fitted.bamlss {bamlss} | R Documentation |
Function to compute fitted values for bamlss
models. The function calls
predict.bamlss
to compute fitted values from samples.
## S3 method for class 'bamlss' fitted(object, model = NULL, term = NULL, type = c("link", "parameter"), samples = TRUE, FUN = c95, nsamps = NULL, ...)
object |
An object of class |
model |
Character or integer, specifies the model for which fitted values should be computed. |
term |
Character or integer, specifies the model terms for which fitted values are required.
Note that if |
type |
If |
samples |
Should fitted values be computed using samples of parameters or estimated parameters
as returned from optimizer functions (e.g., function |
FUN |
A function that should be applied on the samples of predictors or
parameters, depending on argument |
nsamps |
If the fitted |
... |
Arguments passed to function |
Depending on arguments model
, FUN
and the structure of the bamlss
model, a list of fitted values or simple vectors or matrices of fitted values.
## Not run: ## Generate some data. d <- GAMart() ## Model formula. f <- list( num ~ s(x1) + s(x2) + s(x3) + te(lon,lat), sigma ~ s(x1) + s(x2) + s(x3) + te(lon,lat) ) ## Estimate model. b <- bamlss(f, data = d) ## Fitted values returned from optimizer. f1 <- fitted(b, model = "mu", samples = FALSE) ## Fitted values returned from sampler. f2 <- fitted(b, model = "mu", samples = TRUE, FUN = mean) plot(f1, f2) ## End(Not run)