factor_estimate_gld_3points: factor_estimate_gld_3points
In daviddoret/GRCRToolkit: GRC Toolkit

Description Usage Format Details Value Fields Inherits Methods Examples

A PERT-like factor estimate based on the Generalized Lambda (aka Tukey) Distribution.

1	factor_estimate_gld_3points

An object of class R6ClassGenerator of length 24.

For the time being, I only support GLD's FMKH parameterization. If other parameterizations become necessary / interesting in the future, these will require specifically dedicated R6 classes, because the way we tweak lambda parameters here is strongly linked to FMKH logic.

Future enhancements: - Make lambda parameters read-only for class users in such a way as to guarantee consistency between the fitted distribution and the estimation parameters.

An instance of the factor_estimate_gld_3points R6Class.

estimated_range_min_value: The lower value of the 3 points estimate.
estimated_mode_value: The "typical" value of the 3 points estimate.
estimated_range_max_value: The upper value of the 3 points estimate.
estimated_range_size_proba: Default: .9. Possible values: 0 < x < 1. The size of the probabilistic range estimate. The default .9 leaves .05 on both sides of the distribution.
limit_min_value: A strict lower limit. 0 if you don't consider positive risks.
limit_max_value: A strict upper limit. May be the company stock value if you don't consider externalities.

factor_estimate_gld

new(estimated_range_min_value, estimated_mode_value, estimated_range_max_value, estimated_range_size_proba, limit_min_value, limit_max_value): Create a new object of this class.
plot_density(): Plot the PDF.

fe1 <- factor_estimate_gld_3points$new(
  estimated_range_min_value = 10,
  estimated_mode_value = 90,
  estimated_range_max_value = 100,
  estimated_range_size_proba = .9,
  limit_min_value = 0,
  limit_max_value = 200)
fe1$plot_density()