diff options
Diffstat (limited to 'R/summary.saem.mmkin.R')
| -rw-r--r-- | R/summary.saem.mmkin.R | 16 |
1 files changed, 14 insertions, 2 deletions
diff --git a/R/summary.saem.mmkin.R b/R/summary.saem.mmkin.R index 46ab548b..49b02a50 100644 --- a/R/summary.saem.mmkin.R +++ b/R/summary.saem.mmkin.R @@ -75,10 +75,21 @@ #' f_saem_dfop_sfo <- saem(f_mmkin_dfop_sfo) #' print(f_saem_dfop_sfo) #' illparms(f_saem_dfop_sfo) -#' f_saem_dfop_sfo_2 <- update(f_saem_dfop_sfo, covariance.model = diag(c(0, 0, 1, 1, 1, 0))) +#' f_saem_dfop_sfo_2 <- update(f_saem_dfop_sfo, +#' no_random_effect = c("parent_0", "log_k_m1")) #' illparms(f_saem_dfop_sfo_2) #' intervals(f_saem_dfop_sfo_2) #' summary(f_saem_dfop_sfo_2, data = TRUE) +#' # Add a correlation between random effects of g and k2 +#' cov_model_3 <- f_saem_dfop_sfo_2$so@model@covariance.model +#' cov_model_3["log_k2", "g_qlogis"] <- 1 +#' cov_model_3["g_qlogis", "log_k2"] <- 1 +#' f_saem_dfop_sfo_3 <- update(f_saem_dfop_sfo, +#' covariance.model = cov_model_3) +#' intervals(f_saem_dfop_sfo_3) +#' # The correlation does not improve the fit judged by AIC and BIC, although +#' # the likelihood is higher with the additional parameter +#' anova(f_saem_dfop_sfo, f_saem_dfop_sfo_2, f_saem_dfop_sfo_3) #' } #' #' @export @@ -150,7 +161,8 @@ summary.saem.mmkin <- function(object, data = FALSE, verbose = FALSE, distimes = # Random effects sdnames <- intersect(rownames(conf.int), paste0("SD.", pnames)) - confint_ranef <- as.matrix(conf.int[sdnames, c("estimate", "lower", "upper")]) + corrnames <- grep("^Corr.", rownames(conf.int), value = TRUE) + confint_ranef <- as.matrix(conf.int[c(sdnames, corrnames), c("estimate", "lower", "upper")]) colnames(confint_ranef)[1] <- "est." # Error model |