A B C D E F G H I J K L M N O P Q R S T U V W X Y Z misc

Rfast-package | Really 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 |

allttests | Matrix with all pairs of t-tests |

all_equals | Equality of objects |

ancova1 | Analysis of covariance |

ancovas | Many ANCOVAs |

anova1 | Multi-sample tests for vectors |

anovas | Many multi-sample tests |

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

anova_qpois.reg | Significance testing for the coefficients of Quasi binomial or the quasi Poisson regression |

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 |

as_integer | Check if values are integers and convert to integer |

auc | Many are aunder the curve values |

bc | Estimation of the Box-Cox transformation |

bcdcor | Distance correlation |

beta.mle | MLE of distributions defined in the (0, 1) interval |

betabinom.mle | MLE of count data |

betageom.mle | MLE of count data |

betaprime.mle | MLE of continuous univariate distributions defined on the positive line |

bic.corfsreg | BIC (using partial correlation) forward regression |

bic.fs.reg | BIC forward regression with generalised linear models |

binary_search | Binary search algorithm |

bincomb | Permutation |

binom.mle | MLE of count data |

block.anova | Multi-sample tests for vectors |

block.anovas | Many multi-sample tests |

boot.ttest2 | Bootstrap t-test for 2 independent samples |

borel.mle | MLE of count data |

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 |

cauchy.mle | MLE of continuous univariate distributions defined on the real line |

checkAliases | Check Namespace and Rd files |

checkExamples | Check Namespace and Rd files |

checkNamespace | Check Namespace and Rd files |

checkTF | Check Namespace and Rd files |

checkUsage | Check Namespace and Rd files |

check_data | Search for variables with zero range in a matrix |

chi2Test | G-square test of conditional indepdence |

chi2tests | Many G-square tests of indepedence |

chi2Test_univariate | Matrix with G-square tests of indepdence |

chisq.mle | MLE of continuous univariate distributions defined on the positive line |

cholesky | Cholesky decomposition of a square matrix |

Choose | Binomial coefficient and its logarithm |

circlin.cor | Circular-linear correlation |

col.coxpoisrat | Cox confidence interval for the ratio of two Poisson variables |

col.yule | Column-wise Yule's Y (coefficient of colligation) |

colAll | Column and row-wise Any |

colanovas | Many Welch's F-tests |

colAny | Column and row-wise Any |

colar1 | Estimation of an AR(1) model |

colaucs | Many are aunder the curve values |

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

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

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

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

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

colcvs | Column and row wise coefficients of variation |

coldiffs | Column-wise differences |

colexp2.mle | Column-wise MLE of some univariate distributions |

colexpmle | Column-wise MLE of some univariate distributions |

colFalse | Column-wise true/false value of a matrix |

colgammamle | Column-wise MLE of some univariate distributions |

colgeom.mle | MLE for multivariate discrete data |

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

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

colkurtosis | Column-wise kurtosis and skewness coefficients |

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

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

colMads | Column and row-wise mean absolute deviations |

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

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 |

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

colnormlog.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 |

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

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

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

colpois.tests | Many tests for the dispersion parameter in Poisson distribution |

colpoisdisp.tests | Many tests for the dispersion parameter in Poisson distribution |

colpoisson.anovas | Many ANOVAS for count data with Poisson or quasi Poisson models |

colpoisson.mle | MLE for multivariate discrete data |

colprods | Column and row-wise products |

colquasipoisson.anovas | Many ANOVAS for count data with Poisson or quasi Poisson models |

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

colRanks | Column and row-wise ranks |

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

colrint.regbx | Many random intercepts LMMs for balanced data with a single identical covariate |

colrow.value | Check if any column or row is fill with values |

colShuffle | Column and row-wise Shuffle |

colskewness | Column-wise kurtosis and skewness coefficients |

colSort | Sorting of the columns-rows of a matrix |

colsums | Column and row-wise sums of a matrix |

colTabulate | Column and row-wise tabulate |

colTrue | Column-wise true/false value of a matrix |

colTrueFalse | Column-wise true/false value of a matrix |

columns | Get specific columns/rows fo a matrix |

colvarcomps.mle | Many moment and maximum likelihood estimations of variance components |

colvarcomps.mom | Many moment and maximum likelihood estimations of variance components |

