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Request for mlogit support #192
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you could use nnet::multinomial as an alternative? |
Just posting an example to show that it doesn't work with # setup and data
set.seed(123)
library(mlogit)
#> Loading required package: Formula
#> Loading required package: zoo
#>
#> Attaching package: 'zoo'
#> The following objects are masked from 'package:base':
#>
#> as.Date, as.Date.numeric
#> Loading required package: lmtest
data("Fishing", package = "mlogit")
Fish <- mlogit.data(Fishing, varying = c(2:9), shape = "wide", choice = "mode")
# a pure "conditional" model
mod <- mlogit(mode ~ price + catch, data = Fish)
# summary
summary(mod)
#>
#> Call:
#> mlogit(formula = mode ~ price + catch, data = Fish, method = "nr")
#>
#> Frequencies of alternatives:
#> beach boat charter pier
#> 0.11337 0.35364 0.38240 0.15059
#>
#> nr method
#> 7 iterations, 0h:0m:0s
#> g'(-H)^-1g = 6.22E-06
#> successive function values within tolerance limits
#>
#> Coefficients :
#> Estimate Std. Error z-value Pr(>|z|)
#> boat:(intercept) 0.8713749 0.1140428 7.6408 2.154e-14 ***
#> charter:(intercept) 1.4988884 0.1329328 11.2755 < 2.2e-16 ***
#> pier:(intercept) 0.3070552 0.1145738 2.6800 0.0073627 **
#> price -0.0247896 0.0017044 -14.5444 < 2.2e-16 ***
#> catch 0.3771689 0.1099707 3.4297 0.0006042 ***
#> ---
#> Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
#>
#> Log-Likelihood: -1230.8
#> McFadden R^2: 0.17823
#> Likelihood ratio test : chisq = 533.88 (p.value = < 2.22e-16)
# confidence intervals for coefficients
confint(mod)
#> 2.5 % 97.5 %
#> boat:(intercept) 0.64785507 1.09489475
#> charter:(intercept) 1.23834489 1.75943188
#> pier:(intercept) 0.08249473 0.53161576
#> price -0.02813012 -0.02144898
#> catch 0.16163032 0.59270739
# tidier exists?
broom::tidy(mod)
#> Error: No tidy method for objects of class mlogit Created on 2019-03-18 by the reprex package (v0.2.1.9000) |
This issue has been automatically locked. If you believe you have found a related problem, please file a new issue (with a reprex: https://reprex.tidyverse.org) and link to this issue. |
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The mlogit package for multnomial logit estimation would be a valuable addition to broom capabilities.
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