cat.goftests |
Many one sample goodness of fit tests for categorical data |
cauchy.mle |
MLE of continuous univariate distributions defined on the real line |
checkAliases |
Check Namespace and Rd files |
checkExamples |
Check Namespace and Rd files |
checkNamespace |
Check Namespace and Rd files |
checkTF |
Check Namespace and Rd files |
checkUsage |
Check Namespace and Rd files |
check_data |
Search for variables with zero range in a matrix |
chi2Test |
G-square test of conditional indepdence |
chi2tests |
Many G-square tests of indepedence |
chi2Test_univariate |
Matrix with G-square tests of indepdence |
chisq.mle |
MLE of continuous univariate distributions defined on the positive line |
cholesky |
Cholesky decomposition of a square matrix |
Choose |
Binomial coefficient and its logarithm |
circlin.cor |
Circular-linear correlation |
coeff |
Coefficient matrices. |
col.coxpoisrat |
Cox confidence interval for the ratio of two Poisson variables |
col.yule |
Column-wise Yule's Y (coefficient of colligation) |
colAll |
Column and row-wise Any |
colanovas |
Many Welch's F-tests |
colAny |
Column and row-wise Any |
colar1 |
Estimation of an AR(1) model |
colaucs |
Many area under the curve values |
colCountValues |
Row - Wise matrix/vector count the frequency of a value |
colCumMaxs |
Colum-wise cumulative operations (sum, prod, min, max) |
colCumMins |
Colum-wise cumulative operations (sum, prod, min, max) |
colCumProds |
Colum-wise cumulative operations (sum, prod, min, max) |
colCumSums |
Colum-wise cumulative operations (sum, prod, min, max) |
colcvs |
Column and row wise coefficients of variation |
coldiffs |
Column-wise differences |
colexp2.mle |
Column-wise MLE of some univariate distributions |
colexpmle |
Column-wise MLE of some univariate distributions |
colFalse |
Column-wise true/false value of a matrix |
colgammamle |
Column-wise MLE of some univariate distributions |
colgeom.mle |
MLE for multivariate discrete data |
colhameans |
Column and row-wise means of a matrix |
colinvgauss.mle |
Column-wise MLE of some univariate distributions |
colkurtosis |
Column-wise kurtosis and skewness coefficients |
collaplace.mle |
Column-wise MLE of some univariate distributions |
collindley.mle |
Column-wise MLE of some univariate distributions |
colMads |
Column and row-wise mean absolute deviations |
colmaxboltz.mle |
Column-wise MLE of some univariate distributions |
colMaxs |
Column-wise minimum and maximum of a matrix |
colmeans |
Column and row-wise means of a matrix |
colmeans.data.frame |
Column and row-wise means of a matrix |
colmeans.matrix |
Column and row-wise means of a matrix |
colMedians |
Column and row-wise medians of a matrix or median of a vector. |
colMins |
Column-wise minimum and maximum of a matrix |
colMinsMaxs |
Column-wise minimum and maximum of a matrix |
colnormal.mle |
Column-wise MLE of some univariate distributions |
colnormlog.mle |
Column-wise MLE of some univariate distributions |
colnth |
Column and row-wise nth smallest value of a matrix/vector |
colOrder |
Column and row-wise Order - Sort Indices |
colpareto.mle |
Column-wise MLE of some univariate distributions |
colPmax |
Minima and maxima of two vectors/matrices and Column-row wise minima and maxima of two matrices |
colPmin |
Minima and maxima of two vectors/matrices and Column-row wise minima and maxima of two matrices |
colpois.tests |
Many tests for the dispersion parameter in Poisson distribution |
colpoisdisp.tests |
Many tests for the dispersion parameter in Poisson distribution |
colpoisson.anovas |
Many ANOVAS for count data with Poisson or quasi Poisson models |
colpoisson.mle |
MLE for multivariate discrete data |
colprods |
Column and row-wise products |
colquasipoisson.anovas |
Many ANOVAS for count data with Poisson or quasi Poisson models |
colrange |
