Random Number Generation Functions for 'rxode2'
Cumulative distribution of standard normal
Objects exported from other packages
Scaled Inverse Chi Squared distribution
One correlation sample from the LKJ distribution
Swaps the matrix list with a cube
One correlation sample from the Inverse Wishart distribution
Sample a covariance Matrix from the Posterior Inverse Wishart distribu...
This uses simulations to match the rse
cbind Ome
Expand parameters
Convert numeric vector to repeated data.frame
Simulate beta variable from threefry generator
Simulate Binomial variable from threefry generator
Simulate Cauchy variable from threefry generator
Simulate chi-squared variable from threefry generator
Simulate exponential variable from threefry generator
Simulate F variable from threefry generator
Simulate gamma variable from threefry generator
Simulate geometric variable from threefry generator
Get the rxode2 seed
Simulate Binomial variable from threefry generator
Simulate random normal variable from threefry/vandercorput generator
Get the MD5 hash of the current rxode2random revision
Simulate ordinal value
Simulate random Poisson variable from threefry generator
Simulate a from a Poisson process
Simulate from a (truncated) multivariate normal
This seeds the engine based on the number of cores used in random numb...
Set the parallel seed for rxode2 random number generation
Simulate student t variable from threefry generator
Simulate uniform variable from threefry generator
Simulate Weibull variable from threefry generator
Preserved seed and possibly set the seed
Provides the random number generation (in parallel) needed for 'rxode2' (Wang, Hallow and James (2016) <doi:10.1002/psp4.12052>) and 'nlmixr2' (Fidler et al (2019) <doi:10.1002/psp4.12445>). This split will reduce computational burden of recompiling 'rxode2'.
Useful links