R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
RANSAC
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]
[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 13 Sep. 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
tvmComp
Functions for compounding and discounting calculations included here serve as a complete reference f ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: MaheshP Kumar (view profile)
oii
Provides simple crosstab output with optional statistics (e.g., Goodman-Kruskal Gamma, Somers' d, an ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Scott Hale (view profile)
quickcode
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
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
TSEwgt
Calculates total survey error (TSE) for a survey under multiple, different weighting schemes, using ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Joshua Miller (view profile)
saeMSPE
We describe a new R package entitled 'saeMSPE' for the well-known Fay Herriot model and nested error ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Peiwen Xiao (view profile)
cmdfun
Writing interfaces to command line software is cumbersome.
'cmdfun' provides a framework for buildi ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Spencer Nystrom (view profile)
28,565
R Packages
239,283
Dependencies
75,677
Author Associations
28,566
Publication Badges
