merlin used to be called
megenreg… I’m sure everyone (except Tim Morris…he was a
forge fan) will agree
merlin is a better name. I’m planning T-shirts…
merlin stands for Mixed Effects Regression for LInear and Non-linear models.
merlin can fit multivariate
outcome models of any type, each of which could be repeatedly measured (panel/longitudinal), with any number of levels, and with any number of random effects at each level. Standard distributions/models available include the Bernoulli, beta, gamma, Gaussian, linear quantile, negative binomial, ordinal, Poisson, and time-to-event/survival models include the exponential, gompertz, splines on the log hazard scale, Royston-Parmar, and Weibull.
merlin provides a flexible predictor syntax, allowing the user to define variables, random effects, spline and fractional polynomial functions, functions of other outcome models, and any interaction of them. Non-linear and time-dependent effects are seemlessly incorporated into the predictor.
merlin allows level-specific random effect distributions, either multivariate normal or $t$, which are integrated out using either Gaussian quadrature or Monte-Carlo integration.
merlin version 1.0.0 is now released
The development version is now up on my website, and you can install it by typing:
net install merlin, from("https://www.mjcrowther.co.uk/code/merlin")
It’ll be on SSC very soon as well, and when it is, I recommend you uninstall the development version, and install the SSC version instead. Development updates will be pushed to my website first.
All of the tutorials on the accompanying
merlin pages have been updated.
There are some big changes and improvements:
- syntax re-write ->
megenregused to require naming parameters through
@namenotation, when anything more complicated than a
varnamewas specified in the complex predictor, now
@is only required when specifiying a constraint on a parameter, such as
M1[id]@1when specifying a random intercept. This is much more consistent with
gsem, and a lot more convenient.
- syntax re-write ->
rcs(varname, ...)now take a variable input to specify fractional polynomial and restricted cubic spline elements. Before,
rcs()elements could only be used with
timevar()for time-dependent effects. Now they can be used with any variable, but if
varnamematches with that in
timevar()then time-dependent effects are automatically handled.
offset()has also been added as an option of both
- interactions between
rcs()elements etc. are now allowed
- predictions have (finally) been added -> currently supporting
fixedonlywhich calculates predictions based only on the fixed effects, and
marginalwhich calculates predictions by marginalising over the random effects. Available predictions include the expected value of an outcome, the expected value of a complex predictor, the hazard function, the cumulative hazard function, the survival function, and restricted mean survival time. Lots more to add. Predictions can be made
at()specified covariate patterns, and at user-specified times using a
EVnotation now corresponds to the expected value of a response, whereas before it corresponded to the expected value of each model’s complex predictor - which has been replaced with
- random effect names in the complex syntax must now start with a capital
- all help files updated, including documenting all utility functions for use in
- results table substantially improved
Error checks and bug fixes:
- bug fix with if statements
- error check added for . notation or ## in a complex predictor, as they are not supported
There’s a lot more to come from