Densities for 5 predictions
dgev_p123sub(
x,
t1,
t2,
t3,
y,
t01,
t02,
t03,
ics,
d1 = 0.01,
d2 = 0.01,
d3 = 0.01,
d4 = 0.01,
d5 = 0.01,
d6 = 0.01,
extramodels,
debug,
aderivs = TRUE
)A vector of parameter estimates, two pdf vectors, two cdf vectors
a vector of training data values
a vector of predictors for the mean
a vector of predictors for the sd
a vector of predictors for the shape
a vector of values at which to calculate the density and distribution functions
a single value of the predictor (specify either t01 or n01 but not both)
a single value of the predictor (specify either t02 or n02 but not both)
a single value of the predictor (specify either t03 or n03 but not both)
initial conditions for the maximum likelihood search
the delta used in the numerical derivatives with respect to the parameter
the delta used in the numerical derivatives with respect to the parameter
the delta used in the numerical derivatives with respect to the parameter
the delta used in the numerical derivatives with respect to the parameter
the delta used in the numerical derivatives with respect to the parameter
the delta used in the numerical derivatives with respect to the parameter
logical that indicates whether to add three additional prediction models
debug flag
logical for whether to use analytic derivatives (instead of numerical)