A Collection of Efficient and Extremely Fast R Functions II

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)... |

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 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 |

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... |

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 |

km | Kaplan-Meier estimate of a survival function |

kumar.mle | MLE of distributions defined for proportions |

leverage | Diagonal values of the Hat matrix |

lm.bsreg | backward selection with the F test or the partial correlation... |

lm.drop1 | Single terms deletion hypothesis testing in a linear... |

lm.parboot | Parametric and non-parametric bootstrap for linear regression... |

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 |

negbin.regs | Many negative binomial regressions |

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.ttest2 | Permutation t-test for 2 independent samples |

pinar1 | Conditional least-squares estimate for Poisson INAR(1) models |

pooled.colVars | Column-wise pooled variances across groups |

propjs.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 the uniform distribution |

Sample.int | Random integer values simulation |

sclr | Scaled logistic regression |

score.zipregs | Many score based zero inflated Poisson regressions |

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 |

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