estMeanVarTrend: Estimate a column-wise mean-variance trend

In combi: Compositional omics model based visual integration

Description

Estimate a column-wise mean-variance trend

Usage

estMeanVarTrend(data, meanMat, baseAbundances, libSizes, plot = FALSE,
  meanVarFit, degree = 2L, constraint = "none", ...)

Arguments

data	the data matrix with n rows
meanMat	the estimated mean matrix
baseAbundances	The baseline abundances
libSizes	Library sizes
plot	A boolean, should the trend be plotted?
meanVarFit	A character string describing the type of trend to be fitted: either "spline" or "cubic"
degree	The degree of the spline
constraint	Constraint to the spline
...	additional arguments passed on to the plot() function

Value

A list with components

meanVarTrend	An smoothed trend function, that can map a mean on a variance
meanVarTrendDeriv	A derivative function of this

combi documentation built on Nov. 8, 2020, 5:34 p.m.