Dynamic Graphical Models
Performes a binomial test with FDR correction for network edge occurre...
Mean centers timeseries in a 2D array timeseries x nodes, i.e. each ti...
Threshold correlation matrix to match a given number of edges.
Mean correlation of time series across subjects.
A group is a list containing restructured data from subejcts for easie...
Quick diagnostics on delta.
Calculate the log predictive likelihood for a specified set of parents...
Calculate the location and scale parameters for the time-varying coeff...
C++ implementation of the dlm.lpl
A function for an exhaustive search, calculates the optimum value of t...
Get adjacency and associated likelihoods (LPL) and disount factros (df...
Checks results and returns job number for incomplete nodes.
Extract specific parent model with assocated df and ME from complete m...
Get model number from a set of parents.
Get winner network by maximazing log predictive likelihood (LPL) from ...
Plots network as adjacency matrix.
Merges forward and backward model store.
A function to generate all the possible models.
Network simulation data.
Runs exhaustive search on a single node and saves results in txt file.
A group is a list containing restructured data from subejcts for easie...
Patel.
Performance of estimates, such as sensitivity, specificity, and more.
Specify the priors. Without inputs, defaults will be used.
Comparing two population proportions on the network with FDR correctio...
Get pruned adjacency network.
Randomization test for Patel's kappa. Creates a distribution of values...
Reads single subject's network from txt files.
Reshapes a 2D concatenated time series into 3D according to no. of sub...
Removes diagonal of NA's from matrix.
Removes NAs from matrix.
Removes reciprocal connections in the lower diagnoal of the network ma...
Scaling data. Zero centers and scales the nodes (SD=1).
Stepise backward non-exhaustive greedy search, calculates the optimum ...
Stepise combine
Stepise forward non-exhaustive greedy search, calculates the optimum v...
Estimate subject's full network: runs exhaustive search on very node.
Turns asymetric network into an symmetric network. Helper function to ...
Comparing connectivity strenght of two groups with FDR correction.
Dynamic graphical models for multivariate time series data to estimate directed dynamic networks in functional magnetic resonance imaging (fMRI), see Schwab et al. (2017) <doi:10.1016/j.neuroimage.2018.03.074>.