- Latent Class Analysis
- Dichotomous Responses
- Unrestricted (1) (demolgs/political_unrestricted.lgs)
- Unrestricted (2) (demolgs/S_RH_9.3.lgs)
- Restrictions (demolgs/political_restricted.lgs)
- Scaling Models (demolgs/heinen2_scaling.lgs)
- Error coding (demolgs/hagdu_error.lgs)
- Monotonicity (demolgs/political_monotonicity.lgs)
- Covariates and Marginal Effects (demolg6/political_covariates_margeff.lgs)
- Polytomous Responses
- Nominal (demolgs/heinen3_nominal.lgs)
- Ordinal (demolgs/heinen3_ordinal.lgs)
- Rankings (BLT Model) (demolg5/CROON89.lgs)
- Post Hoc 0 Prob. Restrictions (demolgs/gss82white_restricted.lgs)
- Ordinal via Restricted Nominal (demolgs/heinen3_nominal_restricted.lgs)
- Covariates and Marginal Effects (demolg6/gss82_covariates_margeff.lgs)
- Discretized IRT
- Dichotomous (demolgs/heinen2_dichotomous_discretized_irt.lgs)
- Nominal (demolgs/heinen3_nominal_discretized_irt.lgs)
- Ordinal (demolgs/heinen3_ordinal_discretized_irt.lgs)
- Multiple Latent Variables
- Discrete Factor Model (demolgs/political_dfactor.lgs)
- Latent Path Model (1) (demolgs/political_path_model.lgs)
- Latent Path Model (2) (demolgs/pac_pathmodel.lgs)
- Latent (Quasi-)Symmetry Model (demolgs/hag86_symmetry.lgs)
- Response Style Model (demolg5/taalint.lgs)
- Multiple Group LCA
- Dichotomous (demolgs/heinen_mf_multiplegroup.lgs)
- Polytomous (demolgs/gss82_multiplegroup.lgs)
- Continuous Response(s)
- Univariate Response (demolgs/galaxy.lgs)
- Multivariate Response (demolgs/diabetes.lgs)
- Multilevel Model (demolg5/peetmis_smmr.lgs)
- Local Dependencies
- Discrete Responses (demolgs/political_localdep.lgs)
- Via Continuous Factor (demolgs/hagdu.lgs)
- Continuous Responses (demolgs/diabetes.lgs)
- Restrictions
- Scaling Models (demolgs/heinen2_scaling.lgs)
- Zero Prob for Identification (demolgs/DeLeeuwVanderHeijdenVerboon_LB.lgs)
- Zero Prob: Post hoc (demolg5/gss82white_restricted_lg5.lgs)
- Zero Prob using Cell Weight (demolg5/gss82white_restricted_lg5.lgs)
- Scaling Models (demolgs/heinen2_scaling.lgs)
- Equalities (demolgs/political_restricted.lgs)
- Fixed Ratios via Parameter Labels (demolg5/CROON89.lgs)
- Monotonicity (demolgs/political_monotonicity.lgs)
- LC Tree Models
- Cluster Model (demolg6/treeSyntax.lgs)
- Saved Tree Models (demolg6/SavedTreeModels.lgs)
- Other LC Modeling Options
- Covariates (1) (demolgs/political_covariates.lgs)
- Covariates (2) (demolg6/bspline_covariate.lgs)
- Knownclass (demolg5/hagdu_lg5.lgs)
- Latent Budget Model (demolgs/DeLeeuwVanderHeijdenVerboon_LB.lgs)
- Grade-of-Membership Model (demolgs/landisreg_gom.lgs)
- LC with Continuous Factor (demolgs/hagdu.lgs)
- Complex Sampling (demolgs/patterson_complex.lgs)
- Multilevel Model (demolgs/mierlo_mbr.lgs)
- Dichotomous Responses
- Continuous Latent Variables
- Factor Analysis (FA)
- Confirmatory (demolgs/peetmis_fa.lgs)
- Multiple Group (demolgs/peetmis_fa_mg.lgs)
- Covariates (MIMIC Model) (demolgs/srcddata_fa_covariates.lgs)
