the covariance matrix of dimension n. Either corr or
sigma can be specified. If sigma is given, the
problem is standardized. If neither corr nor
sigma is given, the identity matrix is used
for sigma.
df
Degrees of freedom parameter
lower
Vector of lower truncation points,
default is rep(-Inf, length = length(mean)).
upper
Vector of upper truncation points,
default is rep( Inf, length = length(mean)).
maxpts
maximum number of function values as integer.
abseps
absolute error tolerance as double.
releps
relative error tolerance as double.
Value
The evaluated distribution function is returned with attributes