Uses of Interface
dev.nm.stat.regression.linear.LinearModel
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Uses of LinearModel in dev.nm.stat.regression.linear.glm
Classes in dev.nm.stat.regression.linear.glm that implement LinearModel Modifier and Type Class Description class
GeneralizedLinearModel
The Generalized Linear Model (GLM) is a flexible generalization of the Ordinary Least Squares regression. -
Uses of LinearModel in dev.nm.stat.regression.linear.glm.quasi
Classes in dev.nm.stat.regression.linear.glm.quasi that implement LinearModel Modifier and Type Class Description class
GeneralizedLinearModelQuasiFamily
GLM for the quasi-families. -
Uses of LinearModel in dev.nm.stat.regression.linear.lasso
Classes in dev.nm.stat.regression.linear.lasso that implement LinearModel Modifier and Type Class Description class
ConstrainedLASSObyLARS
This class solves the constrained form of LASSO by modified least angle regression (LARS) and linear interpolation: \[ \min_w \left \{ \left \| Xw - y \right \|_2^2 \right \}\) subject to \( \left \| w \right \|_1 \leq t \]class
ConstrainedLASSObyQP
This class solves the constrained form of LASSO (i.e.\(\min_w \left \{ \left \| Xw - y \right \|_2^2 \right \}\) subject to \( \left \| w \right \|_1 \leq t \)) by transforming it into a single quadratic programming problem with (2 * m + 1) constraints, where m is the number of columns of the design matrix.class
UnconstrainedLASSObyCoordinateDescent
This class solves the unconstrained form of LASSO, that is, \[ \min_w \left \{ \left \| Xw - y \right \|_2^2 + \lambda * \left \| w \right \|_1 \right \} \] by Coordinate Descent method.class
UnconstrainedLASSObyQP
This class solves the unconstrained form of LASSO (i.e. -
Uses of LinearModel in dev.nm.stat.regression.linear.logistic
Classes in dev.nm.stat.regression.linear.logistic that implement LinearModel Modifier and Type Class Description class
LogisticRegression
A logistic regression (sometimes called the logistic model or logit model) is used for prediction of the probability of occurrence of an event by fitting data to a logit function logistic curve. -
Uses of LinearModel in dev.nm.stat.regression.linear.ols
Classes in dev.nm.stat.regression.linear.ols that implement LinearModel Modifier and Type Class Description class
OLSRegression
(Weighted) Ordinary Least Squares (OLS) is a method for fitting a linear regression model. -
Uses of LinearModel in dev.nm.stat.regression.linear.panel
Methods in dev.nm.stat.regression.linear.panel that return LinearModel Modifier and Type Method Description LinearModel
FixedEffectsModel. getLinearModel(Object subject)
LinearModel
PanelRegression. getLinearModel(Object subject)
Gets the linear model for a particular subject/individual.
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