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intamap (version 1.3-21)

generateTimeModels: Generate time models

Description

function that generates time models and saves them in workspace.

Usage

generateTimeModels(genClasses = NULL, noGenClasses = NULL, nSam = 1, test = FALSE,
             debug.level = 0)

Arguments

genClasses
list of particular classes for which time models should be generated
noGenClasses
list of particular classes for which time models should not be generated
nSam
number of attempts to be tried for each combination of predictions and observations, defaults to 1, higher number should be used for better accuracy. nSam/2 is used for copulas, to reduce computation time.
test
logical; if true, the time models are generated based on fewer iterations, for speed
debug.level
if debug.level >= 1, the function will store tables with the prediction times for each model in the workspace.

Value

Details

This function calculates a time model for different interpolation types in the intamap-package and returns a list object with the estimated models. It's users responsibility to store the model in the workspace. The normal procedure would be to run the function without arguments. However, it is both possible to define a list for which classes the user want to generate models, or a list of classes that are not of interest. The time model is based on creation of a set of synthetical data sets of different size, both regarding number of observations and prediction locations. The function will estimate parameters and make predictions with the different combinations, and for each method, fit a local polynomial regression model (loess) This model can then be used by predictTime to estimate the prediction time for an interpolation request with a certain number of observations and prediction locations.

Examples

Run this code
timeModels=generateTimeModels()
q("yes")
## restart R in the same directory

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