fold_dt: Widens the dataset to take into account the t previous time...
In dbnR: Dynamic Bayesian Network Learning and Inference
View source: R/dt_modification.R
fold_dt R Documentation
Widens the dataset to take into account the t previous time slices
Description
This function will widen the dataset to put the t previous time slices
in each row, so that it can be used to learn temporal arcs in the second
phase of the dmmhc.
Usage
fold_dt(dt, size)
Arguments
dt
the data.table to be treated
size
number of time slices to unroll. Markovian 1 would be size 2
Value
the extended data.table
Examples
data(motor)
size <- 3
f_dt <- fold_dt(motor, size)
dbnR documentation built on June 22, 2024, 10:54 a.m.
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View source: R/dt_modification.R
| fold_dt | R Documentation |
Widens the dataset to take into account the t previous time slices
Description
This function will widen the dataset to put the t previous time slices in each row, so that it can be used to learn temporal arcs in the second phase of the dmmhc.
Usage
fold_dt(dt, size)
Arguments
dt |
the data.table to be treated |
size |
number of time slices to unroll. Markovian 1 would be size 2 |
Value
the extended data.table
Examples
data(motor)
size <- 3
f_dt <- fold_dt(motor, size)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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