Generalized Efficient Regression-Based Imputation with Latent Processes

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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