fit_mle

Fit basic Poisson and Negative Binomial models using glmmTMB

Provides a variety of Network Scale-up Models for researchers to
analyze Aggregated Relational Data, through the use of Stan and 'glmmTMB'.
Also provides tools for model checking
In this version, the package implements models from
Laga, I., Bao, L., and Niu, X (2023) <doi:10.1080/01621459.2023.2165929>,
Zheng, T., Salganik, M. J., and Gelman, A. (2006) <doi:10.1198/016214505000001168>,
Killworth, P. D., Johnsen, E. C., McCarty, C., Shelley, G. A.,
and Bernard, H. R. (1998) <doi:10.1016/S0378-8733(96)00305-X>, and
Killworth, P. D., McCarty, C., Bernard, H. R., Shelley, G. A., and
Johnsen, E. C. (1998) <doi:10.1177/0193841X9802200205>.

Ian Laga

networkscaleup

Network Scale-Up Models for Aggregated Relational Data

Owen G. Ward

Anna L. Smith

Benjamin Vogel

Jieyun Wang

Le Bao

Xiaoyue Niu

fit_mle function

<dl><dt>ard</dt>
<dd>n_i by n_k ARD matrix</dd>
<dt>x_cov_global</dt>
<dd>n_i by p_global covariate matrix of global covariates</dd>
<dt>x_cov_local</dt>
<dd>n_i by p_local covariate matrix of local covariates</dd>
<dt>family</dt>
<dd>distribution to fit, either "poisson" or "nbinomial"</dd></dl>

Arguments

Fit basic Poisson and Negative Binomial models using glmmTMB — fit_mle

<dl>

<dt>ard</dt>
<dd>n_i by n_k ARD matrix</dd>


<dt>x_cov_global</dt>
<dd>n_i by p_global covariate matrix of global covariates</dd>


<dt>x_cov_local</dt>
<dd>n_i by p_local covariate matrix of local covariates</dd>


<dt>family</dt>
<dd>distribution to fit, either "poisson" or "nbinomial"</dd>

</dl>

fit_mle: Fit basic Poisson and Negative Binomial models using glmmTMB

Description

Usage

Value

Arguments