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Time series library for Julia
The main features of bhftbootcamp/timearrays.jl are: Numerical Libraries.
Projects with overlapping indexed features include: dppalomar/sparseeigen — Computation of Sparse Eigenvectors of a Matrix. 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. brotto/crng — Contingency Random Number Generator — numbers with controllable fat tails, volatility clustering, and scale convergence.
Computation of Sparse Eigenvectors of a Matrix
Time series implementation for the Julia language focused on efficiency and flexibility
Contingency Random Number Generator — numbers with controllable fat tails, volatility clustering, and scale convergence
