| ProbitSpatial-class {ProbitSpatial} | R Documentation |
Class of Spatial Probit Model.
Description
Class of Spatial Probit Model.
Slots
betanumeric, the estimated parameters for the covariates.
rhonumeric, the estimated spatial autocorrelation parameter.
lambdanumeric, the estimated spatial error autocorrelation parameter.
coeffnumeric, all estimated parameters.
logliknumeric, the likelihood associated to the estimated model.
formulaformula.nobsnumeric, number of observations.
nvarnumeric, number of covariates.
ynumeric, vector of observed dependent variable.
Xmatrix, matrix of covariates.
timenumeric, estimation time.
DGPcharacter, DGP of the model (SAR, SEM or SARAR).
methodcharacter, estimation method ("
conditional" or "full-lik").varcovcharacter, indicates the matrix used in the algorithm ("
varcov" or "precision").WSparseMatrix, the spatial weight matrix of y.
MSparseMatrix, the spatial weight matrix of the disturbances.
iW_CLnumeric, the order of approximation used in the conditional method.
iW_FLnumeric, the order of approximation used inside the likelihood function for the
full-likmethod.iW_FGnumeric, the order of approximation used inside the gradient functions for the
full-likmethod.reltolnumeric, the relative convergence tolerance.
prunenumeric, the pruning for the gradient functions.
envan
environmentcontaining information for use in later function calls to save time.messagea integer giving any additional information or NULL.