cattle

Kenward (1987) reported an experiment in which cattle were assigned randomly
to two treatment groups A and B, and their body weights were recorded in
kilogram. Thirty animals received treatment A and another 30 received
treatment B. The animals were weighted 11 times over a 133-day period; the
first 10 measurements for each animal were made at two-week intervals and the
last measurement was made one week later. Since no observation was missing,
it is considered to be a balanced longitudinal dataset.

datasets

Fit joint mean-covariance models for longitudinal data. The models
    and their components are represented using S4 classes and methods. The core
    computational algorithms are implemented using the 'Armadillo' C++ library
    for numerical linear algebra and 'RcppArmadillo' glue.

Jianxin Pan

jmcm

Joint Mean-Covariance Models using 'Armadillo' and S4

cattle function

A data frame with 660 rows and 4 variables

cattle: Cattle Data

Description

Usage

Arguments

format

Details