Man pages for LMMsolver
Linear Mixed Models with Sparse Matrix Methods and Smoothing

APSIMdatSimulated Biomass as function of time using APSIM wheat.
as.ginverseConstruct a ginverse Object from Precision Matrices
barley.uniformity.trialUniformity trial of barley
BsplinesConstruct design matrix for B-Splines
calcStandardErrorsStandard errors for predictions
coef.LMMsolveCoefficients from the mixed model equations of an LMMsolve...
constructRinvHelper function for constructing Rinv
deviance.LMMsolveDeviance of an LMMsolve object
diagnosticsMMEGive diagnostics for mixed model coefficient matrix C and the...
displayMMEDisplay the sparseness of the mixed model coefficient matrix
effDimFunction to get the Effective Dimensions.
fitted.LMMsolveFitted values of an LMMsolve object.
getHeritabilityGeneralized heritability of a random term
LMMsolveSolve Linear Mixed Models
LMMsolveObjectFitted LMMsolve Object
LMMsolverPackage LMMsolver
logLik.LMMsolveLog-likelihood of an LMMsolve object
makeGridCreate a data frame for use in making predictions.
mLogLikFunction to obtain restricted log-likelihood and the first...
multinomialFamily Object for Multinomial Model
multipopSimulated QTL mapping data set
oats.dataAlpha lattice design of spring oats
obtainSmoothTrendObtain Smooth Trend.
predict.LMMsolvePredict function
PsplinesKnotsConstruct equally placed knots
residuals.LMMsolveResiduals of an LMMsolve object.
RowKroneckerRow-wise kronecker product
SeaSurfaceTempSea Surface Temperature
spl1DFit P-splines
summary.LMMsolveSummarize Linear Mixed Model fits
LMMsolver documentation built on Sept. 24, 2026, 5:09 p.m.