parameters | R Documentation |
The function either sets up a list of all parameters of a bamlss.frame
, which
can be used for setting up models, or extracts the estimated parameters of a bamlss
object.
parameters(x, model = NULL, start = NULL,
fill = c(0, 1e-04), list = FALSE,
simple.list = FALSE, extract = FALSE,
...)
x |
A |
model |
The model name for which parameters should be initialized or extracted. |
start |
A named numeric vector which should be used when creating the parameter list.
See also function |
fill |
Numeric, when setting up a parameter list, the values the should be used for regression
coefficients (first element of |
list |
Should the function return a list of all parameters? |
simple.list |
Should the names of parameter vectors be dropped? |
extract |
Should parameters of a |
... |
Currently not used. |
Parameters for BAMLSS are used for optimizer functions in function bamlss
.
The function is useful for initializing all parameters given a bamlss.frame
(which is done internally in function bamlss
), but also for extracting all
estimated parameters of some optimizer.
The naming convention of the parameter list is used by a couple of functions in this package.
For each parameter of the modeled distribution, e.g., gaussian_bamlss
has
parameters "mu"
and "sigma"
, a list element is created. These elements the contain
the list of all model term parameters. Parametric model terms are indicated with "p"
and
smooth model terms with "s"
. If the design matrix of a model term in the x
list
of a bamlss.frame
does not contain any columns names, then the parameters are named
with a leading "b"
, otherwise the column names of the design matrix are used. Smoothing
variances parameter vectors are named with a leading "tau2"
.
The naming convention is useful when setting up new model fitting engines for bamlss
and is used, e.g., by bfit
and GMCMC
, which are based on parameter
state list objects as provided by function bamlss.engine.setup
.
A named list of all parameters of a bamlss.frame
or bamlss
object.
bamlss.frame
, bamlss
, opt_bfit
, sam_GMCMC
,
get.par
, set.par
## Create a "bamlss.frame"
set.seed(123)
d <- GAMart()
bf <- bamlss.frame(num ~ s(x1) + te(lon,lat), data = d)
## Create list of all parameters from "bamlss.frame".
p <- parameters(bf, list = TRUE)
str(p)
## Not run: ## Estimate model.
f <- list(num ~ s(x1) + te(lon,lat), sigma ~ s(x1))
b <- bamlss(f, data = d, sampler = FALSE)
## Extract estimated parameters.
parameters(b)
parameters(b, list = TRUE)
## End(Not run)
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