NonlinearRangeRescalePareto: NonlinearRangeRescalePareto

In Blakemassey/ibmr: Inidividual-Based Modeling (IBM) Simulation Framework for R

Description

Non-linear Range Rescale Pareto Distribution

Usage

NonlinearRangeRescalePareto(
  x,
  scale = shape,
  shape = shape,
  min_prob = NULL,
  max_prob = NULL,
  lower_bound = 1,
  upper_bound = NULL,
  movement_kernel = movement_kernel,
  negative = TRUE
)

Arguments

x	numeric, x (independent variable) value
scale	numeric, scale (sigma) parameter for texmex::gpd
shape	numeric, shape (xi) parameter for texmex::gpd
min_prob	numeric, minimum Pareto probability value
max_prob	numeric, maximum Pareto probability value
lower_bound	numeric, lower limit for rescaled y values
upper_bound	numeric, upper limit for rescaled y values
movement_kernel	kernel, may be used to get the upper_bound
negative	logical, whether or not to multiple outcome by -1

Value

vector

Blakemassey/ibmr documentation built on Dec. 25, 2021, 8:39 a.m.