sigma_corr_function: Generating the longitudinal correlation matrix for repeated...
In microbiomeDASim: Microbiome Differential Abundance Simulation
Description
Usage
Arguments
Value
Description
Generating the longitudinal correlation matrix for repeated observations
Usage
1
sigma_corr_function(t, sigma, corr_str, rho)
Arguments
t
timepoints for repeated observations
sigma
the standard deviation parameter for the covariance matrix
corr_str
the type of correlatin structure chosen. options currently
available include "ar1", "compound", and "ind"
rho
the correlation coefficient for non-independent structures
Value
Return the covariance matrix V as a list
microbiomeDASim documentation built on Nov. 8, 2020, 10:58 p.m.
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Description Usage Arguments Value
Description
Generating the longitudinal correlation matrix for repeated observations
Usage
1 | sigma_corr_function(t, sigma, corr_str, rho)
|
Arguments
t |
timepoints for repeated observations |
sigma |
the standard deviation parameter for the covariance matrix |
corr_str |
the type of correlatin structure chosen. options currently available include "ar1", "compound", and "ind" |
rho |
the correlation coefficient for non-independent structures |
Value
Return the covariance matrix V as a list
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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