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lsasim  

Functions to Facilitate the Simulation of Large Scale Assessment Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("lsasim", "2.1.6")



Attach the package and use:
library("lsasim")
Maintained by
Waldir Leoncio
[Scholar Profile | Author Map]
First Published: 2017-02-23
Latest Update: 2023-08-22
Description:
Provides functions to simulate data from large-scale educational assessments, including background questionnaire data and cognitive item responses that adhere to a multiple-matrix sampled design. The theoretical foundation can be found on Matta, T.H., Rutkowski, L., Rutkowski, D. et al. (2018) .
How to cite:
Waldir Leoncio (2017). lsasim: Functions to Facilitate the Simulation of Large Scale Assessment Data. R package version 2.1.6, https://cran.r-project.org/web/packages/lsasim. Accessed 29 Apr. 2025.
Previous versions and publish date:
1.0.0 (2017-02-23 11:14), 1.0.1 (2017-05-10 11:34), 2.0.0 (2019-09-13 00:40), 2.0.1 (2019-12-05 21:30), 2.0.2 (2020-09-10 16:10), 2.1.0 (2021-06-23 09:10), 2.1.1 (2021-06-24 11:30), 2.1.2 (2021-11-10 01:30), 2.1.3 (2023-03-28 13:10), 2.1.4 (2023-08-22 15:00), 2.1.5 (2024-05-06 14:30)
Other packages that cited lsasim R package
View lsasim citation profile
Other R packages that lsasim depends, imports, suggests or enhances
Complete documentation for lsasim
Functions, R codes and Examples using the lsasim R package
Some associated functions: anova.lsasimcluster . attribute_cluster_labels . beta_gen . block_design . booklet_design . booklet_sample . brr . calc_n_tilde . calc_replicate_weights . calc_se_rho . calc_var_between . calc_var_tot . calc_var_within . check_condition . check_ignored_parameters . check_n_N_class . check_valid_structure . cluster_gen . cluster_gen_separate . cluster_gen_together . cluster_message . convert_vector_to_list . cor_gen . cov_gen . cov_yfz_gen . cov_yxw_gen . cov_yxz_gen . customize_summary . dot-onAttach . draw_cluster_structure . gen_X_W_cluster . gen_cat_prop . gen_variable_n . intraclass_cor . irt_gen . item_gen . jackknife . label_respondents . lambda_gen . lsasim . pisa2012_math_block . pisa2012_math_booklet . pisa2012_math_item . pisa2012_q_cormat . pisa2012_q_marginal . pluralize . print_anova . proportion_gen . pt_bis_conversion . questionnaire_gen . questionnaire_gen_family . questionnaire_gen_polychoric . ranges . recalc_final_weights . replicate_var . response_gen . rzeropois . sample_from . sample_within_range . select . split_cat_prop . summary.lsasimcluster . summary_2 . trim_sample . validate_questionnaire_gen . weight_responses . whitelist_message . 
Some associated R codes: anova.R . attribute_cluster_labels.R . beta_gen.R . beta_gen_auxiliaryFunctions.R . block_design.R . booklet_design.R . booklet_sample.R . brr.R . calc_n_tilde.R . calc_replicate_weights.R . calc_se_rho.R . calc_var_between.R . calc_var_tot.R . calc_var_within.R . check_condition.R . check_ignored_parameters.R . check_n_N_class.R . check_valid_structure.R . cluster_gen.R . cluster_gen_separate.R . cluster_gen_together.R . cluster_message.R . convert_vector_to_list.R . cor_gen.R . cov_gen.R . cov_yfz_gen.R . cov_yxw_gen.R . cov_yxz_gen.R . customize_summary.R . draw_cluster_structure.R . gen_X_W_cluster.R . gen_cat_prop.R . gen_variable_n.R . intraclass_cor.R . irt_gen.R . item_gen.R . jackknife.R . label_respondents.R . lambda_gen.R . lsasim.R . misc.R . pisa2012_math_block.R . pisa2012_math_booklet.R . pisa2012_math_item.R . pisa2012_q_cormat.R . pisa2012_q_marginal.R . pluralize.R . print_anova_table.R . proportion_gen.R . pt_bis_conversion.R . questionnaire_gen.R . questionnaire_gen_family.R . questionnaire_gen_polychoric.R . ranges.R . recalc_final_weights.R . replicate_var.R . response_gen.R . rzeropois.R . sample_from.R . sample_within_range.R . select.R . split_cat_prop.R . summary.R . summary_2.R . trim_sample.R . validate.R . weight_responses.R . whitelist_message.R .  Full lsasim package functions and examples
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