Column and row-wise range of values of a matrix. |
colRanks |
Column and row-wise ranks |
colrayleigh.mle |
Column-wise MLE of some univariate distributions |
colrint.regbx |
Many random intercepts LMMs for balanced data with a single identical covariate |
colrow.value |
Check if any column or row is fill with values |
colShuffle |
Column and row-wise Shuffle |
colskewness |
Column-wise kurtosis and skewness coefficients |
colSort |
Sorting of the columns-rows of a matrix |
colsums |
Column and row-wise sums of a matrix |
colTabulate |
Column and row-wise tabulate |
colTrue |
Column-wise true/false value of a matrix |
colTrueFalse |
Column-wise true/false value of a matrix |
columns |
Get specific columns/rows fo a matrix |
colvarcomps.mle |
Many moment and maximum likelihood estimations of variance components |
colvarcomps.mom |
Many moment and maximum likelihood estimations of variance components |
colVars |
Column and row-wise variances and standard deviations of a matrix |
colVars.data.frame |
Column and row-wise variances and standard deviations of a matrix |
colVars.matrix |
Column and row-wise variances and standard deviations of a matrix |
colvm.mle |
Column-wise MLE of some univariate distributions |
colwatsons |
Column-wise uniformity tests for circular data |
colweibull.mle |
Column-wise MLE of some univariate distributions |
comb_n |
All k possible combinations from n elements |
cor.fbed |
FBED variable selection method using the correlation |
cor.fsreg |
Correlation based forward regression. |
cora |
Fast covariance and correlation matrix calculation |
corpairs |
Correlation between pairs of variables |
correls |
Correlation between a vector and a set of variables |
count_value |
Row - Wise matrix/vector count the frequency of a value |
cova |
Fast covariance and correlation matrix calculation |
cox.poisrat |
Cox confidence interval for the ratio of two Poisson variables |
cqtest |
Multi-sample tests for vectors |
cqtests |
Many multi-sample tests |
Crossprod |
Matrix multiplication, Cross and Tcross product. |
ct.mle |
MLE of continuous univariate distributions defined on the real line |
g2Test |
G-square test of conditional indepdence |
g2tests |
Many G-square tests of indepedence |
g2tests_perm |
Many G-square tests of indepedence |
g2Test_perm |
G-square test of conditional indepdence |
g2Test_univariate |
Matrix with G-square tests of indepdence |
g2Test_univariate_perm |
Matrix with G-square tests of indepdence |
gammacon |
Gamma regression with a log-link |
gammamle |
MLE of continuous univariate distributions defined on the positive line |
gammanb |
Naive Bayes classifiers |
gammanb.pred |
Prediction with some naive Bayes classifiers |
gammareg |
Gamma regression with a log-link |
gammaregs |
Many simple regressions for positive valued data |
gaussian.nb |
Naive Bayes classifiers |
gaussiannb.pred |
Prediction with some naive Bayes classifiers |
gchi2Test |
Chi-square and G-square tests of (unconditional) indepdence |
geom.anova |
Analysis of variance with a count variable |
geom.anovas |
Many analysis of variance tests with a discrete variable |
geom.mle |
MLE of count data |
geom.nb |
Naive Bayes classifiers |
geom.regs |
Many simple geometric regressions. |
geomnb.pred |
Prediction with some naive Bayes classifiers |
ginis |
Many Gini coefficients |
glm_logistic |
Logistic and Poisson regression models |
glm_poisson |
Logistic and Poisson regression models |
group |
Some summary statistics of a vector for each level of a grouping variable. |
group.sum |
Some summary statistics of a vector for each level of a grouping variable. |
groupcorrels |
Correlation between a vector and a set of variables |
gumbel.mle |
MLE of continuous univariate distributions defined on the real line |
laplace.mle |
MLE of continuous univariate distributions defined on the real line |
