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GraphPad InStat – very simple with much guidance and explanations; GraphPad Prism – biostatistics and nonlinear regression with clear explanations; Igor Pro - programming language with statistical features and numerical analysis; IMSL Numerical Libraries – software library with statistical algorithms; JMP – visual analysis and ...
GraphPad Prism: GraphPad Software, Inc. February 2009 () No Proprietary: GUI: gretl: The gretl Team 2024d (12 December 2024 ()) Yes GNU GPL: CLI, GUI: C hansl Jamovi: The jamovi project 2023a (14 February 2024 ()) Yes GNU GPL: GUI: C++, R, JavaScript, Python JASP: JASP team University of Amsterdam
The following tables provide a comparison of numerical analysis software. ... ADMB Project 1989 1990 13.1 ... .NET, [51] Java, [52] Excel [53] Maxima No Yes No No Yes ...
GraphPad Prism is a commercial scientific 2D graphing and statistics software for Windows and Mac OS desktop computers. Software features include nonlinear regression , with functionalities including the removal of outliers, comparisons of models, comparisons of curves, and interpolation of standard curves.
It is developed in Java and open source. Both: Albrecht F: 2015 HMMER: Local and global search with profile Hidden Markov models, more sensitive than PSI-BLAST: Both: Durbin R, Eddy SR, Krogh A, Mitchison G [6] 1998 HH-suite: Pairwise comparison of profile Hidden Markov models; very sensitive: Protein: Söding J [7] [8] 2005/2012 IDF Inverse ...
As a result of two explicit pairwise comparisons – i.e. explicitly performed by the decision-maker – five of the six undominated pairs have been ranked. The decision-maker may cease ranking whenever she likes (before all undominated pairs are ranked), but let's suppose she continues and ranks the remaining pair (v) as a2 + b1 + c2 > a1 + b2 ...
Their method was a general one, which considered all kinds of pairwise comparisons. [7] Tukey's and Scheffé's methods allow any number of comparisons among a set of sample means. On the other hand, Dunnett's test only compares one group with the others, addressing a special case of multiple comparisons problem—pairwise comparisons of ...
If only a fixed number of pairwise comparisons are to be made, the Tukey–Kramer method will result in a more precise confidence interval. In the general case when many or all contrasts might be of interest, the Scheffé method is more appropriate and will give narrower confidence intervals in the case of a large number of comparisons.