scholar

Command discovery and navigation hub for all scholar commands

Search arXiv for papers

Add BibTeX entry to bibliography file

Search BibTeX files for entries

Look up paper metadata by DOI

Write methods section for statistical manuscript

Review mathematical proofs in manuscript

Write results section for statistical manuscript

Generate response to reviewer comments

Create comprehensive statistical analysis plan

Generate statistical research hypotheses

Identify research gaps in literature

Scout and evaluate statistical methods for research problems

Analyze Monte Carlo simulation results

Design Monte Carlo simulation study

Generate homework assignments and problem sets with solutions and rubrics

Convert QMD exam files to Canvas LMS QTI format via examark

Manage teaching configuration — scaffold prompts, show resolved config, validate settings

Create a complete demo course with configuration, examples, and test materials

Compare YAML source files with generated JSON to detect sync issues

Generate comprehensive exams with AI-powered questions and answer keys

Generate constructive feedback for student work

Generate comprehensive instructor lecture notes in Quarto format (20-40 pages)

Migrate YAML configuration files from v1 to v2 schema, or convert directory-based week files to a manifest

Pre-release health checks for Scholar projects — version sync, conflict markers, cache cleanup, changelog, and status file

Create quiz questions for course material

Generate grading rubrics for assignments and assessments

Generate lecture slides for a course topic

Generate standalone solution keys from existing assignment files

Generate a comprehensive course syllabus

Sync YAML configuration files to JSON, or bidirectional sync of lesson-plans manifests

Validate R code chunks in .qmd files by extracting and running them via Rscript

Validate YAML configuration files against schemas with multi-level checks

Design and document statistical algorithms with pseudocode and complexity analysis

Computational methods for statistical inference and optimization

Numerical algorithms and computational techniques for statistics

Design and implementation of comprehensive simulation studies

Quality assurance and testing protocols for statistical software

M-estimation, influence functions, and semiparametric efficiency theory for causal inference

DAG and potential outcomes frameworks for causal mediation identification

Core mathematical concepts and theoretical frameworks for statistics

Structured methodology for constructing and verifying mathematical proofs in statistical research

Field connection mapping and systematic ideation for method transfer

Method×Setting matrices and systematic gap identification

Meta-analysis frameworks and methods for mediation studies

Six-phase protocol for adapting methods across research domains

Sensitivity analysis frameworks and assumption-testing methods

Effective communication strategies for statistical methods

JASA/Biometrika manuscript structure with VanderWeele notation standards

Strategic publication planning and venue selection for research