Name: tessl/pypi-spreg
Author: tessl

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tessl/pypi-spreg

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

Overall
score

87%

Overview

Eval results

Files

Evaluation results

100%

Model Comparison Tool

AIC and BIC model selection criteria

Criteria

Without context

With context

Uses spreg.OLS

100%

Accesses AIC attribute

100%

Accesses BIC attribute

100%

Proper model specification

100%

Criterion comparison logic

100%

Multiple model fitting

100%

Regional Housing Price Analysis with Spatial Error Correction

Spatial error models (spatially autocorrelated errors)

Criteria

Without context

With context

Spatial error class usage

100%

Lambda parameter extraction

100%

Coefficient extraction

100%

Standard errors extraction

100%

Pseudo R-squared

100%

Spatial weights handling

100%

Variable names mapping

100%

75%

-25%

Regional Housing Price Analysis with Separate Regime Modeling

Regime error separation (separate regressions per regime)

Criteria

Without context

With context

OLS_Regimes class usage

100%

regime_err_sep parameter

100%

Regimes array specification

100%

Spatial weights integration

100%

Model results extraction

100%

Comparison baseline

100%

85%

-5%

Regional Economic Spillover Analysis

Three-stage least squares (3SLS)

Criteria

Without context

With context

ThreeSLS class usage

100%

83%

System data structure

100%

Endogenous variables specification

100%

Instruments specification

100%

Spatial weights integration

Results extraction

100%

98%

Multi-Equation Economic System Estimator

Seemingly Unrelated Regression (SUR) models

Criteria

Without context

With context

SUR Class Usage

100%

Data Structure Preparation

100%

Coefficient Extraction

100%

Standard Error Extraction

100%

R-squared Access

80%

Log-likelihood Access

100%

40%

Spatial Housing Price Analysis with Endogenous Variables

Anselin-Kelejian test for spatial IV models

Criteria

Without context

With context

TSLS model instantiation

100%

Spatial weights parameter

100%

Endogeneity diagnostic enabled

100%

Anselin-Kelejian test enabled

100%

Extract endogeneity results

100%

Extract spatial test results

100%

95%

-5%

Model Fit Evaluator

R-squared and pseudo R-squared

Criteria

Without context

With context

OLS class usage

100%

R-squared access

100%

Adjusted R-squared access

100%

TSLS class usage

100%

Pseudo R-squared access

100%

Array conversion

100%

20%

-80%

Regional Economic Analysis System

Equation-specific spatial parameters in SUR

Criteria

Without context

With context

SUR model class usage

100%

Dictionary data structure

100%

Equation-specific spatial parameters

100%

Spatial parameter extraction

100%

80%

Coefficient and standard error extraction

100%

80%

100%

Housing Price Spatial Analysis Tool

LM tests for spatial error and lag

Criteria

Without context

With context

OLS Model Setup

100%

Spatial Diagnostics Enabled

100%

LM Error Extraction

100%

LM Lag Extraction

100%

Test Interpretation

100%

25%

Spatial Multiplier Effects Analyzer

Spatial multiplier decomposition (multiple methods)

Criteria

Without context

With context

Spatial Lag Model

100%

Multiplier Calculation

100%

Multiple Methods

100%

Spatial Parameter Extraction

100%

Effect Decomposition

100%

Output Structure

100%

Install with Tessl CLI

npx tessl i tessl/pypi-spreg

Evaluated: about 2 months ago
Agent: Claude Code

Table of Contents

Model Comparison Tool Regional Housing Price Analysis with Spatial Error Correction Regional Housing Price Analysis with Separate Regime Modeling Regional Economic Spillover Analysis Multi-Equation Economic System Estimator Spatial Housing Price Analysis with Endogenous Variables Model Fit Evaluator Regional Economic Analysis System Housing Price Spatial Analysis Tool Spatial Multiplier Effects Analyzer