matrix_coeftest: Export Matrix (Data.Frame) of Coefficients Test
In gentok/estvis: Visualize estimates from various models

Export Matrix (Data.Frame) of Coefficients Test

matrix_coeftest(
  m,
  vcov.est = NULL,
  robust.type = "HC1",
  cluster.var = NULL,
  boot.sims = 500,
  boot.seed = 578,
  ncores = "auto",
  ...
)

`m`	A single model object.
`vcov.est`	Alternative variance-covariance matrix. The value must be one of raw variance-covariance matrix, `"robust"`, `"boot"`, or `NULL` (default). If `"robust"`, robust standard error is calculated according to `robust.type`. If `"boot"`, bootstrapped standard error calculated by `Boot` function is used. Ignored if `NULL` (default) or the `m` is not model object. Must have the same length as `m` if it is a list.
`robust.type`	The type of robust standard error (applied only when `vcov.est=="robust"`).
`cluster.var`	A `vector`, `matrix`, or `data.frame` of cluster variables, where each column is a separate variable. Alternatively, a formula specifying the cluster variables to be used (see Details in `[multiwayvcov]{cluster.vcov}`. Applied only when `vcov.est=="cluster"`.)
`boot.sims`	Number of iterations if bootstrap is used.
`boot.seed`	Random number seed if bootstrap method is used.
`ncores`	Number of cores to be used in bootstrap. If `"auto"`, automatically detects number of cores in computer.
`...`	Additional arguments passed to `[sandwich]{vcovHC}`, `[multiwayvcov]{cluster.vcov}`, or `Boot` depending on the value of `vcov.est`.
`seed`	Random number seed.