estimatePars: Fit FA isotope distribution with non-linear regression using...
In FAMetA: Fatty Acid Metabolic Analysis

estimatePars

R Documentation

Fit FA isotope distribution with non-linear regression using multiple starting points to find the best fit.

Description

Fit FA isotope distribution with non-linear regression using multiple starting points to find the best fit.

Usage

estimatePars(
  formula,
  gridStart,
  datanls,
  maxiter,
  maxconvergence,
  limitPhi = 0.1
)

Arguments

`formula`	formula.
`gridStart`	starting points grid.
`datanls`	data list.
`maxiter`	parameter passed to nls.control. Positive integer specifying the maximum number of iterations allowed.
`maxconvergence`	positive integer specifying the maximum number of successes before choosing the winning model.
`limitPhi`	upper bound for overdispersion parameter.

Value

model.

Author(s)

M Isabel Alcoriza-Balaguer <maribel_alcoriza@iislafe.es>

References

Daniel Padfield and Granville Matheson (2020). nls.multstart: Robust Non-Linear Regression using AIC Scores. R package version 1.2.0. <https://CRAN.R-project.org/package=nls.multstart>

FAMetA documentation built on May 29, 2024, 8:16 a.m.