
FRK
 Referenced in 79 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 44 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...

CMAES
 Referenced in 89 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...

GPML
 Referenced in 28 articles
[sw12890]
 specified by mean and covariance functions; we offer a library of simple mean and covariance...

spatstat
 Referenced in 115 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...

invGauss
 Referenced in 96 articles
[sw11207]
 with a Gaussian distribution. The model allows covariates to influence starting values of the Wiener ... with a userdefined choice of link functions...

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...

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...

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

Program MARK
 Referenced in 18 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...

spate
 Referenced in 5 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...

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

covRobust
 Referenced in 9 articles
[sw11081]
 Nearest Neighbor Cleaning. The cov.nnve() function for robust covariance estimation by the nearest neighbor variance...

rp.flm.test
 Referenced in 3 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...

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...

gss
 Referenced in 238 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...

LIBRA
 Referenced in 25 articles
[sw10553]
 library contains functions for univariate location, scale and skewness, multivariate location and covariance estimation ... quantiles. For comparison also several nonrobust functions are included. Many graphical tools are provided...

GRAVSOFT
 Referenced in 4 articles
[sw07999]
 determination of the empirical covariance function and its analytic modelling and geoid determination using least...

BSSasymp
 Referenced in 6 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...

Rfam
 Referenced in 32 articles
[sw04637]
 covariance models (CMs). The families in Rfam break down into three broad functional classes...