<h1 align="center"> _Rfast2_ </h1>

### **Version 0.1.3**
#### Date release: **22/03/2022**
***
> <u> **New** </u>
>
>  | 	   Function 	 |                     What's new!                    |
>  | :----------------: | :------------------------------------------------: |
>  | Runif   	  | Like R's runif but faster.			|
>  | Sample   	  | Like R's Sample but faster.			|
>  | Sample.int   | Like R's Sample.int but faster.			|
>  | colaccs      | Column-wise accuracies    |
>  | colsens      | Column-wise sensitivities |
>  | colspecs     | Column-wise specificities |
>  | colprecs     | Column-wise precisions    |
>  | colfscores   | Column-wise F-scores      |
>  | colfbscores  | Column-wise F-beta-scores  |
>  | colfmis      | Column-wise Fowlkes–Mallows index  |
>  | colfmses     | Column-wise MSEs      |
>  | colmaes      | Column-wise MAEs      |
>  | colpkl       | Column-wise Kullback-Leibler divergence for percentages  |
>  | colukl       | Column-wise Kullback-Leibler divergence for non-negative or non-negative values  |
>  | pinar1        | Poisson INAR(1) model estimation  |
>  | colpinar1    | Column-wise Poisson INAR(1) model estimation  |
>
>
> <u> **Improved** </u>(_**by speed, correctness or options**_) 
>
>  |	      Function	    |     What's new!     |
>  | :-----------------: | :-----------------------------------------: |
>  | Quantile, rowQuantile | Optimize algorithm |
>  | colQuantile  | Optimize algorithm and new method for data.frames |
>  | colTrimMean  | Optimize algorithm and new method for data.frames |

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### **Version 0.1.1**
#### Date release: **10/10/2021**
***
> <u> **New** </u>
>
>  | 	   Function 	 |                     What's new!                    |
>  | :----------------: | :------------------------------------------------: |
>  | mmhc.skel          | Skeleton of MMHC Bayesian network learning algorithm		|
>  | fedhc.skel   		 | Skeleton of FEDHC Bayesian network learning algorithm	|
>  | fe.lmfit   		 | Fixed effects linear regression for panel data			|

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### **Version 0.0.8**
#### Date release: **16/12/2019**
***
> <u> **New** </u>
>
>  | 	   Function 	   |                     What's new!                    |
>  | :----------------: | :------------------------------------------------: |
>  | gammareg           | Gamma regression                                   |
>  | gammaregs          | Many gamma regressions                             |
>  | cor_test   		     | Hypothesis testing for the correlation coefficient	|
>  | cor_test   		     | Hypothesis testing for the correlation coefficient	|
>  | hcf.circaov   	   | ANOVA for circular data                            |
>  | het.circaov     	 | ANOVA for circular data                            |
>  | lr.circaov    	   | ANOVA for circular data                            |
>  | multivm.mle   	   | Fitting many von Mises distributions               |
>  | multispml.mle   	 | Fitting many von SPML distributions                |
>  | depth.mahala   	   | Mahalanobis depth                                  |
>  | perm.ttest2   	   | Permutation based 2 sample t-test                  |
>  | lm.parboot     	   | Parametric bootstrap for linear models             |
>  | weibull.nb     	   | Weibull Naive Bayes (NB) classifier                |
>  | weibullnb.pred  	 | Prediction using Weibull NB classifier             |
>  | normlog.nb     	   | Gaussian(log-link) NB classifier                   |
>  | normlognb.pred     | Prediction using Gaussian(log-link) NB classifier  |
>  | laplace.nb     	   | Laplace NB classifier                              |
>  | laplacenb.pred  	 | Prediction using Laplace NB classifier             |
>  | vm.nb     	       | von Mises NB classifier                            |
>  | vmnb.pred  	       | Prediction using von Mises NB classifier           |
>  | spml.nb     	     | SPML NB classifier                                 |
>  | spml.pred  	       | Prediction using SPML NB classifier                |

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### **Version 0.0.4**
#### Date release: **28/07/2019**
***
> <u> **Improved** </u>(_**by speed, correctness or options**_) 
>
>  |	      Function	    |     What's new!     |
>  | :-----------------: | :-----------------------------------------: |
>  | bic.regs            | Addition SPML and Weibull regression |
>  | pc.sel              | Time improvement |
>  | welch.tests         | Time improevement |
>
>
> <u> **New** </u>
>
>  | 	   Function		    |                      What's new!                      |
>  | :-----------------: | :---------------------------------------------------: |
>  |     cls     			  |  Constrained least squares regression         		|
>  |     cluster.lm  		|  Linear regression with clustered data         		|
>  |     colborel.mle		|  Column-wise MLE of the Borel distribution      		|
>  |     collogitnorm.mle	|  Column-wise MLE of the logistic normal distribution  |
>  |     collognorm.mle	|  Column-wise MLE of the log-normal distribution 		|
>  |     cospml.mle	    |  Column-wise MLE of the SPML distribution      		|
>  |     empirical.entropy	|  Empirical entropy estimation with continuous data    |
>  |     fbed.reg     		|  FBED variable selection algorithm         	     	|
>  |     gumbel.reg  		|  Gumbel regression					         		|
>  |     moranI     		|  Moran's I measure of spatial autocorrelation   		|
>  |     multinom.reg      |  Multinomial regression						   		|
>  |     negbin.reg     	|  Negative binomial regression					   		|
>  |     pca        		|  Principal component analysis					   		|
>  |     refmeta     		|  Random effects meta-analysis estimation		   		|
>  |     simplex.mle     	|  MLE of the simplex distribution				   		|
>  |     weib.regs     	|  Many simple weibull regressions				  		|
>  |     ztp.reg     		|  zero truncated Poisson regression			   		|
>  |     mmpc2     		|  MMPC variable selection algorithm			   		|
>  |  is.skew.symmetric  |  Checking if the given matrix is skew-symmetric. |

