# Generalized Efficient Regression-Based Imputation with Latent Processes

## Documentation for package ‘gerbil’ version 0.1.9

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

cor_gerbil | Correlation Analysis for 'gerbil' Objects
gerbil | General Efficient Regression-Based Imputation with Latent processes
gof_gerbil | Goodness-of-fit testing for 'gerbil' objects
ihd | Example data from the India Human Development Survey
ihd_mar | Missing at Random example data from the India Human Development Survey
ihd_mcar | Missing Completely at Random example data from the India Human Development Survey
imputed | Extracting imputed datasets from gerbil objects
plot.gerbil | Plotting for gerbil objects
print.cor_gerbil | Prints a 'cor_gerbil' object. Printed output includes the average difference of correlations, as well as summaries of the test statistics based on Fisher's z and their p-values.
print.gerbil | Prints a 'gerbil' object. Printed output includes a variable-by-variable summary of variable types and missingness rates. The implemented predictor matrix is also provided.
print.gof_gerbil | Prints a 'gof_gerbil' object. Printed output pertains to the goodness-of-fit tests that are applied in order to compare the distribution between observed and imputed cases for relevant variables or variable pairs.
summary.cor_gerbil | Summarises a 'gerbil' object. Printed output includes a variable-by-variable summary of variable types and missingness rates. The implemented predictor matrix is also provided.
summary.gerbil | Summarises a 'gerbil' object. Printed output includes a variable-by-variable summary of variable types and missingness rates. The implemented predictor matrix is also provided.
summary.gof_gerbil | Summarises a 'gerbil' object. Printed output pertains to the goodness-of-fit tests that are applied in order to compare the distribution between observed and imputed cases for relevant variables or variable pairs.
write.gerbil | Write imputed datasets from gerbil objects to a file or files