Lag-sequential analysis is a method of assessing of patterns (what tends to 
        follow what?) in sequences of codes. The codes are typically for discrete 
        behaviors or states. The functions in this package read a stream of codes,
        or a frequency transition matrix, and produce a variety of lag sequential  
        statistics, including transitional frequencies, expected transitional frequencies, 
        transitional probabilities, z values, adjusted residuals, Yule's Q values, 
        likelihood ratio tests of stationarity across time and homogeneity across groups 
        or segments, transformed kappas for unidirectional dependence, bidirectional 
        dependence, parallel and nonparallel dominance, and significance levels based on 
        both parametric and randomization tests. The methods are described in
  Bakeman & Quera (2011) <doi:10.1017/CBO9781139017343>,
  O'Connor (1999) <doi:10.3758/BF03200753>,
  Wampold & Margolin (1982) <doi:10.1037/0033-2909.92.3.755>, and
  Wampold (1995, ISBN:0-89391-919-5).

Provides the tables from the 'Sean Lahman Baseball Database' as
    a set of R data.frames. It uses the data on pitching, hitting and fielding
    performance and other tables from 1871 through 2023, as recorded in the 2024
    version of the database. Documentation examples show how many baseball
    questions can be investigated.

Convert Leaf Area Index (LAI) from the Normalized Difference Vegetation Index (NDVI) using available equations from literature. 
    Detailed description of conversion equations in Bajocco et al. 2022 <doi:10.3390/rs14153554>.

A collection of tools for the calculation of freewater metabolism
    from in situ time series of dissolved oxygen, water temperature, and,
    optionally, additional environmental variables. LakeMetabolizer implements
    5 different metabolism models with diverse statistical underpinnings:
    bookkeeping, ordinary least squares, maximum likelihood, Kalman filter,
    and Bayesian. Each of these 5 metabolism models can be combined with
    1 of 7 models for computing the coefficient of gas exchange across the
    air–water interface (k). LakeMetabolizer also features a variety of
    supporting functions that compute conversions and implement calculations
    commonly applied to raw data prior to estimating metabolism (e.g., oxygen
    saturation and optical conversion models).