PTE (version 1.0)

summary.PTE_bootstrap_results: Print the results of a bootstrap model run to screen

Description

Prints p-values and confidence intervals to the screen for both the random and best business-as-usual allocation procedures.

Usage

# S3 method for PTE_bootstrap_results
summary(object, ...)

Arguments

object

An object of class ``PTE_bootstrap_results''.

...

Parameters that are ignored.

References

Kapelner, A, Bleich, J, Cohen, ZD, DeRubeis, RJ and Berk, R (2014) Inference for Treatment Regime Models in Personalized Medicine, arXiv

See Also

bootstrap_inference

Examples

	beta0 = 1
	beta1 = -1
	gamma0 = 0
	gamma1 = sqrt(2 * pi)
	mu_x = 0
	sigsq_x = 1
	sigsq_e = 1
	num_boot = 20 #for speed only
	n = 50 #for speed only
	
	x = sort(rnorm(n, mu_x, sigsq_x))
	noise = rnorm(n, 0, sigsq_e)
	
	treatment = sample(c(rep(1, n / 2), rep(0, n / 2)))
	y = beta0 + beta1 * x + treatment * (gamma0 + gamma1 * x) + noise
	
	X = data.frame(treatment, x)
	
	res = bootstrap_inference(X, y,
			"lm(y ~ . + treatment * ., data = Xyleft)",
			num_cores = 1,
			B = num_boot, 
			plot = FALSE)
	summary(res)