In mvaldora/robustr: Computes Robust Estimators for Univariate Distributions

knitr::opts_chunk$set(
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robustr

The goal of robustr is to compute robust estimators for univariate distributions

You can install the development version of robustr from GitHub with:

# install.packages("devtools")
devtools::install_github("mvaldora/robustr")

Example

This is a basic example which shows you how to solve a common problem:

library(robustr)
library(MASS)
   x <- rnbinom(100, mu=2, size=1)
   rob_estimate_negbin(x)
   x <- rpois(100, 0.5)
   rob_estimate_poisson(x)
## basic example code

mvaldora/robustr documentation built on Nov. 4, 2019, 8:33 p.m.