Title: A package to estimate posterior probabilities and perform model
selection in change-point models using constrained HMM.
function. Model selection may be performed using function
postCPmodelsel through criteria obtained from function

Maintainer: The Minh Luong <luongtm@yahoo.com>

Maintainer: The Minh Luong <theminh.luong@clinepi.mcgill.ca>
Description: The functions are used for change-point problems, after an initial set of change-points within the data has already been obtained. The function postCP obtains estimates of posterior probabilities of change-point and hidden states for each observation, and confidence intervals for the positions of the change-point. The function postCPsample obtains random samples of sets of change-points using the output of the postCP function. Model selection may be performed using function postCPmodelsel through criteria obtained from function postCPcrit.

Title: Post Double Selection with Double Machine Learning
Description: Implements post double selection using double machine learning,
see Chernozhukov, Chetverikov, Demirer, Duflo,
for various models, using several back ends. Allows the user flexibility
in specifying their own methods for estimation.
Imports: glmnet, grf, neuralnet, progress, ggplot2, stats, parallel,

Title: Data Processing after Running 'GGIR' for Accelerometer Data
Description: Generate all necessary R/Rmd/shell files for data processing after running 'GGIR' (v2.0) for accelerometer data. In part 1, all csv files in the GGIR output directory were read, transformed and then merged. In part 2, the GGIR output files were checked and summarized in one excel sheet. In part 3, the merged data was cleaned according to the number of valid hours on each night and the number of valid days for each subject. In part 4, the cleaned activity data was imputed by the average Euclidean norm minus one (ENMO) over all the valid days for each subject. Finally, a comprehensive report of data processing was created using Rmarkdown, and the report includes few exploratory plots and multiple commonly used features extracted from minute level actigraphy data.
ineq, cosinor, abind, accelerometry, minpack.lm, kableExtra,