HL.estimate

Calculates the Hodges-Lehmann estimate.

Hodges-Lehmann-estimate

Performs one-sample t-test based on robustified statistics using median/MAD (TA) and Hodges-Lehmann/Shamos (TB). For more details, see Park, Wang and Hwang (2022) <doi:10.7232/iems.2022.21.3.432>. This work was partially supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (No. 2022R1A2C1091319).

Chanseok Park

rt.test

Robustified t-Test

Min Wang

Hodges-Lehmann-estimate function

<dl> <dt>x</dt>
<dd>a numeric vector of observations.</dd> <dt>na.rm</dt>
<dd>a logical value indicating whether NA values should be stripped before the computation proceeds.</dd> <dt>IncludeEqual</dt>
<dd>FALSE (default) calculates median of ([x[i]+x[j])/2) with i&lt;j.
TRUE calculates median of ([x[i]+x[j])/2) with i&lt;=j.</dd>
 
</dl>

Arguments

Author

Hodges-Lehmann estimate — Hodges-Lehmann-estimate

<dl>

 <dt>x</dt>
<dd>a numeric vector of observations.</dd>

 <dt>na.rm</dt>
<dd>a logical value indicating whether NA values should be stripped before the computation proceeds.</dd>

 <dt>IncludeEqual</dt>
<dd>FALSE (default) calculates median of ([x[i]+x[j])/2) with i&lt;j.
TRUE calculates median of ([x[i]+x[j])/2) with i&lt;=j.</dd>
 
</dl>

Hodges-Lehmann-estimate: Hodges-Lehmann estimate

Description

Usage

Arguments

Author

References

See Also

Examples