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Contingency Random Number Generator — numbers with controllable fat tails, volatility clustering, and scale convergence
Time series implementation for the Julia language focused on efficiency and flexibility
Computation of Sparse Eigenvectors of a Matrix
The main features of dppalomar/sparseeigen are: Numerical Libraries.
Projects with overlapping indexed features include: brotto/crng — Contingency Random Number Generator — numbers with controllable fat tails, volatility clustering, and scale convergence. dysonance/temporal.jl — Time series implementation for the Julia language focused on efficiency and flexibility. fumitoh/modelx — Use Python like a spreadsheet! johnbywater/quantdsl — Quant DSL. joshuaulrich/xts — Extensible time series class that provides uniform handling of many R time series classes by extending zoo. bhftbootcamp/timearrays.jl — Time series library for Julia.
