Uses of Interface
dev.nm.stat.regression.linear.LinearModel

Packages that use LinearModel

Package	Description
dev.nm.stat.regression.linear.glm
dev.nm.stat.regression.linear.glm.quasi
dev.nm.stat.regression.linear.lasso
dev.nm.stat.regression.linear.logistic
dev.nm.stat.regression.linear.ols
dev.nm.stat.regression.linear.panel

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 and 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 and 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 and Description
class	ConstrainedLASSObyLARS This class solves the constrained form of LASSO by modified least angle regression (LARS) and linear interpolation: \[ \min_w \left\|Xw-y\right\|_2^2 \quad \text{subject to}\quad \left\|w\right\|_1 \leq t \]
class	ConstrainedLASSObyQP This class solves the constrained form of LASSO (i.e.
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. \( \min_w \left \{ \left \| Xw - y \right \|_2^2 + \lambda * \left \| w \right \|_1 \right \} \)) by transforming it into a single quadratic programming problem with (2 * m) constraints, where m is the number of columns of the design matrix.

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 and 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 and 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 and Description
LinearModel	FixedEffectsModel.getLinearModel(Object subject)
LinearModel	PanelRegression.getLinearModel(Object subject) Gets the linear model for a particular subject/individual.