Description Usage Arguments Details Value Author(s) References Examples
Estimates variance components of a two way cross classification mixed model with an order restricted fixed effect, a random effect and random interaction term.
1 | est.lme(y,ia,ib)
|
y |
a numeric matrix, for the lines of which univariate variance decompositions should be estimated |
ia |
integer vector of length ncol(y) specifying the ordered levels of the order restricted fixed effect as integers between 1 and n where n is the number of levels |
ib |
integer vector or factor specifying the levels of the random term (e.g. individuals) |
est.lme estimates the variance components for a two way cross classification mixed model with random interaction. The order restriction on the fixed effect used to improve the estimates by pooling levels of the fixed effect using isotonic regression according to the observed order in the measurements. Estimation is then done using functionality provided by the package <nlme>.
sb |
estimates of the random effect variance component |
sg |
estimates of the interaction term variance component |
se |
estimates of the residual error variance |
tss |
total sum of squares (useful to obtain normalized scales between estimates from different measurements) |
Florian Klinglmueller <float_at_lefant.net>
Klinglmueller, F., Tuechler, T., Posch, M. (2010) "Cross Platform Comparison Of Microarray Data Using Order Restricted Inference" Under Review
Pinheiro, J., Bates, D., DebRoy, S., Sarkar, D.,R Development Core Team (2010) "nlme: Linear and Nonlinear Mixed Effects Models"
Barlow, R. E., Bartholomew, D. J., Bremner, J. M., and Brunk, H. D. (1972) "Statistical inference under order restrictions"; Wiley, London.
Robertson, T., Wright,F. T. and Dykstra, R. L. (1988) "Order Restricted Statistical Inference"; Wiley, New York.
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