PoissonCurveSolver {Colossus} | R Documentation |
Calculates the likelihood curve for a poisson model directly
Description
PoissonCurveSolver
solves the confidence interval for a poisson model, starting at the optimum point and
iteratively optimizing each point to using the bisection method
Usage
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)
)
Arguments
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 |
Value
returns a list of the final results
See Also
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()