Data Analysis Tool for Average Bioequivalence and Bioavailability

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Documentation for package ‘bear’ version 2.7.7

• DESCRIPTION file.
• Code demos. Use demo() to run them.
• Package NEWS.

Help Pages

A B C D E G H I L M N O P R S T X Y

-- A --

about.bear	about.bear
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
bear.setup	Setup module for bear
bye	The final step Menu

-- C --

create.products_sum

create.products_sum

-- 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
demo_datasets_gen	To generate all demo datasets for testing purposes
description_AIC	Description for Akaike information criterion (AIC) method
description_ARS	Description for Adjusted R squared (ARS) method
description_BANOVA	Description for ANOVA
description_BE_criteria	Display BE criteia for Two One-Sided Test for all pivotal parameters
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_pointselect	description_pointselect
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
go2menu	List of bear Menu

-- H --

helper.func

helper.func

-- I --

icd.check	icd.check
indiv_dp.output	to generate list of individual data points as .csv format

-- L --

lm.mod	module to run both lm() and aov()
lme_lm.mod	module to run both lme() or lm()
logdata	Sample size estimation for log transformation data for crossover and replicated study
logo_plot_desc	Description for NCA/ODA plots version

-- 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
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
NCAreglplot	Plot regression lines and save all these plots in a .pdf in NCA
NCAsave	Save NCA outputs
NCAselect	Select 2-6 data points for lambda(z) estimation 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
normDataWithin	normDataWithin

-- O --

OutputFilez

OutputFilez

-- 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
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
summarySE	summarySE
summarySEwithin	summarySEwithin

-- T --

test.nca_stat	demo for NCA-anova demo file
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