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All functions

bhm()
Bayesian hierarchical linear model and options with censoring
breast
Tumor growth data for a breast cancer model
dtime()
Tumor Doubling Time Based on Fitted Tumor Growth Model
gendat()
Generate tumor data: Time to reach endpoint
lmm()
Linear Mixed Model for Tumor Growth Data
melanoma1
Tumor growth data for a melanoma cancer model (A375)
melanoma2
Tumor growth data for a melanoma cancer model (451LuBR)
mixed()
Analysis based on mixed model
plot(<bhm>)
Creates plots for a bhm object
plot(<lmm>)
Creates Plots of an lmm object
plot(<rfeat>)
Plot based on rfeat analysis
plot_median()
Plot of tumor growth over time using the median
print(<lmm>)
Prints relevant output from lmm
print(<rfeat>)
Prints relevant output from rfeat
process_data()
Process data to be used in plot_median
prostate
Tumor growth data for a prostate cancer model
rfeat()
Analysis based on response features
rfeat_pwr()
Analysis based on response features
rmanova()
Analysis based on repeated measures ANOVA
summary(<bhm>)
Creates a summary of a bhm object
summary(<lmm>)
Creates a summary of an lmm object
tumr-package
tumr: Analysis and Power Calculations for Tumor Growth Rates Analysis and power calculations for tumor growth rates.
tumr()
Create tumr object
tumr_power()
Power calculation for tumor growth