mc_twin: Twin Models Structure

In wbonat/mcglm: Multivariate Covariance Generalized Linear Models

Description

The function mc_twin helps to build the components of the matrix linear predictor associated with ACDE models for analysis of twin data.

Usage

mc_twin(id, twin.id, type, replicate = NULL, structure, data)

mc_twin_bio(id, twin.id, type, replicate = NULL, structure, data)

mc_twin_full(id, twin.id, type, replicate, formula, data)

Arguments

id	name of the column (string) containing the twin index. It should be the same index (number) for both twins.
twin.id	name of the column (string) containing the twin index inside the pair. In general 1 for the first twin and 2 for the second twin.
type	name of the column (string) containing the indication of the twin as mz or dz. It should be a factor with only two levels mz and dz. Be sure that the reference level is mz.
replicate	name of the column (string) containing the index for more than one observation taken at the same twin pair. It is used for example in twin longitudinal studies. In that case, the replication column should contain the time index.
structure	model type options are full, flex, uns, ACE, ADE, AE, CE and E. See example for details.
data	data set.
formula	internal.

Value

A list of matrices of dgCMatrix class.

Author(s)

Wagner Hugo Bonat, [e-mail]

Source

Bonat, W. H. (2018). Multiple Response Variables Regression Models in R: The mcglm Package. Journal of Statistical Software, 84(4):1–30.

See Also

mc_id, mc_dist, mc_car, mc_rw, mc_ns, mc_dglm and mc_mixed.

Examples

id <- rep(1:5, each = 4)
id.twin <- rep(1:2, 10)

wbonat/mcglm documentation built on June 23, 2020, 11:06 a.m.