Description Usage Arguments Value
View source: R/run-capony-par.R
Run Canopy in parallel
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | canopy.sample.parallel.mod(
R,
X,
WM,
Wm,
epsilonM,
epsilonm,
C = NULL,
Y,
K,
numchain,
max.simrun,
min.simrun,
writeskip,
projectname,
cell.line = NULL,
plot.likelihood = NULL,
nCores = 1
)
|
Y |
An output object from the make_Y_mat() function. |
K |
Vector of the number of clones to be used. |
numchain |
Number of chains for the MCMC. Default is 15. |
max.simrun |
Maximum number of simulations to perform before convergence. Default is 100000. |
min.simrun |
Minimum number of simulations to perform before convergence. Default is 10000. |
projectname |
Name of the project to save results. |
sna_obj |
An output object from the make_sna_mat() function. |
cna_obj |
An output object from the make_cna_mat() function. |
burnin |
Burn-in period for the MCMC. Default is 10. |
thin |
Thining parameter for the MCMC. Default is 5. |
parallel |
Should this be run in parallel. Default is FALSE. |
Y
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