Compute labels for a test set according to the k-Nearest Neighbors classification. This is a fast way to do k-Nearest Neighbors classification because the distance matrix -between the features of the observations- is an input to the function rather than being calculated in the function itself every time.

Fast Nonconvex Deconvolution of Calcium Imaging Data
Estimate spike times from calcium imaging data using an L0 penalty.

R package to compute the FastPCS Algorithm
R implementation of the FastPCS algorithm for computing
the FastPCS outlyingness index.

R package to compute the FastPCS outlyingness index.

R implementation of the FastPCS algorithm for computing the FastPCS outlyingness index.

The FastPCS outlyingness index is an algorithm for finding outliers for the multivariate elliptical model.

person("Kaveh", "Vakili", email =
"vakili.kaveh.email@gmail.com", role = c("aut", "cre"))

FastPCS Robust Fit of Multivariate Location and Scatter
The FastPCS algorithm of Vakili and Schmitt (2014) for robust estimation of multivariate location and scatter and multivariate outliers detection.

The FastPCS algorithm of Vakili and Schmitt (2014) <doi:10.1016/j.csda.2013.07.021> for robust estimation of multivariate location and scatter and multivariate outliers detection.

R package to compute the FastRCS Algorithm
R implementation of the FastRCS algorithm for computing the FastRCS outlyingness index.

R package to compute the FastRCS outlyingness index.
The FastRCS outlyingness index is an algorithm for finding outliers for the linear regression model.

FastRCS Robust Fit of Multivariable Linear Regression Model
The FastRCS algorithm of Vakili and Schmitt (2014) for robust fit of the multivariable linear regression model and outliers detection.

Fits the FastRCS Robust Multivariable Linear Regression Model

Fast Interactive Framework for Web Scripting Using R
This package prodives a way of creating rich web contents
using fast-response R

This package provides a way of creating rich web contents using fast-response R