Package: RANSAC
Title: Robust Model Fitting Using the RANSAC Algorithm
Version: 0.1.0
Authors@R: person(given = "Jadson", family = "Abreu", email = "jadson.ap@gmail.com", role = c("aut", "cre"))
Description: Provides tools for robust regression model fitting using
        the RANSAC (Random Sample Consensus) algorithm. RANSAC is an
        iterative method to estimate parameters of a model from a
        dataset that contains outliers. This package allows fitting
        both linear lm and nonlinear nls models using RANSAC, helping
        users obtain more reliable models in the presence of noisy or
        corrupted data. The methods are particularly useful in contexts
        where traditional least squares regression fails due to the
        influence of outliers. Implementations include support for
        performance metrics such as RMSE, MAE, and R² based on the
        inlier subset. For further details, see Fischler and Bolles
        (1981) <doi:10.1145/358669.358692>.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.2
Depends: R (>= 4.0.0)
Imports: stats
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-07 11:12:49 UTC; root
Author: Jadson Abreu [aut, cre]
Maintainer: Jadson Abreu <jadson.ap@gmail.com>
Repository: https://jadson-abreuv.r-universe.dev
Date/Publication: 2025-05-07 10:30:06 UTC
RemoteUrl: https://github.com/cran/RANSAC
RemoteRef: HEAD
RemoteSha: c5a4bc3b4b477d247a70e8e4d4f8263bd531a6b6