myFormula: model formula

In niroshar/hglmbc2: Small Area Estimation Using Calibrated H-likelihood with Bias Correction for Generalized Class of Distributions

Description

myFormula outputs the model formula based on discrete variables and continuous variables.

Usage

myFormula(data, resp = NULL, dom = NULL, ...)

Arguments

data	the data frame.
resp	the response variable.
dom	the random effect dom could be "county","FIPS","state","zipcode".
...	Other parameters. fe.disc A vector of discrete/categorical fixed effects. fe.cont A vector of continuous fixed effects.

Value

Returns an object of class for model formula which is a symbolic formula based on the variables in the data set.

See Also

as.formula

Examples

# Using discrete and continuous variables.
data <- eversmoke
y <- "smoke_ever"
dom <- "county"
catX <- c("age","gender","year","race")
contX <- "povt_rate"
## Not run: 
myFormula(data, resp = y, fe.disc = catX, fe.cont = contX)
as.formula(myFormula(data, resp = y, fe.disc = catX, fe.cont = contX))



# Only using discrete variables
resp <- "smoke_ever"
dom <- "county"
fe.disc <- c("age","gender","year")
myFormula(data=eversmoke, resp="smoke_ever", dom="county", fe.disc)
as.formula(myFormula(resp,fe.disc))



# None of the variables are defined, this only output the response variable.
resp <- "smoke_ever"
dom <- "county"
myFormula(data=eversmoke, resp="smoke_ever", dom="county")

## End(Not run)

niroshar/hglmbc2 documentation built on Oct. 27, 2020, 2:22 a.m.