Matrix - Sparse and Dense Matrix Classes and Methods
A rich hierarchy of sparse and dense matrix classes, including general, symmetric, triangular, and diagonal matrices with numeric, logical, or pattern entries. Efficient methods for operating on such matrices, often wrapping the 'BLAS', 'LAPACK', and 'SuiteSparse' libraries.
Last updated 22 days ago
openblas
17.16 score 1 stars 11k dependents 32k scripts 103k downloadsrobustbase - Basic Robust Statistics
"Essential" Robust Statistics. Tools allowing to analyze data with robust methods. This includes regression methodology including model selections and multivariate statistics where we strive to cover the book "Robust Statistics, Theory and Methods" by 'Maronna, Martin and Yohai'; Wiley 2006.
Last updated 1 months ago
fortranopenblas
13.34 score 476 dependents 1.6k scripts 79k downloadsbitops - Bitwise Operations
Functions for bitwise operations on integer vectors.
Last updated 3 months ago
12.38 score 6 stars 1.8k dependents 744 scripts 340k downloadsexpm - Matrix Exponential, Log, 'etc'
Computation of the matrix exponential, logarithm, sqrt, and related quantities, using traditional and modern methods.
Last updated 2 months ago
fortranopenblas
12.16 score 429 dependents 1.3k scripts 89k downloadscluster - "Finding Groups in Data": Cluster Analysis Extended Rousseeuw et al.
Methods for Cluster analysis. Much extended the original from Peter Rousseeuw, Anja Struyf and Mia Hubert, based on Kaufman and Rousseeuw (1990) "Finding Groups in Data".
Last updated 15 days ago
11.62 score 3 stars 2.1k dependents 13k scripts 84k downloadsRmpfr - Interface R to MPFR - Multiple Precision Floating-Point Reliable
Arithmetic (via S4 classes and methods) for arbitrary precision floating point numbers, including transcendental ("special") functions. To this end, the package interfaces to the 'LGPL' licensed 'MPFR' (Multiple Precision Floating-Point Reliable) Library which itself is based on the 'GMP' (GNU Multiple Precision) Library.
Last updated 1 months ago
mpfr4gmp
11.55 score 142 dependents 316 scripts 49k downloadsdiptest - Hartigan's Dip Test Statistic for Unimodality - Corrected
Compute Hartigan's dip test statistic for unimodality / multimodality and provide a test with simulation based p-values, where the original public code has been corrected.
Last updated 5 months ago
11.48 score 10 stars 96 dependents 268 scripts 20k downloadssfsmisc - Utilities from 'Seminar fuer Statistik' ETH Zurich
Useful utilities ['goodies'] from Seminar fuer Statistik ETH Zurich, some of which were ported from S-plus in the 1990s. For graphics, have pretty (Log-scale) axes eaxis(), an enhanced Tukey-Anscombe plot, combining histogram and boxplot, 2d-residual plots, a 'tachoPlot()', pretty arrows, etc. For robustness, have a robust F test and robust range(). For system support, notably on Linux, provides 'Sys.*()' functions with more access to system and CPU information. Finally, miscellaneous utilities such as simple efficient prime numbers, integer codes, Duplicated(), toLatex.numeric() and is.whole().
Last updated 2 months ago
10.93 score 11 stars 119 dependents 508 scripts 14k downloadsfracdiff - Fractionally Differenced ARIMA aka ARFIMA(P,d,q) Models
Maximum likelihood estimation of the parameters of a fractionally differenced ARIMA(p,d,q) model (Haslett and Raftery, Appl.Statistics, 1989); including inference and basic methods. Some alternative algorithms to estimate "H".
Last updated 10 months ago
openblas
10.02 score 17 stars 251 dependents 326 scripts 125k downloadsstabledist - Stable Distribution Functions
Density, Probability and Quantile functions, and random number generation for (skew) stable distributions, using the parametrizations of Nolan.
Last updated 13 days ago
9.75 score 1 stars 222 dependents 82 scripts 34k downloadsBessel - Computations and Approximations for Bessel Functions
Computations for Bessel function for complex, real and partly 'mpfr' (arbitrary precision) numbers; notably interfacing TOMS 644; approximations for large arguments, experiments, etc.
Last updated 2 months ago
7.91 score 15 dependents 80 scripts 12k downloadscobs - Constrained B-Splines (Sparse Matrix Based)
Qualitatively Constrained (Regression) Smoothing Splines via Linear Programming and Sparse Matrices.
