imprecise101: Introduction to Imprecise Probabilities

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

AuthorChel Hee Lee [aut, cre] (<https://orcid.org/0000-0001-8209-8176>), Mikelis Bickis [ctb], Angela McCourt [ctb]
MaintainerChel Hee Lee <chelhee.lee@ucalgary.ca>
LicenseGPL-3
Version0.2.2.4
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("imprecise101")

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imprecise101 documentation built on Feb. 16, 2023, 6:08 p.m.