Description Usage Arguments Details Value
Construct a sampler to draw multivariate Normal deviates.
| 1 2 3 | 
| S | a covariance matrix or an array of covariance matrices. | 
| s | a scale factor applied to S. | 
| n | number of deviates to draw. | 
| tol | minimum allowable variance. | 
| m | dimension of each deviate. | 
Construct a sampler that draws Multivariate Normal deviates with
covariances determined by S and mean determined by its
first argument.
The mvnorm function constructs a function that generates
n independent Multivariate Normal deviates, where the
covariance of each deviate is specified by S which must be
either a mxm covariance matrix or an
nxmxm array of covariance matrices.
The bmvnorm constructs a function that generates n
correlated Multivariate Normal deviates, where the joint
covariance is specified by S which must be a
nmxnm covariance matrix (as generated by
chainBcov).
A function that draws bivariate Normal deviates with mean given by its first argument.
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