NEWS.md

In inbo/multimput: Using Multiple Imputation to Address Missing Data

multimput 0.2.13

• aggregate_impute() handles the corner case when join results in an empty dataset.
• The model_fun argument of model_impute() can be either a function or a string containing the name of a function (like "glm"). Include the package name in case the function is not available in base R (like "INLA::inla").

multimput 0.2.12

• impute() gains an extra argument. Use it for observations not in the model that you still want to add in the follow-up analysis. For example: exclude rare observations from the model but you want them in the aggregations.
• impute() on INLA models now also handles the binomial, the zero-inflated Poison (type 0 and 1) and the zero-inflated negative binomial (type 0 and 1) distributions.
• Add hurdle_impute() to fit a hurdle model based on a model of the presences and a model of the counts.
• Added validation rules for rawImputed and aggregatedImputed objects.
• Update checklist infrastructure.

multimput 0.2.11

• Vignette runs without INLA. Required to make the package build on https://inbo.r-universe.dev

multimput 0.2.10

• Use checklist infrastructure.

multimput 0.2.7.9000

• aggregate_impute() now also works on aggregatedImputed objects (#34)

inbo/multimput documentation built on Sept. 17, 2023, 4:35 a.m.