fit.davies.p {Davies} | R Documentation |
A newbie wrapper (and pretty-printer) for maximum.likelihood()
and
least.squares()
. Draws an empirical quantile function (fit.davies.p()
) or PDF (fit.davies.q()
) and the dataset
fit.davies.p(x , print.fit=FALSE, use.q=TRUE , params=NULL, small=1e-5 , ...) fit.davies.q(x , print.fit=FALSE, use.q=TRUE , params=NULL, ...)
x |
dataset to be fitted and plotted |
print.fit |
Boolean with TRUE meaning print details of the fit |
use.q |
Boolean with TRUE meaning use least.squares()
(rather than maximum.likelihood() ) |
params |
three-element vector holding the three parameters of the
davies dataset. If NULL , determine the parameters using the method
indicated by use.q |
small |
small positive number showing range of quantiles to plot |
... |
Additional parameters passed to plot() |
If print.fit
is TRUE
, return the optimal parameters
Robin K. S. Hankin
least.squares
, maximum.likelihood
fit.davies.q(rnorm(100)^2) fit.davies.p(exp(rnorm(100))) data(x00m700p4) fit.davies.q(x00m700p4)