Skip to main content

MicceriRD

See https://pdfs.semanticscholar.org/2903/180261ee0d99a27cfe85cde9cf4af74923c6.pdf

Micceri, Theodore, 1989. The Unicorn, The Normal Curve, and Other Improbable Creatures. Psychological Bulletin 1989, Vol. 105. No. 1, 156-166

Contains both sampling functions and distributions - all in the form of Numpy arrays.

MicceriRD.Sampling.Name_of_distribution(k,n) for random sample array of k samples of n size.

MicceriRD.Name_of_distribution for distribution array itself.

Metadata

Release files for MicceriRD 0.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for MicceriRD 0.2
File Size Uploaded Provenance
MicceriRD-0.2.tar.gz 7.0 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for MicceriRD 0.2
File Interpreter ABI Platform
MicceriRD-0.2-py3-none-any.whl Python 3 none any Details

Total release size: 15.2 kB

Release files / MicceriRD-0.2.tar.gz

Download URL MicceriRD-0.2.tar.gz
Size 7.0 kB
Tags Source
SHA-256 checksum
How to use checksums
3549a9cd8dc0229d0be8140795e5460e700d17c0e2b7e5fd8a827e056c2544ef
BLAKE2b-256 checksum
How to use checksums
bca379a0860011e5f6324b86f06c2dbcbfe1d012344cdaed433d22474161a47d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.1.0 requests-toolbelt/0.8.0 tqdm/4.29.1 CPython/3.6.9

Release files / MicceriRD-0.2-py3-none-any.whl

Download URL MicceriRD-0.2-py3-none-any.whl
Size 8.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
d5acddb117c5de715700176bef984731a8ad368f6ce97cb206287395e34d67b8
BLAKE2b-256 checksum
How to use checksums
57af94b9115e4d76fcf53c1011a4867b7d9d7e4dcd2abb83e3b087b1cc835471
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.1.0 requests-toolbelt/0.8.0 tqdm/4.29.1 CPython/3.6.9

Security for MicceriRD 0.2

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

0.2 This release

2 release files No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page