R: Linear Mixed Models with Sparse Matrix Methods and Smoothing

# Linear Mixed Models with Sparse Matrix Methods and Smoothing

## Documentation for package ‘LMMsolver’ version 1.0.13

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

APSIMdat | Simulated Biomass as function of time using APSIM wheat.
as.ginverse | Construct a ginverse Object from Precision Matrices
barley.uniformity.trial | Uniformity trial of barley
coef.LMMsolve | Coefficients from the mixed model equations of an LMMsolve object.
deviance.LMMsolve | Deviance of an LMMsolve object
diagnosticsMME | Give diagnostics for mixed model coefficient matrix C and the cholesky decomposition
displayMME | Display the sparseness of the mixed model coefficient matrix
effDim | Function to get the Effective Dimensions.
fitted.LMMsolve | Fitted values of an LMMsolve object.
getHeritability | Generalized heritability of a random term
LMMsolve | Solve Linear Mixed Models
LMMsolveObject | Fitted LMMsolve Object
logLik.LMMsolve | Log-likelihood of an LMMsolve object
makeGrid | Create a data frame for use in making predictions.
mLogLik | Function to obtain restricted log-likelihood and the first derivatives of the log-likelihood, given values for the penalty parameters
multinomial | Family Object for Multinomial Model
multipop | Simulated QTL mapping data set
oats.data | Alpha lattice design of spring oats
obtainSmoothTrend | Obtain Smooth Trend.
predict.LMMsolve | Predict function
print.summary.LMMsolve | Summarize Linear Mixed Model fits
residuals.LMMsolve | Residuals of an LMMsolve object.
SeaSurfaceTemp | Sea Surface Temperature
spl1D | Fit P-splines
spl2D | Fit P-splines
spl3D | Fit P-splines
summary.LMMsolve | Summarize Linear Mixed Model fits