mlelogistic: Computing the MLE for logistic distribution
In StatComp18063/StatComp: Homework for 'Statistical Computing' course
Description
Usage
Arguments
Value
Examples
Description
Computing the MLE for logistic distribution using R,
location parameter is theta, scale parameter is 1.
Usage
1
mlelogistic(x, theta0 = mean(x), numstep = 100, eps = 1e-04)
Arguments
x
vector, the sample
theta0
the mean of x
numstep
maximum repeat times
eps
The iteration error
Value
theta1 is the MLE
check is the iteration error
realnumsteps is the actual number of iterations
Examples
1
2
x=rlogis(100,2,1)
mlelogistic(x)
StatComp18063/StatComp documentation built on May 13, 2019, 10:04 a.m.
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.
Description Usage Arguments Value Examples
Description
Computing the MLE for logistic distribution using R, location parameter is theta, scale parameter is 1.
Usage
1 | mlelogistic(x, theta0 = mean(x), numstep = 100, eps = 1e-04)
|
Arguments
x |
vector, the sample |
theta0 |
the mean of x |
numstep |
maximum repeat times |
eps |
The iteration error |
Value
theta1 is the MLE
check is the iteration error
realnumsteps is the actual number of iterations
Examples
1 2 | x=rlogis(100,2,1)
mlelogistic(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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.