reltest_predict {fitdistcp} | R Documentation |
Make prediction from one model
Description
Make prediction from one model
Usage
reltest_predict(
model,
xx,
tt,
tt1,
tt2,
tt3,
n0,
n10,
n20,
n30,
pp,
params,
dmgs = TRUE,
debug = FALSE,
aderivs = TRUE,
unbiasedv = FALSE,
pwm = FALSE,
minxi = -10,
maxxi = 10
)
Arguments
model |
which distribution to test. Possibles values are
" |
xx |
training data |
tt |
predictor vector |
tt1 |
predictor vector 1 |
tt2 |
predictor vector 2 |
tt3 |
predictor vector 3 |
n0 |
index for predictor vector |
n10 |
index for predictor vector 1 |
n20 |
index for predictor vector 2 |
n30 |
index for predictor vector 2 |
pp |
probabilites at which to make quantile predictions |
params |
model parameters |
dmgs |
flag for whether to run dmgs calculations or not |
debug |
flag for turning debug messages on |
aderivs |
a logical for whether to use analytic derivatives (instead of numerical) |
unbiasedv |
a logical for whether to use the unbiased variance instead of maxlik (for the normal) |
pwm |
a logical for whether to use PWM instead of maxlik (for the GEV) |
minxi |
minimum value for EVT shape parameter |
maxxi |
maximum value for EVT shape parameter |
Value
Two vectors