Changes in version 1.1.0 (2025-09-11)                  

A release improving stability and speed:

  - Vectorization of the function miss.glm.fit

  - Improve the stability of miss.glm.fit by catching infinity ratio

  - Catch some convergence issues of miss.glm.fit and raise appropriate
    error

  - Allow the use of regularization in the logistic regression, by using
    glmnet package

                 Changes in version 1.0.1 (2021-04-12)                  

A minor release mainly fixing bugs and typos and also serving for
authorized maintainer takeover:

  - Fix a bug in miss.lm.fit, the definition of p, the number of
    covariates, is now moved to the beginning of the function. A

  - Fix another bug in miss.lm.fit, replacing is(x, "data.frame") with
    !is(x, "matrix") to make the parameter consistency check also pass
    for a single observation in x.

  - Fix some typos in the descriptions of the functions for linear
    regression model.

  - Move mice package from imported to suggested packages.

  - Takeover of maintenance from Wei Jiang by Julie Josse, who was
    co-author of the package from the beginning.

                 Changes in version 1.0.0 (2020-07-05)                  

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.

                 Changes in version 0.9.2 (2019-12-19)                  

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).

                 Changes in version 0.9.1 (2019-01-15)                  

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.