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It looks like lower_ci is actually the upper confidence interval and upper_ci is actually lower.
lower_ci
upper_ci
library(gratia) library(tidyverse) load_mgcv() dat <- gamSim(1, n = 400, dist = "normal", scale = 2) #> Gu & Wahba 4 term additive model m1 <- gam(y ~ s(x0) + s(x1) + s(x2) + s(x3), data = dat, method = "REML") out1 <- confint(m1, parm = "s(x0)") any(out1$lower < out1$upper) #> [1] TRUE out2 <- smooth_estimates(m1, smooth = "s(x0)") %>% add_confint() any(out2$lower_ci < out2$upper_ci) #> [1] FALSE
Created on 2021-06-10 by the reprex package (v2.0.0)
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The text was updated successfully, but these errors were encountered:
Yup; that's dumb of me... Will fix this ASAP
Sorry, something went wrong.
document fix for #107
8b4f407
474ed4f
Thanks for the report; this is fixed in 0.6.0.9112
gavinsimpson
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It looks like
lower_ci
is actually the upper confidence interval andupper_ci
is actually lower.Created on 2021-06-10 by the reprex package (v2.0.0)
Session info
The text was updated successfully, but these errors were encountered: