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The function will return a list output by default, and if the parameter .auto_gen_empirical is set to TRUE then the empirical data given to the parameter .x will be run through the tidy_empirical() function and combined with the estimated inverse Pareto data.

Usage

util_inverse_pareto_param_estimate(.x, .auto_gen_empirical = TRUE)

Arguments

.x

The vector of data to be passed to the function.

.auto_gen_empirical

This is a boolean value of TRUE/FALSE with default set to TRUE. This will automatically create the tidy_empirical() output for the .x parameter and use the tidy_combine_distributions(). The user can then plot out the data using $combined_data_tbl from the function output.

Value

A tibble/list

Details

This function will attempt to estimate the inverse Pareto shape and scale parameters given some vector of values.

Author

Steven P. Sanderson II, MPH

Examples

library(dplyr)
library(ggplot2)

set.seed(123)
x <- tidy_inverse_pareto(.n = 100, .shape = 2, .scale = 1)[["y"]]
output <- util_inverse_pareto_param_estimate(x)

output$parameter_tbl
#> # A tibble: 1 × 8
#>   dist_type      samp_size    min   max method shape scale shape_ratio
#>   <chr>              <int>  <dbl> <dbl> <chr>  <dbl> <dbl>       <dbl>
#> 1 Inverse Pareto       100 0.0256  348. MLE     2.06 0.968        2.13

output$combined_data_tbl %>%
  tidy_combined_autoplot()