Hi, I have a question about the computation of confidence intervals in the zyp package, in particular using the functions zyp.sen and confint.zyp, or zyp.yuepilon.
(1) I'm a bit confused about the confidence intervals given by zyp.sen and confint.zyp. When I request a certain confidence interval in the function, the R output seems to deliver another confidence interval, e.g. when I set level=0.95 in the function, then the output is for 0.025 and 0.975 (instead of the expected 0.05 and 0.95). See example below. Which confint statement is the right one? (2) I checked the documentation but did not find a specification about which confidence interval is used in the zyp.yuepilon function. It seems to be the same as level=0.95 in confint.zyp (I'm not sure if this is 0.95 or 0.975 - see above). Maybe, I'm just not seeing the obvious explanation... Could anybody advise me? Thanks in advance, Katy --- My example: > x <- c(0, 1, 2, 3, 4, 5) > y <- c(6, 4, 1, 8, 7, 8) # zyp.sen and confint.zyp function > slope <- zyp.sen(y~x) > slope$coef Intercept x 4.5000000 0.6666667 > ci_99 <- confint.zyp(slope, level=0.99) > ci_99 0.005 0.995 Intercept -2.071288 10.07129 x -3.000000 3.00000 > ci_95 <- confint.zyp(slope, level=0.95) > ci_95 0.025 0.975 Intercept -0.6196794 8.619679 x -2.5000000 2.333333 > ci_90 <- confint.zyp(slope, level=0.90) > ci_90 0.05 0.95 Intercept 0.1230428 7.876957 x -2.0000000 2.000000 # zyp.yuepilon # confidence interval corresponds to nominal 0.95 interval in confint.zyp (output 0.025 0.975) > xy_senslope <- zyp.yuepilon (y, conf.intervals=TRUE) > xy_senslope lbound trend trendp ubound tau sig nruns autocor valid_frac -2.50000000 0.66666667 4.00000000 2.33333333 0.80000001 0.08641075 1.00000000 -0.22400000 1.00000000 linear intercept 0.74285714 3.83333333 ________________________________ Katy Unger-Shayesteh GFZ German Research Centre For Geosciences Section 5.4 Hydrology ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.