r - skeleton in pomp is giving error (unused argument) -


i have written following code in r using pomp. works fine except skeleton function.error there, unused argument in skel.skel function returns void. adding data example. solicited , in advance. error this: c:/users/admin/appdata/local/temp/rtmpmez0jw/1892/pomp_dfb36bbab4b5ee3a8b4cbc45a0b63e0c.c: in function '__pomp_skelfn': c:/users/admin/appdata/local/temp/rtmpmez0jw/1892/pomp_dfb36bbab4b5ee3a8b4cbc45a0b63e0c.c:96:39: warning: 'return' value, in function returning void return(i); 

t   y1  y2 1   -0.058886245    0.018451378 2   -0.045854389    -0.012812011 3   0   -0.025850852 4   -0.06009386 0.021278254 5   0.053712929 -0.008261274 6   0   0.025270473 7   0.047628037 -0.008357995 8   0.061425641 -0.0146046 9   0   -0.03778035 10  0   -0.004632415  library(magrittr) library(pomp) library(ggplot2) data <- read.csv("c:/users/admin/documents/phd/book2.csv", stringsasfactors = false) data <- as.data.frame(data)  pomp(   data,times="t", t0=0,   rmeasure=csnippet("                     y1 = rnorm(x1+x2,sigma1);                     y2 = rnorm(x2-x1,sigma2);                     "),   dmeasure=csnippet("                     lik = dnorm(y1,x1+x2,sigma1,1)+dnorm(y2,x2-x1,sigma2,1);                     lik = (give_log) ? lik : exp(lik);                     "),   rprocess=discrete.time.sim(     step.fun=csnippet("                       double tx1, tx2;                       tx1 = rnorm(a11*x1 + a12*x2,nu1);                       tx2 = rnorm(a21*x1 + a22*x2,nu2);                       x1 = tx1; x2 = tx2;                       "),     delta.t=1),   initializer=csnippet("                        x1 = 0;                        x2 = 0;                        "),   skeleton = vectorfield(                     skel = csnippet("double i;                                      = a11 + a12*x1 + a22 + a21*x2;                                       return(i);                                                              ")                     ),   toestimationscale = logtrans <- csnippet("                                               tr1 = log(a11);                                                 tk1 = log(a21);                                                  tsigma1 = log(sigma1);                                            "),    fromestimationscale=exptransexptrans <- csnippet("                                                    tr1 = exp(a11);                                                       tk1 = exp(21);                                                      tsigma1 = exp(sigma1);                                                     "),   statenames=c("x1","x2"),   paramnames=c("a11","a12","a21","a22","sigma1","sigma2","nu1","nu2"),   params=c(a11=0.5,a12=-0.1,a21=0.2,a22=-1,nu1=0.3,nu2=0.1,sigma1=0.1,sigma2=0.3)   ) -> parus


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