itsadug (version 2.4.1)

missing_est: Return indices of data that were not fitted by the model.

Description

Return indices of data that were not fitted by the model.

Usage

missing_est(model)

Arguments

model

A fitted regression model (using lm, glm, gam, or bam).

Value

The indices of the data that were not fitted by the model.

See Also

Other Utility functions: convertNonAlphanumeric(), corfit(), diff_terms(), find_difference(), modeledf(), observations(), print_summary(), refLevels(), res_df(), summary_data(), timeBins()

Examples

# NOT RUN {
data(simdat)

# Add missing values:
set.seed(123)
simdat[sample(nrow(simdat), size=20),]$Y <- NA
# Fit simple linear model:
lm1 <- lm(Y ~ Time, data=simdat)
na.el <- missing_est(lm1)
length(na.el)

# }