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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