A suite of functions for reading in a rate file in XML format, 
    stratify a cohort, and calculate 'SMRs' from the stratified cohort and rate file.

Curated datasets from US Long Term Ecological Research sites.

Allows identification of palettes derived from LTER (Long Term Ecological Research) 
   photographs based on user criteria.
   Also facilitates extraction of palettes from users' photos directly.

Set of the data science tools created by various members of the Long Term 
    Ecological Research (LTER) community. These functions were initially written largely 
    as standalone operations and have later been aggregated into this package.

Implementation of LT-FH++, an extension of
    the liability threshold family history (LT-FH) model.
    LT-FH++ uses a Gibbs sampler for sampling from the truncated 
    multivariate normal distribution and allows for 
    flexible family structures. LT-FH++ was first described in 
    Pedersen, Emil M., et al. (2022) 
    <https://pure.au.dk/ws/portalfiles/portal/353346245/> 
    as an extension to LT-FH with more flexible family structures, 
    and again as the age-dependent liability threshold (ADuLT) model
    Pedersen, Emil M., et al. (2023) 
    <https://www.nature.com/articles/s41467-023-41210-z> 
    as an alternative to traditional time-to-event genome-wide
    association studies, where family history was not considered.

Analysis of multivariate dichotomous and polytomous data using latent trait models under the Item Response Theory approach. It includes the Rasch, the Two-Parameter Logistic, the Birnbaum's Three-Parameter, the Graded Response, and the Generalized Partial Credit Models.

Mixture modelling of one-dimensional data using combinations of left-truncated Gamma, Weibull, and Lognormal Distributions. Blostein, Martin & Miljkovic, Tatjana. (2019) <doi:10.1016/j.insmatheco.2018.12.001>.

Targeted Maximum Likelihood Estimation ('TMLE') of
    treatment/censoring specific mean outcome or marginal structural model for
    point-treatment and longitudinal data.