egp2.fit | R Documentation |
Deprecated function name to fit an extended generalized Pareto family. The user should call fit.extgp
instead.
egp2.fit(
data,
model = 1,
method = c("mle", "pwm"),
init,
censoring = c(0, Inf),
rounded = 0,
CI = FALSE,
R = 1000,
ncpus = 1,
plots = TRUE
)
data |
data vector. |
model |
integer ranging from 0 to 4 indicating the model to select (see |
method |
string; either |
init |
vector of initial values, comprising of |
censoring |
numeric vector of length 2 containing the lower and upper bound for censoring; |
rounded |
numeric giving the instrumental precision (and rounding of the data), with default of 0. |
R |
integer; number of bootstrap replications. |
ncpus |
integer; number of CPUs for parallel calculations (default: 1). |
plots |
logical; whether to produce histogram and density plots. |
fit.extgp
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