LeArEst: Border and Area Estimation of Data Measured with Additive Error

Provides methods for estimating borders of uniform distribution on the interval (one-dimensional) and on the elliptical domain (two-dimensional) under measurement errors. For one-dimensional case, it also estimates the length of underlying uniform domain and tests the hypothesized length against two-sided or one-sided alternatives. For two-dimensional case, it estimates the area of underlying uniform domain. It works with numerical inputs as well as with pictures in JPG format.

Getting started

Package details

AuthorMirta Bensic [aut], Safet Hamedovic [aut], Kristian Sabo [aut], Petar Taler [aut, cre]
MaintainerPetar Taler <petar@mathos.hr>
Package repositoryView on CRAN
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LeArEst documentation built on May 2, 2019, 7:55 a.m.