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LMMstar (version 1.1.0)

Repeated Measurement Models for Discrete Times

Description

Companion R package for the course "Statistical analysis of correlated and repeated measurements for health science researchers" taught by the section of Biostatistics of the University of Copenhagen. It implements linear mixed models where the model for the variance-covariance of the residuals is specified via patterns (compound symmetry, toeplitz, unstructured, ...). Statistical inference for mean, variance, and correlation parameters is performed based on the observed information and a Satterthwaite approximation of the degrees of freedom. Normalized residuals are provided to assess model misspecification. Statistical inference can be performed for arbitrary linear or non-linear combination(s) of model coefficients. Predictions can be computed conditional to covariates only or also to outcome values.

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Install

install.packages('LMMstar')

Monthly Downloads

405

Version

1.1.0

License

GPL-3

Issues

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Repository

https://github.com/bozenne/LMMstar

Maintainer

Brice Ozenne

Last Published

May 12th, 2024

Functions in LMMstar (1.1.0)

autoplot.partialCor

Graphical Display For Partial Correlation

baselineAdjustment

Perform Baseline Adjustment

autoplot.profile_lmm

Graphical Display of Profile Likelihood

autoplot.summarizeNA

Graphical Display of Missing Data Pattern

autoplot.summarize

Graphical Display of the Descriptive Statistics

Graphical Display For Linear Mixed Models

autoplot.Wald_lmm

Graphical Display For Linear Hypothesis Test

Multivariate Tests For Linear Mixed Model

autoplot.residuals_lmm

Graphical Display of the Residuals

Data From The Blood Pressure Study (Long Format)

Extract Coefficients From a Linear Mixed Model

Data From The Bland Altman Study (Long Format)

Data From The abeta Study (Wide Format)

Extract Coefficients From a Linear Mixed Model

Data From The Bland Altman Study (Long Format)

Statistical Inference for Linear Mixed Model

Confidence Intervals for Multiple Linear Mixed Model.

Data From The Bland Altman Study (Wide Format)

Data From The Calcium Supplements Study (Long Format)

Data From The Gastric Bypass Study (Wide Format)

confint.Wald_lmm

Confidence Intervals for Multivariate Wald Tests

Data From National Cooperative Gallstone Study (Wide Format)

potassiumSingleW

Data From The Potassium Intake Study (Wide Format)

Data From The Calcium Supplements Study (Wide Format)

Data From National Cooperative Gallstone Study (Long Format)

potassiumSingleL

Data From The Potassium Intake Study (Long Format)

Data From The VAS Study (Long Format)

Data From The Gastric Bypass Study (Long Format)

Data From The SWABS Study (Wide Format)

Data From The VAS Study (Wide Format)

Data From The SWABS Study (Long Format)

Delta Method for Mixed Models

Predicted Mean Value For Linear Mixed Model.

Effects Derived For Linear Mixed Model

Simulated Data with 3-level struture (Long Format)

information.lmm

Extract The Information From a Linear Mixed Model

Data From The Vitamin Study (Wide Format)

Data From The Vitamin Study (Long Format)

Variables Involved in a Linear Mixed Model

Extract the Influence Function From a Linear Mixed Model

Fit Multiple Linear Mixed Model

Extract the Score Function for Multcomp

potassiumRepeatedL

Data From The Potassium Intake Study (Long Format with intermediate measurements)

Contrasts and Reference Level

df.residual.lmm

Residuals Degrees of Freedom

Fit Linear Mixed Model

Evaluate Contour of the Log-Likelihood

Extract The Log-Likelihood From a Linear Mixed Model

model.frame.lmm

Extracting the Model Frame from a Linear Mixed Model

Estimate Random Effect From a Linear Mixed Model

Multiple Student's t-Test

model.tables.lmm

Statistical Inference for Linear Mixed Model

Predicted Mean Value With Uncertainty For Linear Mixed Model

Fit Linear Mixed Model on Complete Case data

model.matrix.lmm

Design Matrix for Linear Mixed Model

Proportion of Significant Findings

Extract The Residuals Variance-Covariance Matrix From a Linear Mixed Model

Remove Columns from Output

Number of Observations from a Linear Mixed Model

Scatterplot for Continuous Variables

Extract The Score From a Linear Mixed Model

Linear Hypothesis Testing Across Linear Mixed Models

Sample Longuitudinal Data

Partial Correlation

Compute summary statistics

Summary Output for a Linear Mixed Model

Summary of Multiple Linear Mixed Models

Extract The Variance-Covariance Matrix From a Linear Mixed Model

weights.Wald_lmm

Extract Weights Used to Pool Estimates

Model Terms For Linear Mixed Models

summary.partialCor

Summary for partial correlation

Summarize missing data patterns

Inference via Resampling for Linear Mixed Model

Extract The Residuals From a Linear Mixed Model

summary.Wald_lmm

Summary of Testing for a Linear Mixed Models

Custom Structure

Unstructured Structure

Independence Structure

Toeplitz Structure

Add Columns to Output

LMMstar.options

Global options for LMMstar package

Random Effect Structure

LMMstar-package

LMMstar package: repeated measurement models for discrete times

Compound Symmetry Structure

identity Structure