[R list package] Replication problem

[Graeme Blair]

Hi Juan,




Thanks for reporting this issue. We will look into it and update you and the list as soon as it is resolved.




Best,

Graeme

On Fri, Feb 27, 2015 at 1:52 PM, Juan Felipe Riaño Rodríguez
<jf.riano48 at uniandes.edu.co> wrote:

> Hi!
> Working with my data to verify ceiling and floor liars, I used your replication code as a guide and got error messages about the Log likelihood not being monotonically increasing. But then I realized that I also get this error with your own code on your data, that is simply running the replication of your paper. 
> In particular when trying to replicate Table 7, columns 3-6, as below, I get the error messages shown below (if I change the fit.start parameter, the error that pops out may change from object not found to non non monotonically increasing Log likelihood, but I always get an error anyways).
> In short, before concluding there is problem with my data specifically, given this finding I would like to point it out and make sure there is not a more general problem with the code (perhaps something got messed up in an software update or that of package dependencies?). 
> Thank you very much,
>> data(race)
>> 
>> ceiling.results <- ictreg(y ~ age + college + male + south, treat = "treat", J = 3, data = affirm, method = "ml", fit.start = "ml", ceiling = TRUE, ceiling.fit = "bayesglm", ceiling.formula = ~ age + college + male + south)
> Error in logistic(x.treatment.curr %*% fit.control.coef) : 
>   object 'fit.control.coef' not found
>> 
>> summary(ceiling.results, boundary.proportions = T)
> Error in summary(ceiling.results, boundary.proportions = T) : 
>   object 'ceiling.results' not found
>> 
>> # Fit standard design ML model with floor effects alone
>> # Replicates Columns 5-6
>> 
>> data(race)
>> 
>> floor.results <- ictreg(y ~ age + college + male + south, treat = "treat", 
> + 	      	 	J = 3, data = affirm, method = "ml", fit.start = "glm", 
> + 			floor = TRUE, floor.fit = "bayesglm",
> + 			floor.formula = ~ age + college + male + south)
> Error in ictreg(y ~ age + college + male + south, treat = "treat", J = 3,  : 
>   log-likelihood is not monotonically increasing.
>> 
>> summary(floor.results, boundary.proportions = T)
> Error in summary(floor.results, boundary.proportions = T) : 
>   object 'floor.results' not found
>> 
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