`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") }