Compare the proportion of total variability explained by the fixed effects and each variance parameter.
Usage
varcomp(object, ...)
# S3 method for splm
varcomp(object, ...)
# S3 method for spautor
varcomp(object, ...)
# S3 method for spglm
varcomp(object, ...)
# S3 method for spgautor
varcomp(object, ...)Arguments
- object
A fitted model object (e.g., from
splm(),spautor(),spglm(), orspgautor()).- ...
Other arguments. Not used (needed for generic consistency).
Value
A tibble that partitions the the total variability by the fixed effects
and each variance parameter. The proportion of variability explained by the
fixed effects is the pseudo R-squared obtained by psuedoR2(). The
remaining proportion is spread accordingly among each variance parameter:
"de", "ie", and if random effects are used, each named random effect.
If spautor() objects have unconnected sites, a list is returned with three elements:
"connected" for a variability comparison among the connected sites;
"unconnected" for a variability comparison among the unconnected
sites; and "ratio" for the ratio of the variance of the connected
sites relative to the variance of the unconnected sites.
Examples
spmod <- splm(z ~ water + tarp,
data = caribou,
spcov_type = "exponential", xcoord = x, ycoord = y
)
varcomp(spmod)
#> # A tibble: 3 × 2
#> varcomp proportion
#> <chr> <dbl>
#> 1 Covariates (PR-sq) 0.396
#> 2 de 0.501
#> 3 ie 0.102