Description Usage Arguments Value Author(s) References Examples
pGLS
An Generalized Least Square model for Comparative Phylogenetics
1 |
formula |
a formula describing the model to be fit. Note, that an intercept is included at default. |
data |
the data frame including the predictors (X's) and the response (Y) |
covarmatrix |
the var-covariance matrix that is derived from phylogeny or other sources |
na.action |
a dummy term for data cleaning. |
intercept |
TRUE (default) if the specified model is with a intercept. It is rare to fit a such model without intercepts. |
A list object of class "z"
containing the results of GLS fitting.
The components are:
pred |
fitted values and standard errors of the fitted values. |
coefficients |
estimated coefficients. |
cov.coeff |
estimated covariance matrix of the coefficients |
"sigma^2" |
estimated variance |
pred.cond. |
(for unknown species only)predicted y-values conditioning on the known species. Note if there are no unknown species present in the data, conditional prediction is not calculated. |
R-Sq |
fraction of total variance explained by the GLS model |
Xianyun Mao xianyunmao at gmai1.com replace 1 by l.
Garland, T., Jr., and A. R. Ives. (2000)
Using the past to predict the present: Confidence intervals
for regression equations in phylogenetic comparative methods. American Naturalist 155:346-364.
Martins, E. P., and T. F. Hansen. (1996)
The statistical analysis
of interspecific data: a review and evaluation of
comparative methods. Pages 22-75 in E. P. Martins, ed.
Phylogenies and the comparative method in animal behavior.
Oxford University Press, Oxford.
Box, G. E. P., G. M. Jenkins, and G. C. Reinsel. (1994)
Pages 282-285 Time series analysis: forecasting and control. Prentice Hall,
Englewood Cliffs, N.J.
Anderson, T.W. (2003).
An Introduction to Multivariate Statistical Analysis. Wiley-Interscience; 3rd edition
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