d
is a generic function that evaluates the density function of a distribution object at given values.
# 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)
Vector of computed results.
distribution object.
vector of quantiles.
logical; if TRUE, probabilities
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.
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))
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