rob_estimate_negbin: Computes a robust estimate of the parameters of a negative...
In mvaldora/robustr: Computes Robust Estimators for Univariate Distributions
Description
Usage
Arguments
Value
Examples
View source: R/estimator_for_negative_binomial.R
Description
Computes a robust estimate of the parameters of a negative binomial random variable.
Usage
1
rob_estimate_negbin(x, start = NULL)
Arguments
x
A vector of univariate observations
start
Initial vector of parameters to start the optimization
Value
The estimated vector of parameters. The first entry is the mean and the second is the dispersion parameter, that equals 1/size.
Examples
1
2
3
4
library(MASS)
x <- rnbinom(100,mu=2,size=1)
MASS::fitdistr(x,dens="negative binomial")
rob_estimate_negbin(x)
mvaldora/robustr documentation built on Nov. 4, 2019, 8:33 p.m.
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Description Usage Arguments Value Examples
View source: R/estimator_for_negative_binomial.R
Description
Computes a robust estimate of the parameters of a negative binomial random variable.
Usage
1 | rob_estimate_negbin(x, start = NULL)
|
Arguments
x |
A vector of univariate observations |
start |
Initial vector of parameters to start the optimization |
Value
The estimated vector of parameters. The first entry is the mean and the second is the dispersion parameter, that equals 1/size.
Examples
1 2 3 4 | library(MASS)
x <- rnbinom(100,mu=2,size=1)
MASS::fitdistr(x,dens="negative binomial")
rob_estimate_negbin(x)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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