Comments (3)
helske
commented on August 20, 2024
To be honest I have no idea why there is that kind of check in the codes. D can be zero for some states, and even nanin case of numerical issues, but I don't really remember why I have used that extra guard against small values of D.
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helske
commented on August 20, 2024
I now added an argument called zerotol for rstandard function which you can use to define new tolerance parameter instead of sqrt(machine epsilon). By default, this is now 0. Let me know if you still see some issues.
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Figuera
commented on August 20, 2024
Very fast response, I think that will do, thank you.
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Related Issues (20)
- Handle intercepts in the model HOT 6
- Model non-gaussian multivariate outcome HOT 5
- Positive log likelihood for Poisson and Binomial distribution HOT 5
- How to predict more time series HOT 1
- Wrong convergence without warnings or errors HOT 15
- Requesting State Offset Term or Control Input specification HOT 2
- KFS function HOT 4
- Change .f95 suffix to .f90 HOT 1
- Exact diffuse intialisation HOT 3
- Exogenous variable
- Documentation: "more complex model" example HOT 2
- Returning Importance Samples in predict.SSModel HOT 3
- How to extract time varying coefficients and CIs corresponding to each variable in SSMregression HOT 2
- How to extract the overdispersion parameters in regression models assuming negative binomial distribution HOT 7
- Poor time variability of time-varying regression coefficients and Inconsistency of param estimates among methods in fitSSM HOT 9
- Standardized residuals HOT 6
- Difficulty with setting a1 and P1 when using SSMseasonal and reduced number of harmonics HOT 1
- Question building an Ar(2) model HOT 6
- same Log Likelihood of different SSModel HOT 6
- Kalman filter HOT 1
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