fit_var: sigma^2 estimation
In RNAdecay: Maximum Likelihood Decay Modeling of RNA Degradation Data

Calculates the variance (sigma^2) estimate from the sum of the squared errors from the fit model.

1	fit_var(sse, n)

`sse`	is the minimum SSE (sum of the squared errors) from the slsqp() fitting
`n`	is the total number of observations of a single gene (e.g., 8 time points X 4 replicates X 4 treatments/genotypes = 128)

returns the sigma squared estimate

1	fit_var(1,128)

RNAdecay documentation built on Nov. 8, 2020, 5:52 p.m.

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