• FRK

  • Referenced in 90 articles [sw19172]
  • decomposes the field, and hence the covariance function, using a fixed set of n basis ... functions, where n is typically much smaller than the number of data points (or polygons ... naturally allows for non-stationary, anisotropic covariance functions and the use of observations with varying...
  • fields

  • Referenced in 48 articles [sw08187]
  • data. Fields is for curve, surface and function fitting with an emphasis on splines, spatial ... covariances for large data sets. The splines and Kriging methods are supporting by functions that ... major feature is that any covariance function implemented in R and following a simple fields ... Matern family of covariances. There are also many useful functions for plotting and working with...
  • GPML

  • Referenced in 35 articles [sw12890]
  • specified by mean and covariance functions; we offer a library of simple mean and covariance...
  • CMA-ES

  • Referenced in 100 articles [sw05063]
  • stands for Covariance Matrix Adaptation Evolution Strategy. Evolution strategies (ES) are stochastic, derivative-free methods ... generation based on their fitness or objective function value f(x). Like this, over ... this distribution are represented by a covariance matrix. The covariance matrix adaptation ... useful, if the function f is ill-conditioned. Adaptation of the covariance matrix amounts...
  • spatstat

  • Referenced in 124 articles [sw04429]
  • Point Patterns, including multitype/marked points and spatial covariates, in any two-dimensional spatial region. Also ... number of dimensions. Contains over 1000 functions for plotting spatial data, exploratory data analysis, model ... using functions ppm, kppm, slrm similar to glm. Models may include dependence on covariates, interpoint...
  • rp.flm.test

  • Referenced in 7 articles [sw28046]
  • processes indexed by a randomly projected functional covariate to construct goodness-of-fit tests ... original and on the projected functional covariate is proved. The computation of the test...
  • invGauss

  • Referenced in 112 articles [sw11207]
  • with a Gaussian distribution. The model allows covariates to influence starting values of the Wiener ... with a user-defined choice of link functions...
  • ExaGeoStat

  • Referenced in 6 articles [sw30062]
  • Gaussian log-likelihood function, which operates on a large dense covariance ... matrix. Generated by the parametrizable Matérn covariance function, the resulting matrix is symmetric and positive...
  • spate

  • Referenced in 6 articles [sw12265]
  • Spectral SPDE Approach. This package provides functionality for spatio-temporal modeling of large data sets ... approach of using a spatio-temporal covariance function, the spectral SPDE approach is computationally advantageous ... customized hierarchical Bayesian model (HBM). The functions of the package then provide parameterizations ... censored distribution with point mass at zero. Covariates can be included in the model through...
  • weightedScores

  • Referenced in 7 articles [sw12457]
  • parametrization with probability mass function f(y; tau, xi) = Gamma(tau + y) xi^y / [ Gamma ... where x is a vector of covariates. For NB1, the parameter gamma is defined ... convolution parameter tau is a function of the covariate x and xi is constant ... constant and xi is a function of the covariate...
  • Program MARK

  • Referenced in 19 articles [sw14402]
  • modeled, e.g., treatment and control animals, and covariates specific to the group or the individual ... modeled by attribute groups, and as a function ... time, but not as a function of individual-specific covariates...
  • covRobust

  • Referenced in 10 articles [sw11081]
  • Nearest Neighbor Cleaning. The cov.nnve() function for robust covariance estimation by the nearest neighbor variance...
  • BSSasymp

  • Referenced in 8 articles [sw16157]
  • Unmixing Matrix Estimates. Functions to compute the asymptotic covariance matrices of mixing and unmixing matrix ... based and symmetric SOBI. Also functions to estimate these covariances based on data are available...
  • mirt

  • Referenced in 22 articles [sw13479]
  • detecting differential item functioning and modelling item and person covariates...
  • gptk

  • Referenced in 5 articles [sw24250]
  • process regression with a variety of covariance functions (e.g. RBF, Mattern, polynomial, etc). Based...
  • gss

  • Referenced in 268 articles [sw06099]
  • Smoothing spline ANOVA models Nonparametric function estimation with stochastic data, otherwise known as smoothing ... estimation with censored life time data and covariates. The unifying themes are the general penalized...
  • unmarked

  • Referenced in 8 articles [sw14405]
  • observation processes can be modeled as functions of covariates...
  • LatticeKrig

  • Referenced in 4 articles [sw15594]
  • comparable to standard families of covariance functions. Using a large number of basis functions allows ... with a small nugget variance.) Moreover, the covariance model for this method can approximate ... estimating covariance parameters. This is accomplished through compactly supported basis functions and a Markov random ... geometries simple where only a few specific functions need to be added with most...
  • spTest

  • Referenced in 3 articles [sw19766]
  • words, whether or not the spatial covariance function is isotropic. Isotropy implies that spatial dependence ... function of only the distance and not the direction of the spatial separation between sampling ... desirable. To avoid specification of the covariance function, a number of nonparametric tests of isotropy...
  • LIBRA

  • Referenced in 26 articles [sw10553]
  • library contains functions for univariate location, scale and skewness, multivariate location and covariance estimation ... quantiles. For comparison also several non-robust functions are included. Many graphical tools are provided...