Description Usage Arguments Value Author(s) See Also
CdF of a mixture of t distributions.
1 | pt.mixture(y, pi, mu, s, df)
|
y |
Value(-s) at which the CDF shall be evaluated (numeric vector) |
pi |
Mixture proportions (numeric vector of length K > 0; sum(pi)=1, entries non-negativ!) |
mu |
Component medians (numeric vector of length K) |
s |
Component sigma's (numeric vector of length K; entries positive!) |
df |
Component degrees of freedom (numeric vector of length K; entries positive!) |
F(y) |
Result |
Lisa Allmesberger Fabian Bergs Stefan Immler Michael Kässmann
dt.mixture, qt.mixture, rt.mixture
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