updated news with correct release highlights

Author: jhelvy

DESCRIPTION

@@ -1,7 +1,7 @@
 Package: logitr
 Title: Random utility logit models with preference and willingness to pay space parameterizations
-Date: 2020-10-30
-Version: 1.2.0
+Date: 2020-12-04
+Version: 0.0.4
 Authors@R: c(
     person(given   = "John",
            family  = "Helveston",

NEWS.md

@@ -1,4 +1,4 @@
-# logitr 1.2.0
+# logitr 0.0.3: New simulation functionality
 
 ## Summary of larger updates:
 
@@ -8,3 +8,36 @@
 ## Summary of smaller updates:
 
 * Updated the `summary()` and main `logitr()` functions to keep the basic information (run #, log-likelihood value, number of iterations, and output status) whenever `numMultistarts` > 1.  Previously this information was only kept if `keepAllRuns` was set to `TRUE`.
+
+
+
+# logitr 0.0.2: Updates to options and a few small bug fixes
+
+## Summary of larger updates:
+
+- I got rid of the `logitr.summary()` function and instead added the `logitr` class to all the models and renamed the summary function to `summary.logitr()`. Now you can just use the standard `summary()` function to summarize model results.
+- I finally fixed the analytic gradient for WTP space MXL models. I tested analytic versus numeric for WTP space and Preference Space MXL models and they are all identical, including variations of using normally and log-normally distributed parameters.
+- Added startParBounds as an argument in options.
+
+## Smaller updates:
+
+- Changed the summary() function to print more digits in the
+summary table.
+- Rounded printing of the elapsed time in the summary table.
+- Forced the sigma values in MXL models to be positive using abs(). Negative values for sigma parameters should not be an issue because the standard normal is symmetric.
+- Changed the summary of random parameters to show "summary of 10k draws"
+- Updated hessian to always use numeric approx for SE calculation since it's faster.
+- Made scaleInputs default to `TRUE`.
+
+## Bugs fixed:
+
+- If the prefSpaceModel was a multistart, it was grabbing the correct
+bestModel for the WTP calculations, but not the logLik value. Now it's
+getting the right logLik value too.
+- Fixed a bug with the scaling option where it was blowing up to use scaling numbers.
+
+
+
+# logitr 0.0.1: Full reboot of logitr!
+
+Long overdue, I decided to give the logitr program a full overhaul. This is the first version that is compiled as a proper R package that can be directly installed from Github. This version is much more robust and flexible than the prior, clunky collection of R files that I had previously been using to estimate logit models.