RMixtComp
4.1.5Mixture Models with Heterogeneous and (Partially) Missing Data
Overview
Mixture Composer (Biernacki (2015) https://inria.hal.science/hal-01253393v1) is a project to perform clustering using mixture models with heterogeneous data and partially missing data. Mixture models are fitted using a SEM algorithm. It includes 8 models for real, categorical, counting, functional and ranking data.
Install
Health
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-2314 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-03-1613 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 69%
- Documented parameters
- 82%
- Return-value docs
- 100%
- References docs
- 23%
Downloads
Repository
Repository practices
2 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/modal-inria/mixtcomp on 2026-07-19.
Dependencies
Nothing depends on this yet.
Code & Tests
- Cyclomatic complexity
- 3.5 median / 29 max
- Test cases
- 30 / 0.74 per code line
Test coverage
Line coverage
91%
Expression
91.3%
Tests / Examples
90.7% / – ex
Functions
24 5 exported
Complexity
4.6 avg / 29 max
Call network
24 nodes / 21 edges
Call graph
Open call graph →Lowest coverage
24 functions| Function | Cyclo | Coverage |
|---|---|---|
| slopeHeuristic exp | 2 | 0% |
| plot.MixtCompLearn | 4 | 71% |
| print.MixtCompLearn | 3 | 80% |
| hierarchicalLearn | 2 | 82% |
| summary.MixtCompLearn | 3 | 88% |
| hierarchicalMixtCompLearn | 29 | 90% |
Datasets
| Name | Class | Rows × Cols | Also ships in |
|---|---|---|---|
| titanic | data.frame | 1,309 × 8 | – |
People & History
8 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 4.1.5Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 4.1.42023-06-19 · diff ↗
- unarchivedReturned to CRAN2023-06-19
- archivedRemoved from CRAN2023-06-09issues were not corrected in time
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 4.1.32021-03-29 · diff ↗
- 4.1.22020-06-25 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 4.1.02020-01-07 · diff ↗
- 4.0.22019-09-16 · diff ↗
- 4.0.12019-09-05 · diff ↗
Show 2 earlier events
- 4.0.02019-08-28
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2019-08-28
- Total releases
- 8 / 7 yrs
- License
- AGPL-3 OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 898 KB / 4 files
- Download size
- 1.2 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet