coef extracts fitted model coefficients from
fitted model objects. coefficients
is an alias for it.
# S3 method for splm
coef(object, type = "fixed", ...)
# S3 method for splm
coefficients(object, type = "fixed", ...)
# S3 method for spautor
coef(object, type = "fixed", ...)
# S3 method for spautor
coefficients(object, type = "fixed", ...)
# S3 method for spglm
coef(object, type = "fixed", ...)
# S3 method for spglm
coefficients(object, type = "fixed", ...)
# S3 method for spgautor
coef(object, type = "fixed", ...)
# S3 method for spgautor
coefficients(object, type = "fixed", ...)
A fitted model object from splm()
, spautor()
, spglm()
, or spgautor()
.
"fixed"
for fixed effect coefficients, "spcov"
for
spatial covariance parameter coefficients, or "randcov"
for random effect
variance coefficients. Defaults to "fixed"
. If type = "spcov"
, the
coefficient vector is an spcov_params()
object (which means that has class
matching the spatial covariance function used).
Other arguments. Not used (needed for generic consistency).
A named vector of coefficients.
spmod <- splm(z ~ water + tarp,
data = caribou,
spcov_type = "exponential", xcoord = x, ycoord = y
)
coef(spmod)
#> (Intercept) waterY tarpnone tarpshade
#> 2.04980603 -0.08309674 0.08005229 0.28654133
coefficients(spmod)
#> (Intercept) waterY tarpnone tarpshade
#> 2.04980603 -0.08309674 0.08005229 0.28654133
coef(spmod, type = "spcov")
#> de ie range rotate scale
#> 0.11086032 0.02259843 19.11677659 0.00000000 1.00000000
#> attr(,"class")
#> [1] "exponential"