Aliases: profile.nls
Keywords: nonlinear regression models
### ** Examples ## Don't show: od <- options(digits = 4) ## End(Don't show) # obtain the fitted object fm1 <- nls(demand ~ SSasympOrig(Time, A, lrc), data = BOD) # get the profile for the fitted model: default level is too extreme pr1 <- profile(fm1, alphamax = 0.05) # profiled values for the two parameters ## IGNORE_RDIFF_BEGIN pr1$A
tau par.vals.A par.vals.lrc 1 -3.0873 13.59751 0.14033 2 -2.4957 14.46884 0.01607 3 -1.8906 15.41836 -0.11787 4 -1.2634 16.49088 -0.26877 5 -0.6080 17.75662 -0.44553 6 0.0000 19.14258 -0.63282 7 0.4998 20.52853 -0.80750 8 0.9465 22.06851 -0.98233 9 1.3780 23.98253 -1.17103 10 1.7908 26.44552 -1.37431 11 2.1841 29.75928 -1.59599 12 2.5559 34.43804 -1.84209 13 2.9028 41.42542 -2.12176
pr1$lrc
tau par.vals.A par.vals.lrc 1 -2.9550 42.395076 -2.184153 2 -2.5201 33.446683 -1.836926 3 -2.0570 28.124205 -1.547326 4 -1.5710 24.656989 -1.293871 5 -1.0653 22.245847 -1.063030 6 -0.5412 20.482887 -0.845157 7 0.0000 19.142578 -0.632822 8 0.5539 18.095015 -0.420487 9 1.1022 17.273414 -0.207623 10 1.6298 16.621533 0.007939 11 2.1335 16.086803 0.234850 12 2.6052 15.638807 0.485009 13 3.0276 15.265409 0.779458
## IGNORE_RDIFF_END # see also example(plot.profile.nls) ## Don't show: options(od) ## End(Don't show)