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.