Package index
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el_engine() - Empirical likelihood (EL) engine for NMAR
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exptilt_engine() - Exponential tilting (ET) engine for NMAR estimation
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exptilt_nonparam_engine() - Nonparametric exponential tilting (EM) engine for NMAR
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nmar() - Not Missing at Random (NMAR) Estimation
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coef(<summary_nmar_result>) - Coefficient table for summary objects
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confint(<summary_nmar_result>) - Confidence intervals for coefficient table (summary objects)
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glance(<nmar_result>) - Glance summary for NMAR results
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print(<nmar_result>) - Print method for nmar_result
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print(<nmar_result_el>) - Print method for EL results
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print(<nmar_result_exptilt>) - Print method for Exponential Tilting results (engine-specific)
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print(<summary_nmar_result>) - Print method for summary.nmar_result
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summary(<nmar_result>) - Summary method for nmar_result
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summary(<nmar_result_el>) - Summary method for EL results
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summary(<nmar_result_exptilt>) - Summary method for Exponential Tilting results (engine-specific)
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tidy(<nmar_result>) - Tidy summary for NMAR results
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engine_config() - Extract engine configuration
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engine_name() - Canonical engine name
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format(<nmar_engine>) - One-line formatter for NMAR engines
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nmar_engine_helpers - S3 helpers for NMAR engine objects
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print(<nmar_engine>) - Print method for NMAR engines
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coef(<nmar_result>) - Default coefficients for NMAR results
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confint(<nmar_result>) - Wald confidence interval for base NMAR results
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fitted(<nmar_result>) - Default fitted values for NMAR results
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formula(<nmar_result>) - Default formula for NMAR results
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se() - Extract standard error for NMAR results
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vcov(<nmar_result>) - Variance-covariance for base NMAR results
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weights(<nmar_result>) - Extract weights from an `nmar_result`
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polish_households - Polish Household Budget Data with Simulated Nonignorable Nonresponse
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riddles_case1 - Riddles Simulation, Case 1: Linear Mean
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riddles_case2 - Riddles Simulation, Case 2: Exponential Mean
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riddles_case3 - Riddles Simulation, Case 3: Sine Wave Mean
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riddles_case4 - Riddles Simulation, Case 4: Cubic Mean
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voting - Aggregated Exit Poll Data for Gangdong-Gap (2012)