qgamma_ppm: Temporary dummy for one of the ppm models

In fitdistcp: Distribution Fitting with Calibrating Priors for Commonly Used Distributions

Temporary dummy for one of the ppm models

Description

Temporary dummy for one of the ppm models

Usage

qgamma_ppm(x, p)

Arguments

x	a vector of training data values
p	a vector of probabilities at which to generate predictive quantiles

Value

q**** returns a list containing at least the following:

• ml_params: maximum likelihood estimates for the parameters.

• ml_value: the value of the log-likelihood at the maximum.

• standard_errors: estimates of the standard errors on the parameters, from the inverse observed information matrix.

• ml_quantiles: quantiles calculated using maximum likelihood.

• cp_quantiles: predictive quantiles calculated using a calibrating prior.

• maic: the AIC score for the maximum likelihood model, times -1/2.

• cp_method: a comment about the method used to generate the cp prediction.

For models with predictors, q**** additionally returns:

• predictedparameter: the estimated value for parameter, as a function of the predictor.

• adjustedx: the detrended values of x

r**** returns a list containing the following:

• ml_params: maximum likelihood estimates for the parameters.

• ml_deviates: random deviates calculated using maximum likelihood.

• cp_deviates: predictive random deviates calculated using a calibrating prior.

• cp_method: a comment about the method used to generate the cp prediction.

d**** returns a list containing the following:

• ml_params: maximum likelihood estimates for the parameters.

• ml_pdf: density function from maximum likelihood.

• cp_pdf: predictive density function calculated using a calibrating prior (not available in EVT routines, for mathematical reasons, unless using RUST).

• cp_method: a comment about the method used to generate the cp prediction.

p*** returns a list containing the following:

• ml_params: maximum likelihood estimates for the parameters.

• ml_cdf: distribution function from maximum likelihood.

• cp_cdf: predictive distribution function calculated using a calibrating prior (not available in EVT routines, for mathematical reasons, unless using RUST).

• cp_method: a comment about the method used to generate the cp prediction.

t*** returns a list containing the following:

• theta_samples: random samples from the parameter posterior.

fitdistcp documentation built on June 8, 2025, 1:04 p.m.