RMark: compute.link – R documentation

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RMark

compute.link

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