Create rich command line applications, with colors, headings,
    lists, alerts, progress bars, etc. It uses CSS for custom themes.
    This package is now superseded by the 'cli' package. Please use 'cli'
    instead in new projects.

Designed for web usage data analysis, it implements tools to process web sequences and identify web browsing profiles through sequential classification. Sequences' clusters are identified by using a model-based approach, specifically mixture of discrete time first-order Markov models for categorical web sequences. A Bayesian approach is used to estimate model parameters and identify sequences classification as proposed by Fruehwirth-Schnatter and Pamminger (2010) <doi:10.1214/10-BA606>.

Clustering categorical sequences by means of finite mixtures with Markov model components is the main utility of ClickClust. The package also allows detecting blocks of equivalent states by forward and backward state selection procedures.

Provides an expectation maximization (EM) algorithm to fit a mixture of continuous time Markov models for use with clickstream or other sequence type data. Gallaugher, M.P.B and McNicholas, P.D. (2018) <arXiv:1802.04849>.

'ClickHouse' (<https://clickhouse.com/>)
   is an open-source, high performance columnar
   OLAP (online analytical processing of queries) database management system
   for real-time analytics using SQL. This 'DBI' backend
   relies on the 'ClickHouse' HTTP interface and support HTTPS protocol.

Tools for assessing data quality, performing exploratory analysis, and 
    semi-automatic preprocessing of messy data with change tracking for integral dataset cleaning.

A set of tools to read, analyze and write lists of click sequences
    on websites (i.e., clickstream). A click can be represented by a number,
    character or string. Clickstreams can be modeled as zero- (only computes
    occurrence probabilities), first- or higher-order Markov chains.

This data package contains monthly climate data in Germany, it can be used for heating and 
    cooling calculations (external temperature, heating / cooling days, solar radiation).