sar.model: Functions for Spatial Auto-regressive Model

In pboost: Profile Boosting Framework for Parametric Models

Functions for Spatial Auto-regressive Model

Description

• get_rho(): MLE of \rho in SAR model. See psar.

• sar.fit(): Fit SAR model with given \rho.

• set_rook_matrix(): Construct Rook weight adjacency matrix.

• logLik(), BIC(), residuals(), coef().

Usage

get_rho(x, y, w)

sar.fit(x, y, w)

## S3 method for class 'sarpboost'
residuals(object, ...)

## S3 method for class 'sarpboost'
logLik(object, ...)

## S3 method for class 'sarpboost'
BIC(object, ...)

## S3 method for class 'sarpboost'
coef(object, ...)

set_rook_matrix(rNum, cNum)

Arguments

x	Numeric feature matrix.
y	Response vector.
w	Weight matrix (row-sum scaled).
object	Object.
...	Arguments.
rNum	Number of row units in Rook structure.
cNum	Number of column units in Rook structure.

Value

Value or list.

pboost documentation built on May 24, 2026, 9:08 a.m.