spaMM

Extractors for information criteria such as AIC

Conway-Maxwell-Poisson (COM-Poisson) GLM family

Cauchy correlation function and Cauchy formula term

Fitting generalized linear models without initial-value or divergence headaches

Gryphon data

Fits a (spatially) correlated mixed model, for given correlation parameters

Fit mixed models with given correlation matrix

Interpolated Markov Random Field models

Loa loa prevalence in North Cameroon, 1991-2001

Multiple-Stage False Discovery Rate procedure

Matern correlation function and Matern formula term.

Internal functions for procedure using the ((I,0),(Z,X)) block-order

Example of yield stability analysis

S4 classes for structured matrices

Simulated data set for testing sparse-precision code

Control of matrix-algebraic methods

Likelihood ratio test of fixed effects.

Arabidopsis genetic and climatic data

Fitting autoregressive models

Genetic polymorphism in relation to migration in the blackcap

Composite random effects

Confidence intervals

Assessing convergence for fitted models

Matern Correlation Structure as a corSpatial object

Defining parametric correlation families

Fits a mixed model, typically a spatial GLMM.

Using a corrMatrix argument

corr_family objects

Specifying correlation structures

Information about numerical problems

Interface for parallel computations

Interface for parallel computations

Evaluating bootstrap replicates

Functions to extract various components of a fit

Utilities for regularization of a matrix

Fitting function for fixed- and mixed-effect models with GLM response.

Fitting multivariate responses

Prediction from models with nearly-singular covariance matrices

Fixing some parameters

Likelihood ratio test of fixed effects.

Freight dataset

Extractors of arguments for functions from package RLRsim

Estimation of prediction variance with bootstrap correction

Initiate a fit from another fit

Extract matrices from a fit

Operations on lists of parameters

Clear and trustworthy formulas

Leverage extractor for HLfit objects

Extract information about how an object was obtained

Controlling optimization strategy through initial values

Distribution families for Gamma and inverse Gamma-distributed random effects

Checking for (quasi-)separation in binomial-response model.

Installing external libraries

Scaled distances between unique locations

Colorful plots of predictions in two-dimensional space.

Computation of “square root” of symmetric positive definite matrix

Fitting methods (objective functions maximized)

Analyzing multinomial data

Virtual factor for multivariate responses

Family function for GLMs and mixed models with negative binomial and zero-truncated negative binomial response.

spaMM options settings

Fit mixed-effects models incorporating pedigrees

Fitting random effects in the residual dispersion model

Model checking plots for mixed models

Partial-dependence effects and plots

Family function for GLMs and mixed models with Poisson and zero-truncated Poisson response.

Applying post-fit procedures on spaMM results

Prediction and response variances

Prediction from a model fit

Structure of random effects

Checking the rank of the fixed-effects design matrix

Residual variance extractor

Extract model residuals

Salamander mating data

Lip cancer in Scotland 1975 - 1980

Masks of seas or lands

Seed germination data

Simulate realizations of a fitted model.

Inference in mixed models, in particular spatial GLMMs

S3 methods of generics defined in other packages

spaMM conventions and differences from related fitting procedures

Internal spaMM Functions

Level (Contour) Plots with better aspect ratio control (for geographical maps, at least)

Parametric bootstrap

A flashy color palette.

Reduce the size of fitted objects

Summary and print methods for fit and test results.

Updates a fit

Extract covariance or correlation components from a fitted model object

Data from a resistivity experiment for semiconductor materials.

Welding data set

Selecting interfaces for parallelisation