msDiaLogue 0.0.4

• For imputation, separate all options into individual functions, add impute.mice_cart(), impute.mice_norm(), impute.pca_bayes() and impute.pca_prob().
• Use autoglobal.
• preprocessing(): add the hist for raw data; fix colnames.
• filterOutIN(): fix regex.
• visualize(): fix the point shape in the legend (ggrepel).
• analyze(): fix the factor level consistent with the input.
• Rewrite trimFASTA().
• Drop R.FileName in all functions
• Add preprocessing_scaffold().
• Revise filterProtein() to make it compatible with Scaffold.
• Add note css.

msDiaLogue 0.0.3

• For impute(), add options for "knn", "seq-knn", "trunc-knn" and "nuc-norm".
• Add filterProtein().
• For visualize(), add support for "Upset".

msDiaLogue 0.0.2

• Add moderated t-test in analyze().
• dataMissing(): Calculate the count of missing data.
• Revise normalize() to ensure compatibility with missing values (NAs) during the normalization process before proceeding with imputation.
• Revise summarize() to create a comprehensive descriptive summary.
• Rewrite visualize() and add some graphType related to PCA.
• Update and smooth the entire package.
• Build the website.

msDiaLogue 0.0.1

Demonstrating filter out in regular expressions, add todo comment on …

…a key