predictors.RdThe predictors function extracts the names of the predictors from the
given bamlss model, while the smooths function returns the names of the
smooths in one predictor.
predictors(model) smooths(model, predictor)
| model | An API-enabled bamlss model. |
|---|---|
| predictor | A string containing the name of one predictor in the model. |
A character vector containing either the names of the predictors or the names of the smooths.
#> AICc 24.1352 logPost -24.8638 logLik -9.2105 edf 2.0000 eps 0.9902 iteration 1 #> AICc 24.1351 logPost -24.8638 logLik -9.2104 edf 2.0000 eps 0.0026 iteration 2 #> AICc 24.1351 logPost -24.8638 logLik -9.2104 edf 2.0000 eps 0.0000 iteration 3 #> AICc 24.1351 logPost -24.8638 logLik -9.2104 edf 2.0000 eps 0.0000 iteration 3 #> elapsed time: 0.01sec #> Starting the sampler... #> #> | | 0% 1.07sec #> |* | 5% 0.97sec 0.05sec #> |** | 10% 0.93sec 0.10sec #> |*** | 15% 0.84sec 0.15sec #> |**** | 20% 0.81sec 0.20sec #> |***** | 25% 0.76sec 0.25sec #> |****** | 30% 0.71sec 0.30sec #> |******* | 35% 0.66sec 0.36sec #> |******** | 40% 0.63sec 0.42sec #> |********* | 45% 0.59sec 0.48sec #> |********** | 50% 0.53sec 0.53sec #> |*********** | 55% 0.48sec 0.58sec #> |************ | 60% 0.43sec 0.64sec #> |************* | 65% 0.37sec 0.69sec #> |************** | 70% 0.32sec 0.75sec #> |*************** | 75% 0.27sec 0.80sec #> |**************** | 80% 0.21sec 0.85sec #> |***************** | 85% 0.16sec 0.90sec #> |****************** | 90% 0.11sec 0.96sec #> |******************* | 95% 0.05sec 1.02sec #> |********************| 100% 0.00sec 1.07secb <- apify(b) predictors(b)#> [1] "mu" "sigma"smooths(b, predictor = predictors(b)[1])#> [1] "p"