An imprecise inference presented in the study of Walley (1996) <doi:10.1111/j.2517-6161.1996.tb02065.x> is one of the statistical reasoning methods when prior information is unavailable. Functions and utils needed for illustrating this inferential paradigm are implemented for classroom teaching and further comprehensive research. Two imprecise models are demonstrated using multinomial data and 2x2 contingency table data. The concepts of prior ignorance and imprecision are discussed in lower and upper probabilities. Representation invariance principle, hypothesis testing, decision-making, and further generalization are also illustrated.
Package details |
|
---|---|
Author | Chel Hee Lee [aut, cre] (<https://orcid.org/0000-0001-8209-8176>), Mikelis Bickis [ctb], Angela McCourt [ctb] |
Maintainer | Chel Hee Lee <chelhee.lee@ucalgary.ca> |
License | GPL-3 |
Version | 0.2.2.4 |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
|
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.