- Mixture (demolgs/peetmis_fa_mixture.lgs)
- Multilevel (Mixture) (demolgs/peetmis_fa_multilevel.lgs)
- Structural Equation Models (SEM)
- SEM (demolg6/PoliticalDemocracy.lgs)
- Partial Correlation or Network (demolg6/holzinger-sem-pco.lgs)
- Mixture Latent Autoregressive (demolg6/mixture_ar1.lgs)
- Multigroup Mixture SEM (demolg6/MMGSEM-1-step.lgs)
- Item Response Models (IRT)
- Dichotomous (1) (demolg5/heinen2_dichotomous_irt_lg5.lgs)
- Dichotomous (2) (demolgs/S_RH_9.4.lgs)
- Dichotomous (Long File) (demolgs/heinen_mf_reg_irt.lgs)
- Dichotomous (Single Peaked Items) (demolgs/political_parametric_irt_single_peaked.lgs)
- Polytomous (demolgs/heinen3_polytomous_irt.lgs)
- Polytomous (Long File) (demolgs/heinen3reg_irt.lgs)
- Multiple Group (demolgs/heinen_mf_multiplegroup_irt.lgs)
- Covariates (1) (demolgs/heinen_mf_reg_irt_covariates.lgs)
- Covariates (2) (demolgs/cito_irt_covariates.lgs)
- Mixture (demolgs/heinen2_mixture_irt.lgs)
- Multidimensional (demolgs/environment_multidimensional_irt.lgs)
- Multilevel (demolgs/CITO_multilevel_irt.lgs)
- Multilevel Mixture (demolgs/CITO_multilevel_mixture_irt.lgs)
- Discretized IRT/FA
- Dichotomous (demolgs/heinen2_dichotomous_discretized_irt.lgs)
- Nominal (demolgs/heinen3_nominal_discretized_irt.lgs)
- Ordinal (demolgs/heinen3_ordinal_discretized_irt.lgs)
- Continuous (FA) (demolgs/srcddata_fa_discretized.lgs)
- Exploratory FA
- EFA with Rotation (demolg6/peetmis_efa.lgs)
- Multiple-group EFA with Rotation (demolg6/peetmis_mg_efa.lgs)
- Multilevel Mixture EFA with Rotation (demolg6/peetmis_multilevel_mixture_efa.lgs)
- Factor Analysis (FA)
- Regression Analysis
- Standard and Mixture
- Continuous (demolgs/snijdersbosker_normal.lgs)
- Continuous Censored/Truncated (demolgs/long_continuous_censored_truncated.lgs)
- Dichotomous and Marginal Effects (demolgs/bang_binary.lgs)
- Nominal and Stereotype (demolg5/agresti88_nominal_lg5.lgs)
- Ordinal (demolg5/elliot_ordinal_reg_lg5.lgs)
- Mixture Ordinal (demolgs/elliot_ordinal_mixture_reg.lgs)
- Poisson Count (demolgs/dmft_poisson.lgs)
- Binomial Count (demolgs/abortion_binomial.lgs)
- Truncated Binomial Count (demolgs/runshoes_truncated_binomial.lgs)
- Beta (demolg5/ReadingSkills.lgs)
- Gamma (demolg5/gammaregwithout0.lgs)
- Von Mises (demolg5/ants.lgs)
- Multinomial, MV Poisson, Dirichlet (demolg6/multinomial&dirichlet.lgs)
- Interval Censoring (demolg6/intervalcensoring.lgs)
- Survival: Discrete Time (demolgs/land_discrete_time.lgs)
- Survival: Continuous Time (demolgs/jobchange_continuous_time.lgs)
- Survival: Competing Risks (1) (demolgs/empltran_discretetimelogit.lgs)
- Survival: Competing Risks (2) (demolgs/empltran_continuoustime.lgs)
- Survival: Multiple Events (demolgs/vinken_continuous_time.lgs)
- Parametric Survival (1) (demolg6/survival.lgs)
- Parametric Survival (2) (demolg6/mort.lgs)
- Mixture Parametric Survival (demolg6/catheter_mixture.lgs)
- Multivariate Mixture Parametric Survival (demolg6/vinken_multivariate_survival.lgs)
