convergenceplot: convergencePlot function for visualizing genetic algorithm in...

In jchrszcz/gemmR: General Monotone Model

Description

This function plots convergence for gemm objects that were called with the "check.convergence" argument.

Usage

  convergencePlot(beta, fit.metric, ...)

Arguments

beta	matrix of BIC values for the best model in each generation.
fit.metric	selected metric for a given model, specified when gemm is run.
...	Additional arguments to be passed to lower level plotting functions.

Details

Generally does not work well with n.chains < 10.

Examples

  data(mtcars)
  gemm.model <- gemm(mpg ~ disp + hp, data = mtcars, check.convergence = TRUE,
    seed.metric = FALSE, n.chains = 3, n.gens = 3, n.beta = 200)
  with(gemm.model, convergencePlot(converge.fit.metric, fit.metric))

jchrszcz/gemmR documentation built on May 18, 2019, 10:24 p.m.