| Rfast-package | Really fast R functions |
| allbetas | Simple linear regressions coefficients |
| all_equals | Equality of objects |
| anovas | Many multi-sample tests |
| beta.mle | MLE of the Beta distribution |
| binary_search | Binary search algorithm |
| check_data | Search for variables with zero range in a matrix |
| colhameans | Column and row-wise means of a matrix |
| colMads | Column and row-wise mean absolute deviations |
| colMaxs | Column-wise minimum and maximum of a matrix |
| colmeans | Column and row-wise means of a matrix |
| colMedians | Column and row-wise medians |
| colMins | Column-wise minimum and maximum of a matrix |
| colMinsMaxs | Column-wise minimum and maximum of a matrix |
| colrange | Column and row-wise range of values of a matrix. |
| colsums | Column and row-wise sums of a matrix |
| colVars | Column and row-wise variances and standard deviations of a matrix |
| comb_n | All k possible combinations from n elements |
| cor.fsreg | Correlation based forward regression. |
| cora | Fast covariance and correlation matrix calculation |
| correls | Correlation between a vector and a set of variables |
| count_value | Count the frequency of a value |
| cova | Fast covariance and correlation matrix calculation |
| data.frame.to_matrix | Convert a dataframe to matrix |
| design_matrix | Design Matrix |
| Digamma | Natural logarithm of the gamma function and its derivatives. |
| diri.nr2 | Fitting a Dirichlet distribution via Newton-Rapshon |
| Dist | Distance matrix |
| dista | Distance between vectors and a matrix |
| floyd | Floyd-Warshall algorithm for shortest paths in a directed graph |
| ftests | Many multi-sample tests |
| g2Test | G-square test of conditional indepdence |
| g2Test_perm | G-square test of conditional indepdence |
| g2Test_univariate | G-square test of indepdence |
| g2Test_univariate_perm | G-square test of indepdence |
| hash.find | Find the given value in a hash table |
| hash.list | Hash - Pair function |
| is.symmetric | Check whether a square matrix is symmetric |
| is_element | Find element |
| Lgamma | Natural logarithm of the gamma function and its derivatives. |
| logistic_only | Many univariate simple binary logistic regressions |
| mahala | Mahalanobis distance |
| Match | Match |
| med | Median of a vector |
| min_max | Minimum and maximum of a vector |
| mvbetas | Many multivariate simple linear regressions coefficients |
| negbin.mle | MLE of count data |
| nth | The nth smallest value of a vector |
| Order | Order |
| permutation | Permutation |
| permutation.next | Permutation |
| permutation.prev | Permutation |
| poisson_only | Many univariate simple poisson regressions |
| proptests | Many 2 sample proportions tests |
| racg | Angular central Gaussian random values simulation |
| regression | Many univariate simple linear regressions |
| rmvlaplace | Multivariate Laplace random values simulation |
| rmvnorm | Multivariate normal and t random values simulation |
| rmvt | Multivariate normal and t random values simulation |
| rowhameans | Column and row-wise means of a matrix |
| rowMaxs | Row-wise minimum and maximum of a matrix. |
| rowmeans | Column and row-wise means of a matrix |
| rowMedians | Column and row-wise medians |
| rowMins | Row-wise minimum and maximum of a matrix. |
| rowrange | Column and row-wise range of values of a matrix. |
| rowsums | Column and row-wise sums of a matrix |
| rowVars | Column and row-wise variances and standard deviations of a matrix |
| score.betaregs | Many score based Beta regressions |
| score.glms | Many score based GLM regressions |
| score.multinomregs | Many score based GLM regressions |
| score.negbinregs | Many score based negative binomial regressions |
| score.weibregs | Many score based Weibull regressions |
| sort_cor_vectors | Sort |
| sort_index | Sort |
| sort_mat | Sorting of the columns of a matrix |
| sort_unique | Sort and unique |
| spat.med | Spatial median for Euclidean data |
| standardise | Standardisation |
| Trigamma | Natural logarithm of the gamma function and its derivatives. |
| ttests | Many 2 sample tests t-tests |
| univglms | Many univariate generalised linear regressions |
| Var | Variance of a vector |
| weibull.mle | MLE of the Weibull distribution |
| which_isFactor | Index of the columns of a data.frame which are factor variables |
| zip.mle | MLE of count data |
| ztp.mle | MLE of count data |