wald: Test significance of TRIM coefficients with the Wald test

In rtrim: Trends and Indices for Monitoring Data

Test significance of TRIM coefficients with the Wald test

Description

Test significance of TRIM coefficients with the Wald test

Usage

wald(x)

## S3 method for class 'trim'
wald(x)

Arguments

x	TRIM output structure (i.e., output of a call to trim)

Value

A model-dependent list of Wald statistics

See Also

Other analyses: coef.trim(), confint.trim(), gof(), index(), now_what(), overall(), overdispersion(), plot.trim.index(), plot.trim.overall(), plot.trim.smooth(), results(), serial_correlation(), summary.trim(), totals(), trendlines(), trim(), vcov.trim()

Examples

data(skylark)
z2 <- trim(count ~ site + time, data=skylark, model=2)
# print info on significance of slope parameters
print(z2)
z3 <- trim(count ~ site + time, data=skylark, model=3)
# print info on significance of deviations from linear trend
wald(z3)

rtrim documentation built on June 22, 2024, 10:39 a.m.