hBayesDM (version 0.4.0)

printFit: Print model-fits (mean LOOIC and WAIC values) of hBayesDM Models

Description

Print model-fits (mean LOOIC and WAIC values) of hBayesDM Models

Usage

printFit(..., ncore = 2, ic = "looic", roundTo = 3)

Arguments

...

Model objects output by hBayesDM functions (e.g. output1, output2, etc.)

ncore

Numer of cores to use when computing leave-one-out cross-validation

ic

Which information criterion to use? 'looic', 'waic', or 'both'

roundTo

Number of digits to the right of the decimal point in the output

Value

modelTable A table with relevant model comparison data

Examples

## Not run: ------------------------------------
# # Run two models and store results in "output1" and "output2"
# output1 <- dd_hyperbolic("example", 2000, 1000, 3, 3)
# 
# output2 <- dd_exp("example", 2000, 1000, 3, 3)
# 
# # Show the LOOIC model fit estimates 
# printFit(output1, output2)
# 
# # To show the WAIC model fit estimates
# printFit(output1, output2, ic="waic")
# 
# # To show both LOOIC and WAIC
# printFit(output1, output2, ic="both")
## ---------------------------------------------