| acg.mle | MLE of (hyper-)spherical distributions |
| AddToNamespace | Insert/remove function names in/from the NAMESPACE file |
| allbetas | Simple linear regressions coefficients |
| allttests | Matrix with all pairs of t-tests |
| ancova1 | Analysis of covariance |
| ancovas | Many ANCOVAs |
| anova_propreg | Significance testing for the coefficients of Quasi binomial... |
| anova_quasipois.reg | ANOVA for two quasi Poisson regression models |
| apply.condition | Apply to each column a method under condition |
| ar1 | Estimation of an AR(1) model |
| as.Rfast.function | Convert R function to the Rfast's coresponding |
| bc | Estimation of the Box-Cox transformation |
| beta.mle | MLE of distributions defined in the (0, 1) interval |
| bic.corfsreg | BIC (using partial correlation) forward regression |
| bic.fs.reg | BIC forward regression with generalised linear models |
| binary_search | Binary search algorithm |
| boot.ttest2 | Bootstrap t-test for 2 independent samples |
| bs.reg | Backward selection regression |
| btmprobs | Fitted probabilities of the Terry-Bradley model |
| cat.goftests | Many one sample goodness of fit tests for categorical data |
| check_data | Search for variables with zero range in a matrix |
| checkNamespace | Check Namespace and Rd files |
| cholesky | Cholesky decomposition of a square matrix |
| circlin.cor | Circular-linear correlation |
| coeff | Coefficient matrices |
| colanovas | Many Welch's F-tests |
| colAny | Column and row-wise Any |
| colaucs | Many area under the curve values |
| colCumMaxs | Colum-wise cumulative operations (sum, prod, min, max) |
| colcvs | Column and row wise coefficients of variation |
| coldiffs | Column-wise differences |
| colkurtosis | Column-wise kurtosis and skewness coefficients |
| colmeans | Column and row-wise means of a matrix |
| colMins | Column-wise minimum and maximum of a matrix |
| colnormal.mle | Column-wise MLE of some univariate distributions |
| colpoisdisp.tests | Many tests for the dispersion parameter in Poisson... |
| colpoisson.anovas | Many ANOVAS for count data with Poisson or quasi Poisson... |
| colprods | Column and row-wise products |
| colrange | Column and row-wise range of values of a matrix |
| colrint.regbx | Many random intercepts LMMs for balanced data with a single... |
| colrow.value | Check if any column or row is fill with values |
| colShuffle | Column and row-wise Shuffle |
| colsums | Column and row-wise sums of a matrix |
| colTabulate | Column and row-wise tabulate |
| colTrue | Column-wise true/false value of a matrix |
| columns | Get specific columns/rows fo a matrix |
| colvarcomps.mom | Many moment and maximum likelihood estimations of variance... |
| colVars | Column and row-wise variances and standard deviations of a... |
| colwatsons | Column-wise uniformity tests for circular data |
| col.yule | Column-wise Yule's Y (coefficient of colligation) |
| comb_n | All k possible combinations from n elements |
| cor.fbed | FBED variable selection method using the correlation |
| cor.fsreg | Correlation based forward regression |
| corpairs | Correlation between pairs of variables |
| correls | Correlation between a vector and a set of variables |
| count_value | Row - Wise matrix/vector count the frequency of a value |
| cova | Fast covariance and correlation matrix calculation |
| cox.poisrat | Cox confidence interval for the ratio of two Poisson... |
| data.frame.to_matrix | Convert a dataframe to matrix |
| dcor.ttest | Hypothesis test for the distance correlation |
| dcov | Distance variance, covariance and correlation |
| design_matrix | Design Matrix |
| Diag.fill | Diagonal Matrix |
| diri.nr2 | Fitting a Dirichlet distribution via Newton-Rapshon |
| dirknn | k-NN algorithm using the arc cosinus distance |
| dirknn.cv | Cross-Validation for the k-NN algorithm using the arc cosinus... |
| Dist | Distance matrix - Sum of all pairwise distances in a distance... |
| dista | Distance between vectors and a matrix - Sum of all pairwise... |
| dmvnorm | Density of the multivariate normal and t distributions |
| edist | Energy distance between matrices |
| eel.test1 | Empirical and exponential empirical likelihood tests for one... |
| eel.test2 | Empirical and exponential empirical likelihood tests for two... |
| eigen.sym | Limited number of eigenvalues and eigenvectors of a symmetric... |
| env.copy | Deep copy |
| exact.ttest2 | Exact t-test for 2 independent samples |
| expregs | Many exponential regressions |
| fish.kent | Hypothesis test for von Mises-Fisher distribution over Kent... |
| floyd | Floyd-Warshall algorithm for shortest paths in a directed... |
| freq.min | Minimum and maximum frequencies of a vector |
| fs.reg | Variable selection in generalised linear regression models... |
| ftest | Multi-sample tests for vectors |
| ftests | Many multi-sample tests |
| g2Test | G-square test of conditional indepdence |
| g2tests | Many G-square tests of indepedence |
| g2Test_univariate | Matrix with G-square tests of indepdence |
| gammamle | MLE of continuous univariate distributions defined on the... |
| gammareg | Gamma regression with a log-link |
| gaussian.nb | Naive Bayes classifiers |
| gaussiannb.pred | Prediction with some naive Bayes classifiers |
| gchi2Test | Chi-square and G-square tests of (unconditional) indepdence |
| geom.regs | Many simple geometric regressions |
| ginis | One and many Gini coefficients |
| glm_logistic | Logistic and Poisson regression models |
| group | Some summary statistics of a vector for each level of a... |
| Hash | Hash object |
| hash2list | Hash object to a list object |
| hash.find | Find the given value in a hash table |
| hash.list | Hash - Pair function |
| hd.eigen | Eigenvalues in high dimensional principal component analysis |
| invdir.mle | MLE of the inverted Dirichlet distribution |
| invgauss.reg | Inverese Gaussian regression with a log-link |
| is_element | Find element |
| is_integer | Check if values are integers and convert to integer |
| is.symmetric | Check whether a square matrix is symmetric |
| iterator | Iterator |
| james | James multivariate version of the t-test |
| knn | k nearest neighbours algorithm (k-NN) |
| knn.cv | Cross-Validation for the k-NN algorithm |
| kruskaltests | Many multi-sample tests |
| kuiper | Uniformity tests for circular data |
| Lbeta | Natural logarithm of the beta function |
| Lchoose | Binomial coefficient and its logarithm |
| Lgamma | Natural logarithm of the gamma function and its derivatives |
| list.ftests | Many F-tests with really huge matrices |
| lmfit | Linear models for large scale data |
| Log | Natural Logarithm each element of a matrix |
| logistic.cat1 | Logistic or Poisson regression with a single categorical... |
| logistic_only | Many univariate simple binary logistic regressions |
| lower_tri | Lower and Upper triangular of a matrix |
| Mad | Column and row-wise mean absolute deviations |
| mahala | Mahalanobis distance |
| Match | Match |
| match.coefs | Column-wise matching coefficients |
| mat.mat | Number of equal columns between two matrices |
| mat.mult | Matrix multiplication, Cross and Tcross product |
| matrnorm | Generates random values from a normal and puts them in a... |
| Median | Column and row-wise medians of a matrix or median of a vector |
| mediandir | Fast calculation of the spherical and hyperspherical median |
| min_max | Minimum and maximum of a vector |
| multinom.mle | MLE for multivariate discrete data |
| multinom.reg | Multinomial regression |
| multinom.regs | Many simple multinomial regressions |
| mvbetas | Many multivariate simple linear regressions coefficients |
| mv.eeltest1 | Exponential empirical likelihood for a one sample mean vector... |
| mv.eeltest2 | Exponential empirical likelihood hypothesis testing for two... |
| mvkurtosis | Multivariate kurtosis |
| mvnorm.mle | MLE of the multivariate (log-) normal distribution |
| mvt.mle | MLE of the multivariate t distribution |
| negative | Apply method to Positive and Negative number |
| Norm | Norm of a matrix |
| normal.mle | MLE of continuous univariate distributions defined on the... |
| normlog.reg | Gaussian regression with a log-link |
| normlog.regs | Many simple regressions for positive valued data |
| nth | Column and row-wise nth smallest value of a matrix/vector |
