explore

Function <code>explore</code> provides an initial exploration of a dataset. It calculate summary statistics for all variables in the provided formula or dataset,
visualizes the distribution of the response variable as a histogram density,and boxplot for Coefficient of Variation (CV) / Relative Standard Error (RSE).

Estimates area and subarea level proportions using the Small Area Estimation (SAE) Twofold Subarea Model with a hierarchical Bayesian (HB) approach under Beta distribution. A number of simulated datasets generated for illustration purposes are also included. The 'rstan' package is employed to estimate parameters via the Hamiltonian Monte Carlo and No U-Turn Sampler algorithm. The model-based estimators include the HB mean, the variation of the mean, and quantiles. For references, see Rao and Molina (2015) <doi:10.1002/9781118735855>, Torabi and Rao (2014) <doi:10.1016/j.jmva.2014.02.001>, Leyla Mohadjer et al.(2007) <http://www.asasrms.org/Proceedings/y2007/Files/JSM2007-000559.pdf>, Erciulescu et al.(2019) <doi:10.1111/rssa.12390>, and Yudasena (2024).

Nasya Zahira Putri

saeHB.TF.beta

SAE using HB Twofold Subarea Model under Beta Distribution

Cucu Sumarni

Rizal Fauziarochman Yudasena

explore function

<dl><dt>formula</dt>
<dd>Optional formula to specify a response variable (e.g., y ~ x1 + x2).</dd>
<dt>CV</dt>
<dd>Coefficient of Variation (CV) or Relative Standard Error (RSE) of the response variable</dd>
<dt>data</dt>
<dd>The dataframe to be explored</dd>
<dt>normality</dt>
<dd>Logical; if <code>TRUE</code>, the function will additionally check
the normality of the response variable and display the result. Defaults to <code>FALSE</code>.</dd></dl>

Arguments

Exploration of the Data Used for Modeling — explore

<dl>

<dt>formula</dt>
<dd>Optional formula to specify a response variable (e.g., y ~ x1 + x2).</dd>


<dt>CV</dt>
<dd>Coefficient of Variation (CV) or Relative Standard Error (RSE) of the response variable</dd>


<dt>data</dt>
<dd>The dataframe to be explored</dd>


<dt>normality</dt>
<dd>Logical; if <code>TRUE</code>, the function will additionally check
the normality of the response variable and display the result. Defaults to <code>FALSE</code>.</dd>

</dl>

explore: Exploration of the Data Used for Modeling

Description

Usage

Value

Arguments

Examples