ModelParamsNormal-class | R Documentation |
ModelParamsNormal
ModelParamsNormal
is the class for a bivariate normal model parameters,
i.e. the mean vector, covariance matrix and precision matrix.
The precision matrix is an inverse of the covariance matrix in the
JAGS
and it is computed internally by the object constructor function.
ModelParamsNormal(mean, cov)
.DefaultModelParamsNormal()
mean |
( |
cov |
( |
mean
(numeric
)
the mean vector.
cov
(matrix
)
the covariance matrix.
prec
(matrix
)
the precision matrix, which is an inverse matrix of the cov
.
Typically, end users will not use the .ModelPAramsNormal()
function.
ModelLogNormal
, LogisticNormalMixture
.
ModelParamsNormal(mean = c(1, 6), cov = diag(2))
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