simulateCellscelda_G {celda} | R Documentation |
Generates a simulated counts matrix and feature module clusters according to the generative process of the celda_G model.
simulateCellscelda_G(model, C = 100, NRange = c(500, 1000), G = 100, L = 10, beta = 1, gamma = 5, delta = 1, ...)
model |
Character. Options available in 'celda::availableModels'. |
C |
Integer. Number of cells to simulate. Default 100. |
NRange |
Integer vector. A vector of length 2 that specifies the lower and upper bounds of the number of counts generated for each cell. Default c(500, 5000). |
G |
Integer. The total number of features to be simulated. Default 100. |
L |
Integer. Number of feature modules. Default 10. |
beta |
Numeric. Concentration parameter for Phi. Adds a pseudocount to each feature module in each cell. Default 1. |
gamma |
Numeric. Concentration parameter for Eta. Adds a pseudocount to the number of features in each module. Default 5. |
delta |
Numeric. Concentration parameter for Psi. Adds a pseudocount to each feature in each module. Default 1. |
... |
Additional parameters. |
List. Contains the simulated matrix 'counts', feature module clusters 'y', and input parameters.
'celda_C()' for simulating cell subpopulations and 'celda_CG()' for simulating feature modules and cell populations.
celdaGSim <- simulateCells(model = "celda_G")