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

r-aws

condav2.5_6

We provide a collection of R-functions implementing adaptive smoothing procedures in 1D, 2D and 3D. This includes the Propagation-Separation Approach to adaptive smoothing as described in "J. Polzehl and V. Spokoiny (2006) <DOI:10.1007/s00440-005-0464-1>", "J. Polzehl and V. Spokoiny (2004) <DOI:10.20347/WIAS.PREPRINT.998>" and "J. Polzehl, K. Papafitsoros, K. Tabelow (2018) <DOI:10.20347/WIAS.PREPRINT.2520>", the Intersecting Confidence Intervals (ICI), variational approaches and a non-local means filter.

License GPL-2.0-or-later13 versions1 maintainers0 deps721 weekly dl
52
/ 100
Health
safe to use

[email protected]_6 is safe to use (health: 52/100)

Health breakdown0 – 100
10/25
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-aws

First published · 2020-07-21 10:35:28.556000+00:00

Last updated · 2025-09-23 19:51:06.075000+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