View source: R/Poisson_Regression.R
| PoissonCurveSolver | R Documentation | 
PoissonCurveSolver solves the confidence interval for a poisson model, starting at the optimum point and
iteratively optimizing each point to using the bisection method
PoissonCurveSolver(
  df,
  pyr0 = "pyr",
  event0 = "event",
  names = c("CONST"),
  term_n = c(0),
  tform = "loglin",
  keep_constant = c(0),
  a_n = c(0),
  modelform = "M",
  control = list(),
  strat_col = "null",
  model_control = list(),
  cons_mat = as.matrix(c(0)),
  cons_vec = c(0)
)
| df | a data.table containing the columns of interest | 
| pyr0 | column used for person-years per row | 
| event0 | column used for event status | 
| names | columns for elements of the model, used to identify data columns | 
| term_n | term numbers for each element of the model | 
| tform | list of string function identifiers, used for linear/step | 
| keep_constant | binary values to denote which parameters to change | 
| a_n | list of initial parameter values, used to determine the number of parameters. May be either a list of vectors or a single vector. | 
| modelform | string specifying the model type: M, ME, A, PA, PAE, GMIX, GMIX-R, GMIX-E | 
| control | list of parameters controlling the convergence, see Def_Control() for options or vignette("Control_Options") | 
| strat_col | column to stratify by if needed | 
| model_control | controls which alternative model options are used, see Def_model_control() for options and vignette("Control_Options") for further details | 
| cons_mat | Matrix containing coefficients for a system of linear constraints, formatted as matrix | 
| cons_vec | Vector containing constants for a system of linear constraints, formatted as vector | 
returns a list of the final results
Other Poisson Wrapper Functions: 
RunPoissonEventAssignment(),
RunPoissonEventAssignment_bound(),
RunPoissonRegression(),
RunPoissonRegression_Guesses_CPP(),
RunPoissonRegression_Joint_Omnibus(),
RunPoissonRegression_Omnibus(),
RunPoissonRegression_Residual(),
RunPoissonRegression_Single(),
RunPoissonRegression_Strata(),
RunPoissonRegression_Tier_Guesses()
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