series.predict {SIMle} | R Documentation |
Predicting time series with 1 step
Description
This function predicts the time series data basis on the estimation.
Usage
series.predict(
ts,
c,
d,
b_time,
b_timese,
mp_type,
r = 1,
s = 1,
n_esti = 2000
)
Arguments
ts |
ts is the data set which is a time series data typically |
c |
number of basis for time input |
d |
number of basis for variate input |
b_time |
type of basis for time input |
b_timese |
type of basis for variate input |
mp_type |
select type of mapping function, "algeb" indicates algebraic mapping on the real line. "logari" represents logarithmic mapping on the real line |
r |
indicates number of variate |
s |
s is a positive scaling factor, the default is 1 |
n_esti |
number of points for estimation, the default is 2000 |
Value
predictive values for time series
[Package SIMle version 0.1.0 Index]