Comments (4)
kleinschmidt
commented on September 26, 2024
1
FWIW there's no reason why you can't implement whatever run-time operators you want even if they're not defined in StatsModels per se!
from fixedeffectmodels.jl.
matthieugomez
commented on September 26, 2024
For the first issue, you should open an issue on StatsModels on why term(:a) * term(:b) does not work even though term(:a) & term(:b) does — I am just following the methods defined in that package.
For the second issue, this is to be expected: it's super confusing but fe(:c) * fe(:d) actually means fe(:c) + fe(:d) + fe(:c) & fe(:d).
from fixedeffectmodels.jl.
matthieugomez
commented on September 26, 2024
@kleinschmidt I'm a lazy man ;)
from fixedeffectmodels.jl.
matthieugomez
commented on September 26, 2024
@IljaK91 to conclude: instead of writing fe(:c) * fe(:d), write fe(:c) + fe(:d) + fe(:c) & fe(:d), which does the same thing.
from fixedeffectmodels.jl.
Related Issues (20)
- MethodError: no method matching fe(::CategoricalValue{String15, UInt32}) HOT 1
- Implement StatsAPI.fit() HOT 1
- Generate confidence intervals for `predict` HOT 1
- Ignore rows with `Inf`s? HOT 3
- error in using gpu? HOT 3
- Feature request: GPU support in MacOS HOT 2
- Drop regressors that are collinear with the fixed effects (depending on tolerance for partialling-out)
- Get " run `reg` with the option save = :residuals" despite doing exactly that HOT 3
- How can I get the dof? HOT 2
- Degrees of freedom always 1 HOT 1
- Demeaning HOT 3
- Print name of dependent variable in FixedEffectModel results display? HOT 1
- tolerance in `invsym!` HOT 1
- Next release please! For Stata front-end HOT 4
- `predict` for fixed effects HOT 4
- Feature request: Saving an object of type `FixedEffectModel` HOT 1
- Using r2 as a regression name conflicts with r2 (r-squared?) HOT 1
- Wrong results in a large data set with one set of FE HOT 51
- `predict` doesn't work for FE-only models
- Poor multithreading performance with very small FE groups HOT 3
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