inla.ks.plot {INLA} | R Documentation |
Illustrate a one-sample Kolmogorov-Smirnov test by plotting the empirical distribution deviation.
inla.ks.plot(x, y, diff=TRUE, ...)
x |
a numeric vector of data values. |
y |
a cumulative distribution function such as 'pnorm'. |
diff |
logical, indicating if the normalised difference should be
plotted. If |
... |
additional arguments for |
In addition to the (normalised) empirical distribution deviation, lines for the K-S test statistic are drawn, as well as +/- two standard deviations around the expectation under the null hypothesis.
A list with class "htest"
, as generated by
ks.test
Finn Lindgren finn.lindgren@gmail.com
## Check for N(0,1) data data = rowSums(matrix(runif(100*12)*2-1,100,12))/2 inla.ks.plot(data, pnorm) ## Not run: ## Check the goodness-of-fit of cross-validated predictions result = inla(..., control.predictor=list(cpo=TRUE)) inla.ks.plot(result$pit, punif) ## End(Not run)