R Packages

Packages and research tools for econometrics, distributional methods, and spatial or clustered-data applications.

icmkit [GitHub]

Provides tools for Integrated Conditional Moment (ICM) estimation and specification testing in linear and nonlinear regression settings.

estrpac [GitHub]

A working package that temporarily hosts routines used in my research.

cluscov [CRAN] [Website] [GitHub]

With Abdul-Nasah Soale. Implements clustered covariate regression methods for linear and nonlinear models, including settings with rank-deficient design matrices.

bayesdistreg [CRAN] [Website] [GitHub]

With Weige Huang. Provides routines for Bayesian distribution regression, including non-asymptotic, semi-asymptotic, and asymptotic estimators used in related research.

C Projects

Lower-level implementations intended to expose computational details and support faster model estimation.

metricsC [GitHub]

A collection of portable C routines for econometric model estimation. The project emphasizes low-level implementation, computational intuition, and performance, with test programs included for complete C execution.

RdotC [GitHub] [Website]

Provides C routines callable from R for econometric and statistical model estimation, useful both as building blocks and for speed improvements.

Fortran

Numerical routines for econometric modeling in a high-performance compiled environment.

metricsFortran [GitHub]

Contains Fortran subroutines for econometric model estimation, with an emphasis on performance, numerical efficiency, and low-level understanding of common econometric procedures.