NPBayesImputeCat
0.7Non-Parametric Bayesian Multiple Imputation for Categorical Data
Overview
These routines create multiple imputations of missing at random categorical data, and create multiply imputed synthesis of categorical data, with or without structural zeros. Imputations and syntheses are based on Dirichlet process mixtures of multinomial distributions, which is a non-parametric Bayesian modeling approach that allows for flexible joint modeling, described in Manrique-Vallier and Reiter (2014) doi:10.1080/10618600.2013.844700.
Install
Health
- OK2026-04-2214 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-1813 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-04-0114 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- WARNING2026-03-109 OK · 0 NOTE · 5 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- not tracked
- Return-value docs
- not tracked
- References docs
- 16%
Downloads
Dependencies
Code & Tests
- Cyclomatic complexity
- 2.0 median / 9 max
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
146 0 exported
Complexity
3.2 avg / 9 max
Call network
146 nodes / 67 edges
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
Datasets
| Name | Class | Rows × Cols | Also ships in |
|---|---|---|---|
| MCZ | data.frame | 8 × 10 | in 2 packages |
| X | data.frame | 2,000 × 10 | in 2 packages |
| ss16pusa_ds_MCZ | data.frame | 8 × 5 | – |
| ss16pusa_mi_MCZ | data.frame | 8 × 5 | – |
| ss16pusa_sample_nozeros | data.frame | 1,000 × 3 | – |
| ss16pusa_sample_nozeros_miss | data.frame | 1,000 × 3 | – |
| ss16pusa_sample_zeros | data.frame | 1,000 × 5 | – |
| ss16pusa_sample_zeros_miss | data.frame | 1,000 × 5 | – |
People & History
7 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.7Latest
- 0.62025-12-01 · diff ↗
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 0.52022-10-03 · diff ↗
- RR 4.2.0 released · 2022-04-22
- 0.42021-07-08 · diff ↗
- RR 4.1.0 released · 2021-05-18
- 0.32021-01-14 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 0.22019-11-08 · diff ↗
- unarchivedReturned to CRAN2019-11-08
- archivedRemoved from CRAN2019-09-16check problems were not corrected in time
- RR 3.6.0 released · 2019-04-26
Show 2 earlier events
- 0.12018-11-18
- RR 3.5.0 released · 2018-04-23
Package metadata
- First published
- 2018-11-18
- Total releases
- 7 / 8 yrs
- License
- GPL (>= 3) OSI
- Bundled data
- 220 KB / 8 files
- Download size
- 317 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet