Description Usage Arguments Value Examples

This function is used for estimating a linear combination of treatment effects and its confidence regions. Moreover, it can be used to test the coefficient of the difference between two treatments.

1 | ```
CI.trt(fit,L,alpha)
``` |

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

`L` |
A numeric contrast vector which specifies the linear combination of the parameters 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. |

`trt` |
A t by 1 vector which includes the estimated mean of the treatment mean at different observation time points. |

`ub` |
A t by 1 vector which indicates the upper bound of the (1-alpha) confidence band at different time points. |

`lb` |
A t by 1 vector which indicates the lower bound of the (1-alpha) confidence band at different time points. |

1 2 3 4 5 6 7 8 9 10 | ```
fit = fanova_mean(Y.na.mat = Y.na.mat, 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)
L1 = c(1,0,0,1/3,1/3)
ci1 = CI.trt(fit = fit, L = L1, alpha = 0.05)
plot(tt,ci1$trt,type = "l")
lines(tt,ci1$lb, col = "blue")
lines(tt,ci1$ub, col = "blue")
``` |

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