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

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

colwatsons | Column-wise uniformity tests for circular data |

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

comb_n | All k possible combinations from n elements |

cor.fbed | FBED variable selection method using the correlation |

cor.fsreg | Correlation based forward regression. |

cora | Fast covariance and correlation matrix calculation |

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 variables |

cqtest | Multi-sample tests for vectors |

cqtests | Many multi-sample tests |

Crossprod | Matrix multiplication, Cross and Tcross product. |

ct.mle | MLE of continuous univariate distributions defined on the real line |

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 |

Diag.matrix | Diagonal Matrix |

Digamma | Natural logarithm of the gamma function and its derivatives. |

diri.nr2 | Fitting a Dirichlet distribution via Newton-Rapshon |

dirimultinom.mle | MLE for multivariate discrete data |

dirknn | k-NN algorithm using the arc cosinus distance |

dirknn.cv | Cross-Validation for the 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 |

dmvt | Density of the multivariate normal and t distributions |

dvar | Distance variance and covariance |

eachcol.apply | Operations between two matrices or matrix and vector |

eachrow | Operations between two matrices or matrix and vector |

edist | Energy distance between matrices |

eel.test1 | Empirical and exponential empirical likelihood tests for one sample |

eel.test2 | Empirical and exponential empirical likelihood tests for two samples |

eigen.sym | Limited number of eigenvalues and eigenvectors of a symmetric matrix |

el.test1 | Empirical and exponential empirical likelihood tests for one sample |

el.test2 | Empirical and exponential empirical likelihood tests for two samples |

Elem | Iterator |

Elem.iterator | Iterator |

Elem<- | Iterator |

Elem<-.iterator | Iterator |

env.copy | Deep copy |

exact.ttest2 | Exact t-test for 2 independent samples |

exp2.mle | MLE of continuous univariate distributions defined on the positive line |

expmle | MLE of continuous univariate distributions defined on the positive line |

expregs | Many exponential regressions |

fish.kent | Hypothesis test for von Mises-Fisher distribution over Kent distribution |

floyd | Floyd-Warshall algorithm for shortest paths in a directed graph |

foldnorm.mle | MLE of continuous univariate distributions defined on the positive line |

freq.max | Minimum and maximum frequencies of a vector |

freq.min | Minimum and maximum frequencies of a vector |

fs.reg | Variable selection in generalised linear regression models with forward selection |

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 |

g2tests_perm | Many G-square tests of indepedence |

g2Test_perm | G-square test of conditional indepdence |

g2Test_univariate | Matrix with G-square tests of indepdence |

g2Test_univariate_perm | Matrix with G-square tests of indepdence |

gammacon | Gamma regression with a log-link |

gammamle | MLE of continuous univariate distributions defined on the positive line |

gammanb | Naive Bayes classifiers |

gammanb.pred | Prediction with some naive Bayes classifiers |

gammareg | Gamma regression with a log-link |

gammaregs | Many simple regressions for positive valued data |

gaussian.nb | Naive Bayes classifiers |

gaussiannb.pred | Prediction with some naive Bayes classifiers |

gchi2Test | Chi-square and G-square tests of (unconditional) indepdence |

geom.anova | Analysis of variance with a count variable |

geom.anovas | Many analysis of variance tests with a discrete variable |

geom.mle | MLE of count data |

geom.nb | Naive Bayes classifiers |

geom.regs | Many simple geometric regressions. |

geomnb.pred | Prediction with some naive Bayes classifiers |

ginis | Many Gini coefficients |

glm_logistic | Logistic and Poisson regression models |

glm_poisson | Logistic and Poisson regression models |

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

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

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

groupcorrels | Correlation between a vector and a set of variables |

gumbel.mle | MLE of continuous univariate distributions defined on the real line |

halfnorm.mle | MLE of continuous univariate distributions defined on the positive line |

Hash | Hash object |

hash.find | Find the given value in a hash table |

Hash.key.multi | Hash object |

hash.list | Hash - Pair function |

hash2list | Hash object to a list object |

hd.eigen | Eigenvalues in high dimensional principal component analysis |

hsecant01.mle | MLE of distributions defined in the (0, 1) interval |

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

ibeta.mle | MLE of distributions defined in the (0, 1) interval |

invdir.mle | MLE of the inverted Dirichlet distribution |

invgauss.mle | MLE of continuous univariate distributions defined on the positive line |

invgauss.reg | Inverese Gaussian regression with a log-link |

invgauss.regs | Many simple regressions for positive valued data |

is.symmetric | Check whether a square matrix is symmetric |

is_element | Find element |

is_integer | Check if values are integers and convert to integer |

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 |

kruskaltest | Multi-sample tests for vectors |

kruskaltests | Many multi-sample tests |

kuiper | Uniformity tests for circular data |

kurt | Skewness and kurtosis coefficients |

kurt.test2 | Hypothesis testing between two skewness or kurtosis coefficients |

laplace.mle | MLE of continuous univariate distributions defined on the real line |

