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Description

XLSTAT is a complete analysis and statistics add-in for Excel. It has been developed since 1993. XLSTAT includes more than 240 features in general or field-specific solutions. The use of Excel as an interface makes XLSTAT a user-friendly and highly efficient statistical and multivariate data analysis package. It includes regression (linear, logistic, nonlinear), multivariate data analysis (Principal Component Analysis, Discriminant Analysis, Correspondence Analysis, Multidimensional Scaling, Agglomerative Hierarchical Clustering, K-means, K-Nearest Neighbors, Decision trees), correlation tests, parametric tests, non parametric tests, ANOVA, ANCOVA, mixed models and much more. Field-specific solutions allow for advanced multivariate analysis (RDA, CCA, MFA), Preference Mapping and other sensometrics tools, Statistical Process Control, Simulations, Time series analysis, Dose response effects, Survival models, Conjoint analysis, PLS modelling, Structural Equation Modelling, OMICS data analysis... Optional modules include 3D Visualization and Latent Class models. The XLSTAT statistical analysis software is compatible with all Excel versions from 2003 to 2016. A Mac version is also available on the XLSTAT website.

Description

Statsmodels is a Python library designed for the estimation of various statistical models, enabling users to perform statistical tests and explore data effectively. Each estimator comes with a comprehensive array of result statistics, which are validated against established statistical software to ensure accuracy. This package is distributed under the open-source Modified BSD (3-clause) license, promoting free use and modification. Users can specify models using R-style formulas or utilize pandas DataFrames for convenience. To discover available results, you can check dir(results), and you will find that attributes are detailed in results.__doc__, while methods include their own docstrings for further guidance. Additionally, numpy arrays can be employed as an alternative to formulas. For most users, the simplest way to install statsmodels is through the Anaconda distribution, which caters to data analysis and scientific computing across various platforms. Overall, statsmodels serves as a powerful tool for statisticians and data analysts alike.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Anaconda No 
Python No 

Integrations

Anaconda Yes 
Python Yes 

Pricing Details

$275.00/year/user
Free Trial Yes 
Free Version Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Lumivero

Founded

1995

Country

United States

Website

lumivero.com/products/xlstat/

Vendor Details

Company Name

statsmodels

Website

www.statsmodels.org/stable/index.html

Product Features

SPC

Corrective Actions (CAPA) No 
Data Entry Yes 
Data Linking Yes 
Data Management Yes 
Excel Loader Yes 
Job Management No 
OPC Data Collection No 
Performance Metrics No 
Point-of-Production Analysis No 
Real Time Data Collection No 
Regulatory Compliance No 

Statistical Analysis

Analytics Yes 
Association Discovery Yes 
Compliance Tracking Yes 
File Management No 
File Storage Yes 
Forecasting Yes 
Multivariate Analysis Yes 
Regression Analysis Yes 
Statistical Process Control Yes 
Statistical Simulation Yes 
Survival Analysis Yes 
Time Series Yes 
Visualization Yes 

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