QuantFit
Andrew Esparon Productivity iPhoneiPadiPod touch
QuantFit is a free Productivity app for iPhone and iPad by Andrew Esparon. Rated 3.0/5 from 1 ratings. Requires iOS 17.0. Updated October 19, 2026.
- Rating
- 3.0
- 1 ratings
- Price
- Free
- on the App Store
- Size
- 54 MB
- Age 4+
- Updated
- Oct 19
- 2026 · v1.3
Screenshots
About QuantFit
QuantFit is a research-grade econometrics workbench for iPhone and iPad. Run real regressions on real data, anywhere. ESTIMATORS • Cross-section and panel: OLS, Fixed Effects, Random Effects, 2SLS / instrumental variables • Time-series cointegration: ARDL bounds testing, NARDL with asymmetric long-run and short-run dynamics, FMOLS, DOLS, CCR • System estimators: VAR with Cholesky impulse-response and forecast-error variance decomposition, VECM with cointegrating rank • Panel dynamic: Pooled Mean Group, Mean Group, Dynamic Fixed Effects, CS-ARDL, Common Correlated Effects • Dynamic GMM: Arellano-Bond difference GMM, Blundell-Bond system GMM, with Windmeijer finite-sample standard errors LIVE DATA Pull data straight into your regressions from World Bank, IMF World Economic Outlook, IMF International Financial Statistics, Penn World Table, and FRED. Country pickers, automatic frequency detection, ragged-panel handling, and multi-frequency support (annual, quarterly, monthly, weekly, daily) are built in. Upload your own CSV or XLSX file too. PUBLICATION OUTPUT Every result renders in a clean coefficient table with significance stars, confidence intervals, and academic-style diagnostic blocks. One-tap exports to LaTeX, PNG, CSV, Excel, and clipboard. Save coefficient plots, actual-vs-fitted, residual diagnostics, and Q-Q plots as publication-ready PNGs. POST-ESTIMATION Residual diagnostics including Ljung-Box, White heteroscedasticity, Jarque-Bera, plus a full residual unit-root suite (ADF, KPSS, DF-GLS, Zivot-Andrews). Save residuals to your dataset and re-diagnose them in one tap. Auto-generated academic paper draft with abstract, methodology, and results narrative. R script export with method-specific packages. WHO IT IS FOR Empirical researchers, PhD students, policy analysts, and economists working with macro, finance, trade, development, or panel data. Anyone who wants to run a real regression on real data without opening a desktop stats package. SHOCK BUILDER Take any estimated regression and run policy or scenario shocks against it. Specify shock magnitudes for any subset of regressors, simulate the dependent variable's response over your chosen horizon, and read the result as a fan chart with confidence bands. Useful for policy counterfactuals, climate scenarios, exchange-rate pass-through, or any "what if X moved by Y" question your model can answer. QuantFit is fast, honest, and academic. No black boxes, no shortcuts, no ads. https://www.apple.com/legal/internet-services/itunes/dev/stdeula/
What’s new
Version 1.3 · Updated October 19, 2026
Verified in the current committed code: - New Panel Logit (Entity FE) estimator for binary outcomes with entity fixed effects. - Flexible standard errors: Classical, HC0–HC3, Newey–West HAC, Clustered, Two-way Clustered, Driscoll–Kraay, and both PCSE variants. - Panel Logit readiness checks on iPhone: sample exclusions, entity event counts, binary coding, duplicate periods, time gaps, rank/within-entity variation, and limited separation screening. - Dedicated results: log-odds coefficients, odds ratios, confidence intervals, entity effects, fitted probabilities, calibration and Brier scores. - Saved results and exports: Excel, CSV, Word reports and full-results JSON retaining covariance, probabilities, source-row alignment and time settings. - Frequency-aware panels: daily, weekly, monthly, quarterly, annual and numeric indices, with sample bounds and automatic/manual HAC/DK lag settings that respect actual period gaps.
App privacy
The developer, Andrew Esparon, reported these privacy practices to Apple.
Data Not Collected
The developer does not collect any data from this app.
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|---|---|---|---|---|
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