calc_trackInd: Calculate the index of the first observation of each track...

In LaMa: Fast Numerical Maximum Likelihood Estimation for Latent Markov Models

Calculate the index of the first observation of each track based on an ID variable

Description

Function to conveniently calculate the trackInd variable that is needed internally when fitting a model to longitudinal data with multiple tracks.

Usage

calc_trackInd(ID)

Arguments

ID	ID variable of track IDs that is of the same length as the data to be analysed

Value

A vector of indices of the first observation of each track which can be passed to the forward and forward_g to sum likelihood contributions of each track

Examples

uniqueID = c("Animal1", "Animal2", "Animal3")
ID = rep(uniqueID, c(100, 200, 300))
trackInd = calc_trackInd(ID)

LaMa documentation built on Nov. 5, 2025, 6:42 p.m.