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### **Version 0.0.3**
#### Date release: **08/05/2019**
***
><u> **Improved** </u>(_**by speed, correctness or options**_) 
>
>  | 	    Function	    |                What's new!                  |
>  | :-----------------: | :-----------------------------------------: |
>  | benchmark						|	fix a bug in printing names. 			  |

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### **Version 0.0.2**
#### Date release: **08/05/2019**
***
><u> **New** </u>
>
>  | 	   Function		    |                         What's new!                    |
>  | :-----------------: | :----------------------------------------------------: |
>  | gee.reg             | Gereneralised estimating equations Gaussian regression |
>  | halfcauchy.mle      | MLE of the half Cauchy distribution  |
>  | kumar.mle           | MLE of the Kumaraswamy distribution  |
>  | powerlaw.mle        | MLE of the power law distribution  |
>  | reg.mle.lda         | Regularised maximum likleihood linear discriminant analysis |
>  | walter.ci           | Confidence interval for the relative risk using Walter's method |
>  | welch.tests         | Many Welch t-tests |

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### **Version 0.0.1**
#### Date release: **19/03/2019**
***
><u> **New** </u>
>
>  | 	   Function		    |                           What's new!                           |
>  | :-----------------: | :-------------------------------------------------------------: |
>  | add.term            | Add many single terms to a model. |
>  | bic.regs            | BIC of many univariate regressions. |
>  | censpois.mle        | MLE of the left censored Poisson distribution. |
>  | cesweibull.mle      | MLE of the censored Weibull distribution. |
>  | circ.cor1           | Circurlar correlations between two circular variables. |
>  | circ.cors1          | Circurlar correlations between a circular and many circular variables. |
>  | colmeansvars        | Column-wise means and variances of a matrix. |
>  | covar               | Covariance betweeen a vector and a matrix. |
>  | diffic              | Difficulty of items (psychometric theory). |
>  | discrim             | Discrimination of items (psychometric theory). |
>  | gammapois.mle       | MLE of the gamma-Poisson distribution. |
>  | km                  | Kaplan-Meier estimate of a survival function. |
>  | logiquant.regs      | Many simple quantile regressions using logistic regressions. |
>  | mle.lda             | Maximum likelihood linear discriminant analysis. |
>  | pc.sel              | Variable selection using the PC-simple algorithm. |
>  | pooled.colVars      | Column-wise pooled variances across groups. |
>  | purka.mle           | MLE of the Purkayastha distribution. |
>  | sp.logiregs         | Many approximate simple logistic regressionss. |
>  | trunccauchy.mle     | MLE of the truncated Cauchy distribution. |
>  | truncexpmle         | MLE of the truncated exponential distribution. |
>  | wald.poisrat        | Wald confidence interval for the ratio of two Poisson variables. |
>  | col.waldpoisrat     | Column-wise Wald confidence interval for the ratio of two Poisson variables. |
>  | welch.tests         | Many Welch tests. |
>  | zigamma.mle         | MLE of the zero inflated Gamma distribution. |
>  | ziweibull.mle       | MLE of the zero inflated Weibull distribution. |
>  | zil.mle             | MLE of the zero inflated logistic normal distribution. |
>  | Intersect           | Intersect as R's.                           |
>  | is.lower.tri        | Check if a matrix is lower triangular.       |
>  | is.upper.tri        | Check if a matrix is upper triangular.       |
>  | lud                 | Split a matrix to a lower,upper matrix and diagonal vector.|
>  | Merge               | Merge 2 sorted vectors to a sorted vector.                 |
>  | benchmark           | Measure code's execution time.                 |
>  | colGroup            | Apply Rfast's gorup function to each column with some restrictions. |
>  | Quantile            | Quantile(s) of a vector.                 |
>  | colQuantile         | Column-wise quantile(s) of a matrix.     |
>  | rowQuantile         | Row-wise quantile(s) of a matrix.        |
>  | trim.mean           | Trimmed mean of a vector.                |
>  | colTrimMean         | Column-wise trimmed mean of a matrix.    |
>  | rowTrimMean         | Row-wise trimmed mean of a matrix.       |
