Description Usage Arguments Value Author(s) See Also Examples
For a given model and a list of parameters specified as param = c(lower,upper,length)
,
create.grid
creates a grid of initial values for algo.hhh.grid
.
The resulting matrix contains all combinations of the supplied parameters
which each are a sequence of length length
from lower
to
upper
.
Note that the autoregressive parameters λ, φ and the
overdispersion parameter ψ must be positive.
Only one sequence of initial values is considered for the autregressive,
endemic and overdispersion parameters to create the grid,
e.g. initial values are the same
for each one of the seasonal and trend parameters.
1 2 |
disProgObj |
object of class |
control |
specified model |
params |
list of parameters:
|
matrix |
matrix with |
M. Paul
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | # simulate data
set.seed(123)
disProgObj <- simHHH(control = list(coefs = list(alpha =-0.5, gamma = 0.4,
delta = 0.6)),length=300)$data
# consider the model specified in a control object for algo.hhh.grid
cntrl1 <- list(lambda=TRUE, neighbours=TRUE,
linear=TRUE, nseason=1)
cntrl2 <- list(lambda=TRUE, negbin="single")
# create a grid of initial values for respective parameters
grid1 <- create.grid(disProgObj, cntrl1,
params = list(epidemic=c(0.1,0.9,3),
endemic=c(-1,1,3)))
grid2 <- create.grid(disProgObj, cntrl2,
params = list(epidemic=c(0.1,0.9,5),
negbin=c(0.3,12,10)))
|
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