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 |
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_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 |
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 |