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UnrollingAverages is a Julia package aimed at deconvolving (or unrolling) moving averages of time series to get the original ones back. UnrollingAverages currently assumes that the moving average is a simple moving average. Further relaxations and extensions may come in the future, see Future Developments section. Installation Press ] in the Julia REPL and then pkg> add UnrollingAverages Usage The package exports a single function called unroll: it returns a Vector whose elements are the possible original time series. unroll( moving_average::Vector{Float64}, window::Int64; initial_conditions::U=nothing, assert_natural::Bool=false ) where {U<:Union{Tuple{Vararg{Union{Int64,Float64}}},Nothing}}
Data Analysis, Reverse Engineering, Data Science, Julia Language, Statistics, Software Development, FOS: Mathematics, Time Series, Deconvolution, Time Series Analysis, Julia Package
Data Analysis, Reverse Engineering, Data Science, Julia Language, Statistics, Software Development, FOS: Mathematics, Time Series, Deconvolution, Time Series Analysis, Julia Package
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