growthfd: Fit a FPCA Growth Curve Model to a population

In ondrej-klima/growthfd: Fitting FPCA-based growth curve model

Fit a FPCA Growth Curve Model to a population

Description

This function fits a model to the given measured data of a population.

Usage

growthfd(
  data,
  x,
  y,
  id,
  model,
  verbose = 1,
  bounds = "negative",
  filename = "",
  startFromId = NULL,
  parallel = F,
  scores.filename = "parallel.txt"
)

Arguments

data	Data frame containing age, height and id of individuals
x	Age at measured data points
y	Height at measured data points
id	Corresponding individual's id at measured data points
model	FPCA growth model to be fitted
verbose	Verbosity
bounds	Limitation of the interval for milestones estimation, 'negative' or 'inverse'
filename	File name for saving results after each individual
startFromId	Start the evaluation from this id
parallel	(Experimental) Parallel evaluation of the model fitting
scores.filename	File name for continuous saving of the scores

Value

List containing individuals id and model

Examples

filename <- system.file("extdata", "data.csv", package="growthfd", mustWork=TRUE)
csv <- read.csv(filename)
d <- data.frame('id'=as.factor(csv[,'id']), 'x'=csv[,'age'], 'y'=csv[,'height'])
fit<-growthfd(data=d, x=x, y=y, id=id, model=model.bgs.m)

ondrej-klima/growthfd documentation built on Jan. 4, 2023, 10:37 a.m.