illparms | R Documentation |

The method for generalised nonlinear regression fits as obtained with mkinfit and mmkin checks if the degradation parameters pass the Wald test (in degradation kinetics often simply called t-test) for significant difference from zero. For this test, the parameterisation without parameter transformations is used.

```
illparms(object, ...)
## S3 method for class 'mkinfit'
illparms(object, conf.level = 0.95, ...)
## S3 method for class 'illparms.mkinfit'
print(x, ...)
## S3 method for class 'mmkin'
illparms(object, conf.level = 0.95, ...)
## S3 method for class 'illparms.mmkin'
print(x, ...)
## S3 method for class 'saem.mmkin'
illparms(
object,
conf.level = 0.95,
random = TRUE,
errmod = TRUE,
slopes = TRUE,
...
)
## S3 method for class 'illparms.saem.mmkin'
print(x, ...)
## S3 method for class 'mhmkin'
illparms(object, conf.level = 0.95, random = TRUE, errmod = TRUE, ...)
## S3 method for class 'illparms.mhmkin'
print(x, ...)
```

`object` |
The object to investigate |

`...` |
For potential future extensions |

`conf.level` |
The confidence level for checking p values |

`x` |
The object to be printed |

`random` |
For hierarchical fits, should random effects be tested? |

`errmod` |
For hierarchical fits, should error model parameters be tested? |

`slopes` |
For hierarchical saem fits using saemix as backend, should slope parameters in the covariate model(starting with 'beta_') be tested? |

The method for hierarchical model fits, also known as nonlinear mixed-effects model fits as obtained with saem and mhmkin checks if any of the confidence intervals for the random effects expressed as standard deviations include zero, and if the confidence intervals for the error model parameters include zero.

For mkinfit or saem objects, a character vector of parameter names. For mmkin or mhmkin objects, a matrix like object of class 'illparms.mmkin' or 'illparms.mhmkin'.

All return objects have printing methods. For the single fits, printing does not output anything in the case no ill-defined parameters are found.

```
fit <- mkinfit("FOMC", FOCUS_2006_A, quiet = TRUE)
illparms(fit)
## Not run:
fits <- mmkin(
c("SFO", "FOMC"),
list("FOCUS A" = FOCUS_2006_A,
"FOCUS C" = FOCUS_2006_C),
quiet = TRUE)
illparms(fits)
## End(Not run)
```

mkin documentation built on Oct. 14, 2023, 5:08 p.m.

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.