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Version

Workspace
tessl
Visibility
Public
Created
Last updated
Describes
pypipkg:pypi/spreg@1.8.x
tile.json

tessl/pypi-spreg

tessl install tessl/pypi-spreg@1.8.0

Spatial econometric regression models for analyzing geographically-related data interactions.

Agent Success

Agent success rate when using this tile

87%

Improvement

Agent success rate improvement when using this tile compared to baseline

0.95x

Baseline

Agent success rate without this tile

92%

Assessment results

Generated

Agent Claude Code

Scenario 1

Regime error separation (separate regressions per regime)

-25%

Scenario 2

Three-stage least squares (3SLS)

-5%

Scenario 3

Anselin-Kelejian test for spatial IV models

40%

Scenario 4

LM tests for spatial error and lag

0%

Scenario 5

R-squared and pseudo R-squared

-5%

Scenario 6

Spatial error models (spatially autocorrelated errors)

0%

Scenario 7

Seemingly Unrelated Regression (SUR) models

8%

Scenario 8

AIC and BIC model selection criteria

0%

Scenario 9

Equation-specific spatial parameters in SUR

-80%

Scenario 10

Spatial multiplier decomposition (multiple methods)

25%