nmm: f_create – R documentation

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nmm

f_create

f_create creates functions for log-likelihood of different models.

Description

f_create creates functions for log-likelihood of different models.

Usage

f_create(
  mn,
  data,
  fixed = 0,
  cheqs0 = NULL,
  separatenmm = FALSE,
  probt = NULL,
  tformula = NULL,
  hessian = NULL,
  transform = TRUE,
  sume = NULL
)

Arguments

`mn`	Expression, can be a list of equations.
`data`	Name of the data frame with which the function will be evaluated.
`fixed`	Integer, which parameter is fixed to be 0.
`cheqs0`	If continuous are supplied, include the expressions of errors.
`separatenmm`	if `TRUE`, separate log-likelihood for each equations is produced.
`probt`	Expressions of un-simplified probabilities with quantile transformation(qnorm(ifelse(P))).
`tformula`	unsimplified log(P)
`hessian`	Adds lines to check the Hessian, hessian should be the name of hessian function.
`transform`	if `TRUE`, adds lines to check conditional means
`sume`	Expression of summed likelihoods.

Value

Function.

Examples

eq_d <- c("ASC1 * 1 + B11_dur * dur_1" , "ASC2 * 1 + B12_dur * dur_2",
"ASC3 * 1 + B13_dur * dur_3 + B20_cost * cost_3 + B53_parkman * PbAvl_3",
"ASC4 * 1 + B14_dur * dur_4 + B20_cost * cost_4 + B34_serv * servIdx_4 + B44_stop * stopUs1R1_4")
parl <- c(paste0("ASC", 1:4), paste0("B1", 1:4, "_dur"), "B20_cost", "B53_parkman", "B34_serv",
"B44_stop")
obj <- get_par(parl, eq_d)
ffor <- obj$cheqs0
res <- MNlogitf(ffor, separatenmm=FALSE, transform=FALSE)
ff <- f_create(res$formula, data="data", fixed=1)

nmm

Nonlinear Multivariate Models

v0.9

GPL (>= 2)

Authors

Simona Jokubauskaite [aut, cre], Reinhard Hoessinger [aut], Friedrich Leisch [aut]

Initial release