📄 y_subsurvey.hlp
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{smcl}
{p 0 4}
{help contents:Top}
> {help y_progmat:Programming & matrices}
> {help y_programming:Programming}
> {help y_subroutines:Subroutines}
{bind:> {bf:Survey}}
{p_end}
{hline}
{title:Help file listings}
{p 4 8 4}
{bf:{help _robust:Robust variance estimates}}{break}
computes robust (linearization) variance estimator based on scores
and covariance matrix
{p 4 8 4}
{bf:{help is_svy:Determine if last estimation belongs to the svy class}}{break}
option allows restricting to regression type svy commands
{p 4 8 4}
{bf:{help svymarkout:Mark observations for exclusion from survey characteristics}}{break}
reset values in the variable created by {help mark} or {help marksample}
to contain 0 wherever any of the {help svyset} variables contain
missing values
{p 4 8 4}
{bf:{help _svy_setup:Retrieve svy settings}}{break}
and adjusts weights
{p 4 8 4}
{bf:{help _svy_mkdeff:Calculate design effects}}{break}
computes deff and deft from {cmd:e(V)}, {cmd:e(V_srs)}, and
{cmd:e(V_srswr)}
{p 4 8 4}
{bf:{help _svy_mkmeff:Calculate misspecification effects}}{break}
computes meft from {cmd:e(V)} and another specified matrix
{p 4 8 4}
{bf:{help svygen:Generating adjusted sampling weights}}{break}
generate adjusted weights, BRR replicate weights, jackknife
replicate weights, ...
{hline}
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