scobit.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 scobit}{right:dialog:  {bf:{dialog scobit} {space 14}}}
{right:also see:  {help scobit postestimation}}
{hline}

{title:Title}

{p2colset 5 19 21 2}{...}
{p2col:{hi:[R] scobit} {hline 2}}Skewed logistic regression{p_end}
{p2colreset}{...}


{title:Syntax}

{p 8 15 2}
{cmd:scobit}
{depvar}
[{indepvars}]
{ifin}
{weight}
[{cmd:,} {it:options}]

{synoptset 26 tabbed}{...}
{synopthdr}
{synoptline}
{syntab:Model}
{synopt:{opt nocon:stant}}suppress constant term{p_end}
{synopt:{opth off:set(varname)}}include {it:varname} in model with coefficient
constrained to 1{p_end}
{synopt:{opt asis}}retain perfect predictor variables{p_end}
{synopt:{cmdab:const:raints(}{it:{help estimation options##constraints():constraints}}{cmd:)}}apply specified linear constraints{p_end}

{syntab:SE/Robust}
{synopt:{opth vce(vcetype)}}{it:vcetype} may be {opt oim}, 
{opt r:obust}, {opt opg}, {opt boot:strap}, or {opt jack:knife}{p_end}
{synopt:{opt r:obust}}synonym for {cmd:vce(robust)}{p_end}
{synopt:{opth cl:uster(varname)}}adjust standard errors for intragroup
correlation{p_end}

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

{syntab:Max options}
{synopt:{it:{help scobit##maximize_options:maximize_options}}}control the maximization
process; seldom used{p_end}
{synoptline}
{p2colreset}{...}
{p 4 6 2}
{cmd:bootstrap}, {cmd:by}, {cmd:jackknife}, {cmd:rolling}, {cmd:statsby},
{cmd:stepwise}, and {cmd:xi} are allowed; see {help prefix}.{p_end}
{p 4 6 2}
{opt fweight}s, {opt iweight}s, and {opt pweight}s are allowed; see
{help weight}.{p_end}
{p 4 6 2}
See {help scobit postestimation} for features available after estimation.{p_end}


{title:Description}

{pstd}
{opt scobit} fits a maximum-likelihood skewed logit model.

{pstd}
See {help logistic estimation commands} for a list of related estimation
commands.


{title:Options}

{dlgtab:Model}

{phang}
{opt noconstant}, {opth offset(varname)}, {opt constraint(constraints)}; see
{help estimation options}.

{phang}
{opt asis} forces retention of perfect predictor
variables and their associated perfectly predicted observations and may
produce instabilities in maximization; see {helpb probit}.

{dlgtab:SE/Robust}

{phang}
{opt vce(vcetype)}; see {help vce_option}.

{phang}
{opt robust}, {opth cluster(varname)}; see
  {help estimation options##robust:estimation options}.

{dlgtab:Reporting}

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

{phang}
{opt or} reports the estimated coefficients transformed to odds ratios, i.e.
e(b) rather than b.  Standard errors and confidence intervals are similarly
transformed.  This option affects how results are displayed, not how they are
estimated.  {opt or} may be specified at estimation or when replaying
previously estimated results.

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

{phang}
{it:maximize_options}:
{opt diff:icult},
{opt tech:nique(algorithm_spec)},
{opt iter:ate(#)},
[{cmdab: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:Example}

{phang}{cmd:. scobit low age lwt race2 race3 smoke ptl ht ui}


{title:Also see}

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

{psee}
Online:  {help scobit postestimation};{break}
{helpb biprobit},
{helpb constraint},
{helpb cloglog},
{helpb cusum},
{helpb glm},
{helpb glogit},
{helpb logistic},
{helpb logit},
{helpb probit}
{p_end}