| bamlss.formula | R Documentation | 
This function creates an extended BAMLSS formula. In combination with a
bamlss.family object, each parameter of the response distribution is linked
to a single formula. If no formula is supplied for a parameter, a simple intercept only
model is created. Moreover, the function identifies hierarchical structures, see the examples.
This function is useful for creating complex model.frames for (hierarchical)
multi-parameter models and is used by function bamlss.frame. 
bamlss.formula(formula, family = NULL, specials = NULL, env = NULL, ...)
formula | 
 A simple   | 
family | 
 A   | 
specials | 
 A character vector specifying special functions to be used within
formulae, see   | 
env | 
 The environment that should be assigned to the formula.  | 
... | 
 Arguments passed to the   | 
A named list of class "bamlss.formula". Each list entry specifies a model, e.g., for
one parameter of a provided bamlss.family object. Each entry (parameter model) then
holds:
formula | 
 A simple   | 
fake.formula | 
 A formula with all function calls being dropped, e.g., the formula
  | 
bamlss, bamlss.frame, bamlss.family
## Simple formula without family object.
f <- bamlss.formula(y ~ x1 + s(x2))
print(f)
print(str(f))
## Complex formula with list of formulae.
f <- list(
  y1 ~ x1 + s(x2),
  y2 ~ x3 + te(lon, lat),
  u ~ x4 + x1
)
f <- bamlss.formula(f)
print(f)
print(names(f))
## Same formula but using extended formulae
## of package Formula.
f <- y1|y2|u ~ x1 + s(x2)|x3 + te(lon,lat)|x4 + x1
f <- bamlss.formula(f)
print(f)
print(names(f))
## Using a bamlss family object, e.g., gaussian_bamlss().
## The family has two parameters, mu and sigma, for
## each parameter one formula is returned. If no
## formula is specified an intercept only model is
## generated for the respective parameter.
f <- bamlss.formula(y ~ x1 + s(x2), family = gaussian_bamlss)
## Note, same as:
f <- bamlss.formula(y ~ x1 + s(x2), family = "gaussian")
print(f)
## Specify model for parameter sigma, too
f <- list(
  y ~ x1 + s(x2),
  sigma ~ x2 + te(lon, lat)
)
f <- bamlss.formula(f, family = "gaussian")
print(f)
## With complex hierarchical structures,
## each parameter is another list of formulae,
## indicated by the h1,...,hk, names.
f <- list(
  y ~ x1 + s(x2) + id1,
  sigma ~ x2 + te(lon, lat) + id2,
  id1 ~ s(x3) + x4 + s(id3),
  id3 ~ x5 + s(x5, x6),
  id2 ~ x7
)
f <- bamlss.formula(f, family = "gaussian")
print(f)
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