Computationally efficient functions to provide direct likelihood-based
    inference for partially-observed multivariate birth-death processes.  Such processes
    range from a simple Yule model to the complex susceptible-infectious-removed model
    in disease dynamics.  Efficient likelihood evaluation facilitates maximum likelihood
    estimation and Bayesian inference.

Quantify exposure-outcome causal effects
    with adjustment for multiple biases. The functions can
    simultaneously adjust for any combination of uncontrolled confounding,
    exposure/outcome misclassification, and selection bias.
    The underlying method generalizes the combination of inverse
    probability of selection weighting with predictive value weighting.
    Simultaneous multi-bias analysis can be used to enhance the validity
    and transparency of real-world evidence obtained from observational,
    longitudinal studies. Based on the work from Paul Brendel, Aracelis Torres, and Onyebuchi Arah (2023) <doi:10.1093/ije/dyad001>.

Meta-analyses can be compromised by studies' internal biases (e.g.,
  confounding in nonrandomized studies) as well as by publication bias. This
  package conducts sensitivity analyses for the joint effects of these biases
  (per Mathur (2022) <doi:10.31219/osf.io/u7vcb>). These sensitivity analyses 
  address two questions: (1) For a given severity of internal bias across
  studies and of publication bias, how much could the results change?; and
  (2) For a given severity of publication bias, how severe would internal bias
  have to be, hypothetically, to attenuate the results to the null or by a given
  amount?

Provides a GUI with which users can construct and interact
        with Multibiplot Analysis.

Functions and datasets to support Smilde, Næs and Liland (2021, ISBN: 978-1-119-60096-1) 
   "Multiblock Data Fusion in Statistics and Machine Learning - Applications in the Natural and Life Sciences". 
   This implements and imports a large collection of methods for multiblock data analysis with common interfaces, result- and plotting 
   functions, several real data sets and six vignettes covering a range different applications.