R包“；rEDM"；：收敛交叉映射的ccm_平均函数？

我正在对多元数据系列进行“收敛交叉映射”分析。不幸的是，我对R-package“rEDM”的函数“ccm_means”感到困惑。它是“不推荐的”，到目前为止我还没有找到合适的替代方案。您知道用于进行CCM=收敛交叉映射分析的任何替代软件包或功能吗

明确地说，我指的是这段代码：

library(rEDM)
data(sardine_anchovy_sst)
anchovy_xmap_sst <- ccm(sardine_anchovy_sst, E = 3, lib_column = "anchovy", 
                        target_column = "np_sst", lib_sizes = seq(10, 80, by = 10), num_samples = 100, 
                        random_libs = TRUE, replace = TRUE, silent = TRUE)
sst_xmap_anchovy <- ccm(sardine_anchovy_sst, E = 3, lib_column = "np_sst", target_column = "anchovy", 
                        lib_sizes = seq(10, 80, by = 10), num_samples = 100, random_libs = TRUE, 
                        replace = TRUE, silent = TRUE)
str(anchovy_xmap_sst)
a_xmap_t_means <- ccm_means(anchovy_xmap_sst)
t_xmap_a_means <- ccm_means(sst_xmap_anchovy)
#####--------> ERROR POPS UP HERE

plot(a_xmap_t_means$lib_size, pmax(0, a_xmap_t_means$rho), type = "l", col = "red", 
     xlab = "Library Size", ylab = "Cross Map Skill (rho)", ylim = c(0, 1))
lines(t_xmap_a_means$lib_size, pmax(0, t_xmap_a_means$rho), col = "blue")
legend(x = "topleft", legend = c("anchovy xmap SST", "SST xmap anchovy"), col = c("red", 
                                                                                  "blue"), lwd = 1, bty = "n", inset = 0.02, cex = 0.8)*

库（rEDM）
数据（沙丁鱼和凤尾鱼）
凤尾鱼