```r
m.L1.FOMC <- mkinfit("FOMC", FOCUS_2006_L1_mkin, quiet=TRUE)
```

```
## Warning in mkinfit("FOMC", FOCUS_2006_L1_mkin, quiet = TRUE): Optimisation by method Port did not converge.
## Convergence code is 1
```

```r
plot(m.L1.FOMC, show_errmin = TRUE, main = "FOCUS L1 - FOMC")
```

<img src="FOCUS_L_files/figure-html/unnamed-chunk-6-1.png" width="576" />

```r
summary(m.L1.FOMC, data = FALSE)
```

```
## mkin version:    0.9.44.9000 
## R version:       3.3.1 
## Date of fit:     Wed Oct 26 23:18:12 2016 
## Date of summary: Wed Oct 26 23:18:12 2016 
## 
## 
## Warning: Optimisation by method Port did not converge.
## Convergence code is 1 
## 
## 
## Equations:
## d_parent = - (alpha/beta) * 1/((time/beta) + 1) * parent
## 
## Model predictions using solution type analytical 
## 
## Fitted with method Port using 188 model solutions performed in 0.434 s
## 
## Weighting: none
## 
## Starting values for parameters to be optimised:
##          value   type
## parent_0 89.85  state
## alpha     1.00 deparm
## beta     10.00 deparm
## 
## Starting values for the transformed parameters actually optimised:
##               value lower upper
## parent_0  89.850000  -Inf   Inf
## log_alpha  0.000000  -Inf   Inf
## log_beta   2.302585  -Inf   Inf
## 
## Fixed parameter values:
## None
## 
## Optimised, transformed parameters with symmetric confidence intervals:
##           Estimate Std. Error  Lower Upper
## parent_0     92.47      1.422  89.44 95.50
## log_alpha    15.43     15.080 -16.71 47.58
## log_beta     17.78     15.090 -14.37 49.93
## 
## Parameter correlation:
##           parent_0 log_alpha log_beta
## parent_0    1.0000    0.1129   0.1112
## log_alpha   0.1129    1.0000   1.0000
## log_beta    0.1112    1.0000   1.0000
## 
## Residual standard error: 3.045 on 15 degrees of freedom
## 
## Backtransformed parameters:
## Confidence intervals for internally transformed parameters are asymmetric.
## t-test (unrealistically) based on the assumption of normal distribution
## for estimators of untransformed parameters.
##           Estimate t value    Pr(>t)     Lower     Upper
## parent_0 9.247e+01  65.150 4.044e-20 8.944e+01 9.550e+01
## alpha    5.044e+06   1.271 1.115e-01 5.510e-08 4.618e+20
## beta     5.276e+07   1.259 1.137e-01 5.732e-07 4.857e+21
## 
## Chi2 error levels in percent:
##          err.min n.optim df
## All data   3.619       3  6
## parent     3.619       3  6
## 
## Estimated disappearance times:
##        DT50  DT90 DT50back
## parent 7.25 24.08     7.25
```