- Cluster Models
- Dichotomous
- Standard LC, Local Dependencies, and Covariates (DemoData/political.lgf)
- Standard LC and LC with CFactor (DemoData/landis77.lgf)
- Standard LC, Equal Effects, and IRT (DemoData/heinen2.lgf)
- Covariate and Multiple Group (DemoData/heinen_mf.lgf)
- Standard LC, LC with CFactor, and Knownclass (DemoData/hagdu.lgf)
- Select Option (demolg5/heinen_mf_select.lgf)
- Vuong -2LL Diff (VLMR) Tests (demolg6/political_range.lgf)
- Simple Bootstrap -2LL Diff Tests (demolg6/political_range.lgf)
- Polytomous
- Standard LC and Local Dependencies (DemoData/gss82white.lgf)
- Active and Inactive Covariates (DemoData/gss82.lgf)
- Nominal: Standard LC, Order-Restricted LC, and IRT (DemoData/heinen3_nominal.lgf)
- Ordinal: Standard LC and IRT (DemoData/heinen3_ordinal.lgf)
- Continuous
- Mixture Univariate Normal (DemoData/galaxy.lgf)
- Mixture Multivariate Normal (1) (DemoData/diabetes.lgf)
- Mixture Multivariate Normal (2) (DemoData/iris.lgf)
- Mixture Multivariate Normal with CFactor (DemoData/srcddata.lgf)
- Mixed Scale Types
- Nominal and Continuous Responses (DemoData/cancer.lgf)
- LC Tree models
- Cluster Model (demolg6/treeGUI.lgf)
- Saved Tree Models (demolg6/SavedTreeModels.lgf)
- Dichotomous
- DFactor Models
- Dichotomous
- Exploratory and Confirmatory 2-DFactor (DemoData/political.lgf)
- 2-DFactor (DemoData/landis77.lgf)
- 3-Level DFactor, Equal Effects, and IRT (DemoData/heinen2.lgf)
- Polytomous
- 2-DFactor (DemoData/gss82white.lgf)
- Active and Inactive Covariates (DemoData/gss82.lgf)
- Nominal: K-Level DFactor and IRT (DemoData/heinen3_nominal.lgf)
- Ordinal: K-Level DFactor and IRT (DemoData/heinen3_ordinal.lgf)
- Dichotomous
- Regression Models
- Simple Mixture
- Univariate Normal (DemoData/nov2002.lgf)
- Poisson (DemoData/candy.lgf)
- Truncated Poisson (DemoData/candy_trunc.lgf)
- Poisson with Exposure (DemoData/sids.lgf)
- Binomial Count (DemoData/nov2002.lgf)
- Regression for Single Response
- Poisson (DemoData/dmft.lgf)
- Censored\Truncated Continuous (DemoData/long1.lgf)
- (Zero-Inflated) Poisson (DemoData/long2.lgf)
- Truncated Count (DemoData/runshoes.lgf)
- Repeated Responses or Two-Level Data
- Dichotomous Response (1) (DemoData/bang.lgf)
- Dichotomous Response (2) (DemoData/schizphrenia.lgf)
- Continuous Response (DemoData/snijdersbosker.lgf)
- Ordinal Response (Rating-based Conjoint) (DemoData/conjoint.lgf)
- Restricted Cluster-like Models
- Restricted LC and IRT (DemoData/landisreg.lgf)
- Restricted LC with Covariate (DemoData/heinen_mf_reg.lgf)
- Growth Models
- Dichotomous Response (DemoData/schizphrenia.lgf)
- Binomial Count (DemoData/abortion.lgf)
- Ordinal Response (DemoData/elliotreg.lgf)
- Poisson Count (DemoData/epil.lgf)
- LC Tree Growth Model (1) (demolg6/vermunt_tran_magidson_LC_growth_tree.lgf)
- LC Tree Growth Model (2) (demolg6/DFG_LC_growth_tree.lgf)
- Event History and Survival
- Piecewise Exponential (DemoData/jobchange.lgf)
- Discrete Time Competing Risks (DemoData/empltran.lgf)
