compute.link {RMark} | R Documentation |
Compute estimates of link values
Description
Computes link values (design*beta) for real parameters, and var-cov from design matrix (design) and coefficients (beta)
Usage
compute.link(
model,
beta = NULL,
design = NULL,
data = NULL,
parm.indices = NULL,
vcv = TRUE
)
Arguments
model |
MARK model object |
beta |
Estimates of beta parameters |
design |
numeric design matrix for MARK model with any covariate values filled in |
data |
dataframe with covariate values that are averaged for estimates |
parm.indices |
index numbers from PIMS for rows in design matrix to use |
vcv |
logical; if TRUE, returns v-c matrix of link values |
Details
This function is very similar to compute.real
except that it
provides estimates of link values before they are transformed to real
estimates using the inverse-link. It is called by get.link
to
make calculations but can be called separately. The value is always a
dataframe for the estimates and design data and optionally a
variance-covariance matrix. See get.real
for further details
about the arguments.
Value
estimates: If vcv=TRUE
, a list is returned with elements
vcv.link
and the dataframe estimates
. If vcv=FALSE
,
only the estimates dataframe is returned which has the same structure as in
get.real
.
Author(s)
Jeff Laake