Snd1

This function computes the Cramer-von Mises statistic Sn for goodness-of-fit of the null hypothesis of a univariate uniform distrubtion over [0,1]

Inference, goodness-of-fit tests, and predictions for continuous and discrete univariate Hidden Markov Models (HMM), including zero-inflated distributions. The goodness-of-fit test is based on a Cramer-von Mises statistic and uses parametric bootstrap to estimate the p-value. The description of the methodology is taken from Nasri et al (2020) <doi:10.1029/2019WR025122>.

Bouchra Nasri

GenHMM1d

Goodness-of-Fit for Zero-Inflated Univariate Hidden Markov
Models

Mamadou Yamar Thioub

Snd1 function

<dl><dt>U</dt>
<dd>vector of pseudos-observations (approximating uniform)</dd></dl>

Arguments

Cramer-von Mises statistic for the goodness-of-fit test of the null hypothesis of a univariate uniform distribution over [0,1] — Snd1

<dl>

<dt>U</dt>
<dd>vector of pseudos-observations (approximating uniform)</dd>

</dl>

Snd1: Cramer-von Mises statistic for the goodness-of-fit test of the null hypothesis of a univariate uniform distribution over [0,1]

Description

Usage

Value

Arguments