# 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 'mkinmod'
one_box(
  x,
  ini = c(1, rep(0, length(x$diffs) - 1)),
  odeparms,
  solution_type = "deSolve",
  ...,
  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

- odeparms:

  Will be passed to
  [mkinpredict](https://pkgdown.jrwb.de/mkin/reference/mkinpredict.html)

- solution_type:

  Will be passed to
  [mkinpredict](https://pkgdown.jrwb.de/mkin/reference/mkinpredict.html)

## 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 custom mkin model
require(mkin)
SFO_SFO <- mkinmod(
  parent = mkinsub("SFO", to = "m1"),
  m1 = mkinsub("SFO"))
#> Temporary DLL for differentials generated and loaded
c_0 = c(parent = 100, m1 = 0)
deg_parms = c(k_parent = 0.15, f_parent_to_m1 = 0.5, k_m1 = 0.01)
pred_sfo_sfo <- one_box(SFO_SFO, odeparms = deg_parms, ini = c_0)
plot(pred_sfo_sfo)


# Use a fitted mkin model
fit <- mkinfit("FOMC", FOCUS_2006_C, quiet = TRUE)
pred_1 <- one_box(fit)
plot(pred_1)


# Use a fitted model with a metabolite
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)
```