Description Usage Arguments Details Value Warning Note Author(s) See Also Examples

This function takes as its first argument a model returned by `nplr()`

. By inverting the logistic model, it estimates the x values corresponding to one (or a vector of) y target(s) provided. The standard error of the model, defined as the mean squared error on the fitted values, is used to estimate a confidence interval on the predicted x values, according to the specified `conf.level`

. see `Details`

.

1 2 | ```
## S4 method for signature 'nplr'
getEstimates(object, targets = seq(.9, .1, by = -.1), B = 1e4, conf.level = .95)
``` |

`object` |
: an object of class |

`targets` |
: one, of a vector of, numerical value(s) for which the corresponding x has to be estimated. Default are target values from .9 to .1. |

`B` |
: the length of the y distribution from which the x confidence interval is estimated. |

`conf.level` |
: the estimated x confidence interval, bounded by (1-conf.level)/2 and 1 - (1-conf.level)/2 (by default .95, which gives x.025 and x.975). |

In n-parameter logistic regressions, none of the parameters follow any particular distribution from which confidence intervals can be estimated. To overcome this issue, the standard error is used to generate a normal distribution of the target(s) passed to the function. The quantiles of that distribution are used in order to provide estimated bounds for the corresponding x value, with respect to `conf.level`

.
See also `Warning`

.

A data set containing:

`y` |
: the target value. |

`x.05` |
: the lower bound of the estimated 95% confidence interval (default). If another value is passed to conf.level, x will be labelled as x.(1-conf.level)/2. |

`x` |
: the estimated value. |

`x.95` |
: the upper bound of the estimated 95% confidence interval (default). If another value is passed to conf.level, x will be labelled as x.1-(1-conf.level)/2. |

Notice that, if any *target<=B* or *target>=T*, in other words outside the 2 asymptotes, the maximal (or minimal) possible value the model can estimates is returned.

The data used in the examples are samples from the NCI-60 Growth Inhibition Data: https://wiki.nci.nih.gov/display/NCIDTPdata/NCI-60+Growth+Inhibition+Data, except for multicell.tsv which are simulated data.

Frederic Commo, Brian M. Bot

`nplr`

, `plot.nplr`

, , `nplrAccessors`

1 2 3 4 5 6 7 | ```
# Using the PC-3 data
require(nplr)
path <- system.file("extdata", "pc3.txt", package="nplr")
pc3 <- read.delim(path)
model <- nplr(x = pc3$CONC, y = pc3$GIPROP)
getEstimates(model)
getEstimates(model, c(.3, .6), conf.level = .9)
``` |

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