v1.59 - patch for rstan 2.10.1

- Brings map2stan up to date with syntax changes in rstan 2.10.1. Now
requires rstan 2.10.0 or greater. See changes to R/map2stan-templates.r
if curious about internal syntax changes. Older Stan code will still
function, but will throw deprecation warnings.
- A book errata file is now included: ERRATA.md
- A few documentation fixes
- Adjusted namespace and added manually constructed generics
(R/aa_generics.r) to hopefully fix the odd issues with plot methods
that some people have had. I still can’t repeat the issue myself, so
flying blind. Sorry.
- fixed an unusual variable name bug with glimmer()
- fixed an issue with negative bounds in uniform densities and map2stan.

1.58 - Book release drum beat

Various tuning adjustments, and one feature addition in this version.

Feature:
- coerce_index now works with multiple columns. See ?coerce_index for
details.

Tuning:
- simplehist much more efficient now
- add stancode method for stanfit objects
- map2stan uses rstan's own multicore code now, instead of my
implementation. Should be equivalent, but produces less Terminal spam
now.
- Various documentation edits.

1.57 - fixes and features / 1.6 candidate

- added Vehtari’s Pareto smoothed LOO comparison metric, available with
LOO(), and can be used with compare(…,func=LOO)
- map2stan gracefully accepts previous fits now and resamples without
recompiling. resample() deprecated.
- better approach to sampling inits for multiple chains
- fixed map2stan so compatible with rstan 2.8 (refresh bug)
- bug fix for link() and sim() with dordlogit models
- added WAIC method for raw stanfit objects that include log_lik
matrix. See example in ?WAIC.

Version 1.56

- a bunch of edits to man pages
- added a logit function for convenience
- uniform priors in map2stan work via constaints now and are commented
out in the model block, where they would be redundant
- added automatic positive constraints for scale paramters in
dbetabinom, dgampois, dgamma2
- fixed a subtle bug with WAIC calculations for map2stan models using
imputation
- Added quick installation section to README

1.55 - Non-centered parameterizations

- added dmvnormNC density for map2stan, automating non-centered
adaptive priors for multilevel models, using Cholesky factors
internally. This can substantially speed up sampling for many
multilevel models. See example in README.
- added a dashboard() function for checking all diagnostics on a
map2stan or Stan model fit
- added a lognormal template for map2stan: dlnorm in R, lognormal in
Stan
- trace plot grids now default to 3 columns

1.54 - Titanic Iceberg

- bugfix for map2stan imputation combined with certain kinds of varying
effects. Added a test for this.
- man pages for pairs.map2stan and plot.map2stan
- plot.map2stan (trace plots) now recognize n_cols and max_rows
arguments for arranging plot grid
- WAIC method for map2stan defaults to use all non-warmup samples
returned by Stan

1.53 - Struwen Day Edition

- man page for dlkjcorr
- added rlkjcorr function (Ben's code)
- ensemble optionally ignores link or sim
- map() now catches another corner case in linear model definitions
- map2stan plot() method for traceplots now has window and n_cols
arguments
- added divergent(), which counts number of divergent iteration in
map2stan fit. Automatically warns user.
- map2stan better handles missing values in outcome variables. Working
towards automatic prediction interface through this method.
- some file rearrangement for sanity
- precis() checks and warns about divergent iterations
- minor updates to README

v1.52 candidate

- lots of man page updates
- compare() checks nobs and model classes now; warns when not all equal
- added R versions of dmvnorm2 and rmvnorm2
- map2stan() understands cores argument now and automatically
parallelizes chains. not yet tested on Windows.
- precis(), PI(), HPDI() default to 89% intervals now
-

1.52 candidate 3

- might have fixed Windows parallel chains now

1.52 candidate 2

- trying to fix parallelized chains on Windows