Last updated 9 days ago
7.40 score 19 dependents 128 scripts 3.4k downloadsnor1mix - Normal aka Gaussian 1-d Mixture Models
Onedimensional Normal (i.e. Gaussian) Mixture Models (S3) Classes, for, e.g., density estimation or clustering algorithms research and teaching; providing the widely used Marron-Wand densities. Efficient random number generation and graphics. Fitting to data by efficient ML (Maximum Likelihood) or traditional EM estimation.
Last updated 9 days ago
7.33 score 52 dependents 80 scripts 4.3k downloadslokern - Kernel Regression Smoothing with Local or Global Plug-in Bandwidth
Kernel regression smoothing with adaptive local or global plug-in bandwidth selection.
Last updated 9 days ago
fortran
5.72 score 5 dependents 63 scripts 1.4k downloadslpridge - Local Polynomial (Ridge) Regression
Local Polynomial Regression with Ridging.
Last updated 9 days ago
fortran
5.26 score 2 dependents 8 scripts 339 downloadslongmemo - Statistics for Long-Memory Processes (Book Jan Beran), and Related Functionality
Datasets and Functionality from 'Jan Beran' (1994). Statistics for Long-Memory Processes; Chapman & Hall. Estimation of Hurst (and more) parameters for fractional Gaussian noise, 'fARIMA' and 'FEXP' models.
Last updated 5 months ago
4.98 score 2 stars 4 dependents 47 scripts 1.7k downloadsround - Rounding to Decimal Digits
Decimal rounding is non-trivial in binary arithmetic. ISO standard round to even is more rare than typically assumed as most decimal fractions are not exactly representable in binary. Our 'roundX()' versions explore differences between current and potential future versions of round() in R. Further, provides (some partly related) C99 math lib functions not in base R.
Last updated 12 months ago
4.64 score 8 scripts 1.1k downloadssupclust - Supervised Clustering of Predictor Variables Such as Genes
Methodology for supervised grouping aka "clustering" of potentially many predictor variables, such as genes etc, implementing algorithms 'PELORA' and 'WILMA'.
Last updated 4 months ago
openblas
4.15 score 2 stars 28 scripts 212 downloadsplugdensity - Plug-in Kernel Density Estimation
Kernel density estimation with global bandwidth selection via "plug-in".
Last updated 9 days ago
3.30 score 3 scripts 419 downloadsDPQmpfr - DPQ (Density, Probability, Quantile) Distribution Computations using MPFR
An extension to the 'DPQ' package with computations for 'DPQ' (Density (pdf), Probability (cdf) and Quantile) functions, where the functions here partly use the 'Rmpfr' package and hence the underlying 'MPFR' and 'GMP' C libraries.
Last updated 2 months ago
3.28 score 1 scripts 522 downloadsCLA - Critical Line Algorithm in Pure R
Implements 'Markowitz' Critical Line Algorithm ('CLA') for classical mean-variance portfolio optimization, see Markowitz (1952) <doi:10.2307/2975974>. Care has been taken for correctness in light of previous buggy implementations.
Last updated 5 months ago
2.70 score 8 scripts 301 downloadsrobustX - 'eXtra' / 'eXperimental' Functionality for Robust Statistics
Robustness -- 'eXperimental', 'eXtraneous', or 'eXtraordinary' Functionality for Robust Statistics. Hence methods which are not well established, often related to methods in package 'robustbase'. Amazingly, 'BACON()', originally by Billor, Hadi, and Velleman (2000) <doi:10.1016/S0167-9473(99)00101-2> has become established in places. The "barrow wheel" `rbwheel()` is from Stahel and Mächler (2009) <doi:10.1111/j.1467-9868.2009.00706.x>.
Last updated 2 years ago
2.10 score 2 dependents 21 scripts 297 downloadsVLMC - Variable Length Markov Chains ('VLMC') Models
Functions, Classes & Methods for estimation, prediction, and simulation (bootstrap) of Variable Length Markov Chain ('VLMC') Models.
Last updated 4 months ago
1.92 score 28 scripts 278 downloadssca - Simple Component Analysis
Simple Component Analysis (SCA) often provides much more interpretable components than Principal Components (PCA) while still representing much of the variability in the data.
Last updated 11 months ago
1.08 score 12 scripts 318 downloadsclassGraph - Construct Graphs of S4 Class Hierarchies
Construct directed graphs of S4 class hierarchies and visualize them. In general, these graphs typically are DAGs (directed acyclic graphs), often simple trees in practice.
Last updated 1 years ago
1.00 score 1 scripts 314 downloads