedAR
- f_FitzHughNagumo
- f_FitzHughNagumo_calcium
- f_fullDCM4fmri
- f_gen
- f_Hampton
- f_Henon
- f_HGFinGame
- f_HH
- f_HRF
- f_HRF2
- f_HRF3
- f_Id
- f_Kalman4bandits
- f_kToM
- f_L1
- f_lin1D
- f_lin2D
- f_Lorenz
- f_LotkaVolterra
- f_LV2D
- f_metaToM
- f_OpLearn
- f_PSP
- f_Qlearn
- f_Qlearn2
- f_Qlearning
- f_QlearningAsym
- f_Qlearn_dynLR
- f_Qlearn_gammaLR
- f_replicator
- f_RLinGame
- f_Rossler
- f_rwl
- f_rwl2
- f_SHC
- f_vanDerPol
- f_VBfree
- f_VBvolatile0
- f_vgo
- f_wsls
- f_wslsinGame
- g_2AFC_basis
- g_AVL
- g_BSL
- g_BSLinGame
- g_CaBBI
- g_classif
- g_classif0
- g_conv0
- g_convSig
- g_convSig_approx
- g_conv_approx
- g_DCMwHRFext
- g_demo_extended
- g_demo_susceptibility
- g_DG2
- g_discounting
- g_DoubleGamma
- g_dummy
- g_embed
- g_embedAR
- g_ERP
- g_ERP_reduced
- g_exp
- g_exp2d
- g_ExpUtil
- g_Fourier
- g_fullDCM4fmri
- g_GammaDensity
- g_Gaussian
- g_GLM
- g_GLM4decoding
- g_GLMsparse
- g_GLMsparseAdapt
- g_GLM_missingData
- g_goNogo
- g_Hampton
- g_HGFinGame
- g_HRF3
- g_HRF_distributed
- g_Id
- g_Id_phi
- g_ip
- g_Kalman4bandits
- g_kToM
- g_LinDecomp
- g_logistic
- g_matmap
- g_metaToM
- g_mixU
- g_NI
- g_nl0
- g_odds
- g_odds2
- g_QLearning
- g_rbf
- g_RFX
- g_rigid2D
- g_sig
- g_sigm
- g_sigmoid
- g_sigm_binomial
- g_sig_u
- g_softmax
- g_softmax4decoding
- g_ttest
- g_u2c
- g_u2p
- g_Udummy
- g_VBvolatile0
- g_vgo
- g_wrap_perseveration
- h_goNogo
- h_Id
- h_randOutcome
- h_truefalse
- h_whichItem
- ObsRecGen
- U_dummy
- v_discounting
legacy
- checkGX_binomial
- cov2corr
- empiricalHist
- GaussNewton
- getHyperpriors
- getSubplots
- get_MCMC_predictiveDensity
- get_MCMC_predictiveDensity_fb
- invsigmoid
- invSparsify
- isbinary
- isweird
- iswithin
- numericDiff
- sampleFromArbitraryP
- sgm
- sig
- sigm
- sigmoid
- simulateNLSS
- simulateNLSS_fb
- sparseTransform
- sparsify
- VBA_getISqrtMat
- VBA_groupBMCbtw
- VBA_sample
- vec
legacy/trashbin
- compare_struct
- create2dbf
- ERP_dcm
- extractFIR
- getFamily
- get_ARcov
- gridL_binomial
- hatch
- isHrfStable
- logExp
- smooth2
modules/DCM
- addConfounds2dcm
- BOLD_parameters
- dcm2vba
- defaultHRFparams
- extend_dcm
- getOptions4dcm
- getPriors
- get_HRFparams
- get_U_basis
- prepare_dcm
- prepare_fullDCM
- u_Fourier
- u_FourierComplete
- u_GaussianBumps
- u_RBF
- vba2dcm
modules/GLM
- Contrast_MEbins
- GLM_contrast
- GLM_covComp
- GLM_tolerance
- lev_GLM
- mediationAnalysis0
- mediation_contrast
- PRESS_GLM
- SEM_analysis0
modules/OTO
modules/classical_statistics
modules/classification
modules/classification/BMM
modules/classification/CRP
modules/classification/GMM
modules/random_field_theory
- RFT_clusters
- RFT_Euler
- RFT_expectedTopo
- RFT_GLM_contrast
- RFT_Gtf
- RFT_localmax
- RFT_main
- RFT_Pval
- RFT_ReDisplay
- RFT_rescaling
- RFT_smoothness
modules/theory_of_mind
