`R/printFit.R`

`printFit.Rd`

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.

```
if (FALSE) {
# 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")
}
```