Statistical Inference in Partial Linear Regression Models

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Documentation for package ‘PLRModels’ version 1.4

• DESCRIPTION file.

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PLRModels-package	Statistical inference in partial linear regression models
barnacles1	Sales of barnacles in Cedeira
barnacles2	Sales of barnacles in Cangas
np.ancova	Nonparametric analysis of covariance
np.cv	Cross-validation bandwidth selection in nonparametric regression models
np.est	Nonparametric estimate of the regression function
np.gcv	Generalized cross-validation bandwidth selection in nonparametric regression models
np.gof	Goodness-of-Fit tests in nonparametric regression models
par.ancova	Parametric analysis of covariance (based on linear models)
par.ci	Confidence intervals estimation in linear regression models
par.est	Estimation in linear regression models
par.gof	Goodness-of-Fit tests in linear regression models
plrm.ancova	Semiparametric analysis of covariance (based on PLR models)
plrm.beta	Semiparametric estimate for the parametric component of the regression function in PLR models
plrm.ci	Confidence intervals estimation in partial linear regression models
plrm.cv	Cross-validation bandwidth selection in PLR models
plrm.est	Semiparametric estimates for the unknown components of the regression function in PLR models
plrm.gcv	Generalized cross-validation bandwidth selection in PLR models
plrm.gof	Goodness-of-Fit tests in PLR models
PLRModels	Statistical inference in partial linear regression models