mspline: Fit monotonous smooth spline
In jwyang16/DECODER: DECODER: DECOnvolution of DNA accEssibility using anchor-based Regression

This function is used to fit monotonous smooth spline.

1	mspline(x, y, k = 8, lower = NA, upper = NA)

`x`	the independent variables
`y`	the dependent variables
`k`	number of knots. Default=8
`lower`	the lower bound of spline. Default=NA
`upper`	the upper bound of spline. Default=NA

`sm`	smooth condition
`p`	spline

## Not run: 
fv<-mspline(anchor.bulk,anchor.locus,k=8)

## End(Not run)

jwyang16/DECODER documentation built on Nov. 4, 2019, 3:28 p.m.

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Description