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
andglm
for the case without missing values. -
Update misaem tutorial.
-
Update README.md.
-
Typos fixed.
A minor release mainly fixing bug:
- Replace
if (class(obj) == "data.frame") { ..... }
withif (is(obj, "data.frame")) { ..... }
. As within the formal S4 class system, a matrixobj
could well be of a class that extends matrix, such as "matrix" "array" (length = 2).
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.