View source: R/model_fitting.R
Computes gradient for sum-of-squares
1 | sum_squares_grad(x, models, data, transform, lambda = 0)
|
x |
the transcript model abundances |
models |
the matrix of transcript models |
data |
a vector of the observed data |
transform |
how to transform the data (either "identity" or "log") |
lambda |
the weight of the lasso penalty (not implemented at this time) |
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