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

In itsadug: Interpreting Time Series and Autocorrelated Data Using GAMMs

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.

Author(s)

Jacolien van Rij

See Also

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

Examples

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)

itsadug documentation built on June 17, 2022, 5:05 p.m.