$$
\text{SSE} = \sum ((q_x - q_{x,\text{pred}})^2)
$$
Arguments
- params
numeric(2)
vector of Kannisto-Thatcher model parameters
\(\alpha\) (a) and \(\beta\) (b).
- data
data.table()
Life table with at columns age_start
and qx
.
Value
Sum of square errors of \(q_x\).