nhanes

The US National Health and Nutrition Examination Study (NHANES) is a
survey data collected by the US National Center for Health Statistics.
The survey data dates back to 1999, where individuals of all ages are
interviewed in their home annually and complete the health examination
component of the survey. The study variables include demographic
variables (e.g. age and annual household income), physical measurements
(e.g. BMI – body mass index), health variables (e.g. diabetes status),
and lifestyle variables (e.g. smoking status). This data frame contains
the following columns:<ul>
<li>id: Individual identifier</li>
<li>age: Age</li>
<li>gender: Sex 1=male, 0=female</li>
<li>educ: Education is dichotomized into high school
 and above versus less than high school</li>
<li>race: categorical variable with five levels</li>
<li>income: Household income ($1000 per year) was reported
 as a range of values in dollar (e.g. 0–4999, 5000–9999, etc.)
 and had 10 interval categories.</li>
<li>Income: Household income ($1000 per year) was reported
 as a range of values in dollar (e.g. 0–4999, 5000–9999, etc.)
 and had 10 interval categories.</li>
<li>bmi: body mass index</li>
<li>sbp: systolic blood pressure</li>
</ul>

datasets

In order to facilitate the adjustment of the sample selection models
existing in the literature, we created the 'ssmodels' package. Our package
allows the adjustment of the classic Heckman model (Heckman (1976),
Heckman (1979) <doi:10.2307/1912352>), and the estimation of the parameters of
this model via the maximum likelihood method and two-step method, in addition
to the adjustment of the Heckman-t models introduced in the literature by
Marchenko and Genton (2012) <doi:10.1080/01621459.2012.656011> and the
Heckman-Skew model introduced in the literature by Ogundimu and Hutton (2016)
<doi:10.1111/sjos.12171>. We also implemented functions to adjust the
generalized version of the Heckman model, introduced by Bastos, Barreto-Souza,
and Genton (2021) <doi:10.5705/ss.202021.0068>, that allows the inclusion of
covariables to the dispersion and correlation parameters, and a function to
adjust the Heckman-BS model introduced by Bastos and Barreto-Souza (2020)
<doi:10.1080/02664763.2020.1780570> that uses the Birnbaum-Saunders
distribution as a joint distribution of the selection and primary regression
variables. This package extends and complements existing R packages such as
'sampleSelection' (Toomet and Henningsen, 2008) and 'ssmrob' (Zhelonkin et al., 2016), providing additional robust and flexible sample selection models.

nhanes: US National Health and Nutrition Examination Study

Description

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Examples