library("gamlss2")
data("rent", package = "gamlss.data")
## find a suitable response to the response
ic <- find_family(rent$R)
print(ic)
## fit parameters using the BCCG family
fit_family(rent$R, family = BCCG)
## count data
data("polio", package = "gamlss.data")
## search best count model
ic <- find_family(polio, k = 0,
families = available_families(type = "discrete"))
print(ic)
## fit parameters using the ZASICHEL family
fit_family(polio, family = ZASICHEL)Find and Fit GAMLSS Families
Description
These functions provide useful infrastructures for finding suitable GAMLSS families for a response variable.
Usage
## List of available families from gamlss.dist package.
available_families(type = c("continuous", "discrete"), families = NULL)
## Find suitable response distribution.
find_family(y, families = NULL, k = 2, verbose = TRUE, ...)
## Fit distribution parameters.
fit_family(y, family = NO, plot = TRUE, ...)
Arguments
type
|
Character, is the reponse continuous or discrete? |
families
|
Character, the names of the family objects of the gamlss.dist package that should be returned. |
y
|
The reponse vector or matrix. |
k
|
Numeric, the penalty factor that should be used for the GAIC.
|
verbose
|
Logical, should runtime information be printed? |
family
|
A famnily object that should be used for estimation, see also gamlss2.family.
|
plot
|
Logical, should a plot of the fitted density be provided? |
…
|
Further arguments to be passed to gamlss2 when using find_family(), or arguments legend = TRUE/FALSE, pos = “topright” (see also function legend), main, xlab and ylab when argument plot = TRUE using function fit_family().
|
Details
The function find_family() employs gamlss2 to estimate intercept-only models for each specified family object in the families argument. Note that model estimation occurs within a try block with warnings suppressed. Additionally, the function calculates the GAIC for each family whenever feasible and returns the sorted values in descending order.
Function fit_family() fits a single intercept-only model using the specified family and creates a plot of the fitted density.
Value
Function find_family() returns a vector of GAIC values for the different fitted families. Function fit_family() returns the fitted intercept-only model.
See Also
gamlss2.