View source: R/DroppingInterval.R
loglikinterval | R Documentation |
log-likelihood of an observed interval distribution
loglikinterval( data, mu, sigma, p, N = 5L, fun = "gamma", trunc = c(0, Inf), fpp = 0 )
data |
A numeric list of intervals. |
mu |
mean arrival interval. |
sigma |
standard deviation of the arrival interval. |
p |
chance to not observe an arrival. |
N |
Maximum number of missed observations to be taken into account (default N=5). |
fun |
Assumed distribution for the intervals, one of " |
trunc |
Use a truncated probability density function with range |
fpp |
Baseline proportion of intervals distributed as a random poisson process with mean arrival interval |
Refer to intervalpdf for details on the functional form of
the probability density function of an observed interval distribution φ_{obs}.
The log-likelihood L given a set of intervals x_j in data
is given by
L(μ,σ,p)=\log ∑_j φ_{obs}(x_j | μ,σ,p)
The function is provided to allow likelihood maximisation by other optimization tools than the default by optim.
returns the value of the loglikelihood
data(goosedrop) loglikinterval(goosedrop$interval,mu=200,sigma=50,p=.3)
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