gen_edr10: Genertae edr10_act from ED50 (acute data) and regression...
In cdv04/ACTR:

Description Usage Arguments Value Examples

ED50 are standardized (substraction mu_A and dividing by sigma_ A) and then scaled into chronic data (ED10) adding muC_act and multiplying by sigma_C_act

1	gen_edr10(PAC_gen, acute_df)

`acute_df`	A dataframe containing the ED50
`paracACT`	A dataframe containing mu_C_act and sigma_C_acy

a data frame containing the predicted EDR10 (=EDR10_act)

library(ACTR)
data(cipr)
ciprKP <- subset_data(cipr, Class,6)
PAC_obs <- est_PAC(ciprKP,Class)
PC_pred <- predict_PC(PAC_obs,bm_mu, bm_sigma)
PAC_gen <- cbind(PA_obs,PC_pred[,-1] )
edr10_act <- gen_edr10(PAC_gen,ciprKP.ac)