Comments (2)
So it sounds like you had three sessions of data. For less than 5 sessions, if I recall correctly, only a constant model is fit. This is hardcoded in the fortran source code. For such a small number of sessions it's not clear that a more complicated model is a good idea.
Oh, you know what I should do-- I should just add a warning to let people know when that happens.
Anyway, yes, you can get higher resolution coordinates. One approach would be to split the votes into more sessions. Another approach is interpolation-- the coordinates are just a polynomial fit to the session numbers (usually constant or linear), so interpolating is straightforward and valid and may or may not be valid, depending on the application. If you want a more flexible trajectory type, you'd have to look at some alternative methods like MQ scores for example
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Thanks! Thats great! I'll try splitting the data into shorter session and I'll look into Martin-Quinn scores too. Seems like there is a C++ reference implementation for it.
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Related Issues (20)
- Segfault with more than 111 sessions
- Can't reproduce official DW-NOMINATE scores HOT 5
- Fortran shouldn't write to stdout HOT 1
- segfault in dwnominate on Mac OS HOT 19
- Major Error 20 HOT 1
- Fortran errors aren't passed to R HOT 3
- Weights Parameter Output HOT 4
- Need more explanation of starting estimates
- Build broken on Windows HOT 12
- Error: NAs in foreign function call (arg 14) HOT 11
- No license for DW-NOMINATE.FOR HOT 1
- Installation fails on Mac (gfortran problem) HOT 3
- Problem with polarity HOT 1
- Issue with installation HOT 2
- Rewrite DW-NOMINATE in R HOT 2
- FAQ disappeared from the website
- Remove extra lapack dependency on Windows
- BLAS/LAPACK routine 'DSYEV DORGLQRowwiseD' gave error code -5
- Dependency basicspace was removed from CRAN HOT 1
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