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Showing results 1 to 10 of 3,297.


Function isotone [DDHFm v1.1.2]
keywords
regression
title
Performs Isotone regression using "pool-adjacent-violators" algorithm
description
It is applied in order to estimate the h() function in the Data-Driven Haar-Fisz algorithm
Function edr.R [EDR v0.6-6]
keywords
regression
title
Eigenvectors of the effective dimension reduction (EDR) space
description
Computes the eigenvectors of the effective dimension reduction (EDR) space obtained by function edr.
Function sel.control [changepointsVar v0.1.0]
keywords
regression
title
Auxiliary function for controlling model selection
description
Auxiliary function as user interface for model selection. Typically only used when calling 'jumpointsVar'
Function fit.control [changepointsVar v0.1.0]
keywords
regression
title
Auxiliary function for controlling model fitting
description
Auxiliary function as user interface for model fitting. Typically only used when calling 'jumpointsVar'
Function fmri.detrend [fmri v1.7-2]
keywords
regression
title
Detrend fMRI time series
description
Detrend fMRI dataset with a polynomial of given degree
Function fmri.metaPar [fmri v1.7-2]
keywords
regression
title
Linear Mixed-effects Meta-Analysis model for fMRI data
description
Group maps are estimated from BOLD effect estimates and their variances previously determined for each subject. The function rma.uni from R package metafor is used to fit mixed-effects meta-analytic models at group level. Voxel-wise regression analysis is accelerated by optional parallel processing using R package parallel.
Function fmri.lmePar [fmri v1.7-2]
keywords
regression
title
Linear Mixed-effects Model for fMRI data
description
Group maps are directly estimated from the BOLD time series data of all subjects using lme from R package nlme to fit a Linear Mixed-effects Model with temporally correlated and heteroscedastic within-subject errors. Voxel-wise regression analysis is accelerated by optional parallel processing using R package parallel.
Function predict.ctqr [ctqr v1.0]
keywords
regression
title
Prediction After Quantile Regression
description
This function returns predictions for an object of class “ctqr”.
Function lad [L1pack v0.38.19]
keywords
regression
title
Least absolute deviations regression
description
This function is used to fit linear models considering Laplace errors.
Function l1fit [L1pack v0.38.19]
keywords
regression
title
Minimum absolute residual (L1) regression
description
Performs an L1 regression on a matrix of explanatory variables and a vector of responses.