Package index • simstudy

Define Data
`distributions` `normal` `poisson` `noZeroPoisson` `binary` `binomial` `uniform` `categorical` `gamma` `beta` `negBinomial` `nonrandom` `exponential` `mixture`	Distributions for Data Definitions
`defCondition()`	Add single row to definitions table of conditions that will be used to add data to an existing definitions table
`defData()`	Add single row to definitions table
`defDataAdd()`	Add single row to definitions table that will be used to add data to an existing data.table
`defRead()`	Read external csv data set definitions
`defReadAdd()`	Read external csv data set definitions for adding columns
`defReadCond()`	Read external csv data set definitions for adding columns
`defRepeat()`	Add multiple (similar) rows to definitions table
`defRepeatAdd()`	Add multiple (similar) rows to definitions table that will be used to add data to an existing data.table
`defSurv()`	Add single row to survival definitions
`updateDef()`	Update definition table
`updateDefAdd()`	Update definition table
Generate Data
`addColumns()`	Add columns to existing data set
`addCondition()`	Add a single column to existing data set based on a condition
`addDataDensity()`	Add data from a density defined by a vector of integers
`addMarkov()`	Add Markov chain
`addMultiFac()`	Add multi-factorial data
`addSynthetic()`	Add synthetic data to existing data set
`genData()`	Calling function to simulate data
`genDataDensity()`	Generate data from a density defined by a vector of integers
`genDummy()`	Create dummy variables from a factor or integer variable
`genFactor()`	Create factor variable from an existing (non-double) variable
`genFormula()`	Generate a linear formula
`genMarkov()`	Generate Markov chain
`genMultiFac()`	Generate multi-factorial data
`genOrdCat()`	Generate ordinal categorical data
`genSpline()`	Generate spline curves
`genSurv()`	Generate survival data
`genSynthetic()`	Generate synthetic data
Missing Data Define and generate different kinds of missingness.
`defMiss()`	Definitions for missing data
`genMiss()`	Generate missing data
`genObs()`	Create an observed data set that includes missing data
Group Data Assign treatment groups and create longitudinal data.
`addPeriods()`	Create longitudinal/panel data
`genCluster()`	Simulate clustered data
`genNthEvent()`	Generate event data using longitudinal data, and restrict output to time until the nth event.
`trtAssign()`	Assign treatment
`trtObserve()`	Observed exposure or treatment
`trtStepWedge()`	Assign treatment for stepped-wedge design
Correlated Data
`addCorData()`	Add correlated data to existing data.table
`addCorFlex()`	Create multivariate (correlated) data - for general distributions
`addCorGen()`	Create multivariate (correlated) data - for general distributions
`blockDecayMat()`	Create a block correlation matrix
`blockExchangeMat()`	Create a block correlation matrix with exchangeable structure
`genCorData()`	Create correlated data
`genCorFlex()`	Create multivariate (correlated) data - for general distributions
`genCorGen()`	Create multivariate (correlated) data - for general distributions
`genCorMat()`	Create a correlation matrix
`genOrdCat()`	Generate ordinal categorical data
Splines Use splines to define and generate data.
`genSpline()`	Generate spline curves
`viewBasis()`	Plot basis spline functions
`viewSplines()`	Plot spline curves
Utility
`addCompRisk()`	Generating single competing risk survival variable
`betaGetShapes()`	Convert beta mean and precision parameters to two shape parameters
`delColumns()`	Delete columns from existing data set
`gammaGetShapeRate()`	Convert gamma mean and dispersion parameters to shape and rate parameters
`genCatFormula()`	Generate Categorical Formula
`genMixFormula()`	Generate Mixture Formula
`iccRE()`	Generate variance for random effects that produce desired intra-class coefficients (ICCs) for clustered data.
`logisticCoefs()`	Determine intercept, treatment/exposure and covariate coefficients that can be used for binary data generation with a logit link and a set of covariates
`mergeData()`	Merge two data tables
`negbinomGetSizeProb()`	Convert negative binomial mean and dispersion parameters to size and prob parameters
`survGetParams()`	Get survival curve parameters
`survParamPlot()`	Plot survival curves
`trimData()`	Trim longitudinal data file once an event has occurred
`updateDef()`	Update definition table
`updateDefAdd()`	Update definition table
`viewBasis()`	Plot basis spline functions
`viewSplines()`	Plot spline curves
Deprecated & Defunct
`simstudy-deprecated`	Deprecated functions in simstudy

Reference

Define Data

Generate Data

Missing Data

Group Data

Correlated Data

Splines

Utility

Deprecated & Defunct