R: Compute 95% Credible Interval and Mean

c95 {bamlss} | R Documentation

## Compute 95% Credible Interval and Mean

### Description

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`.

### Usage

    c95(x)

### Arguments

`x` | A numeric vector.

### See Also

`predict.bamlss`, `coef.bamlss`

### Examples

    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)

[Package bamlss version 1.1-6 Index]