Interface to the Google Cloud Machine Learning Platform
  <https://cloud.google.com/vertex-ai>, which provides cloud tools for training machine
  learning models.

Interacts with the 'Lifebit' Platform Cohort Browser 'API'
    <https://cloudos.lifebit.ai>. Enables schema discovery, table exploration,
    and read-only 'SQL' query execution with policy-aware behavior and team-based
    access control for cohort data analysis. Requires bastion-enabled workspaces
    for 'API' access.

Access Cloudstor via their WebDAV API. This package can read, write, and navigate Cloudstor from R.

Provides means of plots for comparing utilization data of compute systems.

Computes the uniform rate of profit, the vector of price of 
    production and the vector of direct prices; and also compute measures of deviation 
    between market prices, direct prices and prices of production.  
    <doi:10.1016/j.strueco.2026.03.009>. You provide the  
    input-output data and 'clptheory' does the calculations for you.

A new methodology for linear regression with both curve response 
    and curve regressors, which is described in Cho, Goude, Brossat and Yao 
    (2013) <doi:10.1080/01621459.2012.722900> and (2015) 
    <doi:10.1007/978-3-319-18732-7_3>. The key idea behind this methodology is 
    dimension reduction based on a singular value decomposition in a Hilbert 
    space, which reduces the curve regression problem to several scalar linear 
    regression problems.

Provides tools for fitting, assessing, and comparing logistic
  and conditional logistic regression models. Includes residual diagnostics
  and goodness of fit measures for model development and evaluation in
  matched case control studies.

Calculations of "EP15-A3 document. A manual for user verification of precision and estimation of bias" CLSI (2014, ISBN:1-56238-966-1).

Central limit theorem experiments presented by data frames or plots. Functions include generating theoretical sample space, corresponding probability, and simulated results as well.