dbnR0.8.0 package

Returns a vector with the number of consecutive nodes in each level

Adds the mu vector and sigma matrix as attributes to the bn.fit or dbn...

Calculate the AIC of a dynamic Bayesian network

Calculate the AIC of a dynamic Bayesian network

Check if two fitted networks are equal to each other

Check if two network structures are equal to each other

Performs approximate inference in a time slice of the dbn

Performs approximate inference forecasting with the GDBN over a datase...

Converts a single row data.table into a named vector

Convert a network structure into a model string

Calculate the BIC of a dynamic Bayesian network

Calculate the BIC of a dynamic Bayesian network

Experimental function that translates a natPosition vector into a DBN ...

Calculate the mu vector of means of a Gaussian linear network. This is...

Calculate the mu vector from a fitted BN or DBN

Calculate the sigma covariance matrix of a Gaussian linear network. Th...

Calculate the sigma covariance matrix from a fitted BN or DBN

Replacement function for parameters inside DBNs

R6 class that defines causal lists in the PSO

Checks if the vector of names are time formatted to t_0

Create a matrix with the arcs defined in a causlist object

Extracts the coefficients of a DBN

Creates the blacklist of arcs from a folded data.table

Create a causal list from a DBN. This is the C++ backend of the functi...

Create a natural causal list from a DBN. This is the C++ backend of th...

If the names of the nodes have "_t_0" appended at the end, remove it

Multiply a Velocity by a constant real number

Calculates the degree of a list of nodes

Calculates the degree of a list of nodes

Calculates the degree of a list of nodes

Calculates the degree of a list of nodes

Calculates the degree of a list of nodes

Learns the structure of a markovian n DBN model from data

Gets the ordering of a single time slice in a DBN

Performs exact inference smoothing with the GDBN over a dataset

Performs exact inference forecasting with the GDBN over a dataset

Performs exact inference in a time slice of the dbn

Extends the names of the nodes in t_0 to t_(max-1)

Filter the instances in a data.table with different ids in each row

Fold a dataset avoiding overlapping of different time series

Fits a markovian n DBN model

Extracts the fitted values of a DBN

Widens the dataset to take into account the t previous time slices

Widens the dataset to take into account the t previous time slices

Performs forecasting with the GDBN over a dataset

Generate a random DBN and a sampled dataset

Initialize the nodes vector

Initialize the particles

Create a causality list and initialize it

Learns the structure of a markovian n DBN model from data

Calculate the log-likelihood of a dynamic Bayesian network

Calculate the log-likelihood of a dynamic Bayesian network

Average the parameters of multiple dbn.fit objects with identical stru...

Merges and replicates the arcs in the static BN into all the time-slic...

Performs inference over a multivariate normal distribution

Create a matrix with the arcs defined in a causlist object

Multiply a Velocity by a constant real number

Subtracts two natPositions to obtain the natVelocity that transforms p...

Add a velocity to a position

Adds two natVelocities

R6 class that defines causal lists in the PSO

R6 class that defines a Particle in the PSO algorithm

R6 class that defines DBNs as vectors of natural numbers

R6 class that defines the PSO controller

Learn a DBN structure with a PSO approach

R6 class that defines velocities in the PSO

Defines a level for every node in the net

Generates the names of the nodes in t_0 and in all the network

Relabel the names of the nodes of a BN or a DBN

Relabel the names of the nodes of a BN or a DBN

Relabel the names of the nodes of a BN or a DBN

Relabel the names of the nodes of a BN or a DBN

Relabel the names of the nodes of a BN or a DBN

Returns a list with the names of the nodes of a BN or a DBN

Returns a list with the names of the nodes of a BN or a DBN

Returns a list with the names of the nodes of a BN or a DBN

Returns a list with the names of the nodes of a BN or a DBN

Returns a list with the names of the nodes of a BN or a DBN

One-hot encoder for natural numbers without the 0

One hot encoder for natural numbers without the 0.

Generates the names of n variables.

R6 class that defines a Particle in the PSO algorithm

Plots a dynamic Bayesian network in a hierarchical way

Plots a Bayesian network in a hierarchical way

Plots a fitted dynamic Bayesian network

Plots a dynamic Bayesian network

Subtracts two Positions to obtain the Velocity that transforms one int...

Add a velocity to a position

R6 class that defines DBNs as causality lists

Performs inference over a fitted GBN

Performs inference over a test dataset with a GBN

Performs inference in every row of a dataset with a DBN

Print method for "dbn.fit" objects

Print method for "dbn" objects

R6 class that defines the PSO controller

Learn a DBN structure with a PSO approach

Randomize a velocity with the given probabilities

Simulates random samples from a fitted DBN

Experimental function that recounts the number of arcs in the position

Reduce the frequency of the time series data in a data.table

Return a list of nodes with the time slice appended up to the desired ...

Returns the residuals from fitting a DBN

Computes the score of a BN or a DBN

Computes the score of a BN or a DBN

Computes the score of a BN or a DBN

Move the window of values backwards in a folded dataset row

Returns the standard deviation of the residuals from fitting a DBN

Performs smoothing with the GDBN over a dataset

Replacement function for parameters inside DBNs

Renames the columns in a data.table so that they end in '_t_0'

Geometric distribution sampler truncated to a maximum

Add two Velocities

R6 class that defines velocities affecting causality lists in the PSO