{ "_id": "6a106712acfb0bcc41ca90d8", "Package": "msae", "Type": "Package", "Title": "Multivariate Fay Herriot Models for Small Area Estimation", "Version": "0.1.5", "Author": "Novia Permatasari, Azka Ubaidillah", "Maintainer": "Novia Permatasari ", "Description": "Implements multivariate Fay-Herriot models for small area\nestimation. It uses empirical best linear unbiased prediction\n(EBLUP) estimator. Multivariate models consider the correlation\nof several target variables and borrow strength from auxiliary\nvariables to improve the effectiveness of a domain sample size.\nModels which accommodated by this package are univariate model\nwith several target variables (model 0), multivariate model\n(model 1), autoregressive multivariate model (model 2), and\nheteroscedastic autoregressive multivariate model (model 3).\nFunctions provide EBLUP estimators and mean squared error (MSE)\nestimator for each model. 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