Summarizes characteristics of linear mixed effects models without 
    data or a fitted model by converting code for fitting lmer() from 'lme4' 
    and lme() from 'nlme' into tables, equations, and visuals. Outputs can be 
    used to learn how to fit linear mixed effects models in 'R' and to 
    communicate about these models in presentations, manuscripts, and analysis 
    plans.

Calculates cost surfaces based on slope to be used when modelling pathways and movement potential within a landscape (Lewis, 2021) <doi:10.1007/s10816-021-09522-w>.

A set of all-cause and cause-specific life expectancy sensitivity and decomposition methods, including Arriaga (1984) <doi:10.2307/2061029>, others documented by Ponnapalli (2005) <doi:10.4054/DemRes.2005.12.7>, lifetable, numerical, and other algorithmic approaches such as Horiuchi et al (2008) <doi:10.1353/dem.0.0033>, or Andreev et al (2002) <doi:10.4054/DemRes.2002.7.14>.

Utilities for querying plain text accounting files from 'Ledger', 'HLedger', and 'Beancount'.

An educational package for teaching statistics and mathematics in both primary and higher education. The objective is to assist in the teaching/learning process, both for student study planning and teacher teaching strategies. The leem package aims to provide, in a simple yet in-depth manner, knowledge of statistics and mathematics to anyone who wants to study these areas of knowledge.

Complete analytical environment for the construction and analysis
             of matrix population models and integral projection models.
             Includes the ability to construct historical matrices, which are
             2d matrices comprising 3 consecutive times of demographic
             information. Estimates both raw and function-based forms of
             historical and standard ahistorical matrices. It also estimates
             function-based age-by-stage matrices and raw and function-based
             Leslie matrices.

A 'ggplot2' extension that focusses on expanding the
    plotter's arsenal of guides. Guides in 'ggplot2' include axes and
    legends. 'legendry' offers new axes and annotation options, as well as
    new legends and colour displays.