DONNEE_with_serial_interval

A data frame containing serial interval information for transmission pairs.

datasets

Provides various functions for parameter estimation of one-dimensional
stable distributions and their mixtures. It implements a diverse set of
estimation methods, including quantile-based approaches, regression methods
based on the empirical characteristic function (empirical, kernel, and
recursive), and maximum likelihood estimation. For mixture models, it provides
stochastic expectation–maximization (SEM) algorithms and Bayesian estimation
methods using sampling and importance sampling to overcome the long burn-in
period of Markov Chain Monte Carlo (MCMC) strategies. The package also includes
tools and statistical tests for analyzing whether a dataset follows a stable
distribution. Some of the implemented methods are described in
Hajjaji, O., Manou-Abi, S. M., and Slaoui, Y. (2024) <doi:10.1080/02664763.2024.2434627>.

Solym Manou-Abi

MixStable

Parameter Estimation for Stable Distributions and Their Mixtures

Adam Najib

Yousri Slaoui

DONNEE_with_serial_interval function

A data frame with columns:<dl>
 <dt>ID</dt>
<dd>Integer. Unique identifier.</dd> <dt>x.lb</dt>
<dd>Date. Lower bound of infector symptom onset (YYYY-MM-DD).</dd> <dt>x.ub</dt>
<dd>Date. Upper bound of infector symptom onset (YYYY-MM-DD).</dd> <dt>y</dt>
<dd>Date. Infectee symptom onset (YYYY-MM-DD).</dd> <dt>serial_interval</dt>
<dd>Integer. Serial interval in days.</dd>
</dl>

Format

Example serial interval data — DONNEE_with_serial_interval

A data frame with columns:<dl>
 <dt>ID</dt>
<dd>Integer. Unique identifier.</dd>

 <dt>x.lb</dt>
<dd>Date. Lower bound of infector symptom onset (YYYY-MM-DD).</dd>

 <dt>x.ub</dt>
<dd>Date. Upper bound of infector symptom onset (YYYY-MM-DD).</dd>

 <dt>y</dt>
<dd>Date. Infectee symptom onset (YYYY-MM-DD).</dd>

 <dt>serial_interval</dt>
<dd>Integer. Serial interval in days.</dd>


</dl>

DONNEE_with_serial_interval: Example serial interval data

Description

Usage

Arguments

Format