R Under development (unstable) (2024-09-17 r87161 ucrt) -- "Unsuffered Consequences"
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> 
> library("MASS")
> library("tram")
Loading required package: mlt
Loading required package: basefun
Loading required package: variables
Loading required package: mvtnorm
> 
> ### Windows diffs...
> options(digits = 3)
> 
> tol <- .Machine$double.eps^(1/4)
> 
> cmp <- function(x, y)
+     stopifnot(isTRUE(all.equal(x, y, tolerance = tol)))
> 
> (house.plr <- polr(Sat ~ Infl + Type + Cont, weights = Freq, data = housing))
Call:
polr(formula = Sat ~ Infl + Type + Cont, data = housing, weights = Freq)

Coefficients:
   InflMedium      InflHigh TypeApartment    TypeAtrium   TypeTerrace 
        0.566         1.289        -0.572        -0.366        -1.091 
     ContHigh 
        0.360 

Intercepts:
 Low|Medium Medium|High 
     -0.496       0.691 

Residual Deviance: 3479.15 
AIC: 3495.15 
> summary(house.plr)

Re-fitting to get Hessian

Call:
polr(formula = Sat ~ Infl + Type + Cont, data = housing, weights = Freq)

Coefficients:
               Value Std. Error t value
InflMedium     0.566     0.1047    5.41
InflHigh       1.289     0.1272   10.14
TypeApartment -0.572     0.1192   -4.80
TypeAtrium    -0.366     0.1552   -2.36
TypeTerrace   -1.091     0.1515   -7.20
ContHigh       0.360     0.0955    3.77

Intercepts:
            Value  Std. Error t value
Low|Medium  -0.496  0.125     -3.974 
Medium|High  0.691  0.125      5.505 

Residual Deviance: 3479.15 
AIC: 3495.15 
> 
> (house.plr2 <- Polr(Sat ~ Infl + Type + Cont, weights = Freq, data = housing))

  Proportional Odds Regression Model 

Call:
Polr(formula = Sat ~ Infl + Type + Cont, data = housing, weights = Freq)

Coefficients:
   InflMedium      InflHigh TypeApartment    TypeAtrium   TypeTerrace 
        0.566         1.289        -0.572        -0.366        -1.091 
     ContHigh 
        0.360 

Log-Likelihood:
 -1740 (df = 8)

> summary(house.plr2)

  Proportional Odds Regression Model 

Call:
Polr(formula = Sat ~ Infl + Type + Cont, data = housing, weights = Freq)

Coefficients:
              Estimate Std. Error z value Pr(>|z|)    
InflMedium      0.5664     0.1047    5.41  6.2e-08 ***
InflHigh        1.2888     0.1272   10.14  < 2e-16 ***
TypeApartment  -0.5724     0.1192   -4.80  1.6e-06 ***
TypeAtrium     -0.3662     0.1552   -2.36  0.01828 *  
TypeTerrace    -1.0910     0.1515   -7.20  5.9e-13 ***
ContHigh        0.3603     0.0955    3.77  0.00016 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Log-Likelihood:
 -1740 (df = 8)
Likelihood-ratio Test: Chisq = 170 on 6 degrees of freedom; p = <2e-16

> 
> cmp(coef(house.plr), coef(house.plr2))
> ll <- logLik(house.plr)
> attr(ll, "nobs") <- NULL
> cmp(ll, logLik(house.plr2))
> 
> proc.time()
   user  system elapsed 
   1.03    0.10    1.12