demoIboss: Customized Simulation Functions, returns MSE and plots

In shuaih0303/IBOSS: An implementation of information based optimal subsampling method.

Description

Customized Simulation Functions, returns MSE and plots

Usage

demoIboss(case = NULL, n = NULL, k = NULL, p = NULL, rept = NULL,
  compare = F)

Arguments

case	integer. Choose distribution of predictors.
n	integer. Full sample size, can be either scalar or vector.
k	integer. Subsample size, can be either scalar or vector.
p	integer. Number of predictors.
rept	integer. Repetition times.
compare	logical. Default is TRUE. If TURE, returns table of MSEs comparing IBOSS to FULL, UNI, and LEV methods, plots will be drawn. At least one of n and k has to be integer. IF false, return IBOSS result only. No restrictions on n and k.

Value

A list.

mse0	MSE matrix for intercept terms
mse1	MSE matrix for slope terms
mse0_plot	plot of mse0, use plot(mse0_plot) to display
mse1_plot	plot of mse1, use plot(mse1_plot) to display

@examples ## Not run: # For normal predictor simulations # fixed k, varing n ---- IBOSS::demoIboss(case = 1, n = c(5000, 10^4, 10^5, 10^6), k = 1000, p = 50, rept = 1000, compare = T) # fixed n, varing k ---- IBOSS::demoIboss(case = 1, n = c(10^6), k = c(200, 400, 500, 1000, 2000, 3000, 5000), p = 50, rept = 1000, compare = T) ## End(Not run)

shuaih0303/IBOSS documentation built on Nov. 17, 2019, 2:55 a.m.