[LONGITUDINAL]
input = {V, k, a}
EQUATION:
f = 100/V*exp(-k*t)
DEFINITION:
y = {distribution = normal, prediction = f, sd = a}

;----------------------------------------------
[INDIVIDUAL]
input = {V_pop, omega_V, beta, w, w_pop}
EQUATION:
V_pred = V_pop*(w/w_pop)^beta
DEFINITION:
V = {distribution = lognormal, prediction = V_pred, sd = omega_V}

;----------------------------------------------
[COVARIATE]
input = {w_pop, omega_w}
DEFINITION:
w = {distribution = normal, mean = w_pop, sd = omega_w}

;----------------------------------------------
[POPULATION]
input = {ws, gw, Vs, gV}
EQUATION:
lV = log(Vs)
DEFINITION:
w_pop = {distribution = normal,    mean = ws, sd = gw}
V_pop = {distribution = lognormal, mean = lV, sd = gV}