ipoptr is an R interface to Ipopt (Interior Point Optimizer), an open source software package for large-scale nonlinear optimization. It can be used to solve general nonlinear programming problems with nonlinear constraints and lower and upper bounds for the controls. Ipopt is written in C++ and is released as open source code under the Eclipse Public License (EPL). It is available from the COIN-OR initiative. The code has been written by Carl Laird and Andreas Waechter, who is the COIN project leader for Ipopt.

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gragusa/CovarianceMatrices.jl

Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation for Julia.

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gragusa/ase

Applied Statistics and Econometrics

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gragusa/ioslides_template

A template for ios slides

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gragusa/r-primer

Public repository.

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gragusa/Coursera-Statistics-One--R

Statistics One is designed to be a comprehensive yet friendly introduction to fundamental concepts in statistics. Comprehensive means that this course provides a solid foundation for students planning to pursue more advanced courses in statistics. Friendly means exactly that. The course assumes very little background knowledge in statistics and introduces new concepts with several fun and easy to understand examples. This course is, quite literally, for everyone. If you think you can't learn statistics, this course is for you. If you had a statistics course before but feel like you need a refresher, this course is for you. Even if you are a relatively advanced researcher or analyst, this course provides a foundation and a context that helps to put one’s work into perspective. Statistics One also provides an introduction to the R programming language. All the examples and assignments will involve writing code in R and interpreting R output. R software is free! What this means is you can download R, take this course, and start programming in R after just a few lectures. That said, this course is not a comprehensive guide to R or to programming in general.

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