Description Usage Arguments Value Author(s) Examples
Computes the accuracy of the fit between simulated and inferred mixture.
1 |
x |
mnem object |
y |
simulation object or another mnem object |
strict |
if TRUE, accounts for over/underfitting, i.e. the number of components |
unique |
if TRUE, phis of x and y are made unique each (FALSE if strict is TRUE) |
type |
type of accuracy. "ham" for hamming, "sens" for sensitivity and "spec for Specificity" |
plot of EM convergence
Martin Pirkl
1 2 3 4 5 6 7 8 9 | sim <- simData(Sgenes = 3, Egenes = 2, Nems = 2, mw = c(0.4,0.6))
data <- (sim$data - 0.5)/0.5
data <- data + rnorm(length(data), 0, 1)
result <- mnem(data, k = 2, starts = 1)
fitacc(result, sim)
fitacc(result, sim, type = "sens")
fitacc(result, sim, type = "spec")
fitacc(result, sim, strict = TRUE, type = "sens")
fitacc(result, sim, strict = TRUE, type = "spec")
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.