upsilon.ml: Estimate upsilon of the Conway-Maxwell-Poisson Distribution

In opisthokonta/goalmodel: Prediction Models For Goals Scored

Estimate upsilon of the Conway-Maxwell-Poisson Distribution

Description

Given the estimated rate (lambda) or mean (mu) vector, estimate dispersion paramter (uspilon) of the Conway-Maxwell-Poisson Distribution.

Usage

upsilon.ml(
  x,
  parameters,
  param_type = "lambda",
  method = "sum",
  weights = NULL,
  lower = 0.7,
  upper = 4
)

Arguments

x	vector of non-negative integers.
parameters	vector of non-negative rate parameters (lambda) or mean paramters (mu).
param_type	string indicating whether the vector given to the parameters argument is lambda (default) or mu.
method	character; either 'fast' or 'sum'. Passed on to the lambdaCMP function if param_type = 'mu'.
weights	Numeric vector of weigths that determine the influence of each data point on the final parameter estimate.
lower	the lower bound for upsilon
upper	the upper bound for upsilon

See Also

CMP for more functions and details regarding the Conway-Maxwell-Poisson Distribution.

opisthokonta/goalmodel documentation built on April 3, 2024, 1:32 a.m.