Insert/remove function names in/from the NAMESPACE file
Distance matrix - Sum of all pairwise distances in a distance matrix
Natural logarithm of the gamma function and its derivatives
Natural Logarithm each element of a matrix
Column and rows-wise mean absolute deviations
Column and row-wise medians of a matrix or median of a vector.
Column and row-wise Order - Sort Indices
Minima and maxima of two vectors/matrices and Column-row wise minima and maxima of two matrices
Simulation of random values from a normal distribution
Sort - Integer Sort - Sort a vector coresponding to another
Table Creation - Frequency of each value
Operations between two matrices or matrix and vector
Many simple linear regressions coefficients
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
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
Bootstrap t-test for 2 independent samples
Fitted probabilities of the Terry-Bradley model
Many one sample goodness of fit tests for categorical data
Search for variables with zero range in a matrix
Cholesky decomposition of a square matrix
Column-wise Yule's Y (coefficient of colligation)
Colum-wise cumulative operations (sum, prod, min, max)
Column and row-wise variances and standard deviations
Many (and one) area under the curve values
Column and row wise coefficients of variation
Column-wise kurtosis and skewness coefficients
Column-wise MLE of some univariate distributions
Many tests for the dispersion parameter in Poisson distribution
Many ANOVAS for count data with Poisson or quasi Poisson models
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
Many moment and maximum likelihood estimations of variance components
Column-wise uniformity Watson test for circular data
All k possible combinations from n elements
FBED variable selection method using the correlation
Row - Wise matrix/vector count the frequency of a value
Cox confidence interval for the ratio of two Poisson variables
Hypothesis test for the distance correlation
Distance variance, covariance and correlation
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 - Sum of all pairwise distances in a distance matrix.
Density of the multivariate normal and t distributions
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
Hypothesis test for von Mises-Fisher distribution over Kent distribution
Forward selection with generalised linear regression models
G-square and Chi-square test of conditional indepdence
Matrix with G-square tests of indepedence
Many G-square and Chi-square tests of indepedence
MLE of continuous univariate distributions defined on the positive line
Prediction with some naive Bayes classifiers
Chi-square and G-square tests of (unconditional) indepdence
Some summary statistics of a vector for each level of a grouping variable
Eigenvalues and eigenvectors in high dimensional principal component analysis
MLE of the inverted Dirichlet distribution
Inverse Gaussian regression with a log-link
Check whether a square matrix is symmetric
Check if values are integers and convert to integer
James multivariate version of the t-test
Logistic or Poisson regression with a single categorical predictor
Many univariate simple logistic and Poisson regressions
Number of equal columns between two matrices
Generates random values from a normal and puts them in a matrix
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
MLE of the multivariate (log-) normal distribution
Apply method to Positive and Negative number
MLE of continuous univariate distributions defined on the real line
Many simple regressions for positive valued data
Column and row-wise nth smallest value of a matrix/vector
Orthogonal matching pursuit variable selection
MLE of the ordinal model without covariates
Hypothesis test for two means of percentages
Many hypothesis tests for two means of percentages
Permutation based p-value for the Pearson correlation coefficient
Tests for the dispersion parameter in Poisson distribution
Analysis of variance with a count variable
Many analysis of variance tests with a discrete variable
Quasi binomial regression for proportions
Many univariate simple quasi poisson regressions
Angular central Gaussian random values simulation
Simulation of random values from a Bingham distribution
Simulation of random values from a Bingham distribution with any symmetric matrix
Many univariate simple linear regressions
Many simple linear mixed model regressions
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
Simulation of random values from a von Mises-Fisher distribution
Random values simulation from a von Mises distribution
Hypothesis testing between two skewness or kurtosis coefficients
Inverse of a symmetric positive definite matrix
Fast and general - untyped represantation of a factor variable
Many univariate generalised linear models
Moment and maximum likelihood estimation of variance components
Index of the columns of a data.frame which are a specific type
MLE of count data (univariate discrete distributions)