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+# Create a time series of decline data
+
+Create a time series of decline data
+
+## Usage
+
+``` r
+one_box(x, ini, ..., t_end = 100, res = 0.01)
+
+# S3 method for class 'numeric'
+one_box(x, ini = 1, ..., t_end = 100, res = 0.01)
+
+# S3 method for class 'character'
+one_box(x, ini = 1, parms, ..., t_end = 100, res = 0.01)
+
+# S3 method for class 'mkinfit'
+one_box(x, ini = "model", ..., t_end = 100, res = 0.01)
+```
+
+## Arguments
+
+- x:
+
+  When numeric, this is the half-life to be used for an exponential
+  decline. When a character string specifying a parent decline model is
+  given e.g. `FOMC`, `parms` must contain the corresponding parameters.
+  If x is an
+  [mkinfit](https://pkgdown.jrwb.de/mkin/reference/mkinfit.html) object,
+  the decline is calculated from this object.
+
+- ini:
+
+  The initial amount. If x is an
+  [mkinfit](https://pkgdown.jrwb.de/mkin/reference/mkinfit.html) object,
+  and ini is 'model', the fitted initial concentrations are used.
+  Otherwise, ini must be numeric. If it has length one, it is used for
+  the parent and initial values of metabolites are zero, otherwise, it
+  must give values for all observed variables.
+
+- ...:
+
+  Further arguments passed to methods
+
+- t_end:
+
+  End of the time series
+
+- res:
+
+  Resolution of the time series
+
+- parms:
+
+  A named numeric vector containing the model parameters
+
+## Value
+
+An object of class `one_box`, inheriting from
+[ts](https://rdrr.io/r/stats/ts.html).
+
+## Examples
+
+``` r
+# Only use a half-life
+pred_0 <- one_box(10)
+plot(pred_0)
+
+
+# Use a fitted mkinfit model
+require(mkin)
+fit <- mkinfit("FOMC", FOCUS_2006_C, quiet = TRUE)
+pred_1 <- one_box(fit)
+plot(pred_1)
+
+
+# Use a model with more than one observed variable
+m_2 <- mkinmod(parent = mkinsub("SFO", "m1"), m1 = mkinsub("SFO"))
+#> Temporary DLL for differentials generated and loaded
+fit_2 <- mkinfit(m_2, FOCUS_2006_D, quiet = TRUE)
+#> Warning: Observations with value of zero were removed from the data
+pred_2 <- one_box(fit_2, ini = "model")
+plot(pred_2)
+```