- Discrete or Continuous Time (DemoData/land.lgf)
- Mover-Stayer Model (DemoData/moverstayer.lgf)
- Multiple Events: Continuous Time (DemoData/VINKEN.LGF)
- Multiple Events: Discrete Time (DemoData/VINKEN_Binomial.lgf)
- Simple Mixture
- Step3 and Scoring
- Covariate (1)
- Step1+2: Classification to File (demolg5/step12_political.lgf)
- Running Step-3 Model (demolg5/step3_political.lgf)
- Covariate (2)
- Step1+2: Classification to File (demolg5/step12_uscid.lgf)
- Running Step-3 Model (demolg5/step3_uscid.lgf)
- Dependent
- Step1+2: Classification to File (demolg5/step12_psychcontract.lgf)
- Running Step-3 Model (demolg5/step3_psychcontract.lgf)
- With DIF
- With DIF (Step 1 and 2) (demolg6/political_step1&2_DIF.lgf)
- With DIF Cluster (Step 3) (demolg6/political_3cluster_step3_DIF.lgf)
- With DIF Factor (Step 3) (demolg6/political_step3_DIF.lgf)
- Bakk-Kuha Method
- Log-densities to Outfile (demolg6/political_logdensities.lgf)
- Bakk-Kuha Method with Log-densities (demolg6/political_Bakk-Kuha.lgf)
- With Caseid
- With Caseid (Step 1 and 2) (demolg6/abortion_step1&2.lgf)
- With Caseid (Step 3) (demolg6/abortion_step3.lgf)
- Markov
- Running Step-3 Model (Modal-ML) (demolg6/vtm_step3.lgf)
- Running Step-3 Model (Bakk-Kuha) (demolg6/vtm_step3_bakk-kuha.lgf)
- For LC Tree
- For LC Tree (Covariate) (demolg6/LCTree_Step3_Covariate.lgf)
- For LC Tree (Dependent) (demolg6/LCTree_Step3_Dependent.lgf)
- For LC Growth Tree (demolg6/DFG_LC_growth_tree_step3.lgf)
- Scoring with Categorical Indicators
- Original Analysis: Classification to File (demolg5/step12_political.lgf)
- Scoring with Step3 (demolg5/scoring_political.lgf)
- Scoring with Continuous Indicators
- Original Analysis: Classification to File (demolg5/step12_diabetes.lgf)
- Scoring with Step3 (demolg5/scoring_diabetes.lgf)
- Scoring with Missing Values on Indicators
- Original Analysis: Classification to File (demolg5/step12_mierlo_socmeth.lgf)
- Scoring with Step3 (demolg5/scoring_mierlo_socmeth.lgf)
- Scoring for 2-DFactor Model
- Original Analysis: Classification to File (demolg5/step12_political_2DFactor.lgf)
- Scoring with Step3 (demolg5/scoring_political_2DFactor.lgf)
- Covariate (1)
- Markov Models
- Time Homogeneous Models (demolg5/poulsen_markov.lgf)
- Time Heterogeneous Models (demolg5/satisfaction_markov.lgf)
- Mover-Stayer LM + Covariates (demolg5/NYS9wave_markov.lgf)
- Multiple Indicators + Order-Restricted States (demolg5/vermunt_tran_magidson_3indicators.lgf)
- Continuous Indicators + Covariates (demolg5/srcddata_long.lgf)
- Advanced Applications/Options
- KnownClass
- CACE model (DemoData/cace.lgf)
- Partially Known Class Membership (DemoData/knownclass.lgf)
- Cluster with Gold Standard (DemoData/hagdu.lgf)
- IRT models
- Dichotomous using Cluster/DFactor (DemoData/DichotomousIRT_Cluster_DFactor.lgf)
- Dichotomous using Regression (DemoData/DichotomousIRT_Regression.lgf)
- Polytomous using Cluster/DFactor (DemoData/PolytomousIRT_Cluster_DFactor.lgf)
