Thanks to Kit Baum, merlin has been updated to version 1.0.7 on SSC. Please use adoupdate to update.
merlin can do a lot of things. From simple stuff, like fitting a linear regression or a Weibull survival model, to a three-level logistic mixed effects model, or a multivariate joint model of multiple longitudinal outcomes (of different types) and a recurrent event and survival with non-linear effects…the list is rather endless. merlin can do things I haven’t even thought of yet.
Updates include:
A good starting place to learn about merlin is to read the preprint of a paper submitted to the Stata Journal, which can be found here.
Thanks,
Michael
merlin can do a lot of things. From simple stuff, like fitting a linear regression or a Weibull survival model, to a three-level logistic mixed effects model, or a multivariate joint model of multiple longitudinal outcomes (of different types) and a recurrent event and survival with non-linear effects…the list is rather endless. merlin can do things I haven’t even thought of yet.
Updates include:
- added error check for presence of * in predictor
- bug introduced in 1.0.6 stopped matching of timevar() with rcs() input variable; now fixed
- error check on . caused merlin to error out when specifying decimal points in knots(); now fixed
- previously undocumented random option is now documented - draws starting values from a U(0,1) distribution
- chazard and survival predictions missing for family(exp); now added
- note added to end of results table that baseline splines not shown when fitting a rp or rcs model
- when specifying only a random slope with no random intercept - an internal parsing error occurred; now fixed.
- ltruncated() added for delayed-entry/left-truncation in survival models. In models with random effects, the likelihood is divided through by the marginal survival function at the entry time, which results in a second set of numerical integration.
- bs() element added for B-spline functions. Note; if you try and predict outside the range of the boundary knots, the spline function is set to 0 i.e. extrapolation outside the range of your data is not currently supported, and no warning is given if you do this.
- minor edit to step size in numerical differentiation used in d?[] elements
- mf() displayed function name left over from development; now removed
- more error checks added
- bug fixes
A good starting place to learn about merlin is to read the preprint of a paper submitted to the Stata Journal, which can be found here.
Thanks,
Michael
