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drugDemand
View on CRAN: Click
here
Download and install drugDemand package within the R console
Install from CRAN:
install.packages("drugDemand")
Install from Github:
library("remotes")
install_github("cran/drugDemand") Install by package version:
library("remotes")
install_version("drugDemand", "0.1.3") Attach the package and use:
library("drugDemand")
Maintained by
Kaifeng Lu
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-10-23
Latest Update: 2024-02-28
Description:
Performs drug demand forecasting by modeling drug dispensing data while taking into account predicted enrollment and treatment discontinuation dates. The gap time between randomization and the first drug dispensing visit is modeled using interval-censored exponential, Weibull, log-logistic, or log-normal distributions (Anderson-Bergman (2017) ). The number of skipped visits is modeled using Poisson, zero-inflated Poisson, or negative binomial distributions (Zeileis, Kleiber & Jackman (2008) ). The gap time between two consecutive drug dispensing visits given the number of skipped visits is modeled using linear regression based on least squares or least absolute deviations (Birkes & Dodge (1993, ISBN:0-471-56881-3)). The number of dispensed doses is modeled using linear or linear mixed-effects models (McCulloch & Searle (2001, ISBN:0-471-19364-X)).
How to cite:
Kaifeng Lu (2023). drugDemand: Drug Demand Forecasting. R package version 0.1.3, https://cran.r-project.org/web/packages/drugDemand. Accessed 07 Oct. 2026.
Previous versions and publish date:
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Complete documentation for drugDemand
Functions, R codes and Examples using
the drugDemand R package
Some associated functions: df1 . df2 . dosing_schedule_df . drugDemand-package . drug_description_df . f_cum_dose . f_dispensing_models . f_dose_draw . f_dose_draw_1 . f_dose_draw_t_1 . f_dose_new_cpp . f_dose_observed . f_dose_ongoing_cpp . f_dose_pp . f_drug_demand . f_fit_di . f_fit_ki . f_fit_t0 . f_fit_ti . f_treatment_by_drug_df . treatment_by_drug . visitview1 . visitview2 .
Some associated R codes: RcppExports.R . data.R . drugDemand-package.R . f_dispensing_models.R . f_dose_draw.R . f_dose_observed.R . f_dose_pp.R . f_drug_demand.R . Full drugDemand package functions and examples
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