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Rchoice News

CHANGES IN VERSION 0.3-6

NEW FEATURES

• Adding the Hessian to ivplm.

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

CHANGES IN VERSION 0.3-5

NEW FEATURES

• New urls in Description.

• New README.

• New methods for effect.

• Improved documentation.

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

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

CHANGES IN VERSION 0.3-4

NEW FEATURES

• Fixing bug with mtable.

CHANGES IN VERSION 0.3-3

NEW FEATURES

• Add hetprob function to estimate heterokedastic binary models.

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

• Fix minor bug in themodel.frame.rFormula function with new update ofplm.

• Slightly improved documentation.

CHANGES IN VERSION 0.3-2

NEW FEATURES

• Fixing errors and warnings

CHANGES IN VERSION 0.3-1

NEW FEATURES

• Including CITATION

CHANGES IN VERSION 0.3

FIXED BUGS

• fixed minor bug in themodel.frame.rFormula function when the id variable is specified usingpdata.frame function

NEW FEATURES

• the package not longer includes a vignette. The documentation can be dowloaded athttp://msarrias.weebly.com/rchoice-package-in-r.html

• fix some notes regarding to the AIC and BIC methods

• statistic insummary is now labeled as z-value instead of t-value

• cov.Rchoice,cor.Rchoice andse.cov.Rchoice functions are now deprecated. All these functions are now available in the generic functionvcov

• slightly improved documentation

CHANGES IN VERSION 0.2

NEW FEATURES

• panel data or longitudinal data is now allow

• added the functionse.cov.Rchoice to compute the standard error of the variance-covariance matrix of random parameters

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

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

• added therFormula and related functions

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

• slightly improved documentation