• fda.usc

  • Referenced in 62 articles [sw14011]
  • supervised classification, unsupervised classification and functional analysis of variance...
  • bootlib

  • Referenced in 426 articles [sw40642]
  • Resampling with S-Plus. A library of functions and data written by Angelo Canty ... point processes. Chapter 9 describes how variance reduction techniques such as balanced simulation ... describes various semiparametric versions of the likelihood function and the ideas underlying which are closely...
  • GET

  • Referenced in 21 articles [sw35164]
  • random sets, functional analysis of variance, functional general linear model, n-sample test of correspondence...
  • FRK

  • Referenced in 119 articles [sw19172]
  • covariance functions and the use of observations with varying support (with known error variance ... based. The package FRK provides helper functions to model, fit, and predict using...
  • fields

  • Referenced in 56 articles [sw08187]
  • supporting by functions that can determine the smoothing parameter (nugget and sill variance) by cross ... major feature is that any covariance function implemented in R and following a simple fields...
  • refund

  • Referenced in 63 articles [sw07434]
  • representations of functional expansions are used to construct curve estimates and variances conditional ... specific decomposition. Iterated expectation and variance formulas combine model-based conditional estimates across the distribution ... that include both densely and sparsely observed functions. We apply our method to sparse observations...
  • GCTA

  • Referenced in 22 articles [sw23135]
  • missing heritability” problem. GCTA estimates the variance explained by all the SNPs on a chromosome ... trait. We introduce GCTA’s five main functions: data management, estimation of the genetic relationships ... from SNPs, mixed linear model analysis of variance explained by the SNPs, estimation ... simulation. We focus on the function of estimating the variance explained by all the SNPs...
  • vars

  • Referenced in 35 articles [sw04507]
  • causality analysis, forecast error variance decomposition and impulse response functions of VAR models and estimation...
  • copula

  • Referenced in 172 articles [sw14499]
  • contour plots. Fitting copula models including variance estimates. Independence and serial (univariate and multivariate) independence ... tests and related tools and special functions...
  • kappalab

  • Referenced in 53 articles [sw06086]
  • well as other equivalent representations of set functions can also be computed. Kappalab further contains ... maximum entropy like method based on variance minimization, a minimum distance approach and an unsupervised ... approach grounded on parametric entropies. The functions contained in Kappalab can for instance be used...
  • VarianceGamma

  • Referenced in 6 articles [sw11603]
  • Gamma Distribution. This package provides functions for the variance gamma distributions. Density, distribution and quantile ... fitting of the variance gamma to data. Also, functions for computing moments of the variance ... about any location. In addition, there are functions for checking the validity of parameters ... interchange different sets of parameterizatons for the variance gamma distribution...
  • mcglm

  • Referenced in 6 articles [sw23203]
  • defined in terms of a covariance link function combined with a matrix linear predictor involving ... conventional way by means of a variance function, and the mean structure is modelled...
  • PracTools

  • Referenced in 7 articles [sw28559]
  • three-stage sample designs. Other functions compute variance components for multistage designs and sample sizes...
  • frailtySurv

  • Referenced in 4 articles [sw19047]
  • normal, inverse Gaussian and power variance function, and provides consistent estimators of the standard errors...
  • multtest

  • Referenced in 22 articles [sw08262]
  • mean zero and variance covariance matrix derived from the vector influence function. Results are reported...
  • SQVAM

  • Referenced in 7 articles [sw02108]
  • algorithm for minimizing the variance of a nonlinear function of several random variables. Mean values ... allow the variance of each random variable to be a function of its mean value...
  • PetRBF

  • Referenced in 21 articles [sw12862]
  • basis functions. In contrast, the present method uses Gaussians with a small variance with respect ... fast decay of the Gaussian basis function allows rapid convergence of the iterative solver even...
  • fdANOVA

  • Referenced in 7 articles [sw29049]
  • package for analysis of variance for univariate and multivariate functional data. Functional data, i.e., observations ... such data is referred to as functional data analysis (FDA) which is one of major ... global analysis of variance methods for univariate and multivariate functional data. The implemented testing procedures...
  • ghyp

  • Referenced in 27 articles [sw08162]
  • special cases. This package provides detailed functionality for working with the univariate and multivariate Generalized ... cases (Hyperbolic (hyp), Normal Inverse Gaussian (NIG), Variance Gamma (VG), skewed Student-t and Gaussian ... based model selection routine, and functions for the computation of density, quantile, probability, random variates...
  • Distributions.jl

  • Referenced in 10 articles [sw23197]
  • distributions and associated functions. Particularly, Distributions implements: Moments (e.g mean, variance, skewness, and kurtosis), entropy...