Likelihood: The Structure of a Likelihood Function
In rnorouzian/BayesianforL2: Introduction to Bayesian Thinking for L2 Researchers
Description
Usage
Arguments
Value
Author(s)
Examples
Description
Details the Likelihood Function as an ingridient of a Bayesian estimation process.
Usage
1
Likelihood(n)
Arguments
n
Sample size.
Value
Graphically details the process of obtaining Likelihood values
to produce a "Likelihood Function" using Simulation.
Author(s)
Reza Norouzian <rnorouzian@gmail.com>
Examples
1
# Likelihood(n = 3)
rnorouzian/BayesianforL2 documentation built on May 29, 2019, 8:37 a.m.
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Description Usage Arguments Value Author(s) Examples
Description
Details the Likelihood Function as an ingridient of a Bayesian estimation process.
Usage
1 | Likelihood(n)
|
Arguments
n |
Sample size. |
Value
Graphically details the process of obtaining Likelihood values to produce a "Likelihood Function" using Simulation.
Author(s)
Reza Norouzian <rnorouzian@gmail.com>
Examples
1 | # Likelihood(n = 3)
|
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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