Other packages > Find by keyword >

RANSAC  

Robust Model Fitting Using the RANSAC Algorithm
View on CRAN: Click here


Download and install RANSAC package within the R console
Install from CRAN:
install.packages("RANSAC")

Install from Github:
library("remotes")
install_github("cran/RANSAC")

Install by package version:
library("remotes")
install_version("RANSAC", "0.1.0")



Attach the package and use:
library("RANSAC")
Maintained by
Jadson Abreu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-05-07
Latest Update: 2025-05-07
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>.
How to cite:
Jadson Abreu (2025). RANSAC: Robust Model Fitting Using the RANSAC Algorithm. R package version 0.1.0, https://cran.r-project.org/web/packages/RANSAC. Accessed 21 Aug. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited RANSAC R package
View RANSAC citation profile
Other R packages that RANSAC depends, imports, suggests or enhances
Complete documentation for RANSAC
Functions, R codes and Examples using the RANSAC R package
Full RANSAC package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
artfima  
ARTFIMA Model Estimation
Fit and simulate ARTFIMA. Theoretical autocovariance function and spectral density function for stat ...
Download / Learn more Package Citations See dependency  
potential  
Implementation of the Potential Model
Provides functions to compute the potential model as defined by Stewart (1941) ...
Download / Learn more Package Citations See dependency  
preputils  
Utilities for Preparation of Data Analysis
Miscellaneous small utilities are provided to mitigate issues with messy, inconsistent or high dimen ...
Download / Learn more Package Citations See dependency  

28,332

R Packages

239,283

Dependencies

75,034

Author Associations

28,333

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA