NEWS

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mvord 1.2.5 (2024-08-30)

• added Authors@R
• fixed example 3 in vignette_mvord2.Rmd
• in marginal_predict(), predict() and joint_probabilities() newdata can now contain no response variable;
• adjusted docu for joint_probabilities()

mvord 1.2.4 (2024-07-07)

• change handling of data argument to work also with tibbles

mvord 1.2.3

• fixed bug in transf_thresholds_fixall

mvord 1.2.2 (2024-02-27)

• changed maintainer

mvord 1.2.1 (2024-01-13)

• fixed bugs from the change NCOL(NULL) returns 0 rather than 1

mvord 1.2.0

• added essay_data to mvord datasets
• added a combis argument in mvord.control which allows the specification of the combinations to be used, if user does not want to use all.
• for logit link replaced mnormt::sadmvt with mvtnorm::pmvt. Function sadmvt cannot not handle dimension larger than d=20
• fixed bug for standard error when threshold.coef are e.g., rep(1:3, 3).

mvord 1.1.1 (2021-03-17)

• fixed bug for value0 with cor_ar1

mvord 1.1.0 (2020-11-17)

• speed up in PL_fun - minimal changes in the 10+ decimal places for some specific lead to minimal deviations in the optimization results of the general purpose optimizers. In some cases more evaluation steps are needed.
• implementation of PL_fast
• fixed bug in vector constraints for coef

mvord 1.0.2

• fixed bug in prediction with categorial variables with newdata

mvord 1.0.1 (2020-05-28)

• changes in checks due to new treatment when combining ordered factors in R 4.0.1.

mvord 1.0.0 (2020-04-17)

• publication in Journal of Statistical Software

mvord 0.3.6 (2019-09-22)

• fixed bug in thresholds checks for two binary responses

mvord 0.3.5 (2019-03-06)

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

mvord 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

mvord 0.3.3 (2018-10-31)

• fixed bug standard errors with threshold.constraints

mvord 0.3.2 (2018-10-03)

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

mvord 0.3.1 (2018-06-12)

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

mvord 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())

mvord 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

mvord 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()

mvord 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