Tools for Model Specification in the Latent Variable Framework

Lava Estimation for the Sum of Sparse and Dense Signals

Latent (Variable) Analysis with Bayesian Learning

Tools for Biostatistics, Public Policy, and Law

Loglikelihood Adjustment for Extreme Value Models

Persistent Large Data Array with Lazy-Loading on Demand

Progress Bar with Remaining Time Forecast Method

Delayed Read for 'GDAL' Vector Data Sources

Learn Computer and Data Science using Algorithmic Trading

Latent Budget Analysis for Compositional Data

Limited Memory BFGS Minimizer with Bounds on Parameters with
optim() 'C' Interface
R package lbfgsb3c version 2024-3.4

Log Binomial Regression Model in Exact Method

Implementation of Logistic Box-Cox Regression

The Length-Biased Power Garima Distribution

Log-Binomial Regression with Constrained Optimization

Latent Class Analysis (LCA) with Familial Dependence in Extended
Pedigrees
R package LCAextend version 1.3

Variable Selection for Latent Class Analysis

Data sets for package ``LMERConvenienceFunctions''

A Bayesian Multi-Dimensional Couple-Based Latent Risk Model

Extended Mixed Models Using Latent Classes and Latent Processes

Liquid Chromatography/Mass Spectrometry (LC/MS) Quality
Assessment

Simple Tools to Compute Landscape Connectivity Metrics

Ordinal Outcomes: Generalized Linear Models with the Log Link

Bayesian Joint Latent Class and Regression Models

Univariate and Bivariate Latent Change Score Modelling

Local Correlation, Spatial Inequalities, Geographically Weighted
Regression and Other Tools
R package lctools version 0.2-10

Collapsed Gibbs Sampling Methods for Topic Models

Linkage Disequilibrium of Ancestry (LDA) and LDA Score (LDAS)

Biplot Graphical Interface for LDA Models

Analysis of Data from Limiting Dilution Assay (LDA) with or
without Cellular Cooperation
R package LDAcoop version 0.1.1

Selection of Statistically Similar Research Groups

Prototype of Multiple Latent Dirichlet Allocation Runs

User-Friendly Interface for Review of Scientific Literature

Classification Trees with Linear Discriminant Analysis at
Terminal Nodes