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Fits a list of trending_model objects to the given input data.

Usage

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

Arguments

x

A list of trending_model objects

data

A data frame containing the data to fit.

...

Not currently used.

Value

A trending_fit_tbl object which is a tibble

subclass with one row for each model and entries:

  • model_name (optional): If the input is a named list then the name is extracted.

  • result: the resulting fit from calling the underlying model directly, i.e.

    • lm_model: a fitted model object of class lm

    • glm_model: a fitted model object of class glm

    • glm_nb_model: a fitted model object of class negbin

    • brm_model: An object of class brmsfit

    NULL if fitting fails.

  • warnings: any warnings generated during fitting

  • errors: any errors generated during fitting

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(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]>