- Random-effects
- 2-Level Dichotomous (1) (demolgs/schizophrenia_random_effect.lgs)
- 2-Level Dichotomous (2) (demolgs/beate_random_effect.lgs)
- Markov with Unobserved Heterogeneity (demolgs/S_RH_9.6.lgs)
- 2-Level Ordinal (demolgs/elliot_ordinal_random_effect.lgs)
- 3-Level Dichotomous (demolgs/immunization_random_effect.lgs)
- 3-Level Ordinal (demolgs/tvsfp_threelevel.lgs)
- 3-Level Ordinal (Cumulative Logit) (demolg5/TVSFPMultLevCatChapter.lgs)
- Other
- Mixture and Random effects (demolgs/crackers3_hybrid.lgs)
- Multiple Ordinal or Nominal Factors (demolgs/crackers3_dfactors.lgs)
- 3-Level Mixture Regression (1) (demolgs/socatt_3level_mixture.lgs)
- 3-Level Mixture Regression (2) (demolg5/antibiotics_smmr.lgs)
- Micro-Macro LC Model (demolg5/nkps_long.lgs)
- Standard and Mixture
- (Mixture) Growth Models
- Continuous response
- Restricted FA Model (demolgs/srcddata_fa_mixture.lgs)
- Two-Level Regression Model (demolgs/srcddata_long_growth.lgs)
- Multilevel (demolg5/palardyvermunt.lgs)
- Discrete responses
- Binary (demolgs/schizophrenia_mixture_growth.lgs)
- Ordinal (demolgs/elliot_ordinal_mixture_growth.lgs)
- Ordinal (Restricted FA/IRT) (demolgs/elliot_ordinal_mixture_growth_wide.lgs)
- LC Tree Models
- Growth Model (1) (demolg6/vermunt_tran_magidson_LC_growth_tree.lgs)
- Growth Model (2) (demolg6/DFG_LC_growth_tree.lgs)
- Continuous response
- Latent/Hidden Markov Models
- Standard and Mixture (demolg5/poulsen_markov_lg5.lgs)
- Standard, Mixture and 2nd Order (demolgs/langeheine_vandepol_markov.lgs)
- Standard, Mixture and Covariates (demolg5/vermunt_tran_magidson_lg5.lgs)
- Two Dependent Processes (1) (demolgs/jebs_cross-lagged.lgs)
- Two Dependent Processes (2) (demolgs/srcddata_long_multiple_process.lgs)
- Continuous Response (1) (demolgs/schizophrenia_markov.lgs)
- Continuous Response (2) (demolgs/srcddata_long_multiple_process.lgs)
- Multilevel (demolgs/vermunt_tran_magidson_multilevel.lgs)
- Nested Processes (demolg5/DFG.lgs)
- Defined as Path Model (demolgs/pac_pathmodel.lgs)
- Continuous-Time Manifest (demolg5/heart_ct_markov.lgs)
- Continuous-Time (Multilevel) Latent (demolg5/DFG_ct_markov.lgs)
- Multilevel Latent Variable Models
- Latent Class (Dichotomous Responses) (demolgs/mierlo_mbr.lgs)
- Latent Class (Continuous Responses) (demolg5/peetmis_smmr.lgs)
- Latent Class (Nominal Response) (demolg5/antibiotics_smmr.lgs)
- Three-Mode Data (demolg5/meulders.lgs)
- 3-Level Mixture Regression (1) (demolgs/socatt_3level_mixture.lgs)
- 3-Level Mixture Regression (2) (demolg5/antibiotics_smmr.lgs)
- IRT (demolgs/CITO_multilevel_irt.lgs)
- Mixture IRT (demolgs/CITO_multilevel_mixture_irt.lgs)
- (Mixture) Factor Analysis (1) (demolgs/peetmis_fa_multilevel.lgs)
- (Mixture) Factor Analysis (2) (demolg5/varrialevermunt.lgs)
- Mixture Latent Growth (demolg5/palardyvermunt.lgs)
- Latent Markov (demolgs/vermunt_tran_magidson_multilevel.lgs)
- Latent Markov: Nested Processes (demolg5/DFG.lgs)
