News

This file documents updates and changes in the package mvord

changes in version 0.3.5 (2019-03-06)

• added suppressWarnings(RNGversion("3.5.0")) in tests

changes in version 0.3.4 (2019-02-20)

• two additional arguments have been added to the error structures: value = numeric(0) (for initial values) and fixed = FALSE (for allowing the user to fix the parameters of the error structure to the values specified in argument value)
• efficiency improvements by using rep.int, paste0, seq_len, seq_along where possible

changes in version 0.3.3 (2018-10-30)

• fixed bug standard errors with threshold.constraints

changes in version 0.3.2 (2018-10-03)

• function polycor() for polychoric correlations is now available
• added packages minqa, BB, ucminf and dfoptim as dependencies

changes in version 0.3.1 (2018-06-12)

• out-of-sample predictions are now available
• additional examples are now available in an additional vignette

changes in version 0.3.0 (2018-05-03)

• new model design with multiple measurement objects MMO and MMO2 (former mvord2())
• removed function mvord2()
• removed argument scale (covariates are scaled internally for optimizer)
• fixed bug in standard errors with binary outcomes
• removed argument response.names (if specific ordering is desired this can be performed by an ordered factor for the multiple measurement index)
• additional input types are now applicable for ordinal response variables
• fixed bug trace
• control = mvord.control()
• additional checks
• new function name marginal_predict() (instead of marginal.predict())
• new function name joint_probabilities() (instead of get.prob()); type "class" instead of "class.max"
• new function name error_structure() (instead of get_error_struct())

changes in version 0.2.1 (2017-11-29)

• adapted predict(), get.prob(), marginal.predict()
• added contrasts as argument to mvord() and mvord2()
• fixed bug in VGAM design of coef.constraints
• changed internal design matrices

changes in version 0.2.0 (2017-11-10)

• implemented nobs.mvord()
• implemented vcov.mvord()
• implemented terms.mvord()
• implemented model.matrix.mvord()
• implemented fitted.mvord()
• implemented logLik.mvord()
• AIC() and BIC() are now available
• additional argument scale
• new (additional) design for coef.constraints in analogy to constraints in VGAM
• category-specific regression parameters
• additional argument offset
• new class "mvlink"
• implemented coef.constraints()
• logPL(), claic() and clbic() are not exported anymore. use logLik(), AIC() and BIC() instead.
• renamed cor_general, cor_ar1, cor_equi, cov_general
• implemented names_constraints()

changes in version 0.1.0 (2017-10-17)

• changed function name from multord() to mvord()
• changed function name from multord2() to mvord2()
• implemented predict function()
• implemented predict.marginal function()
• implemented get.prob function()
• changed link probit to mvprobit()
• changed link logit to mvlogit(df = 8L); default value of degrees of freedom is 8
• implemented a more flexible multivariate logistic distribution with logistic marginals and t copula (df are settable)
• additional argument PL.lag

Reference manual