search for: mymod2

..., 0.42, 0.41, 0.4, 0.4 ), x = c(16, 24, 32, 30, 30, 16, 12, 8, 36, 32, 36, 20, 26, 34, 28)), row.names = c(NA, -15L), class = "data.frame") I did the following to try to fit a nonlinear regression model: #First, Procedure to Find Starting (initial) Values For Theta1, Theta2, and Theta3 mymod2 <- y ~ theta1 - theta2*exp(-theta3*x) strt2 <- c(theta1 = 1, theta2 = 2, theta3 = 3) trysol2<-nlxb(formula=mymod2, data=mod14data2_random, start=strt2, trace=TRUE) trysol2 trysol2$coefficients[[3]] #Fitting nonlinear Regression Model Using Starting Values From Previous Part nonlinearmod...

...4, 32, 30, 30, 16, 12, 8, 36, 32, 36, 20, 26, 34, > 28)), row.names = c(NA, -15L), class = "data.frame") > > I did the following to try to fit a nonlinear regression model: > > #First, Procedure to Find Starting (initial) Values For Theta1, Theta2, and > Theta3 > > mymod2 <- y ~ theta1 - theta2*exp(-theta3*x) > > strt2 <- c(theta1 = 1, theta2 = 2, theta3 = 3) > > trysol2<-nlxb(formula=mymod2, data=mod14data2_random, start=strt2, > trace=TRUE) > trysol2 > trysol2$coefficients[[3]] > > #Fitting nonlinear Regression Model Using Start...

...26, 34, >> 28)), row.names = c(NA, -15L), class = "data.frame") >> >> I did the following to try to fit a nonlinear regression model: >> >> #First, Procedure to Find Starting (initial) Values For Theta1, Theta2, >> and >> Theta3 >> >> mymod2 <- y ~ theta1 - theta2*exp(-theta3*x) >> >> strt2 <- c(theta1 = 1, theta2 = 2, theta3 = 3) >> >> trysol2<-nlxb(formula=mymod2, data=mod14data2_random, start=strt2, >> trace=TRUE) >> trysol2 >> trysol2$coefficients[[3]] >> >> #Fitting no...

...s = c(NA, -15L), class = "data.frame") >>> >>> I did the following to try to fit a nonlinear regression model: >>> >>> #First, Procedure to Find Starting (initial) Values For Theta1, Theta2, >>> and >>> Theta3 >>> >>> mymod2 <- y ~ theta1 - theta2*exp(-theta3*x) >>> >>> strt2 <- c(theta1 = 1, theta2 = 2, theta3 = 3) >>> >>> trysol2<-nlxb(formula=mymod2, data=mod14data2_random, start=strt2, >>> trace=TRUE) >>> trysol2 >>> trysol2$coefficients[[3]] &...

...ata.frame") >>>> >>>> I did the following to try to fit a nonlinear regression model: >>>> >>>> #First, Procedure to Find Starting (initial) Values For Theta1, Theta2, >>>> and >>>> Theta3 >>>> >>>> mymod2 <- y ~ theta1 - theta2*exp(-theta3*x) >>>> >>>> strt2 <- c(theta1 = 1, theta2 = 2, theta3 = 3) >>>> >>>> trysol2<-nlxb(formula=mymod2, data=mod14data2_random, start=strt2, >>>> trace=TRUE) >>>> trysol2 >>>>...

...;> >>>>> I did the following to try to fit a nonlinear regression model: >>>>> >>>>> #First, Procedure to Find Starting (initial) Values For Theta1, >>>>> Theta2, and >>>>> Theta3 >>>>> >>>>> mymod2 <- y ~ theta1 - theta2*exp(-theta3*x) >>>>> >>>>> strt2 <- c(theta1 = 1, theta2 = 2, theta3 = 3) >>>>> >>>>> trysol2<-nlxb(formula=mymod2, data=mod14data2_random, start=strt2, >>>>> trace=TRUE) >>>>>...

...g to fit a model using nlsList() using alternately a SSfol() selfstart function or its developped equivalent formulae. This preliminary trial works well mydata<-groupedData(Conc~Tps|Organ,data=mydata) mymod1<-nls(Conc~SSfol(Dose,Tps,lKe,lKa,lCl),data=mydata) as well as a developped form: mymod2<-nls(Conc~Dose * exp(lKe+lKa-lCl) * (exp(-exp(lKe)*Tps)-exp(-exp(lKa)*Tps)) /(exp(lKa)-exp(lKe)), data=mydata, start= c(lKe=-2.77, lKa=-1.41, lCl=-1.13) ) However when trying to fit the model with nlsList, I get: mymod3<-nlsList(Conc~Dose * exp(lKe+lKa-lCl) * (exp(-exp(lKe)*Tp...

...t;onestep", + gmm.inst=~log(emp), lag.gmm=list(c(2,99)), transformation="d") > summary(abmod1,robust=TRUE) * Column (a2) xtabond2 n L(0/1).(l.n w) l(0/2).(k ys) yr198?c cons, gmm(L.n) iv(L(0/1).w l(0/2).(k ys) yr198?c cons) noleveleq noconstant two nomata replicated by: > mymod2<-pgmm(dynformula(log(emp)~log(wage)+log(capital)+log(output),list(2,1,2,2)), + data=EmplUK, effect="twoways", model="twosteps", + gmm.inst=~log(emp), lag.gmm=list(c(2,99)), transformation="d") > summary(mymod2) * Column (b) xtabond2 n L(0/1).(l.n ys w) k yr...

...uot;onestep", + gmm.inst=~log(emp), lag.gmm=list(c(2,99)), transformation="d") > summary(abmod1,robust=TRUE) * Column (a2) xtabond2 n L(0/1).(l.n w) l(0/2).(k ys) yr198?c cons, gmm(L.n) iv(L(0/1).w l(0/2).(k ys) yr198?c cons) noleveleq noconstant two nomata replicated by: > mymod2<-pgmm(dynformula(log(emp)~log(wage)+log(capital)+log(output),list(2,1,2,2)), + data=EmplUK, effect="twoways", model="twosteps", + gmm.inst=~log(emp), lag.gmm=list(c(2,99)), transformation="d") > summary(mymod2) * Column (b) xtabond2 n L(0/1).(l.n ys w) k yr19...