mise: Mean integrated squared error

In deamer: Deconvolution density estimation with adaptive methods for a variable prone to measurement error

Description

Computes the mean integrated squared error between a theoretical density and an estimate given by deamer

Usage

mise(density, obj)

Arguments

density	a theoretical density. Should be a single argument function
obj	an object of class 'deamer'. See deamer-class.

Value

Returns the value (scalar) of the mean integrated squared error.

Note

This function is mainly for simulation and comparison of methods.

Author(s)

Julien Stirnemann <[e-mail]>

See Also

deamerKE,deamerSE,deamerRO, deamer, deamer-class

Examples

 n=1000
 x <- rchisq(n, df=3)
 e <- rnorm(n,0,0.1)
 y <- x + e
 estimate <- deamerKE(y, noise.type="gaussian", sigma=0.1)
 f_th <- function(x) dchisq(x, df=3)
 
 mise(f_th, estimate)
 

deamer documentation built on May 2, 2019, 12:36 p.m.