simstudy: Simulation of Study Data
Simulates data sets in order to explore modeling
techniques or better understand data generating processes. The user
specifies a set of relationships between covariates, and generates
data based on these specifications. The final data sets can represent
data from randomized control trials, repeated measure (longitudinal)
designs, and cluster randomized trials. Missingness can be generated
using various mechanisms (MCAR, MAR, NMAR).
Version:
0.9.0
Depends:
R (≥ 4.1.0)
Suggests:
covr,
dplyr,
formatR,
gee,
ggplot2, grid,
gridExtra,
hedgehog,
knitr,
magrittr,
Matrix,
mgcv,
ordinal,
pracma,
rmarkdown,
scales, splines,
survival,
testthat,
gtsummary,
broom.helpers,
survminer,
katex,
dirmult,
rms,
lmerTest
Published:
2025年10月06日
Maintainer:
Keith Goldfeld <keith.goldfeld at nyulangone.org>
NeedsCompilation:
yes
Documentation:
Vignettes:
Clustered Data (
source,
R code)
Correlation Matrices (
source,
R code)
Correlated Data (
source,
R code)
Customized Distributions (
source,
R code)
Dynamic Data Definition (
source,
R code)
Framework for repeated simulations (
source,
R code)
Targeted logistic model coefficients (
source,
R code)
Longitudinal Data (
source,
R code)
Missing Data (
source,
R code)
Ordinal Categorical Data (
source,
R code)
Simulating Study Data (
source,
R code)
Spline Data (
source,
R code)
Survival Data (
source,
R code)
Treatment and Exposure (
source,
R code)
Downloads:
Reverse dependencies:
Linking:
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https://CRAN.R-project.org/package=simstudy
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