computeCoefficients: Compute coefficients
In MPAlars: lars algorithm

Description Usage Arguments Value Author(s) Examples

Compute coefficients at a given level of penalty

1	computeCoefficients(x, lambda, mode = "fraction")

`x`	a LarsParth object
`lambda`	If mode =\"norm\", lambda represents the l1-norm of the coefficients with which we want to predict. If mode=\"fraction\", lambda represents the ratio (l1-norm of the coefficientswith which we want to predict)/(l1-norm maximal of the LarsPath object).
`mode`	"fraction" or "norm".

A list containing

variable: Index of non-zeros coefficients.
coefficient: non-zeros coefficients.

Quentin Grimonprez

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dataset=MPA.simul(50,10000,0.4,10,50,matrix(c(0.1,0.8,0.02,0.02),nrow=2))
result=MPA.lars(dataset$data[1:40,],dataset$response[1:40])
coeff=computeCoefficients(result,0.3,"fraction")