splitTrainTest

<p>The number of observations to keep in the training set</p>

numTrain

<p>Given a time series, this function splits it into two, depending on the length of numTrain.
  The first numTrain observations go to the training set, the remainder into the testing set,
  while retaining the time series attributes of both objects and correctly adjusting the start times
  and frequencies of both sets.</p>

datagen

Functions for computing optimal convex combinations of
model selection criteria based on ranks, along with utility
functions for constructing model lists, MSCs, and priors on
model lists.

splitTrainTest: Split a time series into training and testing sets

Description

Usage

Arguments