logCpvMF

log of the Normalization Constant for the von Mises-Fisher distribution
of dimension <code>p</code> with intensity parameter <code>eta</code>.

Implements IV-estimator and Bayesian estimator for linear-in-means Spatial Autoregressive (SAR) model (see LeSage, 1997 <doi:10.1177/016001769702000107>; Lee, 2004 <doi:10.1111/j.1468-0262.2004.00558.x>; Bramoullé et al., 2009 <doi:10.1016/j.jeconom.2008.12.021>), while assuming that only a partial information about the network structure is available. Examples are when the adjacency matrix is not fully observed or when only consistent estimation of the network formation model is available (see Boucher and Houndetoungan, 2025 <doi:10.48550/arXiv.2509.08145>).

Aristide Houndetoungan

PartialNetwork

Estimating Peer Effects Using Partial Network Data

Vincent Boucher

logCpvMF function

<dl><dt>p</dt>
<dd>is the dimension of the hypersphere.</dd>
<dt>eta</dt>
<dd>is the intensity parameter.</dd></dl>

Arguments

Normalization constant of the von Mises-Fisher distribution — logCpvMF

<dl>

<dt>p</dt>
<dd>is the dimension of the hypersphere.</dd>


<dt>eta</dt>
<dd>is the intensity parameter.</dd>

</dl>

logCpvMF: Normalization constant of the von Mises-Fisher distribution

Description

Usage

Value

Arguments

Examples