v1.9.0

FixedEffectModels v1.9.0

Diff since v1.8.0

Closed issues:

• Drop regressors that are collinear with the fixed effects (depending on tolerance for partialling-out) (#221)

Merged pull requests:

• add precompilation (#219) (@matthieugomez)
• Update to StatsModels 0.7 (#220) (@matthieugomez)
• address issue #221: drop regressors that are collinear with the FE depending on tolerance (#222) (@moritzdrechselgrau)
• Update Project.toml (#223) (@matthieugomez)

v1.8.0

FixedEffectModels v1.8.0

Diff since v1.7.0

Closed issues:

• Lag/Lead Operators in @formula (#193)
• how to get within r2 and t value from fixedeffectmodel? (#200)
• Missing method for fe(:a) * fe(:d) is missing when using term() (#206)
• StatsBase version incompatibility (#207)
• no method matching fe(::CategoricalValue (#210)
• MethodError: no method matching fe(::CategoricalValue{String15, UInt32}) (#211)
• Implement StatsAPI.fit() (#212)
• error in using gpu? (#215)

Merged pull requests:

• Update fit.jl (#208) (@matthieugomez)
• Update FixedEffectModel.jl (#209) (@matthieugomez)
• add fit API (#216) (@matthieugomez)
• Update fit.jl (#218) (@matthieugomez)

v1.7.0

FixedEffectModels v1.7.0

Diff since v1.6.7

Merged pull requests:

• StatsBase -> StatsAPI (#203) (@matthieugomez)

v1.6.7

FixedEffectModels v1.6.7

Diff since v1.6.6

Closed issues:

• Behavior of DummyCoding in an interaction term (#197)
• Bug! Different p values from Stata (#201)

Merged pull requests:

• Correct p-values and CI with clustered SE (#202) (@matthieugomez)

v1.6.6

FixedEffectModels v1.6.6

Diff since v1.6.5

Closed issues:

• [Bug] Multi-way clustered standard error when missing is allowed (#195)

Merged pull requests:

• Use in-place left division (#196) (@junyuan-chen)
• update to StatsFuns 1 (#198) (@matthieugomez)

v1.6.5

FixedEffectModels v1.6.5

Diff since v1.6.4

Closed issues:

• Make predict easier? (#134)
• Bounds Error (#169)
• Error when using predict with coefficient interactions. (#189)
• Error: expansion cannot be computed (#192)

Merged pull requests:

• Update benchmark.jl (#181) (@matthieugomez)
• Move to !== comparison for nothing (#183) (@nilshg)
• Fix minor typo in comment (#184) (@nilshg)
• Add predict method (#185) (@nilshg)
• correct predict with interacted variables (#190) (@matthieugomez)
• Update Project.toml (#191) (@matthieugomez)

v1.6.4

FixedEffectModels v1.6.4

Diff since v1.6.3

Merged pull requests:

• Update to Vcov 0.5.0 (#180) (@matthieugomez)

v1.6.3

FixedEffectModels v1.6.3

Diff since v1.6.2

Merged pull requests:

• Add predict for FixedEffectModel (#171) (@nilshg)
• Simplify Project.toml (#176) (@matthieugomez)
• Revert "Add predict for FixedEffectModel" (#177) (@eloualiche)
• Tag new version (#178) (@matthieugomez)

v1.6.2

FixedEffectModels v1.6.2

Diff since v1.6.1

Closed issues:

• Error with single precision gpu model (#170)
• Example fails with method=:gpu (#172)
• Wrong r-squared when run without intercept or fixed effects (#173)

Merged pull requests:

• Update fit.jl (#175) (@matthieugomez)

v1.6.1

FixedEffectModels v1.6.1

Diff since v1.6.0

Closed issues:

• Time to first regression (#167)

Merged pull requests:

• update to DataFrames 1.0 (#168) (@matthieugomez)