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Basic Queries

Timeseries

Extrema

EasyModelAnalysis.get_min_t — Function
get_min_t(prob, sym)
get_min_t(sol, sym)

Returns (t,min) where t is the timepoint where sym reaches its minimum min in the interval prob.tspan.

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EasyModelAnalysis.get_max_t — Function
get_max_t(prob, sym)
get_max_t(sol, sym)

Returns (t,max) where t is the timepoint where sym reaches its maximum max in the interval prob.tspan.

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EasyModelAnalysis.plot_extrema — Function
plot_extrema(prob, sym)

Plots the solution of the observable sym along with showcasing time points where it obtains its maximum and minimum values.

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EasyModelAnalysis.phaseplot_extrema — Function
phaseplot_extrema(prob, sym, plotsyms)

Plots the phase plot solution of the observable sym along with showcasing time points where it obtains its maximum and minimum values. plotsyms should be given as the tuple of symbols for the observables that define the axis of the phase plot.

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Forecasting

EasyModelAnalysis.get_uncertainty_forecast — Function
get_uncertainty_forecast(prob, sym, t, uncertainp, samples)

Get the ensemble of time-series of state sym evaluated at times t for solutions with uncertain parameters specified according to the distributions in uncertainp. The distributions are specified in the form [sym1 => dist1, sym2 => dist2] where dist is a Distributions.jl distribution. Samples is the number of trajectories to run.

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EasyModelAnalysis.get_uncertainty_forecast_quantiles — Function

getuncertaintyforecast_quantiles(prob, sym, t, uncertainp, samples, quants = (0.05, 0.95))

Get the ensemble of time-series of state sym evaluated at times t for solutions with uncertain parameters specified according to the distributions in uncertainp. The distributions are specified in the form [sym1 => dist1, sym2 => dist2] where dist is a Distributions.jl distribution. Samples is the number of trajectories to run.

Returns a tuple of arrays for the quantiles quants which defaults to the 95% confidence intervals.

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