AnovaFixedEffectModels.jl

anova(<lfemodels>...; test::Type{<: GoodnessOfFit})
anova(<anovamodel>; test::Type{<: GoodnessOfFit})
anova(test::Type{<: GoodnessOfFit}, <lfemodels>...;  <keyword arguments>)
anova(test::Type{<: GoodnessOfFit}, <anovamodel>;  <keyword arguments>)

Analysis of variance.

Return AnovaResult{M, test, N}. See AnovaResult for details.

Arguments

• lfemodels: model objects
  • FixedEffectModel fitted by AnovaFixedEffectModels.lfe or FixedEffectModels.reg.
  If mutiple models are provided, they should be nested and the last one is the most complex.
• anovamodel: wrapped model objects; FullModel and NestedModels.
• test: test statistics for goodness of fit. Only FTest is available now.

Other keyword arguments

• When one model is provided:
  1. type specifies type of anova. Default value is 1.
• When multiple models are provided:
  1. check: allows to check if models are nested. Defalut value is true. Some checkers are not implemented now.

anova_lfe(f::FormulaTerm, tbl, vcov::CovarianceEstimator = Vcov.simple(); 
        test::Type{<: GoodnessOfFit} = FTest, <keyword arguments>)
anova_lfe(test::Type{<: GoodnessOfFit}, f::FormulaTerm, tbl, vcov::CovarianceEstimator = Vcov.simple(); <keyword arguments>)

ANOVA for fixed-effect linear regression.

• vcov: estimator of covariance matrix.
• type: type of anova (1 , 2 or 3). Default value is 1.

anova_lfe generates a FixedEffectModel.

nestedmodels(<model>; <keyword arguments>)
nestedmodels(<model type>, formula, data; <keyword arguments>)

Create nested models NestedModels from a model or modeltype, formula and data.

lfe(formula::FormulaTerm, df, vcov::CovarianceEstimator = Vcov.simple(); kwargs...)

A GLM-styled function to fit a fixed-effect model.