| experiment {multivator} | R Documentation |
Multivatriate hyperparameter (mhp) objects
Description
Create and manipulate multivariate hyperparameter (mhp) objects
Usage
experiment(mm,obs)
Arguments
mm |
Object of class |
obs |
Vector of observations, with elements corresponding to the
rows of |
Details
An “experiment” is an ordered pair of a multivariate design matrix and a vector of observations with entries corresponding to the rows of the design matrix.
It functions as a container for the design matrix and observations. It is intended to simplify the calls to many functions in the package which require a design matrix and vector of observations.
There are two get methods, get_mdm() and get_obs(), for
the design matrix and observations respectively. Note the deliberate
absence of set methods.
Value
Returns an object of class experiment, which is used as input to
many of the functions in the package.
Author(s)
Robin K. S. Hankin
Examples
data(mtoys)
jj_expt <- experiment(toy_mm,toy_d)
# accessor methods:
get_obs(jj_expt)
get_mdm(jj_expt)
# estimation of coefficients:
beta_hat(jj_expt, toy_mhp, toy_LoF)
# use multem():
multem(toy_mm3, jj_expt, toy_mhp, toy_LoF,give=TRUE)