Description Usage Arguments Value Details Examples

View source: R/GIA_functions.R

Estimate GIA according to the base model

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`model_params` |
named vector of parameters to be used in function. Specifically, the named parameters must be "beta_A", "beta_B", "gamma_A", "gamma_B", "tau_1", and "tau_2". See details for more info. |

`dose_A` |
numeric vector of doses (e.g. mg/mL) of dose_A |

`dose_B` |
numeric vector of doses (e.g. mg/mL) of dose_B |

`fn_list` |
NULL |

estimated GIA for each combination of dose A and dose B

The equation is given in full as follows. The GIA (%) is given a as a function of the model parameters and the doses *A_i* and *B_i*, respectively. The doses scaled by the respective ED50s *β_A* and *β_B* are denoted by *A_i^** and *B_i^**, respectively. The parameters *γ_A* and *γ_B* are shape parameters. The parameters *τ_1* and *τ_2* are interaction parameters. Finally, *λ_i* is a weighted combination of dose A and dose B.

*GIA_i = 100\%(1 - e^{-ψ_i})*

*ψ_i = \log(2)u_i^{v_i}*

*u_i = A^*_i + B_i^* + τ_1 A^*_i B^*_i*

*v_i = λ_i γ_A + (1-λ_i) γ_B + τ_1 τ_2λ_i (1 - λ_i) γ_A γ_B*

*λ_i = \frac{A_i^*}{A_i^* + B_i^*}*

*A_i^* = A_i / β_A*

*B_i^* = B_i / β_B*

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