- defIndlev
- extractKernels
- fplayer
- get_VolterraInGames
- prepare_agent
- prepare_kToM
- prepare_metaToM
- RecToMfunction
- runGame_2players
- script_test_rec.m
- sizeXrec
- unwrapKTOM
sandbox
tests
tests/demos
tests/utils
thrid-party
thrid-party/spm
- spm_deconv
- VBA_spm_autocorr
- VBA_spm_cat
- VBA_spm_Ce
- VBA_spm_check_version
- VBA_spm_dcm_batch
- VBA_spm_dcm_buid
- VBA_spm_dcm_clone
- VBA_spm_dcm_display
- VBA_spm_dcm_explore
- VBA_spm_dcm_fmri_check
- VBA_spm_dcm_graph
- VBA_spm_dcm_test
- VBA_spm_defaults
- VBA_spm_detrend
- VBA_spm_diff
- VBA_spm_eeg_displayECD
- VBA_spm_eeg_render
- VBA_spm_existfile
- VBA_spm_Fcdf
- VBA_spm_fieldindices
- VBA_spm_figure
- VBA_spm_file
- VBA_spm_fileparts
- VBA_spm_gamrnd
- VBA_spm_getSNR
- VBA_spm_get_defaults
- VBA_spm_Gpdf
- VBA_spm_hrf
- VBA_spm_input
- VBA_spm_inv
- VBA_spm_invBcdf
- VBA_spm_invFcdf
- VBA_spm_invNcdf
- VBA_spm_invTcdf
- VBA_spm_length
- VBA_spm_logdet
- VBA_spm_log_evidence
- VBA_spm_matrix
- VBA_spm_mesh_adjacency
- VBA_spm_mesh_curvature
- VBA_spm_mesh_inflate
- VBA_spm_mesh_label
- VBA_spm_mesh_normals
- VBA_spm_mesh_project
- VBA_spm_mesh_render
- VBA_spm_Ncdf
- VBA_spm_Npdf
- VBA_spm_perm_mtx
- VBA_spm_platform
- VBA_spm_plot_ci
- VBA_spm_print
- VBA_spm_Q
- VBA_spm_read_vols
- VBA_spm_resample
- VBA_spm_sample_vol
- VBA_spm_sdcm_estimate
- VBA_spm_sdcm_estimate2
- VBA_spm_select
- VBA_spm_split_dcm
- VBA_spm_Tcdf
- VBA_spm_uitab
- VBA_spm_unlink
- VBA_spm_unvec
- VBA_spm_vec
- VBA_spm_vol
- VBA_spm_vol_nifti
- VBA_spm_Xadjust
- VBA_spm_XYZreg
utils
- VBA_abs
- VBA_accuracy
- VBA_bDCM_lesion
- VBA_binomial
- VBA_checkGN
- VBA_check_struct
- VBA_comparePredictions
- VBA_conv2glm
- VBA_cov2corr
- VBA_dcmMatrices
- VBA_dirichlet_moments
- VBA_ElogBeta
- VBA_Elogsig
- VBA_empiricalDensity
- VBA_EVprodX
- VBA_ExceedanceProb
- VBA_factorial_struct
- VBA_finiteBinomial
- VBA_fisher
- VBA_Fourier2DBF
- VBA_FtoR2
- VBA_GaussNewton
- VBA_getNtuples
- VBA_getSubplots
- VBA_getVar
- VBA_guessHyperpriors
- VBA_indicator
- VBA_inv
- VBA_invComplex
- VBA_isBinary
- VBA_isInRange
- VBA_issymmetric
- VBA_isWeird
- VBA_JensenShannon
- VBA_KL
- VBA_kstest
- VBA_logDet
- VBA_logSumExp
- VBA_maxMat
- VBA_nanmean
- VBA_nanvar
- VBA_ncfcdf
- VBA_numericDiff
- VBA_optimCost
- VBA_orth
- VBA_power
- VBA_PP0
- VBA_PPM
- VBA_prodX
- VBA_psi
- VBA_quantile
- VBA_r2
- VBA_random
- VBA_removeOutliers
- VBA_SavageDickey
- VBA_Shapley
- VBA_sigmoid
- VBA_sign
- VBA_softmax
- VBA_sparsifyPrior
- VBA_sqrtm
- VBA_susceptibility
- VBA_vec
- VBA_zscore
Versions that use the GitHub default branch cannot be downloaded
Version | Published | Release Notes | |
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1.0.0.0 | ... Includes additional features, e.g.:
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