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tbates committed Apr 2, 2017
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1 change: 1 addition & 0 deletions NEWS
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* *TIP*: In twin models, mzData and dzData can contain unused variables: These will be removed for you!
* NEW: umxVersion (returns mxVersion() + umx version)
* BUGFIX: install.OpenMx had a broken URL, now corrected.
* IMPROVED: install.OpenMx can now get UVA, latest travis(mac), or open travis page.
* IMPROVED: umx_make_TwinData
* Use variance input
* Option to set seed
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12 changes: 5 additions & 7 deletions README.md
Expand Up @@ -12,11 +12,10 @@ install.packages("umx")
library(umx)
?umx
```

The best way to learn what is on offer is to use the help ('?umx' works) and the online tutorial: [tbates.github.io](http://tbates.github.io)

umx stands for "user" OpenMx functions. umx contains over 100 functions which build on
[OpenMx](http://openmx.psyc.virginia.edu), and are designed to automate activities such as labelling, setting start values etc.,
and also provides umxRAM and umxPath functions that make [Structural Equation Modeling](http://en.wikipedia.org/wiki/Structural_equation_modeling) in R straightforward.
`umx` stands for "user" OpenMx functions. It provides over 100 functions from high-level umxRAM and umxPath functions that make [Structural Equation Modeling](http://en.wikipedia.org/wiki/Structural_equation_modeling) in R straightforward, to low-level functions to automate activities such as labelling, setting start values etc.,

Some highlights include:

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* `umxGetParameters(model, regex = "as_r_2c_[0-9]", free = T)` *# A powerful assistant to get labels from a model. like `omxGetParameters` but uses regular expressions.*
4. Twin modeling!
* `umxACE()` *# Twin ACE modeling with aplomb* paths are labeled! Works with `plot()` and `umxSummary`!
* `umxCP()`, `umxIP()`, `umxGxE()`, `umxCP()`…
* `umxCP()`, `umxIP()`, `umxGxE()`, `umxCP()`
* ![umxACE](https://github.com/tbates/umx/blob/master/man/figures/ACE.png)
5. Easy-to-remember options
* `umx_set_cores()`
* `umx_set_optimizer()`
6. Many more miscellaneous Helpers and smart expert helpers e.g.
6. Many more miscellaneous helpers e.g.
* `umx_time(model)` *# Report the time taken by a model in a compact programable format*
* `umxStart()` *# Add plausible start values to RAM or matrix models, or matrices: **very** helpful*
* `umxLabel()` *# Add systematic labels to paths ("var1_to_var2") and matrix cells ("a_r1c1"). This is great for setting, equating and dropping paths by label!*
* `umxHcor(data, use = "pairwise.complete.obs")` *# Compute appropriate pair-wise correlations for mixed data types.*

Dozens more (?umx to see them all). Check out the "family links" in any help file also!
* Dozens more (?umx to see them all). Check out the "family links" in any help file also!

Feel free to use, and submit code and requests via Github. Tell your friends! Publish more good science :-)

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10 changes: 4 additions & 6 deletions cran-comments.md
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## Changes
* Last submission gave an error on the incoming check machine
(but not on a win test box). I've changed the optimizer for that
example, and it should run everywhere now.
* Compatibility fixes with OpenMx new optimizer
* umx feature enhancements
* Check under 3.4.0
* Bug-fix in install.OpenMx
* Multiple enhancements

## Test environments
* OS X 10.12.4, R version 3.3.3
* Win (64-bit) R Under development (unstable) (2017-03-17 r72361)
* Win (64-bit) R Under development (3.4.0 alpha (2017-03-31 r72459)
* 64-bit Linux (Scientific Linux 6), R 3.3.3

## R CMD check results
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