pGLS: An Generalized Least Square model for comparative...
In pGLS: Generalized Least Square in comparative Phylogenetics
Description
Usage
Arguments
Value
Author(s)
References
Examples
Description
pGLS An Generalized Least Square model for Comparative Phylogenetics
Usage
1
Arguments
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.
Value
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
Author(s)
Xianyun Mao
xianyunmao at gmai1.com replace 1 by l.
References
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
Examples
1
2
pGLS documentation built on May 2, 2019, 12:20 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Value Author(s) References Examples
Description
pGLS An Generalized Least Square model for Comparative Phylogenetics
Usage
1 |
Arguments
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. |
Value
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 |
Author(s)
Xianyun Mao xianyunmao at gmai1.com replace 1 by l.
References
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
Examples
1 2 |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.