DiscreteTests-package: Vectorised Computation of P-Values and Their Supports for...

In DiscreteTests: Vectorised Computation of P-Values and Their Supports for Several Discrete Statistical Tests

Vectorised Computation of P-Values and Their Supports for Several Discrete Statistical Tests

Description

This package provides vectorised functions for computing p-values of various discrete statistical tests. Exact and approximate computation methods are provided. For exact p-values, several procedures of determining two-sided p-values are included.

Additionally, these functions are capable of returning the discrete p-value supports, i.e. all observable p-values under a null hypothesis. These supports can be used for multiple testing procedures in the DiscreteFDR and FDX packages.

Author(s)

Maintainer: Florian Junge [e-mail] (ORCID)

Authors:

• Christina Kihn

Other contributors:

• Sebastian Döhler [e-mail] (ORCID) [contributor]

References

Fisher, R. A. (1935). The logic of inductive inference. Journal of the Royal Statistical Society Series A, 98, pp. 39–54. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.2307/2342435")}

Agresti, A. (2002). Categorical data analysis (2nd ed.). New York: John Wiley & Sons. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1002/0471249688")}

Blaker, H. (2000) Confidence curves and improved exact confidence intervals for discrete distributions. Canadian Journal of Statistics, 28(4), pp. 783-798. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.2307/3315916")}

Hirji, K. F. (2006). Exact analysis of discrete data. New York: Chapman and Hall/CRC. pp. 55-83. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1201/9781420036190")}

See Also

Useful links:

• https://github.com/DISOhda/DiscreteTests

• Report bugs at https://github.com/DISOhda/DiscreteTests/issues

DiscreteTests documentation built on Oct. 30, 2024, 9:09 a.m.