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📄 slogit_postestimation.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
💻 HLP
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{smcl}
{* 28mar2005}{...}
{cmd:help slogit postestimation} {right:dialog:  {bf:{dialog slogit_p:predict}}}
{right:also see:  {helpb slogit}{space 1}}
{hline}

{title:Title}

{p2colset 5 34 36 2}{...}
{p2col:{hi:[R] slogit postestimation} {hline 2}}Postestimation tools for slogit{p_end}
{p2colreset}{...}


{title:Description}

{pstd}
The following postestimation commands are available after {opt slogit}:

{synoptset 13}
{synopt:command}description{p_end}
{synoptline}
INCLUDE help post_estat
INCLUDE help post_estimates
INCLUDE help post_lincom
INCLUDE help post_lrtest
INCLUDE help post_mfx
INCLUDE help post_nlcom
{synopt:{bf:{help predict}}}predicted probabilities, estimated index and its
approximate standard error{p_end}
INCLUDE help post_predictnl
INCLUDE help post_suest
INCLUDE help post_test
INCLUDE help post_testnl
{synoptline}
{p2colreset}{...}


{title:Syntax for predict}

{p 8 16 2}
{cmd:predict}
{dtype}
{newvar:list}
{ifin}
[{cmd:,} {it:statistic} {opt outcome(#)}]

{p 8 16 2}
{cmd:predict}
{dtype}
{it:stub}{cmd:*}
{ifin}
{cmd:,} {opt sc:ores}

{marker statistic}{...}
{synoptset 13 tabbed}{...}
{synopthdr:statistic}
{synoptline}
{syntab:Main}
{synopt:{opt p:r}}probability of one or all of the dependent variable outcomes;
the default{p_end}
{synopt:{opt xb}}index for the kth outcome{p_end}
{synopt:{opt stdp}}standard error of the index for the kth outcome{p_end}
{synoptline}
{p2colreset}{...}
{p 4 6 2}
Note that you specify one new variable with {opt xb} and {opt stdp}
and specify either one or m new variables with {opt p}.
{p_end}
INCLUDE help esample


{title:Options for predict}

{dlgtab:Main}

{phang}
{opt pr}, the default, calculates the probability of each of the categories of
the dependent variable or the probability of the level specified in
{opt outcome()}.  If you specify the {opt outcome()} option, you only need to
specify one new variable; otherwise, you must specify a new variable for each
category of the dependent variable.

{phang}
{opt xb} calculates the index for outcome level k.
A synonym for {opt xb} is {opt index}.
This option requires the {opt outcome()} option.

{phang}
{opt stdp} calculates the standard error of the index.
A synonym for {opt stdp} is {opt seindex}.
This option requires the {opt outcome()} option.

{phang}
{opt outcome(#)} specifies the outcome for which statistic is to be
calculated.

{phang}
{opt scores} calculates the equation-level score variables.  For models with d
dimensions and m levels, d + (d + 1)(m - 1) new variables are created. 

{pmore}
	The first d new variables will contain the scores for the d regression equations.

{pmore}
	The next d(m - 1) new variables will contain the scores for the scale parameters.

{pmore}
	The last m - 1 new variables will contain scores for the constants.


{title:Example}

{phang}{cmd:. webuse sysdsn3}{p_end}

{phang}{cmd:. slogit insure age male nonwhite site2 site3, dim(1) base(1)}{p_end}
 
{phang}{cmd:. predict pIndemnity pPrepaid pUninsure, pr}


{title:Also see}

{psee}
Manual: {bf:[R] slogit postestimation}

{psee}
Online:
{helpb slogit};{break}
{helpb estimates},
{helpb lincom},
{helpb lrtest},
{helpb mfx},
{helpb nlcom},
{helpb predictnl},
{helpb suest},
{helpb test},
{helpb testnl}
{p_end}

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