Calculate log-likelihoods for the gev, order statistics or point process models.
pplik(par, data, thresh, noy, trend, exact = FALSE)
gevlik(par, data, trend)
gpdlik(par, data, trend)
oslik(par, data, trend)A numeric vector.
If trend is missing, should be a numeric vector of
length three, containing the location, scale and shape parameters.
If trend is not missing, should be a numeric vector of length
four, containing the location intercept, scale, shape and location
trend parameters, in that order.
For pplik, gevlik and gpdlik; a
non-empty numeric vector containing the data at which the likelihood
is evaluated, possibly containing missing values. For oslik;
a numeric matrix (see the user's guide).
Threshold. Typically a single number or a vector of
the same length as data.
Number of years/periods of observations, excluding any missing values.
Trend vector (optional). If given, should be the same
length as data for pplik and gevlik.
For oslik, should contain one value for each row
of data.
In general, the point process likelihood includes an
approximation to an integral. If exact is TRUE, every
value in trend and thresh is used for the
approximation.
See the user's guide.
posterior, prior.prob