| Name : R-copulaSim
| |
| Version : 0.0.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.3.7
| Date : 2024-06-14 11:52:43
|
| Group : Development/Libraries/Other
| Source RPM : R-copulaSim-0.0.1-lp153.3.7.src.rpm
|
| Size : 0.13 MB
| |
| Packager : (none)
| |
| Summary : Virtual Patient Simulation by Copula Invariance Property
|
Description :
To optimize clinical trial designs and data analysis methods
consistently through trial simulation, we need to simulate multivariate
mixed-type virtual patient data independent of designs and analysis
methods under evaluation. To make the outcome of optimization more
realistic, relevant empirical patient level data should be utilized
when it’s available. However, a few problems arise in simulating trials
based on small empirical data, where the underlying marginal
distributions and their dependence structure cannot be understood or
verified thoroughly due to the limited sample size. To resolve this
issue, we use the copula invariance property, which can generate the
joint distribution without making a strong parametric assumption. The
function copula.sim can generate virtual patient data with optional
data validation methods that are based on energy distance and ball
divergence measurement. The function compare.copula.sim can conduct
comparison of marginal mean and covariance of simulated data. To
simulate patient-level data from a hypothetical treatment arm that
would perform differently from the observed data, the function
new.arm.copula.sim can be used to generate new multivariate data with
the same dependence structure of the original data but with a shifted
mean vector.
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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
