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)