A Collection of Efficient and Extremely Fast R Functions II

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Documentation for package ‘Rfast2’ version 0.0.9

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A B C D E F G H I J K L M N O P Q R S T U V W Z

Rfast2-package Really fast R functions

-- A --

add.term Add many single terms to a model

-- B --

benchmark Benchmark - Measure time
beta.nb Naive Bayes classifiers
betanb.pred Prediction with some naive Bayes classifiers
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 data
binom.reg Binomial regression
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
boot.ttest1 One sample bootstrap t-test for a vector

-- C --

cauchy.nb Naive Bayes classifiers
cauchy0.mle MLE of the Cauchy and generalised normal distributions with zero location
cauchynb.pred Prediction with some naive Bayes classifiers
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
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
colbeta.mle Column-wise MLE of some univariate distributions
colborel.mle Column-wise MLE of some univariate distributions
colcauchy.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
colunitweibull.mle Column-wise MLE of some univariate distributions
cor_test Correlation significance testing using Fisher's z-transformation
covar Covariance between a variable and a matrix of variables

-- D --

dcora Distance correlation matrix
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
fp Fractional polynomial regression with one independent variable.

-- 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
gnormal0.mle MLE of the Cauchy and generalised normal distributions with zero location
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
hellinger.countreg Hellinger distance based regression for count data
het.circaov Analysis of variance for circular data
het.lmfit Heteroscedastic linear models for large scale data
hp.reg Hurdle-Poisson regression

-- 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 distributions defined for proportions

-- L --

laplace.nb Naive Bayes classifiers
laplacenb.pred Prediction with some naive Bayes classifiers
leverage Diagonal values of the Hat matrix
lm.bsreg backward selection with the F test or the partial correlation coefficient
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.
logitnorm.nb Naive Bayes classifiers
logitnormnb.pred Prediction with some naive Bayes classifiers
lr.circaov Analysis of variance for circular data
lud Split the matrix in lower,upper triangular and diagonal

-- M --

mci Monte Carlo Integration with a normal distribution
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
multinomreg.cv Cross-validation for the multinomial regression
multispml.mle MLE of some circular distributions with multiple samples
multivm.mle MLE of some circular distributions with multiple samples

-- N --

nb.cv Cross-validation for the naive Bayes classifiers
negbin.reg Negative binomial regression
negbin.regs Many negative binomial regressions
normlog.nb Naive Bayes classifiers
normlognb.pred Prediction with some naive Bayes classifiers

-- O --

omp2 Orthogonal matching variable selection
overdispreg.test Score test for overdispersion in Poisson regression

-- P --

pc.sel Variable selection using the PC-simple algorithm
pca Principal component analysis
pcr Principal components regression
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
prophelling.reg Hellinger distance based univariate regression for proportions
propols.reg Non linear least squares regression for percentages or proportions
purka.mle MLE of the Purkayashta distribution

-- Q --

Quantile Sample quantiles and col/row wise quantiles

-- R --

rbeta1 Random values generation from a Be(a, 1) distribution
refmeta Random effects meta analysis
reg.mle.lda Regularised maximum likelihood linear discriminant analysis
regmlelda.cv Cross-validation for the 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 --

sclr Scaled logistic regression
score.zipregs Many score based zero inflated Poisson regressions
simplex.mle MLE of distributions defined for proportions
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 --

tobit.reg Tobit regression
trim.mean Trimmed mean
trunccauchy.mle MLE of some truncated distributions
truncexpmle MLE of some truncated distributions

-- U --

unitweibull.mle MLE of distributions defined for proportions

-- 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
zigamma.reg Zero inflated Gamma regression
zil.mle MLE of distributions defined for proportions
ziweibull.mle MLE of the zero inflated Gamma and Weibull distributions
ztp.reg Zero truncated Poisson regression