dgev_p12sub {fitdistcp} | R Documentation |
Densities for 5 predictions
Description
Densities for 5 predictions
Usage
dgev_p12sub(
x,
t1,
t2,
y,
t01,
t02,
ics,
d1 = 0.01,
d2 = 0.01,
d3 = 0.01,
d4 = 0.01,
d5 = 0.01,
minxi,
maxxi,
debug,
extramodels = FALSE,
aderivs = TRUE
)
Arguments
x |
a vector of training data values |
t1 |
a vector of predictors for the mean |
t2 |
a vector of predictors for the sd |
y |
a vector of values at which to calculate the density and distribution functions |
t01 |
a single value of the predictor (specify either |
t02 |
a single value of the predictor (specify either |
ics |
initial conditions for the maximum likelihood search |
d1 |
the delta used in the numerical derivatives with respect to the parameter |
d2 |
the delta used in the numerical derivatives with respect to the parameter |
d3 |
the delta used in the numerical derivatives with respect to the parameter |
d4 |
the delta used in the numerical derivatives with respect to the parameter |
d5 |
the delta used in the numerical derivatives with respect to the parameter |
minxi |
minimum value of shape parameter xi |
maxxi |
maximum value of shape parameter xi |
debug |
debug flag |
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