Skip to main content

Code to perform Scaled Subprofile Model (SSM), a principal components analysis (PCA)-based spatial covariance method.

Project description

The author of this package has not provided a project description

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ssm_pca-0.2.0.tar.gz (13.9 kB view details)

Uploaded Source

File details

Details for the file ssm_pca-0.2.0.tar.gz.

File metadata

  • Download URL: ssm_pca-0.2.0.tar.gz
  • Upload date:
  • Size: 13.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.2

File hashes

Hashes for ssm_pca-0.2.0.tar.gz
Algorithm Hash digest
SHA256 74f470f7cf9da301c951a5c3514b84861ecdda5eef890e8360d27904f738a465
MD5 ef149e1f489c631feade2ca5c61c0f58
BLAKE2b-256 8f8104765331a2389f0ee8e91215fc6c74bd2fdc5d81fcb496cf27121ac1a1bb

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page