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All three estimators (social_gradient(), segregation_index(), ieop()) return an object of class "lsastrat_estimate" carrying a pooled coefficients data frame (columns estimate, se, statistic, df, p, ci_lo, ci_hi). These methods provide a uniform interface.

Usage

# S3 method for class 'lsastrat_estimate'
print(x, digits = 3, ...)

# S3 method for class 'lsastrat_estimate'
summary(object, ...)

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

# S3 method for class 'lsastrat_estimate'
confint(object, parm, level = 0.95, ...)

# S3 method for class 'lsastrat_estimate'
as.data.frame(x, ...)

Arguments

x, object

An "lsastrat_estimate" object.

digits

Number of digits for print.

...

Unused.

parm

Optional subset of terms (rows) for confint.

level

Confidence level for confint.

Value

coef a named numeric vector; confint a matrix; as.data.frame a data frame with a term column; print/summary the object invisibly.