Rfast2

Intersect Operation

Merge 2 sorted vectors in 1 sorted vector

Sample quantiles and col/row wise quantiles

Really fast R functions

Add many single terms to a model

Benchmark - Measure time

BIC of many simple univariate regressions.

The k-NN algorithm for really lage scale data

Cross-validation for the k-NN algorithm for really lage scale data

Binomial regression

Bootstrap James and Hotelling test for 2 independent sample mean vectors

Bootstrap Student's t-test for 2 independent samples

One sample bootstrap t-test for a vector

MLE of the Cauchy and generalised normal distributions with zero location

MLE of the left censored Poisson distribution

Censored Weibull regression model

MLE of the censored Weibull distribution

Circurlar correlations between two circular variables

Constrained least squares

Linear regression with clustered data

Column-wise summary statistics with grouping variables

Column and row-wise jackknife sample means

Column-wise MLE of some univariate distributions

Column-wise means and variances of a matrix

Column-wise MLE of the angular Gaussian distribution

Correlation significance testing using Fisher's z-transformation

Covariance between a variable and a matrix of variables

Distance correlation matrix

Mahalanobis depth

Item difficulty and discrimination

Empirical entropy

Forward Backward Early Dropping selection regression

Fixed intercepts Poisson regression

Fractional polynomial regression with one independent variable.

MLE of the gamma-Poisson distribution

Gamma regression with a log-link

Many Gamma regressions

GEE Gaussian regression

Gumbel regression

MLE of continuous univariate distributions defined on the positive line

Analysis of variance for circular data

Hellinger distance based regression for count data

Heteroscedastic linear models for large scale data

Hurdle-Poisson regression

Check if a matrix is Lower or Upper triangular

Check whether a square matrix is skew-symmetric

Jackknife sample mean

Kaplan-Meier estimate of a survival function

MLE of distributions defined for proportions

Diagonal values of the Hat matrix

backward selection with the F test or the partial correlation coefficient

Single terms deletion hypothesis testin in a linear regression model

Parametric bootstrap for linear regression model

Many simple quantile regressions using logistic regressions.

Split the matrix in lower,upper triangular and diagonal

Monte Carlo Integration with a normal distribution

Maximum likelihood linear discriminant analysis

Max-Min Parents and Children variable selection algorithm for continuous responses

Max-Min Parents and Children variable selection algorithm for non continuous responses

Moran's I measure of spatial autocorrelation

Multinomial regression

Cross-validation for the multinomial regression

MLE of some circular distributions with multiple samples

Cross-validation for the naive Bayes classifiers

Negative binomial regression

Many negative binomial regressions

Orthogonal matching variable selection

Score test for overdispersion in Poisson regression

Variable selection using the PC-simple algorithm

Principal component analysis

Principal components regression

Permutation t-test for 2 independent samples

Column-wise pooled variances across groups

Hellinger distance based univariate regression for proportions

Non linear least squares regression for percentages or proportions

MLE of the Purkayashta distribution

Random values generation from a Be(a, 1) distribution

Random effects meta analysis

Regularised maximum likelihood linear discriminant analysis

Cross-validation for the regularised maximum likelihood linear discriminant analysis

Angular Gaussian random values simulation

Scaled logistic regression

Many score based zero inflated Poisson regressions

Many approximate simple logistic regressions.

Tobit regression

Trimmed mean

MLE of some truncated distributions

Naive Bayes classifiers for directional data

Prediction with some naive Bayes classifiers for circular data

Wald confidence interval for the ratio of two Poisson variables

Walter's confidence interval for the ratio of two binomial variables (and the relative risk)

Many simple Weibull regressions.

Naive Bayes classifiers

Prediction with some naive Bayes classifiers

Many Welch tests.

MLE of the zero inflated Gamma and Weibull distributions

Zero inflated Gamma regression

Zero truncated Poisson regression