smooth_check

0th

Percentile

MCMC Based Simple Significance Check for Smooth Terms

For each smooth term estimated with MCMC, the function computes 95 intervals and simply computes the fraction of the cases where the interval does not contain zero.

Keywords
regression
Usage
smooth_check(object, newdata = NULL, model = NULL, term = NULL, ...)
Arguments
object

A fitted model object which contains MCMC samples.

newdata

Optionally, use new data for computing the check.

model

Character, for which model should the check be computed?

term

Character, for which term should the check be computed?

Arguments passed to predict.bamlss.

Aliases
  • smooth_check
Examples
# NOT RUN {
## Simulate some data.
d <- GAMart()

## Model formula.
f <- list(
  num ~ s(x1) + s(x2) + s(x3),
  sigma ~ s(x1) + s(x2) + s(x3)
)

## Estimate model with MCMC.
b <- bamlss(f, data = d)

## Run the check, note that all variables
## for sigma should have no effect.
smooth_check(b)
# }
Documentation reproduced from package bamlss, version 1.1-2, License: GPL-2 | GPL-3

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