march.Model Summary.

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.

1 | ```
march.thompson(object, alpha)
``` |

`object` |
the march.Model object on which compute the confidence intervals. |

`alpha` |
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.

Ogier Maitre

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)
``` |

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.