dsdive.impute.sample_n: Sample number of transitions between observations for a CTMC

In jmhewitt/dsdive: Discrete Space Models for Dive Trajectories of Animals

Description

Uses properties of homogeneous Continuous time Markov Chains (CTMCs) to sample the number of transitions between known endpoints and times.

Usage

dsdive.impute.sample_n(
  d0,
  df,
  s0,
  sf,
  t0,
  tf,
  t.stages,
  rate.unif,
  P.raw,
  P.tx,
  n.bins,
  max.tx
)

Arguments

d0	index of depth bin in which the CTMC segment starts
df	index of depth bin in which the CTMC segment ends
s0	dive stage in which the CTMC begins
sf	dive estage in which the CTMC ends
t0	time at which d0 is observed
tf	time at which df is observed
t.stages	stage transition times for the dive
rate.unif	uniformization rate, for standardizing transition rates between states
P.raw	list of continuous time probability transition matrices, and components.
P.tx	list of discrete time probability transition matrices
n.bins	number of rows in the depths matrix
max.tx	maximum number of transitions between observations that will be allowed during imputation

jmhewitt/dsdive documentation built on May 29, 2020, 5:18 p.m.