Add example for GP2.

Author: manuhuth

DESCRIPTION

@@ -1,8 +1,8 @@
 Package: coconots
 Type: Package
 Title: Convolution-Closed Models for Count Time Series
-Version: 2.0.1
-Date: 2025-07-24
+Version: 2.0.2
+Date: 2025-08-22
 Authors@R: c(
     person(given = "Manuel",
            family = "Huth",

R/cocoSim.R

@@ -31,12 +31,24 @@
 #'the simulation accurately captures the dynamics of the system being modeled.
 #' @author Manuel Huth
 #' @examples
+#' #First Order Model
 #' lambda <- 1
 #' alpha <- 0.4
 #' set.seed(12345)
 #' 
 #' # Simulate using the RCPP implementation
 #' data_rcpp <- cocoSim(order = 1, type = "Poisson", par = c(lambda, alpha), length = 100)
+#' 
+#' @examples
+#' # Second Order Model
+#' lambda <- 1
+#' alpha_1 <- 0.3
+#' alpha_2 <- 0.1
+#' alpha_3 <- 0.2
+#' eta <- 0.2
+#' data_j <- cocoSim(order = 2, type = "GP",
+#'                   par = c(lambda, alpha_1, alpha_2,alpha_3,eta),
+#'                   length = 100)
 #' @export
 
 cocoSim <- function(type, order, par, length, xreg = NULL, init = NULL, 

R/utils.R

@@ -1,3 +1,3 @@
 utils::globalVariables(c(
-  "Time", "Observed", "Fitted", "Residuals", "Lag", "ACF"
+  "Time", "Observed", "Fitted", "Residuals", "Lag", "ACF", "x", "p"
 ))

cran-comments.md

@@ -0,0 +1 @@
+We have modified the LogLik S3 method as requested by the journal of statistical software in order to resubmit our paper about coconots to the journal. In order to have the submitted file in line with the CRAN version, we would like to update the CRAN version.