programing for partial maximum likelihood for cox models with two covariate

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dears,
I like two write a program with R to estimate  the coefficients of  
covariate,I like two know the original program for this programing  
for partial maximum likelihood for cox models with two co variate.

I did it with coxph command,

> library(survival)
Loading required package: splines
 > coxph
function (formula = formula(data), data = parent.frame(), weights,
     subset, na.action, init, control, method = c("efron", "breslow",
         "exact"), singular.ok = TRUE, robust = FALSE, model = FALSE,
     x = FALSE, y = TRUE, ...)
{
     method <- match.arg(method)
     call <- match.call()
     m <- match.call(expand.dots = FALSE)
     temp <- c("", "formula", "data", "weights", "subset", "na.action")
     m <- m[match(temp, names(m), nomatch = 0)]
     special <- c("strata", "cluster")
     Terms <- if (missing(data))

< Output that goes on for about 3.5 pages was truncated>
David Winsemius

> thanks
>
>
>
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