# Estimation under not Missing at Random Nonresponse

## Documentation for package ‘NMAR’ version 0.1.2

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

coef.nmar_result | Default coefficients for NMAR results
coef.summary_nmar_result | Coefficient table for summary objects
confint.nmar_result | Wald confidence interval for NMAR results
confint.summary_nmar_result | Confidence intervals for summary objects
el_engine | Empirical likelihood engine for NMAR
engine_config | Extract engine configuration
engine_name | Canonical engine name
exptilt_engine | Exponential tilting engine for NMAR
exptilt_nonparam_engine | Nonparametric exponential tilting engine for NMAR
fitted.nmar_result | Default fitted values for NMAR results
format.nmar_engine | Formatter for engines
formula.nmar_result | Default formula for NMAR results
glance.nmar_result | Glance summary for NMAR results
nmar | Not Missing at Random Estimation
polish_households | Polish Household Budget Data with Simulated Nonignorable Nonresponse
print.nmar_engine | Print method for engines
print.nmar_result | Print method for nmar_result
print.nmar_result_el | Print method for EL results
print.nmar_result_exptilt | Print method for Exponential Tilting results (engine-specific)
print.summary_nmar_result | Print method for summary.nmar_result
riddles_case1 | Riddles Simulation, Case 1: Linear Mean
riddles_case2 | Riddles Simulation, Case 2: Exponential Mean
riddles_case3 | Riddles Simulation, Case 3: Sine Wave Mean
riddles_case4 | Riddles Simulation, Case 4: Cubic Mean
se | Extract standard error for NMAR results
summary.nmar_result | Summary method for nmar_result
summary.nmar_result_el | Summary method for EL results
summary.nmar_result_exptilt | Summary method for Exponential Tilting results (engine-specific)
tidy.nmar_result | Tidy summary for NMAR results
vcov.nmar_result | Variance-covariance for NMAR results
voting | Aggregated Exit Poll Data for Gangdong-Gap (2012)
weights.nmar_result | Extract weights from an 'nmar_result'