Projects: pypi: do-calculus

https://packages.ecosyste.ms/registries/pypi.org/packages/do-calculus

A Python implementation of the do-calculus of Judea Pearl et. al.
6 versions
Latest release: over 4 years ago
18 downloads last month

Enhanced Analysis
Repository Activity:
Repository Owner: Braden Dubois (user)
Software Developer @ Siemens EDA đŸ§‘â€đŸ’»
README Analysis:
Science Score: 80/100
Starting Score: 100 points
Bonuses:
  • +2 Science terms in README
    1 scientific terms found in README
Penalties:
  • -10 PyPI ecosystem
    General-purpose ecosystem
  • -10 No science terms in description
    No scientific terms found in description

Very Likely Science (80)

Papers Mentioning do-calculus 7

10.12688/f1000research.7647.1
CausalTrail: Testing hypothesis using causal Bayesian networks
Cited by: 1
Author(s): Daniel Stöckel, Florian Schmidt, Patrick Trampert, Hans‐Peter Lenhof
Software Mentions: 3
Published: over 10 years ago
10.1371/journal.pone.0152860
Predicting miRNA Targets by Integrating Gene Regulatory Knowledge with Expression Profiles
Cited by: 14
Author(s): Weijia Zhang, Thuc Duy Le, Lin Liu, Zhi‐Hua Zhou, Jiuyong Li
Software Mentions: 2
Published: over 10 years ago
10.1186/s12874-016-0206-3
A simulation study on matched case-control designs in the perspective of causal diagrams
Cited by: 8
Author(s): Hongkai Li, Zhongshang Yuan, Ping Su, Tingting Wang, Yuanyuan Yu, Xiaoru Sun, Fuzhong Xue
Software Mentions: 1
Published: about 10 years ago
10.1186/s12863-020-00876-w
A novel path-specific effect statistic for identifying the differential specific paths in systems epidemiology
Cited by: 1
Author(s): Hongkai Li, Zhi Geng, Xiaoru Sun, Yuanyuan Yu, Fuzhong Xue
Software Mentions: 1
Published: about 6 years ago
10.1186/s41512-021-00092-9
A scoping review of causal methods enabling predictions under hypothetical interventions
Cited by: 21
Author(s): Lijing Lin, Matthew Sperrin, David Jenkins, Glen P. Martin, Niels Peek
Software Mentions: 1
Published: over 5 years ago
10.1186/s12888-017-1384-1
Machine learning methods to predict child posttraumatic stress: a proof of concept study
Cited by: 56
Author(s): Glenn Saxe, Sisi Ma, Jiwen Ren, Constantin F. Aliferis
Software Mentions: 1
Published: about 9 years ago
10.1186/s12874-017-0449-7
The alarming problems of confounding equivalence using logistic regression models in the perspective of causal diagrams
Cited by: 2
Author(s): Yuanyuan Yu, Hongkai Li, Xiaoru Sun, Ping Su, Tingting Wang, Yi Liu, Zhongshang Yuan, Yanxun Liu, Fuzhong Xue
Software Mentions: 1
Published: over 8 years ago