mlm.influence: Calculate Regression Deletion Diagnostics for Multivariate... In mvinfluence: Influence Measures and Diagnostic Plots for Multivariate Linear Models

Description

mlm.influence is the main computational function in this package. It is usually not called directly, but rather via its alias, influence.mlm, the S3 method for a mlm object.

Usage

 1 mlm.influence(model, do.coef = TRUE, m = 1, ...) 

Arguments

 model An mlm object, as returned by lm do.coef logical. Should the coefficients be returned in the inflmlm object? m Size of the subsets for deletion diagnostics ... Further arguments passed to other methods

Details

The computations and methods for the m=1 case are straight-forward, as are the computations for the m>1 case. Associated methods for m>1 are still under development.

Value

mlm.influence returns an S3 object of class inflmlm, a list with the following components

 m Deletion subset size H Hat values, H_I. If m=1, a vector of diagonal entries of the ‘hat’ matrix. Otherwise, a list of m \times m matrices corresponding to the subsets. Q Residuals, Q_I. CookD Cook's distance values L Leverage components R Residual components subsets Indices of the observations in the subsets of size m labels Observation labels call Model call for the mlm object Beta Deletion regression coefficients– included if do.coef=TRUE

Michael Friendly

References

Barrett, B. E. and Ling, R. F. (1992). General Classes of Influence Measures for Multivariate Regression. Journal of the American Statistical Association, 87(417), 184-191.

Barrett, B. E. (2003). Understanding Influence in Multivariate Regression. Communications in Statistics – Theory and Methods, 32, 3, 667-680.

See Also

influencePlot.mlm, ~~~

Examples

 1 2 3 4 5 6 7 8 9 Rohwer2 <- subset(Rohwer, subset=group==2) rownames(Rohwer2)<- 1:nrow(Rohwer2) Rohwer.mod <- lm(cbind(SAT, PPVT, Raven) ~ n+s+ns+na+ss, data=Rohwer2) Rohwer.mod influence(Rohwer.mod) # Sake data Sake.mod <- lm(cbind(taste,smell) ~ ., data=Sake) influence(Sake.mod) 

mvinfluence documentation built on May 31, 2017, 1:59 a.m.