Title

    [R] zinb -- Zero-inflated negative binomial regression


Syntax

        zinb depvar [indepvars] [if] [in] [weight], inflate(varlist[, offset(varname)]|_cons) [options]

    options                       Description
    -----------------------------------------------------------------------------------------------------------------------------------------------------
    Model
    * inflate()                   equation that determines whether the count is zero
      noconstant                  suppress constant term
      exposure(varname_e)         include ln(varname_e) in model with coefficient constrained to 1
      offset(varname_o)           include varname_o in model with coefficient constrained to 1
      constraints(constraints)    apply specified linear constraints
      collinear                   keep collinear variables
      probit                      use probit model to characterize excess zeros; default is logit

    SE/Robust
      vce(vcetype)                vcetype may be oim, robust, cluster clustvar, opg, bootstrap, or jackknife

    Reporting
      level(#)                    set confidence level; default is level(95).
      irr                         report incidence-rate ratios
      vuong                       perform Vuong test
      zip                         perform ZIP likelihood-ratio test
      nocnsreport                 do not display constraints
      display_options             control column formats, row spacing, line width, display of omitted variables and base and empty cells, and
                                    factor-variable labeling

    Maximization
      maximize_options            control the maximization process; seldom used

      coeflegend                  display legend instead of statistics
    -----------------------------------------------------------------------------------------------------------------------------------------------------
    * inflate(varlist[, offset(varname)]|_cons) is required.
    indepvars and varlist may contain factor variables; see fvvarlist.
    bootstrap, by, fp, jackknife, rolling, statsby, and svy are allowed; see prefix.
    Weights are not allowed with the bootstrap prefix.
    vce(), vuong, zip, and weights are not allowed with the svy prefix.
    fweights, iweights, and pweights are allowed; see weight.
    coeflegend does not appear in the dialog box.
    See [R] zinb postestimation for features available after estimation.


Menu

    Statistics > Count outcomes > Zero-inflated negative binomial regression


Description

    zinb estimates a zero-inflated negative binomial (ZINB) regression of depvar on indepvars, where depvar is a nonnegative count variable.

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