estimate_pt {cfda}R Documentation

Estimate probabilities to be in each state

Description

Estimate probabilities to be in each state

Usage

estimate_pt(data, NAafterTmax = FALSE)

Arguments

data

data.frame containing id, id of the trajectory, time, time at which a change occurs and state, associated state.

NAafterTmax

if TRUE, return NA if t > Tmax otherwise return the state associated with Tmax (useful when individuals has different lengths)

Value

A list of two elements:

Author(s)

Cristian Preda, Quentin Grimonprez

See Also

plot.pt

Examples

# Simulate the Jukes-Cantor model of nucleotide replacement 
K <- 4
PJK <- matrix(1/3, nrow = K, ncol = K) - diag(rep(1/3, K))
lambda_PJK <- c(1, 1, 1, 1)
d_JK <- generate_Markov(n = 10, K = K, P = PJK, lambda = lambda_PJK, Tmax = 10)

d_JK2 <- cut_data(d_JK, 10)

# estimate probabilities
estimate_pt(d_JK2)


[Package cfda version 0.9.9 Index]