This function helps to fit an MMRM using `TMB`

with a single optimizer,
while capturing messages and warnings.

## Usage

```
fit_single_optimizer(
formula,
data,
weights,
reml = TRUE,
covariance = NULL,
tmb_data,
formula_parts,
...,
control = mmrm_control(...)
)
```

## Arguments

- formula
(

`formula`

)

the model formula, see details.- data
(

`data`

)

the data to be used for the model.- weights
(

`vector`

)

an optional vector of weights to be used in the fitting process. Should be`NULL`

or a numeric vector.- reml
(

`flag`

)

whether restricted maximum likelihood (REML) estimation is used, otherwise maximum likelihood (ML) is used.- covariance
(

`cov_struct`

)

a covariance structure type definition as produced with`cov_struct()`

, or value that can be coerced to a covariance structure using`as.cov_struct()`

. If no value is provided, a structure is derived from the provided formula.- tmb_data
(

`mmrm_tmb_data`

)

object.- formula_parts
(

`mmrm_tmb_formula_parts`

)

object.- ...
Additional arguments to pass to

`mmrm_control()`

.- control
(

`mmrm_control`

)

object.

## Value

The `mmrm_fit`

object, with additional attributes containing warnings,
messages, optimizer used and convergence status in addition to the
`mmrm_tmb`

contents.