# A Collection of Efficient and Extremely Fast R Functions II

## Documentation for package ‘Rfast2’ version 0.0.5

- DESCRIPTION file.

## Help Pages

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

## -- A --

add.term | Add many single terms to a model

## -- B --

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

## -- C --

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

## -- D --

depth.mahala | Mahalanobis depth
diffic | Item difficulty and discrimination
discrim | Item difficulty and discrimination

## -- E --

embed.circaov | Analysis of variance for circular data
empirical.entropy | Empirical entropy

## -- F --

fbed.reg | Forward Backward Early Dropping selection regression
fipois.reg | Fixed intercepts Poisson regression

## -- G --

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

## -- H --

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

## -- I --

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

## -- J --

jack.mean | Jackknife sample mean

## -- K --

km | Kaplan-Meier estimate of a survival function
kumar.mle | MLE of the Kumaraswamy distribution

## -- L --

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

## -- M --

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

## -- N --

negbin.reg | Negative binomial regression
normlog.nb | Naive Bayes classifiers
normlognb.pred | Prediction with some naive Bayes classifiers

## -- O --

overdispreg.test | Score test for overdispersion in Poisson regression

## -- P --

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

## -- Q --

Quantile | Sample quantiles and col/row wise quantiles

## -- R --

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

## -- S --

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

## -- T --

trim.mean | Trimmed mean
trunccauchy.mle | MLE of some truncated distributions
truncexpmle | MLE of some truncated distributions

## -- V --

vm.nb | Naive Bayes classifiers for directional data
vmnb.pred | Prediction with some naive Bayes classifiers for circular data

## -- W --

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.

## -- Z --

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