- Continuous-Time Latent Markov (demolg5/DFG_ct_markov.lgs)
- Step-3 LC Analysis + Scoring
- Covariate (1)
- Step1+2: Classification (demolg5/step12_political.lgs)
- Step-3 Model (demolg5/step3_political.lgs)
- Covariate (2)
- Step 1+2: Classification (demolg5/step12_uscid.lgs)
- Step-3 Model (demolg5/step3_uscid.lgs)
- User-Defined Step-3 Model (demolg5/step3_uscid_self.lgs)
- Dependent (Distal Outcome)
- Step 1+2: Classification (demolg5/step12_psychcontract.lgs)
- Step-3 Model (demolg5/step3_psychcontract.lgs)
- Covariate and Dependent
- Step 3 Model (demolg6/Step3CovariateDependent.lgs)
- Two Latent Variables
- Step1+2: Classification (demolg5/step12_evs.lgs)
- Step-3 Model (demolg5/step3_evs.lgs)
- User-Defined Step-3 Model (demolg5/step3_evs_self.lgs)
- With DIF
- With DIF (Step 1 and 2) (demolg6/political_step1&2_DIF.lgs)
- With DIF Cluster (Step 3) (demolg6/political_3cluster_step3_DIF.lgs)
- With DIF DFactor (Step 3) (demolg6/political_step3_DIF.lgs)
- Bakk-Kuha Method
- Bakk-Kuha Method (demolg6/political_Bakk-Kuha.lgs)
- Bakk-Kuha Method with Fixed Parameters (demolg6/political_Bakk-Kuha_parameters.lgs)
- For LC Tree
- For LC Tree (Covariate) (demolg6/LCTree_Step3_Covariate.lgs)
- For LC Tree (Dependent) (demolg6/LCTree_Step3_Dependent.lgs)
- For LC Growth Tree (demolg6/DFG_LC_growth_tree_step3.lgs)
- Using Class. Error Logits
- Using Class. Error Logits (Step 1 and 2) (demolg6/step12_uscid_logits.lgs)
- Using Class. Error Logits (Step 3) (demolg6/step3_uscid_logits.lgs)
- Latent Markov Model
- Step1+2 using Cluster (demolg5/step12_vtm.lgf)
- Step-3 Model (demolg5/step3_vtm.lgs)
- User-Defined Step-3 Model (demolg5/step3_vtm_self.lgs)
- Multilevel Latent Class Model
- Step1+2 using Cluster (demolg5/step12_mierlo_mbr.lgf)
- Step-3 Model (demolg5/step3_mierlo_mbr.lgs)
- User-Defined Step-3 Model (demolg5/step3_mierlo_mbr_self.lgs)
- Causal Effect of Classes
- Step 1 and 2 (demolg6/propensity_step1.lgs)
- Step 3a: Obtaining Propensities (demolg6/propensity_step3.lgs)
- Step 3b: Using Propensities (demolg6/propensity_latent.lgs)
- Continuous Latent Variables
- Step3 SEM (demolg6/holzinger-step3.lgs)
- Step3 IRT (demolg6/cito_step3.lgs)
- Step3 Multigroup Mixture SEM (demolg6/MMGSEM-step3.lgs)
- Scoring with Categorical Indicators
- Original Analysis: Classification (demolg5/step12_political.lgs)
- Scoring with Step3 Option (demolg5/scoring_political.lgs)
- Scoring with Continuous Indicators
- Original Analysis: Classification (demolg5/step12_diabetes.lgs)
- Scoring with Step3 Option (demolg5/scoring_diabetes.lgs)
- Scoring with Missing Values on Indicators
- Original Analysis: Classification (demolg5/step12_mierlo_socmeth.lgs)
- Scoring with Step3 Option (demolg5/scoring_mierlo_socmeth.lgs)
- Scoring for 2-DFactor Model
- Original Analysis: Classification (demolg5/step12_political_2LVs.lgs)
- Scoring with Step3 Option (demolg5/scoring_political_2LVs.lgs)
- Covariate (1)
- Special Models
