I’m happy to announce the release of OptimalTransportNetworks.jl, a modern Julia translation of the MATLAB OptimalTransportNetworkToolbox implementing the quantitative spatial model and algorithms described in Fajgelbaum, P. D., & Schaal, E. (2...

Last week collapse reached 1M downloads off CRAN. This is a milestone that was largely unforeseen for a package that started 4 years ago as a collection of functions intended to ease the R life of an economics master student. Today, collapse provid...

The fastverse is a suite of complementary high-performance packages for statistical computing and data manipulation in R. Developed independently by various people, fastverse packages jointly contribute to the objectives of: Speeding up R throug...

The fastverse is a suite of complementary high-performance packages for statistical computing and data manipulation in R. Developed independently by various people, fastverse packages jointly contribute to the objectives of: Speeding up R throug...

There are several ways to forecast tax revenue. The IMF Financial Programming Manual reviews 3 of them: (i) the effective tax rate approach; (ii) the elasticity approach; and (iii) the regression approach. Approach (iii) typically results in the ...

There are several ways to forecast tax revenue. The IMF Financial Programming Manual reviews 3 of them: (i) the effective tax rate approach; (ii) the elasticity approach; and (iii) the regression approach. Approach (iii) typically results in the most accurate short-term forecasts. The simple regression approach regresses tax revenue on its ...

In previous posts I introduced collapse, a powerful (C/C++ based) new framework for data transformation and statistical computing in R - providing advanced grouped, weighted, time series, panel data and recursive computations in R at superior execution speeds, greater flexibility and programmability. collapse 1.4 released this week additionally introduces an ...

collapse is a C/C++ based package for data transformation and statistical computing in R. Among other features it introduces an excellent and highly efficient architecture for grouped (and weighted) statistical programming in R. This post briefly e...

Introduction collapse is a C/C++ based package for data transformation and statistical computing in R. It was first released on CRAN end of March 2020. The current version 1.3.1 is a mature piece of statistical software tested with __ 7700 unit tests. collapse has 2 main aims: To facilitate complex data transformation, exploration and ...