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