Rfast

Insert/remove function names in/from the NAMESPACE file

Diagonal Matrix

Distance matrix

Hash object

Natural logarithm of the beta function

Binomial coefficient and its logarithm

Natural logarithm of the gamma function and its derivatives.

Natural Logarithm each element of a matrix

Match

Norm of a matrix

Outer function

Minima and maxima of two vectors/matrices

Ranks of the values of a vector

Really fast R functions

Simulation of random values from a normal distribution

Round each element of a matrix/vector

Sort - Integer Sort - Sort a vector coresponding to another

Represantation of Stack

Table Creation - Frequency of each value

Variance (and standard deviation) of a vector

Operations between two matrices or matrix and vector

MLE of (hyper-)spherical distributions

Equality of objects

Simple linear regressions coefficients

Matrix with all pairs of t-tests

Analysis of covariance

Many ANCOVAs

Significance testing for the coefficients of Quasi binomial or the quasi Poisson regression

ANOVA for two quasi Poisson regression models

Apply to each column a method under condition

Estimation of an AR(1) model

Convert R function to the Rfast's coresponding

Estimation of the Box-Cox transformation

MLE of distributions defined in the (0, 1) interval

BIC (using partial correlation) forward regression

BIC forward regression with generalised linear models

Binary search algorithm

Bootstrap t-test for 2 independent samples

Backward selection regression

Fitted probabilities of the Terry-Bradley model

Many one sample goodness of fit tests for categorical data

Check Namespace and Rd files

Search for variables with zero range in a matrix

Cholesky decomposition of a square matrix

Circular-linear correlation

Column-wise Yule's Y (coefficient of colligation)

Column and row-wise Any

Colum-wise cumulative operations (sum, prod, min, max)

Column and row-wise mean absolute deviations

Column and row-wise medians

Column-wise minimum and maximum of a matrix

Column and row-wise Order - Sort Indices

Column-row wise minima and maxima of two matrices

Column and row-wise ranks

Column and row-wise Shuffle

Column and row-wise tabulate

Column-wise true/false value of a matrix

Column and row-wise variances and standard deviations of a matrix

Many Welch's F-tests

Many are aunder the curve values

Column and row wise coefficients of variation

Column-wise differences

Column-wise kurtosis and skewness coefficients

Column and row-wise means of a matrix

Column-wise MLE of some univariate distributions

Column and row-wise nth smallest value of a matrix/vector

Many tests for the dispersion parameter in Poisson distribution

Many ANOVAS for count data with Poisson or quasi Poisson models

Column and row-wise products

Column and row-wise range of values of a matrix.

Many random intercepts LMMs for balanced data with a single identical covariate

Check if any column or row is fill with values

Column and row-wise sums of a matrix

Get specific columns/rows fo a matrix

Many moment and maximum likelihood estimations of variance components

Column-wise uniformity tests for circular data

All k possible combinations from n elements

FBED variable selection method using the correlation

Correlation based forward regression.

Correlation between pairs of variables

Correlation between a vector and a set of variables

Row - Wise matrix/vector count the frequency of a value

Fast covariance and correlation matrix calculation

Cox confidence interval for the ratio of two Poisson variables

Convert a dataframe to matrix

Distance correlation

Hypothesis test for the distance correlation

Distance variance and covariance

Design Matrix

Fitting a Dirichlet distribution via Newton-Rapshon

k-NN algorithm using the arc cosinus distance

Cross-Validation for the k-NN algorithm using the arc cosinus distance

Distance between vectors and a matrix

Density of the multivariate normal and t distributions

Energy distance between matrices

Empirical and exponential empirical likelihood tests for one sample

Empirical and exponential empirical likelihood tests for two samples

Limited number of eigenvalues and eigenvectors of a symmetric matrix

Deep copy and printing of an environment

Exact t-test for 2 independent samples

Many exponential regressions

Hypothesis test for von Mises-Fisher distribution over Kent distribution

Floyd-Warshall algorithm for shortest paths in a directed graph

Minimum and maximum frequencies of a vector

Variable selection in generalised linear regression models with forward selection

Multi-sample tests for vectors

Many multi-sample tests

G-square test of conditional indepdence

Matrix with G-square tests of indepdence

Many G-square tests of indepedence

MLE of continuous univariate distributions defined on the positive line

Gamma regression with a log-link

Naive Bayes classifiers

Prediction with some naive Bayes classifiers

Chi-square and G-square tests of (unconditional) indepdence

Many simple geometric regressions.

