• FRK

  • Referenced in 93 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 52 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 38 articles [sw12890]
  • specified by mean and covariance functions; we offer a library of simple mean and covariance...
  • CMA-ES

  • Referenced in 109 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 132 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...
  • GPFDA

  • Referenced in 7 articles [sw14770]
  • separable and/or non-stationary covariance structure of function-valued processes. In addition, there are functionalities ... mean function depends on scalar and/or functional covariates and the covariance structure depends on functional...
  • 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 121 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...
  • BSSasymp

  • Referenced in 11 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...
  • weightedScores

  • Referenced in 8 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...
  • 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...
  • covRobust

  • Referenced in 11 articles [sw11081]
  • Nearest Neighbor Cleaning. The cov.nnve() function for robust covariance estimation by the nearest neighbor variance...
  • mirt

  • Referenced in 25 articles [sw13479]
  • detecting differential item functioning and modelling item and person covariates...
  • 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...
  • Program MARK

  • Referenced in 20 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...
  • GJRM

  • Referenced in 9 articles [sw23082]
  • mean parameters to depend on flexible functions of covariates. We describe some of the methodological...
  • gss

  • Referenced in 282 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...
  • gptk

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

  • Referenced in 5 articles [sw15289]
  • point-referenced spatial data. The nonstationary covariance function allows the user to specify the underlying...
  • latentnet

  • Referenced in 18 articles [sw10550]
  • characteristics as well as functions of observed dyadic level covariates. In latentnet social distances ... posterior predictive checks. It has a function to simulate networks from a latent position...