pscl: Political Science Statistical Models and Teaching Data

pscl is a collection of datasets and statistical tools developed by Simon Jackman for writing and teaching. The data supports analysis of item-response theory models, roll call data, and zero-inflated count models. It is associated with the Political Science Computational Laboratory.

Use Cases

• Fit Bayesian item-response theory models based on roll call analysis mentioned in the description.
• Estimate zero-inflated and hurdle models for count data based on the statistical methods described.
• Compute seats-votes curves for legislative analysis based on the described political science applications.
• Calculate goodness-of-fit measures for generalized linear models based on the described functionality.

Strengths

• Authored by a known political scientist, Simon Jackman.
• Includes data used in academic writing and teaching, suggesting pedagogical utility.
• Supports a range of advanced statistical models like IRT and zero-inflated models.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Row count, file formats, and column-level documentation are absent.
• Last update date is unknown; freshness unverified.

Provenance

Source

Simon Jackman / Political Science Computational Laboratory

Collection Method

Created for use in writing and teaching.