Rfast-package | Really fast R functions |
allbetas | Simple linear regressions coefficients |
all_equals | Equality of objects |
anovas | Many multi-sample tests |
beta.mle | MLE of the Beta distribution |
binary_search | Binary search algorithm |
check_data | Search for variables with zero range in a matrix |
colhameans | Column and row-wise means of a matrix |
colMads | Column and row-wise mean absolute deviations |
colMaxs | Column-wise minimum and maximum of a matrix |
colmeans | Column and row-wise means of a matrix |
colMedians | Column and row-wise medians |
colMins | Column-wise minimum and maximum of a matrix |
colMinsMaxs | Column-wise minimum and maximum of a matrix |
colrange | Column and row-wise range of values of a matrix. |
colsums | Column and row-wise sums of a matrix |
colVars | Column and row-wise variances and standard deviations of a matrix |
comb_n | All k possible combinations from n elements |
cor.fsreg | Correlation based forward regression. |
cora | Fast covariance and correlation matrix calculation |
correls | Correlation between a vector and a set of variables |
count_value | Count the frequency of a value |
cova | Fast covariance and correlation matrix calculation |
data.frame.to_matrix | Convert a dataframe to matrix |
design_matrix | Design Matrix |
Digamma | Natural logarithm of the gamma function and its derivatives. |
diri.nr2 | Fitting a Dirichlet distribution via Newton-Rapshon |
Dist | Distance matrix |
dista | Distance between vectors and a matrix |
floyd | Floyd-Warshall algorithm for shortest paths in a directed graph |
ftests | Many multi-sample tests |
g2Test | G-square test of conditional indepdence |
g2Test_perm | G-square test of conditional indepdence |
g2Test_univariate | G-square test of indepdence |
g2Test_univariate_perm | G-square test of indepdence |
hash.find | Find the given value in a hash table |
hash.list | Hash - Pair function |
is.symmetric | Check whether a square matrix is symmetric |
is_element | Find element |
Lgamma | Natural logarithm of the gamma function and its derivatives. |
logistic_only | Many univariate simple binary logistic regressions |
mahala | Mahalanobis distance |
Match | Match |
med | Median of a vector |
min_max | Minimum and maximum of a vector |
mvbetas | Many multivariate simple linear regressions coefficients |
negbin.mle | MLE of count data |
nth | The nth smallest value of a vector |
Order | Order |
permutation | Permutation |
permutation.next | Permutation |
permutation.prev | Permutation |
poisson_only | Many univariate simple poisson regressions |
proptests | Many 2 sample proportions tests |
racg | Angular central Gaussian random values simulation |
regression | Many univariate simple linear regressions |
rmvlaplace | Multivariate Laplace random values simulation |
rmvnorm | Multivariate normal and t random values simulation |
rmvt | Multivariate normal and t random values simulation |
rowhameans | Column and row-wise means of a matrix |
rowMaxs | Row-wise minimum and maximum of a matrix. |
rowmeans | Column and row-wise means of a matrix |
rowMedians | Column and row-wise medians |
rowMins | Row-wise minimum and maximum of a matrix. |
rowrange | Column and row-wise range of values of a matrix. |
rowsums | Column and row-wise sums of a matrix |
rowVars | Column and row-wise variances and standard deviations of a matrix |
score.betaregs | Many score based Beta regressions |
score.glms | Many score based GLM regressions |
score.multinomregs | Many score based GLM regressions |
score.negbinregs | Many score based negative binomial regressions |
score.weibregs | Many score based Weibull regressions |
sort_cor_vectors | Sort |
sort_index | Sort |
sort_mat | Sorting of the columns of a matrix |
sort_unique | Sort and unique |
spat.med | Spatial median for Euclidean data |
standardise | Standardisation |
Trigamma | Natural logarithm of the gamma function and its derivatives. |
ttests | Many 2 sample tests t-tests |
univglms | Many univariate generalised linear regressions |
Var | Variance of a vector |
weibull.mle | MLE of the Weibull distribution |
which_isFactor | Index of the columns of a data.frame which are factor variables |
zip.mle | MLE of count data |
ztp.mle | MLE of count data |