mice.impute.phnorm: Imputation by GLM and phylogenetic information
In pdrhlik/phylomice: Multiple imputation with phylogenetic information.

Description Usage Arguments Value Note Author(s) References

Imputes univariate continuous missing data using the generalized least square approach.

1	mice.impute.phnorm(y, ry, x, psi, psiinv, ...)

`y`	Incomplete data vector of length `n`
`ry`	Vector of missing data pattern (`FALSE`=missing, `TRUE`=observed)
`x`	Matrix (`n` x `p`) of complete covariates.
`psi`	Covariance matrix containing phylogenetic information.
`psiinv`	Inverse of `psi`.
`...`	Other named arguments.

A vector of length nmis with imputations.

mice.impute.phnorm is based on the mice.impute.norm method from mice package and the GLM approach by Garland and Ives (2000).

Patrik Drhlik, Simon P. Blomberg, 2016

Van Buuren, S., Groothuis-Oudshoorn, K. (2011). mice: Multivariate Imputation by Chained Equations in R. Journal of Statistical Software, 45(3), 1-67. http://www.jstatsoft.org/v45/i03/

Garland Jr, Theodore, and Anthony R. Ives. Using the past to predict the present: confidence intervals for regression equations in phylogenetic comparative methods. The American Naturalist, 155.3 (2000): 346-364. http://www.jstor.org/stable/10.1086/303327

pdrhlik/phylomice documentation built on May 24, 2019, 11:45 p.m.