Average bioequivalence and bioavailability data analysis tool

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Documentation for package ‘bear’ version 2.4.2

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A B D E G L M N P R S T X Y

-- A --

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

-- B --

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

-- D --

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_Multipledrugcode Description for drug code for multiple study
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

-- E --

entertitle enter Dose, xaxis and yaxis
entertitle.demo enter Dose, xaxis and yaxis for demo file

-- G --

go List of bear Menu

-- L --

logdata Sample size estimation for log transformation data for crossover and replicated study

-- M --

Multiple1menu List of NCA non-replicated and replicated study
Multipleaic Akaike information criterion (AIC) method for multiple study
MultipleAICdemo Akaike information criterion (AIC) method for demo function
MultipleAICoutput Output for Adjusted R squared (ARS) method for multiple dose
MultipleAIC_BANOVA Akaike information criterion (AIC) method and ANOVA for multiple dose
MultipleARS Adjusted R squared (ARS) method for multiple dose
MultipleARS.BANOVA Adjusted R squared (ARS) method and ANOVA for multiple dose
MultipleARSdemo Adjusted R squared (ARS) method for demo function for multiple dose
MultipleARSoutput Output for Adjusted R squared (ARS) method for multiple dose
MultipleBANOVA Statistical analysis (ANOVA(lm), 90CI...)
MultipleBANOVAanalyze ANOVA function for multiple dose
MultipleBANOVAcsv choose separator and decimal type for multiple dose
MultipleBANOVAdata Input/Edit data for ANOVA function for multiple dose
MultipleBANOVAmenu List of ANOVA Menu for multiple dose
MultipleBANOVAoutput Output of ANOVA function for multiple dose
MultipleBANOVAplot BANOVAplot for multiple dose
Multipledata Data for NCA analyze for multiple dose
MultipledemoBANOVA Statistical analysis (ANOVA(lm), 90CI...)for demo file
Multipledemomenu menu for NCA demo file
Multipledemomenu1 menu for NCA demo file
Multiplego List of bear Menu
Multiplemenu List of NCA non-replicated and replicated study
MultipleNCA Noncompartmental analysis (NCA) for multiple dose
MultipleNCA.BANOVA NCA and ANOVA for multiple dose
MultipleNCA.BANOVAanalyze NCA and ANOVA function for multiple dose
MultipleNCA.BANOVAcsv choose separator and decimal type for multiple dose
MultipleNCA.BANOVAdata Input/Edit data for NCA and ANOVA function for multiple dose
MultipleNCA.BANOVAmenu List of NCA and ANOVA Menu for multiple dose
MultipleNCAanalyze NCA analyze function for multiple dose
MultipleNCAcsv choose separator and decimal type for multiple dose
MultipleNCAdata Input/Edit data for NCA function for multiple dose
MultipleNCAdemo Select the exact 3 data points(NCA) for demo function for multiple dose
MultipleNCAdemo.BANOVA Select the exact 3 data points(NCA) and ANOVA for demo function for multiple dose
MultipleNCAmenu List of NCA 2x2x2 Menu for multiple dose
MultipleNCAoutput Output of NCA for multiple dose
MultipleNCAplot NCAplot for multiple dose
MultipleNCAsave Save NCA outputs for multiple dose
MultipleNCAselect Select the exact 3 points in NCA for multiple dose
MultipleNCAselect.BANOVA Select the exact 3 points in NCA and ANOVA for multiple dose
MultipleNCAselectdemo Select the exact 3 points in NCA for demo function for multiple dose
MultipleNCAselectdemo.BANOVA Select the exact 3 points in NCA and ANOVA for demo function for multiple dose
MultipleNCAselectsave Select the exact 3 points in NCA and Save the data for multiple dose
MultipleNCAselectsave.BANOVA Select the exact 3 points in NCA and Save the data for multiple dose
Multiplentertitle enter Dose, tau, time of last dose, xaxis and yaxis for multiple dose
Multiplentertitle.demo enter Dose, tau, time of last dose, xaxis and yaxis for multiple dose for demo file
MultipleParaAIC Akaike information criterion (AIC) method for parallel with multiple dose study
MultipleParaAIC.MIX Akaike information criterion (AIC) method->statictics for parallel with multiple dose study
MultipleParaAICdemo Akaike information criterion (AIC) method for demo function for parallel with multiple dose study
MultipleParaAICoutput Output for Adjusted R squared (ARS) method for parallel with multiple dose study
MultipleParaARS Adjusted R squared (ARS) method for parallel with multiple dose study
MultipleParaARS.MIX Adjusted R squared (ARS) method and lme for parallel with multiple dose study
MultipleParaARSdemo Adjusted R squared (ARS) method for demo function for parallel with multiple dose study