- Log-linear Scale Models
- Nominal Regression (demolg5/agresti88_nominal_lg5.lgs)
- Ordinal Regression (demolg5/elliot_ordinal_reg_lg5.lgs)
- IRT Model (demolg5/heinen2_dichotomous_irt_lg5.lgs)
- Scale Classes/DFactor (demolg5/taalint.lgs)
- Models using Cell Weights
- Mover-Stayer Model (demolg5/poulsen_markov_lg5.lgs)
- Step-3 Model: Fixed Error (demolg5/step3_uscid_self.lgs)
- Perfect Indicator: No Error (demolg5/hagdu_lg5.lgs)
- BTL Ranking Model (demolg5/CROON89.lgs)
- Capture-Recapture Model (demolg5/capture_recapture.lgs)
- User-Defined Step-3 Models
- Step-3 Model with 2 LVs (demolg5/step3_evs_self.lgs)
- Step-3 Latent Markov Model (demolg5/step3_vtm_self.lgs)
- Step-3 Multilevel LC Model (demolg5/step3_mierlo_mbr_self.lgs)
- Discrete Latent Path Models
- Path Model (demolgs/political_path_model.lgs)
- 2-Wave Panel Study (demolgs/pac_pathmodel.lgs)
- 2-Process Markov Model (demolgs/jebs_cross-lagged.lgs)
- Multiple Processes
- Covariate Measurement Error (demolgs/S_RH_14.2.lgs)
- LC Covariate Measurement Error (demolgs/S_RH_14.3.lgs)
- CACE (demolgs/S_RH_14.4.lgs)
- Endogenous treatment (demolgs/S_RH_14.5.lgs)
- Joint Survival Marker (demolgs/S_RH_14.6.lgs)
- Nested (Latent) Markov Processes (demolg5/DFG.lgs)
- Other Models
- Micro-Macro Latent Class Model (demolg5/nkps_long.lgs)
- Response Style Model (demolg5/taalint.lgs)
- Manova (demolgs/diabetes_manova.lgs)
- Seemingly Unrelated Regressions (demolgs/seemingly_unrelated_regression.lgs)
- ACDE Twin Models (Dichotomous Dep.) (demolgs/ACDE.lgs)
- ACDE Twin Models (Continuous Dep.) (demolgs/ACDE_continuous_sim.lgs)
- Meta Analysis (Continuous Dep.) (demolgs/meta20.lgs)
- Meta Analysis (Dichotomuous Dep.) (demolgs/S_RH_9.5.lgs)
- Log-linear Scale Models
- Options
- Monte Carlo and Resampling
- Bootstrap Chi2 Statistics (demolg5/political_L2_lg5.lgs)
- Bootstrap -2LL Diff (demolgs/political_LLdiff.lgs)
- Bootstrap -2LL Diff (random start sets) (demolg5/political_LLdiff_lg5.lgs)
- Simple Bootstrap -2LL Diff (demolg6/political_range_LLdiff.lgs)
- Power Calculation for LR Tests (1) (demolgs/lca_power.lgs)
- Power Calculation for LR Tests (2) (demolgs/power_growth.lgs)
- Power Calculation using CV (demolg5/power_growth_lg5.lgs)
- MCstudy=model (demolgs/lca_mcstudy.lgs)
- MCstudy (demolgs/markov_MCstudy.lgs)
- Standard Errors (demolg5/patterson_standarderrors_lg5.lgs)
- Outfile options
- Classification (demolgs/conjoint_classification.lgs)
- Classification (Joint) (demolgs/political_dfactor_classification.lgs)
- Classification (Continuous Latent) (demolgs/heinen3_irt_classification.lgs)
- Classification using Keep (demolg5/step12_uscid.lgs)
- Prediction (demolgs/conjoint_prediction.lgs)
- Imputation (demolgs/fuchs_2class_imp.lgs)
- Simulation (demolgs/markov_simulate.lgs)
- Individual Coefficients (demolgs/conjoint_indcoeffs.lgs)
- Log-densities (demolg6/political_logdensities.lgs)
- BCH Weights (demolg6/political_bchweights.lgs)
