Description Usage Arguments Examples

This function can be used for testing the significance of the treatment effects of interest by constructing the corresponding confidence regions. In fact, it is a special case of the function "CI.trt" in this package. This function is more efficient and more easy to use when testing the difference between two treatments.

1 | ```
CI.trt.diff(fit, j1, j2, alpha)
``` |

`fit` |
An object of output obtained by function "fanova_mean". |

`j1` |
A positive integer, which indicates the columns of the design matrix corresponding to the treatment of interest. |

`j2` |
A positive integer, which indicates the columns of the design matrix corresponding to the treatment of interest. |

`alpha` |
A positive small number, which is the probability of making type I error. e.g., if you want to calculate the 0.95 confidence band, take alpha = 0.05. |

1 2 3 4 5 6 7 8 9 10 | ```
fit = fanova_mean(Y.na.mat = Y, X = X,
tt = seq(from = 0, to = 44, by = 2),
formula = toString("~ X[,1]+X[,2]"),
K.int = 6, order = 4,
d0 = 0, d1 = 2, d2 = 2, lower = -10, upper = 15)
ci_diff = CI.trt(fit = fit,j1 = 5, j2 = 4, alpha = 0.05)
plot(tt,ci_diff$trt,type = "l")
lines(tt,ci_diff$lb, col = "blue")
lines(tt,ci_diff$ub, col = "blue")
``` |

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