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The duration package supports fitting statistical models for event time data (also known as "survival analysis") in Go.

Currently, proportional hazards regression ("Cox models"), Kaplan-Meier estimates of the marginal survival function, and estimation of the cumulative incidence function are supported. The analysis functions accept data using the dstream interface.

Link to the godoc documentation.

Here is an example of a proportional hazards regression:

// Prepare a design matrix using a formula
fml := "age + sex + severity + age*sex + age*severity"
dx := formula.New(fml, dx).Keep("Entry", "Time", "Status").Done()
da = dstream.MemCopy(dx)

// Fit the model
ph := NewPHReg(da, "Time", "Status").Entry("Entry").Done()
rslt := ph.Fit()
fmt.Printf("%s\n", rslt.Summary())

Features

• Support for entry times (delayed entry) and stratification