Compute the confidence intervals using Thompson's formula on a march.Model object. See Thompson SK (1987) Sample size for estimating multinomial proportions, American Statistician 41:42-46, for details.
the march.Model object on which compute the confidence intervals.
the significance level among : 0.5, 0.4, 0.3, 0.2, 0.1, 0.05, 0.025, 0.02, 0.01, 0.005, 0.001, 0.0005, 0.0001.
A list of half-length confidence intervals for each probability distribution of the considered model.
1 2 3 4 5 6 7 8 9 10 11 12 13 14
# Compute a first-order homogeneous Markov Chain for the pewee data. MC1 <- march.mc.construct(pewee,1) # Display the transition matrix print(MC1@RC) # Compute the half-length 95% confidence interval for each row of the transition matrix. march.thompson(MC1,alpha=0.05) # Compute a third-order MTD model for the pewee data. MTD3 <- march.mtd.construct(pewee,3) # Display the model print(MTD3) # Compute the half-length 95% confidence interval for the vector of lags # and for each row of the transition matrix. march.thompson(MTD3,alpha=0.05)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.