Dataset Simulation | Basic statistics | Time spent in each state over a period of length $T_{\max}$: | Number of jumps in $[0,T_{\max}]$: | Probabilities to be in some state $x$ at time $t$, $p_{x}(t)$: | Transitions in $[0,T_{\max}]$: | Encoding | Concept | Mathematical Background | Application | Reconstruct indicators

Parameters | Data | Model | Algo | Available Models | Overview | Details | Gaussian | Weibull | Poisson | NegativeBinomial | Multinomial | Rank_ISR | Func_CS and Func_SharedAlpha_CS | Data Format | Real Data: Gaussian | Real Positive Data: Weibull | Counting Data: Poisson & NegativeBinomial | Categorical Data: Multinomial | Rank Data | Functional Data: Func_CS & Func_SharedAlpha_CS | R Functional Model | Missing Data Summary | (Semi-)Supervised Clustering

MixtComp Object | warnLog | algo | mixture | variable | type | data | param | MixtCompLearn Object

Step 1: Data Preparation | Step 2: Learning | Step 3: Interpretation and Visualization | Step 4: Prediction

Notations | Ranking and ordering notation | Example | Rankcluster format | Multivariate Ranks | Partial Missing Ranks | Ranks with tied positions