
FRK
 Referenced in 96 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 nonstationary, 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...

CMAES
 Referenced in 109 articles
[sw05063]
 stands for Covariance Matrix Adaptation Evolution Strategy. Evolution strategies (ES) are stochastic, derivativefree 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 illconditioned. Adaptation of the covariance matrix amounts...

spatstat
 Referenced in 133 articles
[sw04429]
 Point Patterns, including multitype/marked points and spatial covariates, in any twodimensional 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 nonstationary covariance structure of functionvalued 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 goodnessoffit tests ... original and on the projected functional covariate is proved. The computation of the test...

invGauss
 Referenced in 122 articles
[sw11207]
 with a Gaussian distribution. The model allows covariates to influence starting values of the Wiener ... with a userdefined 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 loglikelihood 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 spatiotemporal modeling of large data sets ... approach of using a spatiotemporal 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 individualspecific 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]
 pointreferenced 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...