hang_rootogram_ard

Hanging Rootogram for Fitted ARD Model

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

hang_rootogram_ard function

<dl><dt>ard</dt>
<dd>ard matrix</dd>
<dt>model_fit</dt>
<dd>fitted model object</dd>
<dt>width</dt>
<dd>width of bars</dd>
<dt>x_max</dt>
<dd>the maximum x value to display</dd>
<dt>by_group</dt>
<dd>logical; if TRUE, create separate rootograms for each column (group)</dd></dl>

Arguments

Hanging Rootogram for Fitted ARD Model — hang_rootogram_ard

<dl>

<dt>ard</dt>
<dd>ard matrix</dd>


<dt>model_fit</dt>
<dd>fitted model object</dd>


<dt>width</dt>
<dd>width of bars</dd>


<dt>x_max</dt>
<dd>the maximum x value to display</dd>


<dt>by_group</dt>
<dd>logical; if TRUE, create separate rootograms for each column (group)</dd>

</dl>

hang_rootogram_ard: Hanging Rootogram for Fitted ARD Model

Description

Usage

Value

Arguments