rocfit.hlp

是一个经济学管理应用软件 很难找的 但是经济学学生又必须用到

{smcl}
{* 18mar2005}{...}
{cmd:help rocfit}{...}
{right:dialog:  {bf:{dialog rocfit}}{space 15}}
{right:also see:  {help rocfit postestimation}}
{hline}

{title:Title}

{p2colset 5 19 21 2}{...}
{p2col:{hi:[R] rocfit} {hline 2}}Fit ROC models{p_end}
{p2colreset}{...}


{title:Syntax}

{p 8 16 2}
{cmd:rocfit}
{it:refvar}
{it:classvar}
{ifin}
{weight}
[{cmd:,} {it:rocfit_options}]

{synoptset 20 tabbed}
{synopthdr:rocfit_options}
{synoptline}
{syntab:Model}
{synopt:{opt cont:inuous(#)}}divide {it:classvar} into {it:#} groups of approximately equal length
{p_end}
{synopt:{opth g:enerate(newvar)}}create {it:newvar} containing classification groups
{p_end}

{syntab:SE/Robust}
{synopt:{opth vce(vcetype)}}{it:vcetype} may be {opt oim} or {opt opg}
{p_end}

{syntab:Reporting}
{synopt:{opt l:evel(#)}}set confidence level; default is {cmd:level(95)}
{p_end}

{syntab:Max options}
{synopt:{it:{help rocfit##maximize_options:maximize_options}}}control the
maximization process; seldom used
{p_end}
{synoptline}
{p2colreset}{...}
{p 4 6 2}
{opt fweight}s are allowed; see {help weight}.
{p_end}
{p 4 6 2}See {help rocfit postestimation} for features available after estimation.{p_end}


{title:Description}

{pstd}
{opt rocfit} fits maximum-likelihood ROC models assuming a binormal
distribution of the latent variable.

{pstd}
The two variables {it:refvar} and {it:classvar} must be numeric.  The
reference variable indicates the true state of the observation, such as
diseased and nondiseased or normal and abnormal, and must be coded as 0 or 1.
The rating or outcome of the diagnostic test or test modality is recorded in
{it:classvar}, which must be at least ordinal, with higher values indicating
risk.

{pstd}
See {helpb roctab:roc} for other commands designed to perform Receiver Operating
Characteristic (ROC) analysis with rating and discrete classification data.


{title:Options}

{dlgtab:Model}

{phang}
{opt continuous(#)} specifies that the continuous
{it:classvar} be divided into {it:#} groups of approximately equal length.
The option is required when {it:classvar} takes on more than 20 distinct
values.

{pmore}
{cmd:continuous(.)} may be specified to indicate that {it:classvar}
be used as it is, even though it could have more than 20 distinct values.

{phang}
{opth generate(newvar)} specifies the new
variable that is to contain values indicating the groups produced by
{opt continuous(#)}.  {opt generate()} may only be specified with
{opt continuous()}.

{dlgtab:SE/Robust}

{phang}
{opth vce(vcetype)}; see {it:{help vce_option}}.

{dlgtab:Reporting}

{phang}
{opt level(#)}; see {help estimation options##level():estimation options}.

{marker maximize_options}{...}
{dlgtab:Max options}

{phang}
{it:maximize_options}:
{opt diff:ifcult},
{opt tech:nique(algorithm_spec)},
{opt iter:ate(#)},
[{cmd:{ul:no}}]{opt lo:g},
{opt tr:ace}, 
{opt grad:ient},
{opt showstep},
{opt hess:ian},
{opt shownr:tolerance},
{opt tol:erance(#)},
{opt ltol:erance(#)},
{opt gtol:erance(#)},
{opt nrtol:erance(#)},
{opt nonrtol:erance},
{opt from(init_specs)}; see {help maximize}.  These options are seldom used.


{title:Examples}

{phang}{cmd:. rocfit disease rating, cont(10)}{p_end}
{phang}{cmd:. rocfit disease rating, cont(.)}{p_end}
{phang}{cmd:. rocfit disease rating, cont(10) generate(group)}{p_end}


{title:Also see}

{psee}
Manual:  {bf:[R] rocfit}

{psee}
Online:  {help rocfit postestimation};{break}
{helpb roctab:roc}
{p_end}