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# File R/ergm.multi-package.R in package ergm.multi, part of the
# Statnet suite of packages for network analysis, https://statnet.org .
#
# This software is distributed under the GPL-3 license. It is free,
# open source, and has the attribution requirements (GPL Section 7) at
# https://statnet.org/attribution .
#
# Copyright 2003-2024 Statnet Commons
################################################################################
## #' @title \pkg{ergm.multi}: Fit, Simulate and Diagnose Exponential-Family Models for Multiple or Multilayer Networks
## #'
## #' @description \pkg{ergm.multi} is a collection of extensions and
## #' utilities for package \CRANpkg{ergm} to facilitate modeling of
## #' multilayer and multi-network models. Some experimental support
## #' for multimode networks is also implemented.
## #'
#' @section Multilayer network models: Also known as multiplex,
#' multirelational, or multivariate networks, in a multilayer network a pair
#' of actors can have multiple simultaneous relations of different
#' types. For example, in the [Lazega] lawyer data set included with
#' this package, each pair of lawyers in the firm can have an advice
#' relationship, a coworking relationship, a friendship
#' relationship, or any combination thereof. Application of ERGMs to
#' multilayer networks has a long history
#' \insertCite{PaWa99l,LaPa99m}{ergm.multi}, and a number of \R
#' packages exist for analysing and estimating them.
#'
#' \pkg{ergm.multi} implements the general approach of
#' \insertCite{KrKo20e;textual}{ergm.multi} for specifying
#' multilayer ERGMs, including Layer Logic and the various
#' cross-layer specifications. Its features include:
#'
#' \describe{
#'
#' \item{seamless integration with [ergm()]:}{Multilayer
#' specification is contained entirely in an [ergm()]-style formula and can be
#' nested with any other [ergm()] terms, including dynamic and multi-network.}
#'
#' \item{unlimited layers:}{The number of layers in the modeled
#' network is limited only by computing power.}
#'
#' \item{flexibility and simplicity:}{*Any* valid binary ERGM can be
#' specified for any layer or a logical combination of layers
#' using simple term operators.}
#'
#' \item{heterogeneous layers:}{A network can have directed and
#' undirected layers, which can be modeled jointly.}
#'
#' \item{multimode/multilevel support (experimental):}{With some
#' care, it is possible to specify models for unipartite and
#' bipartie layers over different subsets of actors, which can be
#' used to specify multimode models.}
#'
#' }
#'
#' See [Layer()] and [`ergmTerm?L`][L-ergmTerm] for examples.
#'
#'
#' @section Multi-network models: Joint modeling of independent
#' samples of networks on disjoint sets of actors have a long
#' history as well \insertCite{@@@ZiVa06m, @SlKo16m, @StSc19m, and @VeSl21e, for example}{ergm.multi}.
#' \pkg{ergm.multi} facilitates
#' fixed-effect models for samples of networks (possibly
#' heterogeneous in size and composition), using a multivariate
#' linear model for each network's ERGM parameters, with
#' network-level attributes serving as predictors, as formulated by
#' \insertCite{SlKo16m;textual}{ergm.multi} and
#' \insertCite{KrCo22t;textual}{ergm.multi}.
#'
#' Its features include:
#'
#' \describe{
#'
#' \item{seamless integration with [ergm()]:}{Multi-network model
#' specification is contained entirely in an [ergm()]-style formula and can be
#' nested with any other [ergm()] terms, including dynamic and multilayer.}
#'
#' \item{flexibility and simplicity:}{*Any* valid binary or valued
#' ERGM can be specified for the networks, using simple term
#' operators and the network-level specification with an
#' [lm()]-style formula.}
#'
#' }
#'
#' See [Networks()], [`ergmTerm?N`][N-ergmTerm] for specification,
#' [gofN()] for diagnostic facilities, and
#' `vignette("Goeyvaerts_reproduction")` for a demonstration.
#'
#' @name ergm.multi-package
#'
#' @references \insertAllCited{}
#' @keywords package models
"_PACKAGE"
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