# Profile Likelihood Computation and Confidence Intervals

`twinSIR_profile.Rd`

Function to compute estimated and profile likelihood based confidence
intervals. Computations might be cumbersome!
There is a simple `plot`

-method for the result.

## Arguments

- fitted
an object of class

`"twinSIR"`

.- profile
a list with elements being numeric vectors of length 4. These vectors must have the form

`c(index, lower, upper, gridsize)`

.`index`

:index of the parameter to be profiled in the vector

`coef(fitted)`

.`lower, upper`

:lower/upper limit of the grid on which the profile log-likelihood is evaluated. Can also be

`NA`

in which case`lower/upper`

equals the lower/upper bound of the respective 0.3 % Wald confidence interval (+-3*se).`gridsize`

:grid size of the equally spaced grid between lower and upper. Can also be 0 in which case the profile log-likelihood for this parameter is not evaluated on a grid.

- alpha
\((1-\alpha) 100\%\) profile likelihood based confidence intervals are computed. If

`alpha <= 0`

, then no confidence intervals are computed.- control
control object to use in

`optim`

for the profile log-likelihood computations.- ...
unused (argument of the generic).