VIM - Visualization and Imputation of Missing Values

Provides methods for imputation and visualization of missing values. It includes graphical tools to explore the amount, structure and patterns of missing and/or imputed values, supporting exploratory data analysis and helping to investigate potential missingness mechanisms (details in Alfons, Templ and Filzmoser, <doi:10.1007/s11634-011-0102-y>. The quality of imputations can be assessed visually using a wide range of univariate, bivariate and multivariate plots. The package further provides several imputation methods, including efficient implementations of k-nearest neighbour and hot-deck imputation (Kowarik and Templ 2013, <doi:10.18637/jss.v074.i07>, iterative robust model-based multiple imputation (Templ 2011, <doi:10.1016/j.csda.2011.04.012>; Templ 2023, <doi:10.3390/math11122729>), and machine learning–based approaches such as robust GAM-based multiple imputation (Templ 2024, <doi:10.1007/s11222-024-10429-1>) as well as gradient boosting (XGBoost) and transformer-based methods (Niederhametner et al., <doi:10.1177/18747655251339401>). General background and practical guidance on imputation are provided in the Springer book by Templ (2023) <doi:10.1007/978-3-031-30073-8>.

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hotdeckimputation-methodsmodel-predictionsvisualizationcppopenmp

12.87 score 91 stars 18 dependents 3.7k scripts 18k downloads

surveysd - Survey Standard Error Estimation for Cumulated Estimates and their Differences in Complex Panel Designs

Calculate point estimates and their standard errors in complex household surveys using bootstrap replicates. Bootstrapping considers survey design with a rotating panel. A comprehensive description of the methodology can be found under <https://statistikat.github.io/surveysd/articles/methodology.html>.

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bootstraperror-estimationsurveycpp

7.96 score 10 stars 70 scripts 649 downloads

simPop - Simulation of Complex Synthetic Data Information

Tools and methods to simulate populations for surveys based on auxiliary data. The tools include model-based methods, calibration and combinatorial optimization algorithms, see Templ, Kowarik and Meindl (2017) <doi:10.18637/jss.v079.i10>) and Templ (2017) <doi:10.1007/978-3-319-50272-4>. The package was developed with support of the International Household Survey Network, DFID Trust Fund TF011722 and funds from the World bank.

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cpp

6.86 score 33 stars 111 scripts 409 downloads

tatoo - Combine and Export Data Frames

Functions to combine data.frames in ways that require additional effort in base R, and to add metadata (id, title, ...) that can be used for printing and xlsx export. The 'Tatoo_report' class is provided as a convenient helper to write several such tables to a workbook, one table per worksheet. Tatoo is built on top of 'openxlsx', but intimate knowledge of that package is not required to use tatoo.

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5.54 score 7 stars 25 scripts 204 downloads

x12 - Interface to 'X12-ARIMA'/'X13-ARIMA-SEATS' and Structure for Batch Processing of Seasonal Adjustment

The 'X13-ARIMA-SEATS' <https://www.census.gov/data/software/x13as.html> methodology and software is a widely used software and developed by the US Census Bureau. It can be accessed from 'R' with this package and 'X13-ARIMA-SEATS' binaries are provided by the 'R' package 'x13binary'.

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5.52 score 18 stars 61 scripts 1.0k downloads

STATcubeR - R Interface for the 'STATcube' REST API and Open Government Data

Import data from the 'STATcube' REST API or from the open data portal of Statistics Austria. This package includes a client for API requests as well as parsing utilities for data which originates from 'STATcube'. Documentation about 'STATcubeR' is provided by several vignettes included in the package as well as on the public 'pkgdown' page at <https://statistikat.github.io/STATcubeR/>.

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apidatabaseogdopen-datasdmx

4.26 score 18 stars 8 scripts 608 downloads