Description Usage Arguments Value Author(s) See Also
Calculate the logarithm of the probability density function of a multivariate normal or lognormal distribution, or of a product of independent one-dimensional distributions.
1 2 |
z |
vector, matrix or data frame at which the logarithm of the probability density function will be evaluated |
dist |
distribution type: "Normal", "Lognormal", or "Indep" |
mean |
vector of means |
sd |
vector of standard deviations |
cor |
correlation matrix of the distribution |
cor.inv |
inverse of correlation matrix of the distribution (alternative input to cor, saves computation time for repeated calls) |
log |
if TRUE returns log of pdf, otherwise pdf |
distdef |
distribution definition for independent one-dimensional distributions |
file |
optional file to save results |
Probability density (or log density) at the sample points in z.
Peter Reichert <peter.reichert@eawag.ch>
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