Lbeta |
Natural logarithm of the beta function |
Lchoose |
Binomial coefficient and its logarithm |
length.Hash |
Hash object |
Lgamma |
Natural logarithm of the gamma function and its derivatives. |
lindley.mle |
MLE of continuous univariate distributions defined on the positive line |
list.ftests |
Many F-tests with really huge matrices |
lmfit |
Linear models for large scale data |
Log |
Natural Logarithm each element of a matrix |
logcauchy.mle |
MLE of continuous univariate distributions defined on the positive line |
logistic.cat1 |
Logistic or Poisson regression with a single categorical predictor |
logistic.mle |
MLE of continuous univariate distributions defined on the real line |
logistic_only |
Many univariate simple binary logistic regressions |
logitnorm.mle |
MLE of distributions defined in the (0, 1) interval |
loglogistic.mle |
MLE of continuous univariate distributions defined on the positive line |
lognorm.mle |
MLE of continuous univariate distributions defined on the positive line |
logseries.mle |
MLE of count data |
lomax.mle |
MLE of continuous univariate distributions defined on the positive line |
lower_tri |
Lower and Upper triangular of a matrix |
lower_tri.assign |
Lower and Upper triangular of a matrix |
Mad |
Column and row-wise mean absolute deviations |
mahala |
Mahalanobis distance |
mat.mat |
Number of equal columns between two matrices |
mat.mult |
Matrix multiplication, Cross and Tcross product. |
Match |
Match |
match.coefs |
Column-wise matching coefficients |
matrnorm |
Generates random values from a normal and puts them in a matrix |
maxboltz.mle |
MLE of continuous univariate distributions defined on the positive line |
mcnemar |
Multi-sample tests for vectors |
mcnemars |
Many 2 sample tests tests |
med |
Column and row-wise medians of a matrix or median of a vector. |
Median |
Column and row-wise medians of a matrix or median of a vector. |
mediandir |
Fast calculation of the spherical and hyperspherical median |
min_max |
Minimum and maximum of a vector |
multinom.mle |
MLE for multivariate discrete data |
multinom.nb |
Naive Bayes classifiers |
multinom.reg |
Multinomial regression |
multinom.regs |
Many simple multinomial regressions. |
multinomnb.pred |
Prediction with some naive Bayes classifiers |
multivmf.mle |
MLE of (hyper-)spherical distributions |
mv.eeltest1 |
Exponential empirical likelihood for a one sample mean vector hypothesis testing |
mv.eeltest2 |
Exponential empirical likelihood hypothesis testing for two mean vectors |
mvbetas |
Many multivariate simple linear regressions coefficients |
mvkurtosis |
Multivariate kurtosis |
mvlnorm.mle |
MLE of the multivariate (log-) normal distribution |
mvnorm.mle |
MLE of the multivariate (log-) normal distribution |
mvt.mle |
MLE of the multivariate t distribution |
pareto.mle |
MLE of continuous univariate distributions defined on the positive line |
pc.skel |
The skeleton of a Bayesian network produced by the PC algorithm |
percent.ttest |
Hypothesis test for two means of percentages |
percent.ttests |
Many hypothesis tests for two means of percentages |
permcor |
Permutation based p-value for the Pearson correlation coefficient |
permutation |
Permutation |
permutation.next |
Permutation |
permutation.prev |
Permutation |
Pmax |
Minima and maxima of two vectors/matrices and Column-row wise minima and maxima of two matrices |
Pmin |
Minima and maxima of two vectors/matrices and Column-row wise minima and maxima of two matrices |
Pmin_Pmax |
Minima and maxima of two vectors/matrices and Column-row wise minima and maxima of two matrices |
pois.test |
Tests for the dispersion parameter in Poisson distribution |
poisdisp.test |
Tests for the dispersion parameter in Poisson distribution |
poisson.anova |
Analysis of variance with a count variable |
