CRAN Task View: Official Statistics & Survey Methodology

Maintainer:Matthias Templ
Contact:templ at tuwien.ac.at
Version:2011-11-18
This CRAN task view contains a list of packages that includes methods typically used in official statistics and survey methodology. Many packages provide functionality for more than one of the topics listed below. Therefore this list is not a strict categorization and packages can be listed more than once. Please note that not all topics that are of interest in official statistics are listed below, because functionality in R might be missing until now.

Complex Survey Design: General Comments

Complex Survey Design: Details

Complex Survey Design: Point and Variance Estimation

Complex Survey Design: Calibration

Editing and Visual Inspection of Microdata

Editing tools:

Visual tools:

Imputation

A distinction between iterative model-based methods, k-nearest neighbor methods and miscellaneous methods is made. However, often the criteria for using a method depend on the scale of the data, which in official statistics are typically a mixture of continuous, semi-continuous, binary, categorical and count variables. In addition, measurement errors may corrupt non-robust imputation methods. Note that only few imputation methods can deal with mixed types of variables and only few methods account for robustness issues.

EM-based Imputation Methods:

Nearest Neighbor Imputation Methods

Miscellaneous Imputation Methods:

Statistical Disclosure Control

Data from statistical agencies and other institutions are in its raw form mostly confidential and data providers have to be ensure confidentiality by both modifying the original data so that no statistical units can be re-identified and by guaranting a minimum amount of information loss.

Seasonal Adjustment

For general time series methodology we refer to the TimeSeries task view.

Statistical Record Matching

Indices and Indicators

Additional Packages and Functionalities

CRAN packages:

Related links: