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| aic | Akaike information criterion (AIC) method |
| AICdemo | Akaike information criterion (AIC) method for demo function |
| AICoutput | Output for Adjusted R squared (ARS) method |
| AIC_BANOVA | Akaike information criterion (AIC) method and ANOVA |
| ARS | Adjusted R squared (ARS) method |
| ARS.BANOVA | Adjusted R squared (ARS) method and ANOVA |
| ARSdemo | Adjusted R squared (ARS) method for demo function |
| ARSdemo.BANOVA | Adjusted R squared (ARS) method and ANOVA for demo function |
| ARSoutput | Output for Adjusted R squared (ARS) method |
| BANOVA | Statistical analysis (ANOVA(lm), 90CI...) |
| BANOVAanalyze | ANOVA function |
| BANOVAcsv | choose separator and decimal type |
| BANOVAdata | Input/Edit data for ANOVA function |
| BANOVAmenu | List of ANOVA Menu |
| BANOVAoutput | Output of ANOVA function |
| BANOVAplot | BANOVAplot |
| bye | The final step Menu |
| demoBANOVA | Statistical analysis (ANOVA(lm), 90CI...)for demo file |
| demomenu | menu for NCA demo file |
| demomenu1 | menu for NCA demo file |
| demopara | Demo for sample size estimation |
| demosize | Demo for sample size estimation |
| description_AIC | Description for Akaike information criterion (AIC) method |
| description_ARS | Description for Adjusted R squared (ARS) method |
| description_BANOVA | Description for ANOVA |
| description_drug | Description for drug |
| description_drugcode | Description for drug code |
| description_import | Description for import csv |
| description_load | Description for load Rdata |
| description_NCA | Description for Noncompartmental analysis (NCA) |
| description_NCAcsv | Description for NCA csv file |
| description_NCAinput | Description for NCA input data |
| description_ParaMIX | Description for lme for parallel study |
| description_ParaNCAcsv | Description for NCA csv file for parallel study |
| description_ParaNCAinput | Description for NCA input data for parallel study |
| description_plot | Description for plot |
| description_Repdrugcode | Description of drug code for replicated study |
| description_RepMIX | Description for lme for replicated study |
| description_RepNCAcsv | Description of NCA csv file for replicated study |
| description_RepNCAinput | Description for NCA input data for replicated study |
| description_size | Description for sample size input for crossover and replicated study |
| description_size_para | Description for sample size input for parallel study |
| description_TOST1_lnAUC0INF | Description for Two One-Sided Test for lnAUC0INF |
| description_TOST1_lnAUC0t | Description for Two One-Sided Test for lnAUC0t |
| description_TOST1_lnCmax | Description for Two One-Sided Test for lnCmax |
| description_TOST_lnAUC0INF | Description for Two One-Sided Test for lnAUC0INF |
| description_TOST_lnAUC0t | Description for Two One-Sided Test for lnAUC0t |
| description_TOST_lnCmax | Description for Two One-Sided Test for lnCmax |
| description_TTT | Description for Two Times Tmax (TTT) method |
| description_TTTAIC | Description for Two-Times-Tmax (TTT) and Akaike information criterion (AIC) |
| description_TTTARS | Description for Two Times Tmax (TTT) and Adjusted R squared (ARS) |
| description_version | Description for version |
| entertitle | enter Dose, xaxis and yaxis |
| entertitle.demo | enter Dose, xaxis and yaxis for demo file |
| go | List of bear Menu |
| logdata | Sample size estimation for log transformation data for crossover and replicated study |
| Multiplemenu | List of NCA non-replicated and replicated study |
| Multiplestatmenu | List of NCA->statistics non-replicated and replicated study |
| NCA | Noncompartmental analysis (NCA) |
| NCA.BANOVA | NCA and ANOVA |
| NCA.BANOVAanalyze | NCA and ANOVA function |
| NCA.BANOVAcsv | choose separator and decimal type |
| NCA.BANOVAdata | Input/Edit data for NCA and ANOVA function |
| NCA.BANOVAmenu | List of NCA and ANOVA Menu |
| NCAanalyze | NCA analyze function |
| NCAcsv | choose separator and decimal type |
| NCAdata | Input/Edit data for NCA function |
| NCAdemo | Select the exact 3 data points(NCA) for demo function |
| NCAdemo.BANOVA | Select the exact 3 data points(NCA) and ANOVA for demo function |
| NCAmenu | List of NCA 2x2x2 Menu |
| NCAoutput | Output of NCA |
| NCAplot | NCAplot |
| NCAsave | Save NCA outputs |
| NCAselect | Select the exact 3 points in NCA |
| NCAselect.BANOVA | Select the exact 3 points in NCA and ANOVA |
| NCAselectdemo | Select the exact 3 points in NCA for demo function |
| NCAselectdemo.BANOVA | Select the exact 3 points in NCA and ANOVA for demo function |
| NCAselectsave | Select the exact 3 points in NCA and Save the data |
| NCAselectsave.BANOVA | Select the exact 3 points in NCA and Save the data |
| ParaAIC | Akaike information criterion (AIC) method for parallel study |
| ParaAIC.MIX | Akaike information criterion (AIC) method->statictics for parallel study |
| ParaAICdemo | Akaike information criterion (AIC) method for demo function for parallel study |
| ParaAICoutput | Output for Adjusted R squared (ARS) method for parallel study |
| ParaARS | Adjusted R squared (ARS) method for parallel study |
| ParaARS.MIX | Adjusted R squared (ARS) method and lme for parallel study |
| ParaARSdemo | Adjusted R squared (ARS) method for demo function for parallel study |
| ParaARSoutput | Output for Adjusted R squared (ARS) method for parallel study |
| Paradata | Sample size estimation for log transformation data for parallel study |
| Parademomenu | menu for NCA demo file for parallel study |
| Parademomenu1 | menu for NCA->Statistical analysis demo file for parallel study |
| ParademoMIX | Statistical analysis (lme, 90CI...)for demo file for parallel study |
| Paralleldata | Data for NCA analyze for parallel study |
| Paramenu | List of NCA 2x2x1 Menu |
| ParaMIX | Statistical analysis (lme, 90CI...) for parallel study |
| ParaMIXanalyze | Split data to perform lme function for parallel study |
| ParaMIXcsv | choose separator and decimal type |
| ParaMIXdata | Input/Edit data for lme function for parallel study |
| ParaMIXmenu | List of lme Menu |
| ParaMIXoutput | Output of lme function |
| ParaNCA | Noncompartmental analysis (NCA) for parallel study |
| ParaNCA.MIX | NCA and lme for parallel study |
| ParaNCA.MIXanalyze | NCA and lme function |
| ParaNCA.MIXcsv | choose separator and decimal type |
| ParaNCA.MIXdata | Input/Edit data for NCA and lme function for parallel study |
| ParaNCA.MIXmenu | List of NCA and lme Menu |
| ParaNCAanalyze | NCA analyze function for replicated study |
| ParaNCAcsv | choose separator and decimal type |
| ParaNCAdata | Input/Edit data for NCA function for parallel study |
| ParaNCAdemo | Select the exact 3 data points(NCA) for demo function for parallel study |
| ParaNCAdemo.MIX | Select the exact 3 data points(NCA) and lme for demo function |
| ParaNCAoutput | Output of NCA for parallel study |
| ParaNCAplot | NCAplot for parallel study |
| ParaNCAsave | Save NCA outputs for parallel study |
| ParaNCAselect | Select the exact 3 points in NCA for parallel study |
| ParaNCAselect.MIX | Select the exact 3 points in NCA and lme for parallel study |
| ParaNCAselectdemo | Select the exact 3 points in NCA for demo function for parallel study |
| ParaNCAselectdemo.MIX | Select the exact 3 points in NCA and lme for demo function (parallel study) |
| ParaNCAselectsave | Select the exact 3 points in NCA and Save the data for parallel study |
| ParaNCAselectsave.MIX | Select the exact 3 points in NCA and Save the data |
| ParaTTT | Two Times Tmax (TTT) method for parallel study |
| ParaTTT.MIX | TTT and lme for parallel study |
| ParaTTTAIC | TTT and AIC for parallel study |
| ParaTTTAIC.MIX | TTT ,AIC and lme for parallel study |
| ParaTTTAICdemo | TTT and AIC for demo function for parallel study |
| ParaTTTAICoutput | Output for TTT and AIC for parallel study |
| ParaTTTARS | TTT and ARS for parallel study |
| ParaTTTARS.MIX | TTT ,ARS and lme for parallel study |
| ParaTTTARSdemo | TTT and ARS for demo function for parallel study |
| ParaTTTARSoutput | Output for TTT and ARS for parallel study |
| ParaTTTdemo | Two Times Tmax (TTT) method for demo function for parallel study |
| ParaTTToutput | Output for Two Times Tmax (TTT) method for parallel study |
| plotsingle | plot individual data for crossover study |
| plotsingle.para | plot individual data for parallel study |
| plotsingle.Rep | plot individual data for replicated study |
| prdcount | legends for plots |
| Repaic | Akaike information criterion (AIC) method for replicated study |
| RepAIC.MIX | Akaike information criterion (AIC) method->statictics for replicated study |
| RepAICdemo | Akaike information criterion (AIC) method for demo function for replicated study |
| RepAICoutput | Output for Adjusted R squared (ARS) method for replicated study |
| RepARS | Adjusted R squared (ARS) method for replicated study |
| RepARS.MIX | Adjusted R squared (ARS) method and lme for replicated study |
| RepARSdemo | Adjusted R squared (ARS) method for demo function for replicated study |
| RepARSoutput | Output for Adjusted R squared (ARS) method for replicated study |
| Repdemomenu | menu for NCA demo file for replicated study |
| Repdemomenu1 | menu for NCA->Statistical analysis demo file for replicated study |
| RepdemoMIX | Statistical analysis (lme, 90CI...)for demo file for replicated study |
| Replicateddata | Data for NCA analyze for replicated study |
| Repmenu | List of NCA 2x2xn Menu |
| RepMIX | Statistical analysis (lme, 90CI...) for replicated study |
| RepMIXanalyze | Split data to perform lme function for replicated study |
| RepMIXcsv | choose separator and decimal type |
| RepMIXdata | Input/Edit data for lme function for replicated study |
| RepMIXmenu | List of lme Menu |
| RepMIXoutput | Output of lme function |
| RepNCA | Noncompartmental analysis (NCA) for replicated study |
| RepNCA.MIX | NCA and lme for replicated study |
| RepNCA.MIXanalyze | NCA and lme function |
| RepNCA.MIXcsv | choose separator and decimal type |
| RepNCA.MIXdata | Input/Edit data for NCA and lme function for replicated study |
| RepNCA.MIXmenu | List of NCA and lme Menu |
| RepNCAanalyze | NCA analyze function for replicated study |
| RepNCAcsv | choose separator and decimal type |
| RepNCAdata | Input/Edit data for NCA function for replicated study |
| RepNCAdemo | Select the exact 3 data points(NCA) for demo function for replicated study |
| RepNCAdemo.MIX | Select the exact 3 data points(NCA) and lme for demo function |
| RepNCAoutput | Output of NCA for replicated study |
| RepNCAplot | NCAplot for replicated study |
| RepNCAsave | Save NCA outputs for replicated study |
| RepNCAselect | Select the exact 3 points in NCA for replicated study |
| RepNCAselect.MIX | Select the exact 3 points in NCA and lme for replicated study |
| RepNCAselectdemo | Select the exact 3 points in NCA for demo function for replicated study |
| RepNCAselectdemo.MIX | Select the exact 3 points in NCA and lme for demo function (replicated study) |
| RepNCAselectsave | Select the exact 3 points in NCA and Save the data for replicated study |
| RepNCAselectsave.MIX | Select the exact 3 points in NCA and Save the data |
| RepTTT | Two Times Tmax (TTT) method for replicated study |
| RepTTT.MIX | TTT and lme for replicated study |
| RepTTTAIC | TTT and AIC for replicated study |
| RepTTTAIC.MIX | TTT ,AIC and lme for replicated study |
| RepTTTAICdemo | TTT and AIC for demo function for replicated study |
| RepTTTAICoutput | Output for TTT and AIC for replicated study |
| RepTTTARS | TTT and ARS for replicated study |
| RepTTTARS.MIX | TTT ,ARS and lme for replicated study |
| RepTTTARSdemo | TTT and ARS for demo function for replicated study |
| RepTTTARSoutput | Output for TTT and ARS for replicated study |
| RepTTTdemo | Two Times Tmax (TTT) method for demo function for replicated study |
| RepTTToutput | Output for Two Times Tmax (TTT) method for replicated study |
| sizemenu | List of Sample size estimation Menu |
| statmenu | List of Statistical analysis non-replicated and replicated study |
| TotalSingledata | Data for NCA analyze |
| TTT | Two Times Tmax (TTT) method |
| TTT.BANOVA | TTT and ANOVA |
| TTTAIC | TTT and AIC |
| TTTAIC.BANOVA | TTT ,AIC and ANOVA |
| TTTAICdemo | TTT and AIC for demo function |
| TTTAICoutput | Output for TTT and AIC |
| TTTARS | TTT and ARS |
| TTTARS.BANOVA | TTT ,ARS and ANOVA |
| TTTARSdemo | TTT and ARS for demo function |
| TTTARSoutput | Output for TTT and ARS |
| TTTdemo | Two Times Tmax (TTT) method for demo function |
| TTTdemo.BANOVA | Two Times Tmax (TTT) method and ANOVA for demo function |
| TTToutput | Output for Two Times Tmax (TTT) method |
| xtick | x-tick |
| ytick | y-tick |