• ROSE

  • Referenced in 22 articles [sw07851]
  • numerical values to assign to the decision variables, e.g. a solution to an optimization problem ... programming, however, a considerable amount of symbolic transformation is essential to solving difficult optimization problems...
  • FPDclustering

  • Referenced in 3 articles [sw15462]
  • clustering method that involves a linear transformation of variables and a cluster optimizing...
  • dlookr

  • Referenced in 3 articles [sw28000]
  • tools that support data diagnosis, exploration, and transformation. Data diagnostics provides information and visualization ... visualization of the descriptive statistics of univariate variables, normality tests and outliers, correlation ... variables, and relationship between target variable and predictor. Data transformation supports binning for categorizing continuous...
  • Aztec

  • Referenced in 84 articles [sw12817]
  • matrix-vector multiplication and preconditioning. After the transformations, the iterative solvers can run efficiently ... format; b) a block-entry variable block row (VBR) format. These two formats have been...
  • ralgb4

  • Referenced in 4 articles [sw22652]
  • normalized antisubgradient in the transformed space of variables. The Octave functions ralgb5 and ralgb4...
  • ralgb5

  • Referenced in 4 articles [sw22653]
  • normalized antisubgradient in the transformed space of variables. The Octave functions ralgb5 and ralgb4...
  • Rprofet

  • Referenced in 1 article [sw33589]
  • package Rprofet: WOE Transformation and Scorecard Builder. Performs all steps in the credit scoring process ... variables, Weights of Evidence (WOE) transformation, variable clustering, custom binning, visualization, and scaling of logistic...
  • acepack

  • Referenced in 2 articles [sw32424]
  • finds a set of transformed response variables that maximizes R^2 using smoothing functions ... Friedman. 1985. ”Estimating Optimal Transformations for Multiple Regression and Correlation”. Journal of the American Statistical...
  • REG2HDFE

  • Referenced in 1 article [sw37476]
  • sets because you can ”store” the transformed variables and reuse them in alternative specifications...
  • homals

  • Referenced in 17 articles [sw13953]
  • imposed (nonlinear PCA). The categories are transformed by means of optimal scaling with options ... numerical scale levels (for rank-1 restrictions). Variables can be grouped into sets, in order...
  • BClass

  • Referenced in 2 articles [sw26091]
  • original set of heterogeneous variables is transformed into a set of purely homogeneous characteristics represented...
  • Chaospy

  • Referenced in 12 articles [sw31225]
  • transformations and a new approach for creating polynomial chaos expansions with dependent stochastic variables...
  • CORO

  • Referenced in 24 articles [sw02197]
  • optimization of a multiperiod Supply, Transformation and Distribution (STD) scheduling problem under uncertainty ... they are modeled by using a splitting variable scheme, via a redundant circular linking representation...
  • decon

  • Referenced in 21 articles [sw11088]
  • nonparametric regression model with errors-in-variables. The R functions allow the measurement errors ... adapt the ”Fast Fourier Transform” (FFT) algorithm for density estimation with error-free data...
  • SetTest

  • Referenced in 4 articles [sw21047]
  • which contrasts a group of i.i.d. random variables to a given continuous distribution, the input ... transformation. The null hypothesis means that these random variables follow the given distribution. For reference...
  • OSIPE

  • Referenced in 2 articles [sw00661]
  • main role is to transform meaningful FORTRAN variables into Objects which are linked via “created...
  • WMTSA

  • Referenced in 2 articles [sw26454]
  • versions of the discrete wavelet transform (DWT), analyzing variability as a function of scale, displaying...
  • AOfamilies

  • Referenced in 2 articles [sw32008]
  • families. This package implements AO transformations for binary response variables in Generalized Linear Models (GLMs ... variables in Quantile Regression (QR) models. The Maximum Likelihood Estimate (MLE) of the transformation parameter...
  • Alpha

  • Referenced in 6 articles [sw13717]
  • equations involving variables defined on multi-dimensional domains. By successive transformations (uniformization, parallelization for instance...
  • Aligator

  • Referenced in 10 articles [sw00029]
  • checking the P-solvability of loops, transforming them into a system of recurrence equations, solving ... recurrences and deriving closed forms of loop variables, computing the ideal of polynomial invariants...