A Collection of Efficient and Extremely Fast R Functions II

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Documentation for package ‘Rfast2’ version 0.1.5.2

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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 --

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) data
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
cbern.mle MLE of distributions defined for proportions
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
colaccs Many binary classification metrics
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
colcenspois.mle Column-wise MLE of some univariate distributions
colcensweibull.mle Column-wise MLE of some univariate distributions
colfbscores Many binary classification metrics
colfmis Many binary classification metrics
colfscores Many binary classification metrics
colGroup Column-wise summary statistics with grouping variables
colhalfcauchy.mle Column-wise MLE of some univariate distributions
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
colmaes any metrics for a continuous response variable
colmeansvars Column-wise means and variances of a matrix
colmses any metrics for a continuous response variable
colordinal.mle Column-wise MLE of some univariate distributions
colpinar1 Conditional least-squares estimate for Poisson INAR(1) models
colpkl any metrics for a continuous response variable
colpowerlaw.mle Column-wise MLE of some univariate distributions
colprecs Many binary classification metrics
colQuantile Sample quantiles and col/row wise quantiles
colQuantile.data.frame Sample quantiles and col/row wise quantiles
colQuantile.matrix Sample quantiles and col/row wise quantiles
colsens Many binary classification metrics
colsp.mle Column-wise MLE of some univariate distributions
colspecs Many binary classification metrics
colspml.mle Column-wise MLE of the angular Gaussian distribution
colTrimMean Trimmed mean
colTrimMean.data.frame Trimmed mean
colTrimMean.matrix Trimmed mean
colukl any metrics for a continuous response variable
colunitweibull.mle Column-wise MLE of some univariate distributions
colwlsmeta Column-wise weighted least squares meta analysis
cor_test Correlation significance testing using Fisher's z-transformation
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
covmtest Hypothesis tests for equality of multiple covariance matrices
covrob.lm Linear model with sandwich robust covariance estimator

-- D --

dcora Distance correlation matrix
den.contours Contour plots of some bivariate distributions
depth.mahala Mahalanobis depth
diffic Item difficulty and discrimination
discrim Item difficulty and discrimination

-- E --

eel.cor.test Empirical and exponential empirical likelihood test for a correlation coefficient
el.cor.test Empirical and exponential empirical likelihood test for a correlation coefficient
embed.circaov Analysis of variance for circular data
empirical.entropy Empirical entropy

-- F --

fbed.reg Forward Backward Early Dropping selection regression
fe.lmfit Fixed effects regression
fedhc.skel The skeleton of a Bayesian network produced by the FEDHC algorithm
fipois.reg Fixed intercepts Poisson regression
fisher.da Fisher's linear discriminant analysis
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
jbtest Many Jarque-Bera normality tests
jbtests Many Jarque-Bera normality tests

-- 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 testing in a linear regression model
lm.nonparboot Parametric and non-parametric bootstrap for linear regression model
lm.parboot Parametric and non-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
mmhc.skel The skeleton of a Bayesian network learned with the MMHC algorithm
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
mv.score.betaregs Many score based regressions with muliple response variables and a single predictor variable
mv.score.expregs Many score based regressions with muliple response variables and a single predictor variable
mv.score.gammaregs Many score based regressions with muliple response variables and a single predictor variable
mv.score.glms Many score based regressions with muliple response variables and a single predictor variable
mv.score.invgaussregs Many score based regressions with muliple response variables and a single predictor variable
mv.score.weibregs Many score based regressions with muliple response variables and a single predictor variable

-- N --

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

-- Q --

Quantile Sample quantiles and col/row wise quantiles

-- R --

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 linear discriminant analysis
riag Angular Gaussian random values simulation
rm.hotel Repeated measures ANOVA (univariate data) using Hotelling's T^2 test
rowjack.means Column and row-wise jackknife sample means
rowQuantile Sample quantiles and col/row wise quantiles
rowTrimMean Trimmed mean
Runif Random values simulation from the uniform distribution

-- S --

Sample Random integer values simulation
Sample.int Random integer values simulation
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.
sp.mle MLE of distributions defined for proportions
spml.nb Naive Bayes classifiers for directional data
spmlnb.pred Prediction with some naive Bayes classifiers for circular data
stud.ttests Many 2 sample student's t-tests

-- 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.
wild.boot Cluster robust wild bootstrap for linear models
wlsmeta Random effects and weighted least squares meta analysis

-- 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