Lbeta | Natural logarithm of the beta function |

Lchoose | Binomial coefficient and its logarithm |

length.Hash | Hash object |

Lgamma | Natural logarithm of the gamma function and its derivatives. |

lindley.mle | MLE of continuous univariate distributions defined on the positive line |

list.ftests | Many F-tests with really huge matrices |

lmfit | Linear models for large scale data |

Log | Natural Logarithm each element of a matrix |

logcauchy.mle | MLE of continuous univariate distributions defined on the positive line |

logistic.cat1 | Logistic or Poisson regression with a single categorical predictor |

logistic.mle | MLE of continuous univariate distributions defined on the real line |

logistic_only | Many univariate simple binary logistic regressions |

logitnorm.mle | MLE of distributions defined in the (0, 1) interval |

loglogistic.mle | MLE of continuous univariate distributions defined on the positive line |

lognorm.mle | MLE of continuous univariate distributions defined on the positive line |

logseries.mle | MLE of count data |

lomax.mle | MLE of continuous univariate distributions defined on the positive line |

lower_tri | Lower and Upper triangular of a matrix |

lower_tri.assign | Lower and Upper triangular of a matrix |

Mad | Mean - Median absolute deviation of a vector |

mad2 | Mean - Median absolute deviation of a vector |

mahala | Mahalanobis distance |

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

mat.mult | Matrix multiplication, Cross and Tcross product. |

Match | Match |

match.coefs | Column-wise matching coefficients |

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

maxboltz.mle | MLE of continuous univariate distributions defined on the positive line |

mcnemar | Multi-sample tests for vectors |

mcnemars | Many 2 sample tests tests |

med | Median of a vector |

Median | 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.nb | Naive Bayes classifiers |

multinom.reg | Multinomial regression |

multinom.regs | Many simple multinomial regressions. |

multinomnb.pred | Prediction with some naive Bayes classifiers |

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

mv.eeltest1 | Exponential empirical likelihood for a one sample mean vector hypothesis testing |

mv.eeltest2 | Exponential empirical likelihood hypothesis testing for two mean vectors |

mvbetas | Many multivariate simple linear regressions coefficients |

mvkurtosis | Multivariate kurtosis |

mvlnorm.mle | MLE of the multivariate (log-) normal distribution |

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 |

negbin.mle | MLE of count data |

Norm | Norm of a matrix |

normal.mle | MLE of continuous univariate distributions defined on the real line |

normlog.mle | MLE of continuous univariate distributions defined on the positive line |

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 |

omp | Orthogonal matching pursuit variable selection |

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 |

pareto.mle | MLE of continuous univariate distributions defined on the positive line |

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

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 coefficient |

permutation | Permutation |

permutation.next | Permutation |

permutation.prev | Permutation |

Pmax | Minima and maxima of two vectors/matrices |

Pmin | Minima and maxima of two vectors/matrices |

Pmin_Pmax | Minima and maxima of two vectors/matrices |

pois.test | Tests for the dispersion parameter in Poisson distribution |

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.cat1 | Logistic or Poisson regression with a single categorical predictor |

poisson.mle | MLE of count data |

poisson.nb | Naive Bayes classifiers |

poissonnb.pred | Prediction with some naive Bayes classifiers |

poisson_only | Many univariate simple binary logistic regressions |

poly.cor | Polyserial correlation |

pooled.cov | Pooled covariance matrix |

positive | Apply method to Positive and Negative number |

positive.negative | Apply method to Positive and Negative number |

print.Hash | Hash object |

print.iterator | Iterator |

print.ufactor | Fast and general represantation of a factor variable |

prop.reg | Quasi binomial regression for proportions |

prop.regs | Quasi binomial regression for proportions |

proptest | Many one sample tests |

proptests | Many 2 sample proportions tests |

qpois.reg | Quasi Poisson regression |

qpois.regs | Quasi Poisson regression |

quasi.poisson_only | Many univariate simple poisson regressions |

quasipoisson.anova | Analysis of variance with a count variable |

quasipoisson.anovas | Many analysis of variance tests with a discrete variable |

racg | Angular central Gaussian random values simulation |

Rank | Ranks of the values of a vector |

rayleigh.mle | MLE of continuous univariate distributions defined on the positive line |

