Description Usage Arguments Value Examples
Calculates the log likelihood value from the sum of the squared errors, sigma2, and the total number of data points.
1 | log_lik(x, y, n)
|
x |
is the minimum SSE from the slsqp() fitting |
y |
is sigma2 cooresponding to the minimum SSE |
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 Log Likelihood
1 | log_lik(1,1/128,128)
|
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