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LAM  

Some Latent Variable Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("LAM", "0.7-22")



Attach the package and use:
library("LAM")
Maintained by
Alexander Robitzsch
[Scholar Profile | Author Map]
First Published: 2017-05-11
Latest Update: 2022-05-18
Description:
Includes some procedures for latent variable modeling with a particular focus on multilevel data. The 'LAM' package contains mean and covariance structure modelling for multivariate normally distributed data (mlnormal(); Longford, 1987; ), a general Metropolis-Hastings algorithm (amh(); Roberts & Rosenthal, 2001, ) and penalized maximum likelihood estimation (pmle(); Cole, Chu & Greenland, 2014; ).
How to cite:
Alexander Robitzsch (2017). LAM: Some Latent Variable Models. R package version 0.7-22, https://cran.r-project.org/web/packages/LAM. Accessed 02 Apr. 2025.
Previous versions and publish date:
0.0-17 (2017-05-11 18:30), 0.1-22 (2017-11-24 19:16), 0.2-9 (2018-03-20 19:08), 0.3-48 (2018-06-07 19:43), 0.4-17 (2019-05-06 11:40), 0.5-15 (2020-05-09 12:00), 0.6-19 (2022-05-18 15:40)
Other packages that cited LAM R package
View LAM citation profile
Other R packages that LAM depends, imports, suggests or enhances
Complete documentation for LAM
Functions, R codes and Examples using the LAM R package
Some associated functions: LAM-package . amh . clpm_to_ctm . data.HT . loglike_mvnorm . mlnormal . suff_stat_NA_pattern . 
Some associated R codes: RcppExports.R . amh.R . amh_compare_estimators.R . amh_eval_priors.R . amh_ic.R . amh_init_acceptance_parameters.R . amh_loglike.R . amh_posterior.R . amh_proc_methods.R . amh_proposal_refresh.R . amh_sampling.R . amh_sampling_boundary_values.R . clpm_to_ctm.R . clpm_to_ctm_drift_to_paths.R . clpm_to_ctm_estimating_function.R . clpm_to_ctm_paths_to_drift.R . coef.amh.R . coef.mlnormal.R . coef.pmle.R . confint.amh.R . confint.mlnormal.R . confint.pmle.R . lam_add_increment.R . lam_moving_average.R . lam_print_summary_ic_penalty.R . lam_vcov_linear_trafo.R . lam_vcov_to_se.R . logLik.amh.R . logLik.mlnormal.R . logLik.pmle.R . logLik_lam.R . loglike_mvnorm.R . loglike_mvnorm_NA_pattern.R . loglike_mvnorm_NA_pattern_R.R . loglike_mvnorm_R.R . mlnormal.R . mlnormal_abs_approx.R . mlnormal_adjust_numdiff_parameter.R . mlnormal_as_vector_names.R . mlnormal_check_matrix_list_difference.R . mlnormal_covmat_add_ridge.R . mlnormal_create_disp.R . mlnormal_equal_list_matrices.R . mlnormal_equal_matrix.R . mlnormal_eval_penalty.R . mlnormal_eval_penalty_update_theta.R . mlnormal_eval_priors.R . mlnormal_eval_priors_derivative.R . mlnormal_eval_priors_derivative2.R . mlnormal_fill_matrix_from_list.R . mlnormal_fit_function_ml.R . mlnormal_ic.R . mlnormal_information_matrix_reml.R . mlnormal_linear_regression_bayes.R . mlnormal_log_2pi.R . mlnormal_log_det.R . mlnormal_matrix2list.R . mlnormal_parameter_change.R . mlnormal_postproc_eval_posterior.R . mlnormal_postproc_parameters.R . mlnormal_proc.R . mlnormal_proc_control.R . mlnormal_proc_variance_shortcut.R . mlnormal_proc_variance_shortcut_XY_R.R . mlnormal_proc_variance_shortcut_XY_Rcpp.R . mlnormal_proc_variance_shortcut_Z_R.R . mlnormal_proc_variance_shortcut_Z_Rcpp.R . mlnormal_process_prior.R . mlnormal_soft_thresholding.R . mlnormal_sqrt_diag.R . mlnormal_summary_round_helper.R . mlnormal_update_V_R.R . mlnormal_update_V_Rcpp.R . mlnormal_update_beta.R . mlnormal_update_beta_GLS.R . mlnormal_update_beta_XVX_R.R . mlnormal_update_beta_XVX_Rcpp.R . mlnormal_update_beta_iterations_penalty.R . mlnormal_update_beta_iterations_priors.R . mlnormal_update_control_list.R . mlnormal_update_ml_derivative_V.R . mlnormal_update_theta_ml.R . mlnormal_update_theta_newton_step.R . mlnormal_verbose_f0.R . mlnormal_verbose_f1.R . mlnormal_verbose_f2.R . plot.amh.R . pmle.R . pmle_data_proc.R . pmle_eval_posterior.R . pmle_eval_prior.R . pmle_eval_prior_deriv.R . pmle_ic.R . pmle_prior_extract_density.R . pmle_process_prior.R . print.mlnormal.R . suff_stat_NA_pattern.R . summary.amh.R . summary.mlnormal.R . summary.pmle.R . vcov.amh.R . vcov.mlnormal.R . vcov.pmle.R . vcov_linear_trafo.R . zzz.R .  Full LAM package functions and examples
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