AnovaFixedEffectModels.jl

AnovaBase.anova — Method

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.

Note

For fitting new models and conducting anova at the same time, see anova_lfe for FixedEffectModel.

source

AnovaFixedEffectModels.anova_lfe — Function

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.

source

AnovaBase.nestedmodels — Method

nestedmodels(model; keyword_arguments...)
nestedmodels(model_type, formula, data; keyword_arguments...)

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

source

AnovaFixedEffectModels.lfe — Function

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

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

source