Evaluate the probability mass function of a NegativeBinomial distribution
# S3 method for NegativeBinomial
pdf(d, x, drop = TRUE, elementwise = NULL, ...)# S3 method for NegativeBinomial
log_pdf(d, x, drop = TRUE, elementwise = NULL, ...)
In case of a single distribution object, either a numeric
vector of length probs (if drop = TRUE, default) or a matrix with
length(x) columns (if drop = FALSE). In case of a vectorized distribution
object, a matrix with length(x) columns containing all possible combinations.
A NegativeBinomial object created by a call to
NegativeBinomial().
A vector of elements whose probabilities you would like to
determine given the distribution d.
logical. Should the result be simplified to a vector if possible?
logical. Should each distribution in d be evaluated
at all elements of x (elementwise = FALSE, yielding a matrix)?
Or, if d and x have the same length, should the evaluation be
done element by element (elementwise = TRUE, yielding a vector)? The
default of NULL means that elementwise = TRUE is used if the
lengths match and otherwise elementwise = FALSE is used.
Arguments to be passed to dnbinom.
Unevaluated arguments will generate a warning to catch mispellings or other
possible errors.
Other NegativeBinomial distribution:
cdf.NegativeBinomial(),
quantile.NegativeBinomial(),
random.NegativeBinomial()
set.seed(27)
X <- NegativeBinomial(size = 5, p = 0.1)
X
random(X, 10)
pdf(X, 50)
log_pdf(X, 50)
cdf(X, 50)
quantile(X, 0.7)
## alternative parameterization of X
Y <- NegativeBinomial(mu = 45, size = 5)
Y
cdf(Y, 50)
quantile(Y, 0.7)
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