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.
| Version: |
1.0.0 |
| Imports: |
conicfit, doParallel, foreach, graphics, jpeg, opencpu (≥
2.0.0), parallel, stats, utils |
| Published: |
2019-04-08 |
| Author: |
Mirta Bensic [aut],
Safet Hamedovic [aut],
Kristian Sabo [aut],
Petar Taler [aut, cre] |
| Maintainer: |
Petar Taler <petar at mathos.hr> |
| License: |
GPL-2 |
| NeedsCompilation: |
no |
| Materials: |
NEWS |
| CRAN checks: |
LeArEst results |
Documentation:
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