generate.sim.parameters.dt: Generates parameters for simulating data for the study e.g....
In mattmoo/SteppedWedgeAnalysis: Simulation and Analysis of Stepped Wedge Data

Generates parameters for simulating data for the study e.g. what is the recruitment rate, mean, intervention effect etc in each cluster.

generate.sim.parameters.dt(
  cluster.dt,
  sequence.dt,
  ppt.per.unit.time.mean = 1,
  target.n.participants = NA,
  ppt.per.unit.time.sd = 0.1,
  ppt.per.unit.time.sd.proportion.of.mean = NA,
  base.outcome = 10,
  intervention.effect.mean = 1,
  intervention.effect.sd = 0.1,
  intervention.effect.sd.proportion.of.mean = NA,
  cluster.effect.mean = 0,
  cluster.effect.sd = 0.1,
  cluster.effect.sd.proportion.of.mean = NA,
  time.effect.per.unit.mean = 0.01,
  time.effect.per.unit.sd = 0.001,
  time.effect.per.unit.sd.proportion.of.mean = NA,
  individual.noise.mean = 0.2,
  individual.noise.sd = 0.04,
  individual.noise.sd.proportion.of.mean = NA,
  cycle.amplitude.mean = 0.8,
  cycle.amplitude.sd = 0.1,
  cycle.amplitude.sd.proportion.of.mean = NA,
  cycle.start.mean = 10,
  cycle.start.sd = 0,
  cycle.start.sd.proportion.of.mean = NA,
  cycle.period.mean = 20,
  cycle.period.sd = 0,
  cycle.period.sd.proportion.of.mean = NA,
  min.time = 0,
  max.time = NA,
  n.to.generate = 1
)

`cluster.dt`	A study info data.table, containing data about clusters.
`sequence.dt`	A study info data.table, containing data about sequences.
`ppt.per.unit.time.mean`	What is the mean recruitment rate across clusters per one time.
`target.n.participants`	Integer how many participants, will adjust ppt.per.unit.time.mean in sim.parameters.dt by weighting them to get the desired number (Default: NA)
`ppt.per.unit.time.sd`	What is the variance in the recruitment rate between clusters.
`ppt.per.unit.time.sd.proportion.of.mean`	What is the variance in the recruitment rate between clusters as a multiple of mean. Will override ppt.per.unit.time.sd, disabled by default.
`base.outcome`	The outcome at every cluster before adding any effects
`intervention.effect.mean`	The mean effect of the intervention across cluster.
`intervention.effect.sd`	The variance in the effect of the intervention between clusters.
`intervention.effect.sd.proportion.of.mean`	The variance in the effect of the intervention between clusters as a multiple of mean. Will override intervention.effect.sd, disabled by default.
`cluster.effect.mean`	The mean effect associated with each cluster.
`cluster.effect.sd`	The variance in the effect associated with cluster.
`cluster.effect.sd.proportion.of.mean`	The variance in the effect associated with cluster as a multiple of mean. Will override cluster.effect.sd, disabled by default.
`time.effect.per.unit.mean`	The mean effect of time per one unit across clusters.
`time.effect.per.unit.sd`	The variance in the effect of time per one unit between clusters.
`time.effect.per.unit.sd.proportion.of.mean`	The variance in the effect of time per one unit between clusters as a multiple of mean. Will override time.effect.per.unit.sd, disabled by default.
`individual.noise.mean`	The mean of the standard deviation used to generate individual noise across clusters (i.e. generated by rnorm).
`individual.noise.sd`	The variance in the standard deviation used to generate individual noise across clusters.
`individual.noise.sd.proportion.of.mean`	The variance in the standard deviation used to generate individual noise across clusters as a multiple of mean. Will override individual.noise.sd, disabled by default.
`cycle.amplitude.mean`	The mean amplitude of the cyclical effect across clusters.
`cycle.amplitude.sd`	The variance in the amplitude of the cyclical effect between clusters.
`cycle.amplitude.sd.proportion.of.mean`	The variance in the cycle start time between clusters as a multiple of mean. Will override cycle.start.sd, disabled by default.
`cycle.start.mean`	The mean cycle start time across clusters.
`cycle.start.sd`	The variance in the cycle start time between clusters.
`cycle.period.mean`	The mean cycle period across clusters.
`cycle.period.sd`	The variance in the cycle period between clusters.
`cycle.period.sd.proportion.of.mean`	The variance in the cycle period between clusters as a multiple of mean. Will override cycle.period.sd, disabled by default.
`min.time`	Minimum time value (Default: 0)
`max.time`	Maximum time value, if NA will be calculated from sequence.dt, by assuming equal period lengths, which may not be correct (Default: NA)
`n.to.generate`	Integer how many different effects to generate. If more than one, an integer column will be added (sim.number) to delineate. (Default: 1)