linreg_optim: Linear Regression (Optimization).
In jeksterslabds/jeksterslabRds: Jekster's Lab Data Science and Statistics

Estimates parameters of a linear regression model using optimization.

1	linreg_optim(X, y, FUN, start_values, optim = TRUE, ...)

`X`	The data matrix, that is an n \times k matrix of n observations of k regressors, which includes a regressor whose value is 1 for each observation.
`y`	n \times 1 vector of observations on the regressand variable.
`FUN`	Objective function. The options are `linreg_optim_rss` using residual sums of squares as the loss function, `linreg_optim_negll` using the negative log-likelihood of $y$ as the loss function.
`start_values`	A vector of starting values corresponding to the number of parameters to be estimated.
`optim`	Logical. If `TRUE`, the `optim` function is used. If `FALSE`, the `nlminb` function is used.
`...`	Arguments to be passed to the optimization function specified. This is only used when `optim` is `TRUE`