| add.term | Add many single terms to a model |
| batch.logistic | Logistic regression for large scale data |
| benchmark | Benchmark - Measure time |
| bernoulli.nb | Naive Bayes classifier for binary Bernoulli data |
| bernoullinb.pred | Prediction with naive Bayes classifier for binary (Bernoulli)... |
| bessel | Bessel functions |
| bic.regs | BIC of many simple univariate regressions |
| big.knn | The k-NN algorithm for really lage scale data |
| bigknn.cv | Cross-validation for the k-NN algorithm for really lage scale... |
| binom.reg | Binomial regression |
| boot.james | Bootstrap James and Hotelling test for 2 independent sample... |
| boot.student2 | Bootstrap Student's t-test for 2 independent samples |
| boot.ttest1 | One sample bootstrap permutation t-test for a vector |
| cauchy0.mle | MLE of the Cauchy and generalised normal distributions with... |
| censpois.mle | MLE of the left censored Poisson distribution |
| censweib.reg | Censored Weibull regression model |
| censweibull.mle | MLE of the censored Weibull distribution |
| circ.cor1 | Circurlar correlations between two circular variables |
| cls | Constrained least squares |
| cluster.lm | Linear regression with clustered data |
| colaccs | Many binary classification metrics |
| colGroup | Column-wise summary statistics with grouping variables |
| coljack.means | Column and row-wise jackknife sample means |
| collognorm.mle | Column-wise MLE of some univariate distributions |
| colmeansvars | Column-wise means and variances of a matrix |
| colmses | any metrics for a continuous response variable |
| colspml.mle | Column-wise MLE of the angular Gaussian distribution |
| colwslmeta | Column-wise weighted least squares meta analysis |
| cor_test | Correlation significance testing using Fisher's... |
| covar | Covariance between a variable and a set of variables |
| covdist | Distance between two covariance matrices |
| covequal | Hypothesis test for equality of a covariance matrix |
| covlikel | Hypothesis tests for equality of multiple covariance matrices |
| covrob.lm | Linear model with sandwich robust covariance estimator |
| dcora | Distance correlation matrix |
| den.contours | Contour plots of some bivariate distributions |
| depth.mahala | Mahalanobis depth |
| diffic | Item difficulty and discrimination |
| el.cor.test | Empirical and exponential empirical likelihood test for a... |
| empirical.entropy | Empirical entropy |
| eqdist.etest | Energy test of equal univariate distributions |
| fbed.reg | Forward Backward Early Dropping selection regression |
| fedhc.skel | The skeleton of a Bayesian network produced by the FEDHC... |
| fe.lmfit | Fixed effects regression |
| fipois.reg | Fixed intercepts Poisson regression |
| fisher.da | Fisher's linear discriminant analysis |
| fp | Fractional polynomial regression with one independent... |
| frechet.nn | Frechet mean for compositional data with k-nearest neighbours |
| gammapois.mle | MLE of the gamma-Poisson distribution |
| gammareg | Gamma regression with a log-link |
| gammaregs | Many Gamma regressions |
| gee.reg | GEE Gaussian regression |
| gumbel.reg | Gumbel regression |
| halfcauchy.mle | MLE of continuous univariate distributions defined on the... |
| hcf.circaov | Analysis of variance for circular data |
| hellinger.countreg | Hellinger distance based regression for count data |
| het.lmfit | Heteroscedastic linear models for large scale data |
| hp.reg | Hurdle-Poisson regression |
| Intersect | Intersect Operation |
| is.lower.tri | Check if a matrix is Lower or Upper triangular |
| is.skew.symmetric | Check whether a square matrix is skew-symmetric |
| jack.mean | Jackknife sample mean |
| jbtests | Many Jarque-Bera normality tests |
| kernel | Univariate and multivariate kernel density estimation |
| km | Kaplan-Meier estimate of a survival function |
| kumar.mle | MLE of distributions defined for proportions |
| leverage | Diagonal values of the Hat matrix |
| lm.boot | Parametric and non-parametric bootstrap for linear regression... |
| lm.bsreg | backward selection with the F test or the partial correlation... |
| lm.drop1 | Single terms deletion hypothesis testing in a linear... |
| logiquant.regs | Many simple quantile regressions using logistic regressions |
| lud | Split the matrix in lower, upper triangular and diagonal |
| mci | Monte Carlo Integration with a normal distribution |
| Merge | Merge 2 sorted vectors in 1 sorted vector |
| mle.lda | Maximum likelihood linear discriminant analysis |
| mmhc.skel | The skeleton of a Bayesian network learned with the MMHC... |
| mmpc | Max-Min Parents and Children variable selection algorithm for... |
| mmpc2 | Max-Min Parents and Children variable selection algorithm for... |
| moranI | Moran's I measure of spatial autocorrelation |
| multinom.reg | Multinomial regression |
| multinomreg.cv | Cross-validation for the multinomial regression |
| multivm.mle | MLE of some circular distributions with multiple samples |
| mv.score.glms | Many score based regressions with muliple response variables... |
| nb.cv | Cross-validation for the naive Bayes classifiers |
| negbin.reg | Negative binomial regression |
| normal.etest | Energy based normality test |
| omp2 | Orthogonal matching variable selection |
| overdispreg.test | Score test for overdispersion in Poisson regression |
| pca | Principal component analysis |
| pcr | Principal components regression |
| pc.sel | Variable selection using the PC-simple algorithm |
| perm.ttest | Permutation t-test for one or two independent samples |
| pinar1 | Conditional least-squares estimate for Poisson INAR(1) models |
| pooled.colVars | Column-wise pooled variances across groups |
| prophelling.reg | Hellinger distance based univariate regression for... |
| propols.reg | Non linear least squares regression for percentages or... |
| purka.mle | MLE of the Purkayastha distribution |
| Quantile | Sample quantiles and col/row wise quantiles |
| rbeta1 | Random values generation from a Be(a, 1) distribution |
| refmeta | Random effects and weighted least squares meta analysis |
| reg.mle.lda | Regularised maximum likelihood linear discriminant analysis |
| regmlelda.cv | Cross-validation for the regularised maximum likelihood... |
| Rfast2-package | Really fast R functions |
| riag | Angular Gaussian random values simulation |
| rm.hotel | Repeated measures ANOVA (univariate data) using Hotelling's... |
| Runif | Random values simulation from various distributions |
| Sample.int | Random integer values simulation |
| sclr | Scaled logistic regression |
| score.zipregs | Many score based zero inflated Poisson regressions |
| silhouette | Silhouette function |
| sp.logiregs | Many approximate simple logistic regressions |
| stud.ttests | Many 2 sample student's t-tests |
| tobit.reg | Tobit regression |
| trim.mean | Trimmed mean |
| trunccauchy.mle | MLE of some truncated distributions |
| vm.nb | Naive Bayes classifiers for directional data |
| vmnb.pred | Prediction with some naive Bayes classifiers for circular... |
| wald.poisrat | Wald confidence interval for the ratio of two Poisson... |
| walter.ci | Walter's confidence interval for the ratio of two binomial... |
| weib.regs | Many simple Weibull regressions |
| weibull.nb | Naive Bayes classifiers |
| weibullnb.pred | Prediction with some naive Bayes classifiers |
| welch.tests | Many Welch tests |
| wild.boot | Cluster robust wild bootstrap for linear models |
| zigamma.mle | MLE of the zero inflated Gamma and Weibull distributions |
| zigamma.reg | Zero inflated Gamma regression |
| ztp.reg | Zero truncated Poisson regression |
