pre_calc_ar: Obtain conditional mean and covariance for multivariate...
In nickseedorff/bmrarm: Bayesian Mixed Response Autoregressive Models
View source: R/bmrarm_helper_functions.R
pre_calc_ar R Documentation
Obtain conditional mean and covariance for multivariate normals
Description
Obtain conditional mean and covariance for multivariate normals
Usage
pre_calc_ar(cov_mat, locs)
Arguments
cov_mat
covariance matrix based on first, last, or middle obs
locs
vector of locations to be sampled
Value
scalar
nickseedorff/bmrarm documentation built on April 17, 2025, 9:43 p.m.
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View source: R/bmrarm_helper_functions.R
| pre_calc_ar | R Documentation |
Obtain conditional mean and covariance for multivariate normals
Description
Obtain conditional mean and covariance for multivariate normals
Usage
pre_calc_ar(cov_mat, locs)
Arguments
cov_mat |
covariance matrix based on first, last, or middle obs |
locs |
vector of locations to be sampled |
Value
scalar
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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