depscope
Packages
IntegrateAPI DocsCuratorBenchmarkCoverage
Sign inGet API access
depscope/conda/r-missmda

r-missmda

condav1.21

Imputation of incomplete continuous or categorical datasets; Missing values are imputed with a principal component analysis (PCA), a multiple correspondence analysis (MCA) model or a multiple factor analysis (MFA) model; Perform multiple imputation with and in PCA or MCA.

License GPL-2.0-or-later9 versions1 maintainers0 deps259 weekly dl
62
/ 100
Health
use with caution

[email protected] low health (62/100) — consider alternatives

  • Moderate health score (62/100) — verify manually
Health breakdown0 – 100
20/25
maintenance
3/20
popularity
25/25
security
12/15
maturity
2/15
community
Vulnerabilities
0
none known

Health History

Dependency Tree

License Audit

API access

Get this data programmatically — free, no authentication.

curl https://depscope.dev/api/check/conda/r-missmda

First published · 2020-05-19 19:59:38.662000+00:00

Last updated · 2026-02-13 01:01:37.823000+00:00

DepScope

Package intelligence for AI agents. 19 ecosystems.

Resources
API DocumentationHallucination BenchmarkFor EnterpriseSwagger / OpenAPIPopular PackagesCoverageAI Plugin SetupWatch the pitch (60s)
Legal
Legal hubPrivacy PolicyTerms of ServiceCookie PolicyAcceptable UseAttributionDPASub-processorsSecurityImprintContact中文
© 2026 Cuttalo srl — Italy · VAT IT03242390734Built for AI agents