dgpdsub {fitdistcp} | R Documentation |
Densities for 5 predictions
Description
Densities for 5 predictions
Usage
dgpdsub(
x,
y,
ics,
fd1 = 0.01,
d2 = 0.01,
kloc = 0,
dlogpi = 0,
minxi,
maxxi,
extramodels = FALSE,
aderivs = TRUE
)
Arguments
x |
a vector of training data values |
y |
a vector of values at which to calculate the density and distribution functions |
ics |
initial conditions for the maximum likelihood search |
fd1 |
the fractional delta used in the numerical derivatives with respect to the parameter |
d2 |
the delta used in the numerical derivatives with respect to the parameter |
kloc |
the known location parameter |
dlogpi |
gradient of the log prior |
minxi |
minimum value of shape parameter xi |
maxxi |
maximum value of shape parameter xi |
extramodels |
logical that indicates whether to add three additional prediction models |
aderivs |
logical for whether to use analytic derivatives (instead of numerical) |
Value
A vector of parameter estimates, two pdf vectors, two cdf vectors
[Package fitdistcp version 0.1.1 Index]