Description Objects from the Class Slots Author(s) References See Also Examples
Definition of an object of this class requires a set of measurements, i.e. a collection of counts and sampling fractions. Inference of the posterior distribution by dupiR (computePosterior
) and subsequent call to getPosteriorParam
will fill all additional slots.
Objects should be created with calls to newCounts
.
counts
:Object of class "integer"
. An integer vector of positive numbers (counts). Mandatory for object initialization.
fractions
:Object of class "numeric"
. A numeric vector of the corresponding sampling fractions (real numbers in (0,1]). Mandatory for object initialization.
n1
:Object of class "numeric"
. Left endpoint of the prior support interval. If not provided and total counts are not zero, computed using the maximum likelihood estimate (mle) of the population size as 0.5 * mle.
n2
:Object of class "numeric"
. Right endpoint of the prior support interval. If not provided and total counts are not zero, computed using the maximum likelihood estimate (mle) of the population size as 2 * mle.
X
:Object of class "numeric"
. The product of (1 - fractions).
mle
:Object of class "numeric"
. The maximum likelihood estimate of the population size, computed as K/R, where K is the total counts and R is the total sampling fraction.
nconst
:Object of class "numeric"
. The normalization constant (see Corollary 1 in the reference for details).
posterior
:Object of class "ANY"
. A vector of posterior probabities over the prior support. It containes either the PMF or a logical value used to obtain posterior parameters with a Gamma approximation (see reference for details).
map.p
:Object of class "numeric"
. The maximum posterior probability.
map.idx
:Object of class "numeric"
. The index of the prior support corresponding to the maximum a posteriori (MAP), i.e. MAP - n1 + 1.
map
:Object of class "numeric"
. The MAP of the population size.
qlow.p
:Object of class "numeric"
. The probability of the left endpoint (q1) of the credible interval. Default confidence level 95%.
qlow.idx
:Object of class "integer"
. The index of the prior support corresponding to q1.
qlow
:Object of class "numeric"
. The left endpoint (q1) of the credible interval.
qlow.cum
:Object of class "numeric"
. The cumulative posterior probability from n1 to q1, i.e. the left tail.
qup.p
:Object of class "numeric"
. The probability of the right endpoint (q2) of the credible interval. Default confidence level 95%.
qup.idx
:Object of class "integer"
. The index of the prior support corresponding to q2.
qup
:Object of class "numeric"
. The right endpoint (q2) of the credible interval.
qup.cum
:Object of class "numeric"
. The cumulative posterior probability from q2 to n2, i.e. the right tail.
gamma
:Object of class "logical"
. TRUE if the posterior was computed using a Gamma approximation (see reference for details).
Federico Comoglio, federico.comoglio@bsse.ethz.ch
Comoglio F, Fracchia L and Rinaldi M (2013) Bayesian inference from count data using discrete uniform priors. PLOS ONE, to appear
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