LaMa (version 3.1.0)

predict.smoothdens: Estimated smooth densities

Description

Evaluates the smooth densities built with smoothdens for given spline coefficients, e.g. to plot the estimated state-dependent densities.

Usage

# S3 method for smoothdens
predict(object, coef, x = NULL, ...)

Value

list with the points x and the matrix density of densities, one row per point and one column per state

Arguments

object

object of class "smoothdens" for one data stream

coef

coefficient matrix, one row per state, without the last column fixed at zero

x

optional points to evaluate the densities at, defaults to the prediction grid object$xseq

...

unused

Examples

x = c(rnorm(100, 0, 1), rnorm(100, 5, 1))
dens = smoothdens(x, par = list(mean = c(0, 5), sd = c(1, 1)))
# densities at the initial coefficients
pred = predict(dens, coef = dens$coef)
matplot(pred$x, pred$density, type = "l", lty = 1)