fuzzyindex {mnem} | R Documentation |
Calculates responsibilities and mixture weights based on the ground truth and noisy data.
fuzzyindex(x, data, logtype = 2, complete = FALSE, ...)
x |
mnemsim object |
data |
noisy data matrix |
logtype |
logarithm type of the data |
complete |
if TRUE, complete data log likelihood is considered (for very large data sets, e.g. 1000 cells and 1000 E-genes) |
... |
additional parameters for the function getAffinity |
list with cell log odds mixture weights and log likelihood
Martin Pirkl
sim <- simData(Sgenes = 3, Egenes = 2, Nems = 2, mw = c(0.4,0.6)) data <- sim$data data[which(sim$data == 1)] <- rnorm(sum(sim$data == 1), 1, 1) data[which(sim$data == 0)] <- rnorm(sum(sim$data == 0), -1, 1) fuzzy <- fuzzyindex(sim, data)