The continuous partitioning variable of interest. It's value should not change over time.
$$Y_i(t)= W_i(t)theta + b_i + epsilon_{it}$$
where \(W_i(t)\) is the design matrix, theta
is the parameter associated with
\(W_i(t)\) and b_i
is the random intercept. Also, \(epsilon_{it} ~ N(0,sigma ^2)\)
and \(b_i ~ N(0, sigma_u^2)\). Let \(X\) be the baseline continuous partitioning
variable of interest. StabCont()
performs the following omnibus test
\(H_0:theta_{(g)}=theta_0\) vs. \(H_1: theta_{(g)} ^= theta_0\), for all g
where, \(theta_{(g)}\) is the true value of \(theta\) for subjects with \(X=C_g\)
where \(C_g\) is the any value realized by \(X\).