Usage
generateNetwork(lambda_2 = 0.45, q = 10, min_phase_length = 1, k_bar = 5, l = 10, lambda_3 = 2, spacing = 1, gauss_weights = TRUE, same = FALSE, change_method = "sequential", fixed = FALSE, cps = NULL)
Arguments
lambda_2
Average number of parents for each node in the network
(parameter for a Poisson distribution).
min_phase_length
Minimum segment length.
k_bar
Maximum number of changepoints. If fixed=TRUE
, this is
equal to the number of changepoints.
l
Length of the time series.
lambda_3
Average number of structure changes between two segments
(parameter for a Poisson distribution).
spacing
1
if segments are equally spaced, 0
if they are
spaced randomly (subject to the constraints of min_phase_length).
gauss_weights
1
if edge weights in the network are drawn from
N(0, 1), 0
if they are fixed to be 1.
same
1
if all segments have the same network structure (no
changes), 0
otherwise.
change_method
'sequential'
if the changes happen sequentially
(i.e. changes at segment i are applied to segment i-1),
'hierarchical'
if the changes happen with respect to a hypernetwork
(i.e. changes at segment i are applied to segment 0).
fixed
T
if the changepoint locations are fixed, F
if
they should be sampled.
cps
Changepoint locations (if they are fixed).