reltest2_predict: Make prediction from one model

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

Make prediction from one model

Description

Make prediction from one model

Usage

reltest2_predict(model = "gev", xx, tt, n0, pp, params, case, nmethods)

Arguments

model	which distribution to test. Possibles values are "exp", "pareto_k1", "halfnorm", "norm", "lnorm", "gumbel", "frechet_k1", "weibull", "gev_k3", "logis", "lst_k3", "cauchy", "norm_p1", "lnorm_p1", "logis_p1", "lst_k3p1", "gumbel_p1", "norm_p12", "gev", "gpd", "gev_p1".
xx	training data
tt	predictor vector
n0	index for predictor vector
pp	probabilities to predict
params	model parameters
case	the case number: different models have different lists of methods
nmethods	the number of methods: different models have different numbers of methods

Value

Vector

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