- Polytomous using Regression (DemoData/PolytomousIRT_Regression.lgf)
- Mixture Rasch (DemoData/landisreg.lgf)
- Hybrid Models with CFactors
- Local Dependence Cluster Model (DemoData/hagdu.lgf)
- Growth Model for Continuous Response (DemoData/srcddata.lgf)
- Growth Model for Dichotomous Response (DemoData/schizphrenia.lgf)
- Growth Model for Ordinal Response (DemoData/elliotreg.lgf)
- Complex Sampling
- Standard LC Model (DemoData/patterson.lgf)
- Multilevel LC Models
- Standard (DemoData/mierlo_socmeth.lgf)
- Standard and with Covariates (1) (DemoData/mierlo_mbr.lgf)
- Standard and with Covariates (2) (DemoData/CITO.lgf)
- Three-Mode Data (demolg5/meulders.lgf)
- Three-Level Regression Models
- Dichotomous Response (1) (DemoData/immunization.lgf)
- Dichotomous Response (2) (DemoData/tob3vote.lgf)
- Ordinal Response (DemoData/tvsfp.lgf)
- Binomial Count (DemoData/socatt.lgf)
- Various
- Allocation Data (DemoData/allocation.lgf)
- Two CFactors, one for Response-Style (DemoData/2cfac2.lgf)
- Two DFactors, one for Response-Style (DemoData/crackers0.lgf)
- KnownClass
- Models for Tutorials
- Tutorial S1: LC Regression (DemoData/3-class_Regression_Model.lgf)
- Step-Three Tutorial 1
- Step1+2: Classification to File (demolg5/step12_uscid.lgf)
- Step3-Covariate Analysis (demolg5/step3_uscid.lgf)
- Step1+2: Classification to File (demolg5/step12_psychcontract.lgf)
- Step3-Dependent Analysis (demolg5/step3_psychcontract.lgf)
- New in LatentGOLD 6.0
- LC Tree Models
- Cluster Model (demolg6/treeGUI.lgf)
- Growth Model (1) (demolg6/vermunt_tran_magidson_LC_growth_tree.lgf)
- Growth Model (2) (demolg6/DFG_LC_growth_tree.lgf)
- Saved Tree Models (demolg6/SavedTreeModels.lgf)
- Three-step LC Analysis
- With DIF (Step 1 and 2) (demolg6/political_step1&2_DIF.lgf)
- With DIF Cluster (Step 3) (demolg6/political_3cluster_step3_DIF.lgf)
- With DIF Factor (Step 3) (demolg6/political_step3_DIF.lgf)
- Bakk-Kuha Method (demolg6/political_Bakk-Kuha.lgf)
- With Caseid (Step 1 and 2) (demolg6/abortion_step1&2.lgf)
- With Caseid (Step 3) (demolg6/abortion_step3.lgf)
- For LC Tree (Covariate) (demolg6/LCTree_Step3_Covariate.lgf)
- For LC Tree (Dependent) (demolg6/LCTree_Step3_Dependent.lgf)
- For LC Growth Tree (demolg6/DFG_LC_growth_tree_step3.lgf)
- Output and Outfile options
- Vuong -2LL Diff (VLMR) Tests (demolg6/political_range.lgf)
- Simple Bootstrap -2LL Diff Tests (demolg6/political_range.lgf)
- Scoring Equations (demolg6/political_scoring_equations.lgf)
- Log-densities to Outfile (demolg6/political_logdensities.lgf)
- Variable options
- B-spline Covariate Affecting Classes (demolg6/bspline_covariate.lgf)
- B-spline Time Effect in Growth Model (demolg6/bspline_predictor.lgf)
- Dependent Variable Weighting (demolg6/varweight_for_continuous.lgf)
- LC Tree Models
- New in LatentGOLD 6.1
- Three-step Latent Markov (demolg6/vtm_step3.lgf)
- Two-step (Bakk-Kuha) Latent Markov (demolg6/vtm_step3_bakk-kuha.lgf)