mikeguggis

augsynth

Augmented Synthetic Control Method

fife

Finite-Interval Forecasting Engine: Machine learning models for discrete-time survival analysis and multivariate time series forecasting

BiProbitPartial

A suite of functions to estimate, summarize and perform predictions with the bivariate probit subject to partial observability. The frequentist and Bayesian probabilistic philosophies are both supported. The frequentist method is estimated with maximum likelihood and the Bayesian method is estimated with a Markov Chain Monte Carlo (MCMC) algorithm developed by Rajbanhdari, A (2014) <doi:10.1002/9781118771051.ch13>.

BiProbitPartial-1

:exclamation: This is a read-only mirror of the CRAN R package repository. BiProbitPartial — Bivariate Probit with Partial Observability

lifelines

Survival analysis in Python

StackExchange

Disequilibrium

Estimate, summarize, and perform predictions with the market in disequilibrium model

mikeguggis/BiProbitPartial

A suite of functions to estimate, summarize and perform predictions with the bivariate probit subject to partial observability. The frequentist and Bayesian probabilistic philosophies are both supported. The frequentist method is estimated with maximum likelihood and the Bayesian method is estimated with a Markov Chain Monte Carlo (MCMC) algorithm developed by Rajbanhdari, A (2014) <doi:10.1002/9781118771051.ch13>.

mikeguggis/BiProbitPartial-1

:exclamation: This is a read-only mirror of the CRAN R package repository. BiProbitPartial — Bivariate Probit with Partial Observability

mikeguggis/lifelines

Survival analysis in Python

mikeguggis/StackExchange