The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

NMAR 0.1.1

CRAN release-related fixes
Fix return roxygen keyword in S3 Functions
Add research doi references to DESCRIPTION file

NMAR 0.1.0

Initial CRAN Release

First release of the NMAR package for estimating nonignorable nonresponse (NMAR) bias in survey data.

Methods

Empirical Likelihood (EL): Added el_engine() implementing the estimator of Qin, Leung, and Shao (2002). This method uses empirical likelihood weights satisfying response mechanism equations and auxiliary moment constraints.
Exponential Tilting (Parametric & Nonparametric): Included robust implementations for both microdata (exptilt_engine) and aggregated contingency tables (exptilt_nonparam_engine) based on Riddles, Kim, and Im (2016).

Key Features

Unified API: All estimators are accessible via a single, consistent nmar() interface supporting standard formula syntax (e.g., Y ~ X | Z).
Complex Survey Support: Seamless integration with the survey package. nmar() accepts survey.design objects, automatically handling weights and stratification.
Variance Estimation: Robust bootstrapping (S3) implementation for standard errors and confidence intervals across all engines.
Diagnostics: Rich return objects including convergence statistics, Jacobian condition numbers, and detailed weight summaries.

Major Changes

Refactored Architecture: The exptilt and el engines share a unified structural design, ensuring consistent behavior for controls, standardization, and error handling.
Standardization: Added standardize = TRUE argument to engines to improve numerical stability during optimization.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.