Other packages > Find by keyword >

mmrm  

Mixed Models for Repeated Measures
View on CRAN: Click here


Download and install mmrm package within the R console
Install from CRAN:
install.packages("mmrm")

Install from Github:
library("remotes")
install_github("cran/mmrm")

Install by package version:
library("remotes")
install_version("mmrm", "0.3.14")



Attach the package and use:
library("mmrm")
Maintained by
Daniel Sabanes Bove
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-10-18
Latest Update: 2024-03-05
Description:
Mixed models for repeated measures (MMRM) are a popular choice for analyzing longitudinal continuous outcomes in randomized clinical trials and beyond; see Cnaan, Laird and Slasor (1997) for a tutorial and Mallinckrodt, Lane, Schnell, Peng and Mancuso (2008) for a review. This package implements MMRM based on the marginal linear model without random effects using Template Model Builder ('TMB') which enables fast and robust model fitting. Users can specify a variety of covariance matrices, weight observations, fit models with restricted or standard maximum likelihood inference, perform hypothesis testing with Satterthwaite or Kenward-Roger adjustment, and extract least square means estimates by using 'emmeans'.
How to cite:
Daniel Sabanes Bove (2022). mmrm: Mixed Models for Repeated Measures. R package version 0.3.14, https://cran.r-project.org/web/packages/mmrm. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.1.3 (2022-10-18 08:40), 0.1.5 (2022-10-18 14:12), 0.2.2 (2022-12-20 10:50), 0.3.6 (2023-11-17 21:10), 0.3.7 (2023-12-09 01:40), 0.3.8 (2024-01-24 17:40), 0.3.9 (2024-01-25 23:40), 0.3.10 (2024-01-26 13:10), 0.3.11 (2024-03-05 09:10), 0.3.12 (2024-06-26 17:00), 0.3.13 (2024-09-23 08:50)
Other packages that cited mmrm R package
View mmrm citation profile
Other R packages that mmrm depends, imports, suggests or enhances
Complete documentation for mmrm
Functions, R codes and Examples using the mmrm R package
Some associated functions: Anova.mmrm . COV_TYPES . as.cov_struct . bcva_data . cached_mmrm_results . car_add_mmrm . check_package_version . component . cov_struct . cov_type_abbr . cov_type_name . covariance_types . df_1d . df_md . drop_elements . emit_tidymodels_register_msg . emmeans_support . emp_start . fev_data . fill_names . fit_mmrm . fit_single_optimizer . flat_expr . format.cov_struct . format_symbols . formula_rhs . h_add_covariance_terms . h_add_terms . h_coef_table . h_confirm_large_levels . h_construct_model_frame_inputs . h_default_value . h_df_1d_bw . h_df_1d_kr . h_df_1d_res . h_df_1d_sat . h_df_bw_calc . h_df_md_bw . h_df_md_from_1d . h_df_md_kr . h_df_md_res . h_df_md_sat . h_df_min_bw . h_df_to_tibble . h_drop_covariance_terms . h_extract_covariance_terms . h_factor_ref . h_get_contrast . h_get_cov_default . h_get_empirical . h_get_kr_comp . h_get_optimizers . h_get_prediction . h_get_prediction_variance . h_get_sim_per_subj . h_get_theta_from_cov . h_gradient . h_jac_list . h_kr_df . h_md_denom_df . h_mmrm_tmb_assert_start . h_mmrm_tmb_check_conv . h_mmrm_tmb_data . h_mmrm_tmb_extract_cov . h_mmrm_tmb_fit . h_mmrm_tmb_formula_parts . h_mmrm_tmb_parameters . h_newdata_add_pred . h_optimizer_fun . h_partial_fun_args . h_print_aic_list . h_print_call . h_print_cov . h_quad_form . h_reconcile_cov_struct . h_record_all_output . h_register_s3 . h_residuals_normalized . h_residuals_pearson . h_residuals_response . h_split_control . h_summarize_all_fits . h_tbl_confint_terms . h_test_1d . h_test_md . h_tr . h_valid_formula . h_var_adj . h_warn_na_action . h_within_or_between . is_infix . mmrm-package . mmrm . mmrm_control . mmrm_methods . mmrm_tidiers . mmrm_tmb_methods . parsnip_add_mmrm . position_symbol . print.cov_struct . reexports . refit_multiple_optimizers . register_on_load . std_start . tmb_cov_type . validate_cov_struct . 
Some associated R codes: between-within.R . catch-routine-registration.R . component.R . cov_struct.R . data.R . empirical.R . fit.R . interop-car.R . interop-emmeans.R . interop-parsnip.R . kenwardroger.R . mmrm-methods.R . mmrm-package.R . residual.R . satterthwaite.R . skipping.R . testing.R . tidiers.R . tmb-methods.R . tmb.R . utils-formula.R . utils-nse.R . utils.R . zzz.R .  Full mmrm package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
crossrun  
Joint Distribution of Number of Crossings and Longest Run
Joint distribution of number of crossings and the longest run in a series of independent Bernoulli ...
Download / Learn more Package Citations See dependency  
deductive  
Data Correction and Imputation Using Deductive Methods
Attempt to repair inconsistencies and missing values in data records by using information from vali ...
Download / Learn more Package Citations See dependency  
pkgdepends  
Package Dependency Resolution and Downloads
Find recursive dependencies of 'R' packages from various sources. Solve the dependencies to obtain ...
Download / Learn more Package Citations See dependency  
RcppHNSW  
'Rcpp' Bindings for 'hnswlib', a Library for Approximate Nearest Neighbors
'Hnswlib' is a C++ library for Approximate Nearest Neighbors. This package provides a minimal R int ...
Download / Learn more Package Citations See dependency  
kgschart  
KGS Rank Graph Parser
Restore underlining numeric data from rating history graph of KGS (an online platform of the game o ...
Download / Learn more Package Citations See dependency  

23,229

R Packages

199,929

Dependencies

62,984

Author Associations

23,230

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA