A Collection of Efficient and Extremely Fast R Functions

acg.mle | MLE of (hyper-)spherical distributions |

AddToNamespace | Insert/remove function names in/from the NAMESPACE file |

allbetas | Simple linear regressions coefficients |

all_equals | Equality of objects |

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 |

colanovas | Many Welch's F-tests |

colAny | Column and row-wise Any |

colaucs | Many are aunder 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 |

colMads | Column and row-wise mean absolute deviations |

colmeans | Column and row-wise means of a matrix |

colMedians | Column and row-wise medians |

colMins | Column-wise minimum and maximum of a matrix |

colnormal.mle | Column-wise MLE of some univariate distributions |

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

colOrder | Column and row-wise Order - Sort Indices |

colPmax | Column-row wise minima and maxima of two matrices |

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. |

colRanks | Column and row-wise ranks |

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 | Distance correlation |

dcor.ttest | Hypothesis test for the distance correlation |

dcov | Distance variance and covariance |

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 |

Dist | Distance matrix |

dista | Distance between vectors and a matrix |

dmvnorm | Density of the multivariate normal and t distributions |

edist | Energy distance between matrices |

eel.test1 | One sample exponential empirical likelihood test |

eel.test2 | Two sample exponential empirical likelihood test |

eigs.sym | Limited number of eigenvalues and eigenvectors of a symmetric... |

env.copy | Deep copy and printing of an environment |

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 |

gammaregs | Many simple Gamma regressions 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 | Many Gini coefficients |

glm_logistic | Logistic and Poisson regression models |

group.sum | Sums of a vector for each level of a grouping variable |

group.var | 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 |

invgauss.regs | Many simple inverse Gaussian regressions 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 |

mad2 | Mean - Median absolute deviation of a vector |

mahala | Mahalanobis distance |

Match | Match |

match.coefs | Column-wise matching coefficients |

mat.mat | Number of equal columns between two matrices |

mat.mult | Matrix multiplication |

matrnorm | Generates random values from a normal and puts them in a... |

med | 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 Gaussian regressions with a log-link |

odds | Many odds ratio tests |

odds.ratio | Odds ratio and relative risk |

ompr | Orthogonal matching pursuit regression |

ordinal.mle | Natural logarithm of the beta functionMLE of the ordinal... |

Outer | Outer function |

pc.skel | The skeleton of a Bayesian network produced by the PC... |

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 |

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 |

poisson_only | Many univariate simple poisson regressions |

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 | Ranks of the values of a vector |

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 | Really 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.betaregs | Many score based regression models. |

score.glms | Many score based GLM regressions |

sftests | Many Shapiro-Francia normality tests |

skew | Skewness and kurtosis coefficients |

skew.test2 | Skewness and kurtosis coefficients |

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 |

spml.regs | Many simple circular or angular regressions |

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 |

total.dist | Sum of all pairwise distances in a distance matrix |

transpose | Transpose of a matrix |

trim.colmeans | Column and row-wise trimmed means 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_isFactor | 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 |

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