| odds | Many odds ratio tests |
| odds.ratio | Odds ratio and relative risk |
| ompr | Orthogonal matching pursuit variable selection |
| Order | Column and row-wise Order - Sort Indices |
| ordinal.mle | MLE of the ordinal model without covariates |
| Outer | Outer function |
| pc.skel | The skeleton of a Bayesian network produced by the PC... |
| pdcor | Partial distance correlation |
| percent.ttest | Hypothesis test for two means of percentages |
| percent.ttests | Many hypothesis tests for two means of percentages |
| permcor | Permutation based p-value for the Pearson correlation... |
| permutation | Permutation |
| Pmax | Minima and maxima of two vectors/matrices and Column-row wise... |
| poisdisp.test | Tests for the dispersion parameter in Poisson distribution |
| poisson.anova | Analysis of variance with a count variable |
| poisson.anovas | Many analysis of variance tests with a discrete variable |
| poly.cor | Polyserial correlation |
| pooled.cov | Pooled covariance matrix |
| prop.reg | Quasi binomial regression for proportions |
| proptests | Many 2 sample proportions tests |
| qpois.reg | Quasi Poisson regression |
| quasi.poisson_only | Many univariate simple poisson regressions |
| racg | Angular central Gaussian random values simulation |
| Rank | Column and row-wise ranks |
| rbing | Simulating from a Bingham distribution |
| rbingham | Simulation of random values from a Bingham distribution with... |
| read.directory | Reading the files of a directory |
| regression | Many univariate simple linear regressions |
| rep_col | Replicate columns/rows |
| Rfast-package | A Collection of Efficient and Extremely Fast R Functions |
| rint.regbx | Random intercepts linear mixed models |
| rint.regs | Many simple linear mixed model regressions |
| rm.anova | Repeated measures anova |
| rmdp | High dimensional MCD based detection of outliers |
| rm.lines | Many regression based tests for single sample repeated... |
| rmvlaplace | Multivariate Laplace random values simulation |
| rmvnorm | Multivariate normal and t random values simulation |
| Rnorm | Simulation of random values from a normal distribution |
| Round | Round each element of a matrix/vector |
| rowMins | Row-wise minimum and maximum of a matrix |
| rowTrue | Row-wise true value of a matrix |
| rvmf | Random values simulation from a von Mises-Fisher distribution |
| rvonmises | Random values simulation from a von Mises distribution |
| score.glms | Many score based regressions |
| sftests | Many Shapiro-Francia normality tests |
| skew | Skewness and kurtosis coefficients |
| skew.test2 | Hypothesis testing between two skewness or kurtosis... |
| Sort | Sort - Integer Sort - Sort a vector coresponding to another |
| sort_mat | Sorting of the columns-rows of a matrix |
| sort_unique | Sort and unique |
| sourceR | Source many R files |
| spat.med | Spatial median for Euclidean data |
| spatmed.reg | Spatial median regression |
| spdinv | Inverse of a symmetric positive definite matrix |
| spml.reg | Circular or angular regression(s) |
| squareform | Vector allocation in a symmetric matrix |
| sscov | Spatial sign covariance matrix |
| Stack | Represantation of Stack |
| standardise | Standardisation |
| submatrix | Sub-matrix |
| Table | Table Creation - Frequency of each value |
| tobit.mle | MLE of the tobit model |
| topological_sort | Topological sort of a DAG |
| transpose | Transpose of a matrix |
| ttest | Many one sample tests |
| ttest1 | One sample t-test for a vector |
| ttests | Many 2 sample tests tests |
| twoway.anovas | Many two-way ANOVAs |
| ufactor | Fast and general represantation of a factor variable |
| univglms | Many univariate generalised linear regressions |
| Var | Variance (and standard deviation) of a vector |
| varcomps.mom | Moment and maximum likelihood estimation of variance... |
| vm.mle | MLE of some circular distributions |
| weib.reg | Weibull regression model |
| which.is | Index of the columns of a data.frame which are a specific... |
| XopY.sum | Operations between two matrices or matrix and vector |
| yule | Yule's Y (coefficient of colligation) |
| zip.mle | MLE of count data |