- Factorscores per Class (demolg6/peetmis_factorscores_all.lgs)
- Factorscores Orthogonal (demolg6/holzinger-step1-step2.lgs)
- Write Options
- Write/Append (demolgs/lca_mcstudy.lgs)
- SPSS Scoring Syntax (demolg5/scoring_political.lgs)
- Generic Scoring Syntax (demolg5/scoring_mierlo_socmeth.lgs)
- WriteHessian (demolg5/political_write.lgs)
- WriteGradients (demolg5/political_write.lgs)
- WriteExemplary (demolg5/political_write.lgs)
- WriteParameters (demolg5/political_write.lgs)
- WriteExemplaryData (demolg6/exemplarydata.lgs)
- WriteFactorErrors (demolg6/holzinger-step1-step2.lgs)
- Output Options
- Reordering of Classes (demolg5/step12_political.lgs)
- Simple Vuong LLdiff (VLMR) (demolg6/political_range.lgs)
- Average Marginal Effects (1) (demolg6/gss82_covariates_margeff.lgs)
- Average Marginal Effects (2) (demolgs/bang_binary.lgs)
- Marginal Effects with Interactions (demolg6/mtcars.lgs)
- Sample Size for BIC (demolg6/samplesizeBIC.lgs)
- Chi-squared Values under MAR (demolg6/collinslanza_marchi2.lgs)
- Association Statistics (demolg6/mierlo_associationstatistics.lgs)
- Predictionstatistics=Conditional (demolg5/step3_psychcontract.lgs)
- Longitudinal BVRs (demolg5/schizophrenia.lgs)
- Twolevel BVRs (demolg5/schizophrenia.lgs)
- Profile=Posterior (demolg6/probmeans-model_and_profile-posterior.lgs)
- Probmeans=Model (demolg6/probmeans-model_and_profile-posterior.lgs)
- Longitudinal Profile (demolg5/schizophrenia.lgs)
- Scoring Equations + SPSS Syntax (demolg6/political_scoring_equations.lgs)
- Scoring Equations + R Syntax (demolg6/political_Rsyntax.lgs)
- Identification Check (demolgs/patterson_identification.lgs)
- Cross-validation Log-likelihood (demolgs/political_validationLL.lgs)
- Complex Sampling SEs (demolgs/patterson_complex.lgs)
- Robust/Bootstrap/Jackknife/Expected SEs (demolg5/patterson_standarderrors_lg5.lgs)
- SEs via SimulateParameters (demolg6/simulateparameters.lgs)
- Parameter Covariances/Correlations (demolgs/political_covariances.lgs)
- Ignoreknownclass (demolg5/hagdu_lg5.lgs)
- Ignoreclassification (demolg5/hagdu_lg5.lgs)
- Score Tests and EPCs (demolg5/dentistry_ScoreEPC.lgs)
- Score Tests and EPC(other)s (demolg5/Cito_irt_EPC.lgs)
- Score Tests for Multiple Parameters (demolg6/score_tests_defined_in_file.lgs)
- User-defined Wald Tests (demolg5/WaldUser.lgs)
- User-defined Asymptotic -2LL Diff Test (demolg6/LLdiffUser.lgs)
- User-defined Vuong -2LL Diff (VLMR) Test (demolg6/political_Vuong.lgs)
- Power Calculation for Wald Tests (demolg5/WaldPower.lgs)
- Power Calculation for -2LL Diff Test (demolg6/LLdiffPower.lgs)
- User Expressions (Indirect Effects) (demolg6/indirect_effects.lgs)
- Variables and Equations Options
- Running Models for Range of Classes (demolg6/political_range.lgs)
- Compact Specification Dependent (demolg6/varweight_and_scale_for_continuous.lgs)
- Dependent Variable Weighting (demolg6/varweight_and_scale_for_continuous.lgs)
- B-spline Independent Affecting Classes (demolg6/bspline_covariate.lgs)
