.\" -*- nroff -*- generated from .Rd format
.BG
.FN SSmicmen
.TL
Michaelis-Menten model
.DN
This `selfStart' model evaluates the Michaelis-Menten model and
its gradient.  It has an `initial' attribute that
will evaluate initial estimates of the parameters `Vm' and `K'
.CS
SSmicmen(input, Vm, K)
.RA
.AG input
a numeric vector of values at which to evaluate the model.
.AG Vm
a numeric parameter representing the maximum value of the response.
.AG K
a numeric parameter representing the `input' value at
which half the maximum response is attained.  In the field of enzyme
kinetics this is called the Michaelis parameter.
.RT
a numeric vector of the same length as `input'.  It is the value of
the expression `Vm*input/(K+input)'.  If both
the arguments `Vm' and `K' are
names of objects, the gradient matrix with respect to these names is
attached as an attribute named `gradient'.

.SA
`nls', `selfStart'
.EX
PurTrt <- Puromycin[ Puromycin$state == "treated", ]
SSmicmen( PurTrt$conc, 200, 0.05 )  # response only
Vm <- 200
K <- 0.05
SSmicmen( PurTrt$conc, Vm, K ) # response and gradient
.KW models
.WR
