make_mbm: Construct (but do not fit) an mbm model
In mtalluto/mbm: Multifaceted Biodiversity Modelling

Construct (but do not fit) an mbm model

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make_mbm(y, x, y_name, link, likelihood, lengthscale, sparse,
  force_increasing, sparse_inducing = 10, sparse_batch = 10,
  sparse_iter = 10000)

`y`	Square dissimilarity or distance matrix, can be complete or lower triangular only. Row and column names are required and must match the site names in the rows of `x`.
`x`	Matrix giving a series of covariates (in columns) for all sites (in rows). Row names are required. All variables will be included in the model.
`y_name`	A name to give to the y variable
`link`	Link function to use
`likelihood`	Likelihood function to use
`lengthscale`	Either missing (in which case all lengthscales will be optimized) or a numeric vector of length `ncol(x)+1`. If a vector, the first entry corresponds to environmental distance, and entries `i = 1 + (1:n)` correspond to the variable in x[,i]. Values must be `NA` or positive numbers; if NA, the corresponding lengthscale will be set via optimization, otherwise it will be fixed to the value given.
`sparse`	Should we use the stochastic variational GP.
`force_increasing`	Boolean; if true, beta diversity will be constrained to increase with environmental distance
`sparse_inducing`	Number of inducing inputs to use for the svgp
`sparse_batch`	Batchsize to use for the svgp
`sparse_iter`	Maximum number of optimizer iterations for svgp