SmoothGradient: SmoothGradient

In lch14forever/BEEM: BEEM: Estimating Lotka-Volterra models from time-course microbiome sequencing data

SmoothGradient

Description

Function to smooth data and calculate derivative with pspline

Usage

SmoothGradient(
  m,
  t,
  breaks,
  t.out = t,
  deriv = 1,
  ncpu = 10,
  method = "pspline",
  ...
)

Arguments

m	a matrix of data (variable in columns and time in rows)
t	matrix or vector of time points for each data
breaks	break points to re-smooth the data
t.out	time stamps of output (default: to be the same as input)
deriv	order of derivative to calculate
ncpu	number of cpus (default: 10)
method	smoothing method used to calculate gradients (default: pspline)

Value

a matrix of gradients calculated (deriv=1), a matrix of smoothed data (deriv=0)

lch14forever/BEEM documentation built on April 5, 2025, 11:24 p.m.