View source: R/means_variances.R
L matrix as function of parameters
1 | Lexp(birth = parms$birth, death = parms$death, tran = parms$tran, parms)
|
birth |
vector for each type of cell with proportions of cells that replicate per unit of time |
death |
vector for each type of cell with proportions of cells that die per unit of time |
tran |
vector of length equal to length(Y) -1 with proportions of cells that transform to the next cell type per unit of time |
parms |
option list with parameters lambda, birth, death and tran |
verbose |
(default FALSE) print additional output for debugging The 'L' matrix is a lower triangular matrix that provides the linear portion of expectation at time $t$ into expectation at time $t+1$ |
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