compute_Gsquared: Compute the likelihood ratio statistic comparing a...
In maxbiostat/BinaryMarkovChains: Utilities for Two-State Discrete-Time Markov Chains
View source: R/order_selection.r
compute_Gsquared R Documentation
Compute the likelihood ratio statistic comparing a second-order to a first-order Markov chain model for seq
Description
Compute the likelihood ratio statistic comparing a second-order to a first-order Markov chain model for seq
Usage
compute_Gsquared(seq, states = NULL)
Arguments
seq
a vector containing observations from an stochastic process.
Details
Under the null, G^2 has a chi-square(2) distribution.
Value
the likelihood ratio statistic (G^2) comparing a second-order model to a first-order one.
Examples
X <- rbinom(n = 1E5, size = 1, prob = 0.8)
compute_Gsquared(X)
maxbiostat/BinaryMarkovChains documentation built on Dec. 11, 2023, 4:29 a.m.
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View source: R/order_selection.r
| compute_Gsquared | R Documentation |
Compute the likelihood ratio statistic comparing a second-order to a first-order Markov chain model for seq
Description
Compute the likelihood ratio statistic comparing a second-order to a first-order Markov chain model for seq
Usage
compute_Gsquared(seq, states = NULL)
Arguments
seq |
a vector containing observations from an stochastic process. |
Details
Under the null, G^2 has a chi-square(2) distribution.
Value
the likelihood ratio statistic (G^2) comparing a second-order model to a first-order one.
Examples
X <- rbinom(n = 1E5, size = 1, prob = 0.8)
compute_Gsquared(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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