federman/oeli

Utilities for Developing Data Science Software in R

My Utilities for Developing R Software

This R package contains some general utilities that I and maybe others find useful when developing data science software:

• argument validation

• calculating density values

• catching exceptions

• working with Cholesky roots

• differencing covariance matrices

• working with data frames

• working with dates

• creating a dictionary

• working with functions and their arguments

• estimating hidden Markov models

• working with indices

• working with lists

• creating Markov chains

• working with matrices

• helpers for building an R package

• sampling from densities

• storing data

• timed evaluations

• user interactions