Print model-fits (mean LOOIC or WAIC values in addition to Akaike weights) of hBayesDM Models
Print model-fits (mean LOOIC or WAIC values in addition to Akaike weights) of hBayesDM Models
printFit(..., ic = "looic", ncore = 2, roundTo = 3)
... |
Model objects output by hBayesDM functions (e.g. output1, output2, etc.) |
ic |
Which model comparison information criterion to use? 'looic', 'waic', or 'both |
ncore |
Number of corse to use when computing LOOIC |
roundTo |
Number of digits to the right of the decimal point in the output |
modelTable A table with relevant model comparison data. LOOIC and WAIC weights are computed as Akaike weights.
## 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")
## End(Not run)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.