- B-spline Time Effect in Growth Model (demolg6/bspline_predictor.lgs)
- Multiple Imputed Data Sets (demolgs/fuchs_imp_run.lgs)
- Multiple Simulated Data Sets (demolgs/markov_estimate.lgs)
- Select Cases (demolgs/political_select.lgs)
- Transition and Error Coding (demolgs/poulsen_markov.lgs)
- Diff, Nom, and Ord Coding (demolgs/heinen3_coding.lgs)
- Ord Coding (Response Style Model) (demolg5/taalint.lgs)
- Full Coding (demolgs/hag86_symmetry.lgs)
- Missing Value Dummies (demolg5/scoring_mierlo_socmeth.lgs)
- Cell Weight (~wei) (1) (demolg5/poulsen_markov_lg5.lgs)
- Cell Weight (~wei) (2) (demolg5/step3_uscid_self.lgs)
- User-defined Priors (~pri) (demolg6/political_priors.lgs)
- Correlation Structures (~ar1 and ~cor) (demolg6/srcddata_correlation_structures.lgs)
- Higher-Order Associations (demolg5/capture_recapture.lgs)
- Fixed Values from File (demolg5/step3_uscid_self.lgs)
- Starting Values from File (demolg5/markov_MCstudy_lg5.lgs)
- User Expressions (Indirect Effects) (demolg6/indirect_effects.lgs)
- Parametric Survival (1) (demolg6/survival.lgs)
- Parametric Survival (2) (demolg6/mort.lgs)
- Mixture Parametric Survival (demolg6/catheter_mixture.lgs)
- Multivariate Mixture Parametric Survival (demolg6/vinken_multivariate_survival.lgs)
- User Expressions with Ranges (demolg6/indirect_effects.lgs)
- Equations with Variable List at RHS (demolg6/mixture_ar1.lgs)
- Monte Carlo and Resampling
- New in LatentGOLD 6.0
- LC Tree Models
- Cluster Model (demolg6/treeSyntax.lgs)
- Growth Model (1) (demolg6/vermunt_tran_magidson_LC_growth_tree.lgs)
- Growth Model (2) (demolg6/DFG_LC_growth_tree.lgs)
- Saved Tree Models (demolg6/SavedTreeModels.lgs)
- Three-step LC analysis
- With DIF (Step 1 and 2) (demolg6/political_step1&2_DIF.lgs)
- With DIF Cluster (Step 3) (demolg6/political_3cluster_step3_DIF.lgs)
- With DIF DFactor (Step 3) (demolg6/political_step3_DIF.lgs)
- Bakk-Kuha Method (demolg6/political_Bakk-Kuha.lgs)
- Bakk-Kuha Method with Fixed Parameters (demolg6/political_Bakk-Kuha_parameters.lgs)
- For LC Tree (Covariate) (demolg6/LCTree_Step3_Covariate.lgs)
- For LC Tree (Dependent) (demolg6/LCTree_Step3_Dependent.lgs)
- For LC Growth Tree (demolg6/DFG_LC_growth_tree_step3.lgs)
- Using Class. Error Logits (Step 1 and 2) (demolg6/step12_uscid_logits.lgs)
- Using Class. Error Logits (Step 3) (demolg6/step3_uscid_logits.lgs)
- Exploratory FA
- EFA with Rotation (demolg6/peetmis_efa.lgs)
- Multiple-group EFA with Rotation (demolg6/peetmis_mg_efa.lgs)
- Multilevel Mixture EFA with Rotation (demolg6/peetmis_multilevel_mixture_efa.lgs)
- Output and Outfile Options
- Simple Vuong -2LL Diff (VLMR) (demolg6/political_range.lgs)
- User-defined Vuong -2LL Diff (VLMR) (demolg6/political_Vuong.lgs)
- Simple Bootstrap -2LL Diff (demolg6/political_range_LLdiff.lgs)
- Average Marginal Effects (1) (demolg6/gss82_covariates_margeff.lgs)
- Average Marginal Effects (2) (demolgs/bang_binary.lgs)
