c95 | R Documentation |
Small helper function that computes the 2.5% and 97.5% quantiles and the
mean of a vector. Useful for example when using function predict.bamlss
.
c95(x)
x |
A numeric vector. |
predict.bamlss
, coef.bamlss
x <- rnorm(100)
c95(x)
## Not run: ## Example computing predictions.
set.seed(123)
d <- data.frame("x" = seq(-3, 3, length = 30))
d$y <- sin(d$x) + rnorm(30, sd = 0.3)
## Estimate model and compute predictions.
## with c95().
b <- bamlss(y ~ s(x), data = d)
p <- predict(b, model = "mu", FUN = c95)
plot(d)
matplot(d$x, p, type = "l", lty = c(2, 1, 2),
col = "black", add = TRUE)
## Example extracting coefficients.
coef(b, FUN = c95)
## End(Not run)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.