nmm: MNlogitf – R documentation

Pricing

Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!

Get Started for Free

Documentation

nmm

MNlogitf

MNlogitf or MNdogitf returns log-likelihood(LL) expression for discrete equations of "logit" or "dogit" model.

Description

MNlogitf or MNdogitf returns log-likelihood(LL) expression for discrete equations of "logit" or "dogit" model.

Usage

MNlogitf(ffor, transform = FALSE, separatenmm = FALSE, weight_disc = FALSE)

MNdogitf(
  ffor,
  transform = FALSE,
  separatenmm = FALSE,
  weight_disc = FALSE,
  ppardogit = NULL
)

Arguments

`ffor`	Discrete choice equations.
`transform`	if `TRUE`, quantile transformation (normal) is applied.
`separatenmm`	if `TRUE`, equation specific LL is calculated
`weight_disc`	if `TRUE`, equations will include equation specific weights.
`ppardogit`	"dogit" parameters only used in MNdogitf

Value

`formula`	simplified LL for each equation or joint
`probs`	probability expression unsimplified
`expr`	LL string simplified
`formulat`	unsimplified log(P), only if transform is TRUE
`probt`	unsimplified P with quantile transformation qnorm(ifelse(P)), only if transform is TRUE
`expreteso`	unsimplified pnorm((qnorm(P)-mean)/sd), only if transform is TRUE
`probte`	qnorm(P)
`tval`	If quantile transformation is applied
`sume`	Denominator of logit probability

Functions

MNlogitf: returns log-likelihood(LL) expression for discrete equations of "logit" model.
MNdogitf: returns log-likelihood(LL) expression for discrete equations of "dogit" model.

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")
disc_par <- get_par(parl, eq_d)
ffor <- disc_par$cheqs0
res_l <- MNlogitf(ffor, separatenmm=FALSE, transform=FALSE)
res_d <- MNdogitf(ffor, separatenmm=FALSE, transform=FALSE)

nmm

Nonlinear Multivariate Models

v0.9

GPL (>= 2)

Authors

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

Initial release