Ways to compare SITAR models for fit
BICadj and AICadj calculate the BIC and AIC for SITAR models,
adjusting the likelihood for Box-Cox transformed y variables. varexp
calculates the variance explained by SITAR models, compared to the
corresponding fixed effect models. getL is used by [AB]ICadj to
find what power the y variable is raised to.
BICadj(..., pattern = NULL) AICadj(..., k = 2, pattern = NULL) varexp(..., pattern = NULL) getL(expr)
... |
one or more SITAR models. |
pattern |
regular expression defining names of models. |
k |
numeric, the penalty per parameter to be used; the default k = 2 is the classical AIC. |
expr |
quoted or unquoted expression containing a single variable name. |
The deviance is adjusted if the y variable is power-transformed, using the formula
deviance - 2n ( (lambda-1) * log(gm) + log(abs(lambda)) )
where lambda is the power transform, and n and
gm are the length and geometric mean of y.
The variance explained is given by
% explained = 100 * (1 - (sigma2/sigma1)^2)
where sigma1 is the fixed effects RSD and sigma2 the SITAR random effects RSD.
BICadj and AICadj accept non-sitar models with a
logLik class. varexp ignores objects not of class
sitar.
getL does not detect if the variable in expr, or its log, contains a multiplying constant,
so that the expressions log(x) and 1 + 2 * log(3 * x) both return 0.
For BICadj and AICadj a named vector of deviances in
increasing order. For varexp a named vector of percentages in
decreasing order. For getL the power the variable in expr
is raised to, or NA if expr is not a power of (a multiple of)
the variable.
Tim Cole tim.cole@ucl.ac.uk
data(heights) ## fit sitar model for height m1 <- sitar(x=age, y=height, id=id, data=heights, df=5) ## update it for log(height) m2 <- update(m1, y=sqrt(height)) ## compare variance explained in the two models varexp(m1, m2) ## compare BIC adjusting for sqrt transform ## the pattern matches names starting with "m" followed by a digit BICadj(pattern="^m[0-9]") ## find what power height is raised to getL(quote(sqrt(sqrt(height))))
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