These methods tidy the coefficients of spatial autoregression
models generated by functions in the spatialreg
package.
# S3 method for sarlm tidy(x, conf.int = FALSE, conf.level = 0.95, ...)
x | An object returned from |
---|---|
conf.int | Logical indicating whether or not to include a confidence
interval in the tidied output. Defaults to |
conf.level | The confidence level to use for the confidence interval
if |
... | Additional arguments. Not used. Needed to match generic
signature only. Cautionary note: Misspelled arguments will be
absorbed in |
tidy()
, spatialreg::lagsarlm()
, spatialreg::errorsarlm()
,
spatialreg::sacsarlm()
Other spatialreg tidiers:
augment.sarlm()
,
glance.sarlm()
A tibble::tibble()
with columns:
Upper bound on the confidence interval for the estimate.
Lower bound on the confidence interval for the estimate.
The estimated value of the regression term.
The two-sided p-value associated with the observed statistic.
The value of a T-statistic to use in a hypothesis that the regression term is non-zero.
The standard error of the regression term.
The name of the regression term.
if (FALSE) { library(spatialreg) data(oldcol, package = "spdep") listw <- spdep::nb2listw(COL.nb, style = "W") crime_sar <- lagsarlm(CRIME ~ INC + HOVAL, data = COL.OLD, listw = listw, method = "eigen") tidy(crime_sar) tidy(crime_sar, conf.int = TRUE) glance(crime_sar) augment(crime_sar) crime_sem <- errorsarlm(CRIME ~ INC + HOVAL, data = COL.OLD, listw) tidy(crime_sem) tidy(crime_sem, conf.int = TRUE) glance(crime_sem) augment(crime_sem) crime_sac <- sacsarlm(CRIME ~ INC + HOVAL, data = COL.OLD, listw) tidy(crime_sac) tidy(crime_sac, conf.int = TRUE) glance(crime_sac) augment(crime_sac) }