calculate_wam: internal WAM function
In PKPDmisc: Pharmacokinetic and Pharmacodynamic Data Management Functions
Description
Usage
Arguments
Details
Value
Description
internal WAM function
Usage
1
calculate_wam(k, p, n, theta, cov)
Arguments
k
number of covariate thetas
p
total number of parameters in model (theta, omega, sigma)
n
number of observations
theta
vector of covariate parameter values
cov
variance-covariance matrix for covariate parameters
Details
returns model rank, the LRT, SBC, which covariates selected
for internal use with wam()
Value
data.frame
PKPDmisc documentation built on April 14, 2020, 5:49 p.m.
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Description Usage Arguments Details Value
Description
internal WAM function
Usage
1 | calculate_wam(k, p, n, theta, cov)
|
Arguments
k |
number of covariate thetas |
p |
total number of parameters in model (theta, omega, sigma) |
n |
number of observations |
theta |
vector of covariate parameter values |
cov |
variance-covariance matrix for covariate parameters |
Details
returns model rank, the LRT, SBC, which covariates selected for internal use with wam()
Value
data.frame
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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