Models.dist.default: Create a Distance Matrix of Fitted Models

In thomasWeise/processMineR.modelDist: An R Package for Computing Distance Matrices from Models

Description

A distance matrix is constructed which represents the distances between the models. For each model. This method represents the default approach for that, which current is Models.dist.rank.local.mean.

Usage

Models.dist.default(models, distance = RegressionResult.dist.default,
  cores = 1L, logging = FALSE)

Arguments

models	the models records
distance	the RegressionResult-to-RegressionResult distance metric
cores	the number of CPU cores to use
logging	the logging setup, see makeLogger

Value

an instance of dist

See Also

Models.dist.rank.mean

thomasWeise/processMineR.modelDist documentation built on May 29, 2019, 3:18 p.m.