d_lognormal

R package to build and simulate deterministic discrete-time compartmental models that can be non-Markov. Length of stay in each compartment can be defined to follow a parametric distribution (d_exponential(), d_gamma(), d_weibull(), d_lognormal()) or a non-parametric distribution (nonparametric()). Other supported types of transition from one compartment to another includes fixed transition (constant()), multinomial (multinomial()), fixed transition probability (transprob()).

Anh Phan Truong Quynh

denim

Generate and Simulate Deterministic Discrete-Time Compartmental
Models

Thinh Ong

Anh Phan

Marc Choisy

Niels Lohman

Bjoern Hoehrmann

Florian Loitsch

Ingo Berg

d_lognormal function

<dl><dt>mu</dt>
<dd>location parameter or the ln mean</dd>
<dt>sigma</dt>
<dd>scale parameter or ln standard deviation</dd>
<dt>dist_init</dt>
<dd>whether to distribute initial value across subcompartments following this distribution. (default to FALSE, meaning init value is always in the first compartment)</dd></dl>

Arguments

Discrete log-normal distribution — d_lognormal

<dl>

<dt>mu</dt>
<dd>location parameter or the ln mean</dd>


<dt>sigma</dt>
<dd>scale parameter or ln standard deviation</dd>


<dt>dist_init</dt>
<dd>whether to distribute initial value across subcompartments following this distribution. (default to FALSE, meaning init value is always in the first compartment)</dd>

</dl>

Discrete log-normal distribution

d_lognormal: Discrete log-normal distribution

Description

Usage

Value

Arguments

Examples