parnames: get and set parameter names
In bbmle: Tools for general maximum likelihood estimation

Description Usage Arguments Details Value Author(s) Examples

Gets and sets the "parnames" attribute on a negative log-likelihood function

1 2	parnames(obj) parnames(obj) <- value

`obj`	a negative log-likelihood function
`value`	a character vector of parameter names

The parnames attribute is used by mle2() when the negative log-likelihood function takes a parameter vector, rather than a list of parameters; this allows users to use the same objective function for optim() and mle2()

Returns the parnames attribute (a character vector of parameter names) or sets it.

Ben Bolker

x <- 1:5
set.seed(1001)
y <- rbinom(5,prob=x/(1+x),size=10)
mfun <- function(p) {
  a <- p[1]
  b <- p[2]
  -sum(dbinom(y,prob=a*x/(b+x),size=10,log=TRUE))
}
optim(fn=mfun,par=c(1,1))
parnames(mfun) <- c("a","b")
mle2(minuslogl=mfun,start=c(a=1,b=1),method="Nelder-Mead")

Loading required package: stats4
$par
[1] 0.8462090 0.1292243

$value
[1] 6.424763

$counts
function gradient 
      67       NA 

$convergence
[1] 0

$message
NULL


Call:
mle2(minuslogl = mfun, start = c(a = 1, b = 1), method = "Nelder-Mead")

Coefficients:
        a         b 
0.8462090 0.1292243 

Log-likelihood: -6.42