# Estimation under not Missing at Random Nonresponse

## Documentation for package ‘NMAR’ version 0.1.1

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

## 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 base NMAR results
confint.summary_nmar_result | Confidence intervals for coefficient table (summary objects)
el_engine | Empirical likelihood (EL) engine for NMAR
engine_config | Extract engine configuration
engine_name | Canonical engine name
exptilt_engine | Exponential tilting (ET) engine for NMAR estimation
exptilt_nonparam_engine | Nonparametric exponential tilting (EM) engine for NMAR
fitted.nmar_result | Default fitted values for NMAR results
format.nmar_engine | One-line formatter for NMAR engines
formula.nmar_result | Default formula for NMAR results
glance.nmar_result | Glance summary for NMAR results
nmar | Not Missing at Random (NMAR) Estimation
nmar_engine_helpers | S3 helpers for NMAR engine objects
polish_households | Polish Household Budget Data with Simulated Nonignorable Nonresponse
print.nmar_engine | Print method for NMAR 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 base NMAR results
voting | Aggregated Exit Poll Data for Gangdong-Gap (2012)
weights.nmar_result | Extract weights from an 'nmar_result'