PLRModels: Statistical inference in partial linear regression models
Version 1.1

This package provides statistical inference tools applied to Partial Linear Regression (PLR) models. Specifically, point estimation, confidence intervals estimation, bandwidth selection, goodness-of-fit tests and analysis of covariance are considered. Kernel-based methods, combined with ordinary least squares estimation, are used and time series errors are allowed. In addition, these techniques are also implemented for both parametric (linear) and nonparametric regression models.

AuthorGerman Aneiros Perez and Ana Lopez Cheda
Date of publication2014-01-01 21:37:58
MaintainerGerman Aneiros Perez <ganeiros@udc.es>
LicenseGPL
Version1.1
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("PLRModels")

Popular man pages

Epanechnikov: The Epanechnikov kernel
gaussian: The gaussian kernel
np.gcv: Generalized cross-validation bandwidth selection in...
np.gof: Goodness-of-Fit tests in nonparametric regression models
par.gof: Goodness-of-Fit tests in linear regression models
plrm.est: Semiparametric estimates for the unknown components of the...
plrm.gcv: Generalized cross-validation bandwidth selection in PLR...
See all...

All man pages Function index File listing

Man pages

barnacles1: Sales of barnacles in Cedeira
barnacles2: Sales of barnacles in Cangas
best.arima: Best Arima model according some information criterion
Epanechnikov: The Epanechnikov kernel
gaussian: The gaussian kernel
np.ancova: Nonparametric analysis of covariance
np.cv: Cross-validation bandwidth selection in nonparametric...
np.est: Nonparametric estimate of the regression function
np.gcv: Generalized cross-validation bandwidth selection in...
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...
plrm.ci: Confidence intervals estimation in partial linear regression...
plrm.cv: Cross-validation bandwidth selection in PLR models
plrm.est: Semiparametric estimates for the unknown components of the...
plrm.gcv: Generalized cross-validation bandwidth selection in PLR...
plrm.gof: Goodness-of-Fit tests in PLR models
PLRModels: Statistical inference in partial linear regression models
quadratic: The quadratic kernel
symsolve: Solution of a system of linear equations
triweight: The triweight kernel
uniform: The uniform kernel
var.cov.matrix: Estimated variance-covariance matrix from time series
var.cov.sum: Estimated sum of autocovariances from time series

Functions

Epanechnikov Source code
PLRModels Man page
PLRModels-package Man page
barnacles1 Man page
barnacles2 Man page
best.arima Source code
gaussian Source code
np.ancova Man page Source code
np.cv Man page Source code
np.est Man page Source code
np.gcv Man page Source code
np.gof Man page Source code
par.ancova Man page Source code
par.ci Man page Source code
par.est Man page Source code
par.gof Man page Source code
plrm.ancova Man page Source code
plrm.beta Man page Source code
plrm.ci Man page Source code
plrm.cv Man page Source code
plrm.est Man page Source code
plrm.gcv Man page Source code
plrm.gof Man page Source code
quadratic Source code
symsolve Source code
triweight Source code
uniform Source code
var.cov.matrix Source code
var.cov.sum Source code

Files

NAMESPACE
data
data/barnacles2.txt.gz
data/barnacles1.txt.gz
R
R/par.ancova.R
R/plrm.gcv.R
R/np.est.R
R/par.gof.R
R/var.cov.sum.R
R/plrm.cv.R
R/var.cov.matrix.R
R/plrm.ancova.R
R/plrm.beta.R
R/par.ci.R
R/np.cv.R
R/best.arima.R
R/plrm.est.R
R/np.gof.R
R/np.gcv.R
R/kind.of.kernel.R
R/symsolve.R
R/plrm.ci.R
R/par.est.R
R/plrm.gof.R
R/np.ancova.R
MD5
DESCRIPTION
man
man/np.cv.Rd
man/np.gof.Rd
man/plrm.gcv.Rd
man/quadratic.Rd
man/par.ancova.Rd
man/barnacles1.rd
man/plrm.cv.Rd
man/gaussian.Rd
man/triweight.Rd
man/barnacles2.rd
man/best.arima.Rd
man/plrm.ci.Rd
man/plrm.est.Rd
man/np.gcv.Rd
man/plrm.beta.Rd
man/var.cov.matrix.Rd
man/PLRModels.Rd
man/plrm.ancova.Rd
man/uniform.Rd
man/par.gof.Rd
man/var.cov.sum.Rd
man/Epanechnikov.Rd
man/np.ancova.Rd
man/par.est.Rd
man/np.est.Rd
man/symsolve.Rd
man/plrm.gof.Rd
man/par.ci.Rd
PLRModels documentation built on May 19, 2017, 7:50 p.m.

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