SIMle (version 0.1.0)

series.predict: 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
)

Value

predictive values for time series

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