Many Gini coefficients

Logistic and Poisson regression models

Some summary statistics of a vector for each level of a grouping variable.

Find the given value in a hash table

Hash - Pair function

Hash object to a list object

Eigenvalues in high dimensional principal component analysis

MLE of the inverted Dirichlet distribution

Inverese Gaussian regression with a log-link

Check whether a square matrix is symmetric

Find element

Check if values are integers and convert to integer

Iterator

James multivariate version of the t-test

k nearest neighbours algorithm (k-NN)

Cross-Validation for the k-NN algorithm

Many multi-sample tests

Uniformity tests for circular data

Many F-tests with really huge matrices

Linear models for large scale data

Logistic or Poisson regression with a single categorical predictor

Many univariate simple binary logistic regressions

Lower and Upper triangular of a matrix

Mean - Median absolute deviation of a vector

Mahalanobis distance

Number of equal columns between two matrices

Matrix multiplication, Cross and Tcross product.

Column-wise matching coefficients

Generates random values from a normal and puts them in a matrix

Median of a vector

Fast calculation of the spherical and hyperspherical median

Minimum and maximum of a vector

MLE for multivariate discrete data

Multinomial regression

Many simple multinomial regressions.

Exponential empirical likelihood for a one sample mean vector hypothesis testing

Exponential empirical likelihood hypothesis testing for two mean vectors

Many multivariate simple linear regressions coefficients

Multivariate kurtosis

MLE of the multivariate (log-) normal distribution

MLE of the multivariate t distribution

Apply method to Positive and Negative number

MLE of continuous univariate distributions defined on the real line

Gaussian regression with a log-link

Many simple regressions for positive valued data

Many odds ratio tests

Odds ratio and relative risk

Orthogonal matching pursuit regression

MLE of the ordinal model without covariates

The skeleton of a Bayesian network produced by the PC algorithm

Hypothesis test for two means of percentages

Many hypothesis tests for two means of percentages

Permutation based p-value for the Pearson correlation coefficient

Permutation

Tests for the dispersion parameter in Poisson distribution

Analysis of variance with a count variable

Many analysis of variance tests with a discrete variable

Polyserial correlation

Pooled covariance matrix

Quasi binomial regression for proportions

Many 2 sample proportions tests

Quasi Poisson regression

Many univariate simple poisson regressions

Angular central Gaussian random values simulation

Simulating from a Bingham distribution

Simulation of random values from a Bingham distribution with any symmetric matrix

Reading the files of a directory

Many univariate simple linear regressions

Replicate columns/rows

Random intercepts linear mixed models

Many simple linear mixed model regressions

Repeated measures anova

Many regression based tests for single sample repeated measures

High dimensional MCD based detection of outliers

Multivariate Laplace random values simulation

Multivariate normal and t random values simulation

Row-wise minimum and maximum of a matrix.

Row-wise true value of a matrix

Random values simulation from a von Mises-Fisher distribution

Random values simulation from a von Mises distribution

Many score based regressions

Many Shapiro-Francia normality tests

Skewness and kurtosis coefficients

Skewness and kurtosis coefficients

Sorting of the columns-rows of a matrix

Sort and unique

Source many R files

Spatial median for Euclidean data

Spatial median regression

Inverse of a symmetric positive definite matrix

Circular or angular regression

Many simple circular or angular regressions

Vector allocation in a symmetric matrix

Spatial sign covariance matrix

Standardisation

Sub-matrix

MLE of the tobit model

Topological sort of a DAG

Sum of all pairwise distances in a distance matrix

Transpose of a matrix

Many one sample tests

One sample t-test for a vector

Many 2 sample tests tests

Many two-way ANOVAs

Fast and general represantation of a factor variable

Many univariate generalised linear regressions

Moment and maximum likelihood estimation of variance components

MLE of some circular distributions

Weibull regression model

Index of the columns of a data.frame which are a specific type

Yule's Y (coefficient of colligation)

MLE of count data