acor2cov: Covariance matrix from autocorrelation coefficients and...
In SC-COSMO/sccosmomcma: Stanford-CIDE COronavirus Simulation MOdel (SC-COSMO) for Mexico City Metropolitan Area Analysis
Description
Usage
Arguments
Value
View source: R/03_target_functions.R
Description
acor2cov computes covariance matrix from autocorrelation coefficients
and standard deviations (or standard errors) of means.
Usage
1
acor2cov(v_acor, v_sd)
Arguments
v_acor
Vector of autocorrelation coefficients indexed by time
v_sd
Vector of standard deviations (or standard errors)
Value
A covariance matrix.
SC-COSMO/sccosmomcma documentation built on Dec. 18, 2021, 11:56 a.m.
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Description Usage Arguments Value
View source: R/03_target_functions.R
Description
acor2cov computes covariance matrix from autocorrelation coefficients
and standard deviations (or standard errors) of means.
Usage
1 | acor2cov(v_acor, v_sd)
|
Arguments
v_acor |
Vector of autocorrelation coefficients indexed by time |
v_sd |
Vector of standard deviations (or standard errors) |
Value
A covariance matrix.
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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