Man pages for davidbolin/ngme
Linear Mixed Effects Models With Flexible Distributions
| build.A.matrix | Observation matrix computation. |
| calc_moment_density | takes output from characteristic_function_to_density and... |
| calc_moment_density_2d | takes output from characteristic_function_to_density and... |
| calc_moment_emperical | takes sample vector and computes mean, variance, skewness,... |
| characteristic_function_to_density | log density from char func using fft |
| characteristic_function_to_density2d | log density from char func using fft phi(x,y) on the grid... |
| create_matrices_FD2 | Create matrices for Finite difference. |
| create_matrices_Matern | Create matrices for Matern. |
| create.meshes.1d | Create meshes. |
| create_operator | Create operator components. |
| create_operator_matern2D | Compute FEM matrices - 2D. |
| create_operator_matern2Dbivariate | Compute FEM matrices - 2D bivariate fields. |
| density_1d_nig | Density for NIG stochastic process on an interval |
| density_1d_normal | computes density for normal univarate random fields in 1d... |
| density_2d_nig | Density for NIG random field on R2 |
| density_2d_nig_multivariate | Density for bivariate NIG random fields on R2 |
| density_2d_normal | Density for bivariate Gaussian stochastic process on an... |
| density_2d_normal_multivariate | Density for bivariate Gaussian random fields on a square in... |
| dGH | Density for Generalized hyperbolic distribution |
| dgig | Density function of Normal inverse Gaussian distribution. |
| dig | Density for inverse Gaussian distribution |
| dnigMeasure | Computing the density of the random scattered measure defined... |
| dtv2 | Density for t-distribution |
| emp.cov | Collects emperical covariances, and cross covarianes |
| estimateLong | Estimate parameters. |
| fitted.ngme | Fitted values. |
| generate.1d.mesh | Create 1d mesh from observation locations. |
| generate.adaptive.meshes.1d | Create 1d mesh from observation locations adaptively. |
| group.fixed | Group individuals for grouped sub-sampler. |
| intervals | Confidence intervals. |
| logchar_dens_matern | log-characterisct function of integral |
| logchar_dens_multi_matern | log-characterisct function of bivariate integral |
| logchar_f_multi_W | exponent in bivariate characteristic function calculate... |
| logchar_f_W | exponent in characteristic function |
| logchar_nig_f_eval | calculate exponent in characteristic function. |
| logchar_nig_multi_f_eval | calculate exponent in characteristic function. |
| logchar_normal_f_eval | calculate exponent in characteristic function for normal f(x)... |
| logchar_normal_multi_f_eval | calculate exponent in characteristic function for bivariate... |
| materncorr | Matern correlation function |
| maternkernel | Matern kernel |
| maternkernelMulti | kernel function producing the Matern covariance |
| ME.startvalues | Obtain initials for random effects. |
| ME.startvalues.bivariate | Obtain initials for random effects. |
| moment_transform | computes mean, variance, skewness, kurtosis from the four... |
| ngme | Maximum likelihood estimation of non-Gaussian longitudinal... |
| ngme.fisher | Estimation of Fisher information matrix |
| ngme_package | ngme: An R package for non-Gaussian mixed-effect models The... |
| ngme.par | Parameter estimation. |
| ngme.spatial | Parameter estimation of non-Gaussian spatial models. |
| ngme.spatial.moment | Marginal moments and density for ngme.spatial object |
| operator.startvalues | Obtain initial values for the operator. |
| operator.startvalues.bivariate | Obtain initial values for the operator. |
| Orthodont | Orthodont data |
| plot_GH_noise | Plot for mixed effects model fit. |
| plot.ngme | Trace plots. |
| plot.predict.ngme | Prediction plots. |
| polyak.ngme | Post-processing of ngme parameter estimates |
| predictLong | Obtain predictions |
| predict.ngme | Prediction. |
| predict.ngme.spatial | Prediction. |
| print.intervals | Print function for the function 'intervals'. |
| print.ngme | Print function for '"ngme"' objects. |
| print.predict.ngme | Print function for '"predict.ngme"' objects. |
| print.summary.ngme | Print function for '"summary.ngme"' function. |
| residuals.ngme | Residual values. |
| rGIG | Simulate generalised inverse-Gaussian (GIG) random variables. |
| rNIG | Simulates nig distribution |
| scale.beta | Scale fixed effects coefficients. |
| scale.sigma | Scale covariance matrix. |
| setseed_ME | STUFF. |
| simulateLongPrior | Simulates data from the prior model. |
| simulateLong.R | Simulating longitudal model using only R functions |
| simulate.process | Simulates prior model using processes and operator |
| spde.A | Computes observation matrix. |
| spde.basis | Compute FEM matrices. |
| srft_data | srft data |
| standardize.covariates | Standardise covariates. |
| summary.ngme | Summary function for '"ngme"' objects. |
| sum_moment | computes the centralized moment of X+Y @param moment1 - (4 x... |
| updateLists | STUFF |
