#' @name mrf2d-family
#' @author Victor Freguglia
#' @title Parameter restriction families
#'
#' @description Different parameter restrictions can be included in estimation processes
#' to make sure `mrf2d` can successfully include a wide range of model types in
#' its inference functions.
#'
#' For model identifiability, at least one linear restriction is necessary.
#' `mrf2d` always assume \eqn{\theta_{0,0,r} = 0} for all relative positions
#' \eqn{r}.
#'
#' Additionally, each family of restrictions may introduce other restrictions:
#'
#' @section 'onepar':
#' This family assumes the model is defined by a single parameter
#' by adding the restriction
#'
#' \deqn{\theta_{a,b,r} = \phi * 1(a != b).}
#'
#' Here \eqn{1()} denotes de indicator function. In words, the parameter must
#' be the same value for any pair with different values and 0 for any
#' equal-valued pair.
#'
#' @section 'oneeach':
#' Similar to `'onepar'`, parameters are 0 for equal-valued pairs and a
#' constant for pairs with different values, but the constant may differ
#' between different relative positions \eqn{r}:
#'
#' \deqn{\theta{a,b,r} = \phi_r * 1(a != b).}
#'
#' @section 'absdif':
#' All parameters \eqn{\theta_{a,b,r}} with the same absolute difference
#' between \eqn{a} and \eqn{b} must be equal within each relative position
#' \eqn{r}. (Note that `'absdif'` is equal to `'oneeach'` for binary images).
#'
#' \deqn{\theta_{a,b,r} = \sum_d \phi_{d,r} * 1(|a-b| == d)}
#'
#' @section 'dif':
#' The same as `'absdif'`, but parameters may differ between positive and
#' negative differences.
#'
#' \deqn{\theta_{a,b,r} = \sum_d \phi_{d,r} * 1(a-b == d)}
#'
#' @section 'free':
#' No additional restriction, all parameters other than \eqn{\theta_{0,0,r}}
#' vary freely.
#'
#' @seealso
#' \code{vignette("mrf2d-family", package = "mrf2d")}
#'
#' A paper with detailed description of the package can be found at
#' \doi{10.18637/jss.v101.i08}.
NULL
mrf2d_families <- c("onepar", "oneeach", "absdif", "dif", "symmetric", "free")
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