dnorMix: Normal Mixture Density

In nor1mix: Normal aka Gaussian 1-d Mixture Models

Normal Mixture Density

Description

Evaluate the density function of the normal mixture specified as norMix object.

Usage

dnorMix (x, obj,        log = FALSE)

dnorMixL(obj, x = NULL, log = FALSE, xlim = NULL, n = 511)
dpnorMix(x, obj, lower.tail = TRUE)

Arguments

obj	an object of class norMix.
x	numeric vector with abscissa values where to evaluate the density (and probability, for dpnorMix()). For dnorMixL() by default, when NULL, it is constructed from n (and xlim if that is specified).
log	logical indicating log-density values should be returned.
xlim	range of abscissa values, used if x == NULL. By default, xlim is taken as mean plus/minus 3 standard deviations of the normal mixture.
n	number of abscissa values to generate if x is not specified.
lower.tail	logical; if TRUE (default), probabilities are P[X \le x], otherwise, P[X > x].

Value

dnorMix(x) returns the numeric vector of density values f(x), logged if log is TRUE.

dnorMixL() returns a list with components

x	the abscissa values.
y	the density values f(x) as for dnorMix().

dpnorMix() returns a list with components

d	the density values f(x) as for dnorMix().
p	the probability values F(x) as for pnorMix().

See Also

rnorMix for random number generation, and norMix for the construction and further methods, particularly plot.norMix which makes use dnorMix.

Examples

 ff <- dnorMixL(MW.nm7)
 str(ff)
 plot(ff, type = "h", ylim = c(0,1)) # rather use plot(ff, ...)

 x <- seq.int(-4,5, length.out = 501)
 dp <- dpnorMix(x, MW.nm7)
 lines(x, dp$d, col = "tomato", lwd=3)
 lines(x, dp$p, col = 3, lwd=2)# does not fit y-wise
 stopifnot(all.equal(dp$d, dnorMix(x, MW.nm7), tolerance=1e-12),
           all.equal(dp$p, pnorMix(x, MW.nm7), tolerance=1e-12))

nor1mix documentation built on May 29, 2024, 8:28 a.m.