sum_squares_grad: Sum of squares gradient
In ndukler/tuSelecter2: Selecting transcript model using PRO-seq
View source: R/model_fitting.R
Description
Computes gradient for sum-of-squares
Usage
1
sum_squares_grad(x, models, data, transform, lambda = 0)
Arguments
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)
ndukler/tuSelecter2 documentation built on Aug. 4, 2020, 1 p.m.
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View source: R/model_fitting.R
Description
Computes gradient for sum-of-squares
Usage
1 | sum_squares_grad(x, models, data, transform, lambda = 0)
|
Arguments
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) |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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