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fit() is a generic to fit a specified model.

Usage

fit(x, data, ...)

# S3 method for default
fit(x, data, ...)

Arguments

x

An R object

data

A data frame containing the data to fit.

...

Arguments passed to underlying methods.

Value

The value returned depends on the class of the input argument.

Author

Tim Taylor

Examples

x = rnorm(100, mean = 0)
y = rpois(n = 100, lambda = exp(1.5 + 0.5*x))
dat <- data.frame(x = x, y = y)

poisson_model <- glm_model(y ~ x , family = poisson)
negbin_model <- glm_nb_model(y ~ x)

fit(poisson_model, dat)
#> <trending_fit_tbl> 1 x 3
#>   result warnings errors
#>   <list> <list>   <list>
#> 1 <glm>  <NULL>   <NULL>
fit(negbin_model, dat)
#> <trending_fit_tbl> 1 x 3
#>   result   warnings errors
#>   <list>   <list>   <list>
#> 1 <negbin> <NULL>   <NULL>
fit(list(poisson_model, negbin_model), dat)
#> <trending_fit_tbl> 2 x 3
#>   result warnings errors   
#>   <list> <list>   <list>   
#> 1 <NULL> <NULL>   <chr [1]>
#> 2 <NULL> <NULL>   <chr [1]>
fit(list(pm = poisson_model, nm = negbin_model), dat)
#> <trending_fit_tbl> 2 x 4
#>   model_name result       warnings     errors      
#>   <chr>      <named list> <named list> <named list>
#> 1 pm         <NULL>       <NULL>       <chr [1]>   
#> 2 nm         <NULL>       <NULL>       <chr [1]>