MultipleParaARSoutput Output for Adjusted R squared (ARS) method for parallel study
MultipleParadata Data for NCA analyze for parallel with multiple dose study
MultipleParademomenu menu for NCA demo file for parallel with multiple dose study
MultipleParademomenu1 menu for NCA->Statistical analysis demo file for parallel with multiple dose study
MultipleParademoMIX Statistical analysis (lme, 90CI...)for demo file for parallel with multiple dose study
MultipleParamenu List of NCA 2x2x1 Menu for multiple dose
MultipleParaMIX Statistical analysis (lme, 90CI...) for parallel with multiple dose study
MultipleParaMIXanalyze Split data to perform lme function for parallel with multiple dose study
MultipleParaMIXcsv choose separator and decimal type for multiple dose
MultipleParaMIXdata Input/Edit data for lme function for parallel with multiple dose study
MultipleParaMIXmenu List of lme Menu for multiple dose
MultipleParaMIXoutput Output of lme function for multiple dose
MultipleParaNCA Noncompartmental analysis (NCA) for parallel with multiple dose study
MultipleParaNCA.MIX NCA and lme for parallel study for multiple dose
MultipleParaNCA.MIXanalyze NCA and lme function for multiple dose
MultipleParaNCA.MIXcsv choose separator and decimal type for multiple dose
MultipleParaNCA.MIXdata Input/Edit data for NCA and lme function for parallel with multiple dose study
MultipleParaNCA.MIXmenu List of NCA and lme Menu for multiple dose
MultipleParaNCAanalyze NCA analyze function for parallel with multiple dose study
MultipleParaNCAcsv choose separator and decimal type
MultipleParaNCAdata Input/Edit data for NCA function for parallel study
MultipleParaNCAdemo Select the exact 3 data points(NCA) for demo function for parallel study
MultipleParaNCAdemo.MIX Select the exact 3 data points(NCA) and lme for demo function
MultipleParaNCAoutput Output of NCA for parallel study
MultipleParaNCAplot NCAplot for parallel study
MultipleParaNCAsave Save NCA outputs for parallel study
MultipleParaNCAselect Select the exact 3 points in NCA for parallel study
MultipleParaNCAselect.MIX Select the exact 3 points in NCA and lme for parallel study
MultipleParaNCAselectdemo Select the exact 3 points in NCA for demo function for parallel study
MultipleParaNCAselectdemo.MIX Select the exact 3 points in NCA and lme for demo function (parallel study)
MultipleParaNCAselectsave Select the exact 3 points in NCA and Save the data for parallel study
MultipleParaNCAselectsave.MIX Select the exact 3 points in NCA and Save the data
MultipleParaTTT Two Times Tmax (TTT) method for parallel study
MultipleParaTTT.MIX TTT and lme for parallel study
MultipleParaTTTAIC TTT and AIC for parallel study
MultipleParaTTTAIC.MIX TTT ,AIC and lme for parallel study
MultipleParaTTTAICdemo TTT and AIC for demo function for parallel study
MultipleParaTTTAICoutput Output for TTT and AIC for parallel study
MultipleParaTTTARS TTT and ARS for parallel study
MultipleParaTTTARS.MIX TTT ,ARS and lme for parallel study
MultipleParaTTTARSdemo TTT and ARS for demo function for parallel study
MultipleParaTTTARSoutput Output for TTT and ARS for parallel study
MultipleParaTTTdemo Two Times Tmax (TTT) method for demo function for parallel study
MultipleParaTTToutput Output for Two Times Tmax (TTT) method for parallel study
Multipleplotsingle plot individual data for crossover study
Multipleplotsingle.para plot individual data for parallel study
Multiplestat1menu List of Statistical analysis non-replicated and replicated study
Multiplestatmenu List of NCA->statistics non-replicated and replicated study
MultipleTTT Two Times Tmax (TTT) method
MultipleTTT.BANOVA TTT and ANOVA
MultipleTTTAIC TTT and AIC
MultipleTTTAIC.BANOVA TTT ,AIC and ANOVA
MultipleTTTAICdemo TTT and AIC for demo function
MultipleTTTAICoutput Output for TTT and AIC
MultipleTTTARS TTT and ARS
MultipleTTTARS.BANOVA TTT ,ARS and ANOVA
MultipleTTTARSdemo TTT and ARS for demo function
MultipleTTTARSoutput Output for TTT and ARS
MultipleTTTdemo Two Times Tmax (TTT) method for demo function
MultipleTTToutput Output for Two Times Tmax (TTT) method

-- N --

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

-- P --

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 parallel 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

-- R --

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

-- S --

Singlego List of bear Menu
sizemenu List of Sample size estimation Menu
stat1menu List of Statistical analysis non-replicated and replicated study
statmenu List of Statistical analysis non-replicated and replicated study

-- T --

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

-- X --

xtick x-tick

-- Y --

ytick y-tick