mistr (version 0.0.2)

d.compdist: Density Function

Description

d is a generic function that evaluates the density function of a distribution object at given values.

Usage

# S3 method for compdist
d(O, x, log = FALSE)
# S3 method for trans_compdist
d(O, x, log = FALSE)
# S3 method for mixdist
d(O, x, log = FALSE)
# S3 method for trans_mixdist
d(O, x, log = FALSE)
d(O, x, log = FALSE)
# S3 method for standist
d(O, x, log = FALSE)
# S3 method for trans_contdist
d(O, x, log = FALSE)
# S3 method for trans_discrdist
d(O, x, log = FALSE)

Arguments

O

distribution object.

x

vector of quantiles.

log

logical; if TRUE, probabilities \(p\) are given as \(log(p)\), default: FALSE.

Value

Vector of computed results.

Details

Methods of d function evaluates any offered distribution from the package mistr. The function makes use of the d[sufix] functions as dnorm or dbeta and thus, if a new distribution is added, these functions must be reachable through the search path.

Examples

# NOT RUN {
N <- normdist(1, 3)
d(N, c(NA, 1, 3, 5))

C <- cauchydist()
M <- mixdist(N, C, weights = c(0.5, 0.5))
d(M, c(NA, 1, 3, 5))

CC <- compdist(N, C, weights = c(0.5, 0.5), breakpoints = 1)
CCC <- 2*C+5
d(CCC, c(NA, 1, 3, 5))
# }