Rfast20.1.5.5 package

Add many single terms to a model

Logistic regression for large scale data

Benchmark - Measure time

Naive Bayes classifier for binary Bernoulli data

Prediction with naive Bayes classifier for binary (Bernoulli) data

Bessel functions

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 vecto...

Bootstrap Student's t-test for 2 independent samples

One sample bootstrap permutation t-test for a vector

MLE of the Cauchy and generalised normal distributions with zero locat...

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

Many binary classification metrics

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

any metrics for a continuous response variable

Column-wise MLE of the angular Gaussian distribution

Column-wise weighted least squares meta analysis

Correlation significance testing using Fisher's z-transformation

Covariance between a variable and a set of variables

Distance between two covariance matrices

Hypothesis test for equality of a covariance matrix

Hypothesis tests for equality of multiple covariance matrices

Linear model with sandwich robust covariance estimator

Distance correlation matrix

Contour plots of some bivariate distributions

Mahalanobis depth

Item difficulty and discrimination

Empirical and exponential empirical likelihood test for a correlation ...

Empirical entropy

Energy test of equal univariate distributions

Forward Backward Early Dropping selection regression

Fixed effects regression

The skeleton of a Bayesian network produced by the FEDHC algorithm

Fixed intercepts Poisson regression

Fisher's linear discriminant analysis

Fractional polynomial regression with one independent variable

Frechet mean for compositional data with k-nearest neighbours

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 lin...

Analysis of variance for circular data

Hellinger distance based regression for count data

Heteroscedastic linear models for large scale data

Hurdle-Poisson regression

Intersect Operation

Check if a matrix is Lower or Upper triangular

Check whether a square matrix is skew-symmetric

Jackknife sample mean

Many Jarque-Bera normality tests

Univariate and multivariate kernel density estimation

Kaplan-Meier estimate of a survival function

MLE of distributions defined for proportions

Diagonal values of the Hat matrix

Parametric and non-parametric bootstrap for linear regression model

backward selection with the F test or the partial correlation coeffici...

Single terms deletion hypothesis testing in a 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

Merge 2 sorted vectors in 1 sorted vector

Maximum likelihood linear discriminant analysis

The skeleton of a Bayesian network learned with the MMHC algorithm

Max-Min Parents and Children variable selection algorithm for continuo...

Max-Min Parents and Children variable selection algorithm for non cont...

Moran's I measure of spatial autocorrelation

Multinomial regression

Cross-validation for the multinomial regression

MLE of some circular distributions with multiple samples

Many score based regressions with muliple response variables and a sin...

Cross-validation for the naive Bayes classifiers

Negative binomial regression

Energy based normality test

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 one or two independent samples

Conditional least-squares estimate for Poisson INAR(1) models

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 Purkayastha distribution

Sample quantiles and col/row wise quantiles

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

Random effects and weighted least squares meta analysis

Regularised maximum likelihood linear discriminant analysis

Cross-validation for the regularised maximum likelihood linear discrim...

Really fast R functions

Angular Gaussian random values simulation

Repeated measures ANOVA (univariate data) using Hotelling's $T^2$ test

Random values simulation from various distributions

Random integer values simulation

Scaled logistic regression

Many score based zero inflated Poisson regressions

Silhouette function

Many approximate simple logistic regressions

Many 2 sample student's t-tests

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 (...

Many simple Weibull regressions

Naive Bayes classifiers

Prediction with some naive Bayes classifiers

Many Welch tests

Cluster robust wild bootstrap for linear models

MLE of the zero inflated Gamma and Weibull distributions

Zero inflated Gamma regression

Zero truncated Poisson regression