DiffSumWithNA


The level of treatment variable (e.g., "treated" or 1) that indicates treated observations



  Additional arguments (included for compatibility but ignored)
  


This function calculates a test statistic analogous to the difference of means, but adjusted to accommodate missing responses. The result is intended to be used as a test statistic in a permutation test. Under the assumption that the data are missing completely at random, the resulting permutation test is "nearly" exact under the null of distributional equality of the observed responses (Pesarin and Salmaso 2010, 234--44).


 ~kwd1 

 ~kwd2 

An implementation of nonparametric combination of hypothesis tests.
This package performs nonparametric combination (Pesarin and Salmaso 2010),
a permutation-based procedure for jointly testing multiple hypotheses. The
tests are conducted under the global "sharp" null hypothesis of no effects,
and the component tests are combined on the metric of their p-values. A
key feature of nonparametric combination is that it accounts for the
dependence among tests under the null hypothesis. In addition to the
"NPC" function, which performs nonparametric combination itself, the
package also contains a number of helper functions, many of which calculate
a test statistic given an input of data.

DiffSumWithNA: Sum Test Statistic for MCAR Data

Description

Usage

Arguments

Value

References