Design Matrix for Path Analyses

Description

Forms design matrix for path analyses that involve paths within residual blocks

Usage

path(cause=NULL, effect=NULL, k)

Arguments

Value

design matrix

Note

For more general path anlaytic models see sir which allows paths to exist between responses that are not in the same residual block. However, sir does not handle non-Gaussian or missing responses. Note that path models involving non-Gaussian data are defined on the link scale which may not always be appropriate.

Author(s)

Jarrod Hadfield j.hadfield@ed.ac.uk

See Also

sir

Examples

path(1, 2,2)

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> library(MCMCglmm)
Loading required package: Matrix
Loading required package: coda
Loading required package: ape
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/MCMCglmm/path.Rd_%03d_medium.png", width=480, height=480)
> ### Name: path
> ### Title: Design Matrix for Path Analyses
> ### Aliases: path
> ### Keywords: manip
> 
> ### ** Examples
> 
> path(1, 2,2)
     [,1] [,2]
[1,]    0    0
[2,]    1    0
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>