- Association Statistics (demolg6/mierlo_associationstatistics.lgs)
- Score Tests for Multiple Parameters (demolg6/score_tests_defined_in_file.lgs)
- Scoring Equations + SPSS Syntax (demolg6/political_scoring_equations.lgs)
- Scoring Equations + R Syntax (demolg6/political_Rsyntax.lgs)
- Log-densities to Outfile (demolg6/political_logdensities.lgs)
- User Expressions (Indirect Effects) (demolg6/indirect_effects.lgs)
- SEs via SimulateParameters (demolg6/simulateparameters.lgs)
- Predictionstatistics=Conditional (demolg5/step3_psychcontract.lgs)
- Variables and Equations Options
- Running Models for Range of Classes (demolg6/political_range.lgs)
- Hybrid Discrete/Continuous-time Markov (demolg6/DT_CT_Markov.lgs)
- Multinomial, MV Poisson, Dirichlet (demolg6/multinomial&dirichlet.lgs)
- Interval Censoring (demolg6/intervalcensoring.lgs)
- Dependent Variable Weighting (demolg6/varweight_and_scale_for_continuous.lgs)
- Compact Specification Dependent (demolg6/varweight_and_scale_for_continuous.lgs)
- B-spline Independent Affecting Classes (demolg6/bspline_covariate.lgs)
- B-spline Time Effect in Growth Model (demolg6/bspline_predictor.lgs)
- LC model for Causal Inference (ipw) (demolg6/LCAwithIPW.lgs)
- Obstype in CT Markov models (demolg6/obstype.lgs)
- User-defined Priors (~pri) (demolg6/political_priors.lgs)
- Correlation Structures (~ar1 and ~cor) (demolg6/srcddata_correlation_structures.lgs)
- User Expressions (Indirect Effects) (demolg6/indirect_effects.lgs)
- Scale Model for Continuous Variables (demolg6/varweight_and_scale_for_continuous.lgs)
- LC Tree Models
- New in LatentGOLD 6.1
- Variables and Equations Options
- Parametric Survival (1) (demolg6/survival.lgs)
- Parametric Survival (2) (demolg6/mort.lgs)
- Mixture Parametric Survival (demolg6/catheter_mixture.lgs)
- Multivariate Mixture Parametric Survival (demolg6/vinken_multivariate_survival.lgs)
- User Expressions with Ranges (demolg6/indirect_effects.lgs)
- Equations with Variable List at RHS (demolg6/mixture_ar1.lgs)
- Models for Continuous Latent Variables
- SEM Models (demolg6/PoliticalDemocracy.lgs)
- Partial Correlation or Network (demolg6/holzinger-sem-pco.lgs)
- Mixture Latent Autoregressive (demolg6/mixture_ar1.lgs)
- Multigroup Mixture SEM (demolg6/MMGSEM-1-step.lgs)
- Three-step SEM (demolg6/holzinger-step3.lgs)
- Three-step IRT (demolg6/cito_step3.lgs)
- Three-step Multigroup Mixture SEM (demolg6/MMGSEM-step3.lgs)
- Causal Effect of Classes
- Step 1 and 2 (demolg6/propensity_step1.lgs)
- Step 3a: Obtaining Propensities (demolg6/propensity_step3.lgs)
- Step 3b: Using Propensities (demolg6/propensity_latent.lgs)
- Ouput and Outfile options
- Marginal Effects with Interactions (demolg6/mtcars.lgs)
- BCH Weights (demolg6/political_bchweights.lgs)
- Factorscores per Class (demolg6/peetmis_factorscores_all.lgs)
- Factorscores Orthogonal (demolg6/holzinger-step1-step2.lgs)
- WriteFactorErrors (demolg6/holzinger-step1-step2.lgs)
- Variables and Equations Options