traveltimeCLT: Travel time estimation modeling using Central Limit Theorem

In AdrienHdz/traveltimeCLT: Estimate and predict travel time on road networks

Description

This function allows to calculate travel time estimation confidence intervals on the test set.

Usage

traveltimeCLT(
  data.train = NULL,
  M = NULL,
  L = NULL,
  bin = NULL,
  rules = NULL,
  data.timebins = NULL
)

Arguments

bin	Allows to select a specific timebin from the dataset.
rules	Need to represent a list containing, start, end, days and tag for each timebin of the dataset (see example).
data.timebins	A vector of strings that represent the different time-bins of the dataset.

Examples

predict.traveltimeCLT(obj.traveltime = traveltimeCLT, data.test = test, bin = "MR", rules = list(list(start='6:30', end= '9:00', days = 0:6, tag='MR'),list(start='15:00', end= '18:00', days = 0:6, tag='ER')))

AdrienHdz/traveltimeCLT documentation built on Dec. 31, 2020, 9:46 a.m.