tlmec: Linear Student-t Mixed-Effects Models with Censored Data
In tlmec: Linear Student-t Mixed-Effects Models with Censored Data

Description Usage Arguments Value Author(s) See Also

View source: R/tlmec.R

Fit a linear mixed effects model for censored data with Student-t or normal distributions. The errors are assumed independent and identically distributed.

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tlmec(cens = NULL, y = NULL, x = NULL, z = NULL, nj = NULL, 
      nu = 4, family = "t", criteria = TRUE, diagnostic = FALSE,
      initial, iter.max = 200, error = 0.001)

`cens`	Vector of censures.
`y`	Vector or matrix of response. If y is a matrix the number of columns must be max(nj) with the missing values set as NA for non balanced design.
`x`	Design matrix of the fixed effects.
`z`	Design matrix of the random effects.
`nj`	A vector with the number of observations for each subject.
`nu`	Degree of freedom for Student-t distribution.
`family`	Distribution family to be used in fitting ("t" and "Normal")
`criteria`	If TRUE AIC, corrected AIC(AICcorr) and BIC are computed.
`diagnostic`	If TRUE all EM output are returned.
`initial`	Initial values
`iter.max`	The maximum number of iteration of the EM algorithm.
`error`	The convergence maximum error.