NEWS.md

In wjiang94/misaem: Linear Regression and Logistic Regression with Missing Covariates

misaem 1.0.0

A major release mainly update the follows:

• Add linear regression with missing values, see the function miss.lm.

• The main function for logistic regression is changed to miss.glm.

• The functions mimics the structure of widely used functions lm and glm for the case without missing values.

• Update misaem tutorial.

• Update README.md.

• Typos fixed.

misaem 0.9.2

A minor release mainly fixing bug:

• Replace if (class(obj) == "data.frame") { ..... } with if (is(obj, "data.frame")) { ..... }. As within the formal S4 class system, a matrix obj could well be of a class that extends matrix, such as "matrix" "array" (length = 2).

misaem 0.9.1

A minor release mainly fixing bugs and typos:

• Fix a bug in model_selection, now it can correctly perform model selection if the full model is the best model.

• In pred_saem, two methods for prediction of test set with missingness are provided.

• Fix some typos in the vignettes. The length of codes now fits the page wide of html.

• Delete unused Imports magrittr in DESCRIPTION file.

• Change the index of vignettes from 'SAEM' to 'misaem tutorial'.

• Update README.md.

wjiang94/misaem documentation built on July 10, 2020, 10:51 a.m.