## ----label = setup, include = FALSE---------------------------- knitr::opts_chunk$set(echo = TRUE, message = FALSE, warning = FALSE, widtht = 65) options(width = 65) ## -------------------------------------------------------------- library("mlogit") data("Electricity", package = "mlogit") Electricity$chid <- 1:nrow(Electricity) Electr <- dfidx(Electricity, idx = list(c("chid", "id")), choice = "choice", varying = 3:26, sep = "") ## ----Elec.mxl, echo = FALSE, results = 'hide'------------------ strt <- c(-0.9901049, -0.1985715, 2.0572983, 1.5908743, -9.1176130, -9.1946436, 0.2140892, 0.4019263, 1.5845577, 1.0130424, 2.5459903, 0.8854062) strt <- c(-0.9733844, -0.2055565, 2.0757333, 1.4756497, -9.0525423, -9.1037717, 0.2199450, 0.3783044, 1.4829803, 1.0000609, 2.2894889, 1.1808827) Elec.mxl <- mlogit(choice ~ pf + cl + loc + wk + tod + seas | 0, Electr, rpar=c(pf = 'n', cl = 'n', loc = 'n', wk = 'n', tod = 'n', seas = 'n'), R = 100, halton = NA, panel = TRUE, start = strt) ## ----eval = FALSE---------------------------------------------- # Elec.mxl <- mlogit(choice ~ pf + cl + loc + wk + tod + seas | 0, Electr, # rpar=c(pf = 'n', cl = 'n', loc = 'n', wk = 'n', # tod = 'n', seas = 'n'), # R = 100, halton = NA, panel = TRUE) ## -------------------------------------------------------------- summary(Elec.mxl) ## -------------------------------------------------------------- coef(Elec.mxl)['cl'] / coef(Elec.mxl)['pf'] ## -------------------------------------------------------------- pnorm(- coef(Elec.mxl)['cl'] / coef(Elec.mxl)['sd.cl']) ## -------------------------------------------------------------- pnorm(- coef(Elec.mxl)['pf'] / coef(Elec.mxl)['sd.pf']) ## ----Elec.mxl2, echo = FALSE, results = 'hide'----------------- strt <- c(-0.8710529, -0.2082428, 2.0460954, 1.4473149, 8.4091315, 8.5432555, 0.3687390, 1.5773527, 0.8837160, 2.5638874, 2.0722178) strt <- c(-0.8799042, -0.2170603, 2.0922916, 1.4908937, -8.5818566, -8.5832956, 0.3734776, 1.5588576, 1.0508114, 2.6946672, 1.9507270) Elec.mxl2 <- mlogit(choice ~ pf + cl + loc + wk + tod + seas | 0, Electr, rpar = c(cl = 'n', loc = 'n', wk = 'n', tod = 'n', seas = 'n'), R = 100, halton = NA, panel = TRUE, start = strt) ## ----eval = FALSE---------------------------------------------- # Elec.mxl2 <- mlogit(choice ~ pf + cl + loc + wk + tod + seas | 0, Electr, # rpar = c(cl = 'n', loc = 'n', wk = 'n', # tod = 'n', seas = 'n'), # R = 100, halton = NA, panel = TRUE) ## -------------------------------------------------------------- summary(Elec.mxl2) ## ----Elec.mxl3, echo = FALSE, results = 'hide'----------------- strt <- c(-0.8685207, -0.2103447, 2.0269971, 1.4773713, 8.3994921, 8.4976319, 0.3693250, 1.5862809, 1.5916990, 2.5775540, 2.0405350) strt <- c(-0.9303806, -0.2478098, 2.3808084, 1.5921023, -5.8173333, -10.7742475, 0.4115700, 1.4761539, 1.3644855, 5.1445848, 2.7185711) strt <- c(-0.8822317, -0.2171273, 2.0993191, 1.5094101, -8.6070022, -8.6024084, 0.3810701, 1.5938502, 1.7863766, 2.7190780, 1.9453765) Elec.mxl3 <- update(Elec.mxl, rpar = c(cl = 'n', loc = 'n', wk = 'u', tod = 'n', seas = 'n'), start = strt) ## ----eval = FALSE---------------------------------------------- # Elec.mxl3 <- update(Elec.mxl, rpar = c(cl = 'n', loc = 'n', wk = 'u', # tod = 'n', seas = 'n')) ## -------------------------------------------------------------- summary(Elec.mxl3) rpar(Elec.mxl3, 'wk') summary(rpar(Elec.mxl3, 'wk')) ## -------------------------------------------------------------- plot(rpar(Elec.mxl3, 'wk')) ## -------------------------------------------------------------- Electr <- dfidx(Electricity, idx = list(c("chid", "id")), choice = "choice", varying = 3:26, sep = "", opposite = c("tod", "seas")) ## ----Elec.mxl4, echo = FALSE, results = 'hide'----------------- strt <- c(-0.8689874, -0.2113327, 2.0238880, 1.4791236, 2.1123811, 2.1242071, 0.3731202, 1.5485101, 1.5217919, 0.3670763, 0.2753497) Elec.mxl4 <- mlogit(choice ~ pf + cl + loc + wk + tod + seas | 0, Electr, rpar = c(cl = 'n', loc = 'n', wk = 'u', tod = 'ln', seas = 'ln'), R = 100, halton = NA, panel = TRUE, start = strt) ## ----eval = FALSE---------------------------------------------- # Elec.mxl4 <- mlogit(choice ~ pf + cl + loc + wk + tod + seas | 0, Electr, # rpar = c(cl = 'n', loc = 'n', wk = 'u', tod = 'ln', seas = 'ln'), # R = 100, halton = NA, panel = TRUE) ## -------------------------------------------------------------- summary(Elec.mxl4) ## -------------------------------------------------------------- plot(rpar(Elec.mxl4, 'seas')) ## ----Elec.mxl5, echo = FALSE, results = 'hide'----------------- strt <- c(-0.917703974, -0.215851727, 2.392570989, 1.747531863, 2.155462393, 2.169548103, 0.396252325, 0.617497150, -2.071718067, 0.195238185, -1.236664544, 0.643190285, 0.001982314, 0.062508396, 0.160672338, 0.375855648, 0.025996362, -0.001225349, 0.141381623, 0.089990150, 0.211244575) Elec.mxl5 <- update(Elec.mxl4, correlation = TRUE, start = strt) ## ----eval = FALSE---------------------------------------------- # Elec.mxl5 <- update(Elec.mxl4, correlation = TRUE) ## -------------------------------------------------------------- summary(Elec.mxl5) cor.mlogit(Elec.mxl5) lrtest(Elec.mxl5, Elec.mxl4) waldtest(Elec.mxl5, correlation = FALSE) scoretest(Elec.mxl4, correlation = TRUE)