poisson.anovas |
Many analysis of variance tests with a discrete variable |
poisson.cat1 |
Logistic or Poisson regression with a single categorical predictor |
poisson.mle |
MLE of count data |
poisson.nb |
Naive Bayes classifiers |
poissonnb.pred |
Prediction with some naive Bayes classifiers |
poisson_only |
Many univariate simple binary logistic regressions |
poly.cor |
Polyserial correlation |
pooled.cov |
Pooled covariance matrix |
positive |
Apply method to Positive and Negative number |
positive.negative |
Apply method to Positive and Negative number |
print.Hash |
Hash object |
print.iterator |
Iterator |
print.ufactor |
Fast and general represantation of a factor variable |
prop.reg |
Quasi binomial regression for proportions |
prop.regs |
Quasi binomial regression for proportions |
proptest |
Many one sample tests |
proptests |
Many 2 sample proportions tests |
racg |
Angular central Gaussian random values simulation |
Rank |
Column and row-wise ranks |
rayleigh.mle |
MLE of continuous univariate distributions defined on the positive line |
rbing |
Simulating from a Bingham distribution |
rbingham |
Simulation of random values from a Bingham distribution with any symmetric matrix |
read.directory |
Reading the files of a directory |
read.examples |
Reading the files of a directory |
regression |
Many univariate simple linear regressions |
rel.risk |
Odds ratio and relative risk |
RemoveFromNamespace |
Insert/remove function names in/from the NAMESPACE file |
rep_col |
Replicate columns/rows |
rep_row |
Replicate columns/rows |
rint.mle |
Moment and maximum likelihood estimation of variance components |
rint.reg |
Random intercepts linear mixed models |
rint.regbx |
Random intercepts linear mixed models |
rint.regs |
Many simple linear mixed model regressions |
rm.anova |
Repeated measures anova |
rm.anovas |
Many regression based tests for single sample repeated measures |
rm.lines |
Many regression based tests for single sample repeated measures |
rmdp |
High dimensional MCD based detection of outliers |
rmvlaplace |
Multivariate Laplace random values simulation |
rmvnorm |
Multivariate normal and t random values simulation |
rmvt |
Multivariate normal and t random values simulation |
Rnorm |
Simulation of random values from a normal distribution |
Round |
Round each element of a matrix/vector |
rowAll |
Column and row-wise Any |
rowAny |
Column and row-wise Any |
rowCountValues |
Row - Wise matrix/vector count the frequency of a value |
rowcvs |
Column and row wise coefficients of variation |
rowFalse |
Row-wise true value of a matrix |
rowhameans |
Column and row-wise means of a matrix |
rowMads |
Column and row-wise mean absolute deviations |
rowMaxs |
Row-wise minimum and maximum of a matrix. |
rowmeans |
Column and row-wise means of a matrix |
rowMedians |
Column and row-wise medians of a matrix or median of a vector. |
rowMins |
Row-wise minimum and maximum of a matrix. |
rowMinsMaxs |
Row-wise minimum and maximum of a matrix. |
rownth |
Column and row-wise nth smallest value of a matrix/vector |
rowOrder |
Column and row-wise Order - Sort Indices |
rowprods |
Column and row-wise products |
rowrange |
Column and row-wise range of values of a matrix. |
rowRanks |
Column and row-wise ranks |
rows |
Get specific columns/rows fo a matrix |
rowShuffle |
Column and row-wise Shuffle |
rowSort |
Sorting of the columns-rows of a matrix |
rowsums |
Column and row-wise sums of a matrix |
rowTabulate |
Column and row-wise tabulate |
rowTrue |
Row-wise true value of a matrix |
rowTrueFalse |
Row-wise true value of a matrix |
rowVars |
Column and row-wise variances and standard deviations of a matrix |
rvmf |
Random values simulation from a von Mises-Fisher distribution |
rvonmises |
Random values simulation from a von Mises distribution |