sampson

Various relationships between several monks at a monastery collected
  over time.

datasets

This package implements latent Dirichlet allocation (LDA)
        and related models.  This includes (but is not limited to)
        sLDA, corrLDA, and the mixed-membership stochastic blockmodel.
        Inference for all of these models is implemented via a fast
        collapsed Gibbs sampler writtten in C.  Utility functions for
        reading/writing data typically used in topic models, as well as
        tools for examining posterior distributions are also included.

Jonathan Chang

Collapsed Gibbs sampling methods for topic models.

sampson function

<code>sampson</code> is a list whose entries are 18x18 matrices representing
  the pairwise relationships between 18 monks.  The names of the monks
  are given as the row/column names of each matrix.
  
  Each matrix encodes a different relationship (there are a total of 10)
  described by the
  corresponding name field of the list.

format

<cite>F. S. Sampson.  A novitiate in a period of change: An experimental and
  case study of social relationships.  PhD thesis, Cornell University. 1968.</cite>

sampson: Sampson monk data

Description

Usage

Arguments

format

source

See Also

Examples