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Showing results 1 to 10 of 27.


Function loess.boot [simpleboot v1.1-7]
keywords
loess
title
2-D Loess bootstrap.
description
Bootstrapping of loess fits produced by the loess function in the modreg package. Bootstrapping can be done by resampling rows from the original data frame or resampling residuals from the original model fit.
Function plot.loess.simpleboot [simpleboot v1.1-7]
keywords
loess
title
Plot method for loess bootstraps.
description
Plot loess lines with bootstrap standard errors.
Function loess.simpleboot.methods [simpleboot v1.1-7]
keywords
loess
title
Methods for loess bootstrap.
description
Methods for "loess.simpleboot" class objects.
Function loess.sd [msir v1.3.2]
keywords
loess
title
Local Polynomial Regression Fitting with Variability bands
description
Nonparametric estimation of mean function with variability bands.
Function compute.loess [bayesLife v4.1-0]
keywords
loess
title
Computing Residuals and Fitting Local Polynomial Regression
description
Functions for computing residuals from the observed life expectancy and MCMC estimation, and fitting a local polynomial regression.
Function SingleGroup-class [ClassComparison v3.1.8]
keywords
loess
title
Class "SingleGroup"
description
Preliminary analysis of one group of samples for use in the SmoothTtest class. A key feature is the standard quality control plot.
Function loess.control [stats v3.6.1]
keywords
loess
title
Set Parameters for Loess
description
Set control parameters for loess fits.
Function loess [stats v3.6.1]
keywords
loess
title
Local Polynomial Regression Fitting
description
Fit a polynomial surface determined by one or more numerical predictors, using local fitting.
Function tsd [pastecs v1.3.21]
keywords
loess
title
Decomposition of one or several regular time series using various methods
description
Use a decomposition method to split the series into two or more components. Decomposition methods are either series filtering/smoothing (difference, average, median, evf), deseasoning (loess) or model-based decomposition (reg, i.e., regression).
Function cffilter [mFilter v0.1-5]
keywords
loess
title
Christiano-Fitzgerald filter of a time series
description
This function implements the Christiano-Fitzgerald approximation to the ideal band pass filter for a time series. The function computes cyclical and trend components of the time series using several band-pass approximation strategies.