From 7091d3738e7e55acb20edb88772b228f6f5b6c98 Mon Sep 17 00:00:00 2001
From: Johannes Ranke <jranke@uni-bremen.de>
Date: Thu, 31 Oct 2019 01:55:01 +0100
Subject: Add likelihood ratio test and other methods, fixes

The likelihood ratio test method is lrtest, in addition,
methods for update and residuals were added.
---
 R/lrtest.mkinfit.R | 57 ++++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 57 insertions(+)
 create mode 100644 R/lrtest.mkinfit.R

(limited to 'R/lrtest.mkinfit.R')

diff --git a/R/lrtest.mkinfit.R b/R/lrtest.mkinfit.R
new file mode 100644
index 00000000..9c0a9039
--- /dev/null
+++ b/R/lrtest.mkinfit.R
@@ -0,0 +1,57 @@
+#' @importFrom lmtest lrtest
+#' @export
+lmtest::lrtest
+
+#' Likelihood ratio test for mkinfit models
+#'
+#' Compare two mkinfit models based on their likelihood. If two fitted
+#' mkinfit objects are given as arguments, it is checked if they have been
+#' fitted to the same data. It is the responsibility of the user to make sure
+#' that the models are nested, i.e. one of them has less degrees of freedom
+#' and can be expressed by fixing the parameters of the other.
+#'
+#' Alternatively, an argument to mkinfit can be given which is then passed
+#' to \code{\link{update.mkinfit}} to obtain the alternative model.
+#'
+#' The comparison is then made by the \code{\link[lmtest]{lrtest.default}}
+#' method from the lmtest package. The model with the higher number of fitted
+#' parameters (alternative hypothesis) is listed first, then the model with the
+#' lower number of fitted parameters (null hypothesis).
+#'
+#' @importFrom stats logLik update
+#' @param object An \code{\link{mkinfit}} object
+#' @param object_2 Optionally, another mkinfit object fitted to the same data.
+#' @param \dots Argument to \code{\link{mkinfit}}, passed to
+#'   \code{\link{update.mkinfit}} for creating the alternative fitted object.
+#' @examples
+#' \dontrun{
+#' test_data <- subset(synthetic_data_for_UBA_2014[[12]]$data, name == "parent")
+#' sfo_fit <- mkinfit("SFO", test_data, quiet = TRUE)
+#' dfop_fit <- mkinfit("DFOP", test_data, quiet = TRUE)
+#' lrtest(dfop_fit, sfo_fit)
+#' lrtest(sfo_fit, dfop_fit)
+#' lrtest(dfop_fit, error_model = "tc")
+#' lrtest(dfop_fit, fixed_parms = c(k2 = 0))
+#' }
+#' @export
+lrtest.mkinfit <- function(object, object_2 = NULL, ...) {
+
+  name_function <- function(x) {
+    paste(x$mkinmod$name, "with error model", x$err_mod)
+  }
+
+  if (is.null(object_2)) {
+    object_2 <- update(object, ...)
+  } else {
+    data_object <- object$data[c("time", "variable", "observed")]
+    data_object_2 <- object_2$data[c("time", "variable", "observed")]
+    if (!identical(data_object, data_object_2)) {
+      stop("It seems that the mkinfit objects have not been fitted to the same data")
+    }
+  }
+  if (attr(logLik(object), "df") > attr(logLik(object_2), "df")) {
+    lmtest::lrtest.default(object, object_2, name = name_function)
+  } else {
+    lmtest::lrtest.default(object_2, object, name = name_function)
+  }
+}
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