Aliases: rms.curv print.rms.curv
Keywords: nonlinear
### ** Examples # The treated sample from the Puromycin data mmcurve <- deriv3(~ Vm * conc/(K + conc), c("Vm", "K"), function(Vm, K, conc) NULL) Treated <- Puromycin[Puromycin$state == "treated", ] (Purfit1 <- nls(rate ~ mmcurve(Vm, K, conc), data = Treated, start = list(Vm=200, K=0.1)))
Nonlinear regression model model: rate ~ mmcurve(Vm, K, conc) data: Treated Vm K 212.68363 0.06412 residual sum-of-squares: 1195 Number of iterations to convergence: 6 Achieved convergence tolerance: 6.096e-06
rms.curv(Purfit1)
Parameter effects: c^theta x sqrt(F) = 0.2121 Intrinsic: c^iota x sqrt(F) = 0.092
##Parameter effects: c^theta x sqrt(F) = 0.2121 ## Intrinsic: c^iota x sqrt(F) = 0.092