newCounts: Construct an object of class Counts

In dupiR: Bayesian inference from count data using discrete uniform priors

Description

Construct an object of class Counts

Usage

newCounts(counts, fractions)

Arguments

counts	An integer vector of positive numbers (counts). Mandatory for object initialization.
fractions	A numeric vector of the corresponding sampling fractions (real numbers in (0,1]). Mandatory for object initialization.

Value

Returns an object of class Counts.

Author(s)

Federico Comoglio, [e-mail]

References

Comoglio F, Fracchia L and Rinaldi M (2013) Bayesian inference from count data using discrete uniform priors. PLOS ONE, to appear

See Also

Counts

Examples

K <- newCounts( counts = c(20,30), fractions = c(0.075, 0.10))
K
#or (a little bit more informative):
summary(K)

dupiR documentation built on May 2, 2019, 3:43 a.m.