Description Usage Arguments Author(s)
Utility functions: Some useful miscellaneous functions: plot plot.MECTree plot the tree part of MECTree object; heat.tree plot a sort of heat map decision trees
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 | reOnly(f)
LongiLagSplit(dat, id, rhs.vars, resp.vars, order.vars = "time",
lag = 1)
LongiLagSplit.boot(dat, id, rhs.vars, resp.vars, order.vars = "time",
lag = 1)
LongiLagSplit.visit(dat, id, rhs.vars, resp.vars, order.vars = "time",
visit = 1)
LongiLagSplit.visit.boot(dat, id, rhs.vars, resp.vars,
order.vars = "time", visit = 1, parallel = TRUE)
Performance.measures(pred, obs, threshold = NULL, prevalence = NULL)
opt.thresh(pred, obs)
sparseFactor(dummy, thresh = 0.00016)
VimPlot(x, top = min(20, length(x$importance)), ...)
varImpPlot.RF(x, sort = TRUE, n.var = min(30, nrow(x$importance)),
type = NULL, class = NULL, scale = TRUE, main = "", xlab = "",
...)
createBootSamples(y, times = 10, replace = TRUE, prob = NULL)
multiClassSummary(data, class.names = NULL, eps = 1e-15)
normalize(x)
denormalize(normalized, min, max)
getResults.ci(tab, alpha = 0.05)
F.measure.single(pred, labels)
|
dat |
data.frame |
id |
group id |
resp.vars, rhs.vars |
response and vector of predictor names |
order.vars |
variables to order longitudinal data |
lag |
lag in train test split |
pred, obs |
predicted probabilities and true class |
threshold |
threshold |
... |
Further arguments passed to or from other methods. |
y, f, nl.n |
numeric or character vector depending on usage |
cut.off, propo |
cut-off and proportions |
no.last |
number of tail observations that goes into test set |
allow.new.levels |
logical |
formula |
formula |
Che Ngufor Ngufor.Che@mayo.edu
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.