# eflm 0.3

- All functions were re-written, by adapting from stats:: and new S3 methods when required
- Uses R’s internal C code for all matrix decompositions, and LAPACK when possible
- Fixes rounding problem with broom’s exponentiation
- Performs better on Windows, the previous code relied heavily on Unix-specific matrix products

# eflm 0.2.2

- Allows
`family = gaussian`

, etc instead of `family = gaussian()`

, just like `glm()`

- Supports
`sandwich::vcovBS()`

- Supports
`subset = (cyl == 4)`

and similar subsetting

# eflm 0.2.1

- Adds generic method for weights (i.e. now I can replicate the clotting example from glm)
- Starts adding vignettes with all lm/glm tests from R source code

# eflm 0.2

- Allows to use formulas such as
`mpg ~ log(wt)`

instead of having to create `mtcars$logwt <- log(mtcars$wt)`

- Implements some fixes from speedglm package to solve estimation bugs with categorical variables
- Adds the subset argument for a closer match with the stats package
- Makes all the arguments similar to the closest degree to lm() and glm()

# eflm 0.1

- This is the first version, which basically fits my need to obtain GLM (Quasi-Poisson) estimates