sum_squares_grad: Sum of squares gradient

Description Usage Arguments

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.