Comments (3)
matthieugomez
commented on May 26, 2024
Thanks for the report. You should run residuals(est) instead of residuals(est, df).
Just created a PR to correct the wording: #225
from fixedeffectmodels.jl.
droodman
commented on May 26, 2024
Thank you. Can you also check the Readme file? It seems jumbled. Do you use save=:residuals or save=true? And is it none or :none?
The option save can be set to one of the following: none (default) to save nothing :residuals to save residuals, :fe to save fixed effects. You can access the result with residuals() and fe()...
and
with the option save = true, a dataframe aligned with the initial dataframe with residuals and, if the model contains high dimensional fixed effects, fixed effects estimates (use residuals or fe on the output of reg)
from fixedeffectmodels.jl.
matthieugomez
commented on May 26, 2024
Sure, thanks for the comment
from fixedeffectmodels.jl.
Related Issues (20)
- Bug for residuals HOT 3
- Missing method for fe(:a) * fe(:d) is missing when using term() HOT 4
- StatsBase version incompatibility HOT 1
- no method matching fe(::CategoricalValue
- 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)
- 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
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