permDep-package: Permutation Test for General Dependent Truncation

Description Author(s) References See Also

Description

Implementations of permutation approaches to test for quasi-independence. The implemented approaches are powerful against non-monotone alternatives and thereby offer protection against erroneous assumptions of quasi-independence. The proposed tests use either a conditional or a unconditional method to evaluate the permutation p-value. Users also have an option to carry out the proposed permutation tests in a parallel computing fashion.

Author(s)

Maintainer: Sy Han (Steven) Chiou schiou@utdallas.edu [copyright holder]

References

Chiou, S.H., Qian, J., and Betensky, R.A. (2018). Permutation Test for General Dependent Truncation. Computational Statistics \& Data Analysis, 128, p308–324.

See Also

Useful links:


stc04003/permDep documentation built on Jan. 23, 2022, 6:35 a.m.