make_invert_object: Make the Inversion Object.
In michaeldumelle/DumelleEtAl2021STLMM: Fit Spatio-Temporal Linear Mixed Models

Make the Inversion Object.

make_invert_object(
  covparam_object,
  chol,
  co = NULL,
  condition,
  h_s_large = NULL,
  h_t_large = NULL,
  h_s_small = NULL,
  h_t_small = NULL,
  logdet,
  m_index = NULL,
  o_index = NULL,
  s_cor,
  t_cor,
  xo,
  yo
)

`covparam_object`	A covariance parameter object from `make_covparam_object()`.
`chol`	Should the Cholesky decomposition be used? If `FALSE`, efficient inversion algorithms are implemented. Defaults to `FALSE`.
`co`	The covariance at prediction locations (if specified)
`condition`	A small number added to the diagonals of matrices before inverting them to prevent ill-conditioning (defaults to `1e-4`).
`h_s_large`	A spatial distance matrix of all spatio-temporal observations (if specified)
`h_t_large`	A temporal distance matrix of all spatio-temopral observations (if specified)
`h_s_small`	A spatial distance matrix of all spatial locations (if specified)
`h_t_small`	A temporal distance matrix of all temporal locations (if specified)
`logdet`	Should the log determinant be returned? (defaults to `FALSE`).
`m_index`	An index of missing values (from the space time cube).
`o_index`	An index of observed values (from the space time cube).
`s_cor`	The spatial correlation `exponential` The exponential correlation (the default). `spherical` The spherical correlation. `gaussian` The Gaussian correlation.
`t_cor`	The temporal correlation `exponential` The exponential correlation (the default). `spherical` The spherical correlation. `gaussian` The Gaussian correlation. `tent` The tent (linear with sill) correlation.
`xo`	The fixed effects design matrix.
`yo`	A response vector.