Confidence intervals for fitted model parameters
Source:R/confint.R
, R/confint_glm.R
confint.spmodel.Rd
Computes confidence intervals for one or more parameters in a fitted model object.
Arguments
- object
A fitted model object from
splm()
,spautor()
,spglm()
, orspgautor()
.- parm
A specification of which parameters are to be given confidence intervals (a character vector of names). If missing, all parameters are considered.
- level
The confidence level required. The default is
0.95
.- ...
Other arguments. Not used (needed for generic consistency).
Value
Gaussian-based confidence intervals (two-sided and equal-tailed) for the
fixed effect coefficients based on the confidence level specified by level
.
For spglm()
or spgautor()
fitted model objects, confidence intervals are
on the link scale.
Examples
spmod <- splm(z ~ water + tarp,
data = caribou,
spcov_type = "exponential", xcoord = x, ycoord = y
)
confint(spmod)
#> 2.5 % 97.5 %
#> (Intercept) 1.4403871 2.65922493
#> waterY -0.2094944 0.04330094
#> tarpnone -0.0720118 0.23211637
#> tarpshade 0.1362743 0.43680835
confint(spmod, parm = "waterY", level = 0.90)
#> 5 % 95 %
#> waterY -0.189173 0.02297954