rbing | Simulating from a Bingham distribution |

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

read.directory | Reading the files of a directory |

read.examples | Reading the files of a directory |

regression | Many univariate simple linear regressions |

rel.risk | Odds ratio and relative risk |

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

rep_col | Replicate columns/rows |

rep_row | Replicate columns/rows |

rint.mle | Moment and maximum likelihood estimation of variance components |

rint.reg | Random intercepts linear mixed models |

rint.regbx | Random intercepts linear mixed models |

rint.regs | Many simple linear mixed model regressions |

rm.anova | Repeated measures anova |

rm.anovas | Many regression based tests for single sample repeated measures |

rm.lines | Many regression based tests for single sample repeated measures |

rmdp | High dimensional MCD based detection of outliers |

rmvlaplace | Multivariate Laplace random values simulation |

rmvnorm | Multivariate normal and t random values simulation |

rmvt | Multivariate normal and t random values simulation |

Rnorm | Simulation of random values from a normal distribution |

Round | Round each element of a matrix/vector |

rowAll | Column and row-wise Any |

rowAny | Column and row-wise Any |

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

rowcvs | Column and row wise coefficients of variation |

rowFalse | Row-wise true value of a matrix |

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

rowMads | Column and row-wise mean absolute deviations |

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. |

rowMinsMaxs | Row-wise minimum and maximum of a matrix. |

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

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

rowprods | Column and row-wise products |

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

rowRanks | Column and row-wise ranks |

rows | Get specific columns/rows fo a matrix |

rowShuffle | Column and row-wise Shuffle |

rowSort | Sorting of the columns-rows of a matrix |

rowsums | Column and row-wise sums of a matrix |

rowTabulate | Column and row-wise tabulate |

rowTrue | Row-wise true value of a matrix |

rowTrueFalse | Row-wise true value of a matrix |

rowVars | Column and row-wise variances and standard deviations 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 regressions |

score.expregs | Many score based regressions |

score.gammaregs | Many score based regressions |

score.geomregs | Many score based regressions |

score.glms | Many score based regressions |

score.invgaussregs | Many score based regressions |

score.multinomregs | Many score based regressions |

score.negbinregs | Many score based regressions |

score.weibregs | Many score based regressions |

score.ztpregs | Many score based regressions |

sftest | Many Shapiro-Francia normality tests |

sftests | Many Shapiro-Francia normality tests |

skew | Skewness and kurtosis coefficients |

skew.test2 | Hypothesis testing between two skewness or kurtosis coefficients |

Sort | Sort - Integer Sort - Sort a vector coresponding to another |

Sort.int | Sort - Integer Sort - Sort a vector coresponding to another |

sort_cor_vectors | Sort - Integer Sort - Sort a vector coresponding to another |

sort_mat | Sorting of the columns-rows of a matrix |

sort_unique | Sort and unique |

sort_unique.length | Sort and unique |

sourceR | Source many R files |

sourceRd | 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.mle | MLE of some circular distributions |

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 |

Table.sign | Table Creation - Frequency of each value |

Tcrossprod | Matrix multiplication, Cross and Tcross product. |

tmle | MLE of continuous univariate distributions defined on the real line |

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 |

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

transpose | Transpose of a matrix |

Trigamma | Natural logarithm of the gamma function and its derivatives. |

ttest | Many one sample tests |

ttest1 | One sample t-test for a vector |

ttest2 | Multi-sample tests for vectors |

ttests | Many 2 sample tests tests |

ttests.pairs | Matrix with all pairs of t-tests |

twoway.anova | Multi-sample tests for vectors |

twoway.anovas | Many two-way ANOVAs |

ufactor | Fast and general represantation of a factor variable |

univglms | Many univariate generalised linear regressions |

univglms2 | Many univariate generalised linear regressions |

upper_tri | Lower and Upper triangular of a matrix |

upper_tri.assign | Lower and Upper triangular of a matrix |

Var | Variance (and standard deviation) of a vector |

var2test | Multi-sample tests for vectors |

var2tests | Many 2 sample tests tests |

varcomps.mle | Moment and maximum likelihood estimation of variance components |

varcomps.mom | Moment and maximum likelihood estimation of variance components |

vartest | Many one sample tests |

vartests | Many multi-sample tests |

vecdist | Distance matrix |

vm.mle | MLE of some circular distributions |

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

watson | Uniformity tests for circular data |

weib.reg | Weibull regression model |

weibull.mle | MLE of continuous univariate distributions defined on the positive line |

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

wigner.mle | MLE of continuous univariate distributions defined on the real line |

wrapcauchy.mle | MLE of some circular distributions |

XopY.sum | Operations between two matrices or matrix and vector |

yule | Yule's Y (coefficient of colligation) |

zip.mle | MLE of count data |

ztp.mle | MLE of count data |

!=.iterator | Iterator |

==.iterator | Iterator |

[.Hash | Hash object |

[.ufactor | Fast and general represantation of a factor variable |

[<-.Hash | Hash object |