A B C D E F G H I J K L M N O P Q R S T V W Z
| Rfast2-package | Really fast R functions |
| add.term | Add many single terms to a model |
| benchmark | Benchmark - Measure time |
| bic.regs | BIC of many simple univariate regressions. |
| boot.hotel2 | Bootstrap James and Hotelling test for 2 independent sample mean vectors |
| boot.james | Bootstrap James and Hotelling test for 2 independent sample mean vectors |
| boot.student2 | Bootstrap Student's t-test for 2 independent samples |
| cauchy0.mle | MLE of the Cauchy distribution with zero location |
| censpois.mle | MLE of the left censored Poisson distribution |
| censweibull.mle | MLE of the censored Weibull distribution |
| circ.cor1 | Circurlar correlations between two circular variables |
| circ.cors1 | Circurlar correlations between two circular variables |
| cls | Constrained least squares |
| cluster.lm | Linear regression with clustered data |
| col.waldpoisrat | Wald confidence interval for the ratio of two Poisson variables |
| colborel.mle | Column-wise MLE of some univariate distributions |
| colGroup | Column-wise summary statistics with grouping variables |
| colhalfnorm.mle | Column-wise MLE of some univariate distributions |
| coljack.means | Column and row-wise jackknife sample means |
| collogitnorm.mle | Column-wise MLE of some univariate distributions |
| collognorm.mle | Column-wise MLE of some univariate distributions |
| colmeansvars | Column-wise means and variances of a matrix |
| colordinal.mle | Column-wise MLE of some univariate distributions |
| colQuantile | Sample quantiles and col/row wise quantiles |
| colspml.mle | Column-wise MLE of the angular Gaussian distribution |
| colTrimMean | Trimmed mean |
| cor_test | Correlation significance testing using Fisher's z-transformation |
| covar | Covariance between a variable and a matrix of variables |
| depth.mahala | Mahalanobis depth |
| diffic | Item difficulty and discrimination |
| discrim | Item difficulty and discrimination |
| embed.circaov | Analysis of variance for circular data |
| empirical.entropy | Empirical entropy |
| fbed.reg | Forward Backward Early Dropping selection regression |
| fipois.reg | Fixed intercepts Poisson regression |
| 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 positive line |
| hcf.circaov | Analysis of variance for circular data |
| het.circaov | Analysis of variance for circular data |
| 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 |
| is.upper.tri | Check if a matrix is Lower or Upper triangular |
| jack.mean | Jackknife sample mean |
| km | Kaplan-Meier estimate of a survival function |
| kumar.mle | MLE of the Kumaraswamy distribution |
| laplace.nb | Naive Bayes classifiers |
| laplacenb.pred | Prediction with some naive Bayes classifiers |
| leverage | Diagonal values of the Hat matrix |
| lm.drop1 | Single terms deletion hypothesis testin in a linear regression model |
| lm.parboot | Parametric bootstrap for linear regression model |
| logiquant.regs | Many simple quantile regressions using logistic regressions. |
| lr.circaov | Analysis of variance for circular data |
| lud | Split the matrix in lower,upper triangular and diagonal |
| Merge | Merge 2 sorted vectors in 1 sorted vector |
| mle.lda | Maximum likelihood linear discriminant analysis |
| mmpc | Max-Min Parents and Children variable selection algorithm for continuous responses |
| mmpc2 | Max-Min Parents and Children variable selection algorithm for non continuous responses |
| moranI | Moran's I measure of spatial autocorrelation |
| multinom.reg | Multinomial regression |
| multispml.mle | MLE of some circular distributions with multiple samples |
| multivm.mle | MLE of some circular distributions with multiple samples |
| negbin.reg | Negative binomial regression |
| normlog.nb | Naive Bayes classifiers |
| normlognb.pred | Prediction with some naive Bayes classifiers |
| overdispreg.test | Score test for overdispersion in Poisson regression |
| pc.sel | Variable selection using the PC-simple algorithm |
| pca | Principal component analysis |
| perm.ttest2 | Permutation t-test for 2 independent samples |
| pooled.colVars | Column-wise pooled variances across groups |
| powerlaw.mle | MLE of continuous univariate distributions defined on the positive line |
| print.benchmark | Benchmark - Measure time |
| propols.reg | Non linear least squares regression for percentages or proporions |
| purka.mle | MLE of the Purkayashta distribution |
| Quantile | Sample quantiles and col/row wise quantiles |
| refmeta | Random effects meta analysis |
| reg.mle.lda | Regularised maximum likelihood linear discriminant analysis |
| riag | Angular Gaussian random values simulation |
| rowjack.means | Column and row-wise jackknife sample means |
| rowQuantile | Sample quantiles and col/row wise quantiles |
| rowTrimMean | Trimmed mean |
| score.zipregs | Many score based zero inflated Poisson regressions |
| simplex.mle | MLE of the Kumaraswamy distribution |
| sp.logiregs | Many approximate simple logistic regressions. |
| spml.nb | Naive Bayes classifiers for directional data |
| spmlnb.pred | Prediction with some naive Bayes classifiers for circular data |
| trim.mean | Trimmed mean |
| trunccauchy.mle | MLE of some truncated distributions |
| truncexpmle | MLE of some truncated distributions |
| vm.nb | Naive Bayes classifiers for directional data |
| vmnb.pred | Prediction with some naive Bayes classifiers for circular data |
| wald.poisrat | Wald confidence interval for the ratio of two Poisson variables |
| walter.ci | Walter's confidence interval for the ratio of two binomial variables (and the relative risk) |
| weib.regs | Many simple Weibull regressions. |
| weibull.nb | Naive Bayes classifiers |
| weibullnb.pred | Prediction with some naive Bayes classifiers |
| welch.tests | Many Welch tests. |
| zigamma.mle | MLE of the zero inflated Gamma and Weibull distributions |
| zil.mle | MLE of the Kumaraswamy distribution |
| ziweibull.mle | MLE of the zero inflated Gamma and Weibull distributions |
| ztp.reg | Zero truncated Poisson regression |