slooplot: A function to plot outputs of a spatial leave-one-out...

In timcdlucas/INLAutils: Utility Functions for 'INLA'

A function to plot outputs of a spatial leave-one-out cross-validation in R using INLA.

Description

This function plots the output of a spatial leave-one-out cross-validation (SLOO-CV) of one or several models running on INLA.

Usage

slooplot(
  alpha = alpha,
  df = df,
  mae = mae,
  ds = ds,
  family = family,
  ntrials = ntrials,
  sqroot = sqroot
)

Arguments

alpha	Numeric value (0,...,1) giving the threshold for computing confidence intervals (1-alpha) of rmse and mae estimation
df	dataframe (output of inla.sloo), which include the "Observed_response", "Predictions", "Residuals", RMSE, MAE (optional), and DS(optional)
mae	If TRUE, compute the mean absolute error (mae) and the root mean square error (rmse). If FALSE, compute the rmse only.
ds	If TRUE, compute the Dawid-Sebastiani score (ds). If FALSE, does not compute ds.
family	Character string or list of Character string giving the family or families, respectively of the response in INLA format
ntrials	Numeric value (1,2,...) setting the number of trials for a Binomial family
sqroot	If TRUE, compute the square root of the observed and predicted values to generate the rmse and/or mae.

Examples

## Not run: 
 # SLOO function with one model formula (Bernoulli)
 df<-data.frame(Residuals=runif(10, 0.0, 1.0),RMSE=runif(10, 0.0, 2.0),MAE=runif(10, 0.0, 2.0),
 Observed_response= sample(c(0,1), replace=TRUE, size=10),Predictions=runif(10, 0.0, 1.0))
 alpha = 0.05
 family = bernoulli
 slooplot1<-slooplot(df=df, alpha=0.05,mae=TRUE,ds=FALSE,family='bernoulli',sqroot=FALSE)
 
## End(Not run)

timcdlucas/INLAutils documentation built on Nov. 29, 2022, 5:41 a.m.