Changes in version 0.3-6 (2023-03-10)                  

NEW FEATURES

    o   Adding the Hessian to ivplm.

    o   Fixing bug with the LR test in "hetprob()"

                 Changes in version 0.3-5 (2022-04-20)                  

NEW FEATURES

    o   New urls in Description.

    o   New README.

    o   New methods for effect.

    o   Improved documentation.

    o   AIC and BIC for different classes are dropped. We just need
	"logLik()".

    o   Changing the behavior of set.seed as a good practice.

                 Changes in version 0.3-4 (2022-03-15)                  

NEW FEATURES

    o   Fixing bug with mtable.

                 Changes in version 0.3-3 (2021-07-22)                  

NEW FEATURES

    o   Add hetprob function to estimate heterokedastic binary models.

    o   Add ivplm function to estimatate instrumental variables probit
	model by Maximum Likelihood.

    o   Fix minor bug in the model.frame.rFormula function with new
	update of plm.

    o   Slightly improved documentation.

                 Changes in version 0.3-2 (2020-05-27)                  

NEW FEATURES

    o   Fixing errors and warnings

                 Changes in version 0.3-1 (2016-10-17)                  

NEW FEATURES

    o   Including CITATION

                  Changes in version 0.3 (2015-04-30)                   

FIXED BUGS

    o   fixed minor bug in the model.frame.rFormula function when the
	id variable is specified using pdata.frame function

NEW FEATURES

    o   the package not longer includes a vignette. The documentation
	can be dowloaded at
	<http://msarrias.weebly.com/rchoice-package-in-r.html>

    o   fix some notes regarding to the AIC and BIC methods

    o   statistic in summary is now labeled as z-value instead of
	t-value

    o   cov.Rchoice, cor.Rchoice and se.cov.Rchoice functions are now
	deprecated. All these functions are now available in the
	generic function vcov

    o   slightly improved documentation

                  Changes in version 0.2 (2014-12-17)                   

NEW FEATURES

    o   panel data or longitudinal data is now allow

    o   added the function se.cov.Rchoice to compute the standard error
	of the variance-covariance matrix of random parameters

    o   more flexibility to model hirarchical variables. The argument
	mvar can be used to choose which variables enter in the mean of
	the random parameters.

    o   added the Johnson's Sb function for random parameters.

    o   added the rFormula and related functions

    o   initial values for standard deviation of random parameters are
	set to 0.1. Previously was 0. The argument init.ran can be used
	to set the initial values. For example init.ran = 0 will set
	all the initial values for the standard deviation paramters at
	0

    o   slightly improved documentation