get_gradient_full: Nonlinear mixed effects model based on isotopic distribution

In mstaniak/SharedPeptidesIso:

Description

Nonlinear mixed effects model based on isotopic distribution

Usage

get_gradient_full(
  random_design,
  proteins_design,
  fixed_design,
  response,
  num_random_effects,
  num_fixed_effects,
  num_proteins,
  random_effects_counts,
  independent_unit
)

Arguments

random_design	design matrix for random effects
proteins_design	design matrix for protein parameters
fixed_design	design matrix for fixed effects
response	response vector
num_random_effects	number of random effects
num_fixed_effects	number of fixed effects
num_proteins	number of proteins
random_effects_counts	counts of groups for each random effect
independent_unit	vector of values of the independent unit

Value

function of a single parameter that returns vector of gradient values

mstaniak/SharedPeptidesIso documentation built on Dec. 21, 2021, 10:11 p.m.