Title: Scales Score Calculation from Quality of Life Data
Description: There are three functions: qol, miss_qol and miss_patient takes input of the data set containing the answers of QOL questionnaire. It will compute the three types of domain based scale scores: Global, Functional, and Symptoms. In case of missing data, the miss_qol and miss_patient functions will make the required changes and then calculate the domain-wise scale scores. Finally, provide an output replacing the question columns with the domain-based scale scores in the original data set.

Title: Analysis of Health-Related Quality of Life in Oncology
Description: To generate the scores of the EORTC QLQ-C30 questionnaire and supplementary modules and to determine the time to health-related quality of life score deterioration in longitudinal analysis.

Description: To generate the scores of the EORTC QLQ-C30 questionnaire <http://www.eortc.be/qol/files/SCManualQLQ-C30.pdf> and supplementary modules and to determine the time to health-related quality of life score deterioration in longitudinal analysis.

Title: Analysis of Health-Related Quality of Life in oncology
Description: To generate the scores of the EORTC QLQ-C30 questionnaire and supplementary modules and to determine the time to quality of life score deterioration in longitudinal analysis.

Title: Block Bootstrap Methods for Quantile Regression in Time Series
Description: Implements moving-blocks bootstrap and extended tapered-blocks bootstrap, as well as smooth versions of each, for quantile regression in time series. This package accompanies the paper: Gregory, K. B., Lahiri, S. N., & Nordman, D. J. (2018). A smooth block bootstrap for quantile regression with time series. The Annals of Statistics, 46(3), 1138-1166.

Imports: utils, grDevices, graphics, stats, MASS, quantreg, mice, boot
Description: This is a collection of functions for unconditional and conditional quantiles.

Description: This is a collection of functions for unconditional and conditional quantiles. These include methods for transformation-based quantile regression, quantile-based measures of location, scale and shape, methods for quantiles of discrete variables, quantile-based multiple imputation, and restricted quantile regression.