This function predicts the next ahead
states and data points based on
an fHMM_model
object.
Usage
# S3 method for fHMM_model
predict(object, ahead = 5, alpha = 0.05, ...)
Arguments
- object
An object of class
fHMM_model
.- ahead
A positive
integer
, the forecast horizon.- alpha
A
numeric
between 0 and 1, the alpha level for the confidence interval. By default,alpha = 0.05
, which computes a 95% confidence interval.- ...
Ignored.
Examples
predict(dax_model_3t)
#> state_1 state_2 state_3 lb estimate ub
#> 1 0.97511 0.02489 0.00000 -0.01072 0.00123 0.01318
#> 2 0.95133 0.04854 0.00013 -0.01100 0.00119 0.01339
#> 3 0.92862 0.07099 0.00039 -0.01127 0.00116 0.01359
#> 4 0.90693 0.09232 0.00075 -0.01154 0.00112 0.01378
#> 5 0.88621 0.11257 0.00123 -0.01179 0.00109 0.01397