block_errors: Generate block-correlated Gaussian errors.
In Yu-Group/dgpoix: Generate synthetic data that is as fresh as the real thing
View source: R/dgp-lib-errors.R
block_errors R Documentation
Generate block-correlated Gaussian errors.
Description
Generate correlated Gaussian errors based on a block-dependence
covariance structure with n_blocks (approximately) equally-sized
blocks.
Usage
block_errors(n, n_blocks = 3, rho = 0.8)
Arguments
n
Number of samples.
n_blocks
Number of blocks.
rho
Correlation. Must be a scalar or vector of length k.
Value
A vector of simulated errors with length n.
Examples
errs <- block_errors(n = 100, n_blocks = 3, rho = 0.7)
Yu-Group/dgpoix documentation built on June 3, 2022, 1:40 a.m.
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View source: R/dgp-lib-errors.R
| block_errors | R Documentation |
Generate block-correlated Gaussian errors.
Description
Generate correlated Gaussian errors based on a block-dependence
covariance structure with n_blocks (approximately) equally-sized
blocks.
Usage
block_errors(n, n_blocks = 3, rho = 0.8)
Arguments
n |
Number of samples. |
n_blocks |
Number of blocks. |
rho |
Correlation. Must be a scalar or vector of length |
Value
A vector of simulated errors with length n.
Examples
errs <- block_errors(n = 100, n_blocks = 3, rho = 0.7)
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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