Download data from individual XKCD comics, written by Randall Munroe <https://xkcd.com/>.

An R interface to the 'OpenPyXL' 'Python' library to create 
  native 'Excel' charts and work with Microsoft 'Excel' files.

Provides comprehensive functionality to read, write and format Excel data.

Parse entire folders of non-rectangular 'xlsx' files into a single
  rectangular and tidy 'data.frame' based on a custom template file defining the 
  column names of the output.

The expression of X-chromosome undergoes three possible biological processes: X-chromosome
             inactivation (XCI), escape of the X-chromosome inactivation (XCI-E),and skewed X-chromosome                    
             inactivation (XCI-S). To analyze the X-linked genetic association for phenotype such as                         
             continuous, binary, and time-to-event outcomes with the actual process unknown, we propose a unified            
             approach of maximizing the likelihood or partial likelihood over all of the potential biological             
             processes. The methods are described in Wei Xu, Meiling Hao (2017) <doi:10.1002/gepi.22097>. And 
             also see Dongxiao Han, Meiling Hao, Lianqiang Qu, Wei Xu (2019) <doi:10.1177/0962280219859037>.

Provides a tool for non linear mapping (non linear regression) using a mixture of regression model and an inverse regression strategy. The methods include the GLLiM model (see Deleforge et al (2015) <DOI:10.1007/s11222-014-9461-5>) based on Gaussian mixtures and a robust version of GLLiM, named SLLiM (see Perthame et al (2016) <DOI:10.1016/j.jmva.2017.09.009>) based on a mixture of Generalized Student distributions. The methods also include BLLiM (see Devijver et al (2017) <arXiv:1701.07899>) which is an extension of GLLiM with a sparse block diagonal structure for large covariance matrices (particularly interesting for transcriptomic data).

Given the date column as an ascending entry, future errors are included in the sum of squares of error that should be minimized based on the number of steps and weights you determine. Thus, it is prevented that the variables affect each other's coefficients unrealistically.