Nothing
## ----setup, include=FALSE, message=FALSE, warning=FALSE-----------------------
knitr::opts_chunk$set(
collapse = TRUE,
warning = FALSE,
message = FALSE,
fig.retina = 3,
comment = "#>"
)
library(logitr)
# Read in results from already estimated models so that the
# examples aren't actually run when building this page,
# otherwise it'll take much longer to build
mxl_pref <- readRDS(here::here('inst', 'extdata', 'mxl_pref.Rds'))
mxl_wtp <- readRDS(here::here('inst', 'extdata', 'mxl_wtp.Rds'))
mxl_pref_cor <- readRDS(here::here('inst', 'extdata', 'mxl_pref_cor.Rds'))
## ----eval=FALSE---------------------------------------------------------------
# library("logitr")
#
# set.seed(456)
#
# mxl_pref <- logitr(
# data = yogurt,
# outcome = 'choice',
# obsID = 'obsID',
# panelID = 'id',
# pars = c('price', 'feat', 'brand'),
# randPars = c(feat = 'n', brand = 'n'),
# numMultiStarts = 10
# )
## -----------------------------------------------------------------------------
summary(mxl_pref)
## -----------------------------------------------------------------------------
wtp_mxl_pref <- wtp(mxl_pref, scalePar = "price")
wtp_mxl_pref
## ----eval=FALSE---------------------------------------------------------------
# set.seed(6789)
#
# mxl_wtp <- logitr(
# data = yogurt,
# outcome = 'choice',
# obsID = 'obsID',
# panelID = 'id',
# pars = c('feat', 'brand'),
# scalePar = 'price',
# randPars = c(feat = 'n', brand = 'n'),
# numMultiStarts = 10,
# startVals = wtp_mxl_pref$Estimate
# )
## -----------------------------------------------------------------------------
summary(mxl_wtp)
## -----------------------------------------------------------------------------
wtpCompare(mxl_pref, mxl_wtp, scalePar = 'price')
## ----eval=FALSE---------------------------------------------------------------
# library("logitr")
#
# set.seed(456)
#
# mxl_pref_cor <- logitr(
# data = yogurt,
# outcome = 'choice',
# obsID = 'obsID',
# panelID = 'id',
# pars = c('price', 'feat', 'brand'),
# randPars = c(feat = 'n', brand = 'n'),
# numMultiStarts = 10,
# correlation = TRUE
# )
## -----------------------------------------------------------------------------
summary(mxl_pref_cor)
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