| ci.cum {Epi} | R Documentation |
Computes the cumulative sum of a set of parameter functions and the standard error of it. Optionally the exponential is applied to the parameter function before it is cumulated.
ci.cum( obj,
ctr.mat = NULL,
subset = NULL,
intl = 1,
alpha = 0.05,
Exp = TRUE,
zero = TRUE )
obj |
A model object. |
ctr.mat |
Contrast matrix to form . |
subset |
Subset of the parameters to which ctr.mat should be applied. |
intl |
Interval length for the cumulation. Either a constant or a
numerical vector of length nrow(ctr.mat). |
alpha |
Significance level used when computing confidence limits. |
Exp |
Should the paramter function be exponentiated before it is cumulated? |
zero |
Should an initial row of 0s be added to the result? |
The purpose of this function is to compute cumulative rate based on a
model for the rates. If the model is a multiplicative model for the
rates, the purpose of ctr.mat is to return a vector of rates or
log-rates when applied to the coefficients of the model. If log-rates
are returned, the they should be exponentiated before cumulated, and
since log-linear models are the most common the Exp parameter
defaults to TRUE.
A matrix with 4 columns: Estimate, lower and upper c.i. and standard error.
The numebr of rows equals nrow(ctr.mat) if zero
if FALSEo, otherwise nrow(ctr.mat)+1, because an initial row of 0s is added.
Bendix Carstensen, http://www.pubhealth.ku.dk/~bxc
See also ci.lin