Linear & nonlinear regression
21 methods in this family.
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Beta RegressionBeta regression is a generalized linear model introduced by Ferrari and Cribari-Neto (2004) for outcomes that are rates or proportions confined to the open interval (0,1). It modelGames-Howell TestThe Games-Howell test is a parametric post-hoc multiple comparison procedure that identifies which pairs of group means differ significantly after an omnibus ANOVA reveals a signifGAMLSSGAMLSS is a broad class of semi-parametric regression models introduced by Robert Rigby and Mikis Stasinopoulos in 2005. Unlike classical regression, which models only the mean of Generalized Least SquaresGeneralized Least Squares (GLS) is a linear regression estimator that extends ordinary least squares to handle situations where the error terms are correlated or have non-constant Influence DiagnosticsInfluence diagnostics are a family of post-fit measures that quantify how much each single observation affects a fitted regression. Cook's distance was introduced by R. Dennis CookLeast Median of SquaresLeast Median of Squares is a robust linear regression method introduced by Peter J. Rousseeuw in 1984. Instead of minimising the sum of squared residuals like ordinary least square
All methods 21
Beta RegressionGames-Howell TestGAMLSSGeneralized Least SquaresInfluence DiagnosticsLeast Median of SquaresMICEMultiple Linear RegressionMultivariate RegressionOrdinary Least SquaresPanel Simple Linear RegressionPolynomial RegressionPower Analysis for RegressionRobust Moderation AnalysisRobust Multiple linear regressionRobust Simple linear regressionSimple Linear RegressionStepwise RegressionTau EstimatorWeighted Least SquaresWild Bootstrap