fsar: Forward Stepwise Spatial Auto-Regressive Model
In pboost: Profile Boosting Framework for Parametric Models

flagsarlm

R Documentation

Forward Stepwise Spatial Auto-Regressive Model

Description

Forward stepwise strategy for spatial auto-regressive model.

Usage

flagsarlm(
  formula,
  data = list(),
  listw,
  na.action,
  Durbin,
  type,
  method = "eigen",
  quiet = NULL,
  zero.policy = NULL,
  interval = NULL,
  tol.solve = .Machine$double.eps,
  trs = NULL,
  control = list(),
  selectFun = logLik,
  stopFun = "EBIC",
  keep = NULL,
  maxK = NULL,
  verbose = FALSE
)

fsar.fit(
  x,
  y,
  w,
  selectFun = logLik,
  stopFun = "EBIC",
  keep = NULL,
  maxK = NULL,
  verbose = FALSE
)

Arguments

`formula`	Parameters passed to spatialreg::lagsarlm.
`data`	Parameters passed to spatialreg::lagsarlm.
`listw`	Parameters passed to spatialreg::lagsarlm.
`na.action`	Parameters passed to spatialreg::lagsarlm.
`Durbin`	Parameters passed to spatialreg::lagsarlm.
`type`	Parameters passed to spatialreg::lagsarlm.
`method`	Parameters passed to spatialreg::lagsarlm.
`quiet`	Parameters passed to spatialreg::lagsarlm.
`zero.policy`	Parameters passed to spatialreg::lagsarlm.
`interval`	Parameters passed to spatialreg::lagsarlm.
`tol.solve`	Parameters passed to spatialreg::lagsarlm.
`trs`	Parameters passed to spatialreg::lagsarlm.
`control`	Parameters passed to spatialreg::lagsarlm.
`selectFun`	Parameter passed to frs.
`stopFun`	Parameter passed to frs.
`keep`	Parameter passed to frs.
`maxK`	Parameter passed to frs.
`verbose`	Parameter passed to frs.
`x`	Matrix of covariates.
`y`	Vector of response.
`w